From e3fcd75595fe928b6e97ee9b962fd3032ff453aa Mon Sep 17 00:00:00 2001 From: javier Date: Thu, 6 Mar 2025 20:04:19 +0100 Subject: [PATCH 01/35] first version of questdb internals --- documentation/guides/questdb-internals.md | 295 ++++++++++++++++++++++ 1 file changed, 295 insertions(+) create mode 100644 documentation/guides/questdb-internals.md diff --git a/documentation/guides/questdb-internals.md b/documentation/guides/questdb-internals.md new file mode 100644 index 000000000..2404331fc --- /dev/null +++ b/documentation/guides/questdb-internals.md @@ -0,0 +1,295 @@ +--- +id: questdb-internals +title: QuestDB Internals +slug: questdb-internals +description: A deep technical dive into the internal architecture, storage engine, query processing, and native integrations of QuestDB. +--- + +## Introduction + +QuestDB serves high-speed ingestion and low-latency analytics on time-series data. It +ingests billions of rows per day and delivers sub-millisecond query latencies. This document +explains QuestDB’s internal architecture, storage engine, query processing, data ingestion +strategies, native memory management, and more. + +- **High performance:** The system ingests data rapidly and executes SQL queries fast. +- **Columnar storage & sequential reads:** Data is stored by columns and partitioned by + incremental timestamp so that most queries read data sequentially. +- **Direct memory & native integrations:** The engine uses off-heap memory and executes native + calls from Java to C++ and Rust to minimize hotpath allocations and reduce garbage collection + slowdowns. +- **Multi-protocol support:** QuestDB supports a rich SQL interface, PostgreSQL wire protocol, a + REST API, and ILP (Influx Line Protocol) for high-speed ingestion. +- **Parallel processing:** QuestDB uses available resources to run many operations in parallel. + +## High-level architecture + +QuestDB comprises several key components: + +- **Storage engine:** + The engine uses a column-oriented design to ensure high I/O performance and low latency. + +- **Memory management and native integration:** + The system leverages both memory mapping and explicit memory management techniques, + and integrates native code for performance-critical tasks. + +- **Query processor:** + A custom SQL parser, a just-in-time (JIT) compiler, and a vectorized execution engine process + data in table page frames for better CPU use. + +- **Data ingestion engine:** + The engine supports bulk and streaming ingestion. It writes data to a row-based write-ahead + log (WAL) and then converts it into a columnar format. In QuestDB Enterprise, the WAL segments + ship to object storage for replication. + +- **Networking layer:** + The system exposes RESTful APIs and implements ILP and PostgreSQL wire protocols so that + existing tools and drivers work out-of-the-box. It also offers a health and metrics endpoint. + +- **Observability:** + QuestDB provides real-time metrics, a health check endpoint, and logging to monitor + performance and simplify troubleshooting. + +- **Web console:** + The engine includes a web console to run SQL statements, bulk load CSV files, and show + monitoring dashboards. QuestDB Enterprise supports single sign-on (SSO) in the web console. + +## Storage engine + +### Column-oriented storage + +- **Data layout:** + The system stores each table as separate files per column. Fixed-size data types use one file + per column, while variable-size data types (such as `VARCHAR` or `STRING`) use two files per column. + +- **CPU optimization:** + Columnar storage improves CPU use during vectorized operations, which speeds up + aggregations and computations. + +- **Compression:** + Uniform data types allow efficient compression that reduces disk space and speeds up reads + when ZFS compression is enabled. + +## Memory management and native integration + +### Memory-mapped files + +- **Direct OS integration:** + Memory-mapped files let QuestDB use the operating system’s page cache. This reduces explicit + I/O calls and speeds up sequential reads. + +- **Sequential access:** + When data partitions by incremental timestamp, memory mapping ensures that reads are + sequential and efficient. + +### Direct memory management and native integration + +- **Off-heap memory usage:** + QuestDB allocates direct memory via memory mapping and low-level APIs (such as Unsafe) to + bypass the JVM garbage collector. This reduces latency spikes and garbage collection delays. + +- **Hotpath efficiency:** + The system pre-allocates and reuses memory in critical code paths, avoiding dynamic allocation + on the hotpath. + +- **Native code integration:** + QuestDB uses native libraries written in C++ and Rust for performance-critical tasks. These + native components share off-heap buffers with Java via JNI. + - **Zero-copy interoperability:** + Sharing memory between Java and native code minimizes data copying and reduces latency. + - **Hybrid architecture:** + This integration lets QuestDB use Java for rapid development and C++/Rust for low-level, + high-performance routines. + +## Query engine + +### SQL parsing & optimization + +- **Custom SQL parser:** + The parser supports QuestDB’s SQL dialect and time-series extensions. It converts SQL queries + into an optimized abstract syntax tree (AST). + +- **Compilation pipeline:** + The engine compiles SQL into an execution plan through stages that push down predicates and + rewrite queries to remove unnecessary operations. + +- **Optimization techniques:** + The planner applies rule-based rewrites and simple cost estimations to choose efficient + execution paths. + +### Execution model + +- **Vectorized processing:** + The engine applies the same operation to many data elements simultaneously. This maximizes CPU + cache use and reduces overhead. + +- **JIT compilation:** + Many queries compile critical parts of the execution plan to native machine code just in time. + +- **Query plan caching:** + The system caches query plans for reuse within the same connection. (Query results are not + cached.) + +- **Column data caching:** + Data pages read from disk are kept in system memory. Sufficient memory prevents frequent disk + reads. + +- **Operator pipeline:** + The execution plan runs as a series of operators (filters, joins, aggregators) in a tightly + integrated pipeline. + +- **Parallel execution:** + The engine distributes workloads across multiple threads. Most operations run in parallel, + though some, such as index searches, run single-threaded. + +## Time-series optimizations + +### Designated timestamp + +- **Timestamp sorting:** + Data stores in order of incremental timestamp. Since ingestion is usually + chronological, the system often uses a fast append-only strategy. + +- **Out-of-order data:** + When data arrives out of order, QuestDB rearranges it to maintain timestamp order. The + engine splits partitions to minimize write amplification and compacts them in the background. + +- **Rapid range queries:** + Sorted data lets the system quickly locate the start and end of data files, which speeds + up range queries. + +### Data partitioning and sequential reads + +- **Partitioning by time:** + Data partitions by timestamp with hourly, daily, weekly, monthly, or yearly resolution. + +- **Partition pruning:** + The design lets the engine skip partitions that fall outside query filters. Combined with + incremental timestamp sorting, this reduces latency. + +- **Enhanced compression:** + Chronologically sorted data compresses better when ZFS compression is enabled, which + further improves disk I/O. + +- **Lifecycle policies:** + The system can delete partitions manually or automatically via TTL. It also supports + detaching or attaching partitions using SQL commands. + +### In-memory processing + +- **Caching:** + The engine caches recent and frequently accessed data in memory, reducing disk reads. + +- **Off-heap buffers:** + Off-heap memory, managed via memory mapping and direct allocation, avoids garbage + collection overhead. + +- **Optimized algorithms:** + Core query operators work on data vectors and use CPU-level optimizations such as SIMD. + +## Data ingestion & write path + +### Bulk ingestion + +- **CSV ingestion:** + QuestDB offers a CSV ingestion endpoint via the REST API and web console. A specialized COPY + command uses io_uring on fast drives to speed up ingestion. + +### Real-time streaming + +- **High-frequency writes:** + The streaming ingestion path handles millions of rows per second with non-blocking I/O. + +- **Durability:** + The system writes data to a row-based write-ahead log (WAL) and then converts it into column- + based files for efficient reads. + +- **Concurrent writes:** + Multiple connections writing to the same table create parallel WAL files that the engine + later consolidates into columnar storage. + +### ILP protocol support + +- **Native ILP integration:** + QuestDB supports the Influx Line Protocol (ILP) for high-speed data ingestion. + +- **Minimal parsing overhead:** + The ILP parser quickly maps incoming data to internal structures. + +- **Parallel ingestion:** + The ILP path uses off-heap buffers and direct memory management to bypass JVM heap + allocation. + +- **Protocol versatility:** + In addition to ILP, QuestDB supports REST and PostgreSQL wire protocols. + +## Observability & diagnostics + +- **Metrics:** + QuestDB exposes detailed metrics in Prometheus format, including query statistics, memory + usage, and I/O details. + +- **Health check:** + A minimal HTTP server monitors system health. + +- **Metadata tables:** + The engine provides metadata tables to query table status, partition status, query execution, + and latency. + +- **Extensive logging:** + Logging covers SQL parsing, execution, background processing, and runtime exceptions. The + framework minimizes performance impact. + +- **Real-time metric dashboards:** + The web console lets you create dashboards that display per-table metrics. + +## Design patterns & best practices + +- **Immutable data structures:** + The system favors immutability to avoid concurrency issues and simplify state + management. + +- **Modular architecture:** + Each component (storage, query processing, ingestion, etc.) has well-defined interfaces + that enhance maintainability. + +- **Factory & builder patterns:** + The engine uses these patterns to centralize construction logic for complex objects like SQL + execution plans and storage buffers. + +- **Lazy initialization:** + Resource-intensive components initialize only when needed to reduce startup overhead. + +- **Rigorous testing & benchmarks:** + Unit tests, integration tests, and performance benchmarks ensure that new enhancements do + not compromise reliability or speed. + +## Security + +- **Built-in admin and read-only users:** + QuestDB includes built-in admin and read-only users for the pgwire protocol and HTTP + endpoints using HTTP Basic Auth. + +- **HTTP basic authentication:** + You can enable HTTP Basic Authentication for the HTTP API, web console, and pgwire + protocol. Health-check and metrics endpoints can be configured independently. + +- **Token-based authentication:** + QuestDB Enterprise offers HTTP and JWT token authentication. QuestDB Open Source + supports token authentication for ILP over TCP. + +- **TLS on all protocols:** + QuestDB Enterprise supports TLS on all protocols and endpoints. + +- **Role-based access control:** + Enterprise users can create user groups and assign service accounts and users. Grants can be + configured individually or at the group level with fine granularity, including column-level + access. + +- **Single sign-on:** + QuestDB Enterprise supports SSO via OIDC with Active Directory, EntraID, or OAuth2. + +## Further reading & resources + +- [QuestDB GitHub Repository](https://github.com/questdb/questdb) +- [QuestDB Documentation](/docs) From 5077d2662fc71e1b97054e45ab8720f148020218 Mon Sep 17 00:00:00 2001 From: goodroot <9484709+goodroot@users.noreply.github.com> Date: Mon, 10 Mar 2025 13:11:07 -0700 Subject: [PATCH 02/35] remove duplication --- documentation/guides/questdb-internals.md | 37 ++++++++--------------- 1 file changed, 12 insertions(+), 25 deletions(-) diff --git a/documentation/guides/questdb-internals.md b/documentation/guides/questdb-internals.md index 2404331fc..8bd548482 100644 --- a/documentation/guides/questdb-internals.md +++ b/documentation/guides/questdb-internals.md @@ -5,48 +5,35 @@ slug: questdb-internals description: A deep technical dive into the internal architecture, storage engine, query processing, and native integrations of QuestDB. --- -## Introduction +QuestDB offers high-speed ingestion and low-latency analytics on time-series data. -QuestDB serves high-speed ingestion and low-latency analytics on time-series data. It -ingests billions of rows per day and delivers sub-millisecond query latencies. This document -explains QuestDB’s internal architecture, storage engine, query processing, data ingestion -strategies, native memory management, and more. +This document explains QuestDB's internal architecture. -- **High performance:** The system ingests data rapidly and executes SQL queries fast. -- **Columnar storage & sequential reads:** Data is stored by columns and partitioned by - incremental timestamp so that most queries read data sequentially. -- **Direct memory & native integrations:** The engine uses off-heap memory and executes native - calls from Java to C++ and Rust to minimize hotpath allocations and reduce garbage collection - slowdowns. -- **Multi-protocol support:** QuestDB supports a rich SQL interface, PostgreSQL wire protocol, a - REST API, and ILP (Influx Line Protocol) for high-speed ingestion. -- **Parallel processing:** QuestDB uses available resources to run many operations in parallel. +## Key components -## High-level architecture +QuestDB is comprised of several key components: -QuestDB comprises several key components: - -- **Storage engine:** +- **[Storage engine](#storage-engine):** The engine uses a column-oriented design to ensure high I/O performance and low latency. -- **Memory management and native integration:** +- **[Memory management and native integration](#memory-management-and-native-integration):** The system leverages both memory mapping and explicit memory management techniques, and integrates native code for performance-critical tasks. -- **Query processor:** +- **[Query processor](#query-engine):** A custom SQL parser, a just-in-time (JIT) compiler, and a vectorized execution engine process data in table page frames for better CPU use. -- **Data ingestion engine:** +- **[Data ingestion engine](#data-ingestion--write-path):** The engine supports bulk and streaming ingestion. It writes data to a row-based write-ahead log (WAL) and then converts it into a columnar format. In QuestDB Enterprise, the WAL segments ship to object storage for replication. -- **Networking layer:** +- **[Networking layer](#ilp-protocol-support):** The system exposes RESTful APIs and implements ILP and PostgreSQL wire protocols so that existing tools and drivers work out-of-the-box. It also offers a health and metrics endpoint. -- **Observability:** +- **[Observability](#observability--diagnostics):** QuestDB provides real-time metrics, a health check endpoint, and logging to monitor performance and simplify troubleshooting. @@ -75,7 +62,7 @@ QuestDB comprises several key components: ### Memory-mapped files - **Direct OS integration:** - Memory-mapped files let QuestDB use the operating system’s page cache. This reduces explicit + Memory-mapped files let QuestDB use the operating system's page cache. This reduces explicit I/O calls and speeds up sequential reads. - **Sequential access:** @@ -106,7 +93,7 @@ QuestDB comprises several key components: ### SQL parsing & optimization - **Custom SQL parser:** - The parser supports QuestDB’s SQL dialect and time-series extensions. It converts SQL queries + The parser supports QuestDB's SQL dialect and time-series extensions. It converts SQL queries into an optimized abstract syntax tree (AST). - **Compilation pipeline:** From d9912db925dacd69a2ee35b3e90ab2d4dec0b33f Mon Sep 17 00:00:00 2001 From: javier Date: Tue, 11 Mar 2025 19:39:28 +0100 Subject: [PATCH 03/35] final javier's review --- documentation/concept/interval-scan.md | 1 + documentation/concept/partitions.md | 1 + documentation/concept/storage-model.md | 2 + documentation/concept/write-ahead-log.md | 2 + documentation/guides/questdb-internals.md | 329 +++++++++++++++--- documentation/operations/rbac.md | 14 +- .../guides/questdb-internals/query_plan.webp | Bin 0 -> 11360 bytes .../questdb-high-level-architecture.svg | 1 + .../guides/questdb-internals/telemetry.webp | Bin 0 -> 68794 bytes 9 files changed, 288 insertions(+), 62 deletions(-) create mode 100644 static/images/guides/questdb-internals/query_plan.webp create mode 100644 static/images/guides/questdb-internals/questdb-high-level-architecture.svg create mode 100644 static/images/guides/questdb-internals/telemetry.webp diff --git a/documentation/concept/interval-scan.md b/documentation/concept/interval-scan.md index 0b559fb63..7077e5fcf 100644 --- a/documentation/concept/interval-scan.md +++ b/documentation/concept/interval-scan.md @@ -39,6 +39,7 @@ that falls outside the relevant intervals. However, it's important to note that **Interval Scan** does not apply to the results of sub-queries, as the data returned from a sub-query is not guaranteed to be in timestamp order. + + This document explains QuestDB's internal architecture. @@ -33,29 +42,81 @@ QuestDB is comprised of several key components: The system exposes RESTful APIs and implements ILP and PostgreSQL wire protocols so that existing tools and drivers work out-of-the-box. It also offers a health and metrics endpoint. +- **[Replication layer](#replication):** + QuestDB Enterprise supports horizontal scalability for reads with read replicas, and for + writes with multi-primary. + - **[Observability](#observability--diagnostics):** QuestDB provides real-time metrics, a health check endpoint, and logging to monitor performance and simplify troubleshooting. -- **Web console:** +- **[Web console](/docs/web-console/):** The engine includes a web console to run SQL statements, bulk load CSV files, and show monitoring dashboards. QuestDB Enterprise supports single sign-on (SSO) in the web console. ## Storage engine +### Parallel Write-Ahead-Log + +- **Two-phase writes**: All changes to data are recorded in a Write-Ahead-Log (WAL) before they +are written to the database files. This means that in case of a system crash or power failure, the database can recover to a consistent state by replaying the log entries. + +- **Commit and write separation**: By decoupling the transaction commit from the disk write process, +a WAL improves the performance of write-intensive workloads, as it allows for sequential disk writes +which are generally faster than random ones. + +- **Per-table WAL**: WAL files are separated per table, and also per active connection, allowing for +concurrent data ingestion, modifications, and schema changes without locking the entire table. + +- **WAL Consistency**: QuestDB implements a component called "Sequencer", which ensures that data +appears consistent to all readers, even during ongoing write operations. + + + + +- **TableWriter**: Changes stored in the WAL, is stored in columnat format by the TableWriter, which +can handle and resolve out-of-order data writes, and enables deduplication. Column files use an +[append model](/docs/concept/storage-model/). + + + + ### Column-oriented storage - **Data layout:** The system stores each table as separate files per column. Fixed-size data types use one file per column, while variable-size data types (such as `VARCHAR` or `STRING`) use two files per column. + + + + - **CPU optimization:** Columnar storage improves CPU use during vectorized operations, which speeds up aggregations and computations. - **Compression:** Uniform data types allow efficient compression that reduces disk space and speeds up reads - when ZFS compression is enabled. + when [ZFS compression](/docs/guides/compression-zfs/) is enabled. Parquet files generated + by QuestDB use native compression. ## Memory management and native integration @@ -104,14 +165,57 @@ QuestDB is comprised of several key components: The planner applies rule-based rewrites and simple cost estimations to choose efficient execution paths. +- **Columnar reads:** + Table columns are randomly accessible. Columns with fixed size data types are read by translating + the record number into a file offset by a simple bit shift. The offset in the column file is then + translated into an offset in a lazily mapped memory page, where the required value is read from. + + + + ### Execution model -- **Vectorized processing:** - The engine applies the same operation to many data elements simultaneously. This maximizes CPU - cache use and reduces overhead. +- **Operator pipeline:** + The execution plan runs as a series of operators (filters, joins, aggregators) in a tightly + integrated pipeline. + + + +- **JIT compilation and Vectorized processing:** + Queries with a `WHERE` clause [compile](/docs/concept/jit-compiler) critical parts of the execution plan to native machine code (SIMD AVX-2 instructions) just in time. Vectorised instructions apply + the same operation to many data elements simultaneously. This maximizes CPU cache use and reduces overhead. + +- **Multi-threaded execution:** + On top of the JIT, QuestDB tries to execute as many queries as possible in a multi-threaded, + multi-core fashion. Some queries, for example those involving an index, are executed on a single + thread. Other queries, like those involving `GROUP BY` and `SAMPLE BY`, execute a pipeline with some single-threaded stages and some multi-threaded stages to avoid slow downs when groups are unbalanced. + +
+ +```mermaid +graph TD + A["Publish aggregate tasks
(Single thread)"] --> B["Filter & Aggregate
(N threads)"] + B --> C["Publish merge tasks
(Single thread)"] + C --> D["Merge partition parts
(N threads)"] + D --> E["Collect results
(Single thread)"] +``` -- **JIT compilation:** - Many queries compile critical parts of the execution plan to native machine code just in time. +
+ +- **Worker pools:** QuestDB allows to configure different pools for specialized functions, like +parsing incoming data, applying WAL file changes, handling PostgreSQL-Wire protocol, or responding to HTTP connections. By default, most tasks are handled by a shared worker pool. - **Query plan caching:** The system caches query plans for reuse within the same connection. (Query results are not @@ -121,13 +225,6 @@ QuestDB is comprised of several key components: Data pages read from disk are kept in system memory. Sufficient memory prevents frequent disk reads. -- **Operator pipeline:** - The execution plan runs as a series of operators (filters, joins, aggregators) in a tightly - integrated pipeline. - -- **Parallel execution:** - The engine distributes workloads across multiple threads. Most operations run in parallel, - though some, such as index searches, run single-threaded. ## Time-series optimizations @@ -135,28 +232,46 @@ QuestDB is comprised of several key components: - **Timestamp sorting:** Data stores in order of incremental timestamp. Since ingestion is usually - chronological, the system often uses a fast append-only strategy. + chronological, the system uses a fast append-only strategy, except for updates and out-of-order data. + +- **Rapid interval queries and sequential reads:** + Sorted data lets the system quickly locate the start and end of data files, which speeds + up [interval queries](/docs/concept/interval-scan/). When data is accessed by increasing timestamp, + reads are sequential for each column file, which makes I/O very efficient. + + + - **Out-of-order data:** - When data arrives out of order, QuestDB rearranges it to maintain timestamp order. The - engine splits partitions to minimize write amplification and compacts them in the background. + When data arrives out of order, QuestDB [rearranges it](/docs/concept/partitions/#splitting-and-squashing-time-partitions) to maintain timestamp order. The + engine splits partitions to minimize [write amplification](/docs/operations/capacity-planning/#write-amplification) and compacts them in the background. -- **Rapid range queries:** - Sorted data lets the system quickly locate the start and end of data files, which speeds - up range queries. ### Data partitioning and sequential reads - **Partitioning by time:** - Data partitions by timestamp with hourly, daily, weekly, monthly, or yearly resolution. + Data [partitions by timestamp](/docs/concept/partitions/) with hourly, daily, weekly, monthly, or yearly resolution. + + + - **Partition pruning:** The design lets the engine skip partitions that fall outside query filters. Combined with incremental timestamp sorting, this reduces latency. -- **Enhanced compression:** - Chronologically sorted data compresses better when ZFS compression is enabled, which - further improves disk I/O. - **Lifecycle policies:** The system can delete partitions manually or automatically via TTL. It also supports @@ -165,22 +280,45 @@ QuestDB is comprised of several key components: ### In-memory processing - **Caching:** - The engine caches recent and frequently accessed data in memory, reducing disk reads. + The engine uses the OS cache to access recent and frequently accessed data in memory, reducing + disk reads. - **Off-heap buffers:** Off-heap memory, managed via memory mapping and direct allocation, avoids garbage collection overhead. -- **Optimized algorithms:** - Core query operators work on data vectors and use CPU-level optimizations such as SIMD. +- **Optimized in-memory handling:** + Apart from using CPU-level optimizations such as SIMD, QuestDB uses specialized hash tables (all of them with open addressing and linear probing), and implements algorithms for reducing the memory + footprint of many operations. Specialized data types, like `Symbol`, `VARCHAR`, or `UUID`, are + designed to use minimal disk and memory. + + ```text + Internal Representation of the VARCHAR data type + +Varchar header (column file): ++------------+-------------------+-------------------+ +| 32 bits | 48 bits | 48 bits | +| len + flags| prefix | offset | ++------------+-------------------+-------------------+ + │ ++------------------------------------+ points to +│ +▼ +Varchar data (column file): ++---+---+---+---+---+---+---+---+---+---+---+ +| H | e | l | l | o | | w | o | r | l | d | ++---+---+---+---+---+---+---+---+---+---+---+ + +``` ## Data ingestion & write path ### Bulk ingestion - **CSV ingestion:** - QuestDB offers a CSV ingestion endpoint via the REST API and web console. A specialized COPY - command uses io_uring on fast drives to speed up ingestion. + QuestDB offers a CSV ingestion endpoint via the [REST API](/docs/reference/api/rest/) and web console. + A specialized COPY command uses [io_uring](/blog/2022/09/12/importing-300k-rows-with-io-uring) on + fast drives to speed up ingestion. ### Real-time streaming @@ -188,74 +326,145 @@ QuestDB is comprised of several key components: The streaming ingestion path handles millions of rows per second with non-blocking I/O. - **Durability:** - The system writes data to a row-based write-ahead log (WAL) and then converts it into column- - based files for efficient reads. + As seen above, the system writes data to a row-based write-ahead log (WAL) and then converts it + into column-based files for efficient reads. At the expense of performance, `sync` mode can be + enabled on commit for extra durability. - **Concurrent writes:** Multiple connections writing to the same table create parallel WAL files that the engine later consolidates into columnar storage. -### ILP protocol support +```text + +Contents of the `db` folder, showing multiple pending WAL files, and the binary columnar data. + +├── db +│ ├── Table +│ │ │ +│ │ ├── Partition 1 +│ │ │ ├── _archive +│ │ │ ├── column1.d +│ │ │ ├── column2.d +│ │ │ ├── column2.k +│ │ │ └── ... +│ │ ├── Partition 2 +│ │ │ ├── _archive +│ │ │ ├── column1.d +│ │ │ ├── column2.d +│ │ │ ├── column2.k +│ │ │ └── ... +│ │ ├── txn_seq +│ │ │ ├── _meta +│ │ │ ├── _txnlog +│ │ │ └── _wal_index.d +│ │ ├── wal1 +│ │ │ └── 0 +│ │ │ ├── _meta +│ │ │ ├── _event +│ │ │ ├── column1.d +│ │ │ ├── column2.d +│ │ │ └── ... +│ │ ├── wal2 +│ │ │ └── 0 +│ │ │ │ ├── _meta +│ │ │ │ ├── _event +│ │ │ │ ├── column1.d +│ │ │ │ ├── column2.d +│ │ │ │ └── ... +│ │ │ └── 1 +│ │ │ ├── _meta +│ │ │ ├── _event +│ │ │ ├── column1.d +│ │ │ ├── column2.d +│ │ │ └── ... +│ │ │ +│ │ ├── _meta +│ │ ├── _txn +│ │ └── _cv + +``` + +### Ingestion via ILP protocol - **Native ILP integration:** - QuestDB supports the Influx Line Protocol (ILP) for high-speed data ingestion. + QuestDB supports the [Influx Line Protocol](docs/reference/api/ilp/overview/) + (ILP) for high-speed data ingestion. + +- **Extensions to ILP:** + QuestDB extends ILP to support different timestamp units and the array data type. - **Minimal parsing overhead:** The ILP parser quickly maps incoming data to internal structures. - **Parallel ingestion:** - The ILP path uses off-heap buffers and direct memory management to bypass JVM heap - allocation. + The ILP path uses off-heap buffers and direct memory management to bypass JVM heap allocation. - **Protocol versatility:** - In addition to ILP, QuestDB supports REST and PostgreSQL wire protocols. + In addition to ILP, QuestDB also supports ingestion via [REST](/docs/reference/sql/overview/#rest-http-api) + and [PostgreSQL wire](/docs/reference/sql/overview/#postgresql) protocols. + +## Replication + +- **Read replicas:** QuestDB uses object storage (via NFS, S3, Azure Blob Storage, or GCS) +and read replicas. Both local, cross-zonal, and cross-regional replication patterns are +supported. The architecture is described at the [replication concepts](/docs/concept/replication/) +page. + +- **Write replicas:** QuestDB allows [multi-primary ingestion](/docs/operations/multi-primary-ingestion/), which allows both increasing the write throughput, and enabling +high availabilty. A [distributed sequencer](/docs/operations/multi-primary-ingestion/#distributed-sequencer-with-foundationdb) makes sure transactions are conflict-free, and +tracks status of the cluster to enable instance discovery and automatic failover. ## Observability & diagnostics - **Metrics:** - QuestDB exposes detailed metrics in Prometheus format, including query statistics, memory - usage, and I/O details. + QuestDB exposes detailed [metrics in Prometheus format](/docs/operations/logging-metrics/#metrics), including query + statistics, memory usage, and I/O details. - **Health check:** - A minimal HTTP server monitors system health. + A [minimal HTTP server](/docs/operations/logging-metrics/#minimal-http-server) monitors system health. - **Metadata tables:** - The engine provides metadata tables to query table status, partition status, query execution, - and latency. + The engine provides [metadata tables](/docs/reference/function/meta/) to query + table status, partition status, query execution, and latency. - **Extensive logging:** - Logging covers SQL parsing, execution, background processing, and runtime exceptions. The - framework minimizes performance impact. + [Logging](/docs/operations/logging-metrics/) covers SQL parsing, execution, background processing, and runtime exceptions. The framework minimizes performance impact. - **Real-time metric dashboards:** The web console lets you create dashboards that display per-table metrics. -## Design patterns & best practices + + +## Design patterns & best practices throughout the code base - **Immutable data structures:** The system favors immutability to avoid concurrency issues and simplify state management. - **Modular architecture:** - Each component (storage, query processing, ingestion, etc.) has well-defined interfaces - that enhance maintainability. + Each component (storage, query processing, ingestion, etc.) has well-defined interfaces that enhance maintainability. - **Factory & builder patterns:** - The engine uses these patterns to centralize construction logic for complex objects like SQL - execution plans and storage buffers. + The engine uses these patterns to centralize construction logic for complex objects like SQL execution plans and storage buffers. - **Lazy initialization:** Resource-intensive components initialize only when needed to reduce startup overhead. - **Rigorous testing & benchmarks:** - Unit tests, integration tests, and performance benchmarks ensure that new enhancements do - not compromise reliability or speed. + [Unit tests, integration tests](https://github.com/questdb/questdb/tree/master/core/src/test), + and performance benchmarks ensure that new enhancements do not compromise + reliability or speed. ## Security - **Built-in admin and read-only users:** - QuestDB includes built-in admin and read-only users for the pgwire protocol and HTTP - endpoints using HTTP Basic Auth. + QuestDB includes built-in admin and read-only users for the pgwire protocol and HTTP endpoints using HTTP Basic Auth. - **HTTP basic authentication:** You can enable HTTP Basic Authentication for the HTTP API, web console, and pgwire @@ -269,9 +478,17 @@ QuestDB is comprised of several key components: QuestDB Enterprise supports TLS on all protocols and endpoints. - **Role-based access control:** - Enterprise users can create user groups and assign service accounts and users. Grants can be - configured individually or at the group level with fine granularity, including column-level - access. + Enterprise users can create user groups and assign service accounts and users. + Grants [can be configured](/docs/operations/rbac/) individually or at the + group level with fine granularity, including column-level access. + + + - **Single sign-on:** QuestDB Enterprise supports SSO via OIDC with Active Directory, EntraID, or OAuth2. diff --git a/documentation/operations/rbac.md b/documentation/operations/rbac.md index c3bd4d6b2..d566c223e 100644 --- a/documentation/operations/rbac.md +++ b/documentation/operations/rbac.md @@ -63,6 +63,8 @@ this ability. The below diagram is an example of a QuestDB access control system. 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a/documentation/guides/questdb-internals.md +++ b/documentation/guides/questdb-internals.md @@ -118,6 +118,16 @@ can handle and resolve out-of-order data writes, and enables deduplication. Colu when [ZFS compression](/docs/guides/compression-zfs/) is enabled. Parquet files generated by QuestDB use native compression. +### Data Deduplication + +When enabled, [data deduplication](https://questdb.com/docs/concept/deduplication/) works on all the data inserted into +the table and replaces matching rows with the new versions. Only new rows that do no match existing data will be inserted. + +Generally, if the data have mostly unique timestamps across all the rows, the performance impact of deduplication is low. +Conversely, the most demanding data pattern occurs when there are many rows with the same timestamp that need to be +deduplicated on additional columns. + + ## Memory management and native integration ### Memory-mapped files @@ -258,6 +268,7 @@ parsing incoming data, applying WAL file changes, handling PostgreSQL-Wire proto - **Partitioning by time:** Data [partitions by timestamp](/docs/concept/partitions/) with hourly, daily, weekly, monthly, or yearly resolution. + + - **Partition pruning:** The design lets the engine skip partitions that fall outside query filters. Combined with incremental timestamp sorting, this reduces latency. @@ -277,6 +289,19 @@ parsing incoming data, applying WAL file changes, handling PostgreSQL-Wire proto The system can delete partitions manually or automatically via TTL. It also supports detaching or attaching partitions using SQL commands. +### Materialized views + + - [Materialize views](https://questdb.com/docs/concept/mat-views/) are auto-refreshing tables storing the pre-computed results of a query. Unlike regular views, which + compute their results at query time, materialized views persist their data to disk, making them particularly efficient + for expensive aggregate queries that are run frequently. + + - QuestDB supports materialized views for `SAMPLE BY` queries, including those joining with other tables. + + - Materialized sampled intervals are automatically refreshed whenever the base table receivews new or updated rows. + + - Materialized views can be chained, with the output of one being the input of another one, and support TTLs for lifecycle management. + + ### In-memory processing - **Caching:** From a04ce315f145e74795d0cfa9db265cbf79a45dd3 Mon Sep 17 00:00:00 2001 From: javier Date: Thu, 8 May 2025 18:57:38 +0200 Subject: [PATCH 05/35] improved diagrams and new sections --- documentation/guides/questdb-internals.md | 140 +- .../questdb-internals/columnarStorage.svg | 287 ++++ .../guides/questdb-internals/questdbBasic.svg | 1040 +++++++++++++ .../guides/questdb-internals/walData.svg | 1289 +++++++++++++++++ .../guides/questdb-internals/web-console.webp | Bin 0 -> 81580 bytes 5 files changed, 2696 insertions(+), 60 deletions(-) create mode 100644 static/images/guides/questdb-internals/columnarStorage.svg create mode 100644 static/images/guides/questdb-internals/questdbBasic.svg create mode 100644 static/images/guides/questdb-internals/walData.svg create mode 100644 static/images/guides/questdb-internals/web-console.webp diff --git a/documentation/guides/questdb-internals.md b/documentation/guides/questdb-internals.md index 3e286f0a2..1450d395d 100644 --- a/documentation/guides/questdb-internals.md +++ b/documentation/guides/questdb-internals.md @@ -9,10 +9,10 @@ QuestDB offers high-speed ingestion and low-latency analytics on time-series dat @@ -46,11 +46,15 @@ QuestDB is comprised of several key components: QuestDB Enterprise supports horizontal scalability for reads with read replicas, and for writes with multi-primary. +- **[Security](#security):** + QuestDB provides real-time metrics, a health check endpoint, and logging to monitor + performance and simplify troubleshooting. + - **[Observability](#observability--diagnostics):** QuestDB provides real-time metrics, a health check endpoint, and logging to monitor performance and simplify troubleshooting. -- **[Web console](/docs/web-console/):** +- **[Web console](#web-console):** The engine includes a web console to run SQL statements, bulk load CSV files, and show monitoring dashboards. QuestDB Enterprise supports single sign-on (SSO) in the web console. @@ -71,14 +75,6 @@ concurrent data ingestion, modifications, and schema changes without locking the - **WAL Consistency**: QuestDB implements a component called "Sequencer", which ensures that data appears consistent to all readers, even during ongoing write operations. - - - **TableWriter**: Changes stored in the WAL, is stored in columnat format by the TableWriter, which can handle and resolve out-of-order data writes, and enables deduplication. Column files use an @@ -86,13 +82,24 @@ can handle and resolve out-of-order data writes, and enables deduplication. Colu + +### Data Deduplication + +When enabled, [data deduplication](https://questdb.com/docs/concept/deduplication/) works on all the data inserted into +the table and replaces matching rows with the new versions. Only new rows that do no match existing data will be inserted. + +Generally, if the data have mostly unique timestamps across all the rows, the performance impact of deduplication is low. +Conversely, the most demanding data pattern occurs when there are many rows with the same timestamp that need to be +deduplicated on additional columns. + + ### Column-oriented storage - **Data layout:** @@ -104,8 +111,8 @@ can handle and resolve out-of-order data writes, and enables deduplication. Colu alt="Architecture of the storage model with column files, readers/writers and the mapped memory" title="Architecture of the storage model with column files, readers/writers and the mapped memory" height={596} - src="images/docs/concepts/storageSummarized.svg" - width={745} + src="images/guides/questdb-internals/columnarStorage.svg" + width={400} /> @@ -118,16 +125,6 @@ can handle and resolve out-of-order data writes, and enables deduplication. Colu when [ZFS compression](/docs/guides/compression-zfs/) is enabled. Parquet files generated by QuestDB use native compression. -### Data Deduplication - -When enabled, [data deduplication](https://questdb.com/docs/concept/deduplication/) works on all the data inserted into -the table and replaces matching rows with the new versions. Only new rows that do no match existing data will be inserted. - -Generally, if the data have mostly unique timestamps across all the rows, the performance impact of deduplication is low. -Conversely, the most demanding data pattern occurs when there are many rows with the same timestamp that need to be -deduplicated on additional columns. - - ## Memory management and native integration ### Memory-mapped files @@ -361,7 +358,8 @@ Varchar data (column file): ```text -Contents of the `db` folder, showing multiple pending WAL files, and the binary columnar data. +Contents of the `db` folder, showing multiple pending WAL files, +and the binary columnar data. ├── db │ ├── Table @@ -439,6 +437,41 @@ page. high availabilty. A [distributed sequencer](/docs/operations/multi-primary-ingestion/#distributed-sequencer-with-foundationdb) makes sure transactions are conflict-free, and tracks status of the cluster to enable instance discovery and automatic failover. + + +## Security + +- **Built-in admin and read-only users:** + QuestDB includes built-in admin and read-only users for the pgwire protocol and HTTP endpoints using HTTP Basic Auth. + +- **HTTP basic authentication:** + You can enable HTTP Basic Authentication for the HTTP API, web console, and pgwire + protocol. Health-check and metrics endpoints can be configured independently. + +- **Token-based authentication:** + QuestDB Enterprise offers HTTP and JWT token authentication. QuestDB Open Source + supports token authentication for ILP over TCP. + +- **TLS on all protocols:** + QuestDB Enterprise supports TLS on all protocols and endpoints. + +- **Single sign-on:** + QuestDB Enterprise supports SSO via OIDC with Active Directory, EntraID, or OAuth2. + +- **Role-based access control:** + Enterprise users can create user groups and assign service accounts and users. + Grants [can be configured](/docs/operations/rbac/) individually or at the + group level with fine granularity, including column-level access. + + + + + ## Observability & diagnostics - **Metrics:** @@ -466,6 +499,25 @@ tracks status of the cluster to enable instance discovery and automatic failover width={745} /> +## Web Console + +The [QuestDB Web console](/docs/web-console/) is ideal for interactive exploration, and implements: + +- **SQL Editor** featuring tabs and SQL autocompletion. +- **Table and Materialized View** explorer. +- **CSV import** manager. +- **Single-sign-on**, when enabled for enterprise users. +- **Basic Auth**, when enabled for both OSS and Enterprise users. +- **Real-time metric dashboards**, to track transactions throughput, latency, and write amplification. + + + + ## Design patterns & best practices throughout the code base - **Immutable data structures:** @@ -486,38 +538,6 @@ tracks status of the cluster to enable instance discovery and automatic failover and performance benchmarks ensure that new enhancements do not compromise reliability or speed. -## Security - -- **Built-in admin and read-only users:** - QuestDB includes built-in admin and read-only users for the pgwire protocol and HTTP endpoints using HTTP Basic Auth. - -- **HTTP basic authentication:** - You can enable HTTP Basic Authentication for the HTTP API, web console, and pgwire - protocol. Health-check and metrics endpoints can be configured independently. - -- **Token-based authentication:** - QuestDB Enterprise offers HTTP and JWT token authentication. QuestDB Open Source - supports token authentication for ILP over TCP. - -- **TLS on all protocols:** - QuestDB Enterprise supports TLS on all protocols and endpoints. - -- **Role-based access control:** - Enterprise users can create user groups and assign service accounts and users. - Grants [can be configured](/docs/operations/rbac/) individually or at the - group level with fine granularity, including column-level access. - - - - -- **Single sign-on:** - QuestDB Enterprise supports SSO via OIDC with Active Directory, EntraID, or OAuth2. - ## Further reading & resources - [QuestDB GitHub Repository](https://github.com/questdb/questdb) diff --git a/static/images/guides/questdb-internals/columnarStorage.svg b/static/images/guides/questdb-internals/columnarStorage.svg new file mode 100644 index 000000000..1ba050613 --- /dev/null +++ b/static/images/guides/questdb-internals/columnarStorage.svg @@ -0,0 +1,287 @@ + +partition directory column data fileFixed-size typeFixed-size typeFixed-size type column data file column data file column offsets file diff --git a/static/images/guides/questdb-internals/questdbBasic.svg b/static/images/guides/questdb-internals/questdbBasic.svg new file mode 100644 index 000000000..691b208c3 --- /dev/null +++ b/static/images/guides/questdb-internals/questdbBasic.svg @@ -0,0 +1,1040 @@ + + + +Time-series streaming dataLow-latency query results diff --git a/static/images/guides/questdb-internals/walData.svg b/static/images/guides/questdb-internals/walData.svg new file mode 100644 index 000000000..8feca3cf6 --- /dev/null +++ b/static/images/guides/questdb-internals/walData.svg @@ -0,0 +1,1289 @@ + + + +Potentially out-of-order and/or duplicated dataConsistent and deduplicated table data WAL File 1WAL File 2WAL File 3WAL File 4Connection 1Connection 2Connection 3Connection 4TableWriter diff --git a/static/images/guides/questdb-internals/web-console.webp b/static/images/guides/questdb-internals/web-console.webp new file mode 100644 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zOGb$M!j!bfoQ~D+mIx65u|d}CX610o&d6?u^ir zl_6})P#CX(+xv+K53JIV1H8A&N#FzjPytR^;J)oSgV`Dx;SOM;KrDc;?7LQVXH?}P z)BxHaGi6X4z)V`<)%)ahn?%1o;iH?VJOHRc=3@K*48Oio?^Z}>tAe00lVaO&XctMK zR)}6jcbuKB9icUAoyApm4|*rW1*tT#$x5LyGwvw@^~94^+A3-*DgZAKNlc6hW_`h7 zKcS?jCgAn?lI+G>xNe$=TTzSIPf&bCop%4@qzjhm{Aj=F?K6cR_`02MMORaOfBs{iMy_W6nnluFA&n@2dYM`v0mbI~dsu*;su$b>#h@C-9%j j|1SJbMQ*x(e*3?j#eW?1zh=Krniqzf?!TWJFU Date: Thu, 8 May 2025 19:12:05 +0200 Subject: [PATCH 06/35] adding image description --- documentation/guides/questdb-internals.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/documentation/guides/questdb-internals.md b/documentation/guides/questdb-internals.md index 1450d395d..8a30ee613 100644 --- a/documentation/guides/questdb-internals.md +++ b/documentation/guides/questdb-internals.md @@ -109,7 +109,7 @@ deduplicated on additional columns. Date: Thu, 8 May 2025 21:43:37 +0200 Subject: [PATCH 07/35] broken link --- documentation/guides/questdb-internals.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/documentation/guides/questdb-internals.md b/documentation/guides/questdb-internals.md index 8a30ee613..184933391 100644 --- a/documentation/guides/questdb-internals.md +++ b/documentation/guides/questdb-internals.md @@ -410,7 +410,7 @@ and the binary columnar data. ### Ingestion via ILP protocol - **Native ILP integration:** - QuestDB supports the [Influx Line Protocol](docs/reference/api/ilp/overview/) + QuestDB supports the [Influx Line Protocol](/docs/reference/api/ilp/overview/) (ILP) for high-speed data ingestion. - **Extensions to ILP:** From f3a276e3b1d6f9d3472036f5574611b6cf82d369 Mon Sep 17 00:00:00 2001 From: javier Date: Thu, 8 May 2025 23:02:12 +0200 Subject: [PATCH 08/35] added networking section --- documentation/guides/questdb-internals.md | 57 +++++++++++++++++++++-- 1 file changed, 52 insertions(+), 5 deletions(-) diff --git a/documentation/guides/questdb-internals.md b/documentation/guides/questdb-internals.md index 184933391..707f60801 100644 --- a/documentation/guides/questdb-internals.md +++ b/documentation/guides/questdb-internals.md @@ -29,16 +29,20 @@ QuestDB is comprised of several key components: The system leverages both memory mapping and explicit memory management techniques, and integrates native code for performance-critical tasks. -- **[Query processor](#query-engine):** +- **[Query engine](#query-engine):** A custom SQL parser, a just-in-time (JIT) compiler, and a vectorized execution engine process data in table page frames for better CPU use. +- **[Time-series Optimizations](#time-series-optimizations):** + QuestDB is specifically designed for time-series, and it provides several optimizations, like a + designated timestamp, sequential reads, materialized-views, or in-memory processing. + - **[Data ingestion engine](#data-ingestion--write-path):** The engine supports bulk and streaming ingestion. It writes data to a row-based write-ahead log (WAL) and then converts it into a columnar format. In QuestDB Enterprise, the WAL segments ship to object storage for replication. -- **[Networking layer](#ilp-protocol-support):** +- **[Networking layer](#networking-layer):** The system exposes RESTful APIs and implements ILP and PostgreSQL wire protocols so that existing tools and drivers work out-of-the-box. It also offers a health and metrics endpoint. @@ -310,9 +314,13 @@ parsing incoming data, applying WAL file changes, handling PostgreSQL-Wire proto collection overhead. - **Optimized in-memory handling:** - Apart from using CPU-level optimizations such as SIMD, QuestDB uses specialized hash tables (all of them with open addressing and linear probing), and implements algorithms for reducing the memory - footprint of many operations. Specialized data types, like `Symbol`, `VARCHAR`, or `UUID`, are - designed to use minimal disk and memory. + Apart from using CPU-level optimizations such as SIMD, QuestDB uses specialized hash tables (all of them with open + addressing and linear probing), and implements algorithms for reducing the memory + footprint of many operations. + +- **Custom memory layout for different data types:** + Specialized data types, like `Symbol`, `VARCHAR`, or `UUID`, are designed to use minimal disk and memory. For example, + char sequences shorter than 9 bytes are fully inlined within our `VARCHAR` header and do not occupy any additional data space. ```text Internal Representation of the VARCHAR data type @@ -438,6 +446,45 @@ high availabilty. A [distributed sequencer](/docs/operations/multi-primary-inges tracks status of the cluster to enable instance discovery and automatic failover. +## Networking layer + +QuestDB exposes several network interfaces and protocols to allow different client applications to interact with the database + +### InfluxDB Line protocol (ILP) over HTTP or TCP + +The [Influx Line Protocol](/docs/reference/api/ilp/overview/) allows for very high throughput of incoming data. It supports +both HTTP (recommended) or TCP. QuestDB provides official clients in seven different programming languages, as well as +integrations with third-party tools like Apache Kafka, Apache Flink, or Telegraf. Any ILP-compatible library can be used +for ingesting data into QuestDB over HTTP. + +The default port number for ILP over HTTP is `9000`, and for ILP over TCP is `9009`. + +### PostgreSQL wire protocol + +QuestDB exposes a [PostgreSQL wire](/docs/reference/sql/overview/#postgresql) protocol, which can be used to send SQL +statements both for data definition or for data manipulation. When used for data ingestion, throughput is noticeably +lower than using the ILP protocol. + +QuestDB implements the wire protocol, allowing many third-party libraries to query QuestDB directly. Some client libraries +might be incompatible if they rely heavily on PostgreSQL metadata, as QuestDB implements only a subset of it. For an +overview of some key differences on QuestDB schema design, please visit our +[Schema Design Essentials](/docs/guides/schema-design-essentials/) guide. + +The default port number for the pg-wire interface is `8812`. + +### HTTP Rest API + +QuestDB [REST API](/docs/reference/sql/overview/#rest-http-api) can be used to issue SQL statements over HTTP. It also +exposes and endpoint for importing CSV files, and for exporting tables and query results. + +The default port number for the REST API is `9000`. + +### Minimal HTTP server for health-check and metrics + +QuestDB exposes an HTTP interface for monitoring. Please see the [Observability](#observability--diagnostics) section +for more information. + +The default port number for the minimal HTTP server is `9003`. ## Security From ea7444a5a1b295e712e16f01d7697ffc0919a6e2 Mon Sep 17 00:00:00 2001 From: javier Date: Thu, 8 May 2025 23:29:01 +0200 Subject: [PATCH 09/35] added network diagram --- documentation/guides/questdb-internals.md | 10 +- .../questdb_network_protocols.svg | 530 ++++++++++++++++++ 2 files changed, 537 insertions(+), 3 deletions(-) create mode 100644 static/images/guides/questdb-internals/questdb_network_protocols.svg diff --git a/documentation/guides/questdb-internals.md b/documentation/guides/questdb-internals.md index 707f60801..8acfb3177 100644 --- a/documentation/guides/questdb-internals.md +++ b/documentation/guides/questdb-internals.md @@ -84,7 +84,6 @@ appears consistent to all readers, even during ongoing write operations. can handle and resolve out-of-order data writes, and enables deduplication. Column files use an [append model](/docs/concept/storage-model/). - + ### InfluxDB Line protocol (ILP) over HTTP or TCP The [Influx Line Protocol](/docs/reference/api/ilp/overview/) allows for very high throughput of incoming data. It supports diff --git a/static/images/guides/questdb-internals/questdb_network_protocols.svg b/static/images/guides/questdb-internals/questdb_network_protocols.svg new file mode 100644 index 000000000..dadacd541 --- /dev/null +++ b/static/images/guides/questdb-internals/questdb_network_protocols.svg @@ -0,0 +1,530 @@ + + + + + + + + + + + cluster_clients + + Client Applications + + + cluster_interfaces + + Network Interfaces + + + cluster_core + + QuestDB Core + + + ILPClients + + InfluxDB LineProtocol Clients + + + + ILP + + InfluxDB LineProtocol + + + ILPClients->ILP + + + + + ILPClients->ILP + + + + + PGClients + + PostgreSQL Clients + + + PG + + PostgreSQL WireProtocol + + + PGClients->PG + + + + + PGClients->PG + + + + + HTTPClients + + HTTP Clients + + + HTTP + + HTTP RESTAPI + + + HTTPClients->HTTP + + + + + HTTPClients->HTTP + + + + + Writers + + TableWriter / WAL System + + + ILP->Writers + + + + + CairoEngine + + CairoEngine + + + PG->CairoEngine + + + + + HTTP->CairoEngine + + + + + CairoEngine->Writers + + + + + Readers + + TableReader + + + CairoEngine->Readers + + + + From 28e9a48651609400121fcaf63c59f95f1277b1b5 Mon Sep 17 00:00:00 2001 From: javier Date: Fri, 9 May 2025 12:46:52 +0200 Subject: [PATCH 10/35] testing netlify preview --- docusaurus.config.js | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docusaurus.config.js b/docusaurus.config.js index 1d8900e8f..6dd4d1d0f 100644 --- a/docusaurus.config.js +++ b/docusaurus.config.js @@ -13,7 +13,7 @@ const config = { title: "QuestDB", tagline: "QuestDB is the fastest open source time series database", url: `https://${customFields.domain}`, - baseUrl: isPreviews ? '/' : '/docs/', + baseUrl: isPreviews ? '/docs/' : '/docs/', baseUrlIssueBanner: false, favicon: "/images/favicon.webp", organizationName: "QuestDB", From b343e9afe1019057f3af736f90a59824f7fc1f62 Mon Sep 17 00:00:00 2001 From: javier Date: Fri, 9 May 2025 12:58:06 +0200 Subject: [PATCH 11/35] testing netlify preview. adding trace --- docusaurus.config.js | 3 +++ 1 file changed, 3 insertions(+) diff --git a/docusaurus.config.js b/docusaurus.config.js index 6dd4d1d0f..59ed3972a 100644 --- a/docusaurus.config.js +++ b/docusaurus.config.js @@ -169,3 +169,6 @@ module.exports = { ...config, ssrTemplate: ssrTemplate(config), } + +console.log("isPreviews", isPreviews); +console.log("baseUrl", config.baseUrl); From 4d4bd2bb453aab516a0923340745c6e57b87dbd8 Mon Sep 17 00:00:00 2001 From: javier Date: Fri, 9 May 2025 13:16:01 +0200 Subject: [PATCH 12/35] testing preview workflow --- .github/workflows/preview.yml | 3 +++ 1 file changed, 3 insertions(+) diff --git a/.github/workflows/preview.yml b/.github/workflows/preview.yml index 0ecb1f135..344f63735 100644 --- a/.github/workflows/preview.yml +++ b/.github/workflows/preview.yml @@ -40,6 +40,9 @@ jobs: - name: Deploy to Netlify uses: jsmrcaga/action-netlify-deploy@v2.0.0 + env: + NETLIFY: true + CONTEXT: deploy-preview with: NETLIFY_AUTH_TOKEN: ${{ secrets.NETLIFY_AUTH_TOKEN }} NETLIFY_SITE_ID: ${{ secrets.NETLIFY_SITE_ID }} From c7439c75ade4308f5c0cbd9f3eff15297ace20b6 Mon Sep 17 00:00:00 2001 From: javier Date: Fri, 9 May 2025 13:24:11 +0200 Subject: [PATCH 13/35] testing preview workflow --- .github/workflows/preview.yml | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/.github/workflows/preview.yml b/.github/workflows/preview.yml index 344f63735..47b81df5c 100644 --- a/.github/workflows/preview.yml +++ b/.github/workflows/preview.yml @@ -43,13 +43,13 @@ jobs: env: NETLIFY: true CONTEXT: deploy-preview - with: - NETLIFY_AUTH_TOKEN: ${{ secrets.NETLIFY_AUTH_TOKEN }} - NETLIFY_SITE_ID: ${{ secrets.NETLIFY_SITE_ID }} - build_directory: build - install_command: "echo Skipping installing the dependencies" - build_command: "echo Skipping building the web files" - deploy_alias: preview-${{ github.event.pull_request.number }} + run: | + npm install -g netlify-cli + netlify deploy \ + --auth ${{ secrets.NETLIFY_AUTH_TOKEN }} \ + --site ${{ secrets.NETLIFY_SITE_ID }} \ + --dir build \ + --alias preview-${{ github.event.pull_request.number }} - name: "Update PR" if: ${{ env.NETLIFY_PREVIEW_URL }} From 4f80ddd8a52df666443fc53ac9e18b40a00b652a Mon Sep 17 00:00:00 2001 From: javier Date: Fri, 9 May 2025 13:30:50 +0200 Subject: [PATCH 14/35] testing preview workflow --- .github/workflows/preview.yml | 1 - 1 file changed, 1 deletion(-) diff --git a/.github/workflows/preview.yml b/.github/workflows/preview.yml index 47b81df5c..12f6a489c 100644 --- a/.github/workflows/preview.yml +++ b/.github/workflows/preview.yml @@ -39,7 +39,6 @@ jobs: run: yarn build - name: Deploy to Netlify - uses: jsmrcaga/action-netlify-deploy@v2.0.0 env: NETLIFY: true CONTEXT: deploy-preview From 7e280d2e46c9671fcebf148450018d1abb7e136c Mon Sep 17 00:00:00 2001 From: javier Date: Fri, 9 May 2025 13:37:05 +0200 Subject: [PATCH 15/35] testing preview workflow --- docusaurus.config.js | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docusaurus.config.js b/docusaurus.config.js index 59ed3972a..0cf93a5ab 100644 --- a/docusaurus.config.js +++ b/docusaurus.config.js @@ -13,7 +13,7 @@ const config = { title: "QuestDB", tagline: "QuestDB is the fastest open source time series database", url: `https://${customFields.domain}`, - baseUrl: isPreviews ? '/docs/' : '/docs/', + baseUrl: isPreviews ? '/' : '/docs/', baseUrlIssueBanner: false, favicon: "/images/favicon.webp", organizationName: "QuestDB", From 66e68b330a0622947381df4b8a6a5cc323b34157 Mon Sep 17 00:00:00 2001 From: javier Date: Fri, 9 May 2025 13:49:41 +0200 Subject: [PATCH 16/35] Sync docusaurus config and preview workflow with main --- .github/workflows/preview.yml | 18 ++++++++---------- docusaurus.config.js | 3 --- 2 files changed, 8 insertions(+), 13 deletions(-) diff --git a/.github/workflows/preview.yml b/.github/workflows/preview.yml index 12f6a489c..0ecb1f135 100644 --- a/.github/workflows/preview.yml +++ b/.github/workflows/preview.yml @@ -39,16 +39,14 @@ jobs: run: yarn build - name: Deploy to Netlify - env: - NETLIFY: true - CONTEXT: deploy-preview - run: | - npm install -g netlify-cli - netlify deploy \ - --auth ${{ secrets.NETLIFY_AUTH_TOKEN }} \ - --site ${{ secrets.NETLIFY_SITE_ID }} \ - --dir build \ - --alias preview-${{ github.event.pull_request.number }} + uses: jsmrcaga/action-netlify-deploy@v2.0.0 + with: + NETLIFY_AUTH_TOKEN: ${{ secrets.NETLIFY_AUTH_TOKEN }} + NETLIFY_SITE_ID: ${{ secrets.NETLIFY_SITE_ID }} + build_directory: build + install_command: "echo Skipping installing the dependencies" + build_command: "echo Skipping building the web files" + deploy_alias: preview-${{ github.event.pull_request.number }} - name: "Update PR" if: ${{ env.NETLIFY_PREVIEW_URL }} diff --git a/docusaurus.config.js b/docusaurus.config.js index 0cf93a5ab..1d8900e8f 100644 --- a/docusaurus.config.js +++ b/docusaurus.config.js @@ -169,6 +169,3 @@ module.exports = { ...config, ssrTemplate: ssrTemplate(config), } - -console.log("isPreviews", isPreviews); -console.log("baseUrl", config.baseUrl); From 4e9a7c9da7f6bb16aa1caada952aa5f1761ba7d5 Mon Sep 17 00:00:00 2001 From: javier Date: Tue, 13 May 2025 11:11:12 +0200 Subject: [PATCH 17/35] refreshing some charts --- documentation/guides/questdb-internals.md | 8 +- .../questdb-high-level-architecture.svg | 2 +- .../guides/questdb-internals/questdbBasic.svg | 1040 ------------- .../guides/questdb-internals/walData.svg | 1290 +---------------- 4 files changed, 5 insertions(+), 2335 deletions(-) delete mode 100644 static/images/guides/questdb-internals/questdbBasic.svg diff --git a/documentation/guides/questdb-internals.md b/documentation/guides/questdb-internals.md index 8acfb3177..26b538f34 100644 --- a/documentation/guides/questdb-internals.md +++ b/documentation/guides/questdb-internals.md @@ -11,9 +11,8 @@ QuestDB offers high-speed ingestion and low-latency analytics on time-series dat This document explains QuestDB's internal architecture. @@ -87,9 +86,8 @@ can handle and resolve out-of-order data writes, and enables deduplication. Colu diff --git a/static/images/guides/questdb-internals/questdb-high-level-architecture.svg b/static/images/guides/questdb-internals/questdb-high-level-architecture.svg index 62a8ab857..324144ea6 100644 --- a/static/images/guides/questdb-internals/questdb-high-level-architecture.svg +++ b/static/images/guides/questdb-internals/questdb-high-level-architecture.svg @@ -1 +1 @@ - \ No newline at end of file + \ No newline at end of file diff --git a/static/images/guides/questdb-internals/questdbBasic.svg b/static/images/guides/questdb-internals/questdbBasic.svg deleted file mode 100644 index 691b208c3..000000000 --- a/static/images/guides/questdb-internals/questdbBasic.svg +++ /dev/null @@ -1,1040 +0,0 @@ - - - -Time-series streaming dataLow-latency query results diff --git a/static/images/guides/questdb-internals/walData.svg b/static/images/guides/questdb-internals/walData.svg index 8feca3cf6..0520abe63 100644 --- a/static/images/guides/questdb-internals/walData.svg +++ b/static/images/guides/questdb-internals/walData.svg @@ -1,1289 +1 @@ - - - -Potentially out-of-order and/or duplicated dataConsistent and deduplicated table data WAL File 1WAL File 2WAL File 3WAL File 4Connection 1Connection 2Connection 3Connection 4TableWriter + \ No newline at end of file From 98799750aa01153e97be44c600b9b1862d540c9a Mon Sep 17 00:00:00 2001 From: javier Date: Tue, 13 May 2025 14:13:03 +0200 Subject: [PATCH 18/35] added new images --- documentation/guides/questdb-internals.md | 45 +- .../guides/questdb-internals/columnRead.svg | 1 + .../questdb-internals/columnarStorage.svg | 288 +-------- .../questdb-internals/interval_scan.svg | 596 ++++++++++++++++++ .../multiThreadedExecution.svg | 1 + .../questdb-internals/partitionModel.svg | 181 ++++++ .../questdb-high-level-architecture.svg | 2 +- .../questdb_network_protocols.svg | 531 +--------------- .../guides/questdb-internals/walData.svg | 2 +- .../guides/questdb-internals/web-console.webp | Bin 81580 -> 69086 bytes 10 files changed, 797 insertions(+), 850 deletions(-) create mode 100644 static/images/guides/questdb-internals/columnRead.svg create mode 100644 static/images/guides/questdb-internals/interval_scan.svg create mode 100644 static/images/guides/questdb-internals/multiThreadedExecution.svg create mode 100644 static/images/guides/questdb-internals/partitionModel.svg diff --git a/documentation/guides/questdb-internals.md b/documentation/guides/questdb-internals.md index 26b538f34..5bc93e4e7 100644 --- a/documentation/guides/questdb-internals.md +++ b/documentation/guides/questdb-internals.md @@ -110,9 +110,8 @@ deduplicated on additional columns. @@ -180,9 +179,8 @@ deduplicated on additional columns. ### Execution model @@ -208,17 +206,12 @@ deduplicated on additional columns. multi-core fashion. Some queries, for example those involving an index, are executed on a single thread. Other queries, like those involving `GROUP BY` and `SAMPLE BY`, execute a pipeline with some single-threaded stages and some multi-threaded stages to avoid slow downs when groups are unbalanced. -

+ - **Worker pools:** QuestDB allows to configure different pools for specialized functions, like parsing incoming data, applying WAL file changes, handling PostgreSQL-Wire protocol, or responding to HTTP connections. By default, most tasks are handled by a shared worker pool. @@ -249,9 +242,8 @@ parsing incoming data, applying WAL file changes, handling PostgreSQL-Wire proto - **Out-of-order data:** @@ -269,9 +261,8 @@ parsing incoming data, applying WAL file changes, handling PostgreSQL-Wire proto @@ -512,14 +503,6 @@ The default port number for the minimal HTTP server is `9003`. Grants [can be configured](/docs/operations/rbac/) individually or at the group level with fine granularity, including column-level access. - - - ## Observability & diagnostics @@ -563,7 +546,7 @@ The [QuestDB Web console](/docs/web-console/) is ideal for interactive explorati alt="The QuestDB Console" title="The QuestDB Web Console" src="images/guides/questdb-internals/web-console.webp" - width={745} + width={1000} /> diff --git a/static/images/guides/questdb-internals/columnRead.svg b/static/images/guides/questdb-internals/columnRead.svg new file mode 100644 index 000000000..ab5ba3ea2 --- /dev/null +++ b/static/images/guides/questdb-internals/columnRead.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/static/images/guides/questdb-internals/columnarStorage.svg b/static/images/guides/questdb-internals/columnarStorage.svg index 1ba050613..bbe3ee17f 100644 --- a/static/images/guides/questdb-internals/columnarStorage.svg +++ b/static/images/guides/questdb-internals/columnarStorage.svg @@ -1,287 +1 @@ - -partition directory column data fileFixed-size typeFixed-size typeFixed-size type column data file column data file column offsets file + \ No newline at end of file diff --git a/static/images/guides/questdb-internals/interval_scan.svg b/static/images/guides/questdb-internals/interval_scan.svg new file mode 100644 index 000000000..8bf806142 --- /dev/null +++ b/static/images/guides/questdb-internals/interval_scan.svg @@ -0,0 +1,596 @@ + + + + + + + + + + + + + + + + + + Interval forward scan + + + + + + + + Interval forward scan + + + + + + + + + + + + + + + + Table + + + + + Table + + + + + + + + + + + designated timestamp + + + + + designated timestamp + + + + + + + + + + + + Partition + + + + + Partition + + + + + + + + + Interval + + + + Interval + + + + + + + + + + Partition + + + + + Partition + + + + + + + + + + + Interval + + + + Interval + + + + + + + + + Interval + + + + Interval + + + + + + + + + + + + + Interval backward scan + + + + + + + Interval backward scan + + + + + + + Text is not SVG - cannot display + + + diff --git a/static/images/guides/questdb-internals/multiThreadedExecution.svg b/static/images/guides/questdb-internals/multiThreadedExecution.svg new file mode 100644 index 000000000..7457190ad --- /dev/null +++ b/static/images/guides/questdb-internals/multiThreadedExecution.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/static/images/guides/questdb-internals/partitionModel.svg b/static/images/guides/questdb-internals/partitionModel.svg new file mode 100644 index 000000000..5cdbf5ef0 --- /dev/null +++ b/static/images/guides/questdb-internals/partitionModel.svg @@ -0,0 +1,181 @@ + +table directorycolumn filesTimecolumn filescolumn filesData fileTime partitionTime partitionTime partition diff --git a/static/images/guides/questdb-internals/questdb-high-level-architecture.svg b/static/images/guides/questdb-internals/questdb-high-level-architecture.svg index 324144ea6..92da02dda 100644 --- a/static/images/guides/questdb-internals/questdb-high-level-architecture.svg +++ b/static/images/guides/questdb-internals/questdb-high-level-architecture.svg @@ -1 +1 @@ - \ No newline at end of file + \ No newline at end of file diff --git a/static/images/guides/questdb-internals/questdb_network_protocols.svg b/static/images/guides/questdb-internals/questdb_network_protocols.svg index dadacd541..0c97e508f 100644 --- a/static/images/guides/questdb-internals/questdb_network_protocols.svg +++ b/static/images/guides/questdb-internals/questdb_network_protocols.svg @@ -1,530 +1 @@ - - - - - - - - - - - cluster_clients - - Client Applications - - - cluster_interfaces - - Network Interfaces - - - cluster_core - - QuestDB Core - - - ILPClients - - InfluxDB LineProtocol Clients - - - - ILP - - InfluxDB LineProtocol - - - ILPClients->ILP - - - - - ILPClients->ILP - - - - - PGClients - - PostgreSQL Clients - - - PG - - PostgreSQL WireProtocol - - - 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intervals. However, it's important to note that **Interval Scan** does not apply to the results of sub-queries, as the data returned from a sub-query is not guaranteed to be in timestamp order. - - Date: Tue, 13 May 2025 16:44:03 +0200 Subject: [PATCH 20/35] replacing heavy svg with webp image --- documentation/guides/questdb-internals.md | 2 +- .../questdb_network_protocols.svg | 1 - .../questdb_network_protocols.webp | Bin 0 -> 41680 bytes 3 files changed, 1 insertion(+), 2 deletions(-) delete mode 100644 static/images/guides/questdb-internals/questdb_network_protocols.svg create mode 100644 static/images/guides/questdb-internals/questdb_network_protocols.webp diff --git a/documentation/guides/questdb-internals.md b/documentation/guides/questdb-internals.md index 5bc93e4e7..7740aefd7 100644 --- a/documentation/guides/questdb-internals.md +++ b/documentation/guides/questdb-internals.md @@ -439,7 +439,7 @@ QuestDB exposes several network interfaces and protocols to allow different clie diff --git 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QuestDB Architecture +slug: questdb-architecture description: A deep technical dive into the internal architecture, storage engine, query processing, and native integrations of QuestDB. --- diff --git a/documentation/sidebars.js b/documentation/sidebars.js index efb6cb1fa..451c2147e 100644 --- a/documentation/sidebars.js +++ b/documentation/sidebars.js @@ -459,6 +459,7 @@ module.exports = { "guides/import-csv", "guides/mat-views", "guides/modifying-data", + "guides/questdb-architecture", "guides/replication-tuning", "guides/working-with-timestamps-timezones", "web-console", From 3765eda4b310ce19710c625ec9dc0314dae89eae Mon Sep 17 00:00:00 2001 From: javier Date: Wed, 14 May 2025 17:07:36 +0200 Subject: [PATCH 22/35] revamping images --- .../guides/questdb-internals/columnRead.svg | 2 +- .../multiThreadedExecution.svg | 2 +- .../questdb-high-level-architecture.svg | 2 +- .../questdb_network_protocols.webp | Bin 41680 -> 34242 bytes .../guides/questdb-internals/walData.svg | 2 +- 5 files 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1e91fba58..6c131f702 100644 --- a/static/images/guides/questdb-internals/walData.svg +++ b/static/images/guides/questdb-internals/walData.svg @@ -1 +1 @@ - \ No newline at end of file + \ No newline at end of file From acf512a664941da36bf9d612003f85bddd8fe48e Mon Sep 17 00:00:00 2001 From: javier Date: Wed, 14 May 2025 17:27:37 +0200 Subject: [PATCH 23/35] walData.svg image changed for better flow --- static/images/guides/questdb-internals/walData.svg | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/static/images/guides/questdb-internals/walData.svg b/static/images/guides/questdb-internals/walData.svg index 6c131f702..07752db6c 100644 --- a/static/images/guides/questdb-internals/walData.svg +++ b/static/images/guides/questdb-internals/walData.svg @@ -1 +1 @@ - \ No newline at end of file + \ No newline at end of file From 14a8a51ba7d9967cccdf4d0f7f7d249277f2ed62 Mon Sep 17 00:00:00 2001 From: javier Date: Wed, 14 May 2025 17:34:09 +0200 Subject: [PATCH 24/35] bigger 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- static/images/docs/concepts/columnRead.svg | 1 - static/images/docs/concepts/columnRead.webp | Bin 0 -> 18598 bytes .../images/docs/concepts/partitionModel.svg | 1 - .../images/docs/concepts/partitionModel.webp | Bin 0 -> 24888 bytes .../docs/concepts/storageSummarized.svg | 1 - .../images/docs/concepts/storageSummary.webp | Bin 0 -> 34024 bytes .../guides/questdb-internals/columnRead.svg | 1 - .../guides/questdb-internals/columnRead.webp | Bin 0 -> 18598 bytes .../questdb-internals/columnarStorage.svg | 1 - .../questdb-internals/columnarStorage.webp | Bin 0 -> 30224 bytes .../questdb-internals/intervalScan.webp | Bin 0 -> 31634 bytes .../questdb-internals/interval_scan.svg | 596 ------------------ .../multiThreadedExecution.svg | 1 - .../questdb-internals/partitionModel.svg | 181 ------ .../questdb-internals/partitionModel.webp | Bin 0 -> 24888 bytes .../questdb_network_protocols.webp | Bin 34094 -> 0 bytes .../guides/questdb-internals/walData.svg | 1 - .../guides/questdb-internals/walData.webp | Bin 0 -> 40356 bytes .../guides/questdb-internals/web-console.webp | Bin 69086 -> 116528 bytes 25 files changed, 12 insertions(+), 821 deletions(-) create mode 100644 static/images/blog/2023-04-25/intervalScan.webp delete mode 100644 static/images/blog/2023-04-25/interval_scan.svg delete mode 100644 static/images/docs/concepts/columnRead.svg create mode 100644 static/images/docs/concepts/columnRead.webp delete mode 100644 static/images/docs/concepts/partitionModel.svg create mode 100644 static/images/docs/concepts/partitionModel.webp delete mode 100644 static/images/docs/concepts/storageSummarized.svg create mode 100644 static/images/docs/concepts/storageSummary.webp delete mode 100644 static/images/guides/questdb-internals/columnRead.svg create mode 100644 static/images/guides/questdb-internals/columnRead.webp delete mode 100644 static/images/guides/questdb-internals/columnarStorage.svg create mode 100644 static/images/guides/questdb-internals/columnarStorage.webp create mode 100644 static/images/guides/questdb-internals/intervalScan.webp delete mode 100644 static/images/guides/questdb-internals/interval_scan.svg delete mode 100644 static/images/guides/questdb-internals/multiThreadedExecution.svg delete mode 100644 static/images/guides/questdb-internals/partitionModel.svg create mode 100644 static/images/guides/questdb-internals/partitionModel.webp delete mode 100644 static/images/guides/questdb-internals/questdb_network_protocols.webp delete mode 100644 static/images/guides/questdb-internals/walData.svg create mode 100644 static/images/guides/questdb-internals/walData.webp diff --git a/documentation/concept/interval-scan.md b/documentation/concept/interval-scan.md index 0b559fb63..7be3aab45 100644 --- a/documentation/concept/interval-scan.md +++ b/documentation/concept/interval-scan.md @@ -42,7 +42,7 @@ returned from a sub-query is not guaranteed to be in timestamp order. diff --git a/documentation/concept/partitions.md b/documentation/concept/partitions.md index 252ad60a7..4662d4b00 100644 --- a/documentation/concept/partitions.md +++ b/documentation/concept/partitions.md @@ -18,8 +18,8 @@ import Screenshot from "@theme/Screenshot" diff --git a/documentation/concept/storage-model.md b/documentation/concept/storage-model.md index 2a2246b78..dce16a5ce 100644 --- a/documentation/concept/storage-model.md +++ b/documentation/concept/storage-model.md @@ -39,7 +39,7 @@ mapped memory page, where the required value is read from. @@ -95,12 +95,8 @@ Data committed by one process can be instantaneously read by another process, either randomly (via queries) or incrementally (as a data queue). QuestDB provides a variety of reader implementations. - diff --git a/documentation/guides/questdb-internals.md b/documentation/guides/questdb-internals.md index 4e57a881c..b323dc9b7 100644 --- a/documentation/guides/questdb-internals.md +++ b/documentation/guides/questdb-internals.md @@ -86,7 +86,7 @@ can handle and resolve out-of-order data writes, and enables deduplication. Colu @@ -110,8 +110,8 @@ deduplicated on additional columns. @@ -179,8 +179,8 @@ deduplicated on additional columns. ### Execution model @@ -192,9 +192,7 @@ deduplicated on additional columns. - **JIT compilation and Vectorized processing:** @@ -206,13 +204,6 @@ deduplicated on additional columns. multi-core fashion. Some queries, for example those involving an index, are executed on a single thread. Other queries, like those involving `GROUP BY` and `SAMPLE BY`, execute a pipeline with some single-threaded stages and some multi-threaded stages to avoid slow downs when groups are unbalanced. - - - **Worker pools:** QuestDB allows to configure different pools for specialized functions, like parsing incoming data, applying WAL file changes, handling PostgreSQL-Wire protocol, or responding to HTTP connections. By default, most tasks are handled by a shared worker pool. @@ -242,7 +233,7 @@ parsing incoming data, applying WAL file changes, handling PostgreSQL-Wire proto @@ -261,7 +252,7 @@ parsing incoming data, applying WAL file changes, handling PostgreSQL-Wire proto @@ -436,13 +427,6 @@ tracks status of the cluster to enable instance discovery and automatic failover QuestDB exposes several network interfaces and protocols to allow different client applications to interact with the database - - ### InfluxDB Line protocol (ILP) over HTTP or TCP The [Influx Line Protocol](/docs/reference/api/ilp/overview/) allows for very high throughput of incoming data. 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18598 -> 14512 bytes static/images/docs/concepts/columnUpdate.svg | 1 - static/images/docs/concepts/columnUpdate.webp | Bin 0 -> 17950 bytes .../guides/questdb-internals/columnRead.webp | Bin 18598 -> 14512 bytes 5 files changed, 1 insertion(+), 2 deletions(-) delete mode 100644 static/images/docs/concepts/columnUpdate.svg create mode 100644 static/images/docs/concepts/columnUpdate.webp diff --git a/documentation/concept/storage-model.md b/documentation/concept/storage-model.md index dce16a5ce..3b50b4529 100644 --- a/documentation/concept/storage-model.md +++ b/documentation/concept/storage-model.md @@ -25,7 +25,7 @@ import Screenshot from "@theme/Screenshot" diff --git a/static/images/docs/concepts/columnRead.webp b/static/images/docs/concepts/columnRead.webp index a758735cb567adaa3262b5d84fd8d685eecd197c..f0a3335e4756fe3fc88575bb9391e0b6c5644899 100644 GIT binary patch literal 14512 zcmb_?V{~O}*6xl~v2EK%#j4n5MHSn&ZQHhORa{9bsjy-j`{s1_>2vxUqrZE9-1TFR 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zUUsN{Ay*T`@;GX?Vgqvdc~uqU#K$Y{=S@}6gP#{kF(_!E5Rd8JJ0_!&feS4Fc;!l| M>$E@9`;XWE0^E=-5C8xG From bd14dea61db1b2bc312ba8d62e3223d2fd544237 Mon Sep 17 00:00:00 2001 From: javier Date: Tue, 27 May 2025 17:42:42 +0200 Subject: [PATCH 28/35] broked architecture page into subpages --- .../architecture/data-ingestion-engine.md | 106 ++++ .../guides/architecture/memory-management.md | 47 ++ .../guides/architecture/networking-layer.md | 53 ++ .../guides/architecture/observability.md | 40 ++ documentation/guides/architecture/overview.md | 89 +++ .../guides/architecture/query-engine.md | 77 +++ .../guides/architecture/replication-layer.md | 24 + documentation/guides/architecture/security.md | 36 ++ .../guides/architecture/storage-engine.md | 75 +++ .../architecture/time-series-optimizations.md | 114 ++++ .../guides/architecture/web-console.md | 31 + documentation/guides/questdb-internals.md | 559 ------------------ documentation/sidebars.js | 18 +- 13 files changed, 709 insertions(+), 560 deletions(-) create mode 100644 documentation/guides/architecture/data-ingestion-engine.md create mode 100644 documentation/guides/architecture/memory-management.md create mode 100644 documentation/guides/architecture/networking-layer.md create mode 100644 documentation/guides/architecture/observability.md create mode 100644 documentation/guides/architecture/overview.md create mode 100644 documentation/guides/architecture/query-engine.md create mode 100644 documentation/guides/architecture/replication-layer.md create mode 100644 documentation/guides/architecture/security.md create mode 100644 documentation/guides/architecture/storage-engine.md create mode 100644 documentation/guides/architecture/time-series-optimizations.md create mode 100644 documentation/guides/architecture/web-console.md delete mode 100644 documentation/guides/questdb-internals.md diff --git a/documentation/guides/architecture/data-ingestion-engine.md b/documentation/guides/architecture/data-ingestion-engine.md new file mode 100644 index 000000000..aafcd0d66 --- /dev/null +++ b/documentation/guides/architecture/data-ingestion-engine.md @@ -0,0 +1,106 @@ +--- +title: Data Ingestion Engine +slug: data-ingestion +description: The QuestDB Data Ingestion Engine supports bulk and streaming ingestion. It writes data to a row-based write-ahead log (WAL) and then converts it into a columnar format. In QuestDB Enterprise, the WAL segments ship to object storage for replication. +--- + + +## Data ingestion & write path + +### Bulk ingestion + +- **CSV ingestion:** + QuestDB offers a CSV ingestion endpoint via the [REST API](/docs/reference/api/rest/) and web console. + A specialized COPY command uses [io_uring](/blog/2022/09/12/importing-300k-rows-with-io-uring) on + fast drives to speed up ingestion. + +### Real-time streaming + +- **High-frequency writes:** + The streaming ingestion path handles millions of rows per second with non-blocking I/O. + +- **Durability:** + As seen above, the system writes data to a row-based write-ahead log (WAL) and then converts it + into column-based files for efficient reads. At the expense of performance, `sync` mode can be + enabled on commit for extra durability. + +- **Concurrent writes:** + Multiple connections writing to the same table create parallel WAL files that the engine + later consolidates into columnar storage. + +```text + +Contents of the `db` folder, showing multiple pending WAL files, +and the binary columnar data. + +├── db +│ ├── Table +│ │ │ +│ │ ├── Partition 1 +│ │ │ ├── _archive +│ │ │ ├── column1.d +│ │ │ ├── column2.d +│ │ │ ├── column2.k +│ │ │ └── ... +│ │ ├── Partition 2 +│ │ │ ├── _archive +│ │ │ ├── column1.d +│ │ │ ├── column2.d +│ │ │ ├── column2.k +│ │ │ └── ... +│ │ ├── txn_seq +│ │ │ ├── _meta +│ │ │ ├── _txnlog +│ │ │ └── _wal_index.d +│ │ ├── wal1 +│ │ │ └── 0 +│ │ │ ├── _meta +│ │ │ ├── _event +│ │ │ ├── column1.d +│ │ │ ├── column2.d +│ │ │ └── ... +│ │ ├── wal2 +│ │ │ └── 0 +│ │ │ │ ├── _meta +│ │ │ │ ├── _event +│ │ │ │ ├── column1.d +│ │ │ │ ├── column2.d +│ │ │ │ └── ... +│ │ │ └── 1 +│ │ │ ├── _meta +│ │ │ ├── _event +│ │ │ ├── column1.d +│ │ │ ├── column2.d +│ │ │ └── ... +│ │ │ +│ │ ├── _meta +│ │ ├── _txn +│ │ └── _cv + +``` + +### Ingestion via ILP protocol + +- **Native ILP integration:** + QuestDB supports the [Influx Line Protocol](/docs/reference/api/ilp/overview/) + (ILP) for high-speed data ingestion. + +- **Extensions to ILP:** + QuestDB extends ILP to support different timestamp units and the array data type. + +- **Minimal parsing overhead:** + The ILP parser quickly maps incoming data to internal structures. + +- **Parallel ingestion:** + The ILP path uses off-heap buffers and direct memory management to bypass JVM heap allocation. + +- **Protocol versatility:** + In addition to ILP, QuestDB also supports ingestion via [REST](/docs/reference/sql/overview/#rest-http-api) + and [PostgreSQL wire](/docs/reference/sql/overview/#postgresql) protocols. + + +# Next Steps + +- Back to the [QuestDB Architecture](../questdb-architecture) overview +- [QuestDB GitHub Repository](https://github.com/questdb/questdb) +- [QuestDB Documentation](/docs) diff --git a/documentation/guides/architecture/memory-management.md b/documentation/guides/architecture/memory-management.md new file mode 100644 index 000000000..d7c4ae835 --- /dev/null +++ b/documentation/guides/architecture/memory-management.md @@ -0,0 +1,47 @@ +--- +title: Memory Management +slug: memory-management +description: The system leverages both memory mapping and explicit memory management techniques, and integrates native code for performance-critical tasks. +--- + +QuestDB offers high-speed ingestion and low-latency analytics on time-series data. + + +## Memory management and native integration + +### Memory-mapped files + +- **Direct OS integration:** + Memory-mapped files let QuestDB use the operating system's page cache. This reduces explicit + I/O calls and speeds up sequential reads. + +- **Sequential access:** + When data partitions by incremental timestamp, memory mapping ensures that reads are + sequential and efficient. + +### Direct memory management and native integration + +- **Off-heap memory usage:** + QuestDB allocates direct memory via memory mapping and low-level APIs (such as Unsafe) to + bypass the JVM garbage collector. This reduces latency spikes and garbage collection delays. + +- **Hotpath efficiency:** + The system pre-allocates and reuses memory in critical code paths, avoiding dynamic allocation + on the hotpath. + +- **Native code integration:** + QuestDB uses native libraries written in C++ and Rust for performance-critical tasks. These + native components share off-heap buffers with Java via JNI. + - **Zero-copy interoperability:** + Sharing memory between Java and native code minimizes data copying and reduces latency. + - **Hybrid architecture:** + This integration lets QuestDB use Java for rapid development and C++/Rust for low-level, + high-performance routines. + +## Next Steps + +- Back to the [QuestDB Architecture](../questdb-architecture) overview +- [QuestDB GitHub Repository](https://github.com/questdb/questdb) +- [QuestDB Documentation](/docs) + + diff --git a/documentation/guides/architecture/networking-layer.md b/documentation/guides/architecture/networking-layer.md new file mode 100644 index 000000000..6e70f629b --- /dev/null +++ b/documentation/guides/architecture/networking-layer.md @@ -0,0 +1,53 @@ +--- +title: Networking Layer +slug: networking-layer +description: The system exposes RESTful APIs and implements ILP and PostgreSQL wire protocols so that existing tools and drivers work out-of-the-box. It also offers a health and metrics endpoint. +--- + + +## Networking layer + +QuestDB exposes several network interfaces and protocols to allow different client applications to interact with the database + +### InfluxDB Line protocol (ILP) over HTTP or TCP + +The [Influx Line Protocol](/docs/reference/api/ilp/overview/) allows for very high throughput of incoming data. It supports +both HTTP (recommended) or TCP. QuestDB provides official clients in seven different programming languages, as well as +integrations with third-party tools like Apache Kafka, Apache Flink, or Telegraf. Any ILP-compatible library can be used +for ingesting data into QuestDB over HTTP. + +The default port number for ILP over HTTP is `9000`, and for ILP over TCP is `9009`. + +### PostgreSQL wire protocol + +QuestDB exposes a [PostgreSQL wire](/docs/reference/sql/overview/#postgresql) protocol, which can be used to send SQL +statements both for data definition or for data manipulation. When used for data ingestion, throughput is noticeably +lower than using the ILP protocol. + +QuestDB implements the wire protocol, allowing many third-party libraries to query QuestDB directly. Some client libraries +might be incompatible if they rely heavily on PostgreSQL metadata, as QuestDB implements only a subset of it. For an +overview of some key differences on QuestDB schema design, please visit our +[Schema Design Essentials](/docs/guides/schema-design-essentials/) guide. + +The default port number for the pg-wire interface is `8812`. + +### HTTP Rest API + +QuestDB [REST API](/docs/reference/sql/overview/#rest-http-api) can be used to issue SQL statements over HTTP. It also +exposes and endpoint for importing CSV files, and for exporting tables and query results. + +The default port number for the REST API is `9000`. + +### Minimal HTTP server for health-check and metrics + +QuestDB exposes an HTTP interface for monitoring. Please see the [Observability](#observability--diagnostics) section +for more information. + +The default port number for the minimal HTTP server is `9003`. + +## Next Steps + +- Back to the [QuestDB Architecture](../questdb-architecture) overview +- [QuestDB GitHub Repository](https://github.com/questdb/questdb) +- [QuestDB Documentation](/docs) + diff --git a/documentation/guides/architecture/observability.md b/documentation/guides/architecture/observability.md new file mode 100644 index 000000000..960693a6a --- /dev/null +++ b/documentation/guides/architecture/observability.md @@ -0,0 +1,40 @@ +--- +title: Observability +slug: observability +description: QuestDB provides real-time metrics, a health check endpoint, and logging to monitor performance and simplify troubleshooting. +--- + + +## Observability & diagnostics + +- **Metrics:** + QuestDB exposes detailed [metrics in Prometheus format](/docs/operations/logging-metrics/#metrics), including query + statistics, memory usage, and I/O details. + +- **Health check:** + A [minimal HTTP server](/docs/operations/logging-metrics/#minimal-http-server) monitors system health. + +- **Metadata tables:** + The engine provides [metadata tables](/docs/reference/function/meta/) to query + table status, partition status, query execution, and latency. + +- **Extensive logging:** + [Logging](/docs/operations/logging-metrics/) covers SQL parsing, execution, background processing, and runtime exceptions. The framework minimizes performance impact. + +- **Real-time metric dashboards:** + The web console lets you create dashboards that display per-table metrics. + + + + +## Next Steps + +- Back to the [QuestDB Architecture](../questdb-architecture) overview +- [QuestDB GitHub Repository](https://github.com/questdb/questdb) +- [QuestDB Documentation](/docs) diff --git a/documentation/guides/architecture/overview.md b/documentation/guides/architecture/overview.md new file mode 100644 index 000000000..43169ced6 --- /dev/null +++ b/documentation/guides/architecture/overview.md @@ -0,0 +1,89 @@ +--- +title: Architecture Overview +slug: questdb-architecture +description: A deep technical dive into the internal architecture, storage engine, query processing, and native integrations of QuestDB. +--- + +QuestDB offers high-speed ingestion and low-latency analytics on time-series data. + + + + +This document explains QuestDB's internal architecture. + +## Key components + +QuestDB is comprised of several key components: + +- **[Storage engine](../storage-engine):** + The engine uses a column-oriented design to ensure high I/O performance and low latency. + +- **[Memory management and native integration](./memory-management):** + The system leverages both memory mapping and explicit memory management techniques, + and integrates native code for performance-critical tasks. + +- **[Query engine](./query-engine):** + A custom SQL parser, a just-in-time (JIT) compiler, and a vectorized execution engine process + data in table page frames for better CPU use. + +- **[Time-series Optimizations](./time-series-optimizations):** + QuestDB is specifically designed for time-series, and it provides several optimizations, like a + designated timestamp, sequential reads, materialized-views, or in-memory processing. + +- **[Data ingestion engine](./data-ingestion-engine):** + The engine supports bulk and streaming ingestion. It writes data to a row-based write-ahead + log (WAL) and then converts it into a columnar format. In QuestDB Enterprise, the WAL segments + ship to object storage for replication. + +- **[Networking layer](./networking-layer):** + The system exposes RESTful APIs and implements ILP and PostgreSQL wire protocols so that + existing tools and drivers work out-of-the-box. It also offers a health and metrics endpoint. + +- **[Replication layer](./replication):** + QuestDB Enterprise supports horizontal scalability for reads with read replicas, and for + writes with multi-primary. + +- **[Security](./security):** + QuestDB provides real-time metrics, a health check endpoint, and logging to monitor + performance and simplify troubleshooting. + +- **[Observability](./observability):** + QuestDB provides real-time metrics, a health check endpoint, and logging to monitor + performance and simplify troubleshooting. + +- **[Web console](./web-console):** + The engine includes a web console to run SQL statements, bulk load CSV files, and show + monitoring dashboards. QuestDB Enterprise supports single sign-on (SSO) in the web console. + + + + +## Design patterns & best practices throughout the code base + +- **Immutable data structures:** + The system favors immutability to avoid concurrency issues and simplify state + management. + +- **Modular architecture:** + Each component (storage, query processing, ingestion, etc.) has well-defined interfaces that enhance maintainability. + +- **Factory & builder patterns:** + The engine uses these patterns to centralize construction logic for complex objects like SQL execution plans and storage buffers. + +- **Lazy initialization:** + Resource-intensive components initialize only when needed to reduce startup overhead. + +- **Rigorous testing & benchmarks:** + [Unit tests, integration tests](https://github.com/questdb/questdb/tree/master/core/src/test), + and performance benchmarks ensure that new enhancements do not compromise + reliability or speed. + +## Further reading & resources + +- [QuestDB GitHub Repository](https://github.com/questdb/questdb) +- [QuestDB Documentation](/docs) diff --git a/documentation/guides/architecture/query-engine.md b/documentation/guides/architecture/query-engine.md new file mode 100644 index 000000000..da7c43512 --- /dev/null +++ b/documentation/guides/architecture/query-engine.md @@ -0,0 +1,77 @@ +--- +title: Query Engine +slug: query-engine +description: Questrb Query Engine includes A custom SQL parser, a just-in-time (JIT) compiler, and a vectorized execution engine process data in table page frames for better CPU use. + + +--- + +QuestDB offers high-speed ingestion and low-latency analytics on time-series data. + + + +## Query engine + +### SQL parsing & optimization + +- **Custom SQL parser:** + The parser supports QuestDB's SQL dialect and time-series extensions. It converts SQL queries + into an optimized abstract syntax tree (AST). + +- **Compilation pipeline:** + The engine compiles SQL into an execution plan through stages that push down predicates and + rewrite queries to remove unnecessary operations. + +- **Optimization techniques:** + The planner applies rule-based rewrites and simple cost estimations to choose efficient + execution paths. + +- **Columnar reads:** + Table columns are randomly accessible. Columns with fixed size data types are read by translating + the record number into a file offset by a simple bit shift. The offset in the column file is then + translated into an offset in a lazily mapped memory page, where the required value is read from. + + + +### Execution model + +- **Operator pipeline:** + The execution plan runs as a series of operators (filters, joins, aggregators) in a tightly + integrated pipeline. + + + +- **JIT compilation and Vectorized processing:** + Queries with a `WHERE` clause [compile](/docs/concept/jit-compiler) critical parts of the execution plan to native machine code (SIMD AVX-2 instructions) just in time. Vectorised instructions apply + the same operation to many data elements simultaneously. This maximizes CPU cache use and reduces overhead. + +- **Multi-threaded execution:** + On top of the JIT, QuestDB tries to execute as many queries as possible in a multi-threaded, + multi-core fashion. Some queries, for example those involving an index, are executed on a single + thread. Other queries, like those involving `GROUP BY` and `SAMPLE BY`, execute a pipeline with some single-threaded stages and some multi-threaded stages to avoid slow downs when groups are unbalanced. + +- **Worker pools:** QuestDB allows to configure different pools for specialized functions, like +parsing incoming data, applying WAL file changes, handling PostgreSQL-Wire protocol, or responding to HTTP connections. By default, most tasks are handled by a shared worker pool. + +- **Query plan caching:** + The system caches query plans for reuse within the same connection. (Query results are not + cached.) + +- **Column data caching:** + Data pages read from disk are kept in system memory. Sufficient memory prevents frequent disk + reads. + +## Next Steps + +- Back to the [QuestDB Architecture](../questdb-architecture) overview +- [QuestDB GitHub Repository](https://github.com/questdb/questdb) +- [QuestDB Documentation](/docs) diff --git a/documentation/guides/architecture/replication-layer.md b/documentation/guides/architecture/replication-layer.md new file mode 100644 index 000000000..c9fea1d13 --- /dev/null +++ b/documentation/guides/architecture/replication-layer.md @@ -0,0 +1,24 @@ +--- +title: Replication Layer +slug: replication-layer +description: QuestDB Enterprise supports horizontal scalability for reads with read replicas, and for writes with multi-primary. +--- + + + +## Replication + +- **Read replicas:** QuestDB uses object storage (via NFS, S3, Azure Blob Storage, or GCS) +and read replicas. Both local, cross-zonal, and cross-regional replication patterns are +supported. The architecture is described at the [replication concepts](/docs/concept/replication/) +page. + +- **Write replicas:** QuestDB allows [multi-primary ingestion](/docs/operations/multi-primary-ingestion/), which allows both increasing the write throughput, and enabling +high availabilty. A [distributed sequencer](/docs/operations/multi-primary-ingestion/#distributed-sequencer-with-foundationdb) makes sure transactions are conflict-free, and +tracks status of the cluster to enable instance discovery and automatic failover. + +## Next Steps + +- Back to the [QuestDB Architecture](../questdb-architecture) overview +- [QuestDB GitHub Repository](https://github.com/questdb/questdb) +- [QuestDB Documentation](/docs) diff --git a/documentation/guides/architecture/security.md b/documentation/guides/architecture/security.md new file mode 100644 index 000000000..1fca2024e --- /dev/null +++ b/documentation/guides/architecture/security.md @@ -0,0 +1,36 @@ +--- +title: Security +slug: security +description: QuestDB provides real-time metrics, a health check endpoint, and logging to monitor performance and simplify troubleshooting. +--- + + +## Security + +- **Built-in admin and read-only users:** + QuestDB includes built-in admin and read-only users for the pgwire protocol and HTTP endpoints using HTTP Basic Auth. + +- **HTTP basic authentication:** + You can enable HTTP Basic Authentication for the HTTP API, web console, and pgwire + protocol. Health-check and metrics endpoints can be configured independently. + +- **Token-based authentication:** + QuestDB Enterprise offers HTTP and JWT token authentication. QuestDB Open Source + supports token authentication for ILP over TCP. + +- **TLS on all protocols:** + QuestDB Enterprise supports TLS on all protocols and endpoints. + +- **Single sign-on:** + QuestDB Enterprise supports SSO via OIDC with Active Directory, EntraID, or OAuth2. + +- **Role-based access control:** + Enterprise users can create user groups and assign service accounts and users. + Grants [can be configured](/docs/operations/rbac/) individually or at the + group level with fine granularity, including column-level access. + +## Next Steps + +- Back to the [QuestDB Architecture](../questdb-architecture) overview +- [QuestDB GitHub Repository](https://github.com/questdb/questdb) +- [QuestDB Documentation](/docs) diff --git a/documentation/guides/architecture/storage-engine.md b/documentation/guides/architecture/storage-engine.md new file mode 100644 index 000000000..91f0852f7 --- /dev/null +++ b/documentation/guides/architecture/storage-engine.md @@ -0,0 +1,75 @@ +--- +title: Storage Engine +slug: storage-engine +description: The QuestDB Storage Engine uses a column-oriented design to ensure high I/O performance and low latency. +--- + + +## Storage engine + +### Parallel Write-Ahead-Log + +- **Two-phase writes**: All changes to data are recorded in a Write-Ahead-Log (WAL) before they +are written to the database files. This means that in case of a system crash or power failure, the database can recover to a consistent state by replaying the log entries. + +- **Commit and write separation**: By decoupling the transaction commit from the disk write process, +a WAL improves the performance of write-intensive workloads, as it allows for sequential disk writes +which are generally faster than random ones. + +- **Per-table WAL**: WAL files are separated per table, and also per active connection, allowing for +concurrent data ingestion, modifications, and schema changes without locking the entire table. + +- **WAL Consistency**: QuestDB implements a component called "Sequencer", which ensures that data +appears consistent to all readers, even during ongoing write operations. + + +- **TableWriter**: Changes stored in the WAL, is stored in columnat format by the TableWriter, which +can handle and resolve out-of-order data writes, and enables deduplication. Column files use an +[append model](/docs/concept/storage-model/). + + + + +### Data Deduplication + +When enabled, [data deduplication](https://questdb.com/docs/concept/deduplication/) works on all the data inserted into +the table and replaces matching rows with the new versions. Only new rows that do no match existing data will be inserted. + +Generally, if the data have mostly unique timestamps across all the rows, the performance impact of deduplication is low. +Conversely, the most demanding data pattern occurs when there are many rows with the same timestamp that need to be +deduplicated on additional columns. + + +### Column-oriented storage + +- **Data layout:** + The system stores each table as separate files per column. Fixed-size data types use one file + per column, while variable-size data types (such as `VARCHAR` or `STRING`) use two files per column. + + + + +- **CPU optimization:** + Columnar storage improves CPU use during vectorized operations, which speeds up + aggregations and computations. + +- **Compression:** + Uniform data types allow efficient compression that reduces disk space and speeds up reads + when [ZFS compression](/docs/guides/compression-zfs/) is enabled. Parquet files generated + by QuestDB use native compression. + +## Next Steps + +- Back to the [QuestDB Architecture](../questdb-architecture) overview +- [QuestDB GitHub Repository](https://github.com/questdb/questdb) +- [QuestDB Documentation](/docs) diff --git a/documentation/guides/architecture/time-series-optimizations.md b/documentation/guides/architecture/time-series-optimizations.md new file mode 100644 index 000000000..e52c4151f --- /dev/null +++ b/documentation/guides/architecture/time-series-optimizations.md @@ -0,0 +1,114 @@ +--- +title: Time Series Optimizations +slug: time-series-optimizations +description: QuestDB is specifically designed for time-series, and it provides several optimizations, like a designated timestamp, sequential reads, materialized-views, or in-memory processing. +--- + + +## Time-series optimizations + +### Designated timestamp + +- **Timestamp sorting:** + Data stores in order of incremental timestamp. Since ingestion is usually + chronological, the system uses a fast append-only strategy, except for updates and out-of-order data. + +- **Rapid interval queries and sequential reads:** + Sorted data lets the system quickly locate the start and end of data files, which speeds + up [interval queries](/docs/concept/interval-scan/). When data is accessed by increasing timestamp, + reads are sequential for each column file, which makes I/O very efficient. + + + + +- **Out-of-order data:** + When data arrives out of order, QuestDB [rearranges it](/docs/concept/partitions/#splitting-and-squashing-time-partitions) to maintain timestamp order. The + engine splits partitions to minimize [write amplification](/docs/operations/capacity-planning/#write-amplification) and compacts them in the background. + + +### Data partitioning and sequential reads + +- **Partitioning by time:** + Data [partitions by timestamp](/docs/concept/partitions/) with hourly, daily, weekly, monthly, or yearly resolution. + + + + + + +- **Partition pruning:** + The design lets the engine skip partitions that fall outside query filters. Combined with + incremental timestamp sorting, this reduces latency. + + +- **Lifecycle policies:** + The system can delete partitions manually or automatically via TTL. It also supports + detaching or attaching partitions using SQL commands. + +### Materialized views + + - [Materialize views](https://questdb.com/docs/concept/mat-views/) are auto-refreshing tables storing the pre-computed results of a query. Unlike regular views, which + compute their results at query time, materialized views persist their data to disk, making them particularly efficient + for expensive aggregate queries that are run frequently. + + - QuestDB supports materialized views for `SAMPLE BY` queries, including those joining with other tables. + + - Materialized sampled intervals are automatically refreshed whenever the base table receivews new or updated rows. + + - Materialized views can be chained, with the output of one being the input of another one, and support TTLs for lifecycle management. + + +### In-memory processing + +- **Caching:** + The engine uses the OS cache to access recent and frequently accessed data in memory, reducing + disk reads. + +- **Off-heap buffers:** + Off-heap memory, managed via memory mapping and direct allocation, avoids garbage + collection overhead. + +- **Optimized in-memory handling:** + Apart from using CPU-level optimizations such as SIMD, QuestDB uses specialized hash tables (all of them with open + addressing and linear probing), and implements algorithms for reducing the memory + footprint of many operations. + +- **Custom memory layout for different data types:** + Specialized data types, like `Symbol`, `VARCHAR`, or `UUID`, are designed to use minimal disk and memory. For example, + char sequences shorter than 9 bytes are fully inlined within our `VARCHAR` header and do not occupy any additional data space. + + ```text + Internal Representation of the VARCHAR data type + +Varchar header (column file): ++------------+-------------------+-------------------+ +| 32 bits | 48 bits | 48 bits | +| len + flags| prefix | offset | ++------------+-------------------+-------------------+ + │ ++------------------------------------+ points to +│ +▼ +Varchar data (column file): ++---+---+---+---+---+---+---+---+---+---+---+ +| H | e | l | l | o | | w | o | r | l | d | ++---+---+---+---+---+---+---+---+---+---+---+ + +``` + +## Next Steps + +- Back to the [QuestDB Architecture](../questdb-architecture) overview +- [QuestDB GitHub Repository](https://github.com/questdb/questdb) +- [QuestDB Documentation](/docs) diff --git a/documentation/guides/architecture/web-console.md b/documentation/guides/architecture/web-console.md new file mode 100644 index 000000000..65d5ec24d --- /dev/null +++ b/documentation/guides/architecture/web-console.md @@ -0,0 +1,31 @@ +--- +title: Web Console +slug: web-console +description: The engine includes a web console to run SQL statements, bulk load CSV files, and show + monitoring dashboards. QuestDB Enterprise supports single sign-on (SSO) in the web console. +--- + + +## Web Console + +The [QuestDB Web console](/docs/web-console/) is ideal for interactive exploration, and implements: + +- **SQL Editor** featuring tabs and SQL autocompletion. +- **Table and Materialized View** explorer. +- **CSV import** manager. +- **Single-sign-on**, when enabled for enterprise users. +- **Basic Auth**, when enabled for both OSS and Enterprise users. +- **Real-time metric dashboards**, to track transactions throughput, latency, and write amplification. + + + +## Next Steps + +- Back to the [QuestDB Architecture](../questdb-architecture) overview +- [QuestDB GitHub Repository](https://github.com/questdb/questdb) +- [QuestDB Documentation](/docs) + diff --git a/documentation/guides/questdb-internals.md b/documentation/guides/questdb-internals.md deleted file mode 100644 index b323dc9b7..000000000 --- a/documentation/guides/questdb-internals.md +++ /dev/null @@ -1,559 +0,0 @@ ---- -id: questdb-architecture -title: QuestDB Architecture -slug: questdb-architecture -description: A deep technical dive into the internal architecture, storage engine, query processing, and native integrations of QuestDB. ---- - -QuestDB offers high-speed ingestion and low-latency analytics on time-series data. - - - - -This document explains QuestDB's internal architecture. - -## Key components - -QuestDB is comprised of several key components: - -- **[Storage engine](#storage-engine):** - The engine uses a column-oriented design to ensure high I/O performance and low latency. - -- **[Memory management and native integration](#memory-management-and-native-integration):** - The system leverages both memory mapping and explicit memory management techniques, - and integrates native code for performance-critical tasks. - -- **[Query engine](#query-engine):** - A custom SQL parser, a just-in-time (JIT) compiler, and a vectorized execution engine process - data in table page frames for better CPU use. - -- **[Time-series Optimizations](#time-series-optimizations):** - QuestDB is specifically designed for time-series, and it provides several optimizations, like a - designated timestamp, sequential reads, materialized-views, or in-memory processing. - -- **[Data ingestion engine](#data-ingestion--write-path):** - The engine supports bulk and streaming ingestion. It writes data to a row-based write-ahead - log (WAL) and then converts it into a columnar format. In QuestDB Enterprise, the WAL segments - ship to object storage for replication. - -- **[Networking layer](#networking-layer):** - The system exposes RESTful APIs and implements ILP and PostgreSQL wire protocols so that - existing tools and drivers work out-of-the-box. It also offers a health and metrics endpoint. - -- **[Replication layer](#replication):** - QuestDB Enterprise supports horizontal scalability for reads with read replicas, and for - writes with multi-primary. - -- **[Security](#security):** - QuestDB provides real-time metrics, a health check endpoint, and logging to monitor - performance and simplify troubleshooting. - -- **[Observability](#observability--diagnostics):** - QuestDB provides real-time metrics, a health check endpoint, and logging to monitor - performance and simplify troubleshooting. - -- **[Web console](#web-console):** - The engine includes a web console to run SQL statements, bulk load CSV files, and show - monitoring dashboards. QuestDB Enterprise supports single sign-on (SSO) in the web console. - -## Storage engine - -### Parallel Write-Ahead-Log - -- **Two-phase writes**: All changes to data are recorded in a Write-Ahead-Log (WAL) before they -are written to the database files. This means that in case of a system crash or power failure, the database can recover to a consistent state by replaying the log entries. - -- **Commit and write separation**: By decoupling the transaction commit from the disk write process, -a WAL improves the performance of write-intensive workloads, as it allows for sequential disk writes -which are generally faster than random ones. - -- **Per-table WAL**: WAL files are separated per table, and also per active connection, allowing for -concurrent data ingestion, modifications, and schema changes without locking the entire table. - -- **WAL Consistency**: QuestDB implements a component called "Sequencer", which ensures that data -appears consistent to all readers, even during ongoing write operations. - - -- **TableWriter**: Changes stored in the WAL, is stored in columnat format by the TableWriter, which -can handle and resolve out-of-order data writes, and enables deduplication. Column files use an -[append model](/docs/concept/storage-model/). - - - - -### Data Deduplication - -When enabled, [data deduplication](https://questdb.com/docs/concept/deduplication/) works on all the data inserted into -the table and replaces matching rows with the new versions. Only new rows that do no match existing data will be inserted. - -Generally, if the data have mostly unique timestamps across all the rows, the performance impact of deduplication is low. -Conversely, the most demanding data pattern occurs when there are many rows with the same timestamp that need to be -deduplicated on additional columns. - - -### Column-oriented storage - -- **Data layout:** - The system stores each table as separate files per column. Fixed-size data types use one file - per column, while variable-size data types (such as `VARCHAR` or `STRING`) use two files per column. - - - - -- **CPU optimization:** - Columnar storage improves CPU use during vectorized operations, which speeds up - aggregations and computations. - -- **Compression:** - Uniform data types allow efficient compression that reduces disk space and speeds up reads - when [ZFS compression](/docs/guides/compression-zfs/) is enabled. Parquet files generated - by QuestDB use native compression. - -## Memory management and native integration - -### Memory-mapped files - -- **Direct OS integration:** - Memory-mapped files let QuestDB use the operating system's page cache. This reduces explicit - I/O calls and speeds up sequential reads. - -- **Sequential access:** - When data partitions by incremental timestamp, memory mapping ensures that reads are - sequential and efficient. - -### Direct memory management and native integration - -- **Off-heap memory usage:** - QuestDB allocates direct memory via memory mapping and low-level APIs (such as Unsafe) to - bypass the JVM garbage collector. This reduces latency spikes and garbage collection delays. - -- **Hotpath efficiency:** - The system pre-allocates and reuses memory in critical code paths, avoiding dynamic allocation - on the hotpath. - -- **Native code integration:** - QuestDB uses native libraries written in C++ and Rust for performance-critical tasks. These - native components share off-heap buffers with Java via JNI. - - **Zero-copy interoperability:** - Sharing memory between Java and native code minimizes data copying and reduces latency. - - **Hybrid architecture:** - This integration lets QuestDB use Java for rapid development and C++/Rust for low-level, - high-performance routines. - -## Query engine - -### SQL parsing & optimization - -- **Custom SQL parser:** - The parser supports QuestDB's SQL dialect and time-series extensions. It converts SQL queries - into an optimized abstract syntax tree (AST). - -- **Compilation pipeline:** - The engine compiles SQL into an execution plan through stages that push down predicates and - rewrite queries to remove unnecessary operations. - -- **Optimization techniques:** - The planner applies rule-based rewrites and simple cost estimations to choose efficient - execution paths. - -- **Columnar reads:** - Table columns are randomly accessible. Columns with fixed size data types are read by translating - the record number into a file offset by a simple bit shift. The offset in the column file is then - translated into an offset in a lazily mapped memory page, where the required value is read from. - - - -### Execution model - -- **Operator pipeline:** - The execution plan runs as a series of operators (filters, joins, aggregators) in a tightly - integrated pipeline. - - - -- **JIT compilation and Vectorized processing:** - Queries with a `WHERE` clause [compile](/docs/concept/jit-compiler) critical parts of the execution plan to native machine code (SIMD AVX-2 instructions) just in time. Vectorised instructions apply - the same operation to many data elements simultaneously. This maximizes CPU cache use and reduces overhead. - -- **Multi-threaded execution:** - On top of the JIT, QuestDB tries to execute as many queries as possible in a multi-threaded, - multi-core fashion. Some queries, for example those involving an index, are executed on a single - thread. Other queries, like those involving `GROUP BY` and `SAMPLE BY`, execute a pipeline with some single-threaded stages and some multi-threaded stages to avoid slow downs when groups are unbalanced. - -- **Worker pools:** QuestDB allows to configure different pools for specialized functions, like -parsing incoming data, applying WAL file changes, handling PostgreSQL-Wire protocol, or responding to HTTP connections. By default, most tasks are handled by a shared worker pool. - -- **Query plan caching:** - The system caches query plans for reuse within the same connection. (Query results are not - cached.) - -- **Column data caching:** - Data pages read from disk are kept in system memory. Sufficient memory prevents frequent disk - reads. - - -## Time-series optimizations - -### Designated timestamp - -- **Timestamp sorting:** - Data stores in order of incremental timestamp. Since ingestion is usually - chronological, the system uses a fast append-only strategy, except for updates and out-of-order data. - -- **Rapid interval queries and sequential reads:** - Sorted data lets the system quickly locate the start and end of data files, which speeds - up [interval queries](/docs/concept/interval-scan/). When data is accessed by increasing timestamp, - reads are sequential for each column file, which makes I/O very efficient. - - - - -- **Out-of-order data:** - When data arrives out of order, QuestDB [rearranges it](/docs/concept/partitions/#splitting-and-squashing-time-partitions) to maintain timestamp order. The - engine splits partitions to minimize [write amplification](/docs/operations/capacity-planning/#write-amplification) and compacts them in the background. - - -### Data partitioning and sequential reads - -- **Partitioning by time:** - Data [partitions by timestamp](/docs/concept/partitions/) with hourly, daily, weekly, monthly, or yearly resolution. - - - - - - -- **Partition pruning:** - The design lets the engine skip partitions that fall outside query filters. Combined with - incremental timestamp sorting, this reduces latency. - - -- **Lifecycle policies:** - The system can delete partitions manually or automatically via TTL. It also supports - detaching or attaching partitions using SQL commands. - -### Materialized views - - - [Materialize views](https://questdb.com/docs/concept/mat-views/) are auto-refreshing tables storing the pre-computed results of a query. Unlike regular views, which - compute their results at query time, materialized views persist their data to disk, making them particularly efficient - for expensive aggregate queries that are run frequently. - - - QuestDB supports materialized views for `SAMPLE BY` queries, including those joining with other tables. - - - Materialized sampled intervals are automatically refreshed whenever the base table receivews new or updated rows. - - - Materialized views can be chained, with the output of one being the input of another one, and support TTLs for lifecycle management. - - -### In-memory processing - -- **Caching:** - The engine uses the OS cache to access recent and frequently accessed data in memory, reducing - disk reads. - -- **Off-heap buffers:** - Off-heap memory, managed via memory mapping and direct allocation, avoids garbage - collection overhead. - -- **Optimized in-memory handling:** - Apart from using CPU-level optimizations such as SIMD, QuestDB uses specialized hash tables (all of them with open - addressing and linear probing), and implements algorithms for reducing the memory - footprint of many operations. - -- **Custom memory layout for different data types:** - Specialized data types, like `Symbol`, `VARCHAR`, or `UUID`, are designed to use minimal disk and memory. For example, - char sequences shorter than 9 bytes are fully inlined within our `VARCHAR` header and do not occupy any additional data space. - - ```text - Internal Representation of the VARCHAR data type - -Varchar header (column file): -+------------+-------------------+-------------------+ -| 32 bits | 48 bits | 48 bits | -| len + flags| prefix | offset | -+------------+-------------------+-------------------+ - │ -+------------------------------------+ points to -│ -▼ -Varchar data (column file): -+---+---+---+---+---+---+---+---+---+---+---+ -| H | e | l | l | o | | w | o | r | l | d | -+---+---+---+---+---+---+---+---+---+---+---+ - -``` - -## Data ingestion & write path - -### Bulk ingestion - -- **CSV ingestion:** - QuestDB offers a CSV ingestion endpoint via the [REST API](/docs/reference/api/rest/) and web console. - A specialized COPY command uses [io_uring](/blog/2022/09/12/importing-300k-rows-with-io-uring) on - fast drives to speed up ingestion. - -### Real-time streaming - -- **High-frequency writes:** - The streaming ingestion path handles millions of rows per second with non-blocking I/O. - -- **Durability:** - As seen above, the system writes data to a row-based write-ahead log (WAL) and then converts it - into column-based files for efficient reads. At the expense of performance, `sync` mode can be - enabled on commit for extra durability. - -- **Concurrent writes:** - Multiple connections writing to the same table create parallel WAL files that the engine - later consolidates into columnar storage. - -```text - -Contents of the `db` folder, showing multiple pending WAL files, -and the binary columnar data. - -├── db -│ ├── Table -│ │ │ -│ │ ├── Partition 1 -│ │ │ ├── _archive -│ │ │ ├── column1.d -│ │ │ ├── column2.d -│ │ │ ├── column2.k -│ │ │ └── ... -│ │ ├── Partition 2 -│ │ │ ├── _archive -│ │ │ ├── column1.d -│ │ │ ├── column2.d -│ │ │ ├── column2.k -│ │ │ └── ... -│ │ ├── txn_seq -│ │ │ ├── _meta -│ │ │ ├── _txnlog -│ │ │ └── _wal_index.d -│ │ ├── wal1 -│ │ │ └── 0 -│ │ │ ├── _meta -│ │ │ ├── _event -│ │ │ ├── column1.d -│ │ │ ├── column2.d -│ │ │ └── ... -│ │ ├── wal2 -│ │ │ └── 0 -│ │ │ │ ├── _meta -│ │ │ │ ├── _event -│ │ │ │ ├── column1.d -│ │ │ │ ├── column2.d -│ │ │ │ └── ... -│ │ │ └── 1 -│ │ │ ├── _meta -│ │ │ ├── _event -│ │ │ ├── column1.d -│ │ │ ├── column2.d -│ │ │ └── ... -│ │ │ -│ │ ├── _meta -│ │ ├── _txn -│ │ └── _cv - -``` - -### Ingestion via ILP protocol - -- **Native ILP integration:** - QuestDB supports the [Influx Line Protocol](/docs/reference/api/ilp/overview/) - (ILP) for high-speed data ingestion. - -- **Extensions to ILP:** - QuestDB extends ILP to support different timestamp units and the array data type. - -- **Minimal parsing overhead:** - The ILP parser quickly maps incoming data to internal structures. - -- **Parallel ingestion:** - The ILP path uses off-heap buffers and direct memory management to bypass JVM heap allocation. - -- **Protocol versatility:** - In addition to ILP, QuestDB also supports ingestion via [REST](/docs/reference/sql/overview/#rest-http-api) - and [PostgreSQL wire](/docs/reference/sql/overview/#postgresql) protocols. - -## Replication - -- **Read replicas:** QuestDB uses object storage (via NFS, S3, Azure Blob Storage, or GCS) -and read replicas. Both local, cross-zonal, and cross-regional replication patterns are -supported. The architecture is described at the [replication concepts](/docs/concept/replication/) -page. - -- **Write replicas:** QuestDB allows [multi-primary ingestion](/docs/operations/multi-primary-ingestion/), which allows both increasing the write throughput, and enabling -high availabilty. A [distributed sequencer](/docs/operations/multi-primary-ingestion/#distributed-sequencer-with-foundationdb) makes sure transactions are conflict-free, and -tracks status of the cluster to enable instance discovery and automatic failover. - - -## Networking layer - -QuestDB exposes several network interfaces and protocols to allow different client applications to interact with the database - -### InfluxDB Line protocol (ILP) over HTTP or TCP - -The [Influx Line Protocol](/docs/reference/api/ilp/overview/) allows for very high throughput of incoming data. It supports -both HTTP (recommended) or TCP. QuestDB provides official clients in seven different programming languages, as well as -integrations with third-party tools like Apache Kafka, Apache Flink, or Telegraf. Any ILP-compatible library can be used -for ingesting data into QuestDB over HTTP. - -The default port number for ILP over HTTP is `9000`, and for ILP over TCP is `9009`. - -### PostgreSQL wire protocol - -QuestDB exposes a [PostgreSQL wire](/docs/reference/sql/overview/#postgresql) protocol, which can be used to send SQL -statements both for data definition or for data manipulation. When used for data ingestion, throughput is noticeably -lower than using the ILP protocol. - -QuestDB implements the wire protocol, allowing many third-party libraries to query QuestDB directly. Some client libraries -might be incompatible if they rely heavily on PostgreSQL metadata, as QuestDB implements only a subset of it. For an -overview of some key differences on QuestDB schema design, please visit our -[Schema Design Essentials](/docs/guides/schema-design-essentials/) guide. - -The default port number for the pg-wire interface is `8812`. - -### HTTP Rest API - -QuestDB [REST API](/docs/reference/sql/overview/#rest-http-api) can be used to issue SQL statements over HTTP. It also -exposes and endpoint for importing CSV files, and for exporting tables and query results. - -The default port number for the REST API is `9000`. - -### Minimal HTTP server for health-check and metrics - -QuestDB exposes an HTTP interface for monitoring. Please see the [Observability](#observability--diagnostics) section -for more information. - -The default port number for the minimal HTTP server is `9003`. - -## Security - -- **Built-in admin and read-only users:** - QuestDB includes built-in admin and read-only users for the pgwire protocol and HTTP endpoints using HTTP Basic Auth. - -- **HTTP basic authentication:** - You can enable HTTP Basic Authentication for the HTTP API, web console, and pgwire - protocol. Health-check and metrics endpoints can be configured independently. - -- **Token-based authentication:** - QuestDB Enterprise offers HTTP and JWT token authentication. QuestDB Open Source - supports token authentication for ILP over TCP. - -- **TLS on all protocols:** - QuestDB Enterprise supports TLS on all protocols and endpoints. - -- **Single sign-on:** - QuestDB Enterprise supports SSO via OIDC with Active Directory, EntraID, or OAuth2. - -- **Role-based access control:** - Enterprise users can create user groups and assign service accounts and users. - Grants [can be configured](/docs/operations/rbac/) individually or at the - group level with fine granularity, including column-level access. - - -## Observability & diagnostics - -- **Metrics:** - QuestDB exposes detailed [metrics in Prometheus format](/docs/operations/logging-metrics/#metrics), including query - statistics, memory usage, and I/O details. - -- **Health check:** - A [minimal HTTP server](/docs/operations/logging-metrics/#minimal-http-server) monitors system health. - -- **Metadata tables:** - The engine provides [metadata tables](/docs/reference/function/meta/) to query - table status, partition status, query execution, and latency. - -- **Extensive logging:** - [Logging](/docs/operations/logging-metrics/) covers SQL parsing, execution, background processing, and runtime exceptions. The framework minimizes performance impact. - -- **Real-time metric dashboards:** - The web console lets you create dashboards that display per-table metrics. - - - -## Web Console - -The [QuestDB Web console](/docs/web-console/) is ideal for interactive exploration, and implements: - -- **SQL Editor** featuring tabs and SQL autocompletion. -- **Table and Materialized View** explorer. -- **CSV import** manager. -- **Single-sign-on**, when enabled for enterprise users. -- **Basic Auth**, when enabled for both OSS and Enterprise users. -- **Real-time metric dashboards**, to track transactions throughput, latency, and write amplification. - - - - -## Design patterns & best practices throughout the code base - -- **Immutable data structures:** - The system favors immutability to avoid concurrency issues and simplify state - management. - -- **Modular architecture:** - Each component (storage, query processing, ingestion, etc.) has well-defined interfaces that enhance maintainability. - -- **Factory & builder patterns:** - The engine uses these patterns to centralize construction logic for complex objects like SQL execution plans and storage buffers. - -- **Lazy initialization:** - Resource-intensive components initialize only when needed to reduce startup overhead. - -- **Rigorous testing & benchmarks:** - [Unit tests, integration tests](https://github.com/questdb/questdb/tree/master/core/src/test), - and performance benchmarks ensure that new enhancements do not compromise - reliability or speed. - -## Further reading & resources - -- [QuestDB GitHub Repository](https://github.com/questdb/questdb) -- [QuestDB Documentation](/docs) diff --git a/documentation/sidebars.js b/documentation/sidebars.js index cfc2f2c88..102428871 100644 --- a/documentation/sidebars.js +++ b/documentation/sidebars.js @@ -516,7 +516,23 @@ module.exports = { "guides/import-csv", "guides/mat-views", "guides/modifying-data", - "guides/questdb-architecture", + { + label: "QuestDB Architecture", + type: "category", + items: [ + "guides/architecture/overview", + "guides/architecture/storage-engine", + "guides/architecture/memory-management", + "guides/architecture/query-engine", + "guides/architecture/time-series-optimizations", + "guides/architecture/data-ingestion-engine", + "guides/architecture/networking-layer", + "guides/architecture/replication-layer", + "guides/architecture/security", + "guides/architecture/observability", + "guides/architecture/web-console" + ] + }, "guides/replication-tuning", "guides/working-with-timestamps-timezones", "web-console", From a4b347dac95e47129e15d91f65dfa98eb0851fdb Mon Sep 17 00:00:00 2001 From: javier Date: Tue, 27 May 2025 17:54:55 +0200 Subject: [PATCH 29/35] changed links --- .../architecture/data-ingestion-engine.md | 4 ++-- .../guides/architecture/memory-management.md | 2 +- .../guides/architecture/networking-layer.md | 2 +- .../guides/architecture/observability.md | 2 +- documentation/guides/architecture/overview.md | 20 +++++++++---------- .../guides/architecture/query-engine.md | 2 +- .../guides/architecture/replication-layer.md | 2 +- documentation/guides/architecture/security.md | 2 +- .../guides/architecture/storage-engine.md | 2 +- .../architecture/time-series-optimizations.md | 2 +- .../guides/architecture/web-console.md | 2 +- 11 files changed, 21 insertions(+), 21 deletions(-) diff --git a/documentation/guides/architecture/data-ingestion-engine.md b/documentation/guides/architecture/data-ingestion-engine.md index aafcd0d66..908c1d698 100644 --- a/documentation/guides/architecture/data-ingestion-engine.md +++ b/documentation/guides/architecture/data-ingestion-engine.md @@ -99,8 +99,8 @@ and the binary columnar data. and [PostgreSQL wire](/docs/reference/sql/overview/#postgresql) protocols. -# Next Steps +## Next Steps -- Back to the [QuestDB Architecture](../questdb-architecture) overview +- Back to the [QuestDB Architecture](/docs/guides/questdb-architecture) overview - [QuestDB GitHub Repository](https://github.com/questdb/questdb) - [QuestDB Documentation](/docs) diff --git a/documentation/guides/architecture/memory-management.md b/documentation/guides/architecture/memory-management.md index d7c4ae835..74c515a82 100644 --- a/documentation/guides/architecture/memory-management.md +++ b/documentation/guides/architecture/memory-management.md @@ -40,7 +40,7 @@ QuestDB offers high-speed ingestion and low-latency analytics on time-series dat ## Next Steps -- Back to the [QuestDB Architecture](../questdb-architecture) overview +- Back to the [QuestDB Architecture](/docs/guides/questdb-architecture) overview - [QuestDB GitHub Repository](https://github.com/questdb/questdb) - [QuestDB Documentation](/docs) diff --git a/documentation/guides/architecture/networking-layer.md b/documentation/guides/architecture/networking-layer.md index 6e70f629b..3b6adfe44 100644 --- a/documentation/guides/architecture/networking-layer.md +++ b/documentation/guides/architecture/networking-layer.md @@ -47,7 +47,7 @@ The default port number for the minimal HTTP server is `9003`. ## Next Steps -- Back to the [QuestDB Architecture](../questdb-architecture) overview +- Back to the [QuestDB Architecture](/docs/guides/questdb-architecture) overview - [QuestDB GitHub Repository](https://github.com/questdb/questdb) - [QuestDB Documentation](/docs) diff --git a/documentation/guides/architecture/observability.md b/documentation/guides/architecture/observability.md index 960693a6a..0f5616fa0 100644 --- a/documentation/guides/architecture/observability.md +++ b/documentation/guides/architecture/observability.md @@ -35,6 +35,6 @@ description: QuestDB provides real-time metrics, a health check endpoint, and lo ## Next Steps -- Back to the [QuestDB Architecture](../questdb-architecture) overview +- Back to the [QuestDB Architecture](/docs/guides/questdb-architecture) overview - [QuestDB GitHub Repository](https://github.com/questdb/questdb) - [QuestDB Documentation](/docs) diff --git a/documentation/guides/architecture/overview.md b/documentation/guides/architecture/overview.md index 43169ced6..c2fe22110 100644 --- a/documentation/guides/architecture/overview.md +++ b/documentation/guides/architecture/overview.md @@ -20,43 +20,43 @@ This document explains QuestDB's internal architecture. QuestDB is comprised of several key components: -- **[Storage engine](../storage-engine):** +- **[Storage engine](/docs/guides/questdb-architecture/storage-engine):** The engine uses a column-oriented design to ensure high I/O performance and low latency. -- **[Memory management and native integration](./memory-management):** +- **[Memory management and native integration](/docs/guides/questdb-architecture/memory-management):** The system leverages both memory mapping and explicit memory management techniques, and integrates native code for performance-critical tasks. -- **[Query engine](./query-engine):** +- **[Query engine](/docs/guides/questdb-architecture/query-engine):** A custom SQL parser, a just-in-time (JIT) compiler, and a vectorized execution engine process data in table page frames for better CPU use. -- **[Time-series Optimizations](./time-series-optimizations):** +- **[Time-series Optimizations](/docs/guides/questdb-architecture/time-series-optimizations):** QuestDB is specifically designed for time-series, and it provides several optimizations, like a designated timestamp, sequential reads, materialized-views, or in-memory processing. -- **[Data ingestion engine](./data-ingestion-engine):** +- **[Data ingestion engine](/docs/guides/questdb-architecture/data-ingestion-engine):** The engine supports bulk and streaming ingestion. It writes data to a row-based write-ahead log (WAL) and then converts it into a columnar format. In QuestDB Enterprise, the WAL segments ship to object storage for replication. -- **[Networking layer](./networking-layer):** +- **[Networking layer](/docs/guides/questdb-architecture/networking-layer):** The system exposes RESTful APIs and implements ILP and PostgreSQL wire protocols so that existing tools and drivers work out-of-the-box. It also offers a health and metrics endpoint. -- **[Replication layer](./replication):** +- **[Replication layer](/docs/guides/questdb-architecture/replication):** QuestDB Enterprise supports horizontal scalability for reads with read replicas, and for writes with multi-primary. -- **[Security](./security):** +- **[Security](/docs/guides/questdb-architecture/security):** QuestDB provides real-time metrics, a health check endpoint, and logging to monitor performance and simplify troubleshooting. -- **[Observability](./observability):** +- **[Observability](/docs/guides/questdb-architecture/observability):** QuestDB provides real-time metrics, a health check endpoint, and logging to monitor performance and simplify troubleshooting. -- **[Web console](./web-console):** +- **[Web console](/docs/guides/questdb-architecture/web-console):** The engine includes a web console to run SQL statements, bulk load CSV files, and show monitoring dashboards. QuestDB Enterprise supports single sign-on (SSO) in the web console. diff --git a/documentation/guides/architecture/query-engine.md b/documentation/guides/architecture/query-engine.md index da7c43512..823c8fb09 100644 --- a/documentation/guides/architecture/query-engine.md +++ b/documentation/guides/architecture/query-engine.md @@ -72,6 +72,6 @@ parsing incoming data, applying WAL file changes, handling PostgreSQL-Wire proto ## Next Steps -- Back to the [QuestDB Architecture](../questdb-architecture) overview +- Back to the [QuestDB Architecture](/docs/guides/questdb-architecture) overview - [QuestDB GitHub Repository](https://github.com/questdb/questdb) - [QuestDB Documentation](/docs) diff --git a/documentation/guides/architecture/replication-layer.md b/documentation/guides/architecture/replication-layer.md index c9fea1d13..9f778b363 100644 --- a/documentation/guides/architecture/replication-layer.md +++ b/documentation/guides/architecture/replication-layer.md @@ -19,6 +19,6 @@ tracks status of the cluster to enable instance discovery and automatic failover ## Next Steps -- Back to the [QuestDB Architecture](../questdb-architecture) overview +- Back to the [QuestDB Architecture](/docs/guides/questdb-architecture) overview - [QuestDB GitHub Repository](https://github.com/questdb/questdb) - [QuestDB Documentation](/docs) diff --git a/documentation/guides/architecture/security.md b/documentation/guides/architecture/security.md index 1fca2024e..cc0349ceb 100644 --- a/documentation/guides/architecture/security.md +++ b/documentation/guides/architecture/security.md @@ -31,6 +31,6 @@ description: QuestDB provides real-time metrics, a health check endpoint, and lo ## Next Steps -- Back to the [QuestDB Architecture](../questdb-architecture) overview +- Back to the [QuestDB Architecture](/docs/guides/questdb-architecture) overview - [QuestDB GitHub Repository](https://github.com/questdb/questdb) - [QuestDB Documentation](/docs) diff --git a/documentation/guides/architecture/storage-engine.md b/documentation/guides/architecture/storage-engine.md index 91f0852f7..b9732fcfb 100644 --- a/documentation/guides/architecture/storage-engine.md +++ b/documentation/guides/architecture/storage-engine.md @@ -70,6 +70,6 @@ deduplicated on additional columns. ## Next Steps -- Back to the [QuestDB Architecture](../questdb-architecture) overview +- Back to the [QuestDB Architecture](/docs/guides/questdb-architecture) overview - [QuestDB GitHub Repository](https://github.com/questdb/questdb) - [QuestDB Documentation](/docs) diff --git a/documentation/guides/architecture/time-series-optimizations.md b/documentation/guides/architecture/time-series-optimizations.md index e52c4151f..a5ba34fee 100644 --- a/documentation/guides/architecture/time-series-optimizations.md +++ b/documentation/guides/architecture/time-series-optimizations.md @@ -109,6 +109,6 @@ Varchar data (column file): ## Next Steps -- Back to the [QuestDB Architecture](../questdb-architecture) overview +- Back to the [QuestDB Architecture](/docs/guides/questdb-architecture) overview - [QuestDB GitHub Repository](https://github.com/questdb/questdb) - [QuestDB Documentation](/docs) diff --git a/documentation/guides/architecture/web-console.md b/documentation/guides/architecture/web-console.md index 65d5ec24d..9bc2b797e 100644 --- a/documentation/guides/architecture/web-console.md +++ b/documentation/guides/architecture/web-console.md @@ -25,7 +25,7 @@ The [QuestDB Web console](/docs/web-console/) is ideal for interactive explorati ## Next Steps -- Back to the [QuestDB Architecture](../questdb-architecture) overview +- Back to the [QuestDB Architecture](/docs/guides/questdb-architecture) overview - [QuestDB GitHub Repository](https://github.com/questdb/questdb) - [QuestDB Documentation](/docs) From 218c70b1c8d6752162dbb42cc443e65946bd5341 Mon Sep 17 00:00:00 2001 From: javier Date: Tue, 27 May 2025 18:02:23 +0200 Subject: [PATCH 30/35] links fixed --- .../architecture/data-ingestion-engine.md | 3 ++- .../guides/architecture/memory-management.md | 3 ++- .../guides/architecture/networking-layer.md | 3 ++- .../guides/architecture/observability.md | 3 ++- documentation/guides/architecture/overview.md | 20 +++++++++---------- .../guides/architecture/query-engine.md | 2 +- .../guides/architecture/replication-layer.md | 3 ++- documentation/guides/architecture/security.md | 2 +- .../guides/architecture/storage-engine.md | 3 ++- .../architecture/time-series-optimizations.md | 3 ++- .../guides/architecture/web-console.md | 4 +++- 11 files changed, 29 insertions(+), 20 deletions(-) diff --git a/documentation/guides/architecture/data-ingestion-engine.md b/documentation/guides/architecture/data-ingestion-engine.md index 908c1d698..a6d41dcf2 100644 --- a/documentation/guides/architecture/data-ingestion-engine.md +++ b/documentation/guides/architecture/data-ingestion-engine.md @@ -101,6 +101,7 @@ and the binary columnar data. ## Next Steps -- Back to the [QuestDB Architecture](/docs/guides/questdb-architecture) overview +- Back to the [QuestDB Architecture](/docs/guides/architecture/questdb-architecture) overview - [QuestDB GitHub Repository](https://github.com/questdb/questdb) - [QuestDB Documentation](/docs) + diff --git a/documentation/guides/architecture/memory-management.md b/documentation/guides/architecture/memory-management.md index 74c515a82..bab977598 100644 --- a/documentation/guides/architecture/memory-management.md +++ b/documentation/guides/architecture/memory-management.md @@ -40,8 +40,9 @@ QuestDB offers high-speed ingestion and low-latency analytics on time-series dat ## Next Steps -- Back to the [QuestDB Architecture](/docs/guides/questdb-architecture) overview +- Back to the [QuestDB Architecture](/docs/guides/architecture/questdb-architecture) overview - [QuestDB GitHub Repository](https://github.com/questdb/questdb) - [QuestDB Documentation](/docs) + diff --git a/documentation/guides/architecture/networking-layer.md b/documentation/guides/architecture/networking-layer.md index 3b6adfe44..51353b00a 100644 --- a/documentation/guides/architecture/networking-layer.md +++ b/documentation/guides/architecture/networking-layer.md @@ -47,7 +47,8 @@ The default port number for the minimal HTTP server is `9003`. ## Next Steps -- Back to the [QuestDB Architecture](/docs/guides/questdb-architecture) overview +- Back to the [QuestDB Architecture](/docs/guides/architecture/questdb-architecture) overview - [QuestDB GitHub Repository](https://github.com/questdb/questdb) - [QuestDB Documentation](/docs) + diff --git a/documentation/guides/architecture/observability.md b/documentation/guides/architecture/observability.md index 0f5616fa0..22b514f39 100644 --- a/documentation/guides/architecture/observability.md +++ b/documentation/guides/architecture/observability.md @@ -35,6 +35,7 @@ description: QuestDB provides real-time metrics, a health check endpoint, and lo ## Next Steps -- Back to the [QuestDB Architecture](/docs/guides/questdb-architecture) overview +- Back to the [QuestDB Architecture](/docs/guides/architecture/questdb-architecture) overview - [QuestDB GitHub Repository](https://github.com/questdb/questdb) - [QuestDB Documentation](/docs) + diff --git a/documentation/guides/architecture/overview.md b/documentation/guides/architecture/overview.md index c2fe22110..628fd3900 100644 --- a/documentation/guides/architecture/overview.md +++ b/documentation/guides/architecture/overview.md @@ -20,43 +20,43 @@ This document explains QuestDB's internal architecture. QuestDB is comprised of several key components: -- **[Storage engine](/docs/guides/questdb-architecture/storage-engine):** +- **[Storage engine](/docs/guides/architecture/storage-engine):** The engine uses a column-oriented design to ensure high I/O performance and low latency. -- **[Memory management and native integration](/docs/guides/questdb-architecture/memory-management):** +- **[Memory management and native integration](/docs/guides/architecture/memory-management):** The system leverages both memory mapping and explicit memory management techniques, and integrates native code for performance-critical tasks. -- **[Query engine](/docs/guides/questdb-architecture/query-engine):** +- **[Query engine](/docs/guides/architecture/query-engine):** A custom SQL parser, a just-in-time (JIT) compiler, and a vectorized execution engine process data in table page frames for better CPU use. -- **[Time-series Optimizations](/docs/guides/questdb-architecture/time-series-optimizations):** +- **[Time-series Optimizations](/docs/guides/architecture/time-series-optimizations):** QuestDB is specifically designed for time-series, and it provides several optimizations, like a designated timestamp, sequential reads, materialized-views, or in-memory processing. -- **[Data ingestion engine](/docs/guides/questdb-architecture/data-ingestion-engine):** +- **[Data ingestion engine](/docs/guides/architecture/data-ingestion-engine):** The engine supports bulk and streaming ingestion. It writes data to a row-based write-ahead log (WAL) and then converts it into a columnar format. In QuestDB Enterprise, the WAL segments ship to object storage for replication. -- **[Networking layer](/docs/guides/questdb-architecture/networking-layer):** +- **[Networking layer](/docs/guides/architecture/networking-layer):** The system exposes RESTful APIs and implements ILP and PostgreSQL wire protocols so that existing tools and drivers work out-of-the-box. It also offers a health and metrics endpoint. -- **[Replication layer](/docs/guides/questdb-architecture/replication):** +- **[Replication layer](/docs/guides/architecture/replication):** QuestDB Enterprise supports horizontal scalability for reads with read replicas, and for writes with multi-primary. -- **[Security](/docs/guides/questdb-architecture/security):** +- **[Security](/docs/guides/architecture/security):** QuestDB provides real-time metrics, a health check endpoint, and logging to monitor performance and simplify troubleshooting. -- **[Observability](/docs/guides/questdb-architecture/observability):** +- **[Observability](/docs/guides/architecture/observability):** QuestDB provides real-time metrics, a health check endpoint, and logging to monitor performance and simplify troubleshooting. -- **[Web console](/docs/guides/questdb-architecture/web-console):** +- **[Web console](/docs/guides/architecture/web-console):** The engine includes a web console to run SQL statements, bulk load CSV files, and show monitoring dashboards. QuestDB Enterprise supports single sign-on (SSO) in the web console. diff --git a/documentation/guides/architecture/query-engine.md b/documentation/guides/architecture/query-engine.md index 823c8fb09..41833beef 100644 --- a/documentation/guides/architecture/query-engine.md +++ b/documentation/guides/architecture/query-engine.md @@ -72,6 +72,6 @@ parsing incoming data, applying WAL file changes, handling PostgreSQL-Wire proto ## Next Steps -- Back to the [QuestDB Architecture](/docs/guides/questdb-architecture) overview +- Back to the [QuestDB Architecture](/docs/guides/architecture/questdb-architecture) overview - [QuestDB GitHub Repository](https://github.com/questdb/questdb) - [QuestDB Documentation](/docs) diff --git a/documentation/guides/architecture/replication-layer.md b/documentation/guides/architecture/replication-layer.md index 9f778b363..efd594dbc 100644 --- a/documentation/guides/architecture/replication-layer.md +++ b/documentation/guides/architecture/replication-layer.md @@ -19,6 +19,7 @@ tracks status of the cluster to enable instance discovery and automatic failover ## Next Steps -- Back to the [QuestDB Architecture](/docs/guides/questdb-architecture) overview +- Back to the [QuestDB Architecture](/docs/guides/architecture/questdb-architecture) overview - [QuestDB GitHub Repository](https://github.com/questdb/questdb) - [QuestDB Documentation](/docs) + diff --git a/documentation/guides/architecture/security.md b/documentation/guides/architecture/security.md index cc0349ceb..81982bd93 100644 --- a/documentation/guides/architecture/security.md +++ b/documentation/guides/architecture/security.md @@ -31,6 +31,6 @@ description: QuestDB provides real-time metrics, a health check endpoint, and lo ## Next Steps -- Back to the [QuestDB Architecture](/docs/guides/questdb-architecture) overview +- Back to the [QuestDB Architecture](/docs/guides/architecture/questdb-architecture) overview - [QuestDB GitHub Repository](https://github.com/questdb/questdb) - [QuestDB Documentation](/docs) diff --git a/documentation/guides/architecture/storage-engine.md b/documentation/guides/architecture/storage-engine.md index b9732fcfb..c44da42ec 100644 --- a/documentation/guides/architecture/storage-engine.md +++ b/documentation/guides/architecture/storage-engine.md @@ -70,6 +70,7 @@ deduplicated on additional columns. ## Next Steps -- Back to the [QuestDB Architecture](/docs/guides/questdb-architecture) overview +- Back to the [QuestDB Architecture](/docs/guides/architecture/questdb-architecture) overview - [QuestDB GitHub Repository](https://github.com/questdb/questdb) - [QuestDB Documentation](/docs) + diff --git a/documentation/guides/architecture/time-series-optimizations.md b/documentation/guides/architecture/time-series-optimizations.md index a5ba34fee..d9eddc18e 100644 --- a/documentation/guides/architecture/time-series-optimizations.md +++ b/documentation/guides/architecture/time-series-optimizations.md @@ -109,6 +109,7 @@ Varchar data (column file): ## Next Steps -- Back to the [QuestDB Architecture](/docs/guides/questdb-architecture) overview +- Back to the [QuestDB Architecture](/docs/guides/architecture/questdb-architecture) overview - [QuestDB GitHub Repository](https://github.com/questdb/questdb) - [QuestDB Documentation](/docs) + diff --git a/documentation/guides/architecture/web-console.md b/documentation/guides/architecture/web-console.md index 9bc2b797e..0622249bc 100644 --- a/documentation/guides/architecture/web-console.md +++ b/documentation/guides/architecture/web-console.md @@ -25,7 +25,9 @@ The [QuestDB Web console](/docs/web-console/) is ideal for interactive explorati ## Next Steps -- Back to the [QuestDB Architecture](/docs/guides/questdb-architecture) overview +- Back to the [QuestDB Architecture](/docs/guides/architecture/questdb-architecture) overview - [QuestDB GitHub Repository](https://github.com/questdb/questdb) - [QuestDB Documentation](/docs) + + From 80a104ecefd7eb520823e7065830e51c2e7fd058 Mon Sep 17 00:00:00 2001 From: javier Date: Tue, 27 May 2025 18:06:56 +0200 Subject: [PATCH 31/35] two broken links --- documentation/guides/architecture/overview.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/documentation/guides/architecture/overview.md b/documentation/guides/architecture/overview.md index 628fd3900..de153dd7d 100644 --- a/documentation/guides/architecture/overview.md +++ b/documentation/guides/architecture/overview.md @@ -35,7 +35,7 @@ QuestDB is comprised of several key components: QuestDB is specifically designed for time-series, and it provides several optimizations, like a designated timestamp, sequential reads, materialized-views, or in-memory processing. -- **[Data ingestion engine](/docs/guides/architecture/data-ingestion-engine):** +- **[Data ingestion engine](/docs/guides/architecture/data-ingestion):** The engine supports bulk and streaming ingestion. It writes data to a row-based write-ahead log (WAL) and then converts it into a columnar format. In QuestDB Enterprise, the WAL segments ship to object storage for replication. @@ -44,7 +44,7 @@ QuestDB is comprised of several key components: The system exposes RESTful APIs and implements ILP and PostgreSQL wire protocols so that existing tools and drivers work out-of-the-box. It also offers a health and metrics endpoint. -- **[Replication layer](/docs/guides/architecture/replication):** +- **[Replication layer](/docs/guides/architecture/replication-layer):** QuestDB Enterprise supports horizontal scalability for reads with read replicas, and for writes with multi-primary. From 5672dd301f76fd1106de8ee7f01f6c88e4814802 Mon Sep 17 00:00:00 2001 From: javier Date: Tue, 27 May 2025 18:11:59 +0200 Subject: [PATCH 32/35] link to observability --- documentation/guides/architecture/networking-layer.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/documentation/guides/architecture/networking-layer.md b/documentation/guides/architecture/networking-layer.md index 51353b00a..4e8b400e0 100644 --- a/documentation/guides/architecture/networking-layer.md +++ b/documentation/guides/architecture/networking-layer.md @@ -40,7 +40,7 @@ The default port number for the REST API is `9000`. ### Minimal HTTP server for health-check and metrics -QuestDB exposes an HTTP interface for monitoring. Please see the [Observability](#observability--diagnostics) section +QuestDB exposes an HTTP interface for monitoring. Please see the [Observability](/docs/guides/architecture/observability) section for more information. The default port number for the minimal HTTP server is `9003`. From 8f47519ef97629feb1a02d8d43a858e9b7503496 Mon Sep 17 00:00:00 2001 From: javier Date: Wed, 28 May 2025 14:15:50 +0200 Subject: [PATCH 33/35] adding intros to all subpages --- .../architecture/data-ingestion-engine.md | 3 ++ .../guides/architecture/memory-management.md | 6 +-- .../guides/architecture/observability.md | 2 + documentation/guides/architecture/overview.md | 4 +- .../guides/architecture/query-engine.md | 8 +-- .../guides/architecture/replication-layer.md | 49 ++++++++++++++++--- documentation/guides/architecture/security.md | 5 +- .../guides/architecture/storage-engine.md | 4 ++ .../architecture/time-series-optimizations.md | 3 ++ 9 files changed, 67 insertions(+), 17 deletions(-) diff --git a/documentation/guides/architecture/data-ingestion-engine.md b/documentation/guides/architecture/data-ingestion-engine.md index a6d41dcf2..1eb497ac6 100644 --- a/documentation/guides/architecture/data-ingestion-engine.md +++ b/documentation/guides/architecture/data-ingestion-engine.md @@ -7,6 +7,9 @@ description: The QuestDB Data Ingestion Engine supports bulk and streaming inges ## Data ingestion & write path +The QuestDB Data Ingestion Engine supports bulk and streaming ingestion. It writes data to a row-based write-ahead log +(WAL) and then converts it into a columnar format. In QuestDB Enterprise, the WAL segments ship to object storage for replication. + ### Bulk ingestion - **CSV ingestion:** diff --git a/documentation/guides/architecture/memory-management.md b/documentation/guides/architecture/memory-management.md index bab977598..50dda1c65 100644 --- a/documentation/guides/architecture/memory-management.md +++ b/documentation/guides/architecture/memory-management.md @@ -1,14 +1,14 @@ --- title: Memory Management slug: memory-management -description: The system leverages both memory mapping and explicit memory management techniques, and integrates native code for performance-critical tasks. +description: QuestDB leverages both memory mapping and explicit memory management techniques, and integrates native code for performance-critical tasks. --- -QuestDB offers high-speed ingestion and low-latency analytics on time-series data. - ## Memory management and native integration +QuestDB leverages both memory mapping and explicit memory management techniques, and integrates native code for performance-critical tasks. + ### Memory-mapped files - **Direct OS integration:** diff --git a/documentation/guides/architecture/observability.md b/documentation/guides/architecture/observability.md index 22b514f39..067032737 100644 --- a/documentation/guides/architecture/observability.md +++ b/documentation/guides/architecture/observability.md @@ -7,6 +7,8 @@ description: QuestDB provides real-time metrics, a health check endpoint, and lo ## Observability & diagnostics +QuestDB provides real-time metrics, a health check endpoint, and logging to monitor performance and simplify troubleshooting. + - **Metrics:** QuestDB exposes detailed [metrics in Prometheus format](/docs/operations/logging-metrics/#metrics), including query statistics, memory usage, and I/O details. diff --git a/documentation/guides/architecture/overview.md b/documentation/guides/architecture/overview.md index de153dd7d..d0cfd89a1 100644 --- a/documentation/guides/architecture/overview.md +++ b/documentation/guides/architecture/overview.md @@ -49,8 +49,8 @@ QuestDB is comprised of several key components: writes with multi-primary. - **[Security](/docs/guides/architecture/security):** - QuestDB provides real-time metrics, a health check endpoint, and logging to monitor - performance and simplify troubleshooting. + QuestDB implements enterprise-grade security with TLS, single-sign-on, and role-based access control with + fine-grained granularity. - **[Observability](/docs/guides/architecture/observability):** QuestDB provides real-time metrics, a health check endpoint, and logging to monitor diff --git a/documentation/guides/architecture/query-engine.md b/documentation/guides/architecture/query-engine.md index 41833beef..ab9e8d247 100644 --- a/documentation/guides/architecture/query-engine.md +++ b/documentation/guides/architecture/query-engine.md @@ -1,16 +1,16 @@ --- title: Query Engine slug: query-engine -description: Questrb Query Engine includes A custom SQL parser, a just-in-time (JIT) compiler, and a vectorized execution engine process data in table page frames for better CPU use. +description: The QuestDB Query Engine includes A custom SQL parser, a just-in-time (JIT) compiler, and a vectorized execution engine to process data in table page frames for better CPU use. --- -QuestDB offers high-speed ingestion and low-latency analytics on time-series data. - +## Query engine +The QuestDB Query Engine includes A custom SQL parser, a just-in-time (JIT) compiler, and a vectorized execution engine +to process data in table page frames for better CPU use. -## Query engine ### SQL parsing & optimization diff --git a/documentation/guides/architecture/replication-layer.md b/documentation/guides/architecture/replication-layer.md index efd594dbc..877b1bf33 100644 --- a/documentation/guides/architecture/replication-layer.md +++ b/documentation/guides/architecture/replication-layer.md @@ -5,17 +5,52 @@ description: QuestDB Enterprise supports horizontal scalability for reads with r --- - ## Replication -- **Read replicas:** QuestDB uses object storage (via NFS, S3, Azure Blob Storage, or GCS) -and read replicas. Both local, cross-zonal, and cross-regional replication patterns are -supported. The architecture is described at the [replication concepts](/docs/concept/replication/) +QuestDB Enterprise offers primary-replica replication with eventual consistency. Replication in QuestDB operates by +designating a single "primary" database that uploads Write Ahead Log (WAL) files to a remote object store. These files +can be downloaded and applied by any number of "replica" instances, either continuously or at a later time. + +Full details of replication can be found at the [replication concepts](/docs/concept/replication/) page. -- **Write replicas:** QuestDB allows [multi-primary ingestion](/docs/operations/multi-primary-ingestion/), which allows both increasing the write throughput, and enabling -high availabilty. A [distributed sequencer](/docs/operations/multi-primary-ingestion/#distributed-sequencer-with-foundationdb) makes sure transactions are conflict-free, and -tracks status of the cluster to enable instance discovery and automatic failover. +### Type of instances on a replicated QuestDB cluster + +#### Primary instances + +Primary instances offer the same features as stand-alone instances, supporting both reads and writes. To keep the +overhead of replication to a minimum, primary instances only ship WAL segments to the designated object store. There +is no communication between the primary and the replicas. Metadata is also replicated to the object store to avoid any +inconsistencies between different instances in the cluster. + +A typical replicated deployment will have at least one primary and one replica, but it is also possible to set up a +primary to replicate changes to the object store, even if there are no read replicas configured. The replicated data +could be used for point-in-time recovery. + +For demanding scenarios, QuestDB Enterprise allows [multi-primary ingestion](/docs/operations/multi-primary-ingestion/), +which allows both increasing the write throughput, and enabling high availabilty. In order to enable multi-primary ingestion, +a `Distributed Sequencer` instance will need to be created. + + +#### Read Replicas + +Read Replicas are designed to distribute data and load across multiple locations and instances. Each replica can have +different hardware configuration, to allow for optimizations depending on the usage. + +Replicas can be local, cross-zonal, or cross-regional. As long as the replicas can read metadata and WAL segments from +the object store, they will catch up with the data ingested by the primaries. + +At the moment of writing this guide, read replicas will replicate from all tables and partitions from the primaries. + +#### Distributed Sequencer + +When multi-primary ingestion is configured, it is necessary to coordinate writes, to ensure transactions are consistent +and conflict-free. + +The sequencer coordinates transactions by assigning monotonic transaction numbers to writes. The distributed sequencer +uses [FoundationDB](https://www.foundationdb.org/) as the backend for storing transaction metadata and enabling synchronization +across primaries. + ## Next Steps diff --git a/documentation/guides/architecture/security.md b/documentation/guides/architecture/security.md index 81982bd93..cca2c95ee 100644 --- a/documentation/guides/architecture/security.md +++ b/documentation/guides/architecture/security.md @@ -1,12 +1,15 @@ --- title: Security slug: security -description: QuestDB provides real-time metrics, a health check endpoint, and logging to monitor performance and simplify troubleshooting. +description: QuestDB implements enterprise-grade security with TLS, single-sign-on, and role-based access control with fine-grained granularity. --- ## Security + QuestDB implements enterprise-grade security with TLS, single-sign-on, and role-based access control with + fine-grained granularity. + - **Built-in admin and read-only users:** QuestDB includes built-in admin and read-only users for the pgwire protocol and HTTP endpoints using HTTP Basic Auth. diff --git a/documentation/guides/architecture/storage-engine.md b/documentation/guides/architecture/storage-engine.md index c44da42ec..201a3af03 100644 --- a/documentation/guides/architecture/storage-engine.md +++ b/documentation/guides/architecture/storage-engine.md @@ -7,6 +7,10 @@ description: The QuestDB Storage Engine uses a column-oriented design to ensure ## Storage engine +The QuestDB Storage Engine implements a row-based write path for maximum ingestion throughput, and a column-based +read path for maximum query performance. + + ### Parallel Write-Ahead-Log - **Two-phase writes**: All changes to data are recorded in a Write-Ahead-Log (WAL) before they diff --git a/documentation/guides/architecture/time-series-optimizations.md b/documentation/guides/architecture/time-series-optimizations.md index d9eddc18e..49f6065f1 100644 --- a/documentation/guides/architecture/time-series-optimizations.md +++ b/documentation/guides/architecture/time-series-optimizations.md @@ -7,6 +7,9 @@ description: QuestDB is specifically designed for time-series, and it provides s ## Time-series optimizations +QuestDB is specifically designed for time-series, and it provides several optimizations, like a designated timestamp, +sequential reads, materialized-views, or in-memory processing. + ### Designated timestamp - **Timestamp sorting:** From d4a88875c0ed185565c755c61752a1474fa22829 Mon Sep 17 00:00:00 2001 From: javier Date: Wed, 28 May 2025 18:02:32 +0200 Subject: [PATCH 34/35] minor text changes on architecture overview, plus titles and sidebar menu re-sort --- .../guides/active-directory-pingfederate.md | 2 +- documentation/guides/architecture/overview.md | 39 ++++++------- .../guides/microsoft-entraid-oidc.md | 2 +- documentation/sidebars.js | 57 +++++++++---------- 4 files changed, 46 insertions(+), 54 deletions(-) diff --git a/documentation/guides/active-directory-pingfederate.md b/documentation/guides/active-directory-pingfederate.md index 5018ddcea..d9dcb8644 100644 --- a/documentation/guides/active-directory-pingfederate.md +++ b/documentation/guides/active-directory-pingfederate.md @@ -1,5 +1,5 @@ --- -title: Active Directory (PingFederate) guide +title: Active Directory (PingFederate) description: "" --- diff --git a/documentation/guides/architecture/overview.md b/documentation/guides/architecture/overview.md index d0cfd89a1..9f134ac2e 100644 --- a/documentation/guides/architecture/overview.md +++ b/documentation/guides/architecture/overview.md @@ -1,5 +1,5 @@ --- -title: Architecture Overview +title: Overview slug: questdb-architecture description: A deep technical dive into the internal architecture, storage engine, query processing, and native integrations of QuestDB. --- @@ -21,59 +21,54 @@ This document explains QuestDB's internal architecture. QuestDB is comprised of several key components: - **[Storage engine](/docs/guides/architecture/storage-engine):** - The engine uses a column-oriented design to ensure high I/O performance and low latency. + Uses a column-oriented design to ensure high I/O performance and low latency. - **[Memory management and native integration](/docs/guides/architecture/memory-management):** - The system leverages both memory mapping and explicit memory management techniques, - and integrates native code for performance-critical tasks. + The system leverages both memory mapping and explicit memory management techniques,integrating native code for performance-critical tasks. - **[Query engine](/docs/guides/architecture/query-engine):** A custom SQL parser, a just-in-time (JIT) compiler, and a vectorized execution engine process data in table page frames for better CPU use. -- **[Time-series Optimizations](/docs/guides/architecture/time-series-optimizations):** - QuestDB is specifically designed for time-series, and it provides several optimizations, like a - designated timestamp, sequential reads, materialized-views, or in-memory processing. +- **[Time-series optimizations](/docs/guides/architecture/time-series-optimizations):** + QuestDB is specifically designed for time-series, and it provides several optimizations, such as a designated timestamp, sequential reads, materialized views, and in-memory processing. - **[Data ingestion engine](/docs/guides/architecture/data-ingestion):** - The engine supports bulk and streaming ingestion. It writes data to a row-based write-ahead + TSupports both bulk and streaming ingestion. It writes data to a row-based write-ahead log (WAL) and then converts it into a columnar format. In QuestDB Enterprise, the WAL segments - ship to object storage for replication. + are shipped to object storage for replication. - **[Networking layer](/docs/guides/architecture/networking-layer):** - The system exposes RESTful APIs and implements ILP and PostgreSQL wire protocols so that - existing tools and drivers work out-of-the-box. It also offers a health and metrics endpoint. + The system exposes RESTful APIs and implements ILP and PostgreSQL wire protocols to ensure compatibility with existing tools and drivers. It also offers a health and metrics endpoint. - **[Replication layer](/docs/guides/architecture/replication-layer):** - QuestDB Enterprise supports horizontal scalability for reads with read replicas, and for - writes with multi-primary. + QuestDB Enterprise supports horizontal scalability for reads via read replicas, and for + writes via multi-primary configurations. - **[Security](/docs/guides/architecture/security):** - QuestDB implements enterprise-grade security with TLS, single-sign-on, and role-based access control with + QuestDB implements enterprise-grade security with TLS, single sign-on (SSO), and role-based access control with fine-grained granularity. - **[Observability](/docs/guides/architecture/observability):** - QuestDB provides real-time metrics, a health check endpoint, and logging to monitor - performance and simplify troubleshooting. + QuestDB exposes real-time metrics, health checks, and structured logs to monitor performance and streamline diagnostics. - **[Web console](/docs/guides/architecture/web-console):** - The engine includes a web console to run SQL statements, bulk load CSV files, and show - monitoring dashboards. QuestDB Enterprise supports single sign-on (SSO) in the web console. + The engine includes a web console for running SQL statements, bulk loading CSV files, and displaying monitoring dashboards. QuestDB Enterprise supports single sign-on (SSO) in the web console. -## Design patterns & best practices throughout the code base +## Design patterns & best practices throughout the codebase - **Immutable data structures:** The system favors immutability to avoid concurrency issues and simplify state management. - **Modular architecture:** - Each component (storage, query processing, ingestion, etc.) has well-defined interfaces that enhance maintainability. + Each component (eg., storage, query processing, ingestion, etc.) has well-defined interfaces that enhance maintainability and decouple functionality. - **Factory & builder patterns:** - The engine uses these patterns to centralize construction logic for complex objects like SQL execution plans and storage buffers. + These patterns are used to centralize construction logic for complex objects such as SQL execution plans and storage buffers. - **Lazy initialization:** Resource-intensive components initialize only when needed to reduce startup overhead. @@ -81,7 +76,7 @@ QuestDB is comprised of several key components: - **Rigorous testing & benchmarks:** [Unit tests, integration tests](https://github.com/questdb/questdb/tree/master/core/src/test), and performance benchmarks ensure that new enhancements do not compromise - reliability or speed. + reliability or performance. ## Further reading & resources diff --git a/documentation/guides/microsoft-entraid-oidc.md b/documentation/guides/microsoft-entraid-oidc.md index 10107862e..b873b4b18 100644 --- a/documentation/guides/microsoft-entraid-oidc.md +++ b/documentation/guides/microsoft-entraid-oidc.md @@ -1,5 +1,5 @@ --- -title: Microsoft EntraID OIDC guide +title: Microsoft EntraID OIDC description: "QuestDB Enterprise guide to demonstrate Microsoft EntraID OpenID Connect." --- diff --git a/documentation/sidebars.js b/documentation/sidebars.js index 102428871..2f9f55128 100644 --- a/documentation/sidebars.js +++ b/documentation/sidebars.js @@ -493,48 +493,28 @@ module.exports = { label: "Guides & Tutorials", type: "category", items: [ - { - id: "guides/microsoft-entraid-oidc", - label: "Active Directory - Microsoft Entra ID", - type: "doc", - customProps: { tag: "Enterprise" }, - }, - { - id: "guides/active-directory-pingfederate", - label: "Active Directory - PingFederate", - type: "doc", - customProps: { tag: "Enterprise" }, - }, "guides/create-database", + "guides/import-csv", + "guides/mat-views", + "guides/working-with-timestamps-timezones", + "guides/compression-zfs", { id: "guides/enterprise-quick-start", type: "doc", customProps: { tag: "Enterprise" }, }, - "guides/compression-zfs", - "reference/api/java-embedded", - "guides/import-csv", - "guides/mat-views", - "guides/modifying-data", { - label: "QuestDB Architecture", + label: "Active Directory", type: "category", + customProps: { tag: "Enterprise" }, items: [ - "guides/architecture/overview", - "guides/architecture/storage-engine", - "guides/architecture/memory-management", - "guides/architecture/query-engine", - "guides/architecture/time-series-optimizations", - "guides/architecture/data-ingestion-engine", - "guides/architecture/networking-layer", - "guides/architecture/replication-layer", - "guides/architecture/security", - "guides/architecture/observability", - "guides/architecture/web-console" + "guides/microsoft-entraid-oidc", + "guides/active-directory-pingfederate" ] }, "guides/replication-tuning", - "guides/working-with-timestamps-timezones", + "reference/api/java-embedded", + "guides/modifying-data", "web-console", { label: "Blog tutorials 🔗", @@ -572,6 +552,23 @@ module.exports = { "concept/write-ahead-log", ], }, + { + label: "QuestDB Architecture", + type: "category", + items: [ + "guides/architecture/overview", + "guides/architecture/storage-engine", + "guides/architecture/memory-management", + "guides/architecture/query-engine", + "guides/architecture/time-series-optimizations", + "guides/architecture/data-ingestion-engine", + "guides/architecture/networking-layer", + "guides/architecture/replication-layer", + "guides/architecture/security", + "guides/architecture/observability", + "guides/architecture/web-console" + ] + }, { label: "Third-party Tools", type: "category", From 5f1a7a217a517ca9d848734afa9e5c420054b15e Mon Sep 17 00:00:00 2001 From: javier Date: Wed, 28 May 2025 18:11:54 +0200 Subject: [PATCH 35/35] changed architecture sidebar label --- documentation/sidebars.js | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/documentation/sidebars.js b/documentation/sidebars.js index 2f9f55128..be3c7d633 100644 --- a/documentation/sidebars.js +++ b/documentation/sidebars.js @@ -553,7 +553,7 @@ module.exports = { ], }, { - label: "QuestDB Architecture", + label: "Architecture", type: "category", items: [ "guides/architecture/overview",

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