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time-series database

Features:

  • ACID compliant
  • high performance
  • multi-threaded
  • query cache
  • B-Tree index
  • sorted array index (bin-search)
  • one scalar per data-point
  • aggregate functions
  • WHERE on timestamp
  • WHERE on value
  • GROUP BY support on timestamp
  • textual command interface
  • binary command interface
  • multiple scalars (tuples) per data-point
  • old data downsampling
  • old data deletion
  • auth: name & password
  • ssl / tls

ACID

Data structure

Data points are organized into individual Series. These series are independent of each other and can have different data-values with different timestamps. Each Series has a name and data schema associated with it.

Schema of the Series dictates how are the data points encoded on the disk.

Data points in one Series are split into multiple Blocks. Each block has a size of 4096 bytes. These block form a log-structured merge-tree. Multiple blocks (2048) are stored in one file. During the application execution some blocks are loaded in memory (cached). All blocks are stored on disk.

The database also stores Index which is used to speed up queries on the data. Index object stores lowest and highest timestamp for each block. There is one Index for each Series object. Also the index is stored in one file and it is loaded in memory at all times.

Schemas

Currently these schemas are supported: f32.

Planned schemas: f32, i32, f64, i64, bool.

f32
  • Timestamp encoding: delta-encoded LEB128 varints
  • Value encoding: low-endian without any compression
i32
  • Timestamp encoding: delta-encoded LEB128 varints
  • Value encoding: delta-encoded LEB128 varints
bool
  • Timestamp encoding: delta-encoded LEB128 varints
  • Value encoding: One boolean takes one bit.

Operations on the data

Database provides following operations on the data.

Create series

Creates a new Series object in the database.

CREATE SERIES {series} {schema}
CREATE SERIES outdoor_sunlight f32
{
  "CreateSeries": "default"
}

List series

Returns a list of all available series inside the database.

SHOW SERIES

Insert value

Inserts a specified value to the specified time Series object.

INSERT INTO {series} {value}
INSERT INTO outdoor_sunlight 4806.0
{
  "Insert": {
    "to": "default",
    "value": 3.14
  }
}

Query values

Gets all data points inside the specified Series object in specified range of time.

SELECT {series} BETWEEN {start_timestamp} AND {end_timestamp}
SELECT outdoor_sunlight BETWEEN 01-01-2019 AND 02-01-2019
{
  "Select": {
    "from": "default",
    "between": {
      "min": null,
      "max": null
    }
  }
}

It is also possible to query result of running an aggregate function on specified range data points in the specified Series object.

SELECT [AVG/SUM/MAX/MIN/COUNT] {series} BETWEEN {start_timestamp} AND {end_timestamp} GROUP BY [MINUTE/HOUR/DAY/WEEK/MONTH]
SELECT AVG outdoor_sunlight BETWEEN 01-01-2019 AND 02-01-2019 GROUP BY HOUR

About

Implementing time-series database in Rust for education and fun!

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