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CeresDB is a high-performance, distributed, schema-less, cloud native time-series database that can handle both time-series and analytics workloads.

Status

The project is currently under rapid development. This early stage is not production ready and may incur data corruptions.

RoadMap

See our RoadMap

Get started

Clone the repository

Clone this repository using git and enter it:

git clone git@github.com:CeresDB/ceresdb.git
cd ceresdb

Run ceresdb in docker

Ensure that docker is installed in your development environment, and then build the image with the provided Dockerfile:

docker build -t ceresdb .

Start the ceresdb container using the built docker image:

docker run -d -t --name ceresdb -p 5440:5440 -p 8831:8831 ceresdb

Compile and run CeresDB

Install dependencies

In order to compile CeresDB, some relevant dependencies(including the Rust toolchain) should be installed.

Dependencies(Ubuntu20.04)

Assuming the development environment is Ubuntu20.04, execute the following command to install the required dependencies:

apt install git curl gcc g++ libssl-dev pkg-config cmake

It should be noted that the compilation of the project has version requirements for dependencies such as cmake, gcc, g++, etc. If your development environment is an old Linux distribution, it is necessary to manually install these dependencies of a higher version.

Rust

Rust can be installed by rustup. After installing rustup, when entering the CeresDB project, the specified Rust version will be automatically downloaded according to the rust-toolchain file.

After execution, you need to add environment variables to use the Rust toolchain. Basically, just put the following commands into your ~/.bashrc or ~/.bash_profile:

source $HOME/.cargo/env

Compile and run

Compile CeresDB by the following command:

cargo build --release

Then you can run CeresDB using the default configuration file provided in the codebase.

./target/release/ceresdb-server --config ./docs/example.toml

Write and read data

CeresDB supports custom extended SQL protocol. Currently, you can create tables and read/write data with SQL statements through http service.

Create table

curl --location --request POST 'http://127.0.0.1:5440/sql' \
--header 'Content-Type: application/json' \
--data-raw '{
    "query": "CREATE TABLE `demo` (`name` string TAG, `value` double NOT NULL, `t` timestamp NOT NULL, TIMESTAMP KEY(t)) ENGINE=Analytic with (enable_ttl='\''false'\'')"
}'

Write data

curl --location --request POST 'http://127.0.0.1:5440/sql' \
--header 'Content-Type: application/json' \
--data-raw '{
    "query": "INSERT INTO demo(t, name, value) VALUES(1651737067000, '\''ceresdb'\'', 100)"
}'

Read data

curl --location --request POST 'http://127.0.0.1:5440/sql' \
--header 'Content-Type: application/json' \
--data-raw '{
    "query": "select * from demo"
}'

Show create table

curl --location --request POST 'http://127.0.0.1:5440/sql' \
--header 'Content-Type: application/json' \
--data-raw '{
    "query": "show create table demo"
}'

Drop table

curl --location --request POST 'http://127.0.0.1:5440/sql' \
--header 'Content-Type: application/json' \
--data-raw '{
    "query": "DROP TABLE demo"
}'

Platform Support

target	OS	status
x86_64-unknown-linux-gnu	kernel 4.9+	able to build and run
x86_64-apple-darwin	10.15+, Catalina+	able to build
aarch64-apple-darwin	11+, Big Sur+	able to build
aarch64-unknown-linux-gnu	TBD	tracked on #63
*-windows	*	not support

Contributing

Any contribution is welcome!

Read our Contributing Guide and make your first contribution!

Architecture and Technical Documentation

Our technical documents(still under writing and polishing) describes critical parts of ceresdb in the docs.

Acknowledgment

Some design of CeresDB references influxdb_iox, and some specific module implementations reference tikv and other excellent open source projects, thanks to InfluxDB, TiKV, and any other referenced great open source projects.

Licensing

CeresDB is under Apache License 2.0.

Community and support

• Check our community roles
• Join the user group on Slack
• Contact us via Email: ceresdbservice@gmail.com
• WeChat group QR code
• Join the user group on DingTalk: 44602802