discord9 20dcaa6897 feat: interval& None value for prev&`next (#252)
* test: for builtin functions

* test: expect fail for `datetime()`

* feat: add `interval()` fn(WIP)

* feat: `interval()` fn in builtin(UNTEST)

* refactor: move `py_vec_obj_to_array` to util.rs

* style: fmt

* test: simple `interval()` cases

* test: `interval()` with `last()`&`first()`

* doc: `ts` param of `interval()`

* log: common_telemetry for logging in script crate

* doc: corrsponding test fn for each .ron file

* feat: change to`mpsc` for schedule_job

* test: schedule_job

* dep: rm rustpython dep in common-function

* refactor: mv `schedule_job` into `Script` trait

* test: change to use `interval` to sample datapoint

* feat: add gen_none_array for generate None Array

* feat: impl Missing value for `prev`&`next`

* test: `sum(prev(values))`

* doc: add comment for why not support Float16 in `prev()`

* feat: add `interval` in py side mock module

* style: cargo fmt

* refactor: according to comments

* refactor: extract `apply_interval_function`

* style: cargo fmt

* refactor: remove `schedule()`

* style: cargo fmt
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GreptimeDB

codecov

GreptimeDB: the next-generation hybrid timeseries/analytics processing database in the cloud.

Getting Started

Prerequisites

To compile GreptimeDB from source, you'll need the following:

  • Rust
  • Protobuf
  • OpenSSL

Rust

The easiest way to install Rust is to use rustup, which will check our rust-toolchain file and install correct Rust version for you.

Protobuf

protoc is required for compiling .proto files. protobuf is available from major package manager on macos and linux distributions. You can find an installation instructions here.

OpenSSL

For Ubuntu:

sudo apt install libssl-dev

For RedHat-based: Fedora, Oracle Linux, etc:

sudo dnf install openssl-devel

For macOS:

brew install openssl

Build the Docker Image

docker build --network host -f docker/Dockerfile -t greptimedb .

Usage

Start Datanode

// Start datanode with default options.
cargo run -- datanode start

OR

// Start datanode with `http-addr` option.
cargo run -- datanode start --http-addr=0.0.0.0:9999

OR

// Start datanode with `log-dir` and `log-level` options.
cargo run -- --log-dir=logs --log-level=debug datanode start

Start datanode with config file:

cargo run -- --log-dir=logs --log-level=debug datanode start -c ./config/datanode.example.toml

Start datanode by runing docker container:

docker run -p 3000:3000 \
-p 3001:3001 \
-p 3306:3306 \
greptimedb

Start Frontend

Frontend should connect to Datanode, so Datanode must have been started at first!

// Connects to local Datanode at its default GRPC port: 3001

// Start Frontend with default options.
cargo run -- frontend start

OR

// Start Frontend with `mysql-addr` option.
cargo run -- frontend start --mysql-addr=0.0.0.0:9999

OR

// Start datanode with `log-dir` and `log-level` options.
cargo run -- --log-dir=logs --log-level=debug frontend start

Start datanode with config file:

cargo run -- --log-dir=logs --log-level=debug frontend start -c ./config/frontend.example.toml

SQL Operations

  1. Connecting DB by mysql client:

    # The datanode listen on port 3306 by default.
    mysql -h 127.0.0.1 -P 3306
    
  2. Create table:

    CREATE TABLE monitor (
      host STRING,
      ts BIGINT,
      cpu DOUBLE DEFAULT 0,
      memory DOUBLE,
      TIME INDEX (ts),
      PRIMARY KEY(ts,host)) ENGINE=mito WITH(regions=1);
    
  3. Insert data:

    INSERT INTO monitor(host, cpu, memory, ts) VALUES ('host1', 66.6, 1024, 1660897955);
    INSERT INTO monitor(host, cpu, memory, ts) VALUES ('host2', 77.7, 2048, 1660897956);
    INSERT INTO monitor(host, cpu, memory, ts) VALUES ('host3', 88.8, 4096, 1660897957);
    
  4. Query data:

    mysql> SELECT * FROM monitor;
    +-------+------------+------+--------+
    | host  | ts         | cpu  | memory |
    +-------+------------+------+--------+
    | host1 | 1660897955 | 66.6 |   1024 |
    | host2 | 1660897956 | 77.7 |   2048 |
    | host3 | 1660897957 | 88.8 |   4096 |
    +-------+------------+------+--------+
    3 rows in set (0.01 sec)
    

    You can delete your data by removing /tmp/greptimedb.

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