evenyag 53637c90fd feat: Support projection (#192)
* feat: Add projected schema

* feat: Use projected schema to read sst

* feat: Use vector of column to implement Batch

* feat: Use projected schema to convert batch to chunk

* feat: Add no_projection() to build ProjectedSchema

* feat: Memtable supports projection

The btree memtable use `is_needed()` to filter unneeded value columns,
then use `ProjectedSchema::batch_from_parts()` to construct
batch, so it don't need to known the layout of internal columns.

* test: Add tests for ProjectedSchema

* test: Add tests for ProjectedSchema

Also returns error if the `projected_columns` used to build the
`ProjectedSchema` is empty.

* test: Add test for memtable projection

* feat: Table pass projection to storage engine

* fix: Use timestamp column name as schema metadata

This fix the issue that the metadata refer to the wrong timestamp column
if datafusion reorder the fields of the arrow schema.

* fix: Fix projected schema not passed to memtable

* feat: Add tests for region projection

* chore: fix clippy

* test: Add test for unordered projection

* chore: Move projected_schema to ReadOptions

Also fix some typo
2022-08-25 15:27:47 +08:00
2022-08-25 15:27:47 +08:00
2022-07-07 15:54:34 +08:00

GreptimeDB

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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

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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