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Gluten-Trino: Plugin to Boost Trino's Performance

This plugin is still under active development now, and doesn't have a stable release. Welcome to evaluate it. If you encounter any issues or have any suggestions, please submit to our issue list. We'd like to hear your feedback

Overview

Gluten Trino is to enable Velox native compute engine for Trino performance acceleration. This project is based on Trino and Velox. Meanwhile we referred a lot from Prestissimo. We appreciate the excellent work from Trino, Velox and Prestissimo.

Current Status

Current development is based on Trino 411 release.

All TPC-H queries are supported with all plan fragments offloaded. Currently only Hive-connector was supported.

TPC-DS support is ongoing. Q18 is failed and result of some queries are incorrect.

Architecture

Gluten-Trino provides task level native offload mechanism via JNI. We will try to translate trino logical plan fragment into native acceptable formats, if the whole plan node tree are supported to be executed in native side, it will offload, otherwise it will fall back to vanilla Java path to execute. Below is Gluten Trino archtecture diagram.

alt diagram

Plan Fragment Conversion

To minimize develop effort, we reused Prestissimo Plan represenatation and serde framework. Original Prestissmo plan conversion code path is like:

PlanFragment(Prestodb-Java) -> Json -> PlanFragment(Prestissimo) -> PlanFragment(Velox)

Our solution is translate Trino PlanFragment to Presto-like PlanFragment, and reuse later code path.

PlanFragment(Trino-Java) -> PlanFragment(Gluten-Trino-Java, e.g., Prestodb like) -> Json -> PlanFragment(Gluten-Trino-CPP) -> PlanFragment(Velox)

Data Source/Exchange

For data source, we will convert connector/split info and pass to native, leverage Velox connector to fetch data from data source. Currently, only hive connector is supported.

For exchange and output data, we will serialize Velox RowVector to Trino protocol binary data at native side, and Trino java side will wrap this to ByteBuffer and wait for downstream task to pull data. Downstream native exchange node will pull data and deserialize to Velox RowVector.

Getting Started

git clone --recursive https://github.com/oap-project/Gluten-Trino.git
cd Gluten-Trino
# if you are updating an existing checkout
git submodule sync --recursive
git submodule update --init --recursive

Prerequisite

It's verfied on x86_64 Linux build on Ubuntu 20.04 or later.

# python3
$ pip install regex pyyaml chevron clang-format
$ apt-get install jq

Build Gluten CPP

cd ${REPO}/cpp
export TRINO_HOME=/path/to/Gluten-Trino/repo 
make depends # this will install all dependency 
make release

Once build completed, you can get src/libgluten_trino.so under build dir.

Build Gluten Java

cd ${REPO}/java
mvn clean package -DskipTests=True -Dair.check.skip-duplicate-finder=True

Build Docker Container to test

git clone https://github.com/oap-project/Gluten-Trino.git
docker build -t gluten-trino:test -f Gluten-Trino/scripts/Dockerfile .
docker run -it -d -v /path/to/TrinoConfigs:/trino-server-411/etc gluten-trino:test /trino-server-411/bin/launcher start

How to use

  1. Copy libgluten_trino.so to your system LD_LIBRARY_PATH on each worker node.
  2. Modify launcher.py, add Gluten-Trino-{Trino-version}.jar to your classpath, make sure it is the first.
  3. Add the configs below to your config.properties file:
query.launch-native-engine=true 
optimizer.optimize-hash-generation=false 
enable-dynamic-filtering=false
gluten-trino.plugin.dir=/path/to/Gluten-Trino-{Trino-version}.jar
  1. Start Trino server normally.

Contact

Gluten-Trino was initiated by Intel and Alibaba in 2023. If you are interested in Gluten project, please contact below email address for further discussion. [email protected]; [email protected]; [email protected]

Known issue and limitation

Since this repo is a bridge between Trino and Velox, there are some limitations inherited from Velox, like only x86 architecture and hive connector are supported and verified.

Meanwhile, this project is developed based on Trino 411 version, not latest version.

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