README.md

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# Blaze

[![test](https://github.com/blaze-init/blaze/actions/workflows/rust.yml/badge.svg)](https://github.com/blaze-init/blaze/actions/workflows/rust.yml)

The Blaze project aims to provide Spark SQL with a high-performance, low-cost native execution layer.

We seek to solve a series of performance bottlenecks in the current JVM-based Task execution of Spark SQL,
such as high fluctuations in performance due to GC, high memory overhead, and inability to accelerate computation directly with SIMD instructions.

This repo is under active development and is not ready for production (or even development) use, but stay tuned for updates! ☺️


## Overview


## How fast we are, compared to Vanilla Spark


## How to run it

### 1. Build and Run

We could simply build Blaze using:

```bash
./gradlew -Pmode=[debug|release] build
```

Once we have Blaze successfully built, it can be submitted using the `bin/spark-submit` or `bin/spark-sql` script.

```bash
./bin/spark-submit \
  --jar target/blaze-engine-${VERSION}.jar
  ....
```

or

```bash
./bin/spark-sql \
  --jar target/blaze-engine-${VERSION}.jar
  ....
```


### 2. Run using Docker
TBD


## For developers

- [Architectural Overview](./dev/doc/architectural_overview.md)


### Are we TPC-DS yet?
- [ ] Q95