[KYUUBI #404 ] How To Use Spark Dynamic Resource Allocation (DRA) in Kyuubi

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### _How was this patch tested?_
- [ ] Add some test cases that check the changes thoroughly including negative and positive cases if possible

- [ ] Add screenshots for manual tests if appropriate

- [x] [Run test](https://kyuubi.readthedocs.io/en/latest/tools/testing.html#running-tests) locally before make a pull request

Closes #404 from yaooqinn/dra.

b8b755c [Kent Yao] How To Use Spark Dynamic Resource Allocation (DRA) in Kyuubi
9bb47b1 [Kent Yao] How To Use Spark Dynamic Resource Allocation (DRA) in Kyuubi
e786787 [Kent Yao] How To Use Spark Dynamic Resource Allocation (DRA) in Kyuubi

Authored-by: Kent Yao <yao@apache.org>
Signed-off-by: Kent Yao <yao@apache.org>

2021-03-08 18:27:49 +08:00

1.7 KiB

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Building Kyuubi

Building Kyuubi with Apache Maven

Kyuubi is built based on Apache Maven,

./build/mvn clean package -DskipTests

This results in the creation of all sub-modules of Kyuubi project without running any unit test.

If you want to test it manually, you can start Kyuubi directly from the Kyuubi project root by running

bin/kyuubi start

Building a Submodule Individually

For instance, you can build the Kyuubi Common module using:

build/mvn clean package -pl :kyuubi-common -DskipTests

Building Submodules Individually

For instance, you can build the Kyuubi Common module using:

build/mvn clean package -pl :kyuubi-common,:kyuubi-ha -DskipTests

Skipping Some modules

For instance, you can build the Kyuubi modules without Kyuubi Codecov and Assembly modules using:

 mvn clean install -pl '!:kyuubi-codecov,!:kyuubi-assembly' -DskipTests

Building Kyuubi against Different Apache Spark versions

Since v1.1.0, Kyuubi support building with different Spark profiles,

Profile	Default	Since
-Pspark-3.0	Yes	1.0.0
-Pspark-3.1	No	1.1.0

Defining the Apache Mirror for Spark

By default, we use https://archive.apache.org/dist/spark/ to download the built-in Spark release package, but if you find it hard to reach, or the downloading speed is too slow, you can define the spark.archive.mirror property to a suitable Apache mirror site. For instance,

build/mvn clean package -Dspark.archive.mirror=https://mirrors.bfsu.edu.cn/apache/spark/spark-3.0.1

Visit Apache Mirrors and choose a mirror based on your region.

1.7 KiB Raw Blame History