### _Why are the changes needed?_ Add Docs for kyuubi tools spark-block-cleaner. * Explain the parameters * Introduction to basic startup * Give an example ### _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 #815 from zwangsheng/doc/spark_block_cleaner. Closes #815 1ec6795f [Binjie Yang] delete todo bbf4d6e2 [Binjie Yang] make it common 9cf3e159 [Binjie Yang] format 0803995a [Binjie Yang] straighten out the article f834b382 [Binjie Yang] refactor 25be318f [Binjie Yang] fix 7304e595 [Binjie Yang] docs for spark-block-cleaner Authored-by: Binjie Yang <2213335496@qq.com> Signed-off-by: ulysses-you <ulyssesyou18@gmail.com>
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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.
Specifically for developers in China mainland, you can use the pre-defined profile named mirror-cn which use
mirrors.bfsu.edu.cn to speed up Spark Binary downloading. For instance,
build/mvn clean package -Pmirror-cn
