spark-instrumented-optimizer/core
ulysses-you 345c380778 [SPARK-35083][CORE] Support remote scheduler pool files
### What changes were proposed in this pull request?

Use hadoop FileSystem instead of FileInputStream.

### Why are the changes needed?

Make `spark.scheduler.allocation.file` suport remote file. When using Spark as a server (e.g. SparkThriftServer), it's hard for user to specify a local path as the scheduler pool.

### Does this PR introduce _any_ user-facing change?

Yes, a minor feature.

### How was this patch tested?

Pass `core/src/test/scala/org/apache/spark/scheduler/PoolSuite.scala` and manul test
After add config `spark.scheduler.allocation.file=hdfs:///tmp/fairscheduler.xml`. We intrudoce the configed pool.
![pool1](https://user-images.githubusercontent.com/12025282/114810037-df065700-9ddd-11eb-8d7a-54b59a07ee7b.jpg)

Closes #32184 from ulysses-you/SPARK-35083.

Authored-by: ulysses-you <ulyssesyou18@gmail.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
2021-04-16 00:18:35 -07:00
..
benchmarks [SPARK-34950][TESTS] Update benchmark results to the ones created by GitHub Actions machines 2021-04-03 23:02:56 +03:00
src [SPARK-35083][CORE] Support remote scheduler pool files 2021-04-16 00:18:35 -07:00
pom.xml [SPARK-34688][PYTHON] Upgrade to Py4J 0.10.9.2 2021-03-11 09:51:41 -06:00