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[KYUUBI #389] Bump up curator to 2.12.0

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### _Why are the changes needed?_
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Please clarify why the changes are needed. For instance,
  1. If you add a feature, you can talk about the use case of it.
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2.12.0 is the last update for curator-test to support zk v3.4.x

### _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

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

Closes #389 from yaooqinn/curator.

0b12323 [Kent Yao] Bump up curator to 2.12.0

Authored-by: Kent Yao <yao@apache.org>
Signed-off-by: Cheng Pan <379377944@qq.com>
This commit is contained in:
Kent Yao 2021-03-03 19:37:59 +08:00 committed by Cheng Pan
parent 3d0f050034
commit f83faa8356
2 changed files with 1 additions and 28 deletions
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27
docs/deployment/settings.md
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@ -140,19 +140,6 @@ You can configure the Kyuubi properties in `$KYUUBI_HOME/conf/kyuubi-defaults.co
# spark.scheduler.listenerbus.eventqueue.shared.capacity 100000
# spark.scheduler.listenerbus.eventqueue.eventLog.capacity 20000
## Dynamic Allocation
# spark.dynamicAllocation.enabled true
# spark.dynamicAllocation.initialExecutors 10
# spark.dynamicAllocation.minExecutors 10
# spark.dynamicAllocation.maxExecutors 500
# spark.dynamicAllocation.executorAllocationRatio 0.8
# spark.dynamicAllocation.executorIdleTimeout 60s
# spark.dynamicAllocation.cachedExecutorIdleTimeout 1h
# spark.dynamicAllocation.shuffleTracking.enabled false
# spark.dynamicAllocation.shuffleTracking.timeout 30min
# spark.dynamicAllocation.schedulerBacklogTimeout 1s
# spark.dynamicAllocation.sustainedSchedulerBacklogTimeout 1s
## External Shuffle Service
# spark.shuffle.service.enabled true
# spark.shuffle.service.fetch.rdd.enabled true
@ -224,20 +211,6 @@ You can configure the Kyuubi properties in `$KYUUBI_HOME/conf/kyuubi-defaults.co
# spark.sql.optimizer.dynamicPartitionPruning.fallbackFilterRatio 0.5
# spark.sql.optimizer.dynamicPartitionPruning.reuseBroadcastOnly true
# Adaptive Query Execution
# spark.sql.adaptive.enabled true
# spark.sql.adaptive.forceApply false
# spark.sql.adaptive.logLevel info
# spark.sql.adaptive.advisoryPartitionSizeInBytes 128m
# spark.sql.adaptive.coalescePartitions.enabled true
# spark.sql.adaptive.coalescePartitions.minPartitionNum 64
# spark.sql.adaptive.coalescePartitions.initialPartitionNum
# spark.sql.adaptive.fetchShuffleBlocksInBatch true
# spark.sql.adaptive.localShuffleReader.enabled true
# spark.sql.adaptive.skewJoin.enabled true
# spark.sql.adaptive.skewJoin.skewedPartitionFactor 5
# spark.sql.adaptive.skewJoin.skewedPartitionThresholdInBytes 256m
# spark.sql.adaptive.nonEmptyPartitionRatioForBroadcastJoin 0.2
```
### Authentication

2
pom.xml
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@ -64,7 +64,7 @@
<commons.httpclient.version>4.5.6</commons.httpclient.version>
<commons.httpcore.version>4.4.12</commons.httpcore.version>
<guava.version>11.0.2</guava.version>
<curator.version>2.7.1</curator.version>
<curator.version>2.12.0</curator.version>
<hadoop.version>2.7.4</hadoop.version>
<hive.version>2.3.7</hive.version>
<netty3.version>3.7.0.Final</netty3.version>