bkbase-plugin/iceberg

Apache Iceberg

iceberg's Issues

Hive: 设置iceberg表commit时hive metastore check lock超时机制

hive metastore在高并发场景下可能因为获取锁的请求堆积而导致处理能力下降，进而可能雪崩导致iceberg表commit成功次数陡降。为了消峰，避免hive metastore雪崩，当发现iceberg表commit过程中metastore client处理一个请求的耗时超出阈值时，中断此次commit操作，避免给hive metastore增加更多的工作负载。

RewriteDataFilesAction允许重写仅有一个数据文件的分区

在v2版本的表中，可能存在删除文件和仅有一个数据文件的分区关联，此时应该允许重写此分区的数据文件，以便将删除文件合入。

Spark: fix spark extension test failure

Task :iceberg-spark3-extensions:test

org.apache.iceberg.spark.extensions.TestCopyOnWriteDelete > testDeleteFromEmptyTable[catalogName = testhive, implementation = org.apache.iceberg.spark.SparkCatalog, config = {type=hive, default-namespace=default}, format = orc, vectorized = true] FAILED
    java.lang.AssertionError: Should have 2 snapshots expected:<2> but was:<0>

org.apache.iceberg.spark.extensions.TestCopyOnWriteDelete > testDeleteNonExistingRecords[catalogName = testhive, implementation = org.apache.iceberg.spark.SparkCatalog, config = {type=hive, default-namespace=default}, format = orc, vectorized = true] FAILED
    java.lang.AssertionError: Should have 2 snapshots expected:<2> but was:<1>

org.apache.iceberg.spark.extensions.TestCopyOnWriteDelete > testDeleteFromEmptyTable[catalogName = testhadoop, implementation = org.apache.iceberg.spark.SparkCatalog, config = {type=hadoop}, format = parquet, vectorized = true] FAILED
    java.lang.AssertionError: Should have 2 snapshots expected:<2> but was:<0>

org.apache.iceberg.spark.extensions.TestCopyOnWriteDelete > testDeleteNonExistingRecords[catalogName = testhadoop, implementation = org.apache.iceberg.spark.SparkCatalog, config = {type=hadoop}, format = parquet, vectorized = true] FAILED
    java.lang.AssertionError: Should have 2 snapshots expected:<2> but was:<1>

org.apache.iceberg.spark.extensions.TestCopyOnWriteDelete > testDeleteFromEmptyTable[catalogName = spark_catalog, implementation = org.apache.iceberg.spark.SparkSessionCatalog, config = {type=hive, default-namespace=default, clients=1, parquet-enabled=false, cache-enabled=false}, format = avro, vectorized = false] FAILED
    java.lang.AssertionError: Should have 2 snapshots expected:<2> but was:<0>

org.apache.iceberg.spark.extensions.TestCopyOnWriteDelete > testDeleteNonExistingRecords[catalogName = spark_catalog, implementation = org.apache.iceberg.spark.SparkSessionCatalog, config = {type=hive, default-namespace=default, clients=1, parquet-enabled=false, cache-enabled=false}, format = avro, vectorized = false] FAILED
    java.lang.AssertionError: Should have 2 snapshots expected:<2> but was:<1>

org.apache.iceberg.spark.extensions.TestCopyOnWriteUpdate > testUpdateNonExistingRecords[catalogName = testhive, implementation = org.apache.iceberg.spark.SparkCatalog, config = {type=hive, default-namespace=default}, format = orc, vectorized = true] FAILED
    java.lang.AssertionError: Should have 2 snapshots expected:<2> but was:<1>

org.apache.iceberg.spark.extensions.TestCopyOnWriteUpdate > testUpdateEmptyTable[catalogName = testhive, implementation = org.apache.iceberg.spark.SparkCatalog, config = {type=hive, default-namespace=default}, format = orc, vectorized = true] FAILED
    java.lang.AssertionError: Should have 2 snapshots expected:<2> but was:<0>

org.apache.iceberg.spark.extensions.TestCopyOnWriteUpdate > testUpdateNonExistingRecords[catalogName = testhadoop, implementation = org.apache.iceberg.spark.SparkCatalog, config = {type=hadoop}, format = parquet, vectorized = false] FAILED
    java.lang.AssertionError: Should have 2 snapshots expected:<2> but was:<1>

org.apache.iceberg.spark.extensions.TestCopyOnWriteUpdate > testUpdateEmptyTable[catalogName = testhadoop, implementation = org.apache.iceberg.spark.SparkCatalog, config = {type=hadoop}, format = parquet, vectorized = false] FAILED
    java.lang.AssertionError: Should have 2 snapshots expected:<2> but was:<0>

org.apache.iceberg.spark.extensions.TestCopyOnWriteUpdate > testUpdateNonExistingRecords[catalogName = spark_catalog, implementation = org.apache.iceberg.spark.SparkSessionCatalog, config = {type=hive, default-namespace=default, clients=1, parquet-enabled=false, cache-enabled=false}, format = avro, vectorized = false] FAILED
    java.lang.AssertionError: Should have 2 snapshots expected:<2> but was:<1>

org.apache.iceberg.spark.extensions.TestCopyOnWriteUpdate > testUpdateEmptyTable[catalogName = spark_catalog, implementation = org.apache.iceberg.spark.SparkSessionCatalog, config = {type=hive, default-namespace=default, clients=1, parquet-enabled=false, cache-enabled=false}, format = avro, vectorized = false] FAILED
    java.lang.AssertionError: Should have 2 snapshots expected:<2> but was:<0>

minor: release version 0.12.1-bkbase.3

Parquet: Fix row group filters with promoted types #2232

Parquet: Fix row group filters with promoted types apache#2232

row delta delete files were dropped in sequential commits after table format updated to v2

I have one v1 table with some data files, after updating it to v2 and added some row delta deletes, it works fine.

But when I delete some data files to expire data, the row delta delete-files were dropped somehow. This doesn't happen in the first commit, it happens in the second commit as the first commit wrote wrong min data sequence number in manifest.

Allow fetching flink job id from environment

flink的k8s的native application模式提交的一个flink集群上只有一个job。
flink框架里写死了job id是00000000000000000000000000000000，导致无法区分数据是由那个k8s的pod写入的，不方便查看日志定位问题。
这里支持从flink环境变量里获取jobid的值，写入commit的消息里。

minor: 设置版本0.9.0-bkbase.3

minor: 设置版本0.9.0-bkbase.3

feature: 合并0.12.1代码

Hive: HiveCatalog listTables takes minutes if there are thousands tables in namespace

when we update iceberg 0.9.0 to 0.12.1, we found an issue that HiveCatalog#listTables(Namespace) takes minutes in 0.12.1 in our production env, compared to ~0.1s in 0.9.0.

In our production, this method takes 28s for one namespace contains 517 tables, 75s for one namespace contains 1301 tables, more than half an hour for one namespace with 27000+ tables.

Spark: skip empty dataset in append and overwrite mode

In 0.12.1, write empty dataset by Spark append mode will result in an empty snapshot created, write empty dataset by Spark overwrite mode will result in an exception below:

org.apache.spark.SparkException: Writing job aborted.

	at org.apache.spark.sql.execution.datasources.v2.WriteToDataSourceV2Exec.doExecute(WriteToDataSourceV2Exec.scala:92)
	at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:131)
	at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:127)
	at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:155)
	at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
	at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152)
	at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127)
	at org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:80)
	at org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:80)
	at org.apache.spark.sql.DataFrameWriter$$anonfun$runCommand$1.apply(DataFrameWriter.scala:676)
	at org.apache.spark.sql.DataFrameWriter$$anonfun$runCommand$1.apply(DataFrameWriter.scala:676)
	at org.apache.spark.sql.execution.SQLExecution$$anonfun$withNewExecutionId$1.apply(SQLExecution.scala:78)
	at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:125)
	at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:73)
	at org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:676)
	at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:260)
	at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:229)
	at com.tencent.bk.base.datahub.iceberg.SparkUtils.writeTable(SparkUtils.java:248)
	at com.tencent.bk.base.datahub.iceberg.TestSparkUtils.testWriteEmptyDs(TestSparkUtils.java:223)
	at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
	at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
	at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
	at java.lang.reflect.Method.invoke(Method.java:498)
	at org.junit.runners.model.FrameworkMethod$1.runReflectiveCall(FrameworkMethod.java:50)
	at org.junit.internal.runners.model.ReflectiveCallable.run(ReflectiveCallable.java:12)
	at org.junit.runners.model.FrameworkMethod.invokeExplosively(FrameworkMethod.java:47)
	at org.junit.internal.runners.statements.InvokeMethod.evaluate(InvokeMethod.java:17)
	at org.junit.runners.ParentRunner.runLeaf(ParentRunner.java:325)
	at org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:78)
	at org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:57)
	at org.junit.runners.ParentRunner$3.run(ParentRunner.java:290)
	at org.junit.runners.ParentRunner$1.schedule(ParentRunner.java:71)
	at org.junit.runners.ParentRunner.runChildren(ParentRunner.java:288)
	at org.junit.runners.ParentRunner.access$000(ParentRunner.java:58)
	at org.junit.runners.ParentRunner$2.evaluate(ParentRunner.java:268)
	at org.junit.internal.runners.statements.RunBefores.evaluate(RunBefores.java:26)
	at org.junit.internal.runners.statements.RunAfters.evaluate(RunAfters.java:27)
	at org.junit.runners.ParentRunner.run(ParentRunner.java:363)
	at org.junit.runner.JUnitCore.run(JUnitCore.java:137)
	at com.intellij.junit4.JUnit4IdeaTestRunner.startRunnerWithArgs(JUnit4IdeaTestRunner.java:68)
	at com.intellij.rt.junit.IdeaTestRunner$Repeater.startRunnerWithArgs(IdeaTestRunner.java:33)
	at com.intellij.rt.junit.JUnitStarter.prepareStreamsAndStart(JUnitStarter.java:230)
	at com.intellij.rt.junit.JUnitStarter.main(JUnitStarter.java:58)
Caused by: java.lang.IllegalStateException: Cannot determine partition spec: no data or delete files have been added
	at org.apache.iceberg.relocated.com.google.common.base.Preconditions.checkState(Preconditions.java:508)
	at org.apache.iceberg.MergingSnapshotProducer.writeSpec(MergingSnapshotProducer.java:121)
	at org.apache.iceberg.BaseReplacePartitions.apply(BaseReplacePartitions.java:58)
	at org.apache.iceberg.SnapshotProducer.apply(SnapshotProducer.java:164)
	at org.apache.iceberg.BaseReplacePartitions.apply(BaseReplacePartitions.java:26)
	at org.apache.iceberg.SnapshotProducer.lambda$commit$2(SnapshotProducer.java:283)
	at org.apache.iceberg.util.Tasks$Builder.runTaskWithRetry(Tasks.java:405)
	at org.apache.iceberg.util.Tasks$Builder.runSingleThreaded(Tasks.java:214)
	at org.apache.iceberg.util.Tasks$Builder.run(Tasks.java:198)
	at org.apache.iceberg.util.Tasks$Builder.run(Tasks.java:190)
	at org.apache.iceberg.SnapshotProducer.commit(SnapshotProducer.java:282)
	at org.apache.iceberg.BaseReplacePartitions.commit(BaseReplacePartitions.java:26)
	at org.apache.iceberg.spark.source.Writer.commitOperation(Writer.java:169)
	at org.apache.iceberg.spark.source.Writer.replacePartitions(Writer.java:195)
	at org.apache.iceberg.spark.source.Writer.commit(Writer.java:145)
	at org.apache.spark.sql.execution.datasources.v2.WriteToDataSourceV2Exec.doExecute(WriteToDataSourceV2Exec.scala:76)
	... 42 more

minor: release version 0.12.1-bkbase.2

release 0.12.1-bkbase.2

Hive: fix HiveTableTest#testListTables failure

> Task :iceberg-hive-metastore:test

org.apache.iceberg.hive.HiveTableTest > testListTables FAILED
    java.lang.AssertionError: should only 1 iceberg table . expected:<1> but was:<2>
        at org.junit.Assert.fail(Assert.java:89)
        at org.junit.Assert.failNotEquals(Assert.java:835)
        at org.junit.Assert.assertEquals(Assert.java:647)
        at org.apache.iceberg.hive.HiveTableTest.testListTables(HiveTableTest.java:326)

release version 0.13.1-bkbase.1

minor: release version 0.12.1-bkbase.1

change project group to com.tencent.bk.base.datahub and set version to 0.12.1-bkbase.1

Flink: stream rewrite failed in some cases

2022-05-13 11:18:17,872 INFO  org.apache.iceberg.flink.sink.IcebergRewriteFilesCommitter   [] - Committing rewrite file groups of table iceberg_hive_catalog.iceberg_2005000727.mysqlcdc_van_7010_2005000727: RewriteResult{partitions=[PartitionData{id_trunc=1200000, ____et_month=626}], startingSnapshotId=8635809729983299546, numRewrittenFiles=2, numAddedFiles=1}.
2022-05-13 11:18:18,254 ERROR org.apache.iceberg.flink.sink.IcebergRewriteFilesCommitter   [] - Cannot commit rewrite file groups, attempting to clean up written files.
org.apache.iceberg.exceptions.ValidationException: Missing required files to delete: hdfs://testOnline/data/iceberg/warehouse/iceberg_2005000727.db/mysqlcdc_van_7010_2005000727/data/id_trunc=1200000/____et_month=2022-03/00000-0-f95888c5-64e0-4747-82fa-81cc533ec8d9-00057.parquet,hdfs://testOnline/data/iceberg/warehouse/iceberg_2005000727.db/mysqlcdc_van_7010_2005000727/data/id_trunc=1200000/____et_month=2022-03/00000-0-f95888c5-64e0-4747-82fa-81cc533ec8d9-00059.parquet
        at org.apache.iceberg.exceptions.ValidationException.check(ValidationException.java:46) ~[blob_p-18eaa50b994da682c46635771ae4356412f1b414-6517ea91cf6e0520f8de477c5dbe5f6a:?]
        at org.apache.iceberg.ManifestFilterManager.validateRequiredDeletes(ManifestFilterManager.java:227) ~[blob_p-18eaa50b994da682c46635771ae4356412f1b414-6517ea91cf6e0520f8de477c5dbe5f6a:?]
        at org.apache.iceberg.ManifestFilterManager.filterManifests(ManifestFilterManager.java:190) ~[blob_p-18eaa50b994da682c46635771ae4356412f1b414-6517ea91cf6e0520f8de477c5dbe5f6a:?]
        at org.apache.iceberg.MergingSnapshotProducer.apply(MergingSnapshotProducer.java:517) ~[blob_p-18eaa50b994da682c46635771ae4356412f1b414-6517ea91cf6e0520f8de477c5dbe5f6a:?]
        at org.apache.iceberg.SnapshotProducer.apply(SnapshotProducer.java:164) ~[blob_p-18eaa50b994da682c46635771ae4356412f1b414-6517ea91cf6e0520f8de477c5dbe5f6a:?]
        at org.apache.iceberg.SnapshotProducer.lambda$commit$2(SnapshotProducer.java:283) ~[blob_p-18eaa50b994da682c46635771ae4356412f1b414-6517ea91cf6e0520f8de477c5dbe5f6a:?]
        at org.apache.iceberg.util.Tasks$Builder.runTaskWithRetry(Tasks.java:404) ~[blob_p-18eaa50b994da682c46635771ae4356412f1b414-6517ea91cf6e0520f8de477c5dbe5f6a:?]
        at org.apache.iceberg.util.Tasks$Builder.runSingleThreaded(Tasks.java:214) ~[blob_p-18eaa50b994da682c46635771ae4356412f1b414-6517ea91cf6e0520f8de477c5dbe5f6a:?]
        at org.apache.iceberg.util.Tasks$Builder.run(Tasks.java:198) ~[blob_p-18eaa50b994da682c46635771ae4356412f1b414-6517ea91cf6e0520f8de477c5dbe5f6a:?]
        at org.apache.iceberg.util.Tasks$Builder.run(Tasks.java:190) ~[blob_p-18eaa50b994da682c46635771ae4356412f1b414-6517ea91cf6e0520f8de477c5dbe5f6a:?]
        at org.apache.iceberg.SnapshotProducer.commit(SnapshotProducer.java:282) ~[blob_p-18eaa50b994da682c46635771ae4356412f1b414-6517ea91cf6e0520f8de477c5dbe5f6a:?]
        at org.apache.iceberg.flink.sink.IcebergRewriteFilesCommitter.commitRewriteResult(IcebergRewriteFilesCommitter.java:104) ~[blob_p-18eaa50b994da682c46635771ae4356412f1b414-6517ea91cf6e0520f8de477c5dbe5f6a:?]
        at org.apache.iceberg.flink.sink.IcebergRewriteFilesCommitter.commitRewriteResults(IcebergRewriteFilesCommitter.java:90) ~[blob_p-18eaa50b994da682c46635771ae4356412f1b414-6517ea91cf6e0520f8de477c5dbe5f6a:?]
        at org.apache.iceberg.flink.sink.IcebergRewriteFilesCommitter.snapshotState(IcebergRewriteFilesCommitter.java:72) ~[blob_p-18eaa50b994da682c46635771ae4356412f1b414-6517ea91cf6e0520f8de477c5dbe5f6a:?]
        at org.apache.flink.streaming.api.operators.StreamOperatorStateHandler.snapshotState(StreamOperatorStateHandler.java:219) ~[flink-dist_2.11-1.14.3.jar:1.14.3]
        at org.apache.flink.streaming.api.operators.StreamOperatorStateHandler.snapshotState(StreamOperatorStateHandler.java:170) ~[flink-dist_2.11-1.14.3.jar:1.14.3]
        at org.apache.flink.streaming.api.operators.AbstractStreamOperator.snapshotState(AbstractStreamOperator.java:348) ~[flink-dist_2.11-1.14.3.jar:1.14.3]
        at org.apache.flink.streaming.runtime.tasks.RegularOperatorChain.checkpointStreamOperator(RegularOperatorChain.java:233) ~[flink-dist_2.11-1.14.3.jar:1.14.3]
        at org.apache.flink.streaming.runtime.tasks.RegularOperatorChain.buildOperatorSnapshotFutures(RegularOperatorChain.java:206) ~[flink-dist_2.11-1.14.3.jar:1.14.3]
        at org.apache.flink.streaming.runtime.tasks.RegularOperatorChain.snapshotState(RegularOperatorChain.java:186) ~[flink-dist_2.11-1.14.3.jar:1.14.3]
        at org.apache.flink.streaming.runtime.tasks.SubtaskCheckpointCoordinatorImpl.takeSnapshotSync(SubtaskCheckpointCoordinatorImpl.java:605) ~[flink-dist_2.11-1.14.3.jar:1.14.3]
        at org.apache.flink.streaming.runtime.tasks.SubtaskCheckpointCoordinatorImpl.checkpointState(SubtaskCheckpointCoordinatorImpl.java:315) ~[flink-dist_2.11-1.14.3.jar:1.14.3]
        at org.apache.flink.streaming.runtime.tasks.StreamTask.lambda$performCheckpoint$14(StreamTask.java:1329) ~[flink-dist_2.11-1.14.3.jar:1.14.3]
        at org.apache.flink.streaming.runtime.tasks.StreamTaskActionExecutor$1.runThrowing(StreamTaskActionExecutor.java:50) ~[flink-dist_2.11-1.14.3.jar:1.14.3]
        at org.apache.flink.streaming.runtime.tasks.StreamTask.performCheckpoint(StreamTask.java:1315) ~[flink-dist_2.11-1.14.3.jar:1.14.3]
        at org.apache.flink.streaming.runtime.tasks.StreamTask.triggerCheckpointOnBarrier(StreamTask.java:1258) ~[flink-dist_2.11-1.14.3.jar:1.14.3]
        at org.apache.flink.streaming.runtime.io.checkpointing.CheckpointBarrierHandler.notifyCheckpoint(CheckpointBarrierHandler.java:147) ~[flink-dist_2.11-1.14.3.jar:1.14.3]
        at org.apache.flink.streaming.runtime.io.checkpointing.SingleCheckpointBarrierHandler.triggerCheckpoint(SingleCheckpointBarrierHandler.java:287) ~[flink-dist_2.11-1.14.3.jar:1.14.3]
        at org.apache.flink.streaming.runtime.io.checkpointing.SingleCheckpointBarrierHandler.access$100(SingleCheckpointBarrierHandler.java:64) ~[flink-dist_2.11-1.14.3.jar:1.14.3]
        at org.apache.flink.streaming.runtime.io.checkpointing.SingleCheckpointBarrierHandler$ControllerImpl.triggerGlobalCheckpoint(SingleCheckpointBarrierHandler.java:493) ~[flink-dist_2.11-1.14.3.jar:1.14.3]
        at org.apache.flink.streaming.runtime.io.checkpointing.AbstractAlignedBarrierHandlerState.triggerGlobalCheckpoint(AbstractAlignedBarrierHandlerState.java:74) ~[flink-dist_2.11-1.14.3.jar:1.14.3]
        at org.apache.flink.streaming.runtime.io.checkpointing.AbstractAlignedBarrierHandlerState.barrierReceived(AbstractAlignedBarrierHandlerState.java:66) ~[flink-dist_2.11-1.14.3.jar:1.14.3]
        at org.apache.flink.streaming.runtime.io.checkpointing.SingleCheckpointBarrierHandler.lambda$processBarrier$2(SingleCheckpointBarrierHandler.java:234) ~[flink-dist_2.11-1.14.3.jar:1.14.3]
        at org.apache.flink.streaming.runtime.io.checkpointing.SingleCheckpointBarrierHandler.markCheckpointAlignedAndTransformState(SingleCheckpointBarrierHandler.java:262) ~[flink-dist_2.11-1.14.3.jar:1.14.3]
        at org.apache.flink.streaming.runtime.io.checkpointing.SingleCheckpointBarrierHandler.processBarrier(SingleCheckpointBarrierHandler.java:231) ~[flink-dist_2.11-1.14.3.jar:1.14.3]
        at org.apache.flink.streaming.runtime.io.checkpointing.CheckpointedInputGate.handleEvent(CheckpointedInputGate.java:181) ~[flink-dist_2.11-1.14.3.jar:1.14.3]
        at org.apache.flink.streaming.runtime.io.checkpointing.CheckpointedInputGate.pollNext(CheckpointedInputGate.java:159) ~[flink-dist_2.11-1.14.3.jar:1.14.3]
        at org.apache.flink.streaming.runtime.io.AbstractStreamTaskNetworkInput.emitNext(AbstractStreamTaskNetworkInput.java:110) ~[flink-dist_2.11-1.14.3.jar:1.14.3]
        at org.apache.flink.streaming.runtime.io.StreamOneInputProcessor.processInput(StreamOneInputProcessor.java:65) ~[flink-dist_2.11-1.14.3.jar:1.14.3]
        at org.apache.flink.streaming.runtime.tasks.StreamTask.processInput(StreamTask.java:496) ~[flink-dist_2.11-1.14.3.jar:1.14.3]
        at org.apache.flink.streaming.runtime.tasks.mailbox.MailboxProcessor.runMailboxLoop(MailboxProcessor.java:203) ~[flink-dist_2.11-1.14.3.jar:1.14.3]
        at org.apache.flink.streaming.runtime.tasks.StreamTask.runMailboxLoop(StreamTask.java:809) ~[flink-dist_2.11-1.14.3.jar:1.14.3]
        at org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:761) ~[flink-dist_2.11-1.14.3.jar:1.14.3]
        at org.apache.flink.runtime.taskmanager.Task.runWithSystemExitMonitoring(Task.java:958) [flink-dist_2.11-1.14.3.jar:1.14.3]
        at org.apache.flink.runtime.taskmanager.Task.restoreAndInvoke(Task.java:937) [flink-dist_2.11-1.14.3.jar:1.14.3]
        at org.apache.flink.runtime.taskmanager.Task.doRun(Task.java:766) [flink-dist_2.11-1.14.3.jar:1.14.3]
        at org.apache.flink.runtime.taskmanager.Task.run(Task.java:575) [flink-dist_2.11-1.14.3.jar:1.14.3]
        at java.lang.Thread.run(Thread.java:748) [?:1.8.0_292]

minor: 版本0.14.0-bkbase.2

Hive: stop acquire table lock in hive metastore when checkLock call takes too long

refactor: 修改scm 仓库地址

refactor: 修改scm 仓库地址

Flink: Incrementally rewrite data files in streaming

apache#3323
合入此feature到flink 1.14

add spark 2.4 and flink 1.13 to release 0.13.1-bkbase.2

feature: BaseRewriteDataFilesAction有删除文件时，允许重写仅有一个数据文件的分区