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Apache Iceberg
Home Page: https://iceberg.apache.org/
License: Apache License 2.0
This project forked from apache/iceberg
Apache Iceberg
Home Page: https://iceberg.apache.org/
License: Apache License 2.0
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。
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.
change project group to com.tencent.bk.base.datahub and set version to 0.12.1-bkbase.1
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>
Parquet: Fix row group filters with promoted types apache#2232
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.
refactor: 修改scm 仓库地址
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。
> 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)
minor: 设置版本0.9.0-bkbase.3
release 0.12.1-bkbase.2
apache#3323
合入此feature到flink 1.14
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]
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。
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
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