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Posted to commits@hudi.apache.org by "Raymond Xu (Jira)" <ji...@apache.org> on 2022/01/23 23:34:00 UTC
[jira] [Closed] (HUDI-2514) Add default hiveTableSerdeProperties for Spark SQL when sync Hive
[ https://issues.apache.org/jira/browse/HUDI-2514?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Raymond Xu closed HUDI-2514.
----------------------------
Resolution: Resolved
> Add default hiveTableSerdeProperties for Spark SQL when sync Hive
> -----------------------------------------------------------------
>
> Key: HUDI-2514
> URL: https://issues.apache.org/jira/browse/HUDI-2514
> Project: Apache Hudi
> Issue Type: Improvement
> Components: hive-sync, spark-sql
> Reporter: 董可伦
> Assignee: 董可伦
> Priority: Critical
> Labels: hudi-on-call, pull-request-available
> Fix For: 0.11.0
>
> Attachments: t1.png, t2.png
>
> Original Estimate: 0.25h
> Time Spent: 20m
> Remaining Estimate: 0h
>
> If do not add the default hiveTableSerdeProperties，Spark SQL will not work properly
> For example,update:
>
> {code:java}
> update hudi.test_hudi_table set price=333 where id=111;
> {code}
>
> It will throw an Exception:
> {code:java}
> 21/10/03 17:41:15 ERROR SparkSQLDriver: Failed in [update hudi.test_hudi_table set price=333 where id=111]
> java.lang.AssertionError: assertion failed: There are no primary key in table `hudi`.`test_hudi_table`, cannot execute update operator
> at scala.Predef$.assert(Predef.scala:170)
> at org.apache.spark.sql.hudi.command.UpdateHoodieTableCommand.buildHoodieConfig(UpdateHoodieTableCommand.scala:91)
> at org.apache.spark.sql.hudi.command.UpdateHoodieTableCommand.run(UpdateHoodieTableCommand.scala:73)
> at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:70)
> at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:68)
> at org.apache.spark.sql.execution.command.ExecutedCommandExec.executeCollect(commands.scala:79)
> at org.apache.spark.sql.Dataset$$anonfun$6.apply(Dataset.scala:194)
> at org.apache.spark.sql.Dataset$$anonfun$6.apply(Dataset.scala:194)
> at org.apache.spark.sql.Dataset$$anonfun$52.apply(Dataset.scala:3370)
> at org.apache.spark.sql.execution.SQLExecution$$anonfun$withNewExecutionId$1.apply(SQLExecution.scala:80)
> at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:127)
> at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:75)
> at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3369)
> at org.apache.spark.sql.Dataset.<init>(Dataset.scala:194)
> at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:79)
> at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:642)
> at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:694)
> at org.apache.spark.sql.hive.thriftserver.SparkSQLDriver.run(SparkSQLDriver.scala:62)
> at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.processCmd(SparkSQLCLIDriver.scala:371)
> at org.apache.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:376)
> at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:274)
> at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52)
> at org.apache.spark.deploy.SparkSubmit.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:845)
> at org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:161)
> at org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:184)
> at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:86)
> at org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:920)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:929)
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> java.lang.AssertionError: assertion failed: There are no primary key in table `hudi`.`test_hudi_table`, cannot execute update operator
> at scala.Predef$.assert(Predef.scala:170)
> at org.apache.spark.sql.hudi.command.UpdateHoodieTableCommand.buildHoodieConfig(UpdateHoodieTableCommand.scala:91)
> at org.apache.spark.sql.hudi.command.UpdateHoodieTableCommand.run(UpdateHoodieTableCommand.scala:73)
> at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:70)
> at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:68)
> at org.apache.spark.sql.execution.command.ExecutedCommandExec.executeCollect(commands.scala:79)
> at org.apache.spark.sql.Dataset$$anonfun$6.apply(Dataset.scala:194)
> at org.apache.spark.sql.Dataset$$anonfun$6.apply(Dataset.scala:194)
> at org.apache.spark.sql.Dataset$$anonfun$52.apply(Dataset.scala:3370)
> at org.apache.spark.sql.execution.SQLExecution$$anonfun$withNewExecutionId$1.apply(SQLExecution.scala:80)
> at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:127)
> at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:75)
> at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3369)
> at org.apache.spark.sql.Dataset.<init>(Dataset.scala:194)
> at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:79)
> at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:642)
> at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:694)
> at org.apache.spark.sql.hive.thriftserver.SparkSQLDriver.run(SparkSQLDriver.scala:62)
> at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.processCmd(SparkSQLCLIDriver.scala:371)
> at org.apache.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:376)
> at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:274)
> at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52)
> at org.apache.spark.deploy.SparkSubmit.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:845)
> at org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:161)
> at org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:184)
> at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:86)
> at org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:920)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:929)
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> {code}
>
> update:2022/1/19
>
> ```
> hudi: 0.9.0
> spark: 2.4.5
> ```
> ```bash
> hive
> create database test_hudi;
> ```
> ```
> spark-shell -{-}master yarn --deploy-mode client --executor-memory 2G --num-executors 3 --executor-cores 2 --driver-memory 4G --driver-cores 2 --conf 'spark.serializer=org.apache.spark.serializer.KryoSerializer'{-} -conf 'spark.sql.extensions=org.apache.spark.sql.hudi.HoodieSparkSessionExtension' --principal ..- -keytab ..
> import org.apache.hudi.DataSourceWriteOptions._
> import org.apache.hudi.QuickstartUtils.\{DataGenerator, convertToStringList, getQuickstartWriteConfigs}
> import org.apache.hudi.config.HoodieWriteConfig.TBL_NAME
> import org.apache.spark.sql.SaveMode._
> import org.apache.spark.sql.\{SaveMode, SparkSession}
> import org.apache.spark.sql.functions.lit
> import org.apache.hudi.DataSourceReadOptions._
> import org.apache.hudi.config.HoodieWriteConfig
> import org.apache.hudi.keygen.SimpleKeyGenerator
> import org.apache.hudi.common.model.\{DefaultHoodieRecordPayload, HoodiePayloadProps}
> import org.apache.hudi.io.HoodieMergeHandle
> import org.apache.hudi.common.table.HoodieTableConfig
> import org.apache.spark.sql.functions._
> import spark.implicits._
> val df = Seq((1, "a1", 10, 1000, "2022-01-19")).toDF("id", "name", "value", "ts", "dt")
> df.write.format("hudi").
> option(HoodieWriteConfig.TBL_NAME.key, "test_hudi_table_sync_hive").
> option(TABLE_TYPE.key, COW_TABLE_TYPE_OPT_VAL).
> option(RECORDKEY_FIELD.key, "id").
> option(PRECOMBINE_FIELD.key, "ts").
> option(KEYGENERATOR_CLASS_OPT_KEY, "org.apache.hudi.keygen.NonpartitionedKeyGenerator").
> option("hoodie.datasource.write.partitionpath.field", "").
> option("hoodie.metadata.enable", false).
> option(KEYGENERATOR_CLASS_OPT_KEY, "org.apache.hudi.keygen.ComplexKeyGenerator").
> option(META_SYNC_ENABLED.key(), true).
> option(HIVE_USE_JDBC.key(), false).
> option(HIVE_DATABASE.key(), "test_hudi").
> option(HIVE_AUTO_CREATE_DATABASE.key(), true).
> option(HIVE_TABLE.key(), "test_hudi_table_sync_hive").
> option(HIVE_PARTITION_EXTRACTOR_CLASS.key(), "org.apache.hudi.hive.MultiPartKeysValueExtractor").
> mode("overwrite").
> save("/test_hudi/test_hudi_table_sync_hive")
> ```
> ```
> # hoodie.properties
> hoodie.table.precombine.field=ts
> hoodie.table.partition.fields=
> hoodie.table.type=COPY_ON_WRITE
> hoodie.archivelog.folder=archived
> hoodie.populate.meta.fields=true
> hoodie.timeline.layout.version=1
> hoodie.table.version=3
> hoodie.table.recordkey.fields=id
> hoodie.table.base.file.format=PARQUET
> hoodie.table.timeline.timezone=LOCAL
> hoodie.table.keygenerator.class=org.apache.hudi.keygen.ComplexKeyGenerator
> hoodie.table.name=test_hudi_table_sync_hive
> hoodie.datasource.write.hive_style_partitioning=false
> ```
> hive
> ```
> show create table test_hudi_table_sync_hive;
> +----------------------------------------------------+
> | createtab_stmt |
> +----------------------------------------------------+
> |CREATE EXTERNAL TABLE `test_hudi_table_sync_hive`(|
> | `_hoodie_commit_time` string, |
> | `_hoodie_commit_seqno` string, |
> | `_hoodie_record_key` string, |
> | `_hoodie_partition_path` string, |
> | `_hoodie_file_name` string, |
> | `id` int, |
> | `name` string, |
> | `value` int, |
> | `ts` int, |
> | `dt` string) |
> |ROW FORMAT SERDE |
> | 'org.apache.hadoop.hive.ql.io.parquet.serde.ParquetHiveSerDe' |
> |WITH SERDEPROPERTIES ( |
> | 'hoodie.query.as.ro.table'='false', |
> | 'path'='/test_hudi/test_hudi_table_sync_hive') |
> |STORED AS INPUTFORMAT |
> | 'org.apache.hudi.hadoop.HoodieParquetInputFormat' |
> |OUTPUTFORMAT |
> | 'org.apache.hadoop.hive.ql.io.parquet.MapredParquetOutputFormat'|
> |LOCATION |
> | 'hdfs://cluster1/test_hudi/test_hudi_table_sync_hive'|
> |TBLPROPERTIES ( |
> | 'last_commit_time_sync'='20220119110215185', |
> | 'spark.sql.sources.provider'='hudi', |
> | 'spark.sql.sources.schema.numParts'='1', |
> | 'spark.sql.sources.schema.part.0'='{"type":"struct","fields":[\{"name":"_hoodie_commit_time","type":"string","nullable":true,"metadata":{}},\\{"name":"_hoodie_commit_seqno","type":"string","nullable":true,"metadata":{}},\\{"name":"_hoodie_record_key","type":"string","nullable":true,"metadata":{}},\\{"name":"_hoodie_partition_path","type":"string","nullable":true,"metadata":{}},\\{"name":"_hoodie_file_name","type":"string","nullable":true,"metadata":{}},\\{"name":"id","type":"integer","nullable":false,"metadata":{}},\\{"name":"name","type":"string","nullable":true,"metadata":{}},\\{"name":"value","type":"integer","nullable":false,"metadata":{}},\\{"name":"ts","type":"integer","nullable":false,"metadata":{}},\\{"name":"dt","type":"string","nullable":true,"metadata":{}}]}', |
> | 'transient_lastDdlTime'='1642561355') |
> +----------------------------------------------------+
> 28 rows selected (0.429 seconds)
> ```
> ```
> spark-sql -{-}master yarn --deploy-mode client{-} -conf 'spark.serializer=org.apache.spark.serializer.KryoSerializer'- -conf 'spark.sql.extensions=org.apache.spark.sql.hudi.HoodieSparkSessionExtension' --principal .. --keytab ..
> update test_hudi.test_hudi_table_sync_hive set name='a2' where id=1;
> ```
> exception:
> ```
> 22/01/19 13:43:56 INFO UpdateHoodieTableCommand: start execute update command for `test_hudi`.`test_hudi_table_sync_hive`
> 22/01/19 13:43:56 ERROR SparkSQLDriver: Failed in [update test_hudi.test_hudi_table_sync_hive set name='aaa' where id=2]
> java.lang.AssertionError: assertion failed: There are no primary key in table `test_hudi`.`test_hudi_table_sync_hive`, cannot execute update operator
> at scala.Predef$.assert(Predef.scala:170)
> at org.apache.spark.sql.hudi.command.UpdateHoodieTableCommand.buildHoodieConfig(UpdateHoodieTableCommand.scala:91)
> at org.apache.spark.sql.hudi.command.UpdateHoodieTableCommand.run(UpdateHoodieTableCommand.scala:73)
> at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:70)
> at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:68)
> at org.apache.spark.sql.execution.command.ExecutedCommandExec.executeCollect(commands.scala:79)
> at org.apache.spark.sql.Dataset$$anonfun$6.apply(Dataset.scala:194)
> at org.apache.spark.sql.Dataset$$anonfun$6.apply(Dataset.scala:194)
> at org.apache.spark.sql.Dataset$$anonfun$52.apply(Dataset.scala:3370)
> at org.apache.spark.sql.execution.SQLExecution$$anonfun$withNewExecutionId$1.apply(SQLExecution.scala:80)
> at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:127)
> at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:75)
> at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3369)
> at org.apache.spark.sql.Dataset.<init>(Dataset.scala:194)
> at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:79)
> at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:642)
> at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:694)
> at org.apache.spark.sql.hive.thriftserver.SparkSQLDriver.run(SparkSQLDriver.scala:62)
> at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.processCmd(SparkSQLCLIDriver.scala:371)
> at org.apache.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:376)
> at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:274)
> at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52)
> at org.apache.spark.deploy.SparkSubmit.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:845)
> at org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:161)
> at org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:184)
> at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:86)
> at org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:920)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:929)
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> java.lang.AssertionError: assertion failed: There are no primary key in table `test_hudi`.`test_hudi_table_sync_hive`, cannot execute update operator
> at scala.Predef$.assert(Predef.scala:170)
> at org.apache.spark.sql.hudi.command.UpdateHoodieTableCommand.buildHoodieConfig(UpdateHoodieTableCommand.scala:91)
> at org.apache.spark.sql.hudi.command.UpdateHoodieTableCommand.run(UpdateHoodieTableCommand.scala:73)
> at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:70)
> at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:68)
> at org.apache.spark.sql.execution.command.ExecutedCommandExec.executeCollect(commands.scala:79)
> at org.apache.spark.sql.Dataset$$anonfun$6.apply(Dataset.scala:194)
> at org.apache.spark.sql.Dataset$$anonfun$6.apply(Dataset.scala:194)
> at org.apache.spark.sql.Dataset$$anonfun$52.apply(Dataset.scala:3370)
> at org.apache.spark.sql.execution.SQLExecution$$anonfun$withNewExecutionId$1.apply(SQLExecution.scala:80)
> at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:127)
> at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:75)
> at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3369)
> at org.apache.spark.sql.Dataset.<init>(Dataset.scala:194)
> at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:79)
> at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:642)
> at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:694)
> at org.apache.spark.sql.hive.thriftserver.SparkSQLDriver.run(SparkSQLDriver.scala:62)
> at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.processCmd(SparkSQLCLIDriver.scala:371)
> at org.apache.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:376)
> at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:274)
> at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52)
> at org.apache.spark.deploy.SparkSubmit.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:845)
> at org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:161)
> at org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:184)
> at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:86)
> at org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:920)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:929)
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> ```
> ```
> hudi 0.11.0 master build
> The above exception has been resolved, but delete will throw the following exception:
> : org.apache.hudi.exception.HoodieKeyException: recordKey values: "uuid:_{_}null{_}_" for fields: [uuid] cannot be entirely null or empty.
> at org.apache.hudi.keygen.KeyGenUtils.getRecordKey(KeyGenUtils.java:109)
> at org.apache.hudi.keygen.ComplexAvroKeyGenerator.getRecordKey(ComplexAvroKeyGenerator.java:43)
> at org.apache.hudi.keygen.ComplexKeyGenerator.getRecordKey(ComplexKeyGenerator.java:49)
> at org.apache.hudi.keygen.BaseKeyGenerator.getKey(BaseKeyGenerator.java:65)
> at org.apache.spark.sql.hudi.command.SqlKeyGenerator.getRecordKey(SqlKeyGenerator.scala:64)
> at org.apache.hudi.keygen.BaseKeyGenerator.getKey(BaseKeyGenerator.java:65)
> at org.apache.hudi.HoodieSparkSqlWriter$$anonfun$1.apply(HoodieSparkSqlWriter.scala:170)
> at org.apache.hudi.HoodieSparkSqlWriter$$anonfun$1.apply(HoodieSparkSqlWriter.scala:170)
> at scala.collection.Iterator$$anon$11.next(Iterator.scala:410)
> at scala.collection.Iterator$$anon$11.next(Iterator.scala:410)
> at org.apache.spark.util.collection.ExternalSorter.insertAll(ExternalSorter.scala:193)
> at org.apache.spark.shuffle.sort.SortShuffleWriter.write(SortShuffleWriter.scala:62)
> at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99)
> at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:55)
> at org.apache.spark.scheduler.Task.run(Task.scala:123)
> at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408)
> at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> at java.lang.Thread.run(Thread.java:748)
> at org.apache.hudi.keygen.KeyGenUtils.getRecordKey(KeyGenUtils.java:109)
> at org.apache.hudi.keygen.ComplexAvroKeyGenerator.getRecordKey(ComplexAvroKeyGenerator.java:43)
> at org.apache.hudi.keygen.ComplexKeyGenerator.getRecordKey(ComplexKeyGenerator.java:49)
> at org.apache.hudi.keygen.BaseKeyGenerator.getKey(BaseKeyGenerator.java:65)
> at org.apache.spark.sql.hudi.command.SqlKeyGenerator.getRecordKey(SqlKeyGenerator.scala:64)
> at org.apache.hudi.keygen.BaseKeyGenerator.getKey(BaseKeyGenerator.java:65)
> at org.apache.hudi.HoodieSparkSqlWriter$$anonfun$1.apply(HoodieSparkSqlWriter.scala:170)
> at org.apache.hudi.HoodieSparkSqlWriter$$anonfun$1.apply(HoodieSparkSqlWriter.scala:170)
> at scala.collection.Iterator$$anon$11.next(Iterator.scala:410)
> at scala.collection.Iterator$$anon$11.next(Iterator.scala:410)
> at org.apache.spark.util.collection.ExternalSorter.insertAll(ExternalSorter.scala:193)
> at org.apache.spark.shuffle.sort.SortShuffleWriter.write(SortShuffleWriter.scala:62)
> at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99)
> at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:55)
> at org.apache.spark.scheduler.Task.run(Task.scala:123)
> at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408)
> at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> at java.lang.Thread.run(Thread.java:748)
> Driver stacktrace:
> 22/01/19 13:33:39 INFO DAGScheduler: Job 60 failed: countByKey at HoodieJavaPairRDD.java:103, took 0.671469 s
> 22/01/19 13:33:39 ERROR SparkSQLDriver: Failed in [delete from test_hudi.test_hudi_table_sync_hive where id = 1]
> org.apache.hudi.exception.HoodieUpsertException: Failed to delete for commit time 20220119133338404
> at org.apache.hudi.table.action.commit.SparkDeleteHelper.execute(SparkDeleteHelper.java:120)
> at org.apache.hudi.table.action.commit.SparkDeleteCommitActionExecutor.execute(SparkDeleteCommitActionExecutor.java:46)
> at org.apache.hudi.table.HoodieSparkCopyOnWriteTable.delete(HoodieSparkCopyOnWriteTable.java:136)
> at org.apache.hudi.table.HoodieSparkCopyOnWriteTable.delete(HoodieSparkCopyOnWriteTable.java:103)
> at org.apache.hudi.client.SparkRDDWriteClient.delete(SparkRDDWriteClient.java:256)
> at org.apache.hudi.DataSourceUtils.doDeleteOperation(DataSourceUtils.java:226)
> at org.apache.hudi.HoodieSparkSqlWriter$.write(HoodieSparkSqlWriter.scala:191)
> at org.apache.hudi.DefaultSource.createRelation(DefaultSource.scala:164)
> at org.apache.spark.sql.execution.datasources.SaveIntoDataSourceCommand.run(SaveIntoDataSourceCommand.scala:45)
> at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:70)
> at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:68)
> at org.apache.spark.sql.execution.command.ExecutedCommandExec.doExecute(commands.scala:86)
> 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$$anonfun$executeQuery$1.apply(SparkPlan.scala:155)
> at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152)
> at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127)
> at org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:83)
> at org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:81)
> at org.apache.spark.sql.DataFrameWriter$$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$1.apply(SQLExecution.scala:80)
> at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:127)
> at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:75)
> at org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:676)
> at org.apache.spark.sql.DataFrameWriter.saveToV1Source(DataFrameWriter.scala:285)
> at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:271)
> at org.apache.spark.sql.hudi.command.DeleteHoodieTableCommand.run(DeleteHoodieTableCommand.scala:51)
> at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:70)
> at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:68)
> at org.apache.spark.sql.execution.command.ExecutedCommandExec.executeCollect(commands.scala:79)
> at org.apache.spark.sql.Dataset$$anonfun$6.apply(Dataset.scala:194)
> at org.apache.spark.sql.Dataset$$anonfun$6.apply(Dataset.scala:194)
> at org.apache.spark.sql.Dataset$$anonfun$52.apply(Dataset.scala:3370)
> at org.apache.spark.sql.execution.SQLExecution$$anonfun$withNewExecutionId$1.apply(SQLExecution.scala:80)
> at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:127)
> at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:75)
> at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3369)
> at org.apache.spark.sql.Dataset.<init>(Dataset.scala:194)
> at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:79)
> at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:642)
> at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:694)
> at org.apache.spark.sql.hive.thriftserver.SparkSQLDriver.run(SparkSQLDriver.scala:62)
> at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.processCmd(SparkSQLCLIDriver.scala:371)
> at org.apache.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:376)
> at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:274)
> at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52)
> at org.apache.spark.deploy.SparkSubmit.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:845)
> at org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:161)
> at org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:184)
> at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:86)
> at org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:920)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:929)
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> ```
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