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Posted to issues@spark.apache.org by "CHC (Jira)" <ji...@apache.org> on 2022/03/25 08:49:00 UTC

[jira] [Updated] (SPARK-33144) Connot insert overwite multiple partition, get exception "get partition: Value for key name is null or empty"

     [ https://issues.apache.org/jira/browse/SPARK-33144?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

CHC updated SPARK-33144:
------------------------
    Priority: Critical  (was: Major)

> Connot insert overwite multiple partition, get exception "get partition: Value for key name is null or empty"
> -------------------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-33144
>                 URL: https://issues.apache.org/jira/browse/SPARK-33144
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 3.0.1, 3.2.1
>         Environment: hadoop 2.7.3 + spark 3.0.1
>            Reporter: CHC
>            Priority: Critical
>
> When: 
> {code:sql}
> create table tmp.spark_multi_partition(
>     id int
> )
> partitioned by (name string, version string)
> stored as orc
> ;
> set hive.exec.dynamic.partition=true;
> set spark.hadoop.hive.exec.dynamic.partition=true;
>  
> set hive.exec.dynamic.partition.mode=nonstrict;
> set spark.hadoop.hive.exec.dynamic.partition.mode=nonstrict;
> insert overwrite table tmp.spark_multi_partition partition (name, version)
> select
>     *
> from (
>   select
>   1 as id
>   , 'hadoop' as name
>   , '2.7.3' as version
>   union
>   select
>   2 as id
>   , 'spark' as name
>   , '3.0.1' as version
>   union
>   select
>   3 as id
>   , 'hive' as name
>   , '2.3.4' as version
> ) as A;
> {code}
> and get exception:
> {code:bash}
> INFO load-dynamic-partitions-0 [hive.ql.metadata.Hive:1919]: New loading path = hdfs://namespace/apps/hive/warehouse/tmp.db/spark_multi_partition/.hive-staging_hive_2020-10-14_09-15-27_718_4118806337003279343-1/-ext-10000/name=spark/version=3.0.1 with partSpec {name=spark, version=3.0.1}
> 20/10/14 09:15:33 INFO load-dynamic-partitions-1 [hive.ql.metadata.Hive:1919]: New loading path = hdfs://namespace/apps/hive/warehouse/tmp.db/spark_multi_partition/.hive-staging_hive_2020-10-14_09-15-27_718_4118806337003279343-1/-ext-10000/name=hadoop/version=2.7.3 with partSpec {name=hadoop, version=2.7.3}
> 20/10/14 09:15:33 INFO load-dynamic-partitions-2 [hive.ql.metadata.Hive:1919]: New loading path = hdfs://namespace/apps/hive/warehouse/tmp.db/spark_multi_partition/.hive-staging_hive_2020-10-14_09-15-27_718_4118806337003279343-1/-ext-10000/name=hive/version=2.3.4 with partSpec {name=hive, version=2.3.4}
> 20/10/14 09:15:33 INFO load-dynamic-partitions-3 [hive.ql.metadata.Hive:1919]: New loading path = hdfs://namespace/apps/hive/warehouse/tmp.db/spark_multi_partition/.hive-staging_hive_2020-10-14_09-15-27_718_4118806337003279343-1/-ext-10000/_temporary/0 with partSpec {name=, version=}
> 20/10/14 09:15:33 ERROR load-dynamic-partitions-3 [hive.ql.metadata.Hive:1937]: Exception when loading partition with parameters  partPath=hdfs://namespace/apps/hive/warehouse/tmp.db/spark_multi_partition/.hive-staging_hive_2020-10-14_09-15-27_718_4118806337003279343-1/-ext-10000/_temporary/0,  table=spark_multi_partition,  partSpec={name=, version=},  replace=true,  listBucketingEnabled=false,  isAcid=false,  hasFollowingStatsTask=false
> org.apache.hadoop.hive.ql.metadata.HiveException: get partition: Value for key name is null or empty
> 	at org.apache.hadoop.hive.ql.metadata.Hive.getPartition(Hive.java:2233)
> 	at org.apache.hadoop.hive.ql.metadata.Hive.getPartition(Hive.java:2181)
> 	at org.apache.hadoop.hive.ql.metadata.Hive.loadPartition(Hive.java:1611)
> 	at org.apache.hadoop.hive.ql.metadata.Hive$3.call(Hive.java:1922)
> 	at org.apache.hadoop.hive.ql.metadata.Hive$3.call(Hive.java:1913)
> 	at java.util.concurrent.FutureTask.run(FutureTask.java:266)
> 	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> 	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> 	at java.lang.Thread.run(Thread.java:748)
> 20/10/14 09:15:33 INFO Delete-Thread-0 [org.apache.hadoop.fs.TrashPolicyDefault:168]: Moved: 'hdfs://namespace/apps/hive/warehouse/tmp.db/spark_multi_partition/name=spark/version=3.0.1/part-00001-b745147b-600f-4c79-8ba2-12a99283b0a9.c000' to trash at: hdfs://namespace/user/hive/.Trash/Current/apps/hive/warehouse/tmp.db/spark_multi_partition/name=spark/version=3.0.1/part-00001-b745147b-600f-4c79-8ba2-12a99283b0a9.c000
> 20/10/14 09:15:33 INFO load-dynamic-partitions-0 [org.apache.hadoop.hive.common.FileUtils:520]: Creating directory if it doesn't exist: hdfs://namespace/apps/hive/warehouse/tmp.db/spark_multi_partition/name=spark/version=3.0.1
> 20/10/14 09:15:33 INFO Delete-Thread-0 [org.apache.hadoop.fs.TrashPolicyDefault:168]: Moved: 'hdfs://namespace/apps/hive/warehouse/tmp.db/spark_multi_partition/name=hive/version=2.3.4/part-00002-b745147b-600f-4c79-8ba2-12a99283b0a9.c000' to trash at: hdfs://namespace/user/hive/.Trash/Current/apps/hive/warehouse/tmp.db/spark_multi_partition/name=hive/version=2.3.4/part-00002-b745147b-600f-4c79-8ba2-12a99283b0a9.c000
> 20/10/14 09:15:33 INFO load-dynamic-partitions-2 [org.apache.hadoop.hive.common.FileUtils:520]: Creating directory if it doesn't exist: hdfs://namespace/apps/hive/warehouse/tmp.db/spark_multi_partition/name=hive/version=2.3.4
> 20/10/14 09:15:33 INFO Delete-Thread-0 [org.apache.hadoop.fs.TrashPolicyDefault:168]: Moved: 'hdfs://namespace/apps/hive/warehouse/tmp.db/spark_multi_partition/name=hadoop/version=2.7.3/part-00000-b745147b-600f-4c79-8ba2-12a99283b0a9.c000' to trash at: hdfs://namespace/user/hive/.Trash/Current/apps/hive/warehouse/tmp.db/spark_multi_partition/name=hadoop/version=2.7.3/part-00000-b745147b-600f-4c79-8ba2-12a99283b0a9.c000
> 20/10/14 09:15:33 INFO load-dynamic-partitions-1 [org.apache.hadoop.hive.common.FileUtils:520]: Creating directory if it doesn't exist: hdfs://namespace/apps/hive/warehouse/tmp.db/spark_multi_partition/name=hadoop/version=2.7.3
> Error in query: org.apache.hadoop.hive.ql.metadata.HiveException: Exception when loading 4 in table spark_multi_partition with loadPath=hdfs://namespace/apps/hive/warehouse/tmp.db/spark_multi_partition/.hive-staging_hive_2020-10-14_09-15-27_718_4118806337003279343-1/-ext-10000;
> org.apache.spark.sql.AnalysisException: org.apache.hadoop.hive.ql.metadata.HiveException: Exception when loading 4 in table spark_multi_partition with loadPath=hdfs://namespace/apps/hive/warehouse/tmp.db/spark_multi_partition/.hive-staging_hive_2020-10-14_09-15-27_718_4118806337003279343-1/-ext-10000;
> 	at org.apache.spark.sql.hive.HiveExternalCatalog.withClient(HiveExternalCatalog.scala:113)
> 	at org.apache.spark.sql.hive.HiveExternalCatalog.loadDynamicPartitions(HiveExternalCatalog.scala:924)
> 	at org.apache.spark.sql.catalyst.catalog.ExternalCatalogWithListener.loadDynamicPartitions(ExternalCatalogWithListener.scala:189)
> 	at org.apache.spark.sql.hive.execution.InsertIntoHiveTable.processInsert(InsertIntoHiveTable.scala:258)
> 	at org.apache.spark.sql.hive.execution.InsertIntoHiveTable.run(InsertIntoHiveTable.scala:102)
> 	at org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult$lzycompute(commands.scala:108)
> 	at org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult(commands.scala:106)
> 	at org.apache.spark.sql.execution.command.DataWritingCommandExec.executeCollect(commands.scala:120)
> 	at org.apache.spark.sql.Dataset.$anonfun$logicalPlan$1(Dataset.scala:229)
> 	at org.apache.spark.sql.Dataset.$anonfun$withAction$1(Dataset.scala:3618)
> 	at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:100)
> 	at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:160)
> 	at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:87)
> 	at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:764)
> 	at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64)
> 	at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3616)
> 	at org.apache.spark.sql.Dataset.<init>(Dataset.scala:229)
> 	at org.apache.spark.sql.Dataset$.$anonfun$ofRows$2(Dataset.scala:100)
> 	at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:764)
> 	at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:97)
> 	at org.apache.spark.sql.SparkSession.$anonfun$sql$1(SparkSession.scala:607)
> 	at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:764)
> 	at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:602)
> 	at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:650)
> 	at org.apache.spark.sql.hive.thriftserver.SparkSQLDriver.run(SparkSQLDriver.scala:63)
> 	at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.processCmd(SparkSQLCLIDriver.scala:377)
> 	at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.$anonfun$processLine$1(SparkSQLCLIDriver.scala:496)
> 	at scala.collection.Iterator.foreach(Iterator.scala:941)
> 	at scala.collection.Iterator.foreach$(Iterator.scala:941)
> 	at scala.collection.AbstractIterator.foreach(Iterator.scala:1429)
> 	at scala.collection.IterableLike.foreach(IterableLike.scala:74)
> 	at scala.collection.IterableLike.foreach$(IterableLike.scala:73)
> 	at scala.collection.AbstractIterable.foreach(Iterable.scala:56)
> 	at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.processLine(SparkSQLCLIDriver.scala:490)
> 	at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:282)
> 	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$$runMain(SparkSubmit.scala:928)
> 	at org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:180)
> 	at org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:203)
> 	at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:90)
> 	at org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:1007)
> 	at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:1016)
> 	at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> Caused by: org.apache.hadoop.hive.ql.metadata.HiveException: Exception when loading 4 in table spark_multi_partition with loadPath=hdfs://namespace/apps/hive/warehouse/tmp.db/spark_multi_partition/.hive-staging_hive_2020-10-14_09-15-27_718_4118806337003279343-1/-ext-10000
> 	at org.apache.hadoop.hive.ql.metadata.Hive.loadDynamicPartitions(Hive.java:1963)
> 	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.sql.hive.client.Shim_v2_1.loadDynamicPartitions(HiveShim.scala:1226)
> 	at org.apache.spark.sql.hive.client.HiveClientImpl.$anonfun$loadDynamicPartitions$1(HiveClientImpl.scala:903)
> 	at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
> 	at org.apache.spark.sql.hive.client.HiveClientImpl.$anonfun$withHiveState$1(HiveClientImpl.scala:294)
> 	at org.apache.spark.sql.hive.client.HiveClientImpl.liftedTree1$1(HiveClientImpl.scala:227)
> 	at org.apache.spark.sql.hive.client.HiveClientImpl.retryLocked(HiveClientImpl.scala:226)
> 	at org.apache.spark.sql.hive.client.HiveClientImpl.withHiveState(HiveClientImpl.scala:276)
> 	at org.apache.spark.sql.hive.client.HiveClientImpl.loadDynamicPartitions(HiveClientImpl.scala:894)
> 	at org.apache.spark.sql.hive.HiveExternalCatalog.$anonfun$loadDynamicPartitions$1(HiveExternalCatalog.scala:944)
> 	at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
> 	at org.apache.spark.sql.hive.HiveExternalCatalog.withClient(HiveExternalCatalog.scala:103)
> 	... 47 more
> Caused by: java.util.concurrent.ExecutionException: org.apache.hadoop.hive.ql.metadata.HiveException: get partition: Value for key name is null or empty
> 	at java.util.concurrent.FutureTask.report(FutureTask.java:122)
> 	at java.util.concurrent.FutureTask.get(FutureTask.java:192)
> 	at org.apache.hadoop.hive.ql.metadata.Hive.loadDynamicPartitions(Hive.java:1954)
> 	... 62 more
> Caused by: org.apache.hadoop.hive.ql.metadata.HiveException: get partition: Value for key name is null or empty
> 	at org.apache.hadoop.hive.ql.metadata.Hive.getPartition(Hive.java:2233)
> 	at org.apache.hadoop.hive.ql.metadata.Hive.getPartition(Hive.java:2181)
> 	at org.apache.hadoop.hive.ql.metadata.Hive.loadPartition(Hive.java:1611)
> 	at org.apache.hadoop.hive.ql.metadata.Hive$3.call(Hive.java:1922)
> 	at org.apache.hadoop.hive.ql.metadata.Hive$3.call(Hive.java:1913)
> 	at java.util.concurrent.FutureTask.run(FutureTask.java:266)
> 	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> 	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> 	at java.lang.Thread.run(Thread.java:748)
> {code}
>  
>   
>   
>   
>  



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