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angerszhu edited comment on SPARK-29409 at 10/9/19 2:54 PM: ------------------------------------------------------------ Can you show more reproduce process? was (Author: angerszhuuu): i will check on this. > spark drop partition always throws Exception > -------------------------------------------- > > Key: SPARK-29409 > URL: https://issues.apache.org/jira/browse/SPARK-29409 > Project: Spark > Issue Type: Bug > Components: SQL > Affects Versions: 2.4.0 > Reporter: ant_nebula > Priority: Major > > The table is: > {code:java} > CREATE TABLE `test_spark.test_drop_partition`( > `platform` string, > `product` string, > `cnt` bigint) > PARTITIONED BY (dt string) > stored as orc;{code} > hive 2.1.1: > {code:java} > spark-sql -e "alter table test_spark.test_drop_partition drop if exists > partition(dt='2019-10-08')"{code} > hive builtin: > {code:java} > spark-sql --conf spark.sql.hive.metastore.version=1.2.1 --conf > spark.sql.hive.metastore.jars=builtin -e "alter table > test_spark.test_drop_partition drop if exists > partition(dt='2019-10-08')"{code} > both would log Exception: > {code:java} > 19/10/09 18:21:27 INFO metastore: Opened a connection to metastore, current > connections: 1 > 19/10/09 18:21:27 INFO metastore: Connected to metastore. > 19/10/09 18:21:27 WARN RetryingMetaStoreClient: MetaStoreClient lost > connection. Attempting to reconnect. > org.apache.thrift.transport.TTransportException: Cannot write to null > outputStream > at > org.apache.thrift.transport.TIOStreamTransport.write(TIOStreamTransport.java:142) > at > org.apache.thrift.protocol.TBinaryProtocol.writeI32(TBinaryProtocol.java:178) > at > org.apache.thrift.protocol.TBinaryProtocol.writeMessageBegin(TBinaryProtocol.java:106) > at org.apache.thrift.TServiceClient.sendBase(TServiceClient.java:70) > at org.apache.thrift.TServiceClient.sendBase(TServiceClient.java:62) > at > org.apache.hadoop.hive.metastore.api.ThriftHiveMetastore$Client.send_get_partitions_ps_with_auth(ThriftHiveMetastore.java:2433) > at > org.apache.hadoop.hive.metastore.api.ThriftHiveMetastore$Client.get_partitions_ps_with_auth(ThriftHiveMetastore.java:2420) > at > org.apache.hadoop.hive.metastore.HiveMetaStoreClient.listPartitionsWithAuthInfo(HiveMetaStoreClient.java:1199) > 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.hadoop.hive.metastore.RetryingMetaStoreClient.invoke(RetryingMetaStoreClient.java:154) > at com.sun.proxy.$Proxy30.listPartitionsWithAuthInfo(Unknown Source) > at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) > at > sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) > at > sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) > at java.lang.reflect.Method.invoke(Method.java:498) > at > org.apache.hadoop.hive.metastore.HiveMetaStoreClient$SynchronizedHandler.invoke(HiveMetaStoreClient.java:2265) > at com.sun.proxy.$Proxy30.listPartitionsWithAuthInfo(Unknown Source) > at org.apache.hadoop.hive.ql.metadata.Hive.getPartitions(Hive.java:2333) > at org.apache.hadoop.hive.ql.metadata.Hive.getPartitions(Hive.java:2359) > at > org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$dropPartitions$1$$anonfun$16.apply(HiveClientImpl.scala:560) > at > org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$dropPartitions$1$$anonfun$16.apply(HiveClientImpl.scala:555) > at > scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241) > at > scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241) > at > scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) > at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48) > at scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:241) > at scala.collection.AbstractTraversable.flatMap(Traversable.scala:104) > at > org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$dropPartitions$1.apply$mcV$sp(HiveClientImpl.scala:555) > at > org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$dropPartitions$1.apply(HiveClientImpl.scala:550) > at > org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$dropPartitions$1.apply(HiveClientImpl.scala:550) > at > org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$withHiveState$1.apply(HiveClientImpl.scala:275) > at > org.apache.spark.sql.hive.client.HiveClientImpl.liftedTree1$1(HiveClientImpl.scala:213) > at > org.apache.spark.sql.hive.client.HiveClientImpl.retryLocked(HiveClientImpl.scala:212) > at > org.apache.spark.sql.hive.client.HiveClientImpl.withHiveState(HiveClientImpl.scala:258) > at > org.apache.spark.sql.hive.client.HiveClientImpl.dropPartitions(HiveClientImpl.scala:550) > at > org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$dropPartitions$1.apply$mcV$sp(HiveExternalCatalog.scala:972) > at > org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$dropPartitions$1.apply(HiveExternalCatalog.scala:970) > at > org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$dropPartitions$1.apply(HiveExternalCatalog.scala:970) > at > org.apache.spark.sql.hive.HiveExternalCatalog.withClient(HiveExternalCatalog.scala:97) > at > org.apache.spark.sql.hive.HiveExternalCatalog.dropPartitions(HiveExternalCatalog.scala:970) > at > org.apache.spark.sql.catalyst.catalog.ExternalCatalogWithListener.dropPartitions(ExternalCatalogWithListener.scala:203) > at > org.apache.spark.sql.catalyst.catalog.SessionCatalog.dropPartitions(SessionCatalog.scala:846) > at > org.apache.spark.sql.execution.command.AlterTableDropPartitionCommand.run(ddl.scala:546) > at > org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:70) > at > org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:68) > at > org.apache.spark.sql.execution.command.ExecutedCommandExec.executeCollect(commands.scala:79) > at org.apache.spark.sql.Dataset$$anonfun$6.apply(Dataset.scala:195) > at org.apache.spark.sql.Dataset$$anonfun$6.apply(Dataset.scala:195) > at org.apache.spark.sql.Dataset$$anonfun$53.apply(Dataset.scala:3365) > at > org.apache.spark.sql.execution.SQLExecution$$anonfun$withNewExecutionId$1.apply(SQLExecution.scala:78) > at > org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:125) > at > org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:73) > at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3364) > at org.apache.spark.sql.Dataset.<init>(Dataset.scala:195) > at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:80) > at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:642) > at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:694) > at > org.apache.spark.sql.hive.thriftserver.SparkSQLDriver.run(SparkSQLDriver.scala:62) > at > org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.processCmd(SparkSQLCLIDriver.scala:371) > at org.apache.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:376) > at > org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:274) > at > org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala) > at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) > at > sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) > at > sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) > at java.lang.reflect.Method.invoke(Method.java:498) > at > org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52) > at > org.apache.spark.deploy.SparkSubmit.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:849) > at org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:167) > at org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:195) > at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:86) > at > org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:924) > at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:933) > at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) > 19/10/09 18:21:28 INFO metastore: Trying to connect to metastore with URI > thrift://dc.local.metastore.hy:9083 > 19/10/09 18:21:28 INFO metastore: Opened a connection to metastore, current > connections: 2 > 19/10/09 18:21:28 INFO metastore: Connected to metastore. > Time taken: 3.715 seconds{code} > But this sql is normal > {code:java} > spark-sql -e "select * from test_spark.test_drop_partition where > dt='2019-10-08' limit 3; alter table test_spark.test_drop_partition drop if > exists partition(dt='2019-10-08');"{code} > -- This message was sent by Atlassian Jira (v8.3.4#803005) 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