artiship opened a new pull request #1685:
URL: https://github.com/apache/hive/pull/1685


   ### What changes were proposed in this pull request?
   Modify Hive.java to make sure invoke the getUserName method before getMSC 
method.
   
   
   ### Why are the changes needed?
   Using spark sql drop partition will always throws exception.
   
   sql:
   ```
   alter table mydb.some_table drop if exists partition(dt = '2020-11-12',hh = 
'17');
   ```
   
   exception:
   
   ```
   20/11/12 19:37:57 WARN SessionState: METASTORE_FILTER_HOOK will be ignored, 
since hive.security.authorization.manager is set to instance of 
HiveAuthorizerFactory.
   20/11/12 19:37:57 WARN RetryingMetaStoreClient: MetaStoreClient lost 
connection. Attempting to reconnect (1 of 1) after 1s. 
listPartitionsWithAuthInfo
   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:185)
        at 
org.apache.thrift.protocol.TBinaryProtocol.writeMessageBegin(TBinaryProtocol.java:116)
        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$Client.send_get_partitions_ps_with_auth(ThriftHiveMetastore.java:2562)
        at 
org.apache.hadoop.hive.metastore.api.ThriftHiveMetastore$Client.get_partitions_ps_with_auth(ThriftHiveMetastore.java:2549)
        at 
org.apache.hadoop.hive.metastore.HiveMetaStoreClient.listPartitionsWithAuthInfo(HiveMetaStoreClient.java:1209)
        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:173)
        at com.sun.proxy.$Proxy32.listPartitionsWithAuthInfo(Unknown Source)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at 
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
        at 
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:498)
        at 
org.apache.hadoop.hive.metastore.HiveMetaStoreClient$SynchronizedHandler.invoke(HiveMetaStoreClient.java:2336)
        at com.sun.proxy.$Proxy32.listPartitionsWithAuthInfo(Unknown Source)
        at org.apache.hadoop.hive.ql.metadata.Hive.getPartitions(Hive.java:2555)
        at org.apache.hadoop.hive.ql.metadata.Hive.getPartitions(Hive.java:2581)
        at 
org.apache.spark.sql.hive.client.HiveClientImpl.$anonfun$dropPartitions$2(HiveClientImpl.scala:628)
        at 
scala.collection.TraversableLike.$anonfun$flatMap$1(TraversableLike.scala:245)
        at 
scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
        at 
scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
        at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
        at scala.collection.TraversableLike.flatMap(TraversableLike.scala:245)
        at scala.collection.TraversableLike.flatMap$(TraversableLike.scala:242)
        at scala.collection.AbstractTraversable.flatMap(Traversable.scala:108)
        at 
org.apache.spark.sql.hive.client.HiveClientImpl.$anonfun$dropPartitions$1(HiveClientImpl.scala:622)
        at 
scala.runtime.java8.JFunction0$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$1(HiveClientImpl.scala:227)
        at 
org.apache.spark.sql.hive.client.HiveClientImpl.retryLocked(HiveClientImpl.scala:226)
        at 
org.apache.spark.sql.hive.client.HiveClientImpl.withHiveState(HiveClientImpl.scala:276)
        at 
org.apache.spark.sql.hive.client.HiveClientImpl.dropPartitions(HiveClientImpl.scala:617)
        at 
org.apache.spark.sql.hive.HiveExternalCatalog.$anonfun$dropPartitions$1(HiveExternalCatalog.scala:1018)
        at 
scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
        at 
org.apache.spark.sql.hive.HiveExternalCatalog.withClient(HiveExternalCatalog.scala:103)
        at 
org.apache.spark.sql.hive.HiveExternalCatalog.dropPartitions(HiveExternalCatalog.scala:1015)
        at 
org.apache.spark.sql.catalyst.catalog.ExternalCatalogWithListener.dropPartitions(ExternalCatalogWithListener.scala:211)
        at 
org.apache.spark.sql.catalyst.catalog.SessionCatalog.dropPartitions(SessionCatalog.scala:988)
        at 
org.apache.spark.sql.execution.command.AlterTableDropPartitionCommand.run(ddl.scala:581)
        at 
org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$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.$anonfun$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$1(SparkSession.scala:607)
        at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:764)
        at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:602)
        at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:650)
        at 
org.apache.spark.sql.hive.thriftserver.SparkSQLDriver.run(SparkSQLDriver.scala:64)
        at 
org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.processCmd(SparkSQLCLIDriver.scala:377)
        at 
org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.$anonfun$processLine$1(SparkSQLCLIDriver.scala:496)
        at 
org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.$anonfun$processLine$1$adapted(SparkSQLCLIDriver.scala:490)
        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.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:336)
        at 
org.apache.hadoop.hive.cli.CliDriver.processReader(CliDriver.java:474)
        at org.apache.hadoop.hive.cli.CliDriver.processFile(CliDriver.java:490)
        at 
org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:208)
        at 
org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at 
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
        at 
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:498)
        at 
org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52)
        at 
org.apache.spark.deploy.SparkSubmit.org$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)
   Response code
   Time taken: 4.192 seconds
   ```
   
   The problem raised from the getPartitions method, where the metastore client 
getMSC get will later been closed by the getUserName method. The getUserName 
method will close the current metastore in during setAuth and cause the 
underlying thrift transport closed.
   
   ```java
   public List<Partition> getPartitions(Table tbl, Map<String, String> 
partialPartSpec,
       short limit)
   throws HiveException {
     if (!tbl.isPartitioned()) {
       throw new HiveException(ErrorMsg.TABLE_NOT_PARTITIONED, 
tbl.getTableName());
     }
   
     List<String> partialPvals = MetaStoreUtils.getPvals(tbl.getPartCols(), 
partialPartSpec);
   
     List<org.apache.hadoop.hive.metastore.api.Partition> partitions = null;
     try {
       partitions = getMSC().listPartitionsWithAuthInfo(tbl.getDbName(), 
tbl.getTableName(),
           partialPvals, limit, getUserName(), getGroupNames());
     } catch (Exception e) {
       throw new HiveException(e);
     }
   
     List<Partition> qlPartitions = new ArrayList<Partition>();
     for (org.apache.hadoop.hive.metastore.api.Partition p : partitions) {
       qlPartitions.add( new Partition(tbl, p));
     }
   
     return qlPartitions;
   }
   ```
   
   This pr is simple that just moving calling the getUserName before getMSC for 
preventing connection been close.
   
   ### Does this PR introduce _any_ user-facing change?
   No.
   
   ### How was this patch tested?
   I tested it manually by using the reproduce steps provided. And it will 
never throw the connection lost exception again.


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