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Posted to issues@hive.apache.org by "ASF GitHub Bot (Jira)" <ji...@apache.org> on 2022/12/16 12:23:00 UTC
[jira] [Work logged] (HIVE-24404) Hive getUserName close db makes client operations lost metaStoreClient connection
[ https://issues.apache.org/jira/browse/HIVE-24404?focusedWorklogId=834153&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-834153 ]
ASF GitHub Bot logged work on HIVE-24404:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 16/Dec/22 12:22
Start Date: 16/Dec/22 12:22
Worklog Time Spent: 10m
Work Description: 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.
hive version: 2.3.7
spark version: 3.0.1
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 that getMSC get will later been closed by the getUserName method. The getUserName method will close the current client during setAuth and result in the underlying thrift transport been 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 ahead 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.
Issue Time Tracking
-------------------
Worklog Id: (was: 834153)
Time Spent: 50m (was: 40m)
> Hive getUserName close db makes client operations lost metaStoreClient connection
> ---------------------------------------------------------------------------------
>
> Key: HIVE-24404
> URL: https://issues.apache.org/jira/browse/HIVE-24404
> Project: Hive
> Issue Type: Bug
> Components: Clients
> Affects Versions: 2.3.7
> Environment: os: centos 7
> spark: 3.0.1
> hive: 2.3.7
> Reporter: Lichuanliang
> Priority: Major
> Labels: pull-request-available
> Time Spent: 50m
> Remaining Estimate: 0h
>
> I'm using spark to execute a drop partition sql will always encounter a lost metastore connection warning.
> Spark ql:
> {code:java}
> alter table mydb.some_table drop if exists partition(dt = '2020-11-12',hh = '17');
> {code}
> Execution log:
> {code:java}
> 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 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. listPartitionsWithAuthInfoorg.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 codeTime taken: 4.192 seconds
> {code}
> 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.
> {code: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;
> }{code}
> I found another guy have raised the same issue for spark at a older version.
> https://issues.apache.org/jira/browse/SPARK-29409
>
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