[ https://issues.apache.org/jira/browse/SPARK-9465?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen resolved SPARK-9465. ------------------------------ Resolution: Cannot Reproduce > Could not read parquet table after recreating it with the same table name > ------------------------------------------------------------------------- > > Key: SPARK-9465 > URL: https://issues.apache.org/jira/browse/SPARK-9465 > Project: Spark > Issue Type: Bug > Components: SQL > Affects Versions: 1.4.1 > Reporter: StanZhai > > I'am using SparkSQL in Spark 1.4.1. I encounter an error when using parquet > table after recreating it, we can reproduce the error as following: > {code} > // hc is an instance of HiveContext > hc.sql("select * from b").show() // this is ok and b is a parquet > table > val df = hc.sql("select * from a") > df.write.mode(SaveMode.Overwrite).saveAsTable("b") > hc.sql("select * from b").show() // got error > {code} > The error is: > {code} > java.io.FileNotFoundException: File does not exist: > /user/hive/warehouse/test.db/b/part-r-00004-3abcbb07-e20a-4b5e-a6e5-59356c3d3149.gz.parquet > > at > org.apache.hadoop.hdfs.server.namenode.INodeFile.valueOf(INodeFile.java:65) > at > org.apache.hadoop.hdfs.server.namenode.INodeFile.valueOf(INodeFile.java:55) > at > org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getBlockLocationsUpdateTimes(FSNamesystem.java:1716) > > at > org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getBlockLocationsInt(FSNamesystem.java:1659) > > at > org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getBlockLocations(FSNamesystem.java:1639) > > at > org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getBlockLocations(FSNamesystem.java:1613) > > at > org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.getBlockLocations(NameNodeRpcServer.java:497) > > at > org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolServerSideTranslatorPB.getBlockLocations(ClientNamenodeProtocolServerSideTranslatorPB.java:322) > > at > org.apache.hadoop.hdfs.protocol.proto.ClientNamenodeProtocolProtos$ClientNamenodeProtocol$2.callBlockingMethod(ClientNamenodeProtocolProtos.java) > > at > org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:585) > > at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:928) > at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2013) > at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2009) > at java.security.AccessController.doPrivileged(Native Method) > at javax.security.auth.Subject.doAs(Subject.java:415) > at > org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1548) > > at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2007) > at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native > Method) > at > sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:57) > > at > sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45) > > at java.lang.reflect.Constructor.newInstance(Constructor.java:526) > at > org.apache.hadoop.ipc.RemoteException.instantiateException(RemoteException.java:106) > > at > org.apache.hadoop.ipc.RemoteException.unwrapRemoteException(RemoteException.java:73) > > at > org.apache.hadoop.hdfs.DFSClient.callGetBlockLocations(DFSClient.java:1144) > at > org.apache.hadoop.hdfs.DFSClient.getLocatedBlocks(DFSClient.java:1132) > at > org.apache.hadoop.hdfs.DFSClient.getBlockLocations(DFSClient.java:1182) > at > org.apache.hadoop.hdfs.DistributedFileSystem$1.doCall(DistributedFileSystem.java:218) > > at > org.apache.hadoop.hdfs.DistributedFileSystem$1.doCall(DistributedFileSystem.java:214) > > at > org.apache.hadoop.fs.FileSystemLinkResolver.resolve(FileSystemLinkResolver.java:81) > > at > org.apache.hadoop.hdfs.DistributedFileSystem.getFileBlockLocations(DistributedFileSystem.java:214) > > at > org.apache.hadoop.hdfs.DistributedFileSystem.getFileBlockLocations(DistributedFileSystem.java:206) > > at > org.apache.spark.sql.parquet.FilteringParquetRowInputFormat$$anonfun$getTaskSideSplits$1.apply(ParquetTableOperations.scala:625) > > at > org.apache.spark.sql.parquet.FilteringParquetRowInputFormat$$anonfun$getTaskSideSplits$1.apply(ParquetTableOperations.scala:621) > > at scala.collection.Iterator$class.foreach(Iterator.scala:727) > at scala.collection.AbstractIterator.foreach(Iterator.scala:1157) > at scala.collection.IterableLike$class.foreach(IterableLike.scala:72) > at scala.collection.AbstractIterable.foreach(Iterable.scala:54) > at > org.apache.spark.sql.parquet.FilteringParquetRowInputFormat.getTaskSideSplits(ParquetTableOperations.scala:621) > > at > org.apache.spark.sql.parquet.FilteringParquetRowInputFormat.getSplits(ParquetTableOperations.scala:511) > > at > parquet.hadoop.ParquetInputFormat.getSplits(ParquetInputFormat.java:245) > at > org.apache.spark.sql.parquet.FilteringParquetRowInputFormat.getSplits(ParquetTableOperations.scala:464) > > at > org.apache.spark.sql.parquet.ParquetRelation2$$anonfun$buildScan$1$$anon$1.getPartitions(newParquet.scala:305) > > at > org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:219) > at > org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:217) > at scala.Option.getOrElse(Option.scala:120) > at org.apache.spark.rdd.RDD.partitions(RDD.scala:217) > at > org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:32) > > at > org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:219) > at > org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:217) > at scala.Option.getOrElse(Option.scala:120) > at org.apache.spark.rdd.RDD.partitions(RDD.scala:217) > at > org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:32) > > at > org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:219) > at > org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:217) > at scala.Option.getOrElse(Option.scala:120) > at org.apache.spark.rdd.RDD.partitions(RDD.scala:217) > at > org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:32) > > at > org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:219) > at > org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:217) > at scala.Option.getOrElse(Option.scala:120) > at org.apache.spark.rdd.RDD.partitions(RDD.scala:217) > at org.apache.spark.SparkContext.runJob(SparkContext.scala:1781) > at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:885) > at > org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147) > > at > org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:108) > > at org.apache.spark.rdd.RDD.withScope(RDD.scala:286) > at org.apache.spark.rdd.RDD.collect(RDD.scala:884) > at > cn.zhaishidan.test.service.SparkHiveService.formatDF(SparkHiveService.scala:64) > > at > cn.zhaishidan.test.service.SparkHiveService.query(SparkHiveService.scala:78) > at > cn.zhaishidan.test.api.DatabaseApi$$anonfun$query$1.apply(DatabaseApi.scala:41) > > at > cn.zhaishidan.test.api.DatabaseApi$$anonfun$query$1.apply(DatabaseApi.scala:32) > > at > cn.zhaishidan.test.web.JettyUtils$$anon$1.getOrPost(JettyUtils.scala:81) > at > cn.zhaishidan.test.web.JettyUtils$$anon$1.doGet(JettyUtils.scala:115) > at javax.servlet.http.HttpServlet.service(HttpServlet.java:735) > at javax.servlet.http.HttpServlet.service(HttpServlet.java:848) > at > org.eclipse.jetty.servlet.ServletHolder.handle(ServletHolder.java:684) > at > org.eclipse.jetty.servlet.ServletHandler.doHandle(ServletHandler.java:501) > at > org.eclipse.jetty.server.handler.ContextHandler.doHandle(ContextHandler.java:1086) > > at > org.eclipse.jetty.servlet.ServletHandler.doScope(ServletHandler.java:428) > at > org.eclipse.jetty.server.handler.ContextHandler.doScope(ContextHandler.java:1020) > > at > org.eclipse.jetty.server.handler.ScopedHandler.handle(ScopedHandler.java:135) > at > org.eclipse.jetty.server.handler.HandlerList.handle(HandlerList.java:52) > at > org.eclipse.jetty.server.handler.HandlerWrapper.handle(HandlerWrapper.java:116) > > at org.eclipse.jetty.server.Server.handle(Server.java:370) > at > org.eclipse.jetty.server.AbstractHttpConnection.handleRequest(AbstractHttpConnection.java:494) > > at > org.eclipse.jetty.server.AbstractHttpConnection.headerComplete(AbstractHttpConnection.java:971) > > at > org.eclipse.jetty.server.AbstractHttpConnection$RequestHandler.headerComplete(AbstractHttpConnection.java:1033) > > at org.eclipse.jetty.http.HttpParser.parseNext(HttpParser.java:644) > at > org.eclipse.jetty.http.HttpParser.parseAvailable(HttpParser.java:235) > at > org.eclipse.jetty.server.AsyncHttpConnection.handle(AsyncHttpConnection.java:82) > > at > org.eclipse.jetty.io.nio.SelectChannelEndPoint.handle(SelectChannelEndPoint.java:667) > > at > org.eclipse.jetty.io.nio.SelectChannelEndPoint$1.run(SelectChannelEndPoint.java:52) > > at > org.eclipse.jetty.util.thread.QueuedThreadPool.runJob(QueuedThreadPool.java:608) > > at > org.eclipse.jetty.util.thread.QueuedThreadPool$3.run(QueuedThreadPool.java:543) > > at java.lang.Thread.run(Thread.java:745) > Caused by: > org.apache.hadoop.ipc.RemoteException(java.io.FileNotFoundException): File > does not exist: > /user/hive/warehouse/test.db/b/part-r-00004-3abcbb07-e20a-4b5e-a6e5-59356c3d3149.gz.parquet > > at > org.apache.hadoop.hdfs.server.namenode.INodeFile.valueOf(INodeFile.java:65) > at > org.apache.hadoop.hdfs.server.namenode.INodeFile.valueOf(INodeFile.java:55) > at > org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getBlockLocationsUpdateTimes(FSNamesystem.java:1716) > > at > org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getBlockLocationsInt(FSNamesystem.java:1659) > > at > org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getBlockLocations(FSNamesystem.java:1639) > > at > org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getBlockLocations(FSNamesystem.java:1613) > > at > org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.getBlockLocations(NameNodeRpcServer.java:497) > > at > org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolServerSideTranslatorPB.getBlockLocations(ClientNamenodeProtocolServerSideTranslatorPB.java:322) > > at > org.apache.hadoop.hdfs.protocol.proto.ClientNamenodeProtocolProtos$ClientNamenodeProtocol$2.callBlockingMethod(ClientNamenodeProtocolProtos.java) > > at > org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:585) > > at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:928) > at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2013) > at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2009) > at java.security.AccessController.doPrivileged(Native Method) > at javax.security.auth.Subject.doAs(Subject.java:415) > at > org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1548) > > at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2007) > at org.apache.hadoop.ipc.Client.call(Client.java:1410) > at org.apache.hadoop.ipc.Client.call(Client.java:1363) > at > org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:206) > > at com.sun.proxy.$Proxy23.getBlockLocations(Unknown Source) > at sun.reflect.GeneratedMethodAccessor22.invoke(Unknown Source) > at > sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) > > at java.lang.reflect.Method.invoke(Method.java:606) > at > org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:190) > > at > org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:103) > > at com.sun.proxy.$Proxy23.getBlockLocations(Unknown Source) > at > org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolTranslatorPB.getBlockLocations(ClientNamenodeProtocolTranslatorPB.java:219) > > at > org.apache.hadoop.hdfs.DFSClient.callGetBlockLocations(DFSClient.java:1142) > ... 71 more > {code} > I've set spark.sql.parquet.cacheMetadata=false, so the error is confusing for > me. > I also found that, we can avoid the error by executing "refresh table > test.`b`" after recreating the table 'b'. > Currently, To avoid the error, I've modified > "spark/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveMetastoreCatalog.scala" > at line of 323, and changed the code: > {code} > val paths = Seq(metastoreRelation.hiveQlTable.getDataLocation.toString) > val cached = getCached(tableIdentifier, paths, metastoreSchema, None) > val parquetRelation = cached.getOrElse { > val created = LogicalRelation( > new ParquetRelation2(paths.toArray, None, None, parquetOptions)(hive)) > cachedDataSourceTables.put(tableIdentifier, created) > created > } > parquetRelation > {code} > to > {code} > val paths = Seq(metastoreRelation.hiveQlTable.getDataLocation.toString) > val parquetRelation = LogicalRelation( > new ParquetRelation2(paths.toArray, None, None, parquetOptions)(hive)) > parquetRelation > {code} > It's working fine for me now. I think this should be a bug of parquet > relation cache. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org