Hi,
When we execute drop partition command on hive external
table from spark-shell we are getting below error.Same command works
fine from hive shell.
Spark Version : 1.5.2
**************************************************
Partition exists and drop partition command works fine in Hive shell.
I had 3 partition and then issued hive drop partition command and it got succeeded.
hive> show partitions spark_2_test;
OK
server_date=2016-10-10
server_date=2016-10-11
server_date=2016-10-13
hive> ALTER TABLE spark_2_test DROP PARTITION (server_date='2016-10-13');
Dropped the partition server_date=2016-10-13
OK
Time taken: 0.217 seconds
hive> show partitions spark_2_test;
OK
server_date=2016-10-10
server_date=2016-10-11
****************************************************
Execute same from spark shell (throws "partition not found" error even though it is present).
scala> hiveCtx.sql("show partitions spark_2_test").collect().foreach(println);
[server_date=2016-10-10]
[server_date=2016-10-11]
scala> hiveCtx.sql("ALTER TABLE spark_2_test DROP PARTITION (server_date='2016-10-10')")
17/01/26 19:28:39 ERROR Driver: FAILED: SemanticException [Error 10006]: Partition not found (server_date = 2016-10-10)
org.apache.hadoop.hive.ql.parse.SemanticException: Partition not found (server_date = 2016-10-10)
at org.apache.hadoop.hive.ql.parse.DDLSemanticAnalyzer.addTableDropPartsOutputs(DDLSemanticAnalyzer.java:3178)
at org.apache.hadoop.hive.ql.parse.DDLSemanticAnalyzer.analyzeAlterTableDropParts(DDLSemanticAnalyzer.java:2694)
at org.apache.hadoop.hive.ql.parse.DDLSemanticAnalyzer.analyzeInternal(DDLSemanticAnalyzer.java:278)
at org.apache.hadoop.hive.ql.parse.BaseSemanticAnalyzer.analyze(BaseSemanticAnalyzer.java:227)
at org.apache.hadoop.hive.ql.Driver.compile(Driver.java:424)
at org.apache.hadoop.hive.ql.Driver.compile(Driver.java:308)
at org.apache.hadoop.hive.ql.Driver.compileInternal(Driver.java:1122)
at org.apache.hadoop.hive.ql.Driver.runInternal(Driver.java:1170)
at org.apache.hadoop.hive.ql.Driver.run(Driver.java:1059)
at org.apache.hadoop.hive.ql.Driver.run(Driver.java:1049)
at org.apache.spark.sql.hive.client.ClientWrapper$$anonfun$runHive$1.apply(ClientWrapper.scala:451)
at org.apache.spark.sql.hive.client.ClientWrapper$$anonfun$runHive$1.apply(ClientWrapper.scala:440)
at org.apache.spark.sql.hive.client.ClientWrapper$$anonfun$withHiveState$1.apply(ClientWrapper.scala:278)
at org.apache.spark.sql.hive.client.ClientWrapper.retryLocked(ClientWrapper.scala:233)
at org.apache.spark.sql.hive.client.ClientWrapper.withHiveState(ClientWrapper.scala:270)
at org.apache.spark.sql.hive.client.ClientWrapper.runHive(ClientWrapper.scala:440)
at org.apache.spark.sql.hive.client.ClientWrapper.runSqlHive(ClientWrapper.scala:430)
at org.apache.spark.sql.hive.HiveContext.runSqlHive(HiveContext.scala:561)
at org.apache.spark.sql.hive.execution.HiveNativeCommand.run(HiveNativeCommand.scala:33)
at org.apache.spark.sql.execution.ExecutedCommand.sideEffectResult$lzycompute(commands.scala:57)
at org.apache.spark.sql.execution.ExecutedCommand.sideEffectResult(commands.scala:57)
at org.apache.spark.sql.execution.ExecutedCommand.doExecute(commands.scala:69)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:140)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:138)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147)
at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:138)
at org.apache.spark.sql.SQLContext$QueryExecution.toRdd$lzycompute(SQLContext.scala:933)
at org.apache.spark.sql.SQLContext$QueryExecution.toRdd(SQLContext.scala:933)
at org.apache.spark.sql.DataFrame.<init>(DataFrame.scala:144)
at org.apache.spark.sql.DataFrame.<init>(DataFrame.scala:129)
at org.apache.spark.sql.DataFrame$.apply(DataFrame.scala:51)
at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:725)
at $line69.$read$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:24)
at $line69.$read$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:29)
at $line69.$read$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:31)
at $line69.$read$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:33)
at $line69.$read$$iwC$$iwC$$iwC$$iwC.<init>(<console>:35)
at $line69.$read$$iwC$$iwC$$iwC.<init>(<console>:37)
at $line69.$read$$iwC$$iwC.<init>(<console>:39)
at $line69.$read$$iwC.<init>(<console>:41)
at $line69.$read.<init>(<console>:43)
at $line69.$read$.<init>(<console>:47)
at $line69.$read$.<clinit>(<console>)
at $line69.$eval$.<init>(<console>:7)
at $line69.$eval$.<clinit>(<console>)
at $line69.$eval.$print(<console>)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:497)
at org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:1065)
at org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1340)
at org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:840)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819)
at org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:857)
at org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:902)
at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:814)
at org.apache.spark.repl.SparkILoop.processLine$1(SparkILoop.scala:657)
at org.apache.spark.repl.SparkILoop.innerLoop$1(SparkILoop.scala:665)
at org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$loop(SparkILoop.scala:670)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply$mcZ$sp(SparkILoop.scala:997)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945)
at scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135)
at org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$process(SparkILoop.scala:945)
at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:1059)
at org.apache.spark.repl.Main$.main(Main.scala:31)
at org.apache.spark.repl.Main.main(Main.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:497)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:685)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:180)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:205)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:120)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: MetaException(message:Unable to find class: 㐀org.apache.hadoop.hive.ql.udf.generic.G
Serialization trace:
typeInfo (org.apache.hadoop.hive.ql.plan.ExprNodeGenericFuncDesc))
at org.apache.hadoop.hive.metastore.api.ThriftHiveMetastore$get_partitions_by_expr_result$get_partitions_by_expr_resultStandardScheme.read(ThriftHiveMetastore.java)
at org.apache.hadoop.hive.metastore.api.ThriftHiveMetastore$get_partitions_by_expr_result$get_partitions_by_expr_resultStandardScheme.read(ThriftHiveMetastore.java)
at org.apache.hadoop.hive.metastore.api.ThriftHiveMetastore$get_partitions_by_expr_result.read(ThriftHiveMetastore.java)
at org.apache.thrift.TServiceClient.receiveBase(TServiceClient.java:78)
at org.apache.hadoop.hive.metastore.api.ThriftHiveMetastore$Client.recv_get_partitions_by_expr(ThriftHiveMetastore.java:2277)
at org.apache.hadoop.hive.metastore.api.ThriftHiveMetastore$Client.get_partitions_by_expr(ThriftHiveMetastore.java:2264)
at org.apache.hadoop.hive.metastore.HiveMetaStoreClient.listPartitionsByExpr(HiveMetaStoreClient.java:1130)
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:497)
at org.apache.hadoop.hive.metastore.RetryingMetaStoreClient.invoke(RetryingMetaStoreClient.java:156)
at com.sun.proxy.$Proxy44.listPartitionsByExpr(Unknown Source)
at org.apache.hadoop.hive.ql.metadata.Hive.getPartitionsByExpr(Hive.java:2289)
at org.apache.hadoop.hive.ql.parse.DDLSemanticAnalyzer.addTableDropPartsOutputs(DDLSemanticAnalyzer.java:3176)
... 77 more
17/01/26 19:28:39 ERROR ClientWrapper:
======================
HIVE FAILURE OUTPUT
======================
SET hive.support.sql11.reserved.keywords=false
FAILED: Execution Error, return code 1 from org.apache.hadoop.hive.ql.exec.DDLTask. AlreadyExistsException(message:Table spark_3_test already exists)
OK
OK
OK
OK
FAILED: SemanticException [Error 10006]: Partition not found (server_date = 2016-10-10)
FAILED: Execution Error, return code 1 from org.apache.hadoop.hive.ql.exec.DDLTask. AlreadyExistsException(message:Partition already exists: Partition(values:[2016-10-10], dbName:default, tableName:spark_3_test, createTime:0, lastAccessTime:0, sd:StorageDescriptor(cols:[FieldSchema(name:name, type:string, comment:null), FieldSchema(name:dept, type:string, comment:null)], location:null, inputFormat:org.apache.hadoop.hive.ql.io.orc.OrcInputFormat, outputFormat:org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat, compressed:false, numBuckets:2, serdeInfo:SerDeInfo(name:null, serializationLib:org.apache.hadoop.hive.ql.io.orc.OrcSerde, parameters:{serialization.format=1}), bucketCols:[dept], sortCols:[Order(col:dept, order:1)], parameters:{}, skewedInfo:SkewedInfo(skewedColNames:[], skewedColValues:[], skewedColValueLocationMaps:{}), storedAsSubDirectories:false), parameters:null))
FAILED: SemanticException [Error 10006]: Partition not found (server_date = 2016-10-10)
OK
OK
OK
FAILED: SemanticException [Error 10006]: Partition not found (server_date = 2016-10-23)
OK
FAILED: SemanticException [Error 10006]: Partition not found (server_date = 2016-10-23)
OK
FAILED: SemanticException [Error 10006]: Partition not found (server_date = 2016-10-10)
======================
END HIVE FAILURE OUTPUT
======================
org.apache.spark.sql.execution.QueryExecutionException: FAILED: SemanticException [Error 10006]: Partition not found (server_date = 2016-10-10)
at org.apache.spark.sql.hive.client.ClientWrapper$$anonfun$runHive$1.apply(ClientWrapper.scala:455)
at org.apache.spark.sql.hive.client.ClientWrapper$$anonfun$runHive$1.apply(ClientWrapper.scala:440)
at org.apache.spark.sql.hive.client.ClientWrapper$$anonfun$withHiveState$1.apply(ClientWrapper.scala:278)
at org.apache.spark.sql.hive.client.ClientWrapper.retryLocked(ClientWrapper.scala:233)
at org.apache.spark.sql.hive.client.ClientWrapper.withHiveState(ClientWrapper.scala:270)
at org.apache.spark.sql.hive.client.ClientWrapper.runHive(ClientWrapper.scala:440)
at org.apache.spark.sql.hive.client.ClientWrapper.runSqlHive(ClientWrapper.scala:430)
at org.apache.spark.sql.hive.HiveContext.runSqlHive(HiveContext.scala:561)
at org.apache.spark.sql.hive.execution.HiveNativeCommand.run(HiveNativeCommand.scala:33)
at org.apache.spark.sql.execution.ExecutedCommand.sideEffectResult$lzycompute(commands.scala:57)
at org.apache.spark.sql.execution.ExecutedCommand.sideEffectResult(commands.scala:57)
at org.apache.spark.sql.execution.ExecutedCommand.doExecute(commands.scala:69)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:140)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:138)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147)
at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:138)
at org.apache.spark.sql.SQLContext$QueryExecution.toRdd$lzycompute(SQLContext.scala:933)
at org.apache.spark.sql.SQLContext$QueryExecution.toRdd(SQLContext.scala:933)
at org.apache.spark.sql.DataFrame.<init>(DataFrame.scala:144)
at org.apache.spark.sql.DataFrame.<init>(DataFrame.scala:129)
at org.apache.spark.sql.DataFrame$.apply(DataFrame.scala:51)
at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:725)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:24)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:29)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:31)
at $iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:33)
at $iwC$$iwC$$iwC$$iwC.<init>(<console>:35)
at $iwC$$iwC$$iwC.<init>(<console>:37)
at $iwC$$iwC.<init>(<console>:39)
at $iwC.<init>(<console>:41)
at <init>(<console>:43)
at .<init>(<console>:47)
Thanks
Subacini
