What is the Hive version of your metastore server? Looks like you are using a Hive 1.2's metastore client talking to your existing Hive 0.13.1 metastore server?
On Thu, Sep 10, 2015 at 10:48 AM, Michael Armbrust <mich...@databricks.com> wrote: > Can you open a JIRA? > > On Wed, Sep 9, 2015 at 11:11 PM, StanZhai <m...@zhaishidan.cn> wrote: > >> After upgrade spark from 1.4.1 to 1.5.0, I encountered the following >> exception when use alter table statement in HiveContext: >> >> The sql is: ALTER TABLE a RENAME TO b >> >> The exception is: >> >> FAILED: Execution Error, return code 1 from >> org.apache.hadoop.hive.ql.exec.DDLTask. Unable to alter table. Invalid >> method name: 'alter_table_with_cascade' >> msg: org.apache.spark.sql.execution.QueryExecutionException: FAILED: >> Execution Error, return code 1 from >> org.apache.hadoop.hive.ql.exec.DDLTask. >> Unable to alter table. Invalid method name: 'alter_table_with_cascade' >> at >> >> org.apache.spark.sql.hive.client.ClientWrapper$$anonfun$runHive$1.apply(ClientWrapper.scala:433) >> at >> >> org.apache.spark.sql.hive.client.ClientWrapper$$anonfun$runHive$1.apply(ClientWrapper.scala:418) >> at >> >> org.apache.spark.sql.hive.client.ClientWrapper$$anonfun$withHiveState$1.apply(ClientWrapper.scala:256) >> at >> >> org.apache.spark.sql.hive.client.ClientWrapper.retryLocked(ClientWrapper.scala:211) >> at >> >> org.apache.spark.sql.hive.client.ClientWrapper.withHiveState(ClientWrapper.scala:248) >> at >> >> org.apache.spark.sql.hive.client.ClientWrapper.runHive(ClientWrapper.scala:418) >> at >> >> org.apache.spark.sql.hive.client.ClientWrapper.runSqlHive(ClientWrapper.scala:408) >> at >> org.apache.spark.sql.hive.HiveContext.runSqlHive(HiveContext.scala:558) >> at >> >> org.apache.spark.sql.hive.execution.HiveNativeCommand.run(HiveNativeCommand.scala:33) >> at >> >> org.apache.spark.sql.execution.ExecutedCommand.sideEffectResult$lzycompute(commands.scala:57) >> at >> >> org.apache.spark.sql.execution.ExecutedCommand.sideEffectResult(commands.scala:57) >> at >> >> org.apache.spark.sql.execution.ExecutedCommand.doExecute(commands.scala:69) >> at >> >> org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:140) >> at >> >> org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:138) >> at >> >> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147) >> at >> org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:138) >> at >> >> org.apache.spark.sql.SQLContext$QueryExecution.toRdd$lzycompute(SQLContext.scala:927) >> at >> org.apache.spark.sql.SQLContext$QueryExecution.toRdd(SQLContext.scala:927) >> at org.apache.spark.sql.DataFrame.<init>(DataFrame.scala:144) >> at org.apache.spark.sql.DataFrame.<init>(DataFrame.scala:129) >> at org.apache.spark.sql.DataFrame$.apply(DataFrame.scala:51) >> at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:719) >> at test.service.QueryService.query(QueryService.scala:28) >> at >> test.api.DatabaseApi$$anonfun$query$1.apply(DatabaseApi.scala:39) >> at >> test.api.DatabaseApi$$anonfun$query$1.apply(DatabaseApi.scala:30) >> at test.web.JettyUtils$$anon$1.getOrPost(JettyUtils.scala:81) >> at test.web.JettyUtils$$anon$1.doPost(JettyUtils.scala:119) >> at javax.servlet.http.HttpServlet.service(HttpServlet.java:755) >> at javax.servlet.http.HttpServlet.service(HttpServlet.java:848) >> at >> org.eclipse.jetty.servlet.ServletHolder.handle(ServletHolder.java:684) >> at >> org.eclipse.jetty.servlet.ServletHandler.doHandle(ServletHandler.java:501) >> at >> >> org.eclipse.jetty.server.handler.ContextHandler.doHandle(ContextHandler.java:1086) >> at >> org.eclipse.jetty.servlet.ServletHandler.doScope(ServletHandler.java:428) >> at >> >> org.eclipse.jetty.server.handler.ContextHandler.doScope(ContextHandler.java:1020) >> at >> >> org.eclipse.jetty.server.handler.ScopedHandler.handle(ScopedHandler.java:135) >> at >> org.eclipse.jetty.server.handler.HandlerList.handle(HandlerList.java:52) >> at >> >> org.eclipse.jetty.server.handler.HandlerWrapper.handle(HandlerWrapper.java:116) >> at org.eclipse.jetty.server.Server.handle(Server.java:370) >> at >> >> org.eclipse.jetty.server.AbstractHttpConnection.handleRequest(AbstractHttpConnection.java:494) >> at >> >> org.eclipse.jetty.server.AbstractHttpConnection.content(AbstractHttpConnection.java:982) >> at >> >> org.eclipse.jetty.server.AbstractHttpConnection$RequestHandler.content(AbstractHttpConnection.java:1043) >> at >> org.eclipse.jetty.http.HttpParser.parseNext(HttpParser.java:865) >> at >> org.eclipse.jetty.http.HttpParser.parseAvailable(HttpParser.java:240) >> 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) >> >> The sql can be run both at Spark 1.4.1 and Hive, I think this should be a >> bug of Spark 1.5, Any suggestion? >> >> Best, Stan >> >> >> >> -- >> View this message in context: >> http://apache-spark-developers-list.1001551.n3.nabble.com/SparkSQL-Could-not-alter-table-in-Spark-1-5-use-HiveContext-tp14029.html >> Sent from the Apache Spark Developers List mailing list archive at >> Nabble.com. >> >> --------------------------------------------------------------------- >> To unsubscribe, e-mail: dev-unsubscr...@spark.apache.org >> For additional commands, e-mail: dev-h...@spark.apache.org >> >> >
