Thanks for digging in! These both look like they should have JIRAs.
On Fri, Oct 3, 2014 at 8:14 AM, Yana Kadiyska <[email protected]>
wrote:
> Thanks -- it does appear that I misdiagnosed a bit: case works generally
> but it doesn't seem to like the bit operation, which does not seem to work
> (type of bit_field in Hive is bigint):
>
> Error: java.lang.RuntimeException:
> Unsupported language features in query: select (case when bit_field & 1=1
> then r_end - r_start else NULL end) from mytable where pkey='0178-2014-07'
> LIMIT 2
> TOK_QUERY
> TOK_FROM
> TOK_TABREF
> TOK_TABNAME
> mytable
> TOK_INSERT
> TOK_DESTINATION
> TOK_DIR
> TOK_TMP_FILE
> TOK_SELECT
> TOK_SELEXPR
> TOK_FUNCTION
> when
> =
> &
> TOK_TABLE_OR_COL
> bit_field
> 1
> 1
> -
> TOK_TABLE_OR_COL
> r_end
> TOK_TABLE_OR_COL
> r_start
> TOK_NULL
> TOK_WHERE
> =
> TOK_TABLE_OR_COL
> pkey
> '0178-2014-07'
> TOK_LIMIT
> 2
>
>
> SQLState: null
> ErrorCode: 0
>
>
>
> similarly, concat seems to work but I get a failure in this query (due to
> LPAD I believe) :
>
> select customer_id from mytable where
> pkey=concat_ws('-',LPAD('077',4,'0'),'2014-07') LIMIT 2
>
> (there is something going on with the fact that the function is in the
> where clause....the following work fine:
>
> select concat_ws('-', LPAD(cast(112717 % 1024 AS STRING),4,'0'),'2014-07')
> from mytable where pkey='0077-2014-07' LIMIT 2 select customer_id from
> mytable where pkey=concat_ws('-','0077','2014-07') LIMIT 2
>
> )
>
> 14/10/03 14:51:35 ERROR server.SparkSQLOperationManager: Error executing
> query:
> org.apache.spark.SparkException: Task not serializable
> at
> org.apache.spark.util.ClosureCleaner$.ensureSerializable(ClosureCleaner.scala:166)
> at
> org.apache.spark.util.ClosureCleaner$.clean(ClosureCleaner.scala:158)
> at org.apache.spark.SparkContext.clean(SparkContext.scala:1242)
> at org.apache.spark.rdd.RDD.mapPartitions(RDD.scala:597)
> at
> org.apache.spark.sql.execution.Limit.execute(basicOperators.scala:146)
> at
> org.apache.spark.sql.hive.HiveContext$QueryExecution.toRdd$lzycompute(HiveContext.scala:360)
> at
> org.apache.spark.sql.hive.HiveContext$QueryExecution.toRdd(HiveContext.scala:360)
> at
> org.apache.spark.sql.hive.thriftserver.server.SparkSQLOperationManager$$anon$1.run(SparkSQLOperationManager.scala:185)
> at
> org.apache.hive.service.cli.session.HiveSessionImpl.executeStatementInternal(HiveSessionImpl.java:193)
> at
> org.apache.hive.service.cli.session.HiveSessionImpl.executeStatement(HiveSessionImpl.java:175)
> at
> org.apache.hive.service.cli.CLIService.executeStatement(CLIService.java:150)
> at
> org.apache.hive.service.cli.thrift.ThriftCLIService.ExecuteStatement(ThriftCLIService.java:207)
> at
> org.apache.hive.service.cli.thrift.TCLIService$Processor$ExecuteStatement.getResult(TCLIService.java:1133)
> at
> org.apache.hive.service.cli.thrift.TCLIService$Processor$ExecuteStatement.getResult(TCLIService.java:1118)
> at org.apache.thrift.ProcessFunction.process(ProcessFunction.java:39)
> at org.apache.thrift.TBaseProcessor.process(TBaseProcessor.java:39)
> at
> org.apache.hive.service.auth.TUGIContainingProcessor$1.run(TUGIContainingProcessor.java:58)
> at
> org.apache.hive.service.auth.TUGIContainingProcessor$1.run(TUGIContainingProcessor.java:55)
> at java.security.AccessController.doPrivileged(Native Method)
> at javax.security.auth.Subject.doAs(Subject.java:415)
> at
> org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1408)
> at
> org.apache.hadoop.hive.shims.HadoopShimsSecure.doAs(HadoopShimsSecure.java:526)
> at
> org.apache.hive.service.auth.TUGIContainingProcessor.process(TUGIContainingProcessor.java:55)
> at
> org.apache.thrift.server.TThreadPoolServer$WorkerProcess.run(TThreadPoolServer.java:206)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> at java.lang.Thread.run(Thread.java:744)
> Caused by: java.io.NotSerializableException: java.lang.reflect.Constructor
> at
> java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1183)
> at
> java.io.ObjectOutputStream.defaultWriteFields(ObjectOutputStream.java:1547)
> at
> java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:1508)
> at
> java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.java:1431)
> at
> java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1177)
> at java.io.ObjectOutputStream.writeArray(ObjectOutputStream.java:1377)
> at
> java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1173)
> at
> java.io.ObjectOutputStream.defaultWriteFields(ObjectOutputStream.java:1547)
> at
> java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:1508)
> at
> java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.java:1431)
> at
> java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1177)
> at java.io.ObjectOutputStream.writeObject(ObjectOutputStream.java:347)
> at scala.collection.immutable.$colon$colon.writeObject(List.scala:379)
> at sun.reflect.GeneratedMethodAccessor3.invoke(Unknown Source)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
>
>
>
>
> Let me know if any of these warrant a JIRA
>
> thanks
>
>
>
>
> On Thu, Oct 2, 2014 at 2:00 PM, Michael Armbrust <[email protected]>
> wrote:
>
>> What are the errors you are seeing. All of those functions should work.
>>
>> On Thu, Oct 2, 2014 at 6:56 AM, Yana Kadiyska <[email protected]>
>> wrote:
>>
>>> Hi, in an effort to migrate off of Shark I recently tried the Thrift
>>> JDBC server that comes with Spark 1.1.0.
>>>
>>> However I observed that conditional functions do not work (I tried
>>> 'case' and 'coalesce')
>>>
>>> some string functions like 'concat' also did not work.
>>>
>>> Is there a list of what's missing or a roadmap of when it will be added?
>>> (I know percentiles are pending, for example but do not see JIRAs for the
>>> others in this email).
>>>
>>
>>
>
