Can you show your query ? Thanks
> On Oct 13, 2015, at 12:29 AM, Hafiz Mujadid <hafizmujadi...@gmail.com> wrote: > > hi! > > I am following this > <http://hortonworks.com/hadoop-tutorial/using-hive-with-orc-from-apache-spark/> > > tutorial to read and write from hive. But i am facing following exception > when i run the code. > > 15/10/12 14:57:36 INFO storage.BlockManagerMaster: Registered BlockManager > 15/10/12 14:57:38 INFO scheduler.EventLoggingListener: Logging events to > hdfs://host:9000/spark/logs/local-1444676256555 > Exception in thread "main" java.lang.VerifyError: Bad return type > Exception Details: > Location: > > org/apache/spark/sql/catalyst/expressions/Pmod.inputType()Lorg/apache/spark/sql/types/AbstractDataType; > @3: areturn > Reason: > Type 'org/apache/spark/sql/types/NumericType$' (current frame, stack[0]) > is not assignable to 'org/apache/spark/sql/types/AbstractDataType' (from > method signature) > Current Frame: > bci: @3 > flags: { } > locals: { 'org/apache/spark/sql/catalyst/expressions/Pmod' } > stack: { 'org/apache/spark/sql/types/NumericType$' } > Bytecode: > 0000000: b200 63b0 > > at java.lang.Class.getDeclaredConstructors0(Native Method) > at java.lang.Class.privateGetDeclaredConstructors(Class.java:2595) > at java.lang.Class.getConstructor0(Class.java:2895) > at java.lang.Class.getDeclaredConstructor(Class.java:2066) > at > org.apache.spark.sql.catalyst.analysis.FunctionRegistry$$anonfun$4.apply(FunctionRegistry.scala:267) > at > org.apache.spark.sql.catalyst.analysis.FunctionRegistry$$anonfun$4.apply(FunctionRegistry.scala:267) > at scala.util.Try$.apply(Try.scala:161) > at > org.apache.spark.sql.catalyst.analysis.FunctionRegistry$.expression(FunctionRegistry.scala:267) > at > org.apache.spark.sql.catalyst.analysis.FunctionRegistry$.<init>(FunctionRegistry.scala:148) > at > org.apache.spark.sql.catalyst.analysis.FunctionRegistry$.<clinit>(FunctionRegistry.scala) > at > org.apache.spark.sql.hive.HiveContext.functionRegistry$lzycompute(HiveContext.scala:414) > at > org.apache.spark.sql.hive.HiveContext.functionRegistry(HiveContext.scala:413) > at > org.apache.spark.sql.UDFRegistration.<init>(UDFRegistration.scala:39) > at org.apache.spark.sql.SQLContext.<init>(SQLContext.scala:203) > at > org.apache.spark.sql.hive.HiveContext.<init>(HiveContext.scala:72) > > > Is there any suggestion how to read and write in hive? > > thanks > > > > -- > View this message in context: > http://apache-spark-user-list.1001560.n3.nabble.com/writing-to-hive-tp25046.html > Sent from the Apache Spark User List mailing list archive at Nabble.com. > > --------------------------------------------------------------------- > To unsubscribe, e-mail: user-unsubscr...@spark.apache.org > For additional commands, e-mail: user-h...@spark.apache.org > --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
