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Posted to users@zeppelin.apache.org by Deenar Toraskar <de...@gmail.com> on 2016/02/25 17:28:42 UTC
%sql vs sqlContext.sql for Avro tables
Hi
I have some avro tables and the spark-avro jars referenced in the --jars. I
can query the table successfully using sqlContext.sql("select * from
avroTable"), but get the following error when doing it using %sql select *
from avroTable. Any assistance would be appreciated.
Deenar
sqlContext.sql("select * from avroTable")
java.io.IOException: Class not found
at org.apache.xbean.asm5.ClassReader.a(Unknown Source)
at org.apache.xbean.asm5.ClassReader.<init>(Unknown Source)
at
org.apache.spark.util.ClosureCleaner$.getClassReader(ClosureCleaner.scala:40)
at
org.apache.spark.util.ClosureCleaner$.getInnerClosureClasses(ClosureCleaner.scala:81)
at
org.apache.spark.util.ClosureCleaner$.org$apache$spark$util$ClosureCleaner$$clean(ClosureCleaner.scala:187)
at org.apache.spark.util.ClosureCleaner$.clean(ClosureCleaner.scala:122)
at org.apache.spark.SparkContext.clean(SparkContext.scala:2055)
at org.apache.spark.rdd.RDD$$anonfun$map$1.apply(RDD.scala:324)
at org.apache.spark.rdd.RDD$$anonfun$map$1.apply(RDD.scala:323)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:111)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:316)
at org.apache.spark.rdd.RDD.map(RDD.scala:323)
at
com.databricks.spark.avro.AvroRelation$$anonfun$buildScan$1.apply(AvroRelation.scala:125)
at
com.databricks.spark.avro.AvroRelation$$anonfun$buildScan$1.apply(AvroRelation.scala:120)
at
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
at
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
at
scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:108)
at scala.collection.TraversableLike$class.map(TraversableLike.scala:244)
at scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:108)
at com.databricks.spark.avro.AvroRelation.buildScan(AvroRelation.scala:120)
at
org.apache.spark.sql.sources.HadoopFsRelation.buildScan(interfaces.scala:762)
at
org.apache.spark.sql.sources.HadoopFsRelation.buildScan(interfaces.scala:790)
at
org.apache.spark.sql.sources.HadoopFsRelation.buildInternalScan(interfaces.scala:821)
at
org.apache.spark.sql.sources.HadoopFsRelation.buildInternalScan(interfaces.scala:661)
at
org.apache.spark.sql.execution.datasources.DataSourceStrategy$$anonfun$11$$anonfun$13.apply(DataSourceStrategy.scala:158)
at
org.apache.spark.sql.execution.datasources.DataSourceStrategy$$anonfun$11$$anonfun$13.apply(DataSourceStrategy.scala:154)
at
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
at
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
at
scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:108)
at scala.collection.TraversableLike$class.map(TraversableLike.scala:244)
at scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:108)
at
org.apache.spark.sql.execution.datasources.DataSourceStrategy$$anonfun$11.apply(DataSourceStrategy.scala:154)
at
org.apache.spark.sql.execution.datasources.DataSourceStrategy$$anonfun$11.apply(DataSourceStrategy.scala:149)
at
org.apache.spark.sql.execution.datasources.DataSourceStrategy$$anonfun$pruneFilterProject$1.apply(DataSourceStrategy.scala:274)
at
org.apache.spark.sql.execution.datasources.DataSourceStrategy$$anonfun$pruneFilterProject$1.apply(DataSourceStrategy.scala:273)
at
org.apache.spark.sql.execution.datasources.DataSourceStrategy$.pruneFilterProjectRaw(DataSourceStrategy.scala:352)
at
org.apache.spark.sql.execution.datasources.DataSourceStrategy$.pruneFilterProject(DataSourceStrategy.scala:269)
at
org.apache.spark.sql.execution.datasources.DataSourceStrategy$.buildPartitionedTableScan(DataSourceStrategy.scala:184)
at
org.apache.spark.sql.execution.datasources.DataSourceStrategy$.apply(DataSourceStrategy.scala:91)
at
org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58)
at
org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58)
at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
at
org.apache.spark.sql.catalyst.planning.QueryPlanner.plan(QueryPlanner.scala:59)
at
org.apache.spark.sql.catalyst.planning.QueryPlanner.planLater(QueryPlanner.scala:54)
at
org.apache.spark.sql.execution.SparkStrategies$BasicOperators$.apply(SparkStrategies.scala:349)
at
org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58)
at
org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58)
at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
at
org.apache.spark.sql.catalyst.planning.QueryPlanner.plan(QueryPlanner.scala:59)
at
org.apache.spark.sql.execution.QueryExecution.sparkPlan$lzycompute(QueryExecution.scala:47)
at
org.apache.spark.sql.execution.QueryExecution.sparkPlan(QueryExecution.scala:45)
at
org.apache.spark.sql.execution.QueryExecution.executedPlan$lzycompute(QueryExecution.scala:52)
at
org.apache.spark.sql.execution.QueryExecution.executedPlan(QueryExecution.scala:52)
at org.apache.spark.sql.DataFrame.withCallback(DataFrame.scala:2134)
at org.apache.spark.sql.DataFrame.head(DataFrame.scala:1413)
at org.apache.spark.sql.DataFrame.take(DataFrame.scala:1495)
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.zeppelin.spark.ZeppelinContext.showDF(ZeppelinContext.java:301)
at
org.apache.zeppelin.spark.SparkSqlInterpreter.interpret(SparkSqlInterpreter.java:144)
at
org.apache.zeppelin.interpreter.ClassloaderInterpreter.interpret(ClassloaderInterpreter.java:57)
at
org.apache.zeppelin.interpreter.LazyOpenInterpreter.interpret(LazyOpenInterpreter.java:93)
at
org.apache.zeppelin.interpreter.remote.RemoteInterpreterServer$InterpretJob.jobRun(RemoteInterpreterServer.java:299)
at org.apache.zeppelin.scheduler.Job.run(Job.java:171)
at org.apache.zeppelin.scheduler.FIFOScheduler$1.run(FIFOScheduler.java:139)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at
java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201(ScheduledThreadPoolExecutor.java:180)
at
java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Re: %sql vs sqlContext.sql for Avro tables
Posted by mina lee <mi...@apache.org>.
Hi Deenar,
it is known issue that dependencies added with --jar option load the
libraries only to spark interpreter, but not to pyspark, spark sql
interpreter. As an alternative Zeppelin provides another way of dependency
loading [1], which is supported only in dev branch at the moment. Could you
please try this out with latest master branch?
[1]
https://zeppelin.incubator.apache.org/docs/0.6.0-incubating-SNAPSHOT/manual/dependencymanagement.html
On Fri, Feb 26, 2016 at 1:28 AM, Deenar Toraskar <de...@gmail.com>
wrote:
> Hi
>
> I have some avro tables and the spark-avro jars referenced in the --jars.
> I can query the table successfully using sqlContext.sql("select * from
> avroTable"), but get the following error when doing it using %sql select *
> from avroTable. Any assistance would be appreciated.
>
> Deenar
>
> sqlContext.sql("select * from avroTable")
> java.io.IOException: Class not found
> at org.apache.xbean.asm5.ClassReader.a(Unknown Source)
> at org.apache.xbean.asm5.ClassReader.<init>(Unknown Source)
> at
> org.apache.spark.util.ClosureCleaner$.getClassReader(ClosureCleaner.scala:40)
> at
> org.apache.spark.util.ClosureCleaner$.getInnerClosureClasses(ClosureCleaner.scala:81)
> at
> org.apache.spark.util.ClosureCleaner$.org$apache$spark$util$ClosureCleaner$$clean(ClosureCleaner.scala:187)
> at org.apache.spark.util.ClosureCleaner$.clean(ClosureCleaner.scala:122)
> at org.apache.spark.SparkContext.clean(SparkContext.scala:2055)
> at org.apache.spark.rdd.RDD$$anonfun$map$1.apply(RDD.scala:324)
> at org.apache.spark.rdd.RDD$$anonfun$map$1.apply(RDD.scala:323)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:111)
> at org.apache.spark.rdd.RDD.withScope(RDD.scala:316)
> at org.apache.spark.rdd.RDD.map(RDD.scala:323)
> at
> com.databricks.spark.avro.AvroRelation$$anonfun$buildScan$1.apply(AvroRelation.scala:125)
> at
> com.databricks.spark.avro.AvroRelation$$anonfun$buildScan$1.apply(AvroRelation.scala:120)
> at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
> at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
> at
> scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
> at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:108)
> at scala.collection.TraversableLike$class.map(TraversableLike.scala:244)
> at scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:108)
> at com.databricks.spark.avro.AvroRelation.buildScan(AvroRelation.scala:120)
> at
> org.apache.spark.sql.sources.HadoopFsRelation.buildScan(interfaces.scala:762)
> at
> org.apache.spark.sql.sources.HadoopFsRelation.buildScan(interfaces.scala:790)
> at
> org.apache.spark.sql.sources.HadoopFsRelation.buildInternalScan(interfaces.scala:821)
> at
> org.apache.spark.sql.sources.HadoopFsRelation.buildInternalScan(interfaces.scala:661)
> at
> org.apache.spark.sql.execution.datasources.DataSourceStrategy$$anonfun$11$$anonfun$13.apply(DataSourceStrategy.scala:158)
> at
> org.apache.spark.sql.execution.datasources.DataSourceStrategy$$anonfun$11$$anonfun$13.apply(DataSourceStrategy.scala:154)
> at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
> at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
> at
> scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
> at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:108)
> at scala.collection.TraversableLike$class.map(TraversableLike.scala:244)
> at scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:108)
> at
> org.apache.spark.sql.execution.datasources.DataSourceStrategy$$anonfun$11.apply(DataSourceStrategy.scala:154)
> at
> org.apache.spark.sql.execution.datasources.DataSourceStrategy$$anonfun$11.apply(DataSourceStrategy.scala:149)
> at
> org.apache.spark.sql.execution.datasources.DataSourceStrategy$$anonfun$pruneFilterProject$1.apply(DataSourceStrategy.scala:274)
> at
> org.apache.spark.sql.execution.datasources.DataSourceStrategy$$anonfun$pruneFilterProject$1.apply(DataSourceStrategy.scala:273)
> at
> org.apache.spark.sql.execution.datasources.DataSourceStrategy$.pruneFilterProjectRaw(DataSourceStrategy.scala:352)
> at
> org.apache.spark.sql.execution.datasources.DataSourceStrategy$.pruneFilterProject(DataSourceStrategy.scala:269)
> at
> org.apache.spark.sql.execution.datasources.DataSourceStrategy$.buildPartitionedTableScan(DataSourceStrategy.scala:184)
> at
> org.apache.spark.sql.execution.datasources.DataSourceStrategy$.apply(DataSourceStrategy.scala:91)
> at
> org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58)
> at
> org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58)
> at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
> at
> org.apache.spark.sql.catalyst.planning.QueryPlanner.plan(QueryPlanner.scala:59)
> at
> org.apache.spark.sql.catalyst.planning.QueryPlanner.planLater(QueryPlanner.scala:54)
> at
> org.apache.spark.sql.execution.SparkStrategies$BasicOperators$.apply(SparkStrategies.scala:349)
> at
> org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58)
> at
> org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58)
> at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
> at
> org.apache.spark.sql.catalyst.planning.QueryPlanner.plan(QueryPlanner.scala:59)
> at
> org.apache.spark.sql.execution.QueryExecution.sparkPlan$lzycompute(QueryExecution.scala:47)
> at
> org.apache.spark.sql.execution.QueryExecution.sparkPlan(QueryExecution.scala:45)
> at
> org.apache.spark.sql.execution.QueryExecution.executedPlan$lzycompute(QueryExecution.scala:52)
> at
> org.apache.spark.sql.execution.QueryExecution.executedPlan(QueryExecution.scala:52)
> at org.apache.spark.sql.DataFrame.withCallback(DataFrame.scala:2134)
> at org.apache.spark.sql.DataFrame.head(DataFrame.scala:1413)
> at org.apache.spark.sql.DataFrame.take(DataFrame.scala:1495)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:497)
> at
> org.apache.zeppelin.spark.ZeppelinContext.showDF(ZeppelinContext.java:301)
> at
> org.apache.zeppelin.spark.SparkSqlInterpreter.interpret(SparkSqlInterpreter.java:144)
> at
> org.apache.zeppelin.interpreter.ClassloaderInterpreter.interpret(ClassloaderInterpreter.java:57)
> at
> org.apache.zeppelin.interpreter.LazyOpenInterpreter.interpret(LazyOpenInterpreter.java:93)
> at
> org.apache.zeppelin.interpreter.remote.RemoteInterpreterServer$InterpretJob.jobRun(RemoteInterpreterServer.java:299)
> at org.apache.zeppelin.scheduler.Job.run(Job.java:171)
> at
> org.apache.zeppelin.scheduler.FIFOScheduler$1.run(FIFOScheduler.java:139)
> at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
> at java.util.concurrent.FutureTask.run(FutureTask.java:266)
> at
> java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201(ScheduledThreadPoolExecutor.java:180)
> at
> java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
>