Raphaël Luta created ZEPPELIN-733:
-------------------------------------
Summary: SparkSqlInterpreter fails to execute query with spark-csv
Key: ZEPPELIN-733
URL: https://issues.apache.org/jira/browse/ZEPPELIN-733
Project: Zeppelin
Issue Type: Bug
Components: Interpreters, zeppelin-interpreter
Affects Versions: 0.6.0
Environment: spark 1.6.0
spark-csv 1.3.0
Reporter: Raphaël Luta
If I run this code in a spark interpreter cell
```
val df = sqlContext.read.format("com.databricks.spark.csv").load("mycsv")
df.registerTempTable("testbug")
```
and then run this code in a new %spark cell:
```
println("%table\nC0\n")
sqlContext.sql("""select * from
testbug""").collect().take(100).map(_.getString(0)).foreach(println)
```
I get the expected result displayed in a Zeppelin table, however if I run in a
new %sql cell:
```
%sql
select * from testbug
```
I get the following stacktrace:
```
java.lang.ClassNotFoundException:
com.databricks.spark.csv.CsvRelation$$anonfun$1$$anonfun$2
at java.net.URLClassLoader$1.run(URLClassLoader.java:366)
at java.net.URLClassLoader$1.run(URLClassLoader.java:355)
at java.security.AccessController.doPrivileged(Native Method)
at java.net.URLClassLoader.findClass(URLClassLoader.java:354)
at java.lang.ClassLoader.loadClass(ClassLoader.java:425)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:308)
at java.lang.ClassLoader.loadClass(ClassLoader.java:358)
at java.lang.Class.forName0(Native Method)
at java.lang.Class.forName(Class.java:278)
at
org.apache.spark.util.InnerClosureFinder$$anon$4.visitMethodInsn(ClosureCleaner.scala:435)
at org.apache.xbean.asm5.ClassReader.a(Unknown Source)
at org.apache.xbean.asm5.ClassReader.b(Unknown Source)
at org.apache.xbean.asm5.ClassReader.accept(Unknown Source)
at org.apache.xbean.asm5.ClassReader.accept(Unknown Source)
at
org.apache.spark.util.ClosureCleaner$.getInnerClosureClasses(ClosureCleaner.scala:84)
at
org.apache.spark.util.ClosureCleaner$.org$apache$spark$util$ClosureCleaner$$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$$anonfun$mapPartitions$1.apply(RDD.scala:707)
at
org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1.apply(RDD.scala:706)
at
org.apache.spark.rdd.RDDOperationScope$.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.mapPartitions(RDD.scala:706)
at com.databricks.spark.csv.CsvRelation.tokenRdd(CsvRelation.scala:91)
at com.databricks.spark.csv.CsvRelation.buildScan(CsvRelation.scala:106)
at com.databricks.spark.csv.CsvRelation.buildScan(CsvRelation.scala:163)
at
org.apache.spark.sql.execution.datasources.DataSourceStrategy$$anonfun$4.apply(DataSourceStrategy.scala:64)
at
org.apache.spark.sql.execution.datasources.DataSourceStrategy$$anonfun$4.apply(DataSourceStrategy.scala:64)
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$.pruneFilterProject(DataSourceStrategy.scala:269)
at
org.apache.spark.sql.execution.datasources.DataSourceStrategy$.apply(DataSourceStrategy.scala:60)
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$lzycompute(QueryExecution.scala:52)
at
org.apache.spark.sql.execution.QueryExecution.executedPlan(QueryExecution.scala:52)
at org.apache.spark.sql.DataFrame.withCallback(DataFrame.scala:2134)
at org.apache.spark.sql.DataFrame.head(DataFrame.scala:1413)
at org.apache.spark.sql.DataFrame.take(DataFrame.scala:1495)
at sun.reflect.GeneratedMethodAccessor96.invoke(Unknown Source)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at
org.apache.zeppelin.spark.ZeppelinContext.showDF(ZeppelinContext.java:176)
at
org.apache.zeppelin.spark.SparkSqlInterpreter.interpret(SparkSqlInterpreter.java:144)
at
org.apache.zeppelin.interpreter.ClassloaderInterpreter.interpret(ClassloaderInterpreter.java:57)
at
org.apache.zeppelin.interpreter.LazyOpenInterpreter.interpret(LazyOpenInterpreter.java:93)
at
org.apache.zeppelin.interpreter.remote.RemoteInterpreterServer$InterpretJob.jobRun(RemoteInterpreterServer.java:312)
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:471)
at java.util.concurrent.FutureTask.run(FutureTask.java:262)
at
java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201(ScheduledThreadPoolExecutor.java:178)
at
java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:292)
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:745)
```
Expected result is that the %sql cell should produce the same result as the
manual spark formatting.
Notes:
This bug does not manifest if the DataFrame is cached before executing the
SELECT statement
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