Yunfeng Lin created ZEPPELIN-648:
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Summary: jar dependencies loaded in %spark but not %sql in spark
1.6/zeppelin 0.5.6
Key: ZEPPELIN-648
URL: https://issues.apache.org/jira/browse/ZEPPELIN-648
Project: Zeppelin
Issue Type: Bug
Affects Versions: 0.5.6
Environment: RHEL, java 1.7
Reporter: Yunfeng Lin
Hi guys,
I can load spark-csv dependencies in %spark, but I cannot in %sql using apache
zeppelin 0.5.6 with spark 1.6.0. Everything is working fine in zeppelin 0.5.5
with spark 1.5 previously.
I am loading spark csv dependencies (https://github.com/databricks/spark-csv)
Using:
%dep
z.load(“PATH/commons-csv-1.1.jar”)
z.load(“PATH/spark-csv_2.10-1.3.0.jar”)
z.load(“PATH/univocity-parsers-1.5.1.jar:)
z.load(“PATH/scala-library-2.10.5.jar”)
I am able to load a csv from hdfs using data frame API in spark. It is running
perfect fine.
%spark
val df = sqlContext.read
.format("com.databricks.spark.csv")
.option("header", "false") // Use finrst line of all files as header
.option("inferSchema", "true") // Automatically infer data types
.load("hdfs://sd-6f48-7fe6:8020/tmp/people.txt") // this is a file in HDFS
df.registerTempTable("people")
df.show()
This also work:
%spark
val df2=sqlContext.sql(“select * from people”)
df2.show()
But this doesn’t work….
%sql
select * from people
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:270) 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:90) at
com.databricks.spark.csv.CsvRelation.buildScan(CsvRelation.scala:104) at
com.databricks.spark.csv.CsvRelation.buildScan(CsvRelation.scala:152) 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$lzycompute(QueryExecution.scala:52)
at
org.apache.spark.sql.execution.QueryExecution.executedPlan(QueryExecution.scala:52)
at org.apache.spark.sql.DataFrame.withCallback(DataFrame.scala:2134) at
org.apache.spark.sql.DataFrame.head(DataFrame.scala:1413) at
org.apache.spark.sql.DataFrame.take(DataFrame.scala:1495) at
sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606) at
org.apache.zeppelin.spark.ZeppelinContext.showDF(ZeppelinContext.java:297) at
org.apache.zeppelin.spark.SparkSqlInterpreter.interpret(SparkSqlInterpreter.java:144)
at
org.apache.zeppelin.interpreter.ClassloaderInterpreter.interpret(ClassloaderInterpreter.java:57)
at
org.apache.zeppelin.interpreter.LazyOpenInterpreter.interpret(LazyOpenInterpreter.java:93)
at
org.apache.zeppelin.interpreter.remote.RemoteInterpreterServer$InterpretJob.jobRun(RemoteInterpreterServer.java:300)
at org.apache.zeppelin.scheduler.Job.run(Job.java:169) at
org.apache.zeppelin.scheduler.FIFOScheduler$1.run(FIFOScheduler.java:134) at
java.util.concurrent.Executors$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$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
I notice that in the source code of spark interpreter (class:
org.apache.zeppelin.spark.ZeppelinContext. There are something different
between spark 1.5 and spark 1.6. Spark 1.5 is using SQLContext while Spark 1.6
is HiveContext. Unfortunately, no matter true or false are set in
zeppelin.spark.useHiveContext, %sql just can’t find csv dependencies …
try {
// Use reflection because of classname returned by queryExecution changes from
// Spark <1.5.2 org.apache.spark.sql.SQLContext$QueryExecution
// Spark 1.6.0> org.apache.spark.sql.hive.HiveContext$QueryExecution
Object qe = df.getClass().getMethod("queryExecution").invoke(df);
Object a = qe.getClass().getMethod("analyzed").invoke(qe);
scala.collection.Seq seq = (scala.collection.Seq)
a.getClass().getMethod("output").invoke(a);
columns = (List<Attribute>)
scala.collection.JavaConverters.seqAsJavaListConverter(seq)
.asJava();
} catch (NoSuchMethodException | SecurityException | IllegalAccessException
| IllegalArgumentException | InvocationTargetException e) {
throw new InterpreterException(e);
}
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