Weizhong created SPARK-8071:
-------------------------------
Summary: Run PySpark dataframe.rollup/cube test failed
Key: SPARK-8071
URL: https://issues.apache.org/jira/browse/SPARK-8071
Project: Spark
Issue Type: Bug
Components: PySpark
Environment: OS: SUSE 11 SP3
JDK: 1.8.0_40
Python: 2.6.8
Hadoop: 2.7.0
Spark: master branch
Reporter: Weizhong
Priority: Minor
I run test for Spark, and failed on PySpark, details are:
File "/xxx/Spark/python/pyspark/sql/dataframe.py", line 837, in
pyspark.sql.dataframe.DataFrame.cube
Failed example:
df.cube('name', df.age).count().show()
Exception raised:
Traceback (most recent call last):
File "/usr/lib64/python2.6/doctest.py", line 1253, in __run
compileflags, 1) in test.globs
File "<doctest pyspark.sql.dataframe.DataFrame.cube[0]>", line 1, in
<module>
df.cube('name', df.age).count().show()
File "/xxx/Spark/python/pyspark/sql/dataframe.py", line 291, in show
print(self._jdf.showString(n))
File "/xxx/Spark/python/lib/py4j-0.8.2.1-src.zip/py4j/java_gateway.py",
line 538, in __call__
self.target_id, self.name)
File "/xxx/Spark/python/lib/py4j-0.8.2.1-src.zip/py4j/protocol.py", line
300, in get_return_value
format(target_id, '.', name), value)
Py4JJavaError: An error occurred while calling o212.showString.
: java.lang.AssertionError: assertion failed: No plan for Cube
[name#1,age#0], [name#1,age#0,COUNT(1) AS count#27L], grouping__id#28
LogicalRDD [age#0,name#1], MapPartitionsRDD[7] at applySchemaToPythonRDD
at NativeMethodAccessorImpl.java:-2
at scala.Predef$.assert(Predef.scala:179)
at
org.apache.spark.sql.catalyst.planning.QueryPlanner.plan(QueryPlanner.scala:59)
at
org.apache.spark.sql.catalyst.planning.QueryPlanner.planLater(QueryPlanner.scala:54)
at
org.apache.spark.sql.execution.SparkStrategies$BasicOperators$.apply(SparkStrategies.scala:312)
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.SQLContext$QueryExecution.sparkPlan$lzycompute(SQLContext.scala:913)
at
org.apache.spark.sql.SQLContext$QueryExecution.sparkPlan(SQLContext.scala:911)
at
org.apache.spark.sql.SQLContext$QueryExecution.executedPlan$lzycompute(SQLContext.scala:917)
at
org.apache.spark.sql.SQLContext$QueryExecution.executedPlan(SQLContext.scala:917)
at org.apache.spark.sql.DataFrame.collect(DataFrame.scala:1255)
at org.apache.spark.sql.DataFrame.head(DataFrame.scala:1189)
at org.apache.spark.sql.DataFrame.take(DataFrame.scala:1248)
at org.apache.spark.sql.DataFrame.showString(DataFrame.scala:176)
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 py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:231)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:379)
at py4j.Gateway.invoke(Gateway.java:259)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:133)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:207)
at java.lang.Thread.run(Thread.java:745)
**********************************************************************
File "/xxx/Spark/python/pyspark/sql/dataframe.py", line 816, in
pyspark.sql.dataframe.DataFrame.rollup
Failed example:
df.rollup('name', df.age).count().show()
Exception raised:
Traceback (most recent call last):
File "/usr/lib64/python2.6/doctest.py", line 1253, in __run
compileflags, 1) in test.globs
File "<doctest pyspark.sql.dataframe.DataFrame.rollup[0]>", line 1,SLF4J:
Failed to load class "org.slf4j.impl.StaticLoggerBinder".
SLF4J: Defaulting to no-operation (NOP) logger implementation
SLF4J: See http://www.slf4j.org/codes.html#StaticLoggerBinder for further
details.
in <module>
df.rollup('name', df.age).count().show()
File "/xxx/Spark/python/pyspark/sql/dataframe.py", line 291, in show
print(self._jdf.showString(n))
File "/xxx/Spark/python/lib/py4j-0.8.2.1-src.zip/py4j/java_gateway.py",
line 538, in __call__
self.target_id, self.name)
File "/xxx/Spark/python/lib/py4j-0.8.2.1-src.zip/py4j/protocol.py", line
300, in get_return_value
format(target_id, '.', name), value)
Py4JJavaError: An error occurred while calling o486.showString.
: java.lang.AssertionError: assertion failed: No plan for Rollup
[name#1,age#0], [name#1,age#0,COUNT(1) AS count#168L], grouping__id#169
LogicalRDD [age#0,name#1], MapPartitionsRDD[7] at applySchemaToPythonRDD
at NativeMethodAccessorImpl.java:-2
at scala.Predef$.assert(Predef.scala:179)
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:312)
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$13.hasNext(Iterator.scala:371)
at
org.apache.spark.sql.catalyst.planning.QueryPlanner.plan(QueryPlanner.scala:59)
at
org.apache.spark.sql.SQLContext$QueryExecution.sparkPlan$lzycompute(SQLContext.scala:913)
at
org.apache.spark.sql.SQLContext$QueryExecution.sparkPlan(SQLContext.scala:911)
at
org.apache.spark.sql.SQLContext$QueryExecution.executedPlan$lzycompute(SQLContext.scala:917)
at
org.apache.spark.sql.SQLContext$QueryExecution.executedPlan(SQLContext.scala:917)
at org.apache.spark.sql.DataFrame.collect(DataFrame.scala:1255)
at org.apache.spark.sql.DataFrame.head(DataFrame.scala:1189)
at org.apache.spark.sql.DataFrame.take(DataFrame.scala:1248)
at org.apache.spark.sql.DataFrame.showString(DataFrame.scala:176)
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 py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:231)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:379)
at py4j.Gateway.invoke(Gateway.java:259)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:133)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:207)
at java.lang.Thread.run(Thread.java:745)
**********************************************************************
1 of 1 in pyspark.sql.dataframe.DataFrame.cube
1 of 1 in pyspark.sql.dataframe.DataFrame.rollup
***Test Failed*** 2 failures.
This problem
"http://stackoverflow.com/questions/29565923/cache-methods-not-working-in-spark-1-3-0";
is similar.
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