[jira] [Commented] (SPARK-8071) Run PySpark dataframe.rollup/cube test failed
[
https://issues.apache.org/jira/browse/SPARK-8071?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14578825#comment-14578825
]
Weizhong commented on SPARK-8071:
-
Hello [~chenghao], it *only failed on the doctest*, the function is ok.
I run with command
{code}
bin/pyspark python/pyspark/sql/dataframe.py
{code}
I found this is because our jenkins failed on *Running PySpark tests*.
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:
{code}
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)
**
1 of 1 in pyspark.sql.dataframe.DataFrame.cube
1 of 1 in pyspark.sql.dataframe.DataFrame.rollup
***Test Failed*** 2 failures.
{code}
cc [~davies]
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[jira] [Commented] (SPARK-8071) Run PySpark dataframe.rollup/cube test failed
[
https://issues.apache.org/jira/browse/SPARK-8071?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14575619#comment-14575619
]
Weizhong commented on SPARK-8071:
-
Hello [~chenghao], it failed on the PySpark unit test(for rollup and cube).
Run *./bin/pyspark python/pyspark/sql/dataframe.py* can reproduce again.
JDK:1.8.0_40
Python:2.6.8
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:
{code}
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)
**
1 of 1 in pyspark.sql.dataframe.DataFrame.cube
1 of 1 in pyspark.sql.dataframe.DataFrame.rollup
***Test Failed*** 2 failures.
{code}
cc [~davies]
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[jira] [Commented] (SPARK-8071) Run PySpark dataframe.rollup/cube test failed
[
https://issues.apache.org/jira/browse/SPARK-8071?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14575877#comment-14575877
]
Davies Liu commented on SPARK-8071:
---
I think It may be related to JDK 8 (we didn't test it much)
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:
{code}
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)
**
1 of 1 in pyspark.sql.dataframe.DataFrame.cube
1 of 1 in pyspark.sql.dataframe.DataFrame.rollup
***Test Failed*** 2 failures.
{code}
cc [~davies]
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[jira] [Commented] (SPARK-8071) Run PySpark dataframe.rollup/cube test failed
[
https://issues.apache.org/jira/browse/SPARK-8071?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14573828#comment-14573828
]
Reynold Xin commented on SPARK-8071:
[~chenghao] can you take a look at this? Cube is not supposed to appear in the
physical planner.
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:
{code}
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)
**
1 of 1 in pyspark.sql.dataframe.DataFrame.cube
1 of 1 in pyspark.sql.dataframe.DataFrame.rollup
***Test Failed*** 2 failures.
{code}
cc [~davies]
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[jira] [Commented] (SPARK-8071) Run PySpark dataframe.rollup/cube test failed
[
https://issues.apache.org/jira/browse/SPARK-8071?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14573952#comment-14573952
]
Cheng Hao commented on SPARK-8071:
--
I couldn't reproduce that with scala API, and also it seems the failure code is
from the PySpark unit test (for cube), [~davies] can you reproduce that
exception?
JDK / Python version issues?
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:
{code}
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)
**
1 of 1 in pyspark.sql.dataframe.DataFrame.cube
1 of 1 in pyspark.sql.dataframe.DataFrame.rollup
***Test Failed*** 2 failures.
{code}
cc [~davies]
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[jira] [Commented] (SPARK-8071) Run PySpark dataframe.rollup/cube test failed
[
https://issues.apache.org/jira/browse/SPARK-8071?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14573935#comment-14573935
]
Cheng Hao commented on SPARK-8071:
--
Can you try `df.cube('name', 'age').count().show()`?
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:
{code}
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)
**
1 of 1 in pyspark.sql.dataframe.DataFrame.cube
1 of 1 in pyspark.sql.dataframe.DataFrame.rollup
***Test Failed*** 2 failures.
{code}
cc [~davies]
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[jira] [Commented] (SPARK-8071) Run PySpark dataframe.rollup/cube test failed
[
https://issues.apache.org/jira/browse/SPARK-8071?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14573771#comment-14573771
]
Davies Liu commented on SPARK-8071:
---
It failed in Scala side, cc [~rxin]
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)
**
1 of 1 in pyspark.sql.dataframe.DataFrame.cube
1 of 1 in pyspark.sql.dataframe.DataFrame.rollup
***Test Failed*** 2 failures.
cc [~davies]
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