Daniel Thomas created SPARK-12180:
-------------------------------------

             Summary: DataFrame.join() in PySpark gives misleading exception 
when column name exists on both side
                 Key: SPARK-12180
                 URL: https://issues.apache.org/jira/browse/SPARK-12180
             Project: Spark
          Issue Type: Bug
          Components: PySpark
    Affects Versions: 1.5.2
            Reporter: Daniel Thomas


When joining two DataFrames on a column 'session_uuid' I got the following 
exception, because both DataFrames hat a column called 'at'. The exception is 
misleading in the cause and in the column causing the problem. Renaming the 
column fixed the exception.

---------------------------------------------------------------------------
Py4JJavaError                             Traceback (most recent call last)
/Applications/spark-1.5.2-bin-hadoop2.4/python/pyspark/sql/utils.py in deco(*a, 
**kw)
     35         try:
---> 36             return f(*a, **kw)
     37         except py4j.protocol.Py4JJavaError as e:

/Applications/spark-1.5.2-bin-hadoop2.4/python/lib/py4j-0.8.2.1-src.zip/py4j/protocol.py
 in get_return_value(answer, gateway_client, target_id, name)
    299                     'An error occurred while calling {0}{1}{2}.\n'.
--> 300                     format(target_id, '.', name), value)
    301             else:

Py4JJavaError: An error occurred while calling o484.join.
: org.apache.spark.sql.AnalysisException: resolved attribute(s) 
session_uuid#3278 missing from 
uuid_x#9078,total_session_sec#9115L,at#3248,session_uuid#9114,uuid#9117,at#9084 
in operator !Join Inner, Some((uuid_x#9078 = session_uuid#3278));
        at 
org.apache.spark.sql.catalyst.analysis.CheckAnalysis$class.failAnalysis(CheckAnalysis.scala:37)
        at 
org.apache.spark.sql.catalyst.analysis.Analyzer.failAnalysis(Analyzer.scala:44)
        at 
org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1.apply(CheckAnalysis.scala:154)
        at 
org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1.apply(CheckAnalysis.scala:49)
        at 
org.apache.spark.sql.catalyst.trees.TreeNode.foreachUp(TreeNode.scala:103)
        at 
org.apache.spark.sql.catalyst.analysis.CheckAnalysis$class.checkAnalysis(CheckAnalysis.scala:49)
        at 
org.apache.spark.sql.catalyst.analysis.Analyzer.checkAnalysis(Analyzer.scala:44)
        at 
org.apache.spark.sql.SQLContext$QueryExecution.assertAnalyzed(SQLContext.scala:914)
        at org.apache.spark.sql.DataFrame.<init>(DataFrame.scala:132)
        at 
org.apache.spark.sql.DataFrame.org$apache$spark$sql$DataFrame$$logicalPlanToDataFrame(DataFrame.scala:154)
        at org.apache.spark.sql.DataFrame.join(DataFrame.scala:553)
        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 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)


During handling of the above exception, another exception occurred:

AnalysisException                         Traceback (most recent call last)
<ipython-input-49-8fc6876649b7> in <module>()
      1 sel_starts = starts.select('uuid', 'at').withColumnRenamed('uuid', 
'uuid_x')#.withColumnRenamed('at', 'at_x')
      2 sel_closes = closes.select('uuid', 'at', 'session_uuid', 
'total_session_sec')
----> 3 start_close = sel_starts.join(sel_closes, sel_starts['uuid_x'] == 
sel_closes['session_uuid'])
      4 start_close.cache()
      5 start_close.take(1)

/Applications/spark-1.5.2-bin-hadoop2.4/python/pyspark/sql/dataframe.py in 
join(self, other, on, how)
    579                 on = on[0]
    580             if how is None:
--> 581                 jdf = self._jdf.join(other._jdf, on._jc, "inner")
    582             else:
    583                 assert isinstance(how, basestring), "how should be 
basestring"

/Applications/spark-1.5.2-bin-hadoop2.4/python/lib/py4j-0.8.2.1-src.zip/py4j/java_gateway.py
 in __call__(self, *args)
    536         answer = self.gateway_client.send_command(command)
    537         return_value = get_return_value(answer, self.gateway_client,
--> 538                 self.target_id, self.name)
    539 
    540         for temp_arg in temp_args:

/Applications/spark-1.5.2-bin-hadoop2.4/python/pyspark/sql/utils.py in deco(*a, 
**kw)
     38             s = e.java_exception.toString()
     39             if s.startswith('org.apache.spark.sql.AnalysisException: '):
---> 40                 raise AnalysisException(s.split(': ', 1)[1])
     41             if s.startswith('java.lang.IllegalArgumentException: '):
     42                 raise IllegalArgumentException(s.split(': ', 1)[1])

AnalysisException: resolved attribute(s) session_uuid#3278 missing from 
uuid_x#9078,total_session_sec#9115L,at#3248,session_uuid#9114,uuid#9117,at#9084 
in operator !Join Inner, Some((uuid_x#9078 = session_uuid#3278));



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