GitHub user uncleGen opened a pull request:

    https://github.com/apache/spark/pull/17267

    [SPARK-19926][PYSPARK] Make pyspark exception more readable

    ## What changes were proposed in this pull request?
    
    Exception in pyspark is a little difficult to read.
    
    before pr, like:
    
    ```
    Traceback (most recent call last):
      File "<stdin>", line 5, in <module>
      File "/root/dev/spark/dist/python/pyspark/sql/streaming.py", line 853, in 
start
        return self._sq(self._jwrite.start())
      File 
"/root/dev/spark/dist/python/lib/py4j-0.10.4-src.zip/py4j/java_gateway.py", 
line 1133, in __call__
      File "/root/dev/spark/dist/python/pyspark/sql/utils.py", line 69, in deco
        raise AnalysisException(s.split(': ', 1)[1], stackTrace)
    pyspark.sql.utils.AnalysisException: u'Append output mode not supported 
when there are streaming aggregations on streaming DataFrames/DataSets without 
watermark;;\nAggregate [window#17, word#5], [window#17 AS window#11, word#5, 
count(1) AS count#16L]\n+- Filter ((t#6 >= window#17.start) && (t#6 < 
window#17.end))\n   +- Expand [ArrayBuffer(named_struct(start, 
((((CEIL((cast((precisetimestamp(t#6) - 0) as double) / cast(30000000 as 
double))) + cast(0 as bigint)) - cast(1 as bigint)) * 30000000) + 0), end, 
(((((CEIL((cast((precisetimestamp(t#6) - 0) as double) / cast(30000000 as 
double))) + cast(0 as bigint)) - cast(1 as bigint)) * 30000000) + 0) + 
30000000)), word#5, t#6-T30000ms), ArrayBuffer(named_struct(start, 
((((CEIL((cast((precisetimestamp(t#6) - 0) as double) / cast(30000000 as 
double))) + cast(1 as bigint)) - cast(1 as bigint)) * 30000000) + 0), end, 
(((((CEIL((cast((precisetimestamp(t#6) - 0) as double) / cast(30000000 as 
double))) + cast(1 as bigint)) - cast(1 as bigint))
  * 30000000) + 0) + 30000000)), word#5, t#6-T30000ms)], [window#17, word#5, 
t#6-T30000ms]\n      +- EventTimeWatermark t#6: timestamp, interval 30 
seconds\n         +- Project [cast(word#0 as string) AS word#5, cast(t#1 as 
timestamp) AS t#6]\n            +- StreamingRelation 
DataSource(org.apache.spark.sql.SparkSession@c4079ca,csv,List(),Some(StructType(StructField(word,StringType,true),
 StructField(t,IntegerType,true))),List(),None,Map(sep -> ;, path -> 
/tmp/data),None), FileSource[/tmp/data], [word#0, t#1]\n'
    ```
    
    after pr:
    
    ```
    Traceback (most recent call last):
      File "<stdin>", line 5, in <module>
      File "/root/dev/spark/dist/python/pyspark/sql/streaming.py", line 853, in 
start
        return self._sq(self._jwrite.start())
      File 
"/root/dev/spark/dist/python/lib/py4j-0.10.4-src.zip/py4j/java_gateway.py", 
line 1133, in __call__
      File "/root/dev/spark/dist/python/pyspark/sql/utils.py", line 69, in deco
        raise AnalysisException(s.split(': ', 1)[1], stackTrace)
    pyspark.sql.utils.AnalysisException: Append output mode not supported when 
there are streaming aggregations on streaming DataFrames/DataSets without 
watermark;;
    Aggregate [window#17, word#5], [window#17 AS window#11, word#5, count(1) AS 
count#16L]
    +- Filter ((t#6 >= window#17.start) && (t#6 < window#17.end))
       +- Expand [ArrayBuffer(named_struct(start, 
((((CEIL((cast((precisetimestamp(t#6) - 0) as double) / cast(30000000 as 
double))) + cast(0 as bigint)) - cast(1 as bigint)) * 30000000) + 0), end, 
(((((CEIL((cast((precisetimestamp(t#6) - 0) as double) / cast(30000000 as 
double))) + cast(0 as bigint)) - cast(1 as bigint)) * 30000000) + 0) + 
30000000)), word#5, t#6-T30000ms), ArrayBuffer(named_struct(start, 
((((CEIL((cast((precisetimestamp(t#6) - 0) as double) / cast(30000000 as 
double))) + cast(1 as bigint)) - cast(1 as bigint)) * 30000000) + 0), end, 
(((((CEIL((cast((precisetimestamp(t#6) - 0) as double) / cast(30000000 as 
double))) + cast(1 as bigint)) - cast(1 as bigint)) * 30000000) + 0) + 
30000000)), word#5, t#6-T30000ms)], [window#17, word#5, t#6-T30000ms]
          +- EventTimeWatermark t#6: timestamp, interval 30 seconds
             +- Project [cast(word#0 as string) AS word#5, cast(t#1 as 
timestamp) AS t#6]
                +- StreamingRelation 
DataSource(org.apache.spark.sql.SparkSession@5265083b,csv,List(),Some(StructType(StructField(word,StringType,true),
 StructField(t,IntegerType,true))),List(),None,Map(sep -> ;, path -> 
/tmp/data),None), FileSource[/tmp/data], [word#0, t#1]
    ```
    
    ## How was this patch tested?
    
    Jenkins


You can merge this pull request into a Git repository by running:

    $ git pull https://github.com/uncleGen/spark SPARK-19926

Alternatively you can review and apply these changes as the patch at:

    https://github.com/apache/spark/pull/17267.patch

To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:

    This closes #17267
    
----
commit 273c1bc8d719158dd074cb806d5db487b9709edb
Author: uncleGen <husty...@gmail.com>
Date:   2017-03-12T12:57:31Z

    Make pyspark exception more readable

----


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