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From "Bago Amirbekian (JIRA)" <j...@apache.org>
Subject [jira] [Created] (SPARK-22232) Row objects in pyspark using the `Row(**kwars)` syntax do not get serialized/deserialized properly
Date Tue, 10 Oct 2017 02:51:00 GMT
Bago Amirbekian created SPARK-22232:
---------------------------------------

             Summary: Row objects in pyspark using the `Row(**kwars)` syntax do not get serialized/deserialized
properly
                 Key: SPARK-22232
                 URL: https://issues.apache.org/jira/browse/SPARK-22232
             Project: Spark
          Issue Type: Bug
          Components: PySpark
    Affects Versions: 2.2.0
            Reporter: Bago Amirbekian


The fields in a Row object created from a dict (ie `Row(**kwargs)`) should be accessed by
field name, not by position because `Row.__new__` sorts the fields alphabetically by name.
It seems like this promise is not being honored when these Row objects are shuffled. I've
included an example to help reproduce the issue.


```
from pyspark.sql.types import *
from pyspark.sql import *

def toRow(i):
  return Row(a="a", c=3.0, b=2)

schema = StructType([
  StructField("a", StringType(),  False),
  StructField("c", FloatType(), False),
  StructField("b", IntegerType(), False),
])

rdd = sc.parallelize(range(10)).repartition(2).map(lambda i: toRow(i))

# As long as we don't shuffle things work fine.
print rdd.toDF(schema).take(2)

# If we introduce a shuffle we have issues
print rdd.repartition(3).toDF(schema).take(2)
```



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