Maciej Szymkiewicz created SPARK-16589:
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Summary: Chained cartesian produces incorrect number of records
Key: SPARK-16589
URL: https://issues.apache.org/jira/browse/SPARK-16589
Project: Spark
Issue Type: Bug
Components: PySpark
Affects Versions: 1.6.0, 2.0.0
Reporter: Maciej Szymkiewicz
Chaining cartesian calls in PySpark results in the number of records lower than
expected. It can be reproduced as follows:
{code}
rdd = sc.parallelize(range(10), 1)
rdd.cartesian(rdd).cartesian(rdd).count()
## 355
{code}
It looks like it is related to serialization. If we reserialize after initial
cartesian:
{code}
rdd.cartesian(rdd)._reserialize(BatchedSerializer(PickleSerializer(),
1)).cartesian(rdd).count()
{code}
or insert identity map:
{code}
rdd.cartesian(rdd).map(lambda x: x).cartesian(rdd).count()
{code}
it yields correct results.
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