[jira] [Created] (SPARK-13691) Scala and Python generate inconsistent results

["Shixiong Zhu (JIRA)" <ji...@apache.org>]

Shixiong Zhu created SPARK-13691:
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             Summary: Scala and Python generate inconsistent results
                 Key: SPARK-13691
                 URL: https://issues.apache.org/jira/browse/SPARK-13691
             Project: Spark
          Issue Type: Bug
          Components: PySpark
            Reporter: Shixiong Zhu


Here is an example that Scala and Python generate different results

{code}
Scala:
scala> var i = 0
i: Int = 0
scala> val rdd = sc.parallelize(1 to 10).map(_ + i)
scala> rdd.collect()
res0: Array[Int] = Array(1, 2, 3, 4, 5, 6, 7, 8, 9, 10)
scala> i += 1
scala> rdd.collect()
res2: Array[Int] = Array(2, 3, 4, 5, 6, 7, 8, 9, 10, 11)

Python:
>>> i = 0
>>> rdd = sc.parallelize(range(1, 10)).map(lambda x: x + i)
>>> rdd.collect()
[1, 2, 3, 4, 5, 6, 7, 8, 9]
>>> i += 1
>>> rdd.collect()
[1, 2, 3, 4, 5, 6, 7, 8, 9]
{code}

The difference is Scala will capture all variables' values when running a job every time, but Python just captures variables' values once and always uses them for all jobs.



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