Shixiong Zhu created SPARK-13691: ------------------------------------ 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. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org