[ https://issues.apache.org/jira/browse/SPARK-21096?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon resolved SPARK-21096. ---------------------------------- Resolution: Not A Problem That's not an issue in Spark but maybe cloudpickle or Python. I wonder how we could avoid this though {code} >>> class A(): ... def __init__(self): ... self.a = "a" ... self.b = "b" ... >>> obj = A() >>> def test(): obj.b ... >>> b = "a" >>> def test1(): b ... >>> import dis >>> dis.dis(test) 1 0 LOAD_GLOBAL 0 (obj) 3 LOAD_ATTR 1 (b) 6 POP_TOP 7 LOAD_CONST 0 (None) 10 RETURN_VALUE >>> dis.dis(test1) 1 0 LOAD_GLOBAL 0 (b) 3 POP_TOP 4 LOAD_CONST 0 (None) 7 RETURN_VALUE {code} > Pickle error when passing a member variable to Spark executors > -------------------------------------------------------------- > > Key: SPARK-21096 > URL: https://issues.apache.org/jira/browse/SPARK-21096 > Project: Spark > Issue Type: Bug > Components: Spark Core > Affects Versions: 2.1.1 > Reporter: Irina Truong > > There is a pickle error when submitting a spark job that references a member > variable in a lambda, even when the member variable is a simple type that > should be serializable. > Here is a minimal example: > https://gist.github.com/j-bennet/8390c6d9a81854696f1a9b42a4ea8278 > In the gist above, this method will throw an exception: > {quote} > def build_fail(self): > processed = self.rdd.map(lambda row: process_row(row, self.multiplier)) > return processed.collect() > {quote} > While this method will run just fine: > {quote} > def build_ok(self): > mult = self.multiplier > processed = self.rdd.map(lambda row: process_row(row, mult)) > return processed.collect() > {quote} > In this example, {{self.multiplier}} is just an int. However, passing it into > a lambda throws a pickle error, because it is trying to pickle the whole > {{self}}, and that contains {{sc}}. > If this is the expected behavior, then why should re-assigning > {{self.multiplier}} to a variable make a difference? -- This message was sent by Atlassian JIRA (v6.4.14#64029) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org