You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Ben McCann (JIRA)" <ji...@apache.org> on 2016/07/22 21:55:20 UTC

[jira] [Created] (SPARK-16688) OpenHashSet.MAX_CAPACITY is always based on Int even when using Long

Ben McCann created SPARK-16688:
----------------------------------

             Summary: OpenHashSet.MAX_CAPACITY is always based on Int even when using Long
                 Key: SPARK-16688
                 URL: https://issues.apache.org/jira/browse/SPARK-16688
             Project: Spark
          Issue Type: Bug
          Components: Spark Core
    Affects Versions: 1.6.2, 2.0.0
            Reporter: Ben McCann


MAX_CAPACITY is hardcoded to a value of 1073741824:

{code}val MAX_CAPACITY = 1 << 30

  class LongHasher extends Hasher[Long] {
    override def hash(o: Long): Int = (o ^ (o >>> 32)).toInt
  }{code}

I'd like to stick more than 1B items in my hashmap. Spark's all about big data, right?



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org