[jira] [Commented] (SPARK-15611) Got the same sequence random number in every forked worker.

[ https://issues.apache.org/jira/browse/SPARK-15611?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15306204#comment-15306204 ] Thomas Lau commented on SPARK-15611: hi, can anyone review this fix? > Got the same

[jira] [Resolved] (SPARK-15611) Got the same sequence random number in every forked worker.

[ https://issues.apache.org/jira/browse/SPARK-15611?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Thomas Lau resolved SPARK-15611. Resolution: Fixed Target Version/s: 1.6.1 > Got the same sequence random number in every

[jira] [Updated] (SPARK-15611) Got the same sequence random number in every forked worker.

[ https://issues.apache.org/jira/browse/SPARK-15611?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Thomas Lau updated SPARK-15611: --- Summary: Got the same sequence random number in every forked worker. (was: Each forked worker in da

[jira] [Updated] (SPARK-15611) Each forked worker in daemon.py keep the parent's random state

[ https://issues.apache.org/jira/browse/SPARK-15611?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Thomas Lau updated SPARK-15611: --- Description: hi, i'm writing some code as below: {code:java|title=marlkov.py|borderStyle=dashed|bord

[jira] [Updated] (SPARK-15611) Each forked worker in daemon.py keep the parent's random state

[ https://issues.apache.org/jira/browse/SPARK-15611?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Thomas Lau updated SPARK-15611: --- Description: hi, i'm writing some code as below: {code:java|title=marlkov.py|borderStyle=dashed|bord

[jira] [Updated] (SPARK-15611) Each forked worker in daemon.py keep the parent's random state

[ https://issues.apache.org/jira/browse/SPARK-15611?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Thomas Lau updated SPARK-15611: --- Description: hi, i'm writing some code as below: {code:python} from random import random from operat

[jira] [Updated] (SPARK-15611) Each forked worker in daemon.py keep the parent's random state

[ https://issues.apache.org/jira/browse/SPARK-15611?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Thomas Lau updated SPARK-15611: --- Description: hi, i'm writing some code as below: {quote} from random import random from operator imp

[jira] [Updated] (SPARK-15611) Each forked worker in daemon.py keep the parent's random state

[ https://issues.apache.org/jira/browse/SPARK-15611?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Thomas Lau updated SPARK-15611: --- Summary: Each forked worker in daemon.py keep the parent's random state (was: each forked worker i

[jira] [Updated] (SPARK-15611) each forked worker in daemon.py keep the parent's random state

[ https://issues.apache.org/jira/browse/SPARK-15611?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Thomas Lau updated SPARK-15611: --- Description: hi, i'm writing some code as below: ```py from random import random from operator impor

[jira] [Updated] (SPARK-15611) each forked worker in daemon.py keep the parent's random state

[ https://issues.apache.org/jira/browse/SPARK-15611?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Thomas Lau updated SPARK-15611: --- Description: hi, i'm writing some code as below: ```py from random import random from operator impor

[jira] [Created] (SPARK-15611) each forked worker in daemon.py keep the parent's random state

Thomas Lau created SPARK-15611: -- Summary: each forked worker in daemon.py keep the parent's random state Key: SPARK-15611 URL: https://issues.apache.org/jira/browse/SPARK-15611 Project: Spark