[jira] [Commented] (BEAM-8384) Spark runner is not respecting spark.default.parallelism user defined configuration
[ https://issues.apache.org/jira/browse/BEAM-8384?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17548207#comment-17548207 ] Danny McCormick commented on BEAM-8384: --- This issue has been migrated to https://github.com/apache/beam/issues/19854 > Spark runner is not respecting spark.default.parallelism user defined > configuration > --- > > Key: BEAM-8384 > URL: https://issues.apache.org/jira/browse/BEAM-8384 > Project: Beam > Issue Type: Bug > Components: runner-spark >Affects Versions: 2.16.0 >Reporter: Ismaël Mejía >Priority: P3 > > It was reported in [the mailing > list|https://lists.apache.org/thread.html/792fb7fc2a5113837fbcdafce6a5d9100309881b366c1a7163d2c898@%3Cdev.beam.apache.org%3E] > that the Spark runner is not respecting the user defined Spark default > parallelism configuration. We should investigate and if it is the case ensure > that a user defined configuration is always respected. Runner optimizations > should apply only for default (unconfigured) values otherwise we will confuse > users and limit them from parametrizing Spark for their best convenience. -- This message was sent by Atlassian Jira (v8.20.7#820007)
[jira] [Commented] (BEAM-8384) Spark runner is not respecting spark.default.parallelism user defined configuration
[ https://issues.apache.org/jira/browse/BEAM-8384?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17137107#comment-17137107 ] Beam JIRA Bot commented on BEAM-8384: - This issue was marked "stale-P2" and has not received a public comment in 14 days. It is now automatically moved to P3. If you are still affected by it, you can comment and move it back to P2. > Spark runner is not respecting spark.default.parallelism user defined > configuration > --- > > Key: BEAM-8384 > URL: https://issues.apache.org/jira/browse/BEAM-8384 > Project: Beam > Issue Type: Bug > Components: runner-spark >Affects Versions: 2.16.0 >Reporter: Ismaël Mejía >Priority: P3 > > It was reported in [the mailing > list|https://lists.apache.org/thread.html/792fb7fc2a5113837fbcdafce6a5d9100309881b366c1a7163d2c898@%3Cdev.beam.apache.org%3E] > that the Spark runner is not respecting the user defined Spark default > parallelism configuration. We should investigate and if it is the case ensure > that a user defined configuration is always respected. Runner optimizations > should apply only for default (unconfigured) values otherwise we will confuse > users and limit them from parametrizing Spark for their best convenience. -- This message was sent by Atlassian Jira (v8.3.4#803005)
[jira] [Commented] (BEAM-8384) Spark runner is not respecting spark.default.parallelism user defined configuration
[ https://issues.apache.org/jira/browse/BEAM-8384?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17122626#comment-17122626 ] Beam JIRA Bot commented on BEAM-8384: - This issue is P2 but has been unassigned without any comment for 60 days so it has been labeled "stale-P2". If this issue is still affecting you, we care! Please comment and remove the label. Otherwise, in 14 days the issue will be moved to P3. Please see https://beam.apache.org/contribute/jira-priorities/ for a detailed explanation of what these priorities mean. > Spark runner is not respecting spark.default.parallelism user defined > configuration > --- > > Key: BEAM-8384 > URL: https://issues.apache.org/jira/browse/BEAM-8384 > Project: Beam > Issue Type: Bug > Components: runner-spark >Affects Versions: 2.16.0 >Reporter: Ismaël Mejía >Priority: P2 > Labels: stale-P2 > > It was reported in [the mailing > list|https://lists.apache.org/thread.html/792fb7fc2a5113837fbcdafce6a5d9100309881b366c1a7163d2c898@%3Cdev.beam.apache.org%3E] > that the Spark runner is not respecting the user defined Spark default > parallelism configuration. We should investigate and if it is the case ensure > that a user defined configuration is always respected. Runner optimizations > should apply only for default (unconfigured) values otherwise we will confuse > users and limit them from parametrizing Spark for their best convenience. -- This message was sent by Atlassian Jira (v8.3.4#803005)
[jira] [Commented] (BEAM-8384) Spark runner is not respecting spark.default.parallelism user defined configuration
[ https://issues.apache.org/jira/browse/BEAM-8384?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16978142#comment-16978142 ] Ismaël Mejía commented on BEAM-8384: I have forgotten about this one. Looks like a regression but not convinced it is a blocker. I will move the Fix version tag to unblock the release and eventually send a cherry pick if still in time. > Spark runner is not respecting spark.default.parallelism user defined > configuration > --- > > Key: BEAM-8384 > URL: https://issues.apache.org/jira/browse/BEAM-8384 > Project: Beam > Issue Type: Bug > Components: runner-spark >Affects Versions: 2.16.0 >Reporter: Ismaël Mejía >Assignee: Ismaël Mejía >Priority: Major > > It was reported in [the mailing > list|https://lists.apache.org/thread.html/792fb7fc2a5113837fbcdafce6a5d9100309881b366c1a7163d2c898@%3Cdev.beam.apache.org%3E] > that the Spark runner is not respecting the user defined Spark default > parallelism configuration. We should investigate and if it is the case ensure > that a user defined configuration is always respected. Runner optimizations > should apply only for default (unconfigured) values otherwise we will confuse > users and limit them from parametrizing Spark for their best convenience. -- This message was sent by Atlassian Jira (v8.3.4#803005)
[jira] [Commented] (BEAM-8384) Spark runner is not respecting spark.default.parallelism user defined configuration
[ https://issues.apache.org/jira/browse/BEAM-8384?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16978068#comment-16978068 ] Kenneth Knowles commented on BEAM-8384: --- [~iemejia] is this in progress? Is there a chance for it to be done for 2.17.0? Is it a regression? > Spark runner is not respecting spark.default.parallelism user defined > configuration > --- > > Key: BEAM-8384 > URL: https://issues.apache.org/jira/browse/BEAM-8384 > Project: Beam > Issue Type: Bug > Components: runner-spark >Affects Versions: 2.16.0 >Reporter: Ismaël Mejía >Assignee: Ismaël Mejía >Priority: Major > Fix For: 2.17.0 > > > It was reported in [the mailing > list|https://lists.apache.org/thread.html/792fb7fc2a5113837fbcdafce6a5d9100309881b366c1a7163d2c898@%3Cdev.beam.apache.org%3E] > that the Spark runner is not respecting the user defined Spark default > parallelism configuration. We should investigate and if it is the case ensure > that a user defined configuration is always respected. Runner optimizations > should apply only for default (unconfigured) values otherwise we will confuse > users and limit them from parametrizing Spark for their best convenience. -- This message was sent by Atlassian Jira (v8.3.4#803005)
[jira] [Commented] (BEAM-8384) Spark runner is not respecting spark.default.parallelism user defined configuration
[ https://issues.apache.org/jira/browse/BEAM-8384?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16949333#comment-16949333 ] Ryan Skraba commented on BEAM-8384: --- Related to BEAM-8191 (exploding number of partitions during flatten). There could definitely be some cleanup around [getPartitioner|https://github.com/apache/beam/blob/a5e7e671d4571d86991151e79586c98fd107a2b1/runners/spark/src/main/java/org/apache/beam/runners/spark/translation/TransformTranslator.java#L571] and how bundleSize impacts the partitioner choice. > Spark runner is not respecting spark.default.parallelism user defined > configuration > --- > > Key: BEAM-8384 > URL: https://issues.apache.org/jira/browse/BEAM-8384 > Project: Beam > Issue Type: Bug > Components: runner-spark >Affects Versions: 2.16.0 >Reporter: Ismaël Mejía >Assignee: Ismaël Mejía >Priority: Major > Fix For: 2.17.0 > > > It was reported in [the mailing > list|https://lists.apache.org/thread.html/792fb7fc2a5113837fbcdafce6a5d9100309881b366c1a7163d2c898@%3Cdev.beam.apache.org%3E] > that the Spark runner is not respecting the user defined Spark default > parallelism configuration. We should investigate and if it is the case ensure > that a user defined configuration is always respected. Runner optimizations > should apply only for default (unconfigured) values otherwise we will confuse > users and limit them from parametrizing Spark for their best convenience. -- This message was sent by Atlassian Jira (v8.3.4#803005)
