[GitHub] spark issue #22429: [SPARK-25440][SQL] Dumping query execution info to a fil...

2018-11-12 Thread boy-uber
Github user boy-uber commented on the issue: https://github.com/apache/spark/pull/22429 > @boy-uber, for structured streaming, let's do it out of this PR. I think the actual change of this PR can be small (1.). We can change this API for structured streaming later if needed si

[GitHub] spark issue #22429: [SPARK-25440][SQL] Dumping query execution info to a fil...

2018-11-02 Thread boy-uber
Github user boy-uber commented on the issue: https://github.com/apache/spark/pull/22429 > > @MaxGekk I sent email to spark dev list about structured plan logging, but did not get any response. > > @boy-uber I guess It is better to speak about the feature t

[GitHub] spark issue #22429: [SPARK-25440][SQL] Dumping query execution info to a fil...

2018-10-30 Thread boy-uber
Github user boy-uber commented on the issue: https://github.com/apache/spark/pull/22429 > > @boy-uber the thing you are suggesting is a pretty big undertaking and beyond the scope of this PR. > > If you are going to add structured plans to the explain output, you p

[GitHub] spark issue #22429: [SPARK-25440][SQL] Dumping query execution info to a fil...

2018-10-11 Thread boy-uber
Github user boy-uber commented on the issue: https://github.com/apache/spark/pull/22429 > @boy-uber the thing you are suggesting is a pretty big undertaking and beyond the scope of this PR. > > If you are going to add structured plans to the explain output, you prob

[GitHub] spark issue #22429: [SPARK-25440][SQL] Dumping query execution info to a fil...

2018-10-09 Thread boy-uber
Github user boy-uber commented on the issue: https://github.com/apache/spark/pull/22429 Great to see the code here to capture more information from the plan and save to file. We have similar needs with our Spark applications as well. Adding my two cents: 1. Anyone

[GitHub] spark pull request: [https://issues.apache.org/jira/browse/SPARK-4...

2016-04-25 Thread boy-uber
Github user boy-uber commented on the pull request: https://github.com/apache/spark/pull/2633#issuecomment-214151289 Now Spark has improved a lot in fault-tolerance, robustness, and stability. Could we revisit this PR? There is a lot of value supporting event timestamp, since