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does the branch can be published with spark 1.2.0 version @mengxr
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How about now?
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Thanks, merged this in.
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I see the big Decimal patch is in...merging now.
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+/*
+ * Licensed
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Github user srowen commented on the pull request:
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I think we will ultimately have to turn this on, since javadoc 8 generates
so much noise, but:
- Are there javadoc errors that are fixable? I have tried to clean
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retest this please
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[SQL] Fixes race condition in CliSuite
`CliSuite` has been flaky for a while, this PR tries to improve this
situation by fixing a race condition in `CliSuite`. The `captureOutput`
function is
Github user liancheng commented on the pull request:
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The previous test failure are caused by the flaky `CliSuite`. A fix has
been proposed in #3036.
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@marmbrus This should be ready to go since #2983 has been merged.
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GitHub user lianhuiwang opened a pull request:
https://github.com/apache/spark/pull/3061
[SPARK-4195][Core]retry to fetch blocks's result when fetchfailed's reason
is connection timeout
when there are many executors in a application(example:1000),Connection
timeout often occure.
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[SPARK-1406] Mllib pmml model export
See PDF attached to the JIRA issue 1406.
The contribution is my original work and I license the work to the project
under the project's open
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Can one of the admins verify this patch?
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https://issues.apache.org/jira/browse/SPARK-1406
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retest this please
(The fixed issue is a race condition, would like to run multiple Jenkins
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Github user chenghao-intel commented on a diff in the pull request:
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--- Diff:
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@@ -69,4 +69,10 @@ class HiveTableScanSuite
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@@ -175,6 +175,8 @@ abstract class
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@@ -320,8 +326,9 @@ object HiveMetastoreTypes extends
Github user chenghao-intel commented on the pull request:
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Thank you @scwf @marmbrus for reviewing the code. Actually I am a little
confused with the hive versions in Spark SQL. Seems the golden files are based
on Hive
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Really not an SBT expert here, but this generally LGTM, thanks!
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aha, it explains the timeout issue. is there the same problem in
```HiveThriftServer2Suite```?
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retest this please.
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test this please
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ok to test
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@srowen Could you help review this? Thanks!
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Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/3062#issuecomment-61416984
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