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https://issues.apache.org/jira/browse/KYLIN-4967?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17318957#comment-17318957
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ASF GitHub Bot commented on KYLIN-4967:
---------------------------------------
codecov-io edited a comment on pull request #1627:
URL: https://github.com/apache/kylin/pull/1627#issuecomment-817317300
# [Codecov](https://codecov.io/gh/apache/kylin/pull/1627?src=pr&el=h1) Report
> :exclamation: No coverage uploaded for pull request base
(`kylin-on-parquet-v2@dfd012f`). [Click here to learn what that
means](https://docs.codecov.io/docs/error-reference#section-missing-base-commit).
> The diff coverage is `n/a`.
[](https://codecov.io/gh/apache/kylin/pull/1627?src=pr&el=tree)
```diff
@@ Coverage Diff @@
## kylin-on-parquet-v2 #1627 +/- ##
======================================================
Coverage ? 24.27%
Complexity ? 4649
======================================================
Files ? 1146
Lines ? 65591
Branches ? 9662
======================================================
Hits ? 15923
Misses ? 47989
Partials ? 1679
```
------
[Continue to review full report at
Codecov](https://codecov.io/gh/apache/kylin/pull/1627?src=pr&el=continue).
> **Legend** - [Click here to learn
more](https://docs.codecov.io/docs/codecov-delta)
> `Δ = absolute <relative> (impact)`, `ø = not affected`, `? = missing data`
> Powered by
[Codecov](https://codecov.io/gh/apache/kylin/pull/1627?src=pr&el=footer). Last
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[dfd012f...639d248](https://codecov.io/gh/apache/kylin/pull/1627?src=pr&el=lastupdated).
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> Forbid to set 'spark.sql.adaptive.enabled' to true when building cube with
> Spark 2.X
> ------------------------------------------------------------------------------------
>
> Key: KYLIN-4967
> URL: https://issues.apache.org/jira/browse/KYLIN-4967
> Project: Kylin
> Issue Type: Bug
> Reporter: Zhichao Zhang
> Assignee: Zhichao Zhang
> Priority: Minor
>
> With spark 2.X, when set 'spark.sql.adaptive.enabled' to true, it will impact
> the actually partition count when doing repartition with spark, which will
> lead to the wrong results for global dict and repartition by shardby column.
> For example, after writing a cuboid data, kylin will repartition the cuboid
> data with 3 partition if need, but if 'spark.sql.adaptive.enabled' is true,
> spark will optimize the partition num to 1, which leads to wrong.
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