Github user ueshin commented on the issue:
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Btw, I don't mean to block this pr but why does only `MapVector` have
`Nullable` version, just out of curiosity.
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--- Diff: python/run-tests-with-coverage ---
@@ -0,0 +1,69 @@
+#!/usr/bin/env bash
+
+#
+# Licensed to the Apache Software Foundation (ASF)
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retest this please
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This is the stack trace of the Exception.
```
java.lang.ClassCastException: org.apache.spark.rdd.CheckpointRDDPartition
cannot be cast to
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thanks, merging to master/2.3!
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@ivoson Tengfei, please post the full stack trace of the
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@cloud-fan, do you prefer to have a new API just to be clear, BTW?
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Thanks @dongwang218, LGTM
It seems like the java linter checks are not included in
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the scripts so that
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jenkins retest this please
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As high level comment, to add IDs helps performance/error diagnosis in
production environments. I strongly support to always enable this.
Let me look at technical detail later.
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ok to test
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test this please
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retest this please
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LGTM, @dongjoon-hyun is the current changes include all the lint issues, or
you still have further changes?
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@liutang123 , can you please tell us how to produce your issue easily?
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@ajbozarth @srowen
Fix the code, increase the arrow of the form page, maintain the consistency
of the function.
after fix:
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I'm not sure we can change to `NullableMapVector` and I'm just worrying
whether the `MapVector` is never happened here.
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retest this please
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The most recent test build failure is from an earlier commit which I think
is obsoleted. I think #86007 is correct but we should retest this please to
confirm.
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# format:
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nitpicking though, could you check? @gatorsmile @wzhfy @mbasmanova
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[SPARK-21213][SQL][FOLLOWUP] Use compatible types for comparisons in
compareAndGetNewStats
## What changes were proposed in this pull request?
This pr fixed code to compare values in
GitHub user ivoson reopened a pull request:
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[SPARK-23053][CORE] taskBinarySerialization and task partitions calculate
in DagScheduler.submitMissingTasks should keep the same RDD checkpoint status
â¦d is the same when calculate
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reopen this...
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@xuanyuanking could review this please?
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Can one of the admins verify this patch?
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[SPARK-23053][CORE] taskBinarySerialization and task partitions calculate
in DagScheduler.submitMissingTasks should keep the same RDD checkpoint status
â¦d is the same when calculate
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Github user ho3rexqj commented on a diff in the pull request:
https://github.com/apache/spark/pull/20183#discussion_r161135870
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core/src/main/scala/org/apache/spark/broadcast/TorrentBroadcast.scala ---
@@ -206,37 +206,51 @@ private[spark] class TorrentBroadcast[T:
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