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Thank you for updating and rerunning the tests, @heary-cao .
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retest this please
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I think you can just manually convert from Pandas DataFrame, no?
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> https://issues.apache.org/jira/browse/SPARK-25879
>
> If we select a nested field and a top level field, the schema pruning
will fail. Here is the reproducible test,
> ...
Hi
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Hadoop config should overwrite by users conf
## What changes were proposed in this pull request?
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test this please
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cc @viirya
If we select a nested field and a top level field, the schema pruning will
fail. Here is the reproducible test,
```scala
testSchemaPruning("select a single complex
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user set's hadoop conf should not overwrite by sparkcontext's conf
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SPARK-25881
add parametere coerce_float
https://issues.apache.org/jira/browse/SPARK-25881
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Thanks @gengliangwang and @HyukjinKwon. Done in this commit.
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@dongjoon-hyun, Well, my office machine.
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[SPARK-25884][SQL] Add TBLPROPERTIES and COMMENT, and use LOCATION when
SHOW CREATE TABLE.
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Practically, though, it generates a whole copy of the map at every update,
so for 10 items, the implementation in the PR generates 9 copies of 1, 2, 3,
... elements, while the current one
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Install Spark I mentioned above.
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I think these are good changes. In a separate PR for the versions-specific
docs, we could add a similar note to
https://spark.apache.org/docs/latest/spark-standalone.html as much of the
security
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Looks fine. Maybe some Maven cache somewhere has to be deleted as it's
corrupt?
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Regarding the third one, the proposed implementation is, conceptually, the
same as current one. Under the hood, hugeBlockSizesArray.toMap just updates an
internal immutable map reference by tuples
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+/*
+ * Licensed to the Apache Software
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