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The change looks fine.
Do we already have tests for cases 2 and 4? We know test for case 3 is
[here](https://github.com/apache/spark/pull/23043).
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Is there any more suggestions? @wangyum @viirya
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Thank you for adding this to the migration doc.
cc @gatorsmile .
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--- Diff: docs/sql-migration-guide-upgrade.md ---
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- In Spark version 2.3 and
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ping @dbtsai
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do we need to relnote jvm compatibility?
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Retest this please.
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@guoxiaolongzte good job
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--- Diff: R/pkg/vignettes/sparkr-vignettes.Rmd ---
@@ -968,6 +970,17 @@ predicted <- predict(model, df)
head(predicted)
```
+
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case _
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[SPARK-26239] File-based secret key loading for SASL.
## What changes were proposed in this pull request?
This proposes an alternative way to load secret keys into a Spark
application
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@vanzin @vinooganesh @ifilonenko
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Github user xuanyuanking commented on the issue:
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```
the code looks much cleaner now!
```
Sorry for the original rush and code, I should and will pay more attention
on coding clean and more discussion on optional implementation.
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private val
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+/*
+ * Licensed to the Apache
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Thank you, @HyukjinKwon . Merged to master.
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retest this please
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Yes it is. `UnsafeProjection` always normalize NaN and -0.0, and Spark uses
`UnsafeProjection` to produce output. So users can't distinguish them.
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Thank you @cloud-fan @viirya @HyukjinKwon .
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The migration guide has changed by another followup
https://github.com/apache/spark/pull/23141:
> In Spark version 2.4 and earlier, float/double -0.0 is semantically equal
to 0.0, but users
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GitHub user 10110346 opened a pull request:
https://github.com/apache/spark/pull/23251
[SPARK-26300][SS] The `checkForStreaming` mothod may be called twice in
`createQuery`
## What changes were proposed in this pull request?
If `checkForContinuous` is called (
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