Github user yaooqinn commented on the issue:
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use spark-2.2.0-bin-hadoop2.7 numpy
examples/src/main/python/mllib/correlations_example.py
### case 1
|key|value|
|---|---|
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Github user viirya commented on the issue:
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@cloud-fan Sure. Seems there is no option to reopen it as it was merged
before. Should I create another PR for it?
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Hi @viirya , since it's close to Spark 2.3, would you like to reopen this
PR? Thanks!
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--- Diff:
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@@ -568,8 +570,13 @@ object DataSource extends
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@@ -363,6 +363,11 @@ object SQLConf {
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maybe have a PR to move the tests first?
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Github user yaooqinn commented on the issue:
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@vanzin PYSPARK_DRIVER_PYTHON won't work because
[context.py#L191](https://github.com/yaooqinn/spark/blob/8ff5663fe9a32eae79c8ee6bc310409170a8da64/python/pyspark/context.py#L191)
does't deal with
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@@ -0,0 +1,103 @@
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This is a second PR after #19651 .
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@@ -296,6 +298,12 @@ object SparkSubmit extends CommandLineUtils with
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+#
+# Licensed to the Apache Software
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[SPARK-20728][SQL] Make OrcFileFormat configurable between sql/hive and
sql/core
## What changes were proposed in this pull request?
This PR aims to provide a configuration to
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Jenkins, retest this please.
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ping @cloud-fan @hvanhovell
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ping @cloud-fan @kiszk Do you have more review on this? Thanks.
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[SPARK-22665][SQL] Avoid repartitioning with empty list of expressions
## What changes were proposed in this pull request?
Repartitioning by empty set of expressions is currently
Github user dongjoon-hyun commented on the issue:
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Hi, @cloud-fan .
This is the first followup after #19651 .
Could you review this PR, too?
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@@ -15,20 +15,21 @@
* limitations under the
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+/*
+ * Licensed
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After rethinking about it, this is not a right fix. I will close it first.
There are multiple issues in the existing `PropagateTypes `
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@gatorsmile . Since the main PR is merged, I'll include this into the
others. Thanks!
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I wil try to complete it in this month
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This is resolved via https://github.com/apache/spark/pull/19651 .
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Thank you so much for making ORC move forward, @cloud-fan !
Also, thank you, @HyukjinKwon , @gatorsmile , @viirya , @kiszk .
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cc @juliuszsompolski @kiszk @viirya @maropu
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[SPARK-22677][SQL] cleanup whole stage codegen for hash aggregate
## What changes were proposed in this pull request?
The `HashAggregateExec` whole stage codegen path is a little messy
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thanks, merging to master!
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I am neutral how to fix this problem in the current master. What I am
saying from the beginning is that this problem does not only exists in #19811,
but also in the current master.
I am
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@kiszk I think that in the case you hit them, this might have also been
done appositely and relying on the way Java behaves, ie. that it uses the local
variable and the global one is not used
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LGTM, merging to master!
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@cloud-fan I see. As I pointed out, there are several places to set a
global variable `ExprCode.value` that is passed to successor operations.
Should we make lifetime of global time local in an
Github user viirya commented on the issue:
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I think for this case, shouldn't we fix it and not pass in a global
variable into `splitExpressions`?
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@mgaido91 @viirya As you see, we see an assertion failure. Here is an
evidence that we pass a global variable to arguments of split function.
In practice, we did not guarantee that we do not pass
Github user cloud-fan commented on the issue:
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making a variable global need to be done manually(call `ctx.mutableState`),
splitting the code into methods also need to be done manually(call
`ctx.splitExpressions`). If we hit a problem here,
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thanks, merging to master!
followups:
1. add a config to use new orc by default
2. move orc test to sql core
3. columnar orc reader
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@CodingCat
Thank you:)
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Github user mgaido91 commented on the issue:
https://github.com/apache/spark/pull/19860
@kiszk @viirya I made the following performance test:
```
val a = (1 to 10).map(x => 1).toDS
val filtered = a.where($"value".isin((1 to 10): _*))
(1 to
Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/19868
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