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@@ -0,0 +1,102 @@
+/*
+ *
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@@ -653,6 +655,128 @@ case class
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Github user dongjoon-hyun commented on the issue:
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Hi, @rxin , @cloud-fan , @liancheng . It's ready for merging again.
Thank you so much for being together with this PR!
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Github user dongjoon-hyun commented on a diff in the pull request:
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Github user srowen commented on the issue:
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Merged to master/2.0. I went ahead with this as I think it's a reasonably
important fix for something that only manifests in Java 8, that we hard-kill
executors and don't let them for example finish
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Merged to master/2.0/1.6
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--- Diff: python/pyspark/sql/readwriter.py ---
@@ -745,6 +748,8 @@ def csv(self, path, mode=None, compression=None,
sep=None, quote=None, escape=No
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Github user tdas commented on the issue:
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Merging this to master and 2.0. Will keep monitoring the test flakiness.
Thank you very much @koeninger
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Github user tdas commented on the issue:
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this looks good for scala, please add the java and python.
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Github user dongjoon-hyun commented on the issue:
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Hi, @janplus .
I've done first pass.
Thank you for doing this.
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@cloud-fan I have updated with your branch code. Thanks a lot.
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GitHub user jiangxb1987 opened a pull request:
https://github.com/apache/spark/pull/14012
[SPARK-16343][SQL] Improve the PushDownPredicate rule to pushdown preâ¦
## What changes were proposed in this pull request?
Currently our Optimizer may reorder the predicates to run
Github user jiangxb1987 commented on the issue:
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cc @liancheng @cloud-fan
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Can one of the admins verify this patch?
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Github user lihongliustc commented on the issue:
https://github.com/apache/spark/pull/13925
@srowen Thanks.I will close the PR.And I will try my best to do something
like @gatorsmile said.Thanks to every participant.
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cc @mengxr
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Github user dongjoon-hyun commented on a diff in the pull request:
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--- Diff:
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@@ -0,0 +1,102 @@
+/*
+ *
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@@ -0,0 +1,102 @@
+/*
+ *
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--- Diff:
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@@ -226,6 +226,20 @@ class StringFunctionsSuite extends
Github user dongjoon-hyun commented on a diff in the pull request:
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Merged to master/2.0
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cc @rxin and @cloud-fan
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GitHub user liancheng opened a pull request:
https://github.com/apache/spark/pull/14014
[SPARK-16344][SQL] Decoding Parquet array of struct with a single field
named "element"
## What changes were proposed in this pull request?
This PR ports #14013 to master and
Github user liancheng commented on the issue:
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cc @yhuai
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Github user MLnick commented on the issue:
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@holden that's true for the fully generic approach. But `DataFrameWriter`
for example exposes `json` as a shortcut (type-safe in a way) for
`format("json")`.
I think we can achieve something
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Github user liancheng commented on the issue:
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@rdblue Would you mind to help review this one? My initial investigation
suggested that parquet-avro probably suffers the same issue. Will file a
parquet-mr JIRA ticket soon.
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GitHub user WeichenXu123 opened a pull request:
https://github.com/apache/spark/pull/14015
[SPARK-16345][Documentation][Examples][GraphX] Extract graphx programming
guide example snippets from source files instead of hard code them
## What changes were proposed in this pull
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Github user srowen commented on the issue:
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No changes to the code itself (except perhaps style fixes)? OK.
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Github user jurriaan commented on a diff in the pull request:
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--- Diff: python/pyspark/sql/readwriter.py ---
@@ -745,6 +748,8 @@ def csv(self, path, mode=None, compression=None,
sep=None, quote=None, escape=No
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--- Diff:
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Jenkins retest this please.
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Jenkins, test this please.
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Github user srowen commented on the issue:
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I think the important change regards the transaction isolation level that's
in effect here, but yes that change is also a good one.
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Github user dongjoon-hyun commented on the issue:
https://github.com/apache/spark/pull/13976
Thank you, @cloud-fan . :) I've learn a lot in this PR again.
The followings are applied.
- Use `inputArray.getStruct(i, ncol)`
- Keep the original field name
- Fix
Github user maver1ck commented on the issue:
https://github.com/apache/spark/pull/13925
@srowen
Maybe we should change this condition to
`conn.getMetaData().supportsTransactions()` ?
I can prepare PR.
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Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/13494
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Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/13494
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Github user AmplabJenkins commented on the issue:
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Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/14010
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