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GitHub user liu-zhaokun opened a pull request:
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[SPARK-21168] KafkaRDD should always set kafka clientId.
There are no a number of other places that a client ID should be set,and I
think we should use consumer.clientId in the clientId
Github user liyinan926 commented on a diff in the pull request:
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Github user dongjoon-hyun commented on the issue:
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Could you review this again, @cloud-fan and @gatorsmile ?
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gental ping @gatorsmile
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+ *
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+ *
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@@ -1428,6 +1428,12 @@ private object Client extends
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@@ -614,11 +531,63 @@ class OrcQuerySuite extends
Github user jerryshao commented on the issue:
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@vanzin please help to review, thanks!
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LGTM
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Github user vanzin commented on the issue:
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@devaraj-kavali looks like you'll need to update the kubernetes backend
now...
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Thanks! Merged to master.
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Github user BryanCutler commented on the issue:
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@zsxwing, fyi after applying your Netty upgrade patch to Arrow, and then
your other patch for Spark, all of the Spark Scala/Java tests pass
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Github user jerryshao commented on the issue:
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@merlintang would you please add the problem to your PR description,
currently it is a WASB problem in which userInfo is honored to differentiate
filesystems. Please add the scenario to the
Github user WeichenXu123 commented on a diff in the pull request:
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--- Diff:
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@@ -0,0 +1,173 @@
+/*
+ * Licensed to the Apache
Github user HyukjinKwon commented on a diff in the pull request:
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--- Diff: python/pyspark/sql/session.py ---
@@ -324,11 +324,12 @@ def range(self, start, end=None, step=1,
numPartitions=None):
Github user HyukjinKwon commented on the issue:
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Can we set the `names` for `_createFromRDD` -> `_inferSchema` too?:
```python
>>> spark.createDataFrame(spark.sparkContext.parallelize([[None, 1], ["a",
None], [1, 1]]),
Github user dongjoon-hyun commented on the issue:
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Thank you so much, @HyukjinKwon !
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cc @zsxwing as well, I saw you opened a JIRA about this - SPARK-22656
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Whoa big class list. Will take a look soon within tomorrow as well.
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ok to test
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The branch 2.2 PR for this fix is here:
https://github.com/apache/spark/pull/19886
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[SPARK-22162][BRANCH-2.2] Executors and the driver should use consistent
JobIDs in the RDD commit protocol
I have modified SparkHadoopMapReduceWriter so that executors and the driver
always use
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@jerryshao can you review this patch?
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[SPARK-22587] Spark job fails if fs.defaultFS and application jar are dâ¦
â¦ifferent url
## What changes were proposed in this pull request?
Two filesystems comparing does
Github user BryanCutler commented on a diff in the pull request:
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--- Diff: pom.xml ---
@@ -185,7 +185,7 @@
2.8
1.8
1.0.0
-0.4.0
+0.8.0-SNAPSHOT
--- End diff --
Github user BryanCutler commented on the issue:
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> Great, @BryanCutler . Could you put the highlight in the PR description,
too?
Sure, thanks @dongjoon-hyun ! Will do, just want to go back and check the
release notes first
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--- Diff: pom.xml ---
@@ -185,7 +185,7 @@
2.8
1.8
1.0.0
-0.4.0
+0.8.0-SNAPSHOT
--- End diff --
Github user BryanCutler commented on the issue:
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This is a WIP to start updating Spark to use Arrow 0.8.0 which will be
released soon.
TODO:
- [ ] Update to reflect Java API changes
- [ ] Update to reflect Python API
Github user dongjoon-hyun commented on the issue:
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Great, @BryanCutler . Could you put the highlight in the PR description,
too?
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--- Diff: python/pyspark/sql/group.py ---
@@ -89,8 +89,15 @@ def agg(self, *exprs):
else:
# Columns
assert
Github user BryanCutler commented on the issue:
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The highlights that pertain to Spark for the update from Arrow versoin
0.4.1 to 0.8.0 include:
* Java refactoring for more simple API
* Type support for DecimalType, ArrayType
*
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Github user mandar2812 commented on the issue:
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It didn't make it into spark. Instead I started the
[DynaML](https://github.com/transcendent-ai-labs/DynaML) project and made
kernels a key module of it, along with spark support.
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GitHub user BryanCutler opened a pull request:
https://github.com/apache/spark/pull/19884
[WIP][SPARK-22324][SQL][PYTHON] Upgrade Arrow to 0.8.0
## What changes were proposed in this pull request?
Upgrade Spark to Arrow 0.8.0 for Java and Python
## How was this
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