GitHub user gengliangwang opened a pull request:
https://github.com/apache/spark/pull/22121
[SPARK-25133][SQL][Doc]AVRO data source guide
## What changes were proposed in this pull request?
Create documentation for AVRO data source.
The new page will be linked in
https:
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Github user xuanyuanking commented on the issue:
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retest this please
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Github user squito commented on the issue:
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can you please close this pr @deshanxiao ?
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Github user redsanket commented on the issue:
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@Victsm @vanzin i want to get this going, is it better if I have a PR up
with the requested changes and concerns?
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Github user squito commented on a diff in the pull request:
https://github.com/apache/spark/pull/21899#discussion_r210645167
--- Diff:
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---
@@ -118,12 +119,19 @@ case class BroadcastExchange
Github user squito commented on a diff in the pull request:
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--- Diff:
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@@ -118,12 +119,19 @@ case class BroadcastExchange
Github user squito commented on the issue:
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lgtm, just a small reword in one of the msgs suggested by maxgekk.
@hvanhovell @gatorsmile would you like to review this as well?
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Github user squito commented on the issue:
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restest this please
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GitHub user xuanyuanking opened a pull request:
https://github.com/apache/spark/pull/22122
[SPARK-24665][PySpark][FollowUp] Use SQLConf in PySpark to manage all sql
configs
## What changes were proposed in this pull request?
Follow up for SPARK-24665, find some others hard
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Github user HyukjinKwon commented on the issue:
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Are they all instances to fix?
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GitHub user koertkuipers opened a pull request:
https://github.com/apache/spark/pull/22123
[SPARK-25134][SQL] Csv column pruning with checking of headers throws
incorrect error
## What changes were proposed in this pull request?
When column pruning is turned on the checking
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Github user gatorsmile commented on the issue:
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@HyukjinKwon I am worrying about the design of a mixture of representation
s"" and code""? When the design is not good, it is hard to maintain it and add
new code based on this. Let @cloud-fan to
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Github user shaneknapp commented on the issue:
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oh wow, nice find @HyukjinKwon! code archaeology ftw! :)
anyways: that PR went through about a week after i started here @ the
amplab and i don't think i even had access to the build s
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> I would propose we fix the things that are using the round robin type
partitioning (repartition) but then unordered things like zip/MapPartitions
(via user code) we document or perhaps give the
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Github user squito commented on the issue:
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the added tests are good. This is pretty nit-picky, but looking at the
whole test suite, are there any tests that check for anything other than the
first byte (or array length)? Seems the longer ca
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"This usually
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Github user gengliangwang commented on the issue:
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@tgravescs I saw your comments. Just feel that we can make it simpler by
reverting it.
For hive tables that used Databricks spark-avro, the tables can still using
the Databricks repo(sinc
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Github user gengliangwang commented on the issue:
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But it seems that creating a configuration makes everyone happy...
I will wait for another day to get more thoughts.
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Github user kiszk commented on the issue:
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@gatorsmile Thank you for your reply. Could you elaborate on your
suggestion?
>A general suggestion. To avoid introducing the regressions, how about
implementing a new one without changing the exi
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Github user tgravescs commented on the issue:
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How do users manually migrate and keep compatibility?That is the
problem I have, I am all for reverting, if we have an easy way for users to
migrate to the internal one.
Note that
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Github user BryanCutler commented on a diff in the pull request:
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--- Diff: python/pyspark/sql/tests.py ---
@@ -4331,13 +4354,22 @@ def test_createDataFrame_fallback_enabled(self):
self.assertEq
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Github user BryanCutler commented on the issue:
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@shaneknapp would you mind kicking off a test on one of the workers with
python 3.5 and pyarrow 0.10.0 to verify this PR is passing under that env?
Sorry for the special request, this should be
Github user jaceklaskowski commented on a diff in the pull request:
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@@ -80,7 +80,5 @@ case class Mon
Github user icexelloss commented on the issue:
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Tests pass now. This comment
https://github.com/apache/spark/pull/22104/files#r210414941 requires some
attention. @cloud-fan Do you think this is the right way to handle
GenericInternalRow input
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--- Diff: core/src/main/scala/org/apache/spark/executor/Executor.scala ---
@@ -216,8 +217,7 @@ private[spark] class Executor(
def stop(): Unit
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@@ -69,6 +69,11 @@ package object config {
.bytesConf(ByteUnit.Ki
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Github user vanzin commented on the issue:
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Is this really necessary? It will always be "1", since client-mode apps are
not re-tried (the YARN AM might be, but the driver is not). That makes it not
really useful.
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--- Diff:
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@@ -2223,21 +2223,31 @@ class JsonSuite extends Qu
Github user shaneknapp commented on the issue:
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ugh hang on. lemme fix that crap. (this is on a testing branch in my
personal spark form)
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Github user shaneknapp commented on the issue:
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i've been having trouble getting this build to pass, and i'm testing a few
other modules on top of yours. if i have problems, i'll revert the extraneous
changes and build yours.
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GitHub user wangyum opened a pull request:
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[SPARK-25135][SQL] Insert datasource table may all null when select from
view
## What changes were proposed in this pull request?
How to reproduce:
```scala
val path = "/tmp/spark/
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Github user arunmahadevan commented on the issue:
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@HyukjinKwon , can you take it forward? Appreciate your effort and thanks
in advance.
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Github user MaxGekk commented on a diff in the pull request:
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--- Diff:
sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/json/JsonSuite.scala
---
@@ -2223,21 +2223,31 @@ class JsonSuite extends Query
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