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Github user tdas commented on the issue:
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LGTM. Thanks @brkyvz. Merging to master and 2.2
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Previous discussion on this PR is here
https://github.com/apache/spark/pull/19103
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Thank you, @gatorsmile . The PR becomes much general.
When I started this PR, I didn't notice that the current Spark had so many
missing cases like this.
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ok to test
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Can one of the admins verify this patch?
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Github user redsanket commented on the issue:
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@vanzin @tgravescs sorry for the delay, will put up a PR against master, we
can move further discussion there, about the suggested improvements, I put up a
PR against master just for workaround.
GitHub user redsanket opened a pull request:
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[SPARK-21890] Credentials not being passed to add the tokens
I observed this while running a oozie job trying to connect to hbase via
spark.
It look like the creds are not being passed in
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@gatorsmile .
For this PR, I just update the doc only. Thank you so much!
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Github user brad-kaiser commented on the issue:
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Thanks vanzin.
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This should be ready to merge @jkbradley @MLnick
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Github user gatorsmile commented on the issue:
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`abstract class HadoopFsRelationTest` is extended by four data sources. You
can move some test cases into it. However, I am not sure whether you do it for
all of them.
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Github user vanzin commented on the issue:
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It might take some time for me to find time to review this, but in the
meantime others who might be interested: @cloud-fan @JoshRosen
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Github user dongjoon-hyun commented on the issue:
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As you pointed out, I checked it again. Right, `HadoopFsRelationTest` have
it.
Should we merge `ParquetPartitionDiscoverySuite` and
`OrcPartitionDiscoverySuite` into
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Are the partition discovery applicable to all the built-in data sources?
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Sure, I'll.
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ok to test
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[MINOR][DOC] Add ORC in `Partition Discovery` section.
## What changes were proposed in this pull request?
Like Parquet, ORC data source supports `Partition Discovery`. We had better
GitHub user brkyvz opened a pull request:
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[SPARK-21925] Update trigger interval documentation in docs with behavior
change in Spark 2.2
Forgot to update docs with behavior change.
You can merge this pull request into a Git repository by
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Github user tgravescs commented on the issue:
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yes user stated he will be opening one for master, but that is quite a bit
different due to the credentials stuff moving around so I think this one will
have to stay open anyway. But I
Github user gatorsmile commented on the issue:
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Could you check the change history when we remove the usage of this
SQLConf? It sounds like we do not have a test case coverage for this in the
past. We did not realize it when removing the
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Of course, I want to proceed in any part of ORC!
As you know, I tried many trials to get a chance to be reviewed.
Some PR gets it, but the other ORC PR like #18953 didn't get a feedback
Github user vanzin commented on the issue:
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BTW Oozie can also disable the HDFS provider
(`spark.yarn.security.credentials.hadoopfs.enabled=false`, I think). But it
would be nice if Spark was able to do that by itself is the current UGI does
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--- Diff:
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@@ -297,6 +298,15 @@ final class OneVsRest @Since("1.4.0") (
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--- Diff: python/pyspark/ml/param/_shared_params_code_gen.py ---
@@ -152,6 +152,8 @@ def get$Name(self):
("varianceCol", "column name for
Github user zsxwing commented on the issue:
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Just realized the last build is 18 days ago. Triggered a new now. Will
merge after passing tests.
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retest this please
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LGTM since enableVerboseMetrics is off by default. Merging to master.
Thanks!
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just in case someone wants to try:
```
resolvers += "jitpack" at "https://jitpack.io;
libraryDependencies += "com.github.VideoAmp" % "spark-public" %
Github user jiangxb1987 commented on the issue:
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The change itself looks good, but I'm afraid it's a bit too verbose to add
all of those metrics. cc @zsxwing .
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Github user gatorsmile commented on the issue:
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If you want to hold, we can wait for the completion of data source API v2.
Otherwise, we can start it now and change it if needed.
Conceptually, the test coverage improvement should be
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Github user vanzin commented on the issue:
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For python I think you just do what kinesis does:
```
# Must be same as the variable and condition defined in
KinesisTestUtils.scala
kinesis_test_environ_var = "ENABLE_KINESIS_TESTS"
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Is the plan aligned with the ongoing [Data Source V2](#19136) ?
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Github user gatorsmile commented on the issue:
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To avoid duplicating the efforts, we should have a unified testing
framework for covering the PPD of all the sources. Parquet and ORC should be
part of it. In the future, when we add the other
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retest this please
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LGTM pending jenkins
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Github user janewangfb commented on a diff in the pull request:
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To be more clear, I mean the existing Parquet coverage in Apache Spark code
base.
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The test case coverage parity between Parquet and ORC should be the
criteria for this, right?
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+/*
+ * Licensed to
Github user gatorsmile commented on the issue:
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Left a few comments in the another PR:
https://github.com/apache/spark/pull/19060#discussion_r137060959.
I think it is a right time to improve the test case coverage before
turning
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Github user janewangfb commented on a diff in the pull request:
https://github.com/apache/spark/pull/18975#discussion_r137060998
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/command/InsertIntoDataSourceDirCommand.scala
---
@@ -0,0 +1,81 @@
+/*
+ *
Github user janewangfb commented on a diff in the pull request:
https://github.com/apache/spark/pull/18975#discussion_r137060557
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/SparkSqlParser.scala ---
@@ -1509,4 +1509,86 @@ class SparkSqlAstBuilder(conf: SQLConf)
Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/19099
**[Test build #81418 has
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Github user janewangfb commented on a diff in the pull request:
https://github.com/apache/spark/pull/18975#discussion_r137058514
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/SparkSqlParser.scala ---
@@ -1509,4 +1509,86 @@ class SparkSqlAstBuilder(conf: SQLConf)
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