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@@ -303,94 +303,44 @@ case class LoadDataCommand(
Github user xuanyuanking commented on the issue:
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```
If a continuous processing job runs and the same thread gets reused for a
microbatch execution job in the same environment
```
Little confuse about this scenario, could you expla
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--- Diff: R/pkg/R/DataFrame.R ---
@@ -3939,7 +3929,15 @@ setMethod("hint",
signature(x = "SparkDataFrame", name = "character"),
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@seancxmao . For Hive compatibility,
`spark.sql.hive.convertMetastoreParquet=false` looks enough to me.
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> FYI, @mallman I'm working on having ParquetFilter to support
IsNotNull(employer.id) to be pushed into parquet reader.
That would be pretty cool.
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Github user mallman commented on the issue:
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And FYI this is the Jira issue I promised in
https://github.com/apache/spark/pull/22357#issuecomment-419940228
yesterday: https://issues.apache.org/jira/browse/SPARK-25407.
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the failure seems persistent, though unrelated to this PR
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[SPARK-16323][SQ] Add IntegralDivide expression
## What changes were proposed in this pull request?
The PR takes over #14036 and it introduces a new expression
`IntegralDivide` in order t
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Merged to master/2.4.
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Thank you for review, @cloud-fan and @HyukjinKwon .
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TestH
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Github user mallman commented on the issue:
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FYI @viirya @dbtsai @gatorsmile @HyukjinKwon
Can I get someone's review of this PR please? The unmasked failures appear
to be false positives, so no changes to the tested code are requiredâ
Github user xuanyuanking commented on the issue:
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@cloud-fan Thanks for your comment.
```
IIUC, you are pulling out the join condition with python UDF and create a
filter above join. Then the join become a cross join, which usually runs
Github user rgbkrk commented on a diff in the pull request:
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--- Diff: python/pyspark/sql/dataframe.py ---
@@ -375,6 +375,9 @@ def _truncate(self):
return int(self.sql_ctx.getConf(
"spark.s
Github user adambalogh commented on the issue:
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Thank you for the detailed explanation! @vanzin
I agree with what you are saying, however I'm not sure about some of your
points about configs, so I would like to find a common ground re
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This LGTM. I'm not going to submit a PR for my approach to this problem.
Thanks @viirya!
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I'm working on fixing these test failures now. Hopefully I'll have
something pushed soon.
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FYI, the PR I previously mentioned about fixing the use of `withSQLConf` is
#22394.
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[SPARK-25406][SQL] For ParquetSchemaPruningSuite.scala, move calls to
`withSQLConf` inside calls to `test`
(Link to Jira: https://issues.apache.org/jira/browse/SPARK-25406)
## What changes
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retest this please.
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@dongjoon-hyun sure thing, done
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--- Diff:
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@@ -303,94 +303,44 @@ case class LoadDataCommand(
s"
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retest this please
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Github user Fokko commented on the issue:
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I've rebase onto master, and fixed the test. Lets wait for the CI's opinion
of the fix.
The problem was the following, introduced in
https://github.com/apache/spark/pull/21221:
``
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I have some bad news. The methods `testSchemaPruning` and
`testMixedCasePruning` do not set the configuration settings as expected.
Fixing that reveals 6 failing tests for the mixed case tests. One
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--- Diff:
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@@ -155,6 +163,60 @@ class ParquetS
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@viirya Please amend
https://github.com/apache/spark/blob/d684a0f30599d50061ef78ec62edcdd3b726e2d9/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetSchemaPruningSuite
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--- Diff:
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@@ -303,94 +303,44 @@ case class LoadDataCommand(
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Github user skonto commented on the issue:
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@srowen thanks is there someone I could call? @vanzin ?
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Thanks! Closing.
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@@ -303,94 +303,44 @@ case class LoadDataCommand(
s"
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I don't think I know enough about monitoring to merge this. I am concerned
about the duplication here, although I understand your argument why it's
valuable.
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@srowen @xuanyuanking ready for another round.
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Github user SongYadong commented on the issue:
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@dongjoon-hyun . You are right, DataSourceReadBenchmark result show the
benefit is too small even in some cases is covered up by fluctuation.
Java HotSpot(TM) 64-Bit Server VM 1.8.0_141
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retest this please
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