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--- Diff:
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@@ -936,7 +936,39 @@ class SparkSqlAstBuilder(conf: SQLConf) extends
Github user cloud-fan commented on the pull request:
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LGTM
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@@ -447,52 +447,20 @@ private[hive] class
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GitHub user liancheng opened a pull request:
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[SPARK-14343][SQL] Proper column pruning for text data source
## What changes were proposed in this pull request?
Text data source ignores requested schema, and may give wrong result
Github user rxin commented on a diff in the pull request:
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@@ -114,13 +110,15 @@ case class InsertIntoHiveTable(
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Github user liancheng commented on the pull request:
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LGTM except for a few minor comments.
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LGTM pending Jenkins.
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Github user HyukjinKwon commented on a diff in the pull request:
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--- Diff:
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@@ -578,62 +583,6 @@ private[sql]
Github user yhuai commented on the pull request:
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It is a good idea to add it if parquet supports it (I have an impression
that parquet does not support it. But maybe I am wrong). I think having
benchmark results is a good practice, so we can
Github user yhuai commented on a diff in the pull request:
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Github user clockfly commented on the pull request:
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retest this please
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Github user rxin commented on the pull request:
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@andrewor14 when you merge pull requests in the future, please have an
explicit message that the pr's merged and include the branches.
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@@ -84,6 +84,13 @@ object ScalarSubquery {
case
Github user viirya commented on the pull request:
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BTW, I can't see any reason not to add a row-group level filter for parquet.
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@yhuai As you can see, this is not to fix a bug/problem. So I think it
might be hard to provide a test case for it. I will try to do the benchmark.
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Github user yhuai commented on the pull request:
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Can you provide a test case that shows the problem? Also, can you provide
benchmark results of the performance benefit?
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Github user yanboliang commented on the pull request:
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I checked and found that this example is broken since Spark 1.4.0. Because
before Spark 1.4.0, we don't use ```Params.shouldOwn``` method to validate that
the input param belongs to the
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Github user yanboliang commented on the pull request:
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@jkbradley Yes, we can fix it, but it may involves lots of changes which is
not reasonable to be get in during QA. The main cause of this bug is that we
only implement abstract class
Github user WangTaoTheTonic commented on the pull request:
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cc @liancheng @andrewor14 Could you please review this? Thanks!
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retest this please
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Since this has been resolved by @andrewor14 , let me close it.
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--- Diff:
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Github user yhuai commented on the pull request:
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This PR makes the behavior of drop and withColumn consistent. Let's decide
what we do for backticks in a separate JIRA.
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Thanks for helping review. @MLnick
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--- Diff:
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--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/objects/objects.scala
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@@ -721,8 +716,55 @@ case class
Github user gatorsmile commented on the pull request:
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@rxin @andrewor14 @srowen It causes a build break:
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Please merge it ASAP. Thanks!
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[HOT-FIX] Fix the test case failures in DDLSuite
What changes were proposed in this pull request?
Test cases failure in `DDLSuite ` introduced in
Github user jerryshao commented on the pull request:
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@cloud-fan , would you please help to review this patch, not sure it is the
right fix. Thanks a lot.
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cc @marmbrus
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Github user rxin commented on a diff in the pull request:
https://github.com/apache/spark/pull/13429#discussion_r65292690
--- Diff:
sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamTest.scala ---
@@ -63,7 +65,7 @@ import org.apache.spark.util.{Clock, ManualClock,
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GitHub user rxin opened a pull request:
https://github.com/apache/spark/pull/13429
[SPARK-15686][SQL] Move user-facing streaming classes into sql.streaming
## What changes were proposed in this pull request?
This patch moves all user-facing structured streaming classes into
Github user SparkQA commented on the pull request:
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