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[SPARK-17654] [SQL] Propagate bucketing information for Hive tables to /
from Catalog
## What changes were proposed in this pull request?
Currently Spark does not respect bucketing
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Github user gatorsmile commented on the issue:
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retest this please
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Github user gatorsmile commented on the issue:
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Mostly LGTM, except three minor comments.
Thank you for your hard work, @JustinPihony !
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Github user gatorsmile commented on a diff in the pull request:
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--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/DataFrameWriter.scala ---
@@ -420,62 +420,11 @@ final class DataFrameWriter[T] private[sql](ds:
Github user gatorsmile commented on a diff in the pull request:
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--- Diff:
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@@ -208,4 +210,84 @@ class JDBCWriteSuite extends SharedSQLContext
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The failure seems to be irrelevant. Retest this please.
```
[info] - Naive Bayes Multinomial *** FAILED *** (137 milliseconds)
[info] Expected 0.7 and 0.6494565217391305 to be
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--- Diff: docs/sql-programming-guide.md ---
@@ -1096,13 +1096,17 @@ the Data Sources API. The following options are
supported:
{% highlight
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Close this PR. Thanks!
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Github user JustinPihony commented on a diff in the pull request:
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--- Diff:
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@@ -21,6 +21,7 @@
import java.util.ArrayList;
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Thanks for mentioning me. It looks good to me in my personal view.
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import java.util.ArrayList;
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@gatorsmile I added the R and SQL documentation. I took the SQL portion
from https://github.com/apache/spark/pull/6121/files
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cc @davies
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GitHub user tejasapatil opened a pull request:
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[SPARK-17654] [SQL] Propagate bucketing information for Hive tables to /
from Catalog
## What changes were proposed in this pull request?
Currently Spark does not respect bucketing
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Can one of the admins verify this patch?
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[SPARK-17655][SQL]Remove unused variables declarations and definations in a
WholeStageCodeGened stage
## What changes were proposed in this pull request?
A WholeStageCodeGened stage with
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import java.util.List;
//
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import java.util.List;
//
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Github user scwf commented on the issue:
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> actual problem is not in abortStage but rather in improper additions to
failedStages
correct, i think a more accurate description for this issue is "do not add
`failedStages` when
GitHub user zsxwing opened a pull request:
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[SPARK-17649][CORE] Log how many Spark events got dropped in
AsynchronousListenerBus
## What changes were proposed in this pull request?
Backport #15220 to 1.6.
## How was this
Github user zhzhan commented on the issue:
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@gatorsmile Thanks. #65832 is the latest one which does not have the same
failure.
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Thanks! Merging to master / 2.0. I will submit a patch for 1.6.
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Github user markhamstra commented on the issue:
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Right, but `abortStage` occurs elsewhere. "When abort stage" seems to
imply that this fix is necessary for all usages of `abortStage` when the actual
problem is not in `abortStage` but rather
Github user scwf commented on the issue:
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Actually the failedStages only added here in spark.
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@scwf That description would actually be at least as bad since there are
multiple routes to `abortStage` and this issue of adding to `failedStages` only
applies to these two. I'll take another
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Ok, that makes better sense.
The `disallowStageRetryForTest` case doesn't worry me too much since it is
only used in tests. If we can fix this case, great; else if it remains
possible
Github user scwf commented on the issue:
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Thanks @zsxwing to explain this.
@markhamstra the issue happens in the case of my PR description. It usually
depends on muti-thread submitting jobs cases and the order of fetch failure, so
i said
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Github user zsxwing commented on the issue:
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@markhamstra I agreed this is not a race condition since there is only one
single thread.
This issue is the code doesn't handle the following two corner cases:
-
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@zsxwing Thanks for the review. Addressed the nit.
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This doesn't make sense to me. The DAGSchedulerEventProcessLoop runs on a
single thread and processes a single event from its queue at a time.
When the first CompletionEvent is run as
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Github user sethah commented on the issue:
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I think we should close this. The new example and the user guide should be
updated against
[SPARK-17239](https://issues.apache.org/jira/browse/SPARK-17239).
@jaceklaskowski If you'd still like to
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Github user felixcheung commented on the issue:
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if it's part of the `-Psparkr` profile of the build it will be regenerated
by default. If it's changed and not in .gitignore it should be flagged for
commit..
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Github user yhuai commented on a diff in the pull request:
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--- Diff:
sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/ColumnVector.java
---
@@ -285,19 +285,19 @@ public void reserve(int
Github user gatorsmile commented on the issue:
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Not sure you already knew it. Just want to share the commands how to build
the doc.
```Scala
SKIP_API=1 jekyll build
SKIP_API=1 jekyll serve
```
After the second
Github user shivaram commented on the issue:
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Yeah - so I'm thinking we should just auto-generate this and check in the
html file in git. Its not that big. When somebody updates the vignette we need
to remind them to regenerate it though as a
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--- Diff: core/src/main/scala/org/apache/spark/util/Utils.scala ---
@@ -698,6 +698,28 @@ private[spark] object Utils extends Logging {
}
Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/15225
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Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/15225
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Github user gatorsmile commented on the issue:
https://github.com/apache/spark/pull/15218
See
https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/65832/testReport/org.apache.spark.streaming.kafka010/DirectKafkaStreamSuite/pattern_based_subscription/history/
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Github user yhuai commented on a diff in the pull request:
https://github.com/apache/spark/pull/15225#discussion_r80337683
--- Diff:
sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/ColumnVector.java
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@@ -285,19 +285,19 @@ public void reserve(int
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