Github user lw-lin commented on the issue:
https://github.com/apache/spark/pull/14324
@breakdawn it'd be great to do more tests when you open a request. As I'm
investigate into this too, I found that my same fix works for 201 cols but
fails for 8118 cols. The exact limit is 8117.
Github user breakdawn commented on the issue:
https://github.com/apache/spark/pull/14324
Yes, working on that
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Github user rxin commented on the issue:
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Can you add a test case?
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Github user gatorsmile commented on the issue:
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retest this please
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Github user viirya commented on the issue:
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@cloud-fan any more comments? Thanks!
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Github user gatorsmile commented on the issue:
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cc @marmbrus @cloud-fan @liancheng After history checking, most of codes
are done by you. Thanks!
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Can one of the admins verify this patch?
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GitHub user breakdawn opened a pull request:
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[SPARK-16664][SQL] Fix persist call on Data frames with more than 200â¦
## What changes were proposed in this pull request?
f12f11e578169b47e3f8b18b299948c0670ba585 introduced this bug,
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GitHub user HyukjinKwon opened a pull request:
https://github.com/apache/spark/pull/14323
[SPARK-16675][SQL] Avoid per-record type dispatch in JDBC when writing
## What changes were proposed in this pull request?
Currently, `JdbcUtils.savePartition` is doing type-based
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Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/14164#discussion_r71965649
--- Diff: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
---
@@ -110,6 +110,28 @@ class DataFrameSuite extends QueryTest with
Github user viirya commented on a diff in the pull request:
https://github.com/apache/spark/pull/14296#discussion_r71965620
--- Diff:
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---
@@ -1207,6 +1207,12 @@ class Analyzer(
Github user gatorsmile commented on a diff in the pull request:
https://github.com/apache/spark/pull/14322#discussion_r71965622
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/FileSourceStrategy.scala
---
@@ -135,9 +135,17 @@ private[sql] object
Github user RotemShaul commented on the issue:
https://github.com/apache/spark/pull/13761
Indeed it is, but then you lose the already implemented
GenericAvroSerializer abilities which come out of the box with Spark.
(Caching / Registering of static schemas )
As Spark
Github user viirya commented on the issue:
https://github.com/apache/spark/pull/14259
Thanks for reviewing this.
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Github user cloud-fan commented on the issue:
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thanks, merging to master!
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Github user asfgit closed the pull request at:
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Github user rxin commented on the issue:
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@RotemShaul is this something doable by implementing a custom serializer
outside Spark?
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Github user markgrover commented on the issue:
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Ok, I have pushed changes to use the expansion capabilities brought in by
SPARK-16272. Overall, I think it was a very good call to use that, so thanks
for the suggestions! Would appreciate a
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Github user gatorsmile commented on the issue:
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**After the PR changes**, the whole-stage codegen output is like:
```JAVA
== Subtree 1 / 1 ==
*Scan json [value#37L] Format: JSON, InputPaths:
Github user gatorsmile commented on the issue:
https://github.com/apache/spark/pull/14322
**Before the PR changes**, the whole-stage codegen output is like:
```JAVA
== Subtree 1 / 1 ==
*Project [value#37L]
+- *Scan json [value#37L,p1#39,p2#40,p3#41] Format: JSON,
GitHub user gatorsmile opened a pull request:
https://github.com/apache/spark/pull/14322
[SPARK-16689] [SQL] FileSourceStrategy: Pruning Partition Columns When No
Partition Column Exist in Project
### What changes were proposed in this pull request?
For partitioned file
Github user WeichenXu123 commented on the issue:
https://github.com/apache/spark/pull/14216
@srowen Oh, I miss your comment about loop brace, now it added, thanks!
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Github user nblintao commented on the issue:
https://github.com/apache/spark/pull/14319
Thanks, @ajbozarth.
Yes, I think the configuration alone is not enough for a new tab. @yhuai
and I actually plan to do more on this tab. As mentioned in
Github user yhuai commented on the issue:
https://github.com/apache/spark/pull/14295
@liancheng Can you also change `First`? I think that one is also broken
for this case.
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Github user dongjoon-hyun commented on the issue:
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Rebased.
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Github user sameeragarwal commented on a diff in the pull request:
https://github.com/apache/spark/pull/14304#discussion_r71954942
--- Diff:
sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetEncodingSuite.scala
---
@@ -78,4 +78,30 @@ class
Github user sameeragarwal commented on a diff in the pull request:
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--- Diff:
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@@ -78,4 +78,30 @@ class
Github user zero323 commented on the issue:
https://github.com/apache/spark/pull/14248
@holdenk Can we move this discussion to JIRA?
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Github user sethah commented on the issue:
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cc @MLnick @hhbyyh @mengxr I believe there is still interest in stratified
sampling methods. Could you provide feedback/review on this patch? Thanks!
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GitHub user sethah opened a pull request:
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[SPARK-8971][ML] Add stratified sampling to ML CrossValidator and
TrainValidationSplit
## What changes were proposed in this pull request?
This patch adds the ability to do stratified
Github user ajbozarth commented on the issue:
https://github.com/apache/spark/pull/14319
I've read through your code and didn't catch any issues, I also checked it
out and it looks good. I think this is a nice feature to add, my only qualm is
it add yet another tab to the Web UI. If
Github user holdenk commented on the issue:
https://github.com/apache/spark/pull/9766
I was looking at some similar stuff as part of
https://github.com/apache/spark/pull/13571 and I was thinking that (to match
the Scala API) it would be good to return the UDF object as well so people
Github user holdenk commented on the issue:
https://github.com/apache/spark/pull/14233
Thanks for taking this on! More documentation is always an improvement -
looking at the Scala & Java examples it seems like they are included in
./docs/mllib-feature-extraction.md - it would
Github user shubhamchopra commented on the issue:
https://github.com/apache/spark/pull/13932
Based on feedback from @rxin, added a Basic Strategy that replicates HDFS
behavior as a simpler alternative to the constraint solver. I also ran some
performance tests on the constraint
Github user dhruve commented on the issue:
https://github.com/apache/spark/pull/14269
The set of failures from [Test build
#62733](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/62733/consoleFull)
are unrelated.
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Github user gatorsmile commented on a diff in the pull request:
https://github.com/apache/spark/pull/14314#discussion_r71939503
--- Diff:
sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/SQLViewSuite.scala
---
@@ -55,6 +54,76 @@ class SQLViewSuite extends QueryTest
Github user shivaram commented on the issue:
https://github.com/apache/spark/pull/14309
I'm not sure I am good reviewer for this as I dont fully understand the
consequences inside SQL for this change. cc @liancheng @rxin
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Github user gatorsmile commented on a diff in the pull request:
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--- Diff:
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@@ -55,6 +54,76 @@ class SQLViewSuite extends QueryTest
Github user gatorsmile commented on a diff in the pull request:
https://github.com/apache/spark/pull/14314#discussion_r71938799
--- Diff:
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@@ -55,6 +54,76 @@ class SQLViewSuite extends QueryTest
Github user gatorsmile commented on a diff in the pull request:
https://github.com/apache/spark/pull/14240#discussion_r71938022
--- Diff:
sql/core/src/test/scala/org/apache/spark/sql/sources/PrunedScanSuite.scala ---
@@ -114,16 +114,15 @@ class PrunedScanSuite extends
Github user gatorsmile closed the pull request at:
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Github user gatorsmile commented on the issue:
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Since File Scan is completely different from Data Source Table Scan, Hive
Table Scan and In-memory Table Scan, it does not make sense to make all of them
consistent. Close it now.
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Github user hastimal commented on the issue:
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@andrewor14 Thank you for these info.
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Github user squito commented on the issue:
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Jenkins, retest this please
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Github user dongjoon-hyun commented on the issue:
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Thank you for review and merging, @srowen and @rxin .
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Github user srowen commented on the issue:
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This doesn't seem to be the change discussed in the JIRA
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Github user sameeragarwal commented on the issue:
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LGTM. cc @ericl
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Github user tdas commented on a diff in the pull request:
https://github.com/apache/spark/pull/14292#discussion_r71924307
--- Diff:
sql/core/src/test/scala/org/apache/spark/sql/test/SQLTestUtils.scala ---
@@ -247,6 +248,46 @@ private[sql] trait SQLTestUtils
}
}
Github user sameeragarwal commented on a diff in the pull request:
https://github.com/apache/spark/pull/14174#discussion_r71924045
--- Diff:
sql/catalyst/src/main/java/org/apache/spark/sql/catalyst/expressions/RowBasedKeyValueBatch.java
---
@@ -0,0 +1,182 @@
+/*
+ *
Github user tdas commented on a diff in the pull request:
https://github.com/apache/spark/pull/14292#discussion_r71923960
--- Diff:
sql/core/src/test/scala/org/apache/spark/sql/test/SQLTestUtils.scala ---
@@ -247,6 +248,46 @@ private[sql] trait SQLTestUtils
}
}
Github user sameeragarwal commented on a diff in the pull request:
https://github.com/apache/spark/pull/14174#discussion_r71923918
--- Diff:
sql/catalyst/src/main/java/org/apache/spark/sql/catalyst/expressions/RowBasedKeyValueBatch.java
---
@@ -0,0 +1,182 @@
+/*
+ *
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