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Github user JoshRosen commented on the issue:
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jenkins retest this please
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Github user mpjlu commented on the issue:
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I don't think we should use BLAS 3 here, because no matter use output or
not here, you need a big buffer to save the BLAS result. That still cause GC
problem.
I also want to test: build a
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Github user hhbyyh commented on a diff in the pull request:
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--- Diff:
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@@ -223,6 +229,25 @@ class LinearSVCSuite extends SparkFunSuite
Github user HyukjinKwon commented on the issue:
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Thanks everyone.
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Github user cloud-fan commented on the issue:
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thanks, merging to master/2.2!
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To run again?
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Github user felixcheung commented on the issue:
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ah, you are right. I'm going to fix the python code
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Github user cloud-fan commented on the issue:
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LGTM, cc @gatorsmile to take another look
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Github user hhbyyh commented on a diff in the pull request:
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--- Diff:
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@@ -154,22 +159,23 @@ class LinearSVCSuite extends SparkFunSuite
Github user rxin commented on the issue:
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What's the issue with SQL metrics?
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cc @vanzin
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GitHub user cloud-fan opened a pull request:
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[SPARK-12837][CORE][FOLLOWUP] getting name should not fail if accumulator
is garbage collected
## What changes were proposed in this pull request?
After
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Github user mpjlu commented on the issue:
https://github.com/apache/spark/pull/17742
Thanks @mengxr , glad to meet you here. I am Meng Peng.
I have tested different blockSize, see
https://issues.apache.org/jira/browse/SPARK-20443
I will test the other methods you mentioned.
GitHub user cloud-fan opened a pull request:
https://github.com/apache/spark/pull/17930
[SPARK-20688][SQL] correctly check analysis for scalar sub-queries
## What changes were proposed in this pull request?
In `CheckAnalysis`, we should call `checkAnalysis` for
Github user cloud-fan commented on the issue:
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cc @rxin @gatorsmile
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Github user mengxr commented on the issue:
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I think the problem is not BLAS-3 ops, nor the 256MB total memory. The `val
output = new Array[(Int, (Int, Double))](m * n)` is not specialized. Each
element holds two references. If `m=4096` and
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Github user dongjoon-hyun commented on the issue:
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Yep. Since this is an approach adding new dependency on Apache ORC, the
non-vectorized PR also will need more supports(or approval) from the
committers. I'll wait for more opinions at the
Github user viirya commented on the issue:
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@dongjoon-hyun It is good for me. We can reduce the size of this PR too and
mitigate review job.
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Github user dongjoon-hyun commented on the issue:
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@cloud-fan and @viirya .
Shall we remove the vectorized part from this PR?
- The non-vectorized ORCFileFormat is mandatory and also the performance is
better than the current one.
Github user viirya commented on a diff in the pull request:
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--- Diff:
sql/hive/src/test/scala/org/apache/spark/sql/hive/orc/OrcReadBenchmark.scala ---
@@ -0,0 +1,415 @@
+/*
+ * Licensed to the Apache Software
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+/*
+ * Licensed to the Apache
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--- Diff:
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---
@@ -413,38 +428,102 @@ class
Github user maropu commented on a diff in the pull request:
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--- Diff:
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@@ -290,4 +290,15 @@ class SparkSqlParserSuite extends
Github user maropu commented on the issue:
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@cloud-fan ok, could you check again? Thanks!
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Github user maropu commented on a diff in the pull request:
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--- Diff: sql/core/src/test/resources/sql-tests/inputs/operator.sql ---
@@ -32,3 +32,11 @@ select 1 - 2;
select 2 * 5;
select 5 % 3;
select
Github user dongjoon-hyun commented on the issue:
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Hmm. It seems `Merge remote-tracking branch` makes rebasing confused. Let
me think how to compare this.
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Github user viirya commented on a diff in the pull request:
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--- Diff:
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@@ -0,0 +1,415 @@
+/*
+ * Licensed to the Apache Software
Github user gatorsmile commented on the issue:
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LGTM pending test
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Github user gatorsmile commented on the issue:
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Two tables `bucketed_table ` and `sorted_bucketed_table ` are from the same
file `readwriter.py`.
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Github user gatorsmile commented on the issue:
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[Second
one](https://github.com/apache/spark/blob/096df6d933c5326e5782aa8c5de842a0800eb369/sql/core/src/test/scala/org/apache/spark/sql/sources/BucketedWriteSuite.scala#L188)
should not create a
Github user HyukjinKwon commented on the issue:
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(it looks the test failure is unrelated to me)
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Github user dongjoon-hyun commented on the issue:
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Thank you! First, I'll try to rebase and run with my `OrcReadBenchmark`
(which is similar with ParquetReadBenchmark).
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Github user viirya commented on the issue:
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@dongjoon-hyun No problem.
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Otherwise, may I implement this way in my PR as a Viirya's approach?
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Github user viirya commented on the issue:
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@dongjoon-hyun Sure. Do you need any help?
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Github user dongjoon-hyun commented on the issue:
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@viirya . If possible, I'd like to benchmark this PR in my laptop.
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Github user viirya commented on the issue:
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From the current benchmark, seems the performance has not obvious
improvement, compared with the vectorized Hive ORC reader #13775.
Maybe with more efficient batch approach as @cloud-fan
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Github user gatorsmile commented on the issue:
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LGTM except a trivial comment.
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--- Diff:
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@@ -68,8 +63,13 @@ object
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--- Diff:
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@@ -0,0 +1,407 @@
+/*
+ *
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+/*
+ *
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+/*
+ *
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Github user asfgit closed the pull request at:
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Github user HyukjinKwon commented on the issue:
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It seems adding a functionality and not a trivial fix. I think we need a
JIRA.
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Github user hvanhovell commented on the issue:
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LGTM - merging to master/2.2. Thanks!
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--- Diff:
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---
@@ -47,36 +47,11 @@ abstract class LogicalPlan
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@@ -290,4 +290,15 @@ class SparkSqlParserSuite extends
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--- Diff:
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@@ -547,6 +547,10 @@ valueExpression
|
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--- Diff: sql/core/src/test/resources/sql-tests/inputs/operator.sql ---
@@ -32,3 +32,11 @@ select 1 - 2;
select 2 * 5;
select 5 % 3;
select
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LGTM
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Github user fjh100456 commented on the issue:
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I see, but really it's not easy to find the speculative tasks, especially
when the succeeded task num are inconsistent on the all jobs page and the job
detail page.
Shall we let them seems
Github user mpjlu commented on the issue:
https://github.com/apache/spark/pull/17739
Hi @MLnick , since #17742 is merged into branch-2.2, and this PR is related
with PR17742. Should we close this PR and open a new PR based on branch-2.2.
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Github user HyukjinKwon commented on the issue:
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Sure.
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Github user zuotingbing commented on a diff in the pull request:
https://github.com/apache/spark/pull/17858#discussion_r115640830
--- Diff:
sql/hive/src/main/scala/org/apache/spark/sql/hive/execution/InsertIntoHiveTable.scala
---
@@ -97,12 +97,23 @@ case class
Github user jinxing64 commented on the issue:
https://github.com/apache/spark/pull/16989
Yes, I will refine :)
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Github user viirya commented on the issue:
https://github.com/apache/spark/pull/17916
@HyukjinKwon Shall we also update the PR description?
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Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/17633#discussion_r115639892
--- Diff:
sql/hive/src/main/scala/org/apache/spark/sql/hive/client/HiveShim.scala ---
@@ -589,18 +590,34 @@ private[client] class Shim_v0_13 extends
Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/17633#discussion_r115639777
--- Diff:
sql/hive/src/main/scala/org/apache/spark/sql/hive/client/HiveShim.scala ---
@@ -589,18 +590,39 @@ private[client] class Shim_v0_13 extends
Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/17929
**[Test build #76718 has
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