GitHub user tdas opened a pull request:
https://github.com/apache/spark/pull/17954
[SPARK-20714] [SS] Fix match error when watermark is set with timeout = no
timeout / processing timeout
## What changes were proposed in this pull request?
When watermark is set, and timeout
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Github user gatorsmile commented on the issue:
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@zero323 Could you also document SQL interface for creating bucket and
partition tables in this PR?
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Github user vanzin commented on the issue:
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Test failure is because of SPARK-20666. All core tests passed.
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Github user dongjoon-hyun commented on the issue:
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Retest this please.
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Github user dongjoon-hyun commented on the issue:
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Hi, @cloud-fan and @viirya .
Could you review new ORC data source (without ColumnarBatch part) again?
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Github user vundela commented on the issue:
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ping @holdenk, checking if you have some time to review this.
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Github user ghoto commented on the issue:
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I think I need sometime to run benchmarks. Originally the driver was set to
3GB, but since I was having this OutOfMemory in the driver I decided to give a
try and increase the size.
For other
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Github user ajbozarth commented on the issue:
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This seems to have been fixed in a later version of sorttable.js
(https://github.com/stuartlangridge/sorttable/pull/9). If you could use that
implementation instead I'd prefer the simpler change.
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Need to fix line in the test because it's too long.
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Github user srowen commented on the issue:
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Hm, that sounds like a whole lot more memory being used than I'd imagine.
How are you running the driver, and is it certainly the driver that runs out of
memory? do you have timings for local vs dist
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Github user zero323 commented on a diff in the pull request:
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--- Diff: docs/sql-programming-guide.md ---
@@ -581,6 +581,46 @@ Starting from Spark 2.1, persistent datasource tables
have per-partition metadat
Github user shivaram commented on the issue:
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Ah that is a bummer. Lets hold off on that and use a new JIRA to discuss
it. Rest of the changes LGTM pending jenkins, appveyor
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Github user felixcheung commented on the issue:
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bummer, no one can install on windows then
```
Downloading GitHub repo felixcheung/spark@rchangesforpackage
from URL
https://api.github.com/repos/felixcheung/spark/zipball/rchangesfor
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Github user felixcheung commented on the issue:
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checked vignettes
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Github user shivaram commented on the issue:
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Can you also retest with devtools after the fix ?
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I think its a lowercase `t`
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Github user asfgit closed the pull request at:
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Github user zsxwing commented on a diff in the pull request:
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--- Diff: core/src/main/scala/org/apache/spark/scheduler/Task.scala ---
@@ -115,26 +115,33 @@ private[spark] abstract class Task[T](
case t: T
Github user gatorsmile commented on the issue:
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Thanks! Merging to master.
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Github user gatorsmile commented on the issue:
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nvm. I will fix it later. Thanks!
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Github user zsxwing commented on a diff in the pull request:
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--- Diff: core/src/main/scala/org/apache/spark/util/taskListeners.scala ---
@@ -55,14 +55,16 @@ class TaskCompletionListenerException(
extends Runtime
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LGTM
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LGTM cc @cloud-fan
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hmm, I'm getting a warning? from R CMD check
```
Unknown, possibly mis-spelled, fields in DESCRIPTION:
âOS_Typeâ
```
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--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/regexpExpressions.scala
---
@@ -144,7 +151,31 @@ case class Like(left: E
Github user erenavsarogullari commented on the issue:
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Hi @HyukjinKwon, thanks to follow this PR. I am busy for a while.
Implementation is done and just last comments need to be addressed.
I will address them as well asap. Thanks ;)
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--- Diff:
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@@ -231,6 +231,19 @@ class MathFunctionsSuite extends QueryTest with
Github user tejasapatil commented on a diff in the pull request:
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--- Diff: docs/sql-programming-guide.md ---
@@ -581,6 +581,46 @@ Starting from Spark 2.1, persistent datasource tables
have per-partition metadat
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LGTM. Merging to master and 2.2. Thanks!
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Yeah. This is a right fix. I checked Hive and it behaves the same.
```
hive> SELECT round(3.1415925, 7), round(3.1415925, 8), round(3.1415925, 9),
round(3.1415925, 10), round(3.14159
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tested devtools install on Windows (even with OS_type unix)
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CC @hhbyyh for https://github.com/apache/spark/pull/9520
Looks credible to me.
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Sorry about that. I added more context in the description and updated the
title.
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Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/17887
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Github user felixcheung commented on the issue:
https://github.com/apache/spark/pull/17945
yes, it's here
https://github.com/apache/spark/pull/17945/files#diff-56790892076daac0bc43a9b38c0b1470R51
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Github user ghoto commented on the issue:
https://github.com/apache/spark/pull/17907
With classic Spark PCA, approx. 55Kx15K matrix and 10GB in driver I go out
of memory. I chopped the matrix to be 55Kx3K and I can get the PCA. With the
SVD distributed approach I could compute PCA wit
Github user shivaram commented on the issue:
https://github.com/apache/spark/pull/17945
Actually one more thing to do is to change the vignettes to use 1 core as
well since they get rebuilt / checked during the CRAN check.
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Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/17945
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Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/17906
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Github user lalinsky commented on the issue:
https://github.com/apache/spark/pull/14582
To me this looked like a simple change that would make Spark better, but I
have closed the PR as requested.
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Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/17925
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Github user gatorsmile commented on the issue:
https://github.com/apache/spark/pull/17906
ok to test
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Github user gatorsmile commented on the issue:
https://github.com/apache/spark/pull/17928
Thanks! Merging to master.
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Github user gatorsmile commented on the issue:
https://github.com/apache/spark/pull/17711
LGTM pending minor comment.
We need to add an extra optimizer rule to combine the adjacent concatenate
expressions. Thanks!
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