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GitHub user gengliangwang opened a pull request:
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Revise rand comparison in BatchEvalPythonExecSuite
## What changes were proposed in this pull request?
Revise rand comparison in BatchEvalPythonExecSuite
In
Github user cloud-fan commented on a diff in the pull request:
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--- Diff: sql/core/src/test/resources/sql-tests/inputs/create.sql ---
@@ -0,0 +1,23 @@
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Github user HyukjinKwon commented on the issue:
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Thanks for asking @ueshin. Sounds OK to me too. I currently have some
pending review comments for minor nits. Let me finish mine within today.
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Github user rxin commented on a diff in the pull request:
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--- Diff: sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
---
@@ -2638,4 +2638,17 @@ class SQLQuerySuite extends QueryTest with
Github user dongjoon-hyun commented on a diff in the pull request:
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--- Diff: sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
---
@@ -2638,4 +2638,17 @@ class SQLQuerySuite extends QueryTest with
Github user cloud-fan commented on a diff in the pull request:
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--- Diff: sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
---
@@ -2638,4 +2638,17 @@ class SQLQuerySuite extends QueryTest with
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Github user dongjoon-hyun commented on the issue:
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Yep. It's totally internal officially.
What I meant with `performance issue` is 3rd party can still use it and
there might be a performance gap between `float` and `double`.
Github user viirya commented on a diff in the pull request:
https://github.com/apache/spark/pull/18559#discussion_r126071406
--- Diff: sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
---
@@ -2638,4 +2638,17 @@ class SQLQuerySuite extends QueryTest with
Github user ueshin commented on the issue:
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LGTM, pending Jenkins.
@HyukjinKwon, @holdenk, Do you have any other concerns?
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Github user koertkuipers commented on the issue:
https://github.com/apache/spark/pull/609
@ganeshm25 it seems to work in newer spark versions. i havent tried in
spark 1.4.2. however its still very tricky to get it right and i would prefer a
simpler solution.
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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/Dataset.scala ---
@@ -1007,6 +1007,10 @@ class Dataset[T] private[sql](
Github user dongjoon-hyun commented on a diff in the pull request:
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--- Diff: sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
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@@ -2638,4 +2638,17 @@ class SQLQuerySuite extends QueryTest with
Github user asfgit closed the pull request at:
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Github user ganeshm25 commented on the issue:
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@koertkuipers i am trying to do achieve running the multiple
driver-java-options with Spark 1.4.2 inside a bash script? is there a solution
you found for 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 jinxing64 commented on the issue:
https://github.com/apache/spark/pull/18388
We didn't change `spark.shuffle.io.numConnectionsPerPeer`. Our biggest
cluster has 6000 `NodeManager`s. There are 50 executors running on a same host
at the same time.
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Github user asfgit closed the pull request at:
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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 jinxing64 commented on the issue:
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@cloud-fan
To be honest, it's a little bit tricky to reject "open blocks" by closing
the connection. The following reconnection will surely have extra cost. In
current change we are relying
Github user ueshin commented on the issue:
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Jenkins, retest this please.
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Github user cloud-fan commented on the issue:
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`ColumnVector` is total internal in Spark 2.2, so there won't be 3rd party
Spark library issue.
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Github user ueshin commented on the issue:
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Thanks for reviewing! merging to master.
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Github user zsxwing commented on the issue:
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> there are 200K+ connections and 3.5M blocks(FileSegmentManagedBuffer)
being fetched.
Did you use a large `spark.shuffle.io.numConnectionsPerPeer`? If not, the
number of connections seems
Github user dongjoon-hyun commented on the issue:
https://github.com/apache/spark/pull/18557
BTW, thank you for swift reviews and feedbacks on my PR. :)
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Github user jinxing64 commented on the issue:
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Analyzing the heap dump, there are 200K+ connections and 3.5M
blocks(`FileSegmentManagedBuffer`) being fetched. Yes, flow control is a good
idea. But I still think it make much sense to control
Github user dongjoon-hyun commented on the issue:
https://github.com/apache/spark/pull/18557
I know that 'there is no usage of this API internally in Spark 2.2', but
it's only for 2.2.0.
My reason was any 3rd party Spark library cannot use `ColumnVector` for
`float` type in Spark
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Github user cloud-fan commented on the issue:
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retest this please
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Github user cloud-fan commented on the issue:
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I've changed the ticket type from `bug` to `improvement`, adding a new API
is not fixing a bug.
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Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/17633#discussion_r126068180
--- Diff:
sql/hive/src/main/scala/org/apache/spark/sql/hive/client/HiveShim.scala ---
@@ -589,18 +590,43 @@ private[client] class Shim_v0_13 extends
Github user kiszk commented on the issue:
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We have not seen any failure in test suites. And, [there is no usage of
this API](https://github.com/apache/spark/pull/17836#discussion_r114488839) in
Spark 2.2.
Does this missing cause any
Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/17633#discussion_r126067892
--- Diff:
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@@ -589,18 +590,43 @@ private[client] class Shim_v0_13 extends
Github user cloud-fan commented on the issue:
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LGTM, pending tests
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Github user HyukjinKwon commented on the issue:
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Thank you @cloud-fan!
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Github user cloud-fan commented on a diff in the pull request:
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--- Diff:
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@@ -589,18 +590,40 @@ private[client] class Shim_v0_13 extends
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Github user asfgit closed the pull request at:
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Github user facaiy commented on the issue:
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I'm not familiar with R, and use grep to search "OneVsRest" and get
nothing. Hence it seems that nothing is needed to do with R part.
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Github user facaiy commented on the issue:
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@SparkQA test again, please.
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Github user dongjoon-hyun commented on the issue:
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Hi, @kiszk .
I think this is a bug fix of `ColumnVector` as described in
[SPARK-20566](https://issues.apache.org/jira/browse/SPARK-20566).
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Github user cloud-fan commented on the issue:
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LGTM, merging to master!
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Github user cloud-fan commented on a diff in the pull request:
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--- Diff: mllib/src/main/scala/org/apache/spark/mllib/util/MLUtils.scala ---
@@ -102,6 +104,25 @@ object MLUtils extends Logging {
Github user viirya commented on the issue:
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LGTM
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Github user cloud-fan commented on a diff in the pull request:
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--- Diff:
sql/core/src/test/resources/sql-tests/results/string-functions.sql.out ---
@@ -30,20 +30,20 @@ abc
-- !query 3
EXPLAIN EXTENDED
Github user cloud-fan commented on the issue:
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LGTM pending jenkins, also cc @rxin
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Github user viirya commented on a diff in the pull request:
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--- Diff:
sql/core/src/test/resources/sql-tests/results/string-functions.sql.out ---
@@ -30,20 +30,20 @@ abc
-- !query 3
EXPLAIN EXTENDED
Github user viirya commented on a diff in the pull request:
https://github.com/apache/spark/pull/18559#discussion_r126066311
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/parser/AstBuilder.scala
---
@@ -751,15 +751,17 @@ class AstBuilder extends
GitHub user cloud-fan opened a pull request:
https://github.com/apache/spark/pull/18559
[SPARK-21335][SQL] support un-aliased subquery
## What changes were proposed in this pull request?
un-aliased subquery is supported by Spark SQL for a long time. Its semantic
was not
Github user cloud-fan commented on the issue:
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cc @rxin @viirya
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Github user kiszk commented on the issue:
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@dongjoon-hyun Is there any reason to backport this to previous versions?
This is because we had such [a
discussion](https://github.com/apache/spark/pull/17836#pullrequestreview-35957231).
Github user dongjoon-hyun commented on the issue:
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Hi, @cloud-fan .
This is the backport for #17836 .
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Github user jiangxb1987 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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cc @cloud-fan This removes the writeTime metrics.
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[SPARK-20703][SQL][FOLLOW-UP] Associate metrics with data writes onto
DataFrameWriter operations
## What changes were proposed in this pull request?
Remove time metrics since it seems no
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(simply rebased)
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Github user jinxing64 closed the pull request at:
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Github user viirya commented on a diff in the pull request:
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--- Diff:
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@@ -314,21 +339,40 @@ object FileFormatWriter
Github user jinxing64 commented on the issue:
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Sure, I will update the document soon.
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--- Diff:
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@@ -89,18 +93,14 @@ private[libsvm] class LibSVMFileFormat
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Github user zsxwing commented on the issue:
https://github.com/apache/spark/pull/18509
Thanks! Merging to master.
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Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/18556#discussion_r126051332
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/source/libsvm/LibSVMRelation.scala ---
@@ -89,18 +93,17 @@ private[libsvm] class LibSVMFileFormat
Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/18557
**[Test build #79306 has
started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/79306/testReport)**
for PR 18557 at commit
Github user facaiy commented on a diff in the pull request:
https://github.com/apache/spark/pull/18556#discussion_r126050849
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/source/libsvm/LibSVMRelation.scala ---
@@ -89,18 +93,17 @@ private[libsvm] class LibSVMFileFormat extends
GitHub user dongjoon-hyun opened a pull request:
https://github.com/apache/spark/pull/18557
[SPARK-20566][SQL][BRANCH-2.2] ColumnVector should support `appendFloats`
for array
## What changes were proposed in this pull request?
This PR aims to add a missing `appendFloats`
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