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Github user actuaryzhang commented on the issue:
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@srowen @jkbradley @felixcheung @sethah @yanboliang
One question is: is it better to move the `HasStringOrderType` trait to the
shared params? This is only used by StringIndexer and
GitHub user actuaryzhang opened a pull request:
https://github.com/apache/spark/pull/17005
[SPARK-14659][ML] RFormula supports setting base level both by frequency
and alphabetically
## What changes were proposed in this pull request?
Current RFormula drops the least frequent
Github user hhbyyh commented on the issue:
https://github.com/apache/spark/pull/17000
Hi @ZunwenYou Do you know what's the reason that treeAggregate failed when
feature dimension reach 20 million?
I think this potentially can help with the 2G disk shuffle spill limit. (to
be
Github user gatorsmile commented on a diff in the pull request:
https://github.com/apache/spark/pull/16910#discussion_r102077850
--- Diff:
sql/hive/src/main/scala/org/apache/spark/sql/hive/execution/HiveTableScanExec.scala
---
@@ -139,6 +140,13 @@ case class HiveTableScanExec(
Github user gatorsmile commented on a diff in the pull request:
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--- Diff:
sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveDDLSuite.scala
---
@@ -1494,4 +1495,149 @@ class HiveDDLSuite
}
Github user gatorsmile commented on a diff in the pull request:
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--- Diff:
sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveDDLSuite.scala
---
@@ -1494,4 +1495,149 @@ class HiveDDLSuite
}
Github user gatorsmile commented on a diff in the pull request:
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--- Diff:
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---
@@ -1494,4 +1495,149 @@ class HiveDDLSuite
}
Github user gatorsmile commented on a diff in the pull request:
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--- Diff:
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---
@@ -1494,4 +1495,149 @@ class HiveDDLSuite
}
Github user erenavsarogullari commented on the issue:
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Hi @markhamstra,
Do you have chance to review this PR and my latest comment?
Thanks in advance ;)
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Github user gatorsmile commented on the issue:
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Why we need to overwrite its original value? I thought we will not use that
value any more.
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Github user gatorsmile commented on the issue:
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In your PR title, `verwrite ` -> `overwrite `
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--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/internal/SharedState.scala ---
@@ -61,6 +62,12 @@ private[sql] class SharedState(val
Github user gatorsmile commented on the issue:
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> Another issue is we actually don't need the additional constraints at
most of time. For example, if there is a constraint "a > b", and "a" is aliased
to "c" and "d". When we use this
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Github user hhbyyh commented on the issue:
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@jkbradley Sent an update to refine the transform code and address the
comments.
Regarding to the behavior changing concern, I think different partition
strategy will only affect the
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LGTM
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Github user rxin commented on a diff in the pull request:
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--- Diff: sql/core/src/main/scala/org/apache/spark/sql/SparkSession.scala
---
@@ -95,16 +95,26 @@ class SparkSession private(
/**
* State
Github user MLnick commented on the issue:
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Just to be clear - this is essentially just splitting an array up into
smaller chunks so that overall communication is more efficient? It would be
good to look at why Spark is not doing a good job
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--- Diff: sql/core/src/main/scala/org/apache/spark/sql/SparkSession.scala
---
@@ -95,16 +95,26 @@ class SparkSession private(
/**
* State
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[SPARK-19670] [SQL] [TEST] Enable Bucketed Table Reading and Writing
Testing Without Hive Support
### What changes were proposed in this pull request?
Bucketed table reading and writing
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Github user dding3 commented on a diff in the pull request:
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--- Diff: docs/graphx-programming-guide.md ---
@@ -708,7 +708,9 @@ messages remaining.
> messaging function. These constraints allow additional
Github user gatorsmile commented on the issue:
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retest this please
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[SPARK-19646][BUILD][HOTFIX] Fix compile error from cherry-pick of
SPARK-19646 into branch 2.1
## What changes were proposed in this pull request?
Fix compile error from cherry-pick of
Github user dding3 commented on a diff in the pull request:
https://github.com/apache/spark/pull/15125#discussion_r102065803
--- Diff: graphx/src/main/scala/org/apache/spark/graphx/Pregel.scala ---
@@ -154,7 +169,9 @@ object Pregel extends Logging {
// count the
Github user Yunni commented on a diff in the pull request:
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--- Diff: mllib/src/main/scala/org/apache/spark/ml/feature/LSH.scala ---
@@ -147,6 +148,15 @@ private[ml] abstract class LSHModel[T <: LSHModel[T]]
Github user maropu commented on the issue:
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@HyukjinKwon The current patch has a bit different behaviour between csv
and json cases when `_corrupt_record` has types other than `StringType`; in
json cases, it hits `requirement failed` and, in
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[SPARK-19669][SQL] Open up visibility for sharedState, sessionState, and a
few other functions
## What changes were proposed in this pull request?
To ease debugging, most of Spark SQL internals
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Oops, pick was clean into 2.1 but it actually resulted in an error:
Github user srowen commented on the issue:
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Merged to master/2.1/2.0 as it's a reasonably important bug
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Thanks! Merging to master.
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Github user mallman commented on the issue:
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@dding3, thank you for your continued patience and dedication to this PR,
despite the continued change requests. We are getting closer to a merge.
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--- Diff: docs/graphx-programming-guide.md ---
@@ -708,7 +708,9 @@ messages remaining.
> messaging function. These constraints allow additional
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--- Diff: docs/graphx-programming-guide.md ---
@@ -708,7 +708,9 @@ messages remaining.
> messaging function. These constraints allow additional
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--- Diff: graphx/src/main/scala/org/apache/spark/graphx/Pregel.scala ---
@@ -154,7 +169,9 @@ object Pregel extends Logging {
// count the
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@gatorsmile Thanks for your comments! I will update the code.
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GitHub user windpiger opened a pull request:
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[SPARK-19667][SQL][WIP]create table with hiveenabled in default database se
warehouse path instead of the location of default database
## What changes were proposed in this pull request?
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Can one of the admins verify this patch?
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GitHub user ZunwenYou opened a pull request:
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[SPARK-18946][ML] sliceAggregate which is a new aggregate operator for
high-dimensional data
In many machine learning cases, driver has to aggregate high-dimensional
vectors/arrays from
Github user lw-lin commented on the issue:
https://github.com/apache/spark/pull/16987
@marmbrus @zsxwing would you take a look at this? thanks!
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--- Diff:
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Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/16998
Merged build finished. Test FAILed.
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Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/16998
**[Test build #73163 has
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/73163/testReport)**
for PR 16998 at commit
Github user HyukjinKwon commented on the issue:
https://github.com/apache/spark/pull/16995
@lxsmnv, could you check if this is a more general problem? I suspect it is
not a CSV specific issue.
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