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Github user techaddict commented on the issue:
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@srowen yes, the issue is still there.
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GitHub user techaddict reopened a pull request:
https://github.com/apache/spark/pull/13767
[MINOR][SQL] Not dropping all necessary tables
## What changes were proposed in this pull request?
was not dropping table `parquet_t3`
## How was this patch tested?
tested
Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/14948#discussion_r77435330
--- Diff:
mllib/src/test/scala/org/apache/spark/mllib/clustering/KMeansSuite.scala ---
@@ -75,7 +75,7 @@ class KMeansSuite extends SparkFunSuite with
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Github user srowen commented on the issue:
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@techaddict I missed this, is it still relevant?
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Github user asfgit closed the pull request at:
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Github user srowen commented on the issue:
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merged to master/2.0
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Github user srowen commented on the issue:
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Assuming my interpretation of the last comment was right, I think this is
good to go. Even if somehow it 'worked' before this is a cleaner implementation
of the same behavior in that case.
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Github user srowen commented on a diff in the pull request:
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--- Diff: python/pyspark/mllib/feature.py ---
@@ -276,24 +276,64 @@ class ChiSqSelector(object):
"""
Creates a ChiSquared feature selector.
Github user srowen commented on the issue:
https://github.com/apache/spark/pull/14924
LGTM. Seems like this should go into 2.0.x as well since it's really a bug
fix.
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Merged to master too
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Github user srowen commented on a diff in the pull request:
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--- Diff: core/src/main/scala/org/apache/spark/internal/Logging.scala ---
@@ -135,7 +135,8 @@ private[spark] trait Logging {
val replLevel =
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[SPARK-17389] [MLLIB] Significant KMeans speedup with better choice of init
steps, optimizing to remove 'runs'
## What changes were proposed in this pull request?
- Deprecate KMeans 'runs'
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Github user rustagi commented on the issue:
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I am seeing this issue quite frequently. Not sure what is causing it but
frequently we will get a onTaskEnd event after a stage has ended. This will
cause the numRunningTasks to become negative. If
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Some tests might be failed due to
https://github.com/apache/spark/pull/14919.
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GitHub user HyukjinKwon opened a pull request:
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[SPARK-17388][SQL] Support for inferring type date/timestamp/decimal for
partition column
## What changes were proposed in this pull request?
Currently, Spark only supports to infer
Github user gatorsmile commented on a diff in the pull request:
https://github.com/apache/spark/pull/14888#discussion_r77432512
--- Diff:
sql/hive/src/main/scala/org/apache/spark/sql/hive/client/HiveClientImpl.scala
---
@@ -613,21 +613,22 @@ private[hive] class HiveClientImpl(
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[SPARK-17353] [SPARK-16943] [SPARK-16942] [SPARK-16959] [BACKPORT-2.0]
[SQL] Fix multiple bugs in CREATE TABLE LIKE command
### What changes were proposed in this pull request?
This PR is
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@sameeragarwal Could you take another look please?
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