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@@ -19,7 +19,9 @@ package org.apache.spark.repl
import
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import
GitHub user jinxing64 opened a pull request:
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[SPARK-21916][SQL] Set isolationOn=true when create hive client for
metadata.
## What changes were proposed in this pull request?
In current code, we set `isolationOn=!isCliSession()`
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@@ -200,7 +202,7 @@ class SourceProgress protected[sql](
*/
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GitHub user marktab opened a pull request:
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Model 1 and Model 2 ParamMaps Missing
The original Scala code says
println("Model 2 was fit using parameters: " +
model2.parent.extractParamMap)
The parent is lr
There is no
Github user jerryshao commented on the issue:
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UGI is only used for security, normally it is used for Spark application to
communicate with Hadoop using correct user.
doAs already wraps the whole `CoarseGrainedExecutorBackend`
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@jerryshao
1. I didn't meet any problems, these codes are ok to run even if it is
unnecessary.
2. In Standalone mode, if collaborating with a secured hdfs, we might
haven't support yet.
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Can you please elaborate the problem you met, did you meet any unexpected
behavior?
The changes here get rid of env variable "SPARK_USER", this might be OK for
yarn application, but what
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+1 @jkbradley For now it is better to keep the current implementation for
the 4 meta-algo in pyspark.
@yinxusen Would you mind to close this PR ? But I still appreciate your
contribution
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@@ -169,6 +171,16 @@ class OrcFileFormat extends FileFormat
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@@ -169,6 +171,16 @@ class OrcFileFormat extends FileFormat
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[SPARK-21913][SQL][TEST] `withDatabase` should drop database with CASCADE
## What changes were proposed in this pull request?
Currently, `withDatabase` fails if the database is not
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Hi, @gatorsmile .
Could you trigger Maven build, too?
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LGTM, merging to master/2.2. Thanks for picking this up!
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[SPARK-21912][SQL] Creating ORC datasource table should check invalid
column names
## What changes were proposed in this pull request?
Currently, users meet job abortions while
Github user tejasapatil commented on a diff in the pull request:
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--- Diff:
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---
@@ -152,3 +152,71 @@ object EliminateOuterJoin extends
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--- Diff:
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@@ -100,31 +113,53 @@ class CrossValidator @Since("1.2.0")
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Github user markhamstra commented on the issue:
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And now I see that the title was changed to something more useful. Pardon
any offense, the end result of the title changes look good.
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Github user markhamstra commented on the issue:
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I realize this PR is now closed, but to follow-up on Saisai's request
concerning PR titles, I'll also note that the title of this PR isn't very
useful even after the JIRA id and component tag
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@gatorsmile : Yes. Hive is not 100% atomic as stuff can go wrong between
removing old data and renaming staging location. But its superior in these
regards:
- Hive would output "no
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+ @shivaram could you do a quick review? given this change I'd love to get
some feedback
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Yes, the issue is with random sampling, and this PR should fix all of these.
I'm not sure why I haven't seen them much before - they have been around
for years - appreciate bringing these
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[SPARK-21418][SQL] NoSuchElementException: None.get in DataSourceScanExec
with sun.io.serialization.extendedDebugInfo=true
## What changes were proposed in this pull request?
If no
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cc @yanboliang Thanks!
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--- Diff: python/pyspark/ml/tuning.py ---
@@ -255,18 +257,23 @@ def _fit(self, dataset):
randCol = self.uid + "_rand"
df =
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[SPARK-21911][ML][PySpark] Parallel Model Evaluation for ML Tuning in
PySpark
## What changes were proposed in this pull request?
Add parallelism support for ML tuning in pyspark.
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retest this please
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With 2.7G data, I ran a simple Java problem with 2.5.4 and 2.2.1 with
`CsvParser`, and simple e2e read tests. Elapsed time diff was roughly -1.7% ~
+1.2%. I think virtually no diff (or 0.5
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Github user maropu commented on the issue:
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@gatorsmile I think a bit more about this issue and I propose another
approach; how about just moving `output` into `QueryPlanConstraints` and
`output` always considering NULL constraints in its own
Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/19116
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