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--- Diff: python/pyspark/sql/catalog.py ---
@@ -181,6 +181,22 @@ def dropTempView(self, viewName):
"""
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--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/QueryExecution.scala ---
@@ -125,6 +124,9 @@ class QueryExecution(val sparkSession:
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--- Diff:
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@@ -380,6 +380,7 @@ class SparkSqlAstBuilder(conf: SQLConf)
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--- Diff:
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@@ -37,39 +37,14 @@ import
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--- Diff:
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@@ -94,6 +69,47 @@ private[sql] class SharedState(val sparkContext:
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--- Diff:
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@@ -0,0 +1,168 @@
+/*
+ * Licensed to the Apache
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Github user viirya commented on the issue:
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@gatorsmile Because `bUpper > 100 || aUpper <= 10 && aUpper > bUpper` is
actually `bUpper > 100 || (aUpper <= 10 && aUpper > bUpper)` due to operator
precedence.
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Github user cloud-fan commented on the issue:
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Is it possible to speed up the whole-stage-on case? We can create a new
physical operator `FilterOnSortedData` to isolate this special logic.
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Github user viirya commented on the issue:
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@cloud-fan If this direction is okay for you, I can investigate it further.
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Github user cloud-fan commented on the issue:
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LGTM, +1 on the suggestion of @gatorsmile to improve test coverage.
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I'm not familiar with this part, cc @davies
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Github user cloud-fan commented on the issue:
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If the filter condition is deterministic, I think this is a good
optimization, especially for bucketed(with SORT BY) table, cc @yhuai
@gatorsmile
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Github user cloud-fan commented on the issue:
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I noticed that `spark.sql.hive.convertMetastoreOrc` is false by default, so
this bug is not so critical.
And we may stop inferring file schema when reading ORC tables, for
performance
Github user zjffdu closed the pull request at:
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GitHub user zjffdu reopened a pull request:
https://github.com/apache/spark/pull/10307
[SPARK-12334][SQL][PYSPARK] Support read from multiple input paths for orc
file in DataFrameReader.orc
Beside the issue in spark api, also fix 2 minor issues in pyspark
* support
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Github user viirya commented on the issue:
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ping @hvanhovell @rxin Can you take a look again? Thanks!
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Github user HyukjinKwon commented on the issue:
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@holdenk Thanks you for cc'ing me. It looks okay to me as targeted but I
feel we need a sign-off.
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Github user viirya commented on the issue:
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ping @rxin @JoshRosen Can you review this? Thanks!
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Github user viirya commented on the issue:
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@holdenk @dusenberrymw @HyukjinKwon Thanks for review!
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Github user zhzhan commented on the issue:
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@mridulm You are right. This patch is mainly for the job that has multiple
stages, which is very common in production pipeline. As you mentioned, if there
is shuffle involved,
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Github user gatorsmile commented on the issue:
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Why the following case can pass?
```Scala
setTest(1,
bUpper > 100 ||
aUpper <= 10 &&
aUpper > bUpper,
bUpper > 100 ||
(aUpper <= 10 &&
Github user gatorsmile commented on the issue:
https://github.com/apache/spark/pull/15388
BTW, we need to add more mixed cases in the test cases when supporting
`And` and `Or`
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Github user jiangxb1987 commented on the issue:
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@hvanhovell nvm about the `catalog.getTable` issue, it turns out to be my
mistake. Sorry about that...
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Github user jiangxb1987 commented on a diff in the pull request:
https://github.com/apache/spark/pull/15319#discussion_r82515583
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/QueryPlan.scala
---
@@ -74,14 +74,26 @@ abstract class QueryPlan[PlanType <:
Github user sethah commented on the issue:
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Would you mind changing the title to reflect the actual change? Something
to indicate that you are adding weight column param to Python? Thanks!
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Github user sitalkedia commented on the issue:
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cc - @rxin
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Github user seyfe commented on a diff in the pull request:
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--- Diff: core/src/main/scala/org/apache/spark/util/AccumulatorV2.scala ---
@@ -444,7 +444,7 @@ class CollectionAccumulator[T] extends AccumulatorV2[T,
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Github user yhuai commented on a diff in the pull request:
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--- Diff:
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@@ -94,6 +69,47 @@ private[sql] class SharedState(val sparkContext:
Github user rxin commented on the issue:
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@cloud-fan / @gatorsmile
I left some comments on improving clarity. It's pretty important to the
maintenance of the project.
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Github user jacek-lewandowski commented on the issue:
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Closing, although I don't really understand the reason why it wasn't
accepted.
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Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/15292#discussion_r82524289
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/DataFrameReader.scala ---
@@ -229,13 +229,9 @@ class DataFrameReader private[sql](sparkSession:
Github user HyukjinKwon commented on the issue:
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retest this please
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Github user srowen commented on the issue:
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@bkpathak you can just close this and reopen. Although you can fix this
with git surgery and a force-push, sometimes it's not worth it if you can just
branch, patch the commit(s) you want to keep,
Github user HyukjinKwon commented on the issue:
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I ~guess~ the reason it wasn't accepted and reviewed due to the lack of man
power of committers or the lack of appealing or because it simply just got
stale. At least, I said +1 for this reason.
Github user vlad17 commented on the issue:
https://github.com/apache/spark/pull/14547
@setah do you have any opinion on "loss-based" vs. "auto" or @jkbradley do
you feel strongly about this? I think the trade-off is between being explicit
vs. possibly confusing the user. I prefer
GitHub user WeichenXu123 opened a pull request:
https://github.com/apache/spark/pull/15406
[Spark-17745][ml][PySpark] update NB python api
## What changes were proposed in this pull request?
update python api for NaiveBayes.
## How was this patch tested?
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Github user gatorsmile commented on the issue:
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LGTM
Forgot the precedence of `AND` is higher than `OR`.
BTW, also checked SQL. It follows the same precedence order. That is, `AND`
is higher than `OR`.
```
From
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--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/csv/CSVFileFormat.scala
---
@@ -57,22 +58,16 @@ class CSVFileFormat
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Github user wgtmac commented on the issue:
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@HyukjinKwon no problem. Take your time.
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Github user srowen commented on a diff in the pull request:
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--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala ---
@@ -757,7 +758,10 @@ private[sql] class SQLConf extends Serializable with
Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/15371#discussion_r82521001
--- Diff: project/MimaExcludes.scala ---
@@ -55,7 +55,11 @@ object MimaExcludes {
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--- Diff: core/src/main/scala/org/apache/spark/util/AccumulatorV2.scala ---
@@ -444,7 +444,7 @@ class CollectionAccumulator[T] extends AccumulatorV2[T,
GitHub user JonathanTaws opened a pull request:
https://github.com/apache/spark/pull/15405
[SPARK-15917][CORE] Added support for number of executors in Standalone
[WIP]
## What changes were proposed in this pull request?
Currently in standalone mode it is not possible to
Github user AmplabJenkins commented on the issue:
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Can one of the admins verify this patch?
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Github user HyukjinKwon commented on the issue:
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@wgtmac Sorry, I will try to make this complete this within this week. I
was busy for some reasons.
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Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/14745
**[Test build #66605 has
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GitHub user koeninger opened a pull request:
https://github.com/apache/spark/pull/15407
[SPARK-17841][STREAMING][KAFKA] drain commitQueue
## What changes were proposed in this pull request?
Actually drain commit queue rather than just iterating it
## How was
Github user dilipbiswal commented on the issue:
https://github.com/apache/spark/pull/15334
@gatorsmile Thanks .. I had absolutely no idea about this PR :-)
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Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/15371
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