Github user mridulm commented on the issue:
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To clarify, we can look at changing the behavior (if required) in future -
but that should be an explicit design choice informed by hadoop committer
design. Until then, we should look to
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@HyukjinKwon My intention was to preserve earlier behavior.
Particularly for non-path based committer's, the `path` variable and its
use/processing is not relevant, it makes more sense to ignore
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thanks, merging to master!
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Cloud you help review this? @vanzin Thanks.
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--- Diff: core/src/main/scala/org/apache/spark/rdd/PairRDDFunctions.scala
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@@ -23,21 +23,53 @@ import
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@@ -19,6 +19,7 @@ package org.apache.spark.sql.hive.orc
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@@ -255,10 +256,7 @@ private[orc] class OrcOutputWriter(
}
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ping @cloud-fan
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Grouped UDFs, or Grouped Vectorized UDFs.
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How to name it? Group-By vectorized UDFs?
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@@ -180,6 +180,56 @@ class PairRDDFunctions[K, V](self: RDD[(K, V)])
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@@ -89,6 +95,24 @@ class JacksonParser(
/**
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Github user ueshin commented on the issue:
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I'm +0 for now.
I'm just wondering whether we can support struct types in vectorized UDF
when needed in the future.
As for adding pandas UDAF, I think we need another decorator or
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ok to test
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--- Diff: sql/core/src/test/scala/org/apache/spark/sql/QueryTest.scala ---
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--- Diff:
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---
@@ -0,0 +1,43 @@
+/*
+ * Licensed to the Apache
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@@ -0,0 +1,61 @@
+/*
+ * Licensed to the Apache
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package org.apache.spark.sql
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import
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LGTM too but let me leave it to @ueshin just in case.
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.. versionadded:: 1.3
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Create myspark
## What changes were proposed in this pull request?
(Please fill in changes proposed in this fix)
## How was this patch tested?
(Please explain how this
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Thanks @HyukjinKwon @cloud-fan
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LGTM
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https://github.com/apache/spark/pull/19502#discussion_r144745832
--- Diff:
sql/hive/src/main/scala/org/apache/spark/sql/hive/orc/OrcOptions.scala ---
@@ -42,7 +44,7 @@ private[orc] class OrcOptions(
val
Github user ArtRand commented on the issue:
https://github.com/apache/spark/pull/18784
@jiangxb1987 yes. I'll work to review this ASAP.
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Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/19363
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Github user gatorsmile commented on a diff in the pull request:
https://github.com/apache/spark/pull/19502#discussion_r144745102
--- Diff:
sql/hive/src/main/scala/org/apache/spark/sql/hive/orc/OrcOptions.scala ---
@@ -42,7 +44,7 @@ private[orc] class OrcOptions(
val
Github user jiangxb1987 commented on a diff in the pull request:
https://github.com/apache/spark/pull/19464#discussion_r144745063
--- Diff:
core/src/main/scala/org/apache/spark/internal/config/package.scala ---
@@ -270,6 +270,12 @@ package object config {
.longConf
Github user jiangxb1987 commented on a diff in the pull request:
https://github.com/apache/spark/pull/19464#discussion_r144745022
--- Diff:
core/src/main/scala/org/apache/spark/internal/config/package.scala ---
@@ -270,6 +270,12 @@ package object config {
.longConf
Github user dahaian commented on the issue:
https://github.com/apache/spark/pull/16964
@zzcclp@srowen I have the same error. In
JavaConsumerStrategySuite.java,error is as follows:
The method mapValues(Function1) is ambiguous for the type
Map
Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/19502
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Github user dongjoon-hyun commented on the issue:
https://github.com/apache/spark/pull/19502
Thank you, @HyukjinKwon !
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