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[SPARK-16215][SQL] Reduce runtime overhead of a program that writes an
primitive array in Dataframe/Dataset
## What changes were proposed in this pull request?
This PR optimize generate
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--- Diff:
mllib/src/main/scala/org/apache/spark/ml/tree/impl/GradientBoostedTrees.scala
---
@@ -205,31 +205,29 @@ private[spark] object
Github user gatorsmile commented on the issue:
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@cloud-fan Submitted a PR for converting CTAS in parquet to data source
tables without hive support. Could you also review that PR? Thanks!
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Github user gatorsmile commented on the issue:
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Just realized this PR introduced the original changes. Could you also
review my PR: https://github.com/apache/spark/pull/13907?
When users create table as query with `STORED AS` or `ROW
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Can one of the admins verify this patch?
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As the denominator is n, the iteration time should also be n
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GitHub user yanghaogn opened a pull request:
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make rdd count be n
## What changes were proposed in this pull request?
(Please fill in changes proposed in this fix)
## How was this patch tested?
(Please explain
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[SPARK-16213][SQL] Reduce runtime overhead of a program that creates an
primitive array in DataFrame
## What changes were proposed in this pull request?
This PR reduces runtime overhead of
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[SPARK-16212][STREAMING][KAFKA] code cleanup from review feedback
## What changes were proposed in this pull request?
code cleanup in kafka-0-8 to match suggested changes for kafka-0-10
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Github user Lewuathe commented on the issue:
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@vectorijk It seems difficult to handle this JIRA for me. Could you help me
with this?
Thanks so much for taking care!
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--- Diff: R/pkg/R/SQLContext.R ---
@@ -110,11 +110,46 @@ infer_type <- function(x) {
}
}
-getDefaultSqlSource <- function() {
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--- Diff: mllib/src/main/scala/org/apache/spark/mllib/util/MLUtils.scala ---
@@ -309,8 +309,8 @@ object MLUtils extends Logging {
}
/**
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Github user dongjoon-hyun commented on the issue:
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Hi, @rxin .
For this `OptimizeIn` PR, please let me know if we need further
optimization.
Thank you always.
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--- Diff:
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@@ -1053,6 +1055,34 @@ object PruneFilters extends
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[SPARK-16209] [SQL] Convert Hive Tables to Data Source Tables for CREATE
TABLE AS SELECT
What changes were proposed in this pull request?
Currently, the following created table is Hive
Github user rxin commented on a diff in the pull request:
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[SPARK-16208][SQL] Add `CollapseEmptyPlan` optimizer
## What changes were proposed in this pull request?
This PR adds a new logical optimizer, `CollapseEmptyPlan`, to collapse a
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Github user koeninger commented on the issue:
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Sorry for the delayed reply, I had travel plans that had to be canceled due
to a family emergency (everyone's mostly ok).
1 + 2, I understand that preferred locations is not a
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Jenkins, retest this please
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Github user kiszk commented on the issue:
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@hvanhovell and @cloud-fan This```GenericArrayData``` can be used in
generated code for a program with an primitive array written in DataFrame or
Dataset. I newly added Dataframe benchmark program
Github user dongjoon-hyun closed the pull request at:
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Github user kiszk commented on the issue:
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@andrewor14 Looks interesting.
I created two PRs that generate similar code like [your
code](https://gist.github.com/andrewor14/7ce4c37a3c6bcd5cc2b6b16c861859e9). My
PRs use current
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--- Diff: R/pkg/R/SQLContext.R ---
@@ -110,11 +110,46 @@ infer_type <- function(x) {
}
}
-getDefaultSqlSource <- function() {
+#'
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--- Diff:
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@@ -51,4 +51,35 @@ case class StructField(
("nullable"
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CREATE TABLE AS SELECT can be converted to Create Data Source Table when
the following condition is true: `the statement does not have the
user-specified file format and row format`. (Actually,
Github user dilipbiswal commented on the issue:
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Thanks a lot @hvanhovell @gatorsmile
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https://github.com/apache/spark/pull/13847
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Github user maropu commented on a diff in the pull request:
https://github.com/apache/spark/pull/13847#discussion_r68490096
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/MapData.scala ---
@@ -19,6 +19,10 @@ package org.apache.spark.sql.catalyst.util
Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/13680
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