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@srowen @rxin
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--- Diff: docs/programming-guide.md ---
@@ -1099,6 +1099,9 @@ for details.
+Spark RDD API also exposes asynchronous versions of some acti
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@lianhuiwang I left a few smallish comments. Overall LGTM.
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@liancheng please find some time to review the latest updates, thanks!
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GitHub user wesolowskim opened a pull request:
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SPARK-16478 graphX (added graph caching in strongly connected components)
## What changes were proposed in this pull request?
I added caching in every iteration for sccGraph that is ret
Github user phalodi commented on the issue:
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@srowen Thanks man i know i am not giving correct language but my intention
is also same i hope its final commit :) if its done can you merge it.
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Can one of the admins verify this patch?
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Github user srowen commented on a diff in the pull request:
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--- Diff: docs/programming-guide.md ---
@@ -1099,6 +1099,9 @@ for details.
+The Spark RDD API also exposes asynchronous versions of some
Github user hvanhovell commented on a diff in the pull request:
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--- Diff:
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@@ -0,0 +1,148 @@
+/*
+ * Licensed
Github user hvanhovell commented on a diff in the pull request:
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@@ -0,0 +1,148 @@
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Github user srowen commented on the issue:
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You have introduced a new problem though -- you're not unpersisting the
RDDs you cache, and, you're doing a needless count (minor). Of course it's
faster to operate on the final RDD at the end: you d
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--- Diff: sql/core/src/main/scala/org/apache/spark/sql/functions.scala ---
@@ -536,6 +536,25 @@ object functions {
def min(columnName: String): Colu
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--- Diff:
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@@ -0,0 +1,148 @@
+/*
+ * License
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Github user phalodi commented on the issue:
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@srowen I put back-tick-quote for foreach, foreachAsync and FutureAction.
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Since both @shivaram and @felixcheung signed this off, I'm merging this to
master and branch-2.0.
Thanks @keypointt for working on this and @shivaram and @felixcheung for
the review!
--
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def min(columnName: String): Col
Github user srowen commented on the issue:
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Shouldn't truncate function like overwrite in instances where the
distinction doesn't matter -- rather than be ignored?
I think the point of the issue was that DROP/CREATE _isn't_ the best
s
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// in
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+ * Licensed to the Apache So
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@srowen Below is final screen shot as you suggested i hope its looks good
please review it and merge it.
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Github user hvanhovell commented on the issue:
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A more performant way of this would be to plan this using a combination of
count grouped by the percentile key, this percentile function. I am not sure if
we should pursue that for this PR.
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Github user wesolowskim commented on the issue:
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Let me introduce some data first:
1. SCC run computed on randomly generated graph just like one provided by
me on databrics notebook takes about 120s
2. When doing sccGraph.vertices.count
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@hvanhovell I have addressed your comments. Thanks. If I missed something,
please tell me.
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test this please
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add to whitelist
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Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/14119
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Github user SparkQA commented on the issue:
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Github user liancheng commented on the issue:
https://github.com/apache/spark/pull/14119
Since you've added `JavaSparkSqlExample.scala`, we can remove
`JavaSparkSQL.scala` now. (I guess that file was from my original WIP branch?)
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Github user liancheng commented on a diff in the pull request:
https://github.com/apache/spark/pull/14119#discussion_r70256850
--- Diff:
examples/src/main/java/org/apache/spark/examples/sql/JavaSqlDataSourceExample.java
---
@@ -0,0 +1,192 @@
+package org.apache.spark.examples.
Github user liancheng commented on a diff in the pull request:
https://github.com/apache/spark/pull/14119#discussion_r70257720
--- Diff:
examples/src/main/scala/org/apache/spark/examples/sql/SparkSqlExample.scala ---
@@ -0,0 +1,201 @@
+/*
+ * Licensed to the Apache Software
Github user srowen commented on the issue:
https://github.com/apache/spark/pull/14135
This doesn't actually show use of the API other than calling it. I honestly
don't think this is something worth much more mention.
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Github user tgravescs commented on the issue:
https://github.com/apache/spark/pull/14088
ah, thanks @vanzin for the reminder. @sharkdtu could you add a small unit
test for this.
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Github user liancheng commented on a diff in the pull request:
https://github.com/apache/spark/pull/14119#discussion_r70261011
--- Diff:
examples/src/main/java/org/apache/spark/examples/sql/JavaSparkSqlExample.java
---
@@ -0,0 +1,280 @@
+/*
+ * Licensed to the Apache Softw
Github user liancheng commented on a diff in the pull request:
https://github.com/apache/spark/pull/14119#discussion_r70262964
--- Diff: docs/sql-programming-guide.md ---
@@ -732,62 +452,7 @@ a `Dataset` can be created programmatically with
three steps.
by `SparkSession`.
Github user liancheng commented on a diff in the pull request:
https://github.com/apache/spark/pull/14119#discussion_r70262914
--- Diff: docs/sql-programming-guide.md ---
@@ -679,43 +435,7 @@ a `DataFrame` can be created programmatically with
three steps.
by `SparkSession`.
Github user liancheng commented on a diff in the pull request:
https://github.com/apache/spark/pull/14119#discussion_r70263511
--- Diff:
examples/src/main/java/org/apache/spark/examples/sql/JavaSparkSqlExample.java
---
@@ -0,0 +1,280 @@
+/*
+ * Licensed to the Apache Softw
Github user liancheng commented on a diff in the pull request:
https://github.com/apache/spark/pull/14119#discussion_r70263602
--- Diff:
examples/src/main/java/org/apache/spark/examples/sql/JavaSparkSqlExample.java
---
@@ -0,0 +1,280 @@
+/*
+ * Licensed to the Apache Softw
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