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--- Diff:
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---
@@ -18,11 +18,14 @@
package org.apache.spark.sql.hive
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Github user rxin commented on the pull request:
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@rtreffer do you have time to update this?
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Github user adrian-wang commented on the pull request:
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@davies, if we use parallelize to do this, we have to generate the whole
seq in driver side, which could be a nightmare if the data size is huge...
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--- Diff: python/pyspark/sql/context.py ---
@@ -427,6 +428,31 @@ def func(iterator):
df = self._ssql_ctx.jsonRDD(jrdd.rdd(), scala_datatyp
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--- Diff: sql/core/src/main/scala/org/apache/spark/sql/SQLContext.scala ---
@@ -1126,6 +1126,57 @@ class SQLContext(@transient val sparkContext:
SparkCont
Github user viirya commented on the pull request:
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@mengxr Looks like adding `multiply(Vector)` can't pass binary
compatibility check. How should it do?
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Github user mateiz commented on the pull request:
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Alternatively you could also make them lighter and use dashed lines
(http://www.w3schools.com/svg/svg_stroking.asp), but I'm not sure how good that
will look.
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Github user mateiz commented on the pull request:
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A small note on the colors -- make them a grayscale version of the colors
used in the normal stages, because right now they're quite a bit darker. Just
take a picture of
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Could you add `range()` for RDD in Python? It could be something like this:
```
sc.parallelize(xrange(start, end, step), numPartition)
```
It will be more
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retest this please.
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lgtm
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--- Diff: python/pyspark/sql/context.py ---
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Github user viirya commented on the pull request:
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@mengxr I added the support for `SparseVector` on gemv (only with
`DenseMatrix`) in #6209. Also updated this PR to use it.
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--- Diff:
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GitHub user viirya opened a pull request:
https://github.com/apache/spark/pull/6209
[SPARK-7681][MLlib] Add SparseVector support for gemv with DenseMatrix
JIRA: https://issues.apache.org/jira/browse/SPARK-7681
You can merge this pull request into a Git repository by running:
$
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--- Diff:
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@@ -0,0 +1,74 @@
+/*
+ * Licensed to the Apache Software Foundation (
Github user asfgit closed the pull request at:
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I'm going to merge this. @marmbrus please take a look at this again. I will
address feedbacks in followup prs.
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--- Diff: python/pyspark/sql/context.py ---
@@ -21,6 +21,7 @@
if sys.version >= '3':
basestring = unicode = str
+long = int
--- En
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--- Diff: python/pyspark/sql/context.py ---
@@ -21,6 +21,7 @@
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basestring = unicode = str
+long = int
--- En
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--- Diff: sql/core/src/main/scala/org/apache/spark/sql/SQLContext.scala ---
@@ -1126,6 +1126,57 @@ class SQLContext(@transient val sparkContext:
SparkContext)
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}
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@@ -0,0 +1,144 @@
+/*
+ * Licensed to the Apache Software Foundation
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Can one of the admins verify this patch?
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[SPARK-6649] [SQL] Made double quotes denote identifiers
Jira link: https://issues.apache.org/jira/browse/SPARK-6649
After this change, the Spark SQL parser treats anything enclosed in
d
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@@ -143,6 +145,9 @@ private[sql] class SQLConf extends Serializable with
CatalystConf {
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// Read in the parq
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// The path can b
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Github user jkbradley commented on the pull request:
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@AiHe Can you please ping me on the JIRA with your username so I can
assign it to you?
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Github user asfgit closed the pull request at:
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Github user jkbradley commented on the pull request:
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LGTM merging into master and branch-1.4
Thanks!
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