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--- Diff:
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GitHub user davies opened a pull request:
https://github.com/apache/spark/pull/9510
[SPARK-11542] [SPARKR] fix glm with long fomular
Because deparse() will break the long string into multiple lines, the
deserialization will fail
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https://github.com/apache/spark/pull/9408#discussion_r44084011
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/DataFrameWriter.scala ---
@@ -167,17 +167,38 @@ final class DataFrameWriter private[sql](df:
DataFrame)
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cc @ericl
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--- Diff:
streaming/src/main/scala/org/apache/spark/streaming/util/BatchedWriteAheadLog.scala
---
@@ -0,0 +1,212 @@
+/*
+ * Licensed to the Apache
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--- Diff: python/pyspark/sql/dataframe.py ---
@@ -422,6 +422,49 @@ def repartition(self, numPartitions):
"""
return
Github user zsxwing commented on the pull request:
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I renamed `spark.shuffle.*` configurations to `spark.network.*` and added a
`ShuffleConfigProvider` to convert them.
Now the strategy is as follows:
1.
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[SPARK-11541][SQL] Break JdbcDialects.scala into multiple files and mark
various dialects as private.
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--- Diff:
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@@ -0,0 +1,212 @@
+/*
+ * Licensed to the Apache
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+/*
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Github user rxin commented on the pull request:
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cc @mateiz too - take a look if you have 5 mins.
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Github user vanzin commented on the pull request:
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This looks very complicated and error prone. Why not have `TransportConf`
take a `module` parameter:
TransportConf(String module, ConfigProvider ...)
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Github user tdas commented on the pull request:
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Overall there are a few majors suggestions.
- To test for the timer stuff in `KinesisCheckpointer`, its best to
refactor `KinesisCheckpointer` to use
Github user asfgit closed the pull request at:
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--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/DateTimeUtils.scala
---
@@ -393,28 +393,35 @@ object DateTimeUtils {
}
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@@ -393,28 +393,35 @@ object DateTimeUtils {
}
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--- Diff:
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@@ -0,0 +1,117 @@
+/*
+ * Licensed to the
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--- Diff:
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+/*
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--- Diff:
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@@ -0,0 +1,212 @@
+/*
+ * Licensed to the
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@@ -0,0 +1,212 @@
+/*
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--- Diff:
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@@ -216,6 +226,25 @@ private[kinesis] class
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+/*
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+/*
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--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/complexTypeExtractors.scala
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@@ -227,6 +227,38 @@ case class
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--- Diff:
extras/kinesis-asl/src/main/scala/org/apache/spark/streaming/kinesis/KinesisCheckpointer.scala
---
@@ -0,0 +1,117 @@
+/*
+ * Licensed to the
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Github user jaceklaskowski commented on the pull request:
https://github.com/apache/spark/pull/9501#issuecomment-154199308
Thanks @srowen for reviewing the changes. They indeed are small since
they're the outcome of me going through the code and learning Spark this way.
When I run
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GitHub user nongli opened a pull request:
https://github.com/apache/spark/pull/9504
[SPARK-11410] [PYSPARK] Add python bindings for repartition and sortWâ¦
â¦ithinPartitions.
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$ git pull
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GitHub user kashif opened a pull request:
https://github.com/apache/spark/pull/9506
[SPARK-11508] [Python] Python API for repartition and sortWithinPartitions
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Github user marmbrus commented on the pull request:
https://github.com/apache/spark/pull/9503#issuecomment-154202749
Tested this locally and other than needing to set `DOCKER_IP` everything
worked great. Talked ot @JoshRosen offline and he's going to try and automate
this.
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Github user rxin commented on the pull request:
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@nongli
you can run the python test locally by python/run-tests --module
pyspark-sql (take a look at -h to see the exact command)
before you run that, you
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Can one of the admins verify this patch?
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https://github.com/apache/spark/pull/8984#issuecomment-154218023
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Github user shivaram commented on the pull request:
https://github.com/apache/spark/pull/9443#issuecomment-154217840
LGTM. Thanks @adrian555
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Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/9397#issuecomment-154217813
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Github user AmplabJenkins commented on the pull request:
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Github user shivaram commented on the pull request:
https://github.com/apache/spark/pull/9099#issuecomment-154218849
@sun-rui Could you take one more look at this ? My idea is to just get a
fix for the performance issue in this PR and not change any behavior (for
better or for
Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/8984#issuecomment-154218896
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