GitHub user marmbrus opened a pull request:
https://github.com/apache/spark/pull/146
SPARK-1251 Support for optimizing and executing structured queries
This pull request adds support to Spark for working with structured data
using a simple SQL dialect, HiveQL and a Scala Query DSL
Github user marmbrus commented on the pull request:
https://github.com/apache/spark/pull/141#issuecomment-37679480
Changed to update.
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GitHub user marmbrus opened a pull request:
https://github.com/apache/spark/pull/142
Don't swallow all kryo errors, only those that indicate we are out of data.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/marmbrus/
GitHub user marmbrus opened a pull request:
https://github.com/apache/spark/pull/141
Fix serialization of MutablePair. Also provide an interface for easy
updating.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/marmbrus/spark
Github user marmbrus commented on a diff in the pull request:
https://github.com/apache/spark/pull/126#discussion_r10551528
--- Diff:
core/src/main/scala/org/apache/spark/util/TimeStampedWeakValueHashMap.scala ---
@@ -0,0 +1,112 @@
+/*
+ * Licensed to the Apache Software
Github user marmbrus commented on the pull request:
https://github.com/apache/spark/pull/126#issuecomment-37357590
Hey TD, I just glanced at this quickly, but I have two small suggestions
with the way you are using finalizers. First, errors in finalizers aren't
reported by t
