Github user andrewor14 commented on the pull request:
https://github.com/apache/spark/pull/12589#issuecomment-214584300
it'll be there later
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Github user felixcheung commented on the pull request:
https://github.com/apache/spark/pull/12589#issuecomment-214558058
should this go to pyspark and sparkR shell as well?
or rather, should SparkSession be in Python and R first?
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Github user asfgit closed the pull request at:
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Github user rxin commented on the pull request:
https://github.com/apache/spark/pull/12589#issuecomment-214550450
Thanks - merging in master.
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Github user yhuai commented on a diff in the pull request:
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--- Diff:
repl/scala-2.10/src/main/scala/org/apache/spark/repl/SparkILoop.scala ---
@@ -1026,21 +1025,7 @@ class SparkILoop(
}
Github user andrewor14 commented on a diff in the pull request:
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--- Diff:
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@@ -1026,21 +1025,7 @@ class SparkILoop(
}
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Github user rxin commented on the pull request:
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LGTM - let's see if we run into issues in the future with this.
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Github user andrewor14 commented on the pull request:
https://github.com/apache/spark/pull/12589#issuecomment-213204032
I don't see any problems off the top of my head. The only collision is when
people do `import org.apache.spark`, but who does that?
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Github user marmbrus commented on the pull request:
https://github.com/apache/spark/pull/12589#issuecomment-213184305
Yeah, if there are problems we don't have to do that, but `val df =
spark.read.json(...)` is pretty nice
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Github user andrewor14 commented on the pull request:
https://github.com/apache/spark/pull/12589#issuecomment-213167788
OK, I like spark better too. Let's try it out.
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Github user rxin commented on the pull request:
https://github.com/apache/spark/pull/12589#issuecomment-213167723
I think there was a suggestion from @marmbrus to just name this "spark".
Would it cause any problems because it conflicts with the package name?
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GitHub user andrewor14 opened a pull request:
https://github.com/apache/spark/pull/12589
[SPARK-14828][SQL] Start SparkSession in REPL instead of SQLContext
## What changes were proposed in this pull request?
```
Spark context available as sc (master = local[*], app id
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