Github user mengxr commented on the pull request:
https://github.com/apache/spark/pull/13419
I will prefer refreshing the dataset every time a dataset is reloaded but
keeping existing ones unchanged.
~~~scala
val df1 = sqlContext.read.parquet(dir).cache()
df1.count()
Github user sameeragarwal commented on the pull request:
https://github.com/apache/spark/pull/13419
@dongjoon-hyun no reason; old habits. I'll fix this. Thanks! :)
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Github user dongjoon-hyun commented on the pull request:
https://github.com/apache/spark/pull/13419
Hi, @sameeragarwal .
Is there any reason to use `SQLContext` instead of `SparkSession` in this
PR?
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Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/13419
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Github user AmplabJenkins commented on the pull request:
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Merged build finished. Test FAILed.
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Github user SparkQA commented on the pull request:
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Github user dongjoon-hyun commented on a diff in the pull request:
https://github.com/apache/spark/pull/13419#discussion_r65251560
--- Diff:
sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetQuerySuite.scala
---
@@ -67,6 +67,28 @@ class
Github user dongjoon-hyun commented on a diff in the pull request:
https://github.com/apache/spark/pull/13419#discussion_r65251574
--- Diff:
sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetQuerySuite.scala
---
@@ -67,6 +67,28 @@ class
Github user sameeragarwal commented on the pull request:
https://github.com/apache/spark/pull/13419
@yhuai @mengxr what are your thoughts on this approach?
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GitHub user sameeragarwal opened a pull request:
https://github.com/apache/spark/pull/13419
[SPARK-15678][SQL] Drop cache on appends and overwrites
## What changes were proposed in this pull request?
SparkSQL currently doesn't drop caches if the underlying data is
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