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Posted to issues@spark.apache.org by "Kazuaki Ishizaki (JIRA)" <ji...@apache.org> on 2016/06/26 04:00:40 UTC
[jira] [Created] (SPARK-16213) Reduce runtime overhead of a program
that creates an primitive array in DataFrame
Kazuaki Ishizaki created SPARK-16213:
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Summary: Reduce runtime overhead of a program that creates an primitive array in DataFrame
Key: SPARK-16213
URL: https://issues.apache.org/jira/browse/SPARK-16213
Project: Spark
Issue Type: Improvement
Components: SQL
Reporter: Kazuaki Ishizaki
Reduce runtime overhead of a program that creates an primitive array in DataFrame
When a program creates an array in DataFrame, the code generator creates boxing operations. If an array is for primitive type, there are some opportunities for optimizations in generated code to reduce runtime overhead.
Here is a simple example that has generated code with boxing operation
{code}
val df = sparkContext.parallelize(Seq(0.0d, 1.0d), 1).toDF
df.selectExpr("Array(value + 1.1d, value + 2.2d)").show
{code}
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