Timeline for Scala RDD operation
Current License: CC BY-SA 3.0
5 events
| when toggle format | what | by | license | comment | |
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| May 3, 2020 at 8:55 | answer | added | Sourabh Bakliwal | timeline score: 0 | |
| Mar 23, 2017 at 19:30 | history | edited | Jaishree Rout | CC BY-SA 3.0 |
added 50 characters in body; added 15 characters in body
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| Mar 23, 2017 at 13:38 | comment | added | Pete |
You are better off reading into dataframe and computing from a dataframe, to take advantage of the Catalyst optimizer. val df = spark.read.format("csv").option("header", "true").csv("/my/file.csv")
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| Mar 22, 2017 at 22:23 | answer | added | KyBe | timeline score: 1 | |
| Mar 22, 2017 at 20:15 | history | asked | Jaishree Rout | CC BY-SA 3.0 |