[SPARK-17919] Make timeout to RBackend configurable in SparkR

• Type: Story
• Status: Resolved
• Priority: Major
• Resolution: Fixed
• Affects Version/s: 2.0.1
• Fix Version/s: 2.1.0
• Component/s: SparkR
• Assignee: Hossein Falaki
• Reporter: Hossein Falaki
• Created: 13/Oct/16 18:57
• Updated: 30/Oct/16 23:18
• Resolved: 30/Oct/16 23:17

Description

I am working on a project where gapply() is being used with a large dataset that happens to be extremely skewed. On that skewed partition, the user function takes more than 2 hours to return and that turns out to be larger than the timeout that we hardcode in SparkR for backend connection.

connectBackend <- function(hostname, port, timeout = 6000) 

Ideally user should be able to reconfigure Spark and increase the timeout. It should be a small fix.

Issue Links

• is duplicated by: SPARK-12609 Make R to JVM timeout configurable
• links to: [Github] Pull Request #15471 (falaki)