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Posted to issues@spark.apache.org by "Nicholas Chammas (JIRA)" <ji...@apache.org> on 2014/04/10 00:25:17 UTC
[jira] [Updated] (SPARK-1458) Add programmatic way to determine
Spark version
[ https://issues.apache.org/jira/browse/SPARK-1458?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Nicholas Chammas updated SPARK-1458:
------------------------------------
Description:
As discussed [here](http://apache-spark-user-list.1001560.n3.nabble.com/programmatic-way-to-tell-Spark-version-td1929.html), I think it would be nice if there was a way to programmatically determine what version of Spark you are running.
The potential use cases are not that important, but they include:
# Branching your code based on what version of Spark is running.
# Checking your version without having to quit and restart the Spark shell.
Right now in PySpark, I believe the only way to determine your version is by firing up the Spark shell and looking at the startup banner.
was:
As discussed [here|http://apache-spark-user-list.1001560.n3.nabble.com/programmatic-way-to-tell-Spark-version-td1929.html], I think it would be nice if there was a way to programmatically determine what version of Spark you are running.
The potential use cases are not that important, but they include:
# Branching your code based on what version of Spark is running.
# Checking your version without having to quit and restart the Spark shell.
Right now in PySpark, I believe the only way to determine your version is by firing up the Spark shell and looking at the startup banner.
> Add programmatic way to determine Spark version
> -----------------------------------------------
>
> Key: SPARK-1458
> URL: https://issues.apache.org/jira/browse/SPARK-1458
> Project: Spark
> Issue Type: New Feature
> Components: PySpark, Spark Core
> Affects Versions: 0.9.0
> Reporter: Nicholas Chammas
> Priority: Minor
>
> As discussed [here](http://apache-spark-user-list.1001560.n3.nabble.com/programmatic-way-to-tell-Spark-version-td1929.html), I think it would be nice if there was a way to programmatically determine what version of Spark you are running.
> The potential use cases are not that important, but they include:
> # Branching your code based on what version of Spark is running.
> # Checking your version without having to quit and restart the Spark shell.
> Right now in PySpark, I believe the only way to determine your version is by firing up the Spark shell and looking at the startup banner.
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