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https://issues.apache.org/jira/browse/FLINK-2954?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15028668#comment-15028668
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ASF GitHub Bot commented on FLINK-2954:
---------------------------------------
Github user rmetzger commented on a diff in the pull request:
https://github.com/apache/flink/pull/1409#discussion_r45973217
--- Diff:
flink-yarn-tests/src/main/java/org/apache/flink/yarn/UtilsTest.java ---
@@ -97,6 +98,18 @@ public void tooMuchCutoff() {
Assert.assertEquals(0, Utils.calculateHeapSize(4000, conf));
}
+ @Test
+ public void testGetEnvironmentVariables() {
+ Configuration testConf = new Configuration();
+
testConf.setString("yarn.application-master.env.LD_LIBRARY_PATH",
"/usr/lib/native");
+
+ Map<String, String> res =
Utils.getEnvironmentVariables("yarn.application-master.env.", testConf);
+
+ Assert.assertEquals(1, res.size());
+ Map.Entry<String, String> entry =
res.entrySet().iterator().next();
+ Assert.assertEquals("LD_LIBRARY_PATH", entry.getKey());
+ Assert.assertEquals("/usr/lib/native", entry.getValue());
+ }
--- End diff --
I think its okay to assume that the method will work for all prefix strings.
This test is only about the method for extracting the variables.
> Not able to pass custom environment variables in cluster to processes that
> spawning TaskManager
> -----------------------------------------------------------------------------------------------
>
> Key: FLINK-2954
> URL: https://issues.apache.org/jira/browse/FLINK-2954
> Project: Flink
> Issue Type: Bug
> Components: Command-line client, Distributed Runtime
> Affects Versions: 0.10.0
> Reporter: Jian Jiang
> Assignee: Robert Metzger
> Priority: Critical
> Fix For: 1.0.0
>
>
> There are programs that rely on custom environment variables. In hadoop
> mapreduce job we can use -Dmapreduce.map.env and - Dmapreduce.reduce.env to
> do pass them. Similarly in Spark
> we can use --conf 'spark.executor.XXX=value for XXX'. There is no such
> feature yet in Flink.
> This has given Flink a serious disadvantage when customers need such feature.
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