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https://issues.apache.org/jira/browse/FLINK-1017?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14104907#comment-14104907
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Hung Chang commented on FLINK-1017:
-----------------------------------
Some improvements are made.
At the end of transformations
https://github.com/HungUnicorn/incubator-flink/blob/HungParallel/docs/java_api_guide.md#transformations
Parallel execution
https://github.com/HungUnicorn/incubator-flink/blob/HungParallel/docs/java_api_guide.md#parallel-execution
Some suggestions are needed. For example, shall I describe system-level in
more detail?
By mentioning parallelization.degree.default: 3 in conf/flink-conf.yaml.
I tried name() but confused about its usage.
DataSet<Tuple2<String, Integer>> wordCounts = text
.flatMap(new LineSplitter())
.groupBy(0)
.sum(1).name("NameMethodTest");
The above dataset can be called by wordCounts but not "NameMethodTest".
In what situation it can be used?
> Add setParallelism() to Java API documentation
> ----------------------------------------------
>
> Key: FLINK-1017
> URL: https://issues.apache.org/jira/browse/FLINK-1017
> Project: Flink
> Issue Type: Task
> Components: Documentation
> Affects Versions: 0.6-incubating, pre-apache-0.5
> Reporter: Fabian Hueske
> Assignee: Hung Chang
> Priority: Minor
> Labels: starter
> Fix For: 0.6-incubating
>
>
> The Java API offers {{setParallelism()}} to control the degree of parallelism
> for each operator. This feature is not documented and should be added.
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