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https://issues.apache.org/jira/browse/MNEMONIC-511?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17395460#comment-17395460
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Yanhui Zhao commented on MNEMONIC-511:
--------------------------------------
One of the possible integration point is at
https://github.com/apache/flink/blob/779070274cf00cb475cb7bab1332317ba39ac16e/flink-streaming-scala/src/main/scala/org/apache/flink/streaming/api/scala/StreamExecutionEnvironment.scala
def readTextFile(filePath: String): DataStream[String] =
asScalaStream(javaEnv.readTextFile(filePath))
which traces to the JavaEnv at
org.apache.flink.api.java.{CollectionEnvironment, ExecutionEnvironment =>
JavaEnv}, need to further dig the JavaEnv class to see the return type of
readTextFile function call.
> Apache Flink integration
> ------------------------
>
> Key: MNEMONIC-511
> URL: https://issues.apache.org/jira/browse/MNEMONIC-511
> Project: Mnemonic
> Issue Type: New Feature
> Affects Versions: 0.16.0
> Reporter: Kevin Ratnasekera
> Assignee: Yanhui Zhao
> Priority: Major
> Fix For: 0.16.0
>
>
> I noticed existing Hadoop and Spark integration to Mnemonic project. I would
> like to propose further integration Flink Engine to the project. We might be
> able to reuse existing Hadoop input/output formats or write these input
> formats from the scratch feed/sink data in/out for Flink jobs.
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