[jira] [Commented] (BEAM-17) Add support for new Beam Source API
[ https://issues.apache.org/jira/browse/BEAM-17?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15509658#comment-15509658 ] Amit Sela commented on BEAM-17: --- Same for streaming, with UnboundedSource, but the challenge there is greater since a "checkpointing" mechanism needs to be available on the workers. > Add support for new Beam Source API > --- > > Key: BEAM-17 > URL: https://issues.apache.org/jira/browse/BEAM-17 > Project: Beam > Issue Type: Improvement > Components: runner-spark >Reporter: Amit Sela >Assignee: Amit Sela > > The API is discussed in > https://cloud.google.com/dataflow/model/sources-and-sinks#creating-sources > To implement this, we need to add support for > com.google.cloud.dataflow.sdk.io.Read in TransformTranslator. This can be > done by creating a new SourceInputFormat class that translates from a DF > Source to a Hadoop InputFormat. The two concepts are pretty-well aligned > since they both have the concept of splits and readers. > Note that when there's a native HadoopSource in DF, it will need > special-casing in the code for Read since we'll be able to use the underlying > InputFormat directly. > This could be tested using XmlSource from the SDK. -- This message was sent by Atlassian JIRA (v6.3.4#6332)
[jira] [Commented] (BEAM-17) Add support for new Beam Source API
[ https://issues.apache.org/jira/browse/BEAM-17?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15348444#comment-15348444 ] Amit Sela commented on BEAM-17: --- Implementing for next gen. Spark runner - Spark 2.x > Add support for new Beam Source API > --- > > Key: BEAM-17 > URL: https://issues.apache.org/jira/browse/BEAM-17 > Project: Beam > Issue Type: Improvement > Components: runner-spark >Reporter: Amit Sela >Assignee: Amit Sela > > The API is discussed in > https://cloud.google.com/dataflow/model/sources-and-sinks#creating-sources > To implement this, we need to add support for > com.google.cloud.dataflow.sdk.io.Read in TransformTranslator. This can be > done by creating a new SourceInputFormat class that translates from a DF > Source to a Hadoop InputFormat. The two concepts are pretty-well aligned > since they both have the concept of splits and readers. > Note that when there's a native HadoopSource in DF, it will need > special-casing in the code for Read since we'll be able to use the underlying > InputFormat directly. > This could be tested using XmlSource from the SDK. -- This message was sent by Atlassian JIRA (v6.3.4#6332)
