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https://issues.apache.org/jira/browse/BEAM-10030?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Saurabh Joshi updated BEAM-10030:
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Component/s: sdk-java-core
> Add CSVIO for Java SDK
> ----------------------
>
> Key: BEAM-10030
> URL: https://issues.apache.org/jira/browse/BEAM-10030
> Project: Beam
> Issue Type: New Feature
> Components: io-ideas, sdk-java-core
> Reporter: Saurabh Joshi
> Priority: P2
> Attachments: CSVSource.java
>
>
> Apache Beam has TextIO class which can read text based files line by line,
> delimited by either a carriage return, newline, or a carriage return and a
> newline. This approach does not support CSV files which have records that
> span multiple lines. This is because there could be fields where there is a
> newline inside the double quotes.
> This Stackoverflow question is relevant for a feature that should be added to
> Apache Beam:
> [https://stackoverflow.com/questions/51439189/how-to-read-large-csv-with-beam]
> I can think of two libraries we could use for handling CSV files. The first
> one is using Apache Commons CSV library. Here is some example code which can
> use CSVRecord class for reading and writing CSV records:
> {{{color:#172b4d}{{PipelineOptions options =
> PipelineOptionsFactory.create();}}
> {{Pipeline pipeline = Pipeline.create(options);}}
> {{PCollection<CSVRecord> records = pipeline.apply("ReadCSV",
> CSVIO.read().from("input.csv"));}}
> records.apply("WriteCSV", CSVIO.write().to("output.csv"));{color}}}
> Another library we could use is Jackson CSV, which allows users to specify
> schemas for the columns:
> [https://github.com/FasterXML/jackson-dataformats-text/tree/master/csv]
> The crux of the problem is this: can we read and write large CSV files in
> parallel, by splitting the records and distribute it to many workers? If so,
> would it be good to have a feature where Apache Beam supports reading/writing
> CSV files?
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