You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@beam.apache.org by "Saurabh Joshi (Jira)" <ji...@apache.org> on 2020/05/19 01:40:00 UTC

[jira] [Created] (BEAM-10030) Add CSVIO for Java SDK

Saurabh Joshi created BEAM-10030:
------------------------------------

             Summary: 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
            Reporter: Saurabh Joshi


Apache Beam has TextIO 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? If so, would it be good to have a feature where Apache Beam supports reading/writing CSV files?



--
This message was sent by Atlassian Jira
(v8.3.4#803005)