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https://issues.apache.org/jira/browse/BEAM-11460?focusedWorklogId=528351&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-528351
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ASF GitHub Bot logged work on BEAM-11460:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 25/Dec/20 09:09
Start Date: 25/Dec/20 09:09
Worklog Time Spent: 10m
Work Description: iemejia merged pull request #13616:
URL: https://github.com/apache/beam/pull/13616
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Issue Time Tracking
-------------------
Worklog Id: (was: 528351)
Time Spent: 2h 10m (was: 2h)
> Support reading Parquet files with unknown schema
> -------------------------------------------------
>
> Key: BEAM-11460
> URL: https://issues.apache.org/jira/browse/BEAM-11460
> Project: Beam
> Issue Type: New Feature
> Components: io-java-parquet
> Reporter: Anant Damle
> Priority: P1
> Labels: Parquet
> Original Estimate: 336h
> Time Spent: 2h 10m
> Remaining Estimate: 0h
>
> Data engineers encounter times when schema of Parquet file is unknown at the
> time of writing the pipeline or multiple schema may be present in different
> files. Reading Parquet files using ParquetIO requires providing an Avro
> (equivalent) schema, Many a times its not possible to know the schema of the
> Parquet files.
> On the other hand
> [AvroIO|https://beam.apache.org/releases/javadoc/2.26.0/org/apache/beam/sdk/io/AvroIO.html]
> supports reading unknow schema files by providing a parse function :
> {{*#parseGenericRecords(SerializableFunction<GenericRecord,T>)*}}
> Supporting this functionality in ParquetIO is simple and requires minimal
> changes to the ParquetIO surface.
> {code}
> Pipeline p = ...;
> PCollection<String> filepatterns = p.apply(...);
> PCollection<Foo> records =
> filepatterns
> .apply(FileIO.matchAll())
> .apply(FileIO.readMatches())
> .apply(ParquetIO.parseGenericRecords(new
> SerializableFunction<GenericRecord, Foo>() {
> public Foo apply(GenericRecord record) {
> // If needed, access the schema of the record using
> record.getSchema()
> return ...;
> }
> }));
> {code}
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