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https://issues.apache.org/jira/browse/BEAM-5918?focusedWorklogId=160685&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-160685
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ASF GitHub Bot logged work on BEAM-5918:
----------------------------------------
Author: ASF GitHub Bot
Created on: 30/Oct/18 15:47
Start Date: 30/Oct/18 15:47
Worklog Time Spent: 10m
Work Description: kanterov opened a new pull request #6888: [BEAM-5918]
Add Cast transform for Rows
URL: https://github.com/apache/beam/pull/6888
Casts rows from one schema, into another. Implements:
- widening values (e.g., int -> long), to be extended with more conversions
- narrowwing (e.g., int -> short), to be extended with more conversions
- ignoring nullability (nullable=true -> nullable=false)
- weakening nullability (nullable=false -> nullable=true)
- projection (Schema(a: Int32, b: Int32) -> Schema(a: Int32))
It would be very useful for Row-based IO-s, for instance, BeamBigQueryTable
can be implemented with org.apache.beam.sdk.schemas.utils.AvroUtils and Cast,
and this will make it more flexible, now it's very restrictive to the schema.
Another example is reading AVRO GenericRecord as user-provided POJO,
[BEAM-5807](https://issues.apache.org/jira/browse/BEAM-5807).
I want to get an initial port of feedback before polishing Javadoc, API, etc.
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Post-Commit Tests Status (on master branch)
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Issue Time Tracking
-------------------
Worklog Id: (was: 160685)
Time Spent: 10m
Remaining Estimate: 0h
> Add Cast transform for Rows
> ---------------------------
>
> Key: BEAM-5918
> URL: https://issues.apache.org/jira/browse/BEAM-5918
> Project: Beam
> Issue Type: Improvement
> Components: sdk-java-core
> Reporter: Gleb Kanterov
> Assignee: Kenneth Knowles
> Priority: Major
> Time Spent: 10m
> Remaining Estimate: 0h
>
> There is a need for a generic transform that given two Row schemas will
> convert rows between them. There must be a possibility to opt-out from
> certain kind of conversions, for instance, converting ints to shorts can
> cause overflow. Another example, a schema could have a nullable field, but
> never have NULL value in practice, because it was filtered out.
> What is needed:
> - widening values (e.g., int -> long)
> - narrowwing (e.g., int -> short)
> - runtime check for overflow while narrowing
> - ignoring nullability (nullable=true -> nullable=false)
> - weakening nullability (nullable=false -> nullable=true)
> - projection (Schema(a: Int32, b: Int32) -> Schema(a: Int32))
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