[
https://issues.apache.org/jira/browse/BEAM-11742?focusedWorklogId=571649&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-571649
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ASF GitHub Bot logged work on BEAM-11742:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 25/Mar/21 05:11
Start Date: 25/Mar/21 05:11
Worklog Time Spent: 10m
Work Description: bobingm opened a new pull request #14335:
URL: https://github.com/apache/beam/pull/14335
When `WriteToParquet` with required (not nullable) `pyarrow.fields`, error
will be raised
```
E ValueError: Table schema does not match schema used to create
file:
E table:
E name: string
E favorite_number: int64
E favorite_color: string vs.
E file:
E name: string not null
E favorite_number: int64 not null
E favorite_color: string [while running
'WriteToParquet/Write/WriteImpl/WriteBundles']
```
Creating batch records with `pyarrow` schema will resolve this issue. Before
pyarrow 0.15.0, `pyarrow` doesn't allow creating batch records using schema.
------------------------
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Issue Time Tracking
-------------------
Worklog Id: (was: 571649)
Remaining Estimate: 0h
Time Spent: 10m
> Use schema when creating record batch in ParquetSink
> ----------------------------------------------------
>
> Key: BEAM-11742
> URL: https://issues.apache.org/jira/browse/BEAM-11742
> Project: Beam
> Issue Type: Improvement
> Components: io-py-parquet
> Reporter: Wenbing Bai
> Assignee: Wenbing Bai
> Priority: P2
> Time Spent: 10m
> Remaining Estimate: 0h
>
> Before pyarrow 0.15, it is not possible to create pyarrow record batch with
> schema.
> So in apache_beam.io.parquetio._ParquetSink, when creating pyarrow record
> batch we use
>
> {code:java}
> rb = pa.RecordBatch.from_arrays(arrays, self._schema.names){code}
> Error is raised that the parquet table to be created (record batch schema)
> has a different schema with the schema specify (self._schema).
> For example, when schema specified with "is not null", the record batch
> schema doesn't indicate that, the error will be raised.
>
> The fix is to use schema instead of names in pa.RecordBatch.from_arrays
> {code:java}
> rb = pa.RecordBatch.from_arrays(arrays, schema=self._schema){code}
>
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