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Posted to issues@beam.apache.org by "ASF GitHub Bot (Jira)" <ji...@apache.org> on 2020/05/01 02:34:00 UTC
[jira] [Work logged] (BEAM-9840) Support for Parameterized Types
when converting from HCatRecords to Rows in HCatalogIO
[ https://issues.apache.org/jira/browse/BEAM-9840?focusedWorklogId=429332&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-429332 ]
ASF GitHub Bot logged work on BEAM-9840:
----------------------------------------
Author: ASF GitHub Bot
Created on: 01/May/20 02:33
Start Date: 01/May/20 02:33
Worklog Time Spent: 10m
Work Description: aaltay commented on pull request #11569:
URL: https://github.com/apache/beam/pull/11569#issuecomment-622219761
retest this please
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Issue Time Tracking
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Worklog Id: (was: 429332)
Time Spent: 0.5h (was: 20m)
> Support for Parameterized Types when converting from HCatRecords to Rows in HCatalogIO
> --------------------------------------------------------------------------------------
>
> Key: BEAM-9840
> URL: https://issues.apache.org/jira/browse/BEAM-9840
> Project: Beam
> Issue Type: Improvement
> Components: io-java-hcatalog
> Reporter: Rahul Patwari
> Assignee: Rahul Patwari
> Priority: Major
> Fix For: 2.21.0
>
> Time Spent: 0.5h
> Remaining Estimate: 0h
>
> In Hive, to use CHAR and VARCHAR as the data type for a column, the types have to be parameterized with the length of the character sequence. Refer [https://github.com/apache/hive/blob/f37c5de6c32b9395d1b34fa3c02ed06d1bfbf6eb/serde/src/test/org/apache/hadoop/hive/serde2/typeinfo/TestTypeInfoUtils.java#L68]
> In addition, for the DECIMAL data type, custom precision and scale can be provided as parameters.
> A user has faced an Exception while reading data from a table created in Hive with a parameterized DECIMAL data type. Refer [https://lists.apache.org/thread.html/r159012fbefce24d734096e3ec24ecd112de5f89b8029e57147d233b0%40%3Cuser.beam.apache.org%3E].
> This ticket is created to support converting from HcatRecords to Rows when the HCatRecords have parameterized types.
> To Support Parameterized data types, we can make use of HcatFieldSchema. Refer [https://github.com/apache/hive/blob/f37c5de6c32b9395d1b34fa3c02ed06d1bfbf6eb/hcatalog/core/src/main/java/org/apache/hive/hcatalog/data/schema/HCatFieldSchema.java#L34]
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