[jira] [Reopened] (HUDI-2526) Make spark.sql.parquet.writeLegacyFormat configurable

["Alexey Kudinkin (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/HUDI-2526?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Alexey Kudinkin reopened HUDI-2526:
-----------------------------------

> Make spark.sql.parquet.writeLegacyFormat configurable
> -----------------------------------------------------
>
>                 Key: HUDI-2526
>                 URL: https://issues.apache.org/jira/browse/HUDI-2526
>             Project: Apache Hudi
>          Issue Type: Task
>            Reporter: Sagar Sumit
>            Assignee: Sagar Sumit
>            Priority: Blocker
>              Labels: pull-request-available
>             Fix For: 0.10.0
>
>
> From the community, 
> "I am observing that HUDI bulk inser in 0.9.0 version is not honoring
> spark.sql.parquet.writeLegacyFormat=true
> config. Can you suggest way to set this config.
> Reason to use this config:
> Current Bulk insert use spark dataframe writer and don't do avro conversion. The decimal columns in my DF are written as INT32 type in parquet.
> The upsert functionality which uses avro conversion is generating Fixed Length byte array for decimal types which is failing with datatype mismatch." 
> The main reason is that the [config is hardcoded|https://github.com/apache/hudi/blob/46808dcb1fe22491326a9e831dd4dde4c70796fb/hudi-client/hudi-spark-client/src/main/java/org/apache/hudi/io/storage/row/HoodieRowParquetWriteSupport.java#L48]. We can make it configurable.



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