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https://issues.apache.org/jira/browse/SPARK-24924?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16572556#comment-16572556
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Wenchen Fan commented on SPARK-24924:
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> I assume we could theoretically also support the spark.read.avro format as
> well
There was a discussion about why we shouldn't support it:
https://github.com/apache/spark/pull/21841
Users always need to do some manual work to use `spark.read.avro`, even with
the databricks avro package. Now users can still define an implicit class to
support `spark.read.avro` if they want to.
> Add mapping for built-in Avro data source
> -----------------------------------------
>
> Key: SPARK-24924
> URL: https://issues.apache.org/jira/browse/SPARK-24924
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Affects Versions: 2.4.0
> Reporter: Dongjoon Hyun
> Assignee: Dongjoon Hyun
> Priority: Minor
> Fix For: 2.4.0
>
>
> This issue aims to the followings.
> # Like `com.databricks.spark.csv` mapping, we had better map
> `com.databricks.spark.avro` to built-in Avro data source.
> # Remove incorrect error message, `Please find an Avro package at ...`.
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