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https://issues.apache.org/jira/browse/SPARK-53054?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Dongjoon Hyun closed SPARK-53054.
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> The Scala Spark Connect DataFrameReader does not use the correct default
> format
> -------------------------------------------------------------------------------
>
> Key: SPARK-53054
> URL: https://issues.apache.org/jira/browse/SPARK-53054
> Project: Spark
> Issue Type: Bug
> Components: Connect
> Affects Versions: 3.4.4, 3.5.6, 4.0.0
> Reporter: Robert Dillitz
> Assignee: Robert Dillitz
> Priority: Major
> Labels: connect, pull-request-available
> Fix For: 4.1.0, 4.0.1, 3.5.7
>
> Original Estimate: 24h
> Remaining Estimate: 24h
>
> As documented in [Generic Load/Save Functions - Spark 3.5.6
> Documentation|https://spark.apache.org/docs/3.5.6/sql-data-sources-load-save-functions.html],
> and similar to Spark Classic and the Python Spark Connect, Scala Spark
> Connect's {{DataFrameReader}} should default to the format set via the
> {{spark.sql.sources.default}} config.
> {*}Currently{*}: {{spark.read.load("...")}} throws
> {code:java}
> java.lang.IllegalArgumentException: The source format must be specified.{code}
> {*}Expected{*}: {{spark.read.load("...")}} uses the format specified via
> {{spark.sql.sources.default}}
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