[jira] [Resolved] (SPARK-29931) Declare all SQL legacy configs as will be removed in Spark 4.0

["Dongjoon Hyun (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-29931?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Dongjoon Hyun resolved SPARK-29931.
-----------------------------------
    Resolution: Later

> Declare all SQL legacy configs as will be removed in Spark 4.0
> --------------------------------------------------------------
>
>                 Key: SPARK-29931
>                 URL: https://issues.apache.org/jira/browse/SPARK-29931
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 3.0.0
>            Reporter: Maxim Gekk
>            Priority: Minor
>
> Add the sentence to descriptions of all legacy SQL configs existed before Spark 3.0: "This config will be removed in Spark 4.0.". Here is the list of such configs:
> * spark.sql.legacy.execution.pandas.groupedMap.assignColumnsByName
> * spark.sql.legacy.literal.pickMinimumPrecision
> * spark.sql.legacy.allowCreatingManagedTableUsingNonemptyLocation
> * spark.sql.legacy.sizeOfNull
> * spark.sql.legacy.replaceDatabricksSparkAvro.enabled
> * spark.sql.legacy.setopsPrecedence.enabled
> * spark.sql.legacy.integralDivide.returnBigint
> * spark.sql.legacy.bucketedTableScan.outputOrdering
> * spark.sql.legacy.parser.havingWithoutGroupByAsWhere
> * spark.sql.legacy.dataset.nameNonStructGroupingKeyAsValue
> * spark.sql.legacy.setCommandRejectsSparkCoreConfs
> * spark.sql.legacy.utcTimestampFunc.enabled
> * spark.sql.legacy.typeCoercion.datetimeToString
> * spark.sql.legacy.looseUpcast
> * spark.sql.legacy.ctePrecedence.enabled
> * spark.sql.legacy.arrayExistsFollowsThreeValuedLogic



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