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https://issues.apache.org/jira/browse/SPARK-50036?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Gengliang Wang resolved SPARK-50036.
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Fix Version/s: 4.0.0
Resolution: Fixed
Issue resolved by pull request 48552
[https://github.com/apache/spark/pull/48552]
> Include SPARK_LOG_SCHEMA in the context of repl shell
> -----------------------------------------------------
>
> Key: SPARK-50036
> URL: https://issues.apache.org/jira/browse/SPARK-50036
> Project: Spark
> Issue Type: Sub-task
> Components: Spark Core
> Affects Versions: 4.0.0
> Reporter: Gengliang Wang
> Assignee: Gengliang Wang
> Priority: Minor
> Labels: pull-request-available
> Fix For: 4.0.0
>
>
> *Before the Change:*
> Users needed to import {{LOG_SCHEMA}} to read structured logs as a JSON data
> source:
> import org.apache.spark.util.LogUtils.LOG_SCHEMA
> val logDf = spark.read.schema(LOG_SCHEMA).json("path/to/logs")
>
> *After the Change:*
> * *No Import Needed in REPL Shells:* You can now use {{SPARK_LOG_SCHEMA}}
> directly in REPL environments like {{spark-shell}} and {{pyspark}} without
> importing it.
> * *Renamed for Clarity:* {{LOG_SCHEMA}} has been renamed to
> {{SPARK_LOG_SCHEMA}} to make its purpose more clear.
> Now, you can read structured logs without the import:
> val logDf = spark.read.schema(SPARK_LOG_SCHEMA).json("path/to/logs")
>
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