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https://issues.apache.org/jira/browse/SPARK-59417?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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ASF GitHub Bot updated SPARK-59417:
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Labels: pull-request-available (was: )
> Stream multiline top-level JSON arrays during JSON reads
> --------------------------------------------------------
>
> Key: SPARK-59417
> URL: https://issues.apache.org/jira/browse/SPARK-59417
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 4.0.0
> Reporter: Tim Meehan
> Priority: Major
> Labels: pull-request-available
>
> When Spark reads multiline JSON whose root value is an array of structs,
> {{JacksonParser}} currently materializes the entire array before returning
> rows. For large arrays, parser-side memory usage therefore grows with the
> complete document size.
> Add an opt-in SQL configuration that allows elements of a top-level array to
> be emitted lazily from a single Jackson parser. The existing eager behavior
> remains the default for compatibility and staged rollout.
> The streaming path should:
> * Keep parser-side memory bounded rather than materializing the full array.
> * Preserve rows emitted before a later malformed element.
> * Handle late failures according to PERMISSIVE, DROPMALFORMED, and FAILFAST
> modes.
> * Leave existing eager parser callers unchanged.
> {{
> Configuration: }}
> {{spark.sql.json.enableStreamingTopLevelArray (default false)}}
>
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