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https://issues.apache.org/jira/browse/SPARK-25396?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Dongjoon Hyun updated SPARK-25396:
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Affects Version/s: (was: 3.0.0)
3.1.0
> Read array of JSON objects via an Iterator
> ------------------------------------------
>
> Key: SPARK-25396
> URL: https://issues.apache.org/jira/browse/SPARK-25396
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 3.1.0
> Reporter: Maxim Gekk
> Priority: Minor
>
> If a JSON file has a structure like below:
> {code}
> [
> {
> "time":"2018-08-13T18:00:44.0860000Z",
> "resourceId":"some-text",
> "category":"A",
> "level":2,
> "operationName":"Error",
> "properties":{...}
> },
> {
> "time":"2018-08-14T18:00:44.0860000Z",
> "resourceId":"some-text2",
> "category":"B",
> "level":3,
> "properties":{...}
> },
> ...
> ]
> {code}
> it should be read in the `multiLine` mode. In this mode, Spark read whole
> array into memory in both cases when schema is `ArrayType` and `StructType`.
> It can lead to unnecessary memory consumption and even to OOM for big JSON
> files.
> In general, there is no need to materialize all parsed JSON record in memory
> there:
> https://github.com/apache/spark/blob/a8a1ac01c4732f8a738b973c8486514cd88bf99b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/json/JacksonParser.scala#L88-L95
> . So, JSON objects of an array can be read via an Iterator.
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