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https://issues.apache.org/jira/browse/DRILL-1810?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14236100#comment-14236100
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Rahul Challapalli commented on DRILL-1810:
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Raised DRILL-1816 for tracking the IOOB issue with complex types
> Scalability issues with kvgen
> -----------------------------
>
> Key: DRILL-1810
> URL: https://issues.apache.org/jira/browse/DRILL-1810
> Project: Apache Drill
> Issue Type: Bug
> Components: Functions - Drill, Storage - JSON
> Reporter: Rahul Challapalli
> Assignee: Mehant Baid
> Attachments: complex.log, simple.log
>
>
> git.commit.id.abbrev=4a4f54a
> Memory Settings
> {code}
> DRILL_MAX_DIRECT_MEMORY="32G"
> DRILL_MAX_HEAP="4G"
> {code}
> Scalar Dataset :
> {code}
> {"col1":{"a":"b"}}
> {code}
> The below query works fine for the above data set. However, if I just copy
> the same record 100000 times and execute the same query, kvgen fails with
> memory related issues
> {code}
> select kvgen(col1) from `json_kvgenflatten/kvgen-scalar-large.json`;
> {code}
> Complex Dataset :
> {code}
> {
> "data" : {
> "col1" : {
> "one" : [1,2,3,4],
> "two" : [{"a":"b"},{"c":"d"}]
> }
> }
> }
> {code}
> Even in this case, the below query works fine for the above data set. However
> when we copy the same record 100000 times we are hitting memory issues
> {code}
> select kvgen(data) from `json_kvgenflatten/kvgen-complex-large.json`;
> {code}
> I attached the log files for both the scenarios. Let me know if you need
> anything
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