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https://issues.apache.org/jira/browse/DRILL-7578?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17038762#comment-17038762
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ASF GitHub Bot commented on DRILL-7578:
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cgivre commented on issue #1978: DRILL-7578: HDF5 Metadata Queries Fail with
Large Files
URL: https://github.com/apache/drill/pull/1978#issuecomment-587259759
@paul-rogers @vvysotskyi
See above comment. I removed the config option and added logger warnings if
the data is truncated. Again, this is just for "preview" mode so real data
queries are not affected.
In doing this PR, I discovered that the HDF5 format allows for arrays within
compound fields.
This functionality is not supported by Drill so I added a warning for that.
In the future, or if anyone asks for it, I may add it but for now, I'm leaving
that alone.
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> HDF5 Metadata Queries Fail with Large Files
> -------------------------------------------
>
> Key: DRILL-7578
> URL: https://issues.apache.org/jira/browse/DRILL-7578
> Project: Apache Drill
> Issue Type: Bug
> Affects Versions: 1.18.0
> Reporter: Charles Givre
> Assignee: Charles Givre
> Priority: Major
> Fix For: 1.18.0
>
>
> With large files, Drill runs out of memory when attempting to project large
> datasets in the metadata.
> This PR adds a configuration option which removes the dataset projection from
> metadata queries and fixes this issue.
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