[
https://issues.apache.org/jira/browse/DRILL-7578?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17035231#comment-17035231
]
ASF GitHub Bot commented on DRILL-7578:
---------------------------------------
vvysotskyi commented on issue #1978: DRILL-7578: HDF5 Metadata Queries Fail
with Large Files
URL: https://github.com/apache/drill/pull/1978#issuecomment-585138433
I don't think that it is a good idea to add format config to ignore a
specific column for star queries. If the user wants to see specific columns, he
should specify them in the query.
By the way, if data is too large, is it possible to read it by batches?
----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
For queries about this service, please contact Infrastructure at:
[email protected]
> 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.
--
This message was sent by Atlassian Jira
(v8.3.4#803005)