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https://issues.apache.org/jira/browse/DRILL-7578?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17046125#comment-17046125
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ASF GitHub Bot commented on DRILL-7578:
---------------------------------------
cgivre commented on pull request #1978: DRILL-7578: HDF5 Metadata Queries Fail
with Large Files
URL: https://github.com/apache/drill/pull/1978#discussion_r384901864
##########
File path:
contrib/format-hdf5/src/main/java/org/apache/drill/exec/store/hdf5/HDF5BatchReader.java
##########
@@ -1032,11 +1081,11 @@ private void getAndMapCompoundData(String path,
List<String> fieldNames, IHDF5Re
SchemaBuilder innerSchema = new SchemaBuilder();
MapBuilder mapBuilder = innerSchema.addMap(COMPOUND_DATA_FIELD_NAME);
-
for (HDF5CompoundMemberInformation info : infos) {
fieldNames.add(info.getName());
+ String compoundColumnDataType =
info.getType().tryGetJavaType().getSimpleName();
- switch (info.getType().tryGetJavaType().getSimpleName()) {
+ switch (compoundColumnDataType) {
Review comment:
The `getType()` is actually a poorly named method in that it doesn't return
the type, but rather an `HDF5DataTypeInformation` object. [1]. Once you have
this object, you still have to call one of the various methods like
`tryGetJavaType()` to actually get a data type that is useful.
[1]:
http://svnsis.ethz.ch/doc/openbis/S175.0/ch/systemsx/cisd/hdf5/HDF5DataTypeInformation.html
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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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