agrawaldevesh commented on a change in pull request #33695:
URL: https://github.com/apache/spark/pull/33695#discussion_r738601745
##########
File path:
sql/core/src/main/java/org/apache/spark/sql/execution/datasources/parquet/VectorizedColumnReader.java
##########
@@ -204,26 +225,34 @@ void readBatch(int total, WritableColumnVector column)
throws IOException {
boolean isUnsignedInt64 =
updaterFactory.isUnsignedIntTypeMatched(64);
boolean needTransform = castLongToInt || isUnsignedInt32 ||
isUnsignedInt64;
- column.setDictionary(new ParquetDictionary(dictionary,
needTransform));
+ values.setDictionary(new ParquetDictionary(dictionary,
needTransform));
} else {
- updater.decodeDictionaryIds(readState.offset - startOffset,
startOffset, column,
+ updater.decodeDictionaryIds(readState.valueOffset - startOffset,
startOffset, values,
dictionaryIds, dictionary);
}
} else {
- if (column.hasDictionary() && readState.offset != 0) {
+ if (values.hasDictionary() && readState.valueOffset != 0) {
// This batch already has dictionary encoded values but this new
page is not. The batch
// does not support a mix of dictionary and not so we will decode
the dictionary.
- updater.decodeDictionaryIds(readState.offset, 0, column,
dictionaryIds, dictionary);
+ updater.decodeDictionaryIds(readState.valueOffset, 0, values,
dictionaryIds, dictionary);
}
- column.setDictionary(null);
+ values.setDictionary(null);
VectorizedValuesReader valuesReader = (VectorizedValuesReader)
dataColumn;
- defColumn.readBatch(readState, column, valuesReader, updater);
+ if (readState.maxRepetitionLevel == 0) {
+ defColumn.readBatch(readState, values, definitionLevels,
valuesReader, updater);
+ } else {
+ repColumn.readBatchNested(readState, repetitionLevels, defColumn,
definitionLevels,
+ values, valuesReader, updater);
+ }
}
}
}
private int readPage() {
DataPage page = pageReader.readPage();
+ if (page == null) {
Review comment:
Just curious when/why does this case now happen ? Can we run past a
column in the middle ?
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