Aggarwal-Raghav commented on code in PR #6741:
URL: https://github.com/apache/hive/pull/6741#discussion_r3890339740
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ql/src/java/org/apache/hadoop/hive/ql/io/parquet/ParquetRecordReaderBase.java:
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@@ -181,6 +186,95 @@ protected ParquetInputSplit getSplit(
return split;
}
+ /**
+ * Prunes the row groups of this split with the pushed down predicate.
+ *
+ * <p>Statistics come from the footer, which is already in memory. Bloom
filters live in the data file and
+ * need an open reader, so one is opened only after statistics have had
their say and only while a
+ * surviving row group still carries a bloom filter.
+ *
+ * <p>The reader is built from a copy of the job conf with the pushed down
predicate removed. Parquet reads
+ * that predicate from the conf and filters row groups inside the
constructor; leaving it in place would
+ * read every bloom filter twice and every dictionary page once, only to
discard the result.
+ */
+ private List<BlockMetaData> filterRowGroups(FilterCompat.Filter filter,
List<BlockMetaData> splitGroup,
+ FileMetaData fileMetaData) throws IOException {
+ List<BlockMetaData> statsFiltered =
+ RowGroupFilter.filterRowGroups(filter, splitGroup,
fileMetaData.getSchema());
+ Set<ColumnPath> prunableColumns = bloomFilterPrunableColumns(filter);
+ if (statsFiltered.isEmpty() ||
!jobConf.getBoolean(ParquetInputFormat.BLOOM_FILTERING_ENABLED, true) ||
+ prunableColumns.isEmpty() || !hasBloomFilters(statsFiltered,
prunableColumns)) {
+ return statsFiltered;
+ }
+
+ JobConf bloomFilterConf = new JobConf(jobConf);
+ bloomFilterConf.unset(ParquetInputFormat.FILTER_PREDICATE);
+ // filePath, not the split path: LLAP may rewrite it to a file id path,
and the bloom filter offsets
+ // being used here come from the footer that was read from it.
+ try (ParquetFileReader bloomFilterReader = new
ParquetFileReader(bloomFilterConf, fileMetaData, filePath,
+ statsFiltered, fileMetaData.getSchema().getColumns())) {
+ return RowGroupFilter.filterRowGroups(
+ Collections.singletonList(RowGroupFilter.FilterLevel.BLOOMFILTER),
filter, statsFiltered,
+ bloomFilterReader);
+ }
+ }
+
+ /**
+ * The columns this predicate could prune a row group on with a bloom
filter. A bloom filter only proves
+ * that a value is absent, so it serves equality and set membership and
nothing else, and only for the
+ * columns those terms name. An empty result means opening the data file
could not pay off. Parquet
+ * reaches the same conclusion in BloomFilterImpl, but only once the reader
is already open.
+ */
+ private static Set<ColumnPath>
bloomFilterPrunableColumns(FilterCompat.Filter filter) {
+ return filter instanceof FilterCompat.FilterPredicateCompat ?
+ bloomFilterPrunableColumns(((FilterCompat.FilterPredicateCompat)
filter).getFilterPredicate()) :
+ Collections.emptySet();
+ }
+
+ private static Set<ColumnPath> bloomFilterPrunableColumns(FilterPredicate
predicate) {
+ if (predicate instanceof Operators.Eq) {
+ Operators.Eq<?> eq = (Operators.Eq<?>) predicate;
+ // eq(col, null) asks for nulls, which a bloom filter says nothing about
+ return eq.getValue() == null ? Collections.emptySet() :
+ Collections.singleton(eq.getColumn().getColumnPath());
+ }
+ if (predicate instanceof Operators.In) {
+ // Hive builds IN as a chain of ORed equalities rather than this node,
but honor it if that changes
+ return Collections.singleton(((Operators.In<?>)
predicate).getColumn().getColumnPath());
+ }
+ if (predicate instanceof Operators.And) {
+ Operators.And and = (Operators.And) predicate;
+ // dropping either side of a conjunction drops the row group
+ return union(bloomFilterPrunableColumns(and.getLeft()),
bloomFilterPrunableColumns(and.getRight()));
+ }
+ if (predicate instanceof Operators.Or) {
Review Comment:
nit for readablity 😬: `Set.Of` can be use instead of Collections
then the `Collections.emptySet() :
Collections.singleton(eq.getColumn().getColumnPath());`
be `Set.of() : Set.of(eq.getColumn().getColumnPath());`
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