danny0405 commented on code in PR #10191:
URL: https://github.com/apache/hudi/pull/10191#discussion_r1408732461
##########
hudi-spark-datasource/hudi-spark-common/src/main/scala/org/apache/hudi/HoodieFileIndex.scala:
##########
@@ -340,9 +347,18 @@ case class HoodieFileIndex(spark: SparkSession,
// and candidate files are obtained from these file slices.
lazy val queryReferencedColumns = collectReferencedColumns(spark,
queryFilters, schema)
-
+ // bucket query index
+ var bucketIds = Option.empty[BitSet]
+ if (bucketIndex.isIndexAvailable && isDataSkippingEnabled) {
+ bucketIds = bucketIndex.filterQueriesWithBucketHashField(queryFilters)
+ }
+ // record index
lazy val (_, recordKeys) =
recordLevelIndex.filterQueriesWithRecordKey(queryFilters)
- if (!isMetadataTableEnabled || !isDataSkippingEnabled) {
+
+ // index chose
+ if (bucketIndex.isIndexAvailable && bucketIds.isDefined &&
bucketIds.get.cardinality() > 0) {
+ Option.apply(bucketIndex.getCandidateFiles(allBaseFiles, bucketIds.get))
Review Comment:
And the bucket index file skipping should be orthoganal to the other
skipping strategies, let's just try the bucket skipping first then continue
with the other strategies.
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