rahil-c commented on code in PR #18797:
URL: https://github.com/apache/hudi/pull/18797#discussion_r3304703686
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hudi-spark-datasource/hudi-spark-common/src/main/scala/org/apache/spark/sql/hudi/analysis/HoodieVectorSearchPlanBuilder.scala:
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@@ -232,25 +248,50 @@ object HoodieVectorSearchPlanBuilder {
* and select top-K per query. The cross-join produces O(|corpus| * |queries|)
* intermediate rows, so this is suitable for small-to-medium query sets
* (tens to low hundreds of queries) against moderate corpora.
+ *
+ * <p>Both modes support an optional {@code filter} predicate (applied to the
corpus before
+ * distance computation, and an optional * {@code maxDistance} threshold
(results beyond this distance are excluded before top-K
+ * selection, reducing shuffle and sort volume).
*/
object BruteForceSearchAlgorithm extends VectorSearchAlgorithm {
import HoodieVectorSearchPlanBuilder._
override val name: String = "brute_force"
+ /**
+ * Applies a user-supplied SQL predicate to the corpus DataFrame, wrapping
+ * [[ParseException]] (predicate syntax error) and [[AnalysisException]]
+ * (unknown column, type mismatch, etc.) in a [[HoodieAnalysisException]]
that
+ * echoes the offending expression. Other exception types are allowed to
+ * propagate untouched so they aren't misreported as a filter problem.
+ */
+ private def applyFilter(df: DataFrame, filterExpr: String): DataFrame = {
+ try {
+ df.filter(filterExpr)
+ } catch {
+ case e @ (_: ParseException | _: AnalysisException) =>
+ throw new HoodieAnalysisException(
+ s"Invalid pre-filter expression '$filterExpr': ${e.getMessage}")
+ }
+ }
+
override def buildSingleQueryPlan(
spark: SparkSession,
corpusDf: DataFrame,
embeddingCol: String,
queryVector: Array[Double],
k: Int,
- metric: DistanceMetric.Value): LogicalPlan = {
+ metric: DistanceMetric.Value,
+ filter: Option[String] = None,
+ maxDistance: Option[Double] = None): LogicalPlan = {
Review Comment:
will remove
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