rahil-c commented on code in PR #18432:
URL: https://github.com/apache/hudi/pull/18432#discussion_r3033374629
##########
hudi-spark-datasource/hudi-spark-common/src/main/scala/org/apache/spark/sql/hudi/analysis/HoodieSparkBaseAnalysis.scala:
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@@ -310,6 +332,52 @@ case class ResolveReferences(spark: SparkSession) extends
Rule[LogicalPlan]
sparkAdapter.getCatalystPlanUtils.unapplyMergeIntoTable(plan)
}
+ private def resolveTableToDf(tableName: String): DataFrame = {
+ if (tableName.contains(StoragePath.SEPARATOR)) {
+ spark.read.format("hudi").load(tableName)
+ } else {
+ spark.table(tableName)
+ }
+ }
+
+ private def evaluateQueryVector(expr: Expression): Array[Double] = {
+ if (!expr.foldable) {
+ throw new HoodieAnalysisException(
+ s"Function '${HoodieVectorSearchTableValuedFunction.FUNC_NAME}': " +
+ "query vector must be a constant expression (e.g., ARRAY(1.0, 2.0,
3.0))")
+ }
+ val value = expr.eval(null)
+ if (value == null) {
+ throw new HoodieAnalysisException(
+ s"Function '${HoodieVectorSearchTableValuedFunction.FUNC_NAME}': query
vector cannot be null")
+ }
+
+ val arrayData = value.asInstanceOf[ArrayData]
+ val numElements = arrayData.numElements()
+ val elementType = expr.dataType.asInstanceOf[ArrayType].elementType
+ val result = new Array[Double](numElements)
+ var i = 0
+ elementType match {
+ case DoubleType =>
+ while (i < numElements) { result(i) = arrayData.getDouble(i); i += 1 }
+ case FloatType =>
+ while (i < numElements) { result(i) = arrayData.getFloat(i).toDouble;
i += 1 }
+ case IntegerType =>
+ while (i < numElements) { result(i) = arrayData.getInt(i).toDouble; i
+= 1 }
+ case LongType =>
Review Comment:
ok let me look into adding this.
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