Stefanietry commented on code in PR #8068:
URL: https://github.com/apache/paimon/pull/8068#discussion_r3340126664
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paimon-spark/paimon-spark-common/src/main/scala/org/apache/paimon/spark/PaimonSparkTableBase.scala:
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@@ -118,6 +118,9 @@ abstract class PaimonSparkTableBase(val table: Table)
_metadataColumns.append(PaimonMetadataColumn.ROW_ID)
_metadataColumns.append(PaimonMetadataColumn.SEQUENCE_NUMBER)
}
+ if (!coreOptions.vectorField().isEmpty) {
+ _metadataColumns.append(PaimonMetadataColumn.VECTOR_SEARCH_SCORE)
Review Comment:
Thanks for your clarification, as suggested, the judgment condition has been
changed to :
`if (table.isInstanceOf[VectorSearchTable]) {
_metadataColumns.append(PaimonMetadataColumn.VECTOR_SEARCH_SCORE)
}`
If process a normal query as shown above, an error will occur during the
analysis phase. The specific error message is as follows:
org.apache.spark.sql.AnalysisException: cannot resolve
'__paimon_vector_search_score' given input columns:
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