cloud-fan commented on code in PR #48625:
URL: https://github.com/apache/spark/pull/48625#discussion_r1824994670
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sql/core/src/main/scala/org/apache/spark/sql/jdbc/PostgresDialect.scala:
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@@ -382,18 +382,42 @@ private case class PostgresDialect()
case Types.ARRAY =>
val tableName = rsmd.getTableName(columnIdx)
val columnName = rsmd.getColumnName(columnIdx)
- val query =
- s"""
- |SELECT pg_attribute.attndims
- |FROM pg_attribute
- | JOIN pg_class ON pg_attribute.attrelid = pg_class.oid
- | JOIN pg_namespace ON pg_class.relnamespace = pg_namespace.oid
- |WHERE pg_class.relname = '$tableName' and pg_attribute.attname =
'$columnName'
- |""".stripMargin
+
+ /*
+ Spark does not support different dimensionality per row, therefore we
retrieve the
Review Comment:
If the pgsql table was not created and inserted by Spark, it's possible that
values in different rows have different dimensionality, right? In that case, is
it really ok to get dimensionality from the first row?
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