PetarVasiljevic-DB commented on code in PR #48625:
URL: https://github.com/apache/spark/pull/48625#discussion_r1825119095
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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:
I would say it is ok as the read will fail anyways. Previously we were
reading from metadata, and whatever dimension we get there, if in table we have
a row with different dimension read will fail.
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