Github user hvanhovell commented on a diff in the pull request:
https://github.com/apache/spark/pull/16168#discussion_r91064615
--- Diff:
sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveMetastoreCatalog.scala ---
@@ -126,6 +146,55 @@ private[hive] class HiveMetastoreCatalog(sparkSession:
SparkSession) extends Log
}
}
+ /**
+ * Apply Projection on unresolved logical plan to:
+ * 1. Omit the columns which are not referenced by the view;
+ * 2. Reorder the columns to keep the same order with the view;
+ */
+ private def withProjection(plan: LogicalPlan, schema: StructType):
LogicalPlan = {
+ // All fields in schema should exist in plan.schema, or we should
throw an AnalysisException
+ // to notify the underlying schema has been changed.
+ if (schema.fields.forall { field =>
+ plan.schema.fields.exists(other => compareStructField(field,
other))}) {
+ val output = schema.fields.map { field =>
+ plan.output.find { expr =>
+ expr.name == field.name && expr.dataType ==
field.dataType}.getOrElse(
--- End diff --
This is a case-sensitive match; spark's default is case-insensitive
matching. Please use a resolver for such a check.
A more general thought is that we really should leverage the analyzer's
capabilities here.
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