[GitHub] [spark] rdblue commented on a change in pull request #24469: [SPARK-27576][SQL] table capability to skip the output column resolution

[GitBox <gi...@apache.org>]

rdblue commented on a change in pull request #24469: [SPARK-27576][SQL] table capability to skip the output column resolution
URL: https://github.com/apache/spark/pull/24469#discussion_r280121827
 
 

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 File path: sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/NamedRelation.scala
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 @@ -21,4 +21,7 @@ import org.apache.spark.sql.catalyst.plans.logical.LogicalPlan
 
 trait NamedRelation extends LogicalPlan {
   def name: String
+
+  // When true, the schema of input data must match the schema of this relation, during write.
+  def requireSchemaMatch: Boolean = true
 
 Review comment:
   I agree that the "ignore" form is better.
   
   I don't think that the term "schema match" is clear though, because it is not obvious what "match" means. What about `skipSchemaResolution` or `skipSchemaValidation`?

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