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Posted to commits@hudi.apache.org by "Zouxxyy (via GitHub)" <gi...@apache.org> on 2023/02/01 08:51:20 UTC
[GitHub] [hudi] Zouxxyy commented on a diff in pull request #6213: [HUDI-4081][HUDI-4472] Addressing Spark SQL vs Spark DS performance gap
Zouxxyy commented on code in PR #6213:
URL: https://github.com/apache/hudi/pull/6213#discussion_r1092922996
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hudi-spark-datasource/hudi-spark2/src/main/scala/org/apache/spark/sql/HoodieSpark2CatalystPlanUtils.scala:
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@@ -18,14 +18,22 @@
package org.apache.spark.sql
import org.apache.spark.sql.catalyst.{AliasIdentifier, TableIdentifier}
-import org.apache.spark.sql.catalyst.analysis.UnresolvedRelation
-import org.apache.spark.sql.catalyst.expressions.{Expression, Like}
+import org.apache.spark.sql.catalyst.analysis.{SimpleAnalyzer, UnresolvedRelation}
+import org.apache.spark.sql.catalyst.expressions.{Attribute, Expression, Like}
import org.apache.spark.sql.catalyst.plans.JoinType
import org.apache.spark.sql.catalyst.plans.logical.{InsertIntoTable, Join, LogicalPlan}
import org.apache.spark.sql.execution.command.ExplainCommand
+import org.apache.spark.sql.internal.SQLConf
object HoodieSpark2CatalystPlanUtils extends HoodieCatalystPlansUtils {
+ def resolveOutputColumns(tableName: String,
+ expected: Seq[Attribute],
+ query: LogicalPlan,
+ byName: Boolean,
+ conf: SQLConf): LogicalPlan =
+ SimpleAnalyzer.ResolveOutputRelation.resolveOutputColumns(tableName, expected, query, byName)
Review Comment:
Hi, @alexeykudinkin
I compared the implementation of spark2 and spark3 here, and there are differences between them.
For the case of declimal to double, spark2 here will throw like `Cannot safely cast 'price': DecimalType(x,x) to DoubleType`,
But spark3 will not, because It adds a parameter `storeAssignmentPolicy`, and its default value is ANSI, which will skip the check, and it points out that spark2 should maintain `legacy` semantics, and should skip the check too.
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