dejankrak-db commented on code in PR #49772:
URL: https://github.com/apache/spark/pull/49772#discussion_r1949614245
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sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveDefaultStringTypes.scala:
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@@ -18,15 +18,15 @@
package org.apache.spark.sql.catalyst.analysis
import org.apache.spark.sql.catalyst.expressions.{Cast, Expression, Literal}
-import org.apache.spark.sql.catalyst.plans.logical.{AddColumns, AlterColumns,
AlterColumnSpec, AlterViewAs, ColumnDefinition, CreateView, LogicalPlan,
QualifiedColType, ReplaceColumns, V1CreateTablePlan, V2CreateTablePlan}
+import org.apache.spark.sql.catalyst.plans.logical.{AddColumns, AlterColumns,
AlterColumnSpec, AlterTableCommand, AlterViewAs, ColumnDefinition, CreateTable,
CreateView, LogicalPlan, QualifiedColType, ReplaceColumns, V1CreateTablePlan,
V2CreateTablePlan}
import org.apache.spark.sql.catalyst.rules.{Rule, RuleExecutor}
+import org.apache.spark.sql.connector.catalog.TableCatalog
import org.apache.spark.sql.types.{DataType, StringType}
/**
* Resolves default string types in queries and commands. For queries, the
default string type is
- * determined by the session's default string type. For DDL, the default
string type is the
- * default type of the object (table -> schema -> catalog). However, this is
not implemented yet.
- * So, we will just use UTF8_BINARY for now.
+ * determined by the default string type, which is UTF8_BINARY. For DDL, the
default string type
Review Comment:
Removed the original rule and added a new one specific to DDL collation
resolution only.
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