dejankrak-db commented on code in PR #49772: URL: https://github.com/apache/spark/pull/49772#discussion_r1954134354
########## sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveDDLCommandStringTypes.scala: ########## @@ -18,80 +18,48 @@ 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.rules.{Rule, RuleExecutor} +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 +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. + * Resolves string types in DDL commands, where the string type inherits the + * collation from the corresponding object (table/view -> schema -> catalog). */ -object ResolveDefaultStringTypes extends Rule[LogicalPlan] { +object ResolveDDLCommandStringTypes extends Rule[LogicalPlan] { def apply(plan: LogicalPlan): LogicalPlan = { - val newPlan = apply0(plan) - if (plan.ne(newPlan)) { - // Due to how tree transformations work and StringType object being equal to - // StringType("UTF8_BINARY"), we need to transform the plan twice - // to ensure the correct results for occurrences of default string type. - val finalPlan = apply0(newPlan) - RuleExecutor.forceAdditionalIteration(finalPlan) - finalPlan - } else { - newPlan - } - } - - private def apply0(plan: LogicalPlan): LogicalPlan = { if (isDDLCommand(plan)) { transformDDL(plan) } else { - transformPlan(plan, sessionDefaultStringType) + // For non-DDL commands no need to do any further resolution of string types + plan } } - /** - * Returns whether any of the given `plan` needs to have its - * default string type resolved. - */ - def needsResolution(plan: LogicalPlan): Boolean = { - if (!isDDLCommand(plan) && isDefaultSessionCollationUsed) { - return false + /** Default collation used, if object level collation is not provided */ + private def defaultCollation: String = "UTF8_BINARY" + + /** Returns the string type that should be used in a given DDL command */ + private def stringTypeForDDLCommand(table: LogicalPlan): StringType = { + table match { + case createTable: CreateTable if createTable.tableSpec.collation.isDefined => + StringType(createTable.tableSpec.collation.get) + case createView: CreateView if createView.collation.isDefined => + StringType(createView.collation.get) + case alterTable: AlterTableCommand if alterTable.table.resolved => + val collation = Option(alterTable + .table.asInstanceOf[ResolvedTable] + .table.properties.get(TableCatalog.PROP_COLLATION)) + if (collation.isDefined) { + StringType(collation.get) + } else { + StringType(defaultCollation) + } + case _ => StringType(defaultCollation) Review Comment: Removed V1CreateTablePlan trait altogether, this can be handled separately in a follow up PR as discussed. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org