cloud-fan commented on a change in pull request #25453: [WIP][SPARK-28730][SQL] Configurable type coercion policy for table insertion URL: https://github.com/apache/spark/pull/25453#discussion_r315509392
########## File path: sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/TableOutputResolver.scala ########## @@ -0,0 +1,117 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one or more + * contributor license agreements. See the NOTICE file distributed with + * this work for additional information regarding copyright ownership. + * The ASF licenses this file to You under the Apache License, Version 2.0 + * (the "License"); you may not use this file except in compliance with + * the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.spark.sql.catalyst.analysis + +import scala.collection.mutable + +import org.apache.spark.sql.AnalysisException +import org.apache.spark.sql.catalyst.expressions.{Alias, Attribute, Cast, NamedExpression, UpCast} +import org.apache.spark.sql.catalyst.plans.logical.{LogicalPlan, Project} +import org.apache.spark.sql.internal.SQLConf +import org.apache.spark.sql.internal.SQLConf.StoreAssignmentPolicy +import org.apache.spark.sql.types.DataType + +object TableOutputResolver { + def resolveOutputColumns( + tableName: String, + expected: Seq[Attribute], + query: LogicalPlan, + byName: Boolean, + conf: SQLConf): LogicalPlan = { + + if (expected.size < query.output.size) { + throw new AnalysisException( + s"""Cannot write to '$tableName', too many data columns: + |Table columns: ${expected.map(c => s"'${c.name}'").mkString(", ")} + |Data columns: ${query.output.map(c => s"'${c.name}'").mkString(", ")}""".stripMargin) + } + + val errors = new mutable.ArrayBuffer[String]() + val resolved: Seq[NamedExpression] = if (byName) { + expected.flatMap { tableAttr => + query.resolveQuoted(tableAttr.name, conf.resolver) match { + case Some(queryExpr) => + checkField(tableAttr, queryExpr, byName, conf, err => errors += err) + case None => + errors += s"Cannot find data for output column '${tableAttr.name}'" + None + } + } + + } else { + if (expected.size > query.output.size) { + throw new AnalysisException( + s"""Cannot write to '$tableName', not enough data columns: + |Table columns: ${expected.map(c => s"'${c.name}'").mkString(", ")} + |Data columns: ${query.output.map(c => s"'${c.name}'").mkString(", ")}""" + .stripMargin) + } + + query.output.zip(expected).flatMap { + case (queryExpr, tableAttr) => + checkField(tableAttr, queryExpr, byName, conf, err => errors += err) + } + } + + if (errors.nonEmpty) { + throw new AnalysisException( + s"Cannot write incompatible data to table '$tableName':\n- ${errors.mkString("\n- ")}") + } + + Project(resolved, query) + } + + private def checkField( + tableAttr: Attribute, + queryExpr: NamedExpression, + byName: Boolean, + conf: SQLConf, + addError: String => Unit): Option[NamedExpression] = { + + val useStrictRules = conf.storeAssignmentPolicy == StoreAssignmentPolicy.STRICT Review comment: what "rules" mean here? From the code we are applying the STRICT rule here. If you want to represent "non-legacy rules", I think it's better to write ``` val isLegacyMode = conf.storeAssignmentPolicy == StoreAssignmentPolicy.LEGACY ... ``` ---------------------------------------------------------------- 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. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
