aokolnychyi commented on code in PR #50253: URL: https://github.com/apache/spark/pull/50253#discussion_r2019388447
########## sql/catalyst/src/main/java/org/apache/spark/sql/connector/catalog/constraints/Check.java: ########## @@ -0,0 +1,132 @@ +/* + * 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.connector.catalog.constraints; + +import java.util.Map; +import java.util.Objects; + +import org.apache.spark.SparkIllegalArgumentException; +import org.apache.spark.sql.connector.expressions.filter.Predicate; + +/** + * A CHECK constraint. + * <p> + * A CHECK constraint defines a condition each row in a table must satisfy. Connectors can define + * such constraints either in SQL (Spark SQL dialect) or using a {@link Predicate predicate} if the + * condition can be expressed using a supported expression. A CHECK constraint can reference one or + * more columns. Such constraint is considered violated if its condition evaluates to {@code FALSE}, + * but not {@code NULL}. The search condition must be deterministic and cannot contain subqueries + * and certain functions like aggregates or UDFs. + * <p> + * Spark supports enforced and not enforced CHECK constraints, allowing connectors to control + * whether data modifications that violate the constraint must fail. Each constraint is either + * valid (the existing data is guaranteed to satisfy the constraint), invalid (some records violate + * the constraint), or unvalidated (the validity is unknown). If the validity is unknown, Spark + * will check {@link #rely()} to see whether the constraint is believed to be true and can be used + * for query optimization. + * + * @since 4.1.0 + */ +public class Check extends BaseConstraint { + + private final String predicateSQL; + private final Predicate predicate; + + private Check( + String name, + String predicateSQL, + Predicate predicate, + boolean enforced, + ValidationStatus validationStatus, + boolean rely) { + super(name, enforced, validationStatus, rely); + this.predicateSQL = predicateSQL; + this.predicate = predicate; + } + + /** + * Returns the SQL representation of the search condition (Spark SQL dialect). + */ + public String predicateSQL() { Review Comment: I have no preference, the current codebase is fairly inconsistent, but a few connector APIs do use `sql`. I switched. -- 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
