aokolnychyi commented on code in PR #50253: URL: https://github.com/apache/spark/pull/50253#discussion_r2006450589
########## sql/catalyst/src/main/java/org/apache/spark/sql/connector/catalog/constraints/Check.java: ########## @@ -0,0 +1,90 @@ +/* + * 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 org.apache.spark.sql.connector.expressions.filter.Predicate; + +import java.util.Objects; + +/** + * 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} + * (not {@code NULL}). The search condition must be deterministic and cannot contain subqueries and + * certain functions like aggregates. Review Comment: It is up to us in the implementation to decide what to support. I feel this topic should be discussed a bit more. For now, I added UDFs to the list of unsupported examples. ########## sql/catalyst/src/main/java/org/apache/spark/sql/connector/catalog/constraints/Check.java: ########## @@ -0,0 +1,90 @@ +/* + * 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 org.apache.spark.sql.connector.expressions.filter.Predicate; + +import java.util.Objects; + +/** + * 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} + * (not {@code NULL}). The search condition must be deterministic and cannot contain subqueries and + * certain functions like aggregates. Review Comment: It is up to us in the implementation to decide what to support. I feel this topic should be discussed a bit more. For now, I added UDFs to the list of unsupported examples. Let's refine as we go. -- 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
