spark SupportsOverwriteV2 源码
spark SupportsOverwriteV2 代码
文件路径：/sql/catalyst/src/main/java/org/apache/spark/sql/connector/write/SupportsOverwriteV2.java
/*
* 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.write;
import org.apache.spark.annotation.Evolving;
import org.apache.spark.sql.connector.expressions.filter.AlwaysTrue;
import org.apache.spark.sql.connector.expressions.filter.Predicate;
/**
* Write builder trait for tables that support overwrite by filter.
* <p>
* Overwriting data by filter will delete any data that matches the filter and replace it with data
* that is committed in the write.
*
* @since 3.4.0
*/
@Evolving
public interface SupportsOverwriteV2 extends WriteBuilder, SupportsTruncate {
/**
* Checks whether it is possible to overwrite data from a data source table that matches filter
* expressions.
* <p>
* Rows should be overwritten from the data source iff all of the filter expressions match.
* That is, the expressions must be interpreted as a set of filters that are ANDed together.
*
* @param predicates V2 filter expressions, used to match data to overwrite
* @return true if the delete operation can be performed
*
* @since 3.4.0
*/
default boolean canOverwrite(Predicate[] predicates) {
return true;
}
/**
* Configures a write to replace data matching the filters with data committed in the write.
* <p>
* Rows must be deleted from the data source if and only if all of the filters match. That is,
* filters must be interpreted as ANDed together.
*
* @param predicates filters used to match data to overwrite
* @return this write builder for method chaining
*/
WriteBuilder overwrite(Predicate[] predicates);
@Override
default WriteBuilder truncate() {
return overwrite(new Predicate[] { new AlwaysTrue() });
}
}
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