/*
 * 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.paimon.table.source.splitread;

import org.apache.paimon.io.DataFileMeta;
import org.apache.paimon.operation.RawFileSplitRead;
import org.apache.paimon.table.source.DataSplit;
import org.apache.paimon.table.source.Split;

import java.util.function.Supplier;

/** Raw file split read for all primary key table. */
public class PrimaryKeyTableRawFileSplitReadProvider extends RawFileSplitReadProvider {

    public PrimaryKeyTableRawFileSplitReadProvider(
            Supplier<RawFileSplitRead> supplier, SplitReadConfig splitReadConfig) {
        super(supplier, splitReadConfig);
    }

    @Override
    public boolean match(Split split, Context context) {
        if (!(split instanceof DataSplit)) {
            return false;
        }
        DataSplit dataSplit = (DataSplit) split;
        boolean matched =
                !context.forceKeepDelete()
                        && !dataSplit.isStreaming()
                        && dataSplit.rawConvertible();
        if (matched) {
            // for legacy version, we are not sure if there are delete rows, but in order to be
            // compatible with the query acceleration of the OLAP engine, we have generated raw
            // files.
            // Here, for the sake of correctness, we still need to perform drop delete filtering.
            for (DataFileMeta file : dataSplit.dataFiles()) {
                if (!file.deleteRowCount().isPresent()) {
                    return false;
                }
            }
        }
        return matched;
    }
}
