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/*
 * 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.flink.sink;

import org.apache.paimon.data.InternalRow;
import org.apache.paimon.schema.TableSchema;
import org.apache.paimon.table.sink.ChannelComputer;
import org.apache.paimon.table.sink.RowPartitionKeyExtractor;

import org.apache.flink.api.java.tuple.Tuple2;
import org.apache.flink.table.data.RowData;

/** Hash key of a {@link RowData} with bucket. */
public class RowWithBucketChannelComputer implements ChannelComputer> {

    private static final long serialVersionUID = 1L;

    private final TableSchema schema;

    private transient int numChannels;
    private transient RowPartitionKeyExtractor extractor;

    public RowWithBucketChannelComputer(TableSchema schema) {
        this.schema = schema;
    }

    @Override
    public void setup(int numChannels) {
        this.numChannels = numChannels;
        this.extractor = new RowPartitionKeyExtractor(schema);
    }

    @Override
    public int channel(Tuple2 record) {
        return ChannelComputer.select(extractor.partition(record.f0), record.f1, numChannels);
    }

    @Override
    public String toString() {
        return "shuffle by partition & bucket";
    }
}