/*
 * 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.inlong.sort.iceberg.sink;

import org.apache.flink.api.java.functions.KeySelector;
import org.apache.flink.table.data.RowData;
import org.apache.flink.table.types.logical.RowType;
import org.apache.iceberg.PartitionKey;
import org.apache.iceberg.PartitionSpec;
import org.apache.iceberg.Schema;
import org.apache.iceberg.flink.RowDataWrapper;
import org.apache.iceberg.flink.sink.FlinkSink;

/**
 * Create a {@link KeySelector} to shuffle by partition key, then each partition/bucket will be wrote by only one
 * task. That will reduce lots of small files in partitioned fanout write policy for {@link FlinkSink}.
 *
 * Copy from iceberg-flink:iceberg-flink-1.13:0.13.2
 */
class PartitionKeySelector implements KeySelector<RowData, String> {

    private final Schema schema;
    private final PartitionKey partitionKey;
    private final RowType flinkSchema;

    private transient RowDataWrapper rowDataWrapper;

    PartitionKeySelector(PartitionSpec spec, Schema schema, RowType flinkSchema) {
        this.schema = schema;
        this.partitionKey = new PartitionKey(spec, schema);
        this.flinkSchema = flinkSchema;
    }

    /**
     * Construct the {@link RowDataWrapper} lazily here because few members in it are not serializable. In this way, we
     * don't have to serialize them with forcing.
     */
    private RowDataWrapper lazyRowDataWrapper() {
        if (rowDataWrapper == null) {
            rowDataWrapper = new RowDataWrapper(flinkSchema, schema.asStruct());
        }
        return rowDataWrapper;
    }

    @Override
    public String getKey(RowData row) {
        partitionKey.partition(lazyRowDataWrapper().wrap(row));
        return partitionKey.toPath();
    }
}
