flink/v1.16/flink/src/main/java/org/apache/iceberg/flink/sink/PartitionKeySelector.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.iceberg.flink.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;

/**
 * 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}.
 */
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();
  }
}