org.apache.iceberg.spark.source.SparkPartitionedWriter Maven / Gradle / Ivy
Go to download
Show more of this group Show more artifacts with this name
Show all versions of iceberg-spark-3.5_2.13 Show documentation
Show all versions of iceberg-spark-3.5_2.13 Show documentation
A table format for huge analytic datasets
The newest version!
/*
* 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.spark.source;
import org.apache.iceberg.FileFormat;
import org.apache.iceberg.PartitionKey;
import org.apache.iceberg.PartitionSpec;
import org.apache.iceberg.Schema;
import org.apache.iceberg.io.FileAppenderFactory;
import org.apache.iceberg.io.FileIO;
import org.apache.iceberg.io.OutputFileFactory;
import org.apache.iceberg.io.PartitionedWriter;
import org.apache.spark.sql.catalyst.InternalRow;
import org.apache.spark.sql.types.StructType;
public class SparkPartitionedWriter extends PartitionedWriter {
private final PartitionKey partitionKey;
private final InternalRowWrapper internalRowWrapper;
public SparkPartitionedWriter(
PartitionSpec spec,
FileFormat format,
FileAppenderFactory appenderFactory,
OutputFileFactory fileFactory,
FileIO io,
long targetFileSize,
Schema schema,
StructType sparkSchema) {
super(spec, format, appenderFactory, fileFactory, io, targetFileSize);
this.partitionKey = new PartitionKey(spec, schema);
this.internalRowWrapper = new InternalRowWrapper(sparkSchema, schema.asStruct());
}
@Override
protected PartitionKey partition(InternalRow row) {
partitionKey.partition(internalRowWrapper.wrap(row));
return partitionKey;
}
}