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A table format for huge analytic datasets
/*
* 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 java.io.IOException;
import java.util.Set;
import org.apache.iceberg.FileFormat;
import org.apache.iceberg.PartitionSpec;
import org.apache.iceberg.Schema;
import org.apache.iceberg.io.FileIO;
import org.apache.iceberg.relocated.com.google.common.collect.Iterables;
import org.apache.iceberg.relocated.com.google.common.collect.Sets;
import org.apache.spark.sql.catalyst.InternalRow;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
class PartitionedWriter extends BaseWriter {
private static final Logger LOG = LoggerFactory.getLogger(PartitionedWriter.class);
private final PartitionKey key;
private final Set completedPartitions = Sets.newHashSet();
PartitionedWriter(PartitionSpec spec, FileFormat format, SparkAppenderFactory appenderFactory,
OutputFileFactory fileFactory, FileIO io, long targetFileSize, Schema writeSchema) {
super(spec, format, appenderFactory, fileFactory, io, targetFileSize);
this.key = new PartitionKey(spec, writeSchema);
}
@Override
public void write(InternalRow row) throws IOException {
key.partition(row);
PartitionKey currentKey = getCurrentKey();
if (!key.equals(currentKey)) {
closeCurrent();
completedPartitions.add(currentKey);
if (completedPartitions.contains(key)) {
// if rows are not correctly grouped, detect and fail the write
PartitionKey existingKey = Iterables.find(completedPartitions, key::equals, null);
LOG.warn("Duplicate key: {} == {}", existingKey, key);
throw new IllegalStateException("Already closed files for partition: " + key.toPath());
}
setCurrentKey(key.copy());
openCurrent();
}
writeInternal(row);
}
}
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