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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.data.parquet;
import java.util.List;
import java.util.Map;
import org.apache.iceberg.Schema;
import org.apache.iceberg.data.GenericRecord;
import org.apache.iceberg.data.Record;
import org.apache.iceberg.parquet.ParquetValueReader;
import org.apache.iceberg.parquet.ParquetValueReaders.StructReader;
import org.apache.iceberg.types.Types.StructType;
import org.apache.parquet.schema.MessageType;
import org.apache.parquet.schema.Type;
public class GenericParquetReaders extends BaseParquetReaders {
private static final GenericParquetReaders INSTANCE = new GenericParquetReaders();
private GenericParquetReaders() {
}
public static ParquetValueReader buildReader(Schema expectedSchema, MessageType fileSchema) {
return INSTANCE.createReader(expectedSchema, fileSchema);
}
public static ParquetValueReader buildReader(Schema expectedSchema, MessageType fileSchema,
Map idToConstant) {
return INSTANCE.createReader(expectedSchema, fileSchema, idToConstant);
}
@Override
protected ParquetValueReader createStructReader(List types, List> fieldReaders,
StructType structType) {
return new RecordReader(types, fieldReaders, structType);
}
private static class RecordReader extends StructReader {
private final GenericRecord template;
RecordReader(List types,
List> readers,
StructType struct) {
super(types, readers);
this.template = struct != null ? GenericRecord.create(struct) : null;
}
@Override
protected Record newStructData(Record reuse) {
if (reuse != null) {
return reuse;
} else {
// GenericRecord.copy() is more performant then GenericRecord.create(StructType) since NAME_MAP_CACHE access
// is eliminated. Using copy here to gain performance.
return template.copy();
}
}
@Override
protected Object getField(Record intermediate, int pos) {
return intermediate.get(pos);
}
@Override
protected Record buildStruct(Record struct) {
return struct;
}
@Override
protected void set(Record struct, int pos, Object value) {
struct.set(pos, value);
}
}
}
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