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/*
* 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.flink.table.sources.parquet;
import org.apache.flink.api.java.typeutils.ResultTypeQueryable;
import org.apache.flink.core.fs.Path;
import org.apache.flink.table.api.types.InternalType;
import org.apache.flink.table.api.types.TypeConverters;
import org.apache.flink.table.dataformat.vector.VectorizedColumnBatch;
import org.apache.hadoop.mapreduce.RecordReader;
import org.apache.parquet.filter2.predicate.FilterPredicate;
/**
* A subclass of {@link ParquetInputFormat} to read from Parquet files and convert to {@link VectorizedColumnBatch}.
*/
public class VectorizedBatchParquetInputFormat extends ParquetInputFormat<VectorizedColumnBatch, VectorizedColumnBatch>
implements ResultTypeQueryable<VectorizedColumnBatch> {
private static final long serialVersionUID = -2569974518641272330L;
public VectorizedBatchParquetInputFormat(Path filePath, InternalType[] fieldTypes, String[] fieldNames) {
super(filePath, fieldTypes, fieldNames);
}
@Override
protected VectorizedColumnBatch convert(
VectorizedColumnBatch current) {
return current;
}
@Override
public VectorizedColumnBatchTypeInfo getProducedType() {
return new VectorizedColumnBatchTypeInfo(fieldNames, TypeConverters.createExternalTypeInfoFromDataTypes(fieldTypes));
}
@Override
protected RecordReader createReader(FilterPredicate filter) {
return new ParquetVectorizedReader(fieldTypes, fieldNames);
}
}