org.apache.paimon.arrow.converter.ArrowPerRowBatchConverter Maven / Gradle / Ivy
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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.paimon.arrow.converter;
import org.apache.paimon.arrow.writer.ArrowFieldWriter;
import org.apache.paimon.data.InternalRow;
import org.apache.paimon.reader.RecordReader;
import org.apache.arrow.vector.VectorSchemaRoot;
import java.io.IOException;
import java.io.UncheckedIOException;
/** To convert iterator row by row. */
public class ArrowPerRowBatchConverter extends ArrowBatchConverter {
private InternalRow currentRow;
public ArrowPerRowBatchConverter(VectorSchemaRoot root, ArrowFieldWriter[] fieldWriters) {
super(root, fieldWriters);
}
@Override
public void doWrite(int maxBatchRows) {
int rowIndex = 0;
while (currentRow != null && rowIndex < maxBatchRows) {
for (int i = 0; i < fieldWriters.length; i++) {
fieldWriters[i].write(rowIndex, currentRow, i);
}
nextRow();
rowIndex++;
}
root.setRowCount(rowIndex);
if (currentRow == null) {
releaseIterator();
}
}
public void reset(RecordReader.RecordIterator iterator) {
this.iterator = iterator;
nextRow();
}
private void nextRow() {
try {
currentRow = iterator.next();
} catch (IOException e) {
throw new UncheckedIOException(e);
}
}
}
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