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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.parquet.column.values.bytestreamsplit;
import java.io.IOException;
import java.nio.ByteBuffer;
import java.nio.ByteOrder;
import org.apache.parquet.bytes.ByteBufferInputStream;
import org.apache.parquet.column.values.ValuesReader;
import org.apache.parquet.io.ParquetDecodingException;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
public abstract class ByteStreamSplitValuesReader extends ValuesReader {
private static final Logger LOG = LoggerFactory.getLogger(ByteStreamSplitValuesReader.class);
protected final int elementSizeInBytes;
protected ByteBuffer decodedDataBuffer;
private int indexInStream;
private int valuesCount;
protected ByteStreamSplitValuesReader(int elementSizeInBytes) {
this.elementSizeInBytes = elementSizeInBytes;
this.indexInStream = 0;
this.valuesCount = 0;
}
protected int nextElementByteOffset() {
if (indexInStream >= valuesCount) {
throw new ParquetDecodingException("Byte-stream data was already exhausted.");
}
int offset = indexInStream * elementSizeInBytes;
++indexInStream;
return offset;
}
// Decode an entire data page
private byte[] decodeData(ByteBuffer encoded, int valuesCount) {
assert encoded.limit() == valuesCount * elementSizeInBytes;
byte[] decoded = new byte[encoded.limit()];
int destByteIndex = 0;
for (int srcValueIndex = 0; srcValueIndex < valuesCount; ++srcValueIndex) {
for (int stream = 0; stream < elementSizeInBytes; ++stream, ++destByteIndex) {
decoded[destByteIndex] = encoded.get(srcValueIndex + stream * valuesCount);
}
}
assert destByteIndex == decoded.length;
return decoded;
}
@Override
public void initFromPage(int valuesCount, ByteBufferInputStream stream)
throws ParquetDecodingException, IOException {
LOG.debug("init from page at offset {} for length {}", stream.position(), stream.available());
// ByteStreamSplitValuesWriter does not write number of encoded values to the stream. As the parquet
// specs state that no padding is allowed inside a data page, we can infer the number of values solely
// by dividing the number of bytes in the stream by the size of each element.
if (stream.available() % elementSizeInBytes != 0) {
String errorMessage = String.format(
"Invalid ByteStreamSplit stream, total length: %d bytes, element size: %d bytes.",
stream.available(), elementSizeInBytes);
throw new ParquetDecodingException(errorMessage);
}
this.valuesCount = stream.available() / elementSizeInBytes;
// The input valuesCount includes number of nulls. It is used for an upperbound check only.
if (valuesCount < this.valuesCount) {
String errorMessage = String.format(
"Invalid ByteStreamSplit stream, num values upper bound (w/ nulls): %d, num encoded values: %d",
valuesCount, this.valuesCount);
throw new ParquetDecodingException(errorMessage);
}
// Eagerly read and decode the data. This allows returning stable
// Binary views into the internal decode buffer for FIXED_LEN_BYTE_ARRAY.
final int totalSizeInBytes = stream.available();
final ByteBuffer encodedData = stream.slice(totalSizeInBytes).slice(); // possibly zero-copy
final byte[] decodedData = decodeData(encodedData, this.valuesCount);
decodedDataBuffer = ByteBuffer.wrap(decodedData).order(ByteOrder.LITTLE_ENDIAN);
indexInStream = 0;
}
@Override
public void skip() {
skip(1);
}
@Override
public void skip(int n) {
if (n < 0 || indexInStream + n > valuesCount) {
String errorMessage = String.format(
"Cannot skip this many elements. Current index: %d. Skip %d. Total number of elements: %d",
indexInStream, n, valuesCount);
throw new ParquetDecodingException(errorMessage);
}
indexInStream += n;
}
}