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A columnar file format designed for time-series data
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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.tsfile.encoding.decoder;
import org.apache.tsfile.common.conf.TSFileDescriptor;
import org.apache.tsfile.encoding.bitpacking.LongPacker;
import org.apache.tsfile.encoding.fire.LongFire;
import org.apache.tsfile.utils.ReadWriteForEncodingUtils;
import java.io.IOException;
import java.nio.ByteBuffer;
import java.util.Arrays;
public class LongSprintzDecoder extends SprintzDecoder {
LongPacker packer;
LongFire firePred;
private long preValue;
private final long[] currentBuffer;
private long currentValue;
private final String predictScheme =
TSFileDescriptor.getInstance().getConfig().getSprintzPredictScheme();
public LongSprintzDecoder() {
super();
firePred = new LongFire(3);
currentBuffer = new long[Block_size + 1];
reset();
}
@Override
public boolean hasNext(ByteBuffer buffer) throws IOException {
// int minLenth = Long.BYTES + 1;
return (isBlockReaded && currentCount < Block_size) || buffer.remaining() > 0;
}
@Override
public void reset() {
super.reset();
preValue = 0;
currentValue = 0;
currentCount = 0;
Arrays.fill(currentBuffer, 0);
}
@Override
protected void decodeBlock(ByteBuffer in) throws IOException {
bitWidth = ReadWriteForEncodingUtils.readIntLittleEndianPaddedOnBitWidth(in, 1);
if ((bitWidth & (1 << 7)) != 0) {
decodeSize = bitWidth & ~(1 << 7);
LongRleDecoder decoder = new LongRleDecoder();
for (int i = 0; i < decodeSize; i++) {
currentBuffer[i] = decoder.readLong(in);
}
} else {
decodeSize = Block_size + 1;
preValue = in.getLong();
currentBuffer[0] = preValue;
long[] tmpBuffer = new long[8];
packer = new LongPacker(bitWidth);
byte[] packcle = new byte[bitWidth];
for (int i = 0; i < bitWidth; i++) {
packcle[i] = in.get();
}
packer.unpack8Values(packcle, 0, tmpBuffer);
for (int i = 0; i < 8; i++) currentBuffer[i + 1] = tmpBuffer[i];
recalculate();
}
isBlockReaded = true;
}
@Override
protected void recalculate() {
for (int i = 1; i <= Block_size; i++) {
if (currentBuffer[i] % 2 == 0) currentBuffer[i] = -currentBuffer[i] / 2;
else currentBuffer[i] = (currentBuffer[i] + 1) / 2;
}
if (predictScheme.equals("delta")) {
for (int i = 1; i < currentBuffer.length; i++) {
currentBuffer[i] += currentBuffer[i - 1];
}
} else if (predictScheme.equals("fire")) {
firePred.reset();
for (int i = 1; i <= Block_size; i++) {
long pred = firePred.predict(currentBuffer[i - 1]);
long err = currentBuffer[i];
currentBuffer[i] = pred + err;
firePred.train(currentBuffer[i - 1], currentBuffer[i], err);
}
} else {
throw new UnsupportedOperationException("Sprintz predictive method {} is not supported.");
}
}
@Override
public long readLong(ByteBuffer buffer) {
if (!isBlockReaded) {
try {
decodeBlock(buffer);
} catch (IOException e) {
logger.error("Error occured when readInt with Sprintz Decoder.", e);
}
}
currentValue = currentBuffer[currentCount++];
if (currentCount == decodeSize) {
isBlockReaded = false;
currentCount = 0;
}
return currentValue;
}
}