blob: 7af3790bc7191b754724160d7601769e779add9e [file] [log] [blame]
/*
* 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.iotdb.tsfile.read.common.block.column;
import org.apache.iotdb.tsfile.file.metadata.enums.TSDataType;
import java.io.DataOutputStream;
import java.io.IOException;
import java.nio.ByteBuffer;
public class Int64ArrayColumnEncoder implements ColumnEncoder {
@Override
public TimeColumn readTimeColumn(ByteBuffer input, int positionCount) {
// Serialized data layout:
// +---------------+-----------------+-------------+
// | may have null | null indicators | values |
// +---------------+-----------------+-------------+
// | byte | list[byte] | list[int64] |
// +---------------+-----------------+-------------+
boolean[] nullIndicators = ColumnEncoder.deserializeNullIndicators(input, positionCount);
long[] values = new long[positionCount];
if (nullIndicators == null) {
for (int i = 0; i < positionCount; i++) {
values[i] = input.getLong();
}
return new TimeColumn(0, positionCount, values);
} else {
throw new IllegalArgumentException("TimeColumn should not contain null values.");
}
}
@Override
public Column readColumn(ByteBuffer input, TSDataType dataType, int positionCount) {
// Serialized data layout:
// +---------------+-----------------+-------------+
// | may have null | null indicators | values |
// +---------------+-----------------+-------------+
// | byte | list[byte] | list[int64] |
// +---------------+-----------------+-------------+
boolean[] nullIndicators = ColumnEncoder.deserializeNullIndicators(input, positionCount);
if (TSDataType.INT64.equals(dataType)) {
long[] values = new long[positionCount];
if (nullIndicators == null) {
for (int i = 0; i < positionCount; i++) {
values[i] = input.getLong();
}
} else {
for (int i = 0; i < positionCount; i++) {
if (!nullIndicators[i]) {
values[i] = input.getLong();
}
}
}
return new LongColumn(0, positionCount, nullIndicators, values);
} else if (TSDataType.DOUBLE.equals(dataType)) {
double[] values = new double[positionCount];
if (nullIndicators == null) {
for (int i = 0; i < positionCount; i++) {
values[i] = Double.longBitsToDouble(input.getLong());
}
} else {
for (int i = 0; i < positionCount; i++) {
if (!nullIndicators[i]) {
values[i] = Double.longBitsToDouble(input.getLong());
}
}
}
return new DoubleColumn(0, positionCount, nullIndicators, values);
} else {
throw new IllegalArgumentException("Invalid data type: " + dataType);
}
}
@Override
public void writeColumn(DataOutputStream output, Column column) throws IOException {
ColumnEncoder.serializeNullIndicators(output, column);
TSDataType dataType = column.getDataType();
int positionCount = column.getPositionCount();
if (TSDataType.INT64.equals(dataType)) {
for (int i = 0; i < positionCount; i++) {
if (!column.isNull(i)) {
output.writeLong(column.getLong(i));
}
}
} else if (TSDataType.DOUBLE.equals(dataType)) {
for (int i = 0; i < positionCount; i++) {
if (!column.isNull(i)) {
output.writeLong(Double.doubleToLongBits(column.getDouble(i)));
}
}
} else {
throw new IllegalArgumentException("Invalid data type: " + dataType);
}
}
}