org.apache.parquet.column.statistics.DoubleStatistics Maven / Gradle / Ivy
/*
* 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.statistics;
import org.apache.parquet.bytes.BytesUtils;
import org.apache.parquet.schema.PrimitiveType;
import org.apache.parquet.schema.Types;
public class DoubleStatistics extends Statistics {
// A fake type object to be used to generate the proper comparator
private static final PrimitiveType DEFAULT_FAKE_TYPE =
Types.optional(PrimitiveType.PrimitiveTypeName.DOUBLE).named("fake_double_type");
private double max;
private double min;
/**
* @deprecated will be removed in 2.0.0. Use {@link Statistics#createStats(org.apache.parquet.schema.Type)} instead
*/
@Deprecated
public DoubleStatistics() {
this(DEFAULT_FAKE_TYPE);
}
DoubleStatistics(PrimitiveType type) {
super(type);
}
private DoubleStatistics(DoubleStatistics other) {
super(other.type());
if (other.hasNonNullValue()) {
initializeStats(other.min, other.max);
}
setNumNulls(other.getNumNulls());
}
@Override
public void updateStats(double value) {
if (!this.hasNonNullValue()) {
initializeStats(value, value);
} else {
updateStats(value, value);
}
}
@Override
public void mergeStatisticsMinMax(Statistics stats) {
DoubleStatistics doubleStats = (DoubleStatistics) stats;
if (!this.hasNonNullValue()) {
initializeStats(doubleStats.getMin(), doubleStats.getMax());
} else {
updateStats(doubleStats.getMin(), doubleStats.getMax());
}
}
@Override
public void setMinMaxFromBytes(byte[] minBytes, byte[] maxBytes) {
max = Double.longBitsToDouble(BytesUtils.bytesToLong(maxBytes));
min = Double.longBitsToDouble(BytesUtils.bytesToLong(minBytes));
this.markAsNotEmpty();
}
@Override
public byte[] getMaxBytes() {
return BytesUtils.longToBytes(Double.doubleToLongBits(max));
}
@Override
public byte[] getMinBytes() {
return BytesUtils.longToBytes(Double.doubleToLongBits(min));
}
@Override
String stringify(Double value) {
return stringifier.stringify(value);
}
@Override
public boolean isSmallerThan(long size) {
return !hasNonNullValue() || (16 < size);
}
public void updateStats(double min_value, double max_value) {
if (comparator().compare(min, min_value) > 0) {
min = min_value;
}
if (comparator().compare(max, max_value) < 0) {
max = max_value;
}
}
public void initializeStats(double min_value, double max_value) {
min = min_value;
max = max_value;
this.markAsNotEmpty();
}
@Override
public Double genericGetMin() {
return min;
}
@Override
public Double genericGetMax() {
return max;
}
public int compareMinToValue(double value) {
return comparator().compare(min, value);
}
public int compareMaxToValue(double value) {
return comparator().compare(max, value);
}
public double getMax() {
return max;
}
public double getMin() {
return min;
}
public void setMinMax(double min, double max) {
this.max = max;
this.min = min;
this.markAsNotEmpty();
}
@Override
public DoubleStatistics copy() {
return new DoubleStatistics(this);
}
}