PartitionColumnStatisticBuilder.java
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// 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
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// KIND, either express or implied. See the License for the
// specific language governing permissions and limitations
// under the License.
package org.apache.doris.statistics;
import org.apache.doris.analysis.LiteralExpr;
import org.apache.doris.statistics.util.Hll128;
public class PartitionColumnStatisticBuilder {
private double count;
private Hll128 ndv;
private double avgSizeByte;
private double numNulls;
private double dataSize;
private double minValue = Double.NEGATIVE_INFINITY;
private double maxValue = Double.POSITIVE_INFINITY;
private LiteralExpr minExpr;
private LiteralExpr maxExpr;
private boolean isUnknown;
private String updatedTime;
public PartitionColumnStatisticBuilder() {
}
public PartitionColumnStatisticBuilder(PartitionColumnStatistic statistic) {
this.count = statistic.count;
this.ndv = statistic.ndv;
this.avgSizeByte = statistic.avgSizeByte;
this.numNulls = statistic.numNulls;
this.dataSize = statistic.dataSize;
this.minValue = statistic.minValue;
this.maxValue = statistic.maxValue;
this.minExpr = statistic.minExpr;
this.maxExpr = statistic.maxExpr;
this.isUnknown = statistic.isUnKnown;
this.updatedTime = statistic.updatedTime;
}
// ATTENTION: DON'T USE FOLLOWING TWO DURING STATS DERIVING EXCEPT FOR INITIALIZATION
public PartitionColumnStatisticBuilder(double count) {
this.count = count;
}
public PartitionColumnStatisticBuilder setNdv(Hll128 ndv) {
this.ndv = ndv;
return this;
}
public PartitionColumnStatisticBuilder setAvgSizeByte(double avgSizeByte) {
this.avgSizeByte = avgSizeByte;
return this;
}
public PartitionColumnStatisticBuilder setNumNulls(double numNulls) {
this.numNulls = numNulls;
return this;
}
public PartitionColumnStatisticBuilder setDataSize(double dataSize) {
this.dataSize = dataSize;
return this;
}
public PartitionColumnStatisticBuilder setMinValue(double minValue) {
this.minValue = minValue;
return this;
}
public PartitionColumnStatisticBuilder setMaxValue(double maxValue) {
this.maxValue = maxValue;
return this;
}
public PartitionColumnStatisticBuilder setMinExpr(LiteralExpr minExpr) {
this.minExpr = minExpr;
return this;
}
public PartitionColumnStatisticBuilder setMaxExpr(LiteralExpr maxExpr) {
this.maxExpr = maxExpr;
return this;
}
public PartitionColumnStatisticBuilder setIsUnknown(boolean isUnknown) {
this.isUnknown = isUnknown;
return this;
}
public PartitionColumnStatisticBuilder setUpdatedTime(String updatedTime) {
this.updatedTime = updatedTime;
return this;
}
public double getCount() {
return count;
}
public Hll128 getNdv() {
return ndv;
}
public double getAvgSizeByte() {
return avgSizeByte;
}
public double getNumNulls() {
return numNulls;
}
public double getDataSize() {
return dataSize;
}
public double getMinValue() {
return minValue;
}
public double getMaxValue() {
return maxValue;
}
public LiteralExpr getMinExpr() {
return minExpr;
}
public LiteralExpr getMaxExpr() {
return maxExpr;
}
public boolean isUnknown() {
return isUnknown;
}
public String getUpdatedTime() {
return updatedTime;
}
public PartitionColumnStatistic build() {
dataSize = dataSize > 0 ? dataSize : Math.max((count - numNulls + 1) * avgSizeByte, 0);
return new PartitionColumnStatistic(count, ndv, avgSizeByte, numNulls,
dataSize, minValue, maxValue, minExpr, maxExpr,
isUnknown, updatedTime);
}
public PartitionColumnStatisticBuilder merge(PartitionColumnStatistic other) {
count += other.count;
ndv.merge(other.ndv);
numNulls += other.numNulls;
if (minValue > other.minValue) {
minValue = other.minValue;
minExpr = other.minExpr;
}
if (maxValue < other.maxValue) {
maxValue = other.maxValue;
maxExpr = other.maxExpr;
}
isUnknown = isUnknown && other.isUnKnown;
return this;
}
public ColumnStatistic toColumnStatistics() {
return new ColumnStatistic(count, ndv.estimateCardinality(), null,
avgSizeByte, numNulls, dataSize, minValue, maxValue, minExpr, maxExpr, isUnknown, updatedTime);
}
}