io.trino.orc.metadata.statistics.BinaryStatisticsBuilder Maven / Gradle / Ivy
/*
* Licensed 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 io.trino.orc.metadata.statistics;
import io.airlift.slice.Slice;
import java.util.List;
import java.util.Optional;
import static com.google.common.base.Verify.verify;
import static io.trino.orc.metadata.statistics.BinaryStatistics.BINARY_VALUE_BYTES_OVERHEAD;
import static java.util.Objects.requireNonNull;
public class BinaryStatisticsBuilder
implements SliceColumnStatisticsBuilder
{
private long nonNullValueCount;
private long sum;
@Override
public void addValue(Slice value)
{
requireNonNull(value, "value is null");
sum += value.length();
nonNullValueCount++;
}
private Optional buildBinaryStatistics()
{
if (nonNullValueCount == 0) {
return Optional.empty();
}
return Optional.of(new BinaryStatistics(sum));
}
private void addBinaryStatistics(long valueCount, BinaryStatistics value)
{
requireNonNull(value, "value is null");
nonNullValueCount += valueCount;
sum += value.getSum();
}
@Override
public ColumnStatistics buildColumnStatistics()
{
Optional binaryStatistics = buildBinaryStatistics();
binaryStatistics.ifPresent(s -> verify(nonNullValueCount > 0));
return new ColumnStatistics(
nonNullValueCount,
binaryStatistics.map(s -> BINARY_VALUE_BYTES_OVERHEAD + sum / nonNullValueCount).orElse(0L),
null,
null,
null,
null,
null,
null,
null,
null,
binaryStatistics.orElse(null),
null);
}
public static Optional mergeBinaryStatistics(List stats)
{
BinaryStatisticsBuilder binaryStatisticsBuilder = new BinaryStatisticsBuilder();
for (ColumnStatistics columnStatistics : stats) {
BinaryStatistics partialStatistics = columnStatistics.getBinaryStatistics();
if (columnStatistics.getNumberOfValues() > 0) {
if (partialStatistics == null) {
// there are non null values but no statistics, so we cannot say anything about the data
return Optional.empty();
}
binaryStatisticsBuilder.addBinaryStatistics(columnStatistics.getNumberOfValues(), partialStatistics);
}
}
return binaryStatisticsBuilder.buildBinaryStatistics();
}
}
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