use of io.airlift.stats.QuantileDigest in project presto by prestodb.
the class ApproximateRealPercentileAggregations method output.
@OutputFunction(StandardTypes.REAL)
public static void output(@AggregationState DigestAndPercentileState state, BlockBuilder out) {
QuantileDigest digest = state.getDigest();
double percentile = state.getPercentile();
if (digest == null || digest.getCount() == 0.0) {
out.appendNull();
} else {
checkState(percentile != -1.0, "Percentile is missing");
checkCondition(0 <= percentile && percentile <= 1, INVALID_FUNCTION_ARGUMENT, "Percentile must be between 0 and 1");
REAL.writeLong(out, floatToRawIntBits(sortableIntToFloat((int) digest.getQuantile(percentile))));
}
}
use of io.airlift.stats.QuantileDigest in project presto by prestodb.
the class ApproximateRealPercentileArrayAggregations method output.
@OutputFunction("array(real)")
public static void output(@AggregationState DigestAndPercentileArrayState state, BlockBuilder out) {
QuantileDigest digest = state.getDigest();
List<Double> percentiles = state.getPercentiles();
if (percentiles == null || digest == null) {
out.appendNull();
return;
}
BlockBuilder blockBuilder = out.beginBlockEntry();
for (int i = 0; i < percentiles.size(); i++) {
Double percentile = percentiles.get(i);
REAL.writeLong(blockBuilder, floatToRawIntBits(sortableIntToFloat((int) digest.getQuantile(percentile))));
}
out.closeEntry();
}
use of io.airlift.stats.QuantileDigest in project presto by prestodb.
the class ApproximateLongPercentileAggregations method output.
@OutputFunction(StandardTypes.BIGINT)
public static void output(@AggregationState DigestAndPercentileState state, BlockBuilder out) {
QuantileDigest digest = state.getDigest();
double percentile = state.getPercentile();
if (digest == null || digest.getCount() == 0.0) {
out.appendNull();
} else {
checkState(percentile != -1.0, "Percentile is missing");
checkCondition(0 <= percentile && percentile <= 1, INVALID_FUNCTION_ARGUMENT, "Percentile must be between 0 and 1");
BIGINT.writeLong(out, digest.getQuantile(percentile));
}
}
use of io.airlift.stats.QuantileDigest in project presto by prestodb.
the class ApproximateLongPercentileAggregations method input.
@InputFunction
public static void input(@AggregationState DigestAndPercentileState state, @SqlType(StandardTypes.BIGINT) long value, @SqlType(StandardTypes.DOUBLE) double percentile) {
QuantileDigest digest = state.getDigest();
if (digest == null) {
digest = new QuantileDigest(0.01);
state.setDigest(digest);
state.addMemoryUsage(digest.estimatedInMemorySizeInBytes());
}
state.addMemoryUsage(-digest.estimatedInMemorySizeInBytes());
digest.add(value);
state.addMemoryUsage(digest.estimatedInMemorySizeInBytes());
// use last percentile
state.setPercentile(percentile);
}
use of io.airlift.stats.QuantileDigest in project presto by prestodb.
the class ApproximateLongPercentileAggregations method combine.
@CombineFunction
public static void combine(@AggregationState DigestAndPercentileState state, DigestAndPercentileState otherState) {
QuantileDigest input = otherState.getDigest();
QuantileDigest previous = state.getDigest();
if (previous == null) {
state.setDigest(input);
state.addMemoryUsage(input.estimatedInMemorySizeInBytes());
} else {
state.addMemoryUsage(-previous.estimatedInMemorySizeInBytes());
previous.merge(input);
state.addMemoryUsage(previous.estimatedInMemorySizeInBytes());
}
state.setPercentile(otherState.getPercentile());
}
Aggregations