This is an automated email from the ASF dual-hosted git repository.
gortiz pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/pinot.git
The following commit(s) were added to refs/heads/master by this push:
new c15c3912cb Percentile operations supporting null (#12271)
c15c3912cb is described below
commit c15c3912cb49a77476cbe84c113f68b201318c68
Author: Gonzalo Ortiz Jaureguizar <[email protected]>
AuthorDate: Mon Apr 1 10:45:05 2024 +0200
Percentile operations supporting null (#12271)
* new test framework candidate
* Improved test system
* Improve framework to be able to specify segments as strings
* fix headers
* Improve assertions when there are nulls
* Improve error text
* Improvements in the framework
* Add a base class single input aggregation operations can extend to
support null handling
* Fix issue in NullableSingleInputAggregationFunction.forEachNotNullInt
* Improve error message in NullEnabledQueriesTest
* Add new schema family
* Rename test schemas and table config
* Split AllNullQueriesTest into on test per query
* Revert change in AllNullQueriesTest that belongs to mode-null-support
branch
* Add tests
* Fix issue in bytes in aggregation case
* Update to the new framework
* Fix some tests
* rollback a code style change
---
.../function/AggregationFunctionFactory.java | 37 ++-
.../NullableSingleInputAggregationFunction.java | 9 +
.../function/PercentileAggregationFunction.java | 57 ++--
.../function/PercentileEstAggregationFunction.java | 108 ++++---
.../PercentileEstMVAggregationFunction.java | 4 +-
.../function/PercentileKLLAggregationFunction.java | 69 +++--
.../PercentileKLLMVAggregationFunction.java | 2 +-
.../function/PercentileMVAggregationFunction.java | 4 +-
.../PercentileRawEstAggregationFunction.java | 10 +-
.../PercentileRawKLLAggregationFunction.java | 4 +-
.../PercentileRawTDigestAggregationFunction.java | 17 +-
.../PercentileSmartTDigestAggregationFunction.java | 96 +++---
.../PercentileTDigestAggregationFunction.java | 110 ++++---
.../PercentileTDigestMVAggregationFunction.java | 6 +-
.../AbstractPercentileAggregationFunctionTest.java | 333 +++++++++++++++++++++
.../PercentileAggregationFunctionTest.java | 27 ++
.../PercentileEstAggregationFunctionTest.java | 45 +++
.../PercentileKLLAggregationFunctionTest.java | 47 +++
...centileSmartTDigestAggregationFunctionTest.java | 87 ++++++
.../org/apache/pinot/queries/FluentQueryTest.java | 2 +-
20 files changed, 861 insertions(+), 213 deletions(-)
diff --git
a/pinot-core/src/main/java/org/apache/pinot/core/query/aggregation/function/AggregationFunctionFactory.java
b/pinot-core/src/main/java/org/apache/pinot/core/query/aggregation/function/AggregationFunctionFactory.java
index eeed8608a4..a82d421ebc 100644
---
a/pinot-core/src/main/java/org/apache/pinot/core/query/aggregation/function/AggregationFunctionFactory.java
+++
b/pinot-core/src/main/java/org/apache/pinot/core/query/aggregation/function/AggregationFunctionFactory.java
@@ -61,16 +61,16 @@ public class AggregationFunctionFactory {
if (upperCaseFunctionName.startsWith("PERCENTILE")) {
String remainingFunctionName = upperCaseFunctionName.substring(10);
if (remainingFunctionName.equals("SMARTTDIGEST")) {
- return new PercentileSmartTDigestAggregationFunction(arguments);
+ return new PercentileSmartTDigestAggregationFunction(arguments,
nullHandlingEnabled);
}
if (remainingFunctionName.equals("KLL")) {
- return new PercentileKLLAggregationFunction(arguments);
+ return new PercentileKLLAggregationFunction(arguments,
nullHandlingEnabled);
}
if (remainingFunctionName.equals("KLLMV")) {
return new PercentileKLLMVAggregationFunction(arguments);
}
if (remainingFunctionName.equals("RAWKLL")) {
- return new PercentileRawKLLAggregationFunction(arguments);
+ return new PercentileRawKLLAggregationFunction(arguments,
nullHandlingEnabled);
}
if (remainingFunctionName.equals("RAWKLLMV")) {
return new PercentileRawKLLMVAggregationFunction(arguments);
@@ -80,23 +80,28 @@ public class AggregationFunctionFactory {
// NOTE: This convention is deprecated. DO NOT add new functions here
if (remainingFunctionName.matches("\\d+")) {
// Percentile
- return new PercentileAggregationFunction(firstArgument,
parsePercentileToInt(remainingFunctionName));
+ return new PercentileAggregationFunction(firstArgument,
parsePercentileToInt(remainingFunctionName),
+ nullHandlingEnabled);
} else if (remainingFunctionName.matches("EST\\d+")) {
// PercentileEst
String percentileString = remainingFunctionName.substring(3);
- return new PercentileEstAggregationFunction(firstArgument,
parsePercentileToInt(percentileString));
+ return new PercentileEstAggregationFunction(firstArgument,
parsePercentileToInt(percentileString),
+ nullHandlingEnabled);
} else if (remainingFunctionName.matches("RAWEST\\d+")) {
// PercentileRawEst
String percentileString = remainingFunctionName.substring(6);
- return new PercentileRawEstAggregationFunction(firstArgument,
parsePercentileToInt(percentileString));
+ return new PercentileRawEstAggregationFunction(firstArgument,
parsePercentileToInt(percentileString),
+ nullHandlingEnabled);
} else if (remainingFunctionName.matches("TDIGEST\\d+")) {
// PercentileTDigest
String percentileString = remainingFunctionName.substring(7);
- return new PercentileTDigestAggregationFunction(firstArgument,
parsePercentileToInt(percentileString));
+ return new PercentileTDigestAggregationFunction(firstArgument,
parsePercentileToInt(percentileString),
+ nullHandlingEnabled);
} else if (remainingFunctionName.matches("RAWTDIGEST\\d+")) {
// PercentileRawTDigest
String percentileString = remainingFunctionName.substring(10);
- return new PercentileRawTDigestAggregationFunction(firstArgument,
parsePercentileToInt(percentileString));
+ return new PercentileRawTDigestAggregationFunction(firstArgument,
parsePercentileToInt(percentileString),
+ nullHandlingEnabled);
} else if (remainingFunctionName.matches("\\d+MV")) {
// PercentileMV
String percentileString = remainingFunctionName.substring(0,
remainingFunctionName.length() - 2);
@@ -125,23 +130,23 @@ public class AggregationFunctionFactory {
Preconditions.checkArgument(percentile >= 0 && percentile <= 100,
"Invalid percentile: %s", percentile);
if (remainingFunctionName.isEmpty()) {
// Percentile
- return new PercentileAggregationFunction(firstArgument,
percentile);
+ return new PercentileAggregationFunction(firstArgument,
percentile, nullHandlingEnabled);
}
if (remainingFunctionName.equals("EST")) {
// PercentileEst
- return new PercentileEstAggregationFunction(firstArgument,
percentile);
+ return new PercentileEstAggregationFunction(firstArgument,
percentile, nullHandlingEnabled);
}
if (remainingFunctionName.equals("RAWEST")) {
// PercentileRawEst
- return new PercentileRawEstAggregationFunction(firstArgument,
percentile);
+ return new PercentileRawEstAggregationFunction(firstArgument,
percentile, nullHandlingEnabled);
}
if (remainingFunctionName.equals("TDIGEST")) {
// PercentileTDigest
- return new PercentileTDigestAggregationFunction(firstArgument,
percentile);
+ return new PercentileTDigestAggregationFunction(firstArgument,
percentile, nullHandlingEnabled);
}
if (remainingFunctionName.equals("RAWTDIGEST")) {
// PercentileRawTDigest
- return new PercentileRawTDigestAggregationFunction(firstArgument,
percentile);
+ return new PercentileRawTDigestAggregationFunction(firstArgument,
percentile, nullHandlingEnabled);
}
if (remainingFunctionName.equals("MV")) {
// PercentileMV
@@ -175,11 +180,13 @@ public class AggregationFunctionFactory {
Preconditions.checkArgument(compressionFactor >= 0, "Invalid
compressionFactor: %d", compressionFactor);
if (remainingFunctionName.equals("TDIGEST")) {
// PercentileTDigest
- return new PercentileTDigestAggregationFunction(firstArgument,
percentile, compressionFactor);
+ return new PercentileTDigestAggregationFunction(firstArgument,
percentile, compressionFactor,
+ nullHandlingEnabled);
}
if (remainingFunctionName.equals("RAWTDIGEST")) {
// PercentileRawTDigest
- return new PercentileRawTDigestAggregationFunction(firstArgument,
percentile, compressionFactor);
+ return new PercentileRawTDigestAggregationFunction(firstArgument,
percentile, compressionFactor,
+ nullHandlingEnabled);
}
if (remainingFunctionName.equals("TDIGESTMV")) {
// PercentileTDigestMV
diff --git
a/pinot-core/src/main/java/org/apache/pinot/core/query/aggregation/function/NullableSingleInputAggregationFunction.java
b/pinot-core/src/main/java/org/apache/pinot/core/query/aggregation/function/NullableSingleInputAggregationFunction.java
index 78f1ae1269..907f0139d2 100644
---
a/pinot-core/src/main/java/org/apache/pinot/core/query/aggregation/function/NullableSingleInputAggregationFunction.java
+++
b/pinot-core/src/main/java/org/apache/pinot/core/query/aggregation/function/NullableSingleInputAggregationFunction.java
@@ -103,6 +103,15 @@ public abstract class
NullableSingleInputAggregationFunction<I, F extends Compar
}
}
+ /**
+ * Folds over the non-null ranges of the blockValSet using the reducer.
+ * @param initialAcum the initial value of the accumulator
+ * @param <A> The type of the accumulator
+ */
+ public <A> A foldNotNull(int length, BlockValSet blockValSet, A initialAcum,
Reducer<A> reducer) {
+ return foldNotNull(length, blockValSet.getNullBitmap(), initialAcum,
reducer);
+ }
+
/**
* Folds over the non-null ranges of the blockValSet using the reducer.
* @param initialAcum the initial value of the accumulator
diff --git
a/pinot-core/src/main/java/org/apache/pinot/core/query/aggregation/function/PercentileAggregationFunction.java
b/pinot-core/src/main/java/org/apache/pinot/core/query/aggregation/function/PercentileAggregationFunction.java
index 5d227caead..c9c71744d2 100644
---
a/pinot-core/src/main/java/org/apache/pinot/core/query/aggregation/function/PercentileAggregationFunction.java
+++
b/pinot-core/src/main/java/org/apache/pinot/core/query/aggregation/function/PercentileAggregationFunction.java
@@ -31,7 +31,7 @@ import
org.apache.pinot.core.query.aggregation.groupby.ObjectGroupByResultHolder
import org.apache.pinot.segment.spi.AggregationFunctionType;
-public class PercentileAggregationFunction extends
BaseSingleInputAggregationFunction<DoubleArrayList, Double> {
+public class PercentileAggregationFunction extends
NullableSingleInputAggregationFunction<DoubleArrayList, Double> {
private static final double DEFAULT_FINAL_RESULT = Double.NEGATIVE_INFINITY;
//version 0 functions specified in the of form PERCENTILE<2-digits>(column)
@@ -39,14 +39,14 @@ public class PercentileAggregationFunction extends
BaseSingleInputAggregationFun
protected final int _version;
protected final double _percentile;
- public PercentileAggregationFunction(ExpressionContext expression, int
percentile) {
- super(expression);
+ public PercentileAggregationFunction(ExpressionContext expression, int
percentile, boolean nullHandlingEnabled) {
+ super(expression, nullHandlingEnabled);
_version = 0;
_percentile = percentile;
}
- public PercentileAggregationFunction(ExpressionContext expression, double
percentile) {
- super(expression);
+ public PercentileAggregationFunction(ExpressionContext expression, double
percentile, boolean nullHandlingEnabled) {
+ super(expression, nullHandlingEnabled);
_version = 1;
_percentile = percentile;
}
@@ -77,33 +77,42 @@ public class PercentileAggregationFunction extends
BaseSingleInputAggregationFun
public void aggregate(int length, AggregationResultHolder
aggregationResultHolder,
Map<ExpressionContext, BlockValSet> blockValSetMap) {
DoubleArrayList valueList = getValueList(aggregationResultHolder);
- double[] valueArray = blockValSetMap.get(_expression).getDoubleValuesSV();
- for (int i = 0; i < length; i++) {
- valueList.add(valueArray[i]);
- }
+ BlockValSet blockValSet = blockValSetMap.get(_expression);
+ double[] valueArray = blockValSet.getDoubleValuesSV();
+ forEachNotNull(length, blockValSet, (from, to) -> {
+ for (int i = from; i < to; i++) {
+ valueList.add(valueArray[i]);
+ }
+ });
}
@Override
public void aggregateGroupBySV(int length, int[] groupKeyArray,
GroupByResultHolder groupByResultHolder,
Map<ExpressionContext, BlockValSet> blockValSetMap) {
- double[] valueArray = blockValSetMap.get(_expression).getDoubleValuesSV();
- for (int i = 0; i < length; i++) {
- DoubleArrayList valueList = getValueList(groupByResultHolder,
groupKeyArray[i]);
- valueList.add(valueArray[i]);
- }
+ BlockValSet blockValSet = blockValSetMap.get(_expression);
+ double[] valueArray = blockValSet.getDoubleValuesSV();
+ forEachNotNull(length, blockValSet, (from, to) -> {
+ for (int i = from; i < to; i++) {
+ DoubleArrayList valueList = getValueList(groupByResultHolder,
groupKeyArray[i]);
+ valueList.add(valueArray[i]);
+ }
+ });
}
@Override
public void aggregateGroupByMV(int length, int[][] groupKeysArray,
GroupByResultHolder groupByResultHolder,
Map<ExpressionContext, BlockValSet> blockValSetMap) {
- double[] valueArray = blockValSetMap.get(_expression).getDoubleValuesSV();
- for (int i = 0; i < length; i++) {
- double value = valueArray[i];
- for (int groupKey : groupKeysArray[i]) {
- DoubleArrayList valueList = getValueList(groupByResultHolder,
groupKey);
- valueList.add(value);
+ BlockValSet blockValSet = blockValSetMap.get(_expression);
+ double[] valueArray = blockValSet.getDoubleValuesSV();
+ forEachNotNull(length, blockValSet, (from, to) -> {
+ for (int i = from; i < to; i++) {
+ double value = valueArray[i];
+ for (int groupKey : groupKeysArray[i]) {
+ DoubleArrayList valueList = getValueList(groupByResultHolder,
groupKey);
+ valueList.add(value);
+ }
}
- }
+ });
}
@Override
@@ -146,7 +155,11 @@ public class PercentileAggregationFunction extends
BaseSingleInputAggregationFun
public Double extractFinalResult(DoubleArrayList intermediateResult) {
int size = intermediateResult.size();
if (size == 0) {
- return DEFAULT_FINAL_RESULT;
+ if (_nullHandlingEnabled) {
+ return null;
+ } else {
+ return DEFAULT_FINAL_RESULT;
+ }
} else {
double[] values = intermediateResult.elements();
Arrays.sort(values, 0, size);
diff --git
a/pinot-core/src/main/java/org/apache/pinot/core/query/aggregation/function/PercentileEstAggregationFunction.java
b/pinot-core/src/main/java/org/apache/pinot/core/query/aggregation/function/PercentileEstAggregationFunction.java
index d055e46505..e67a3f7d65 100644
---
a/pinot-core/src/main/java/org/apache/pinot/core/query/aggregation/function/PercentileEstAggregationFunction.java
+++
b/pinot-core/src/main/java/org/apache/pinot/core/query/aggregation/function/PercentileEstAggregationFunction.java
@@ -32,7 +32,7 @@ import org.apache.pinot.segment.spi.AggregationFunctionType;
import org.apache.pinot.spi.data.FieldSpec.DataType;
-public class PercentileEstAggregationFunction extends
BaseSingleInputAggregationFunction<QuantileDigest, Long> {
+public class PercentileEstAggregationFunction extends
NullableSingleInputAggregationFunction<QuantileDigest, Long> {
public static final double DEFAULT_MAX_ERROR = 0.05;
//version 0 functions specified in the of form
PERCENTILEEST<2-digits>(column)
@@ -40,14 +40,15 @@ public class PercentileEstAggregationFunction extends
BaseSingleInputAggregation
protected final int _version;
protected final double _percentile;
- public PercentileEstAggregationFunction(ExpressionContext expression, int
percentile) {
- super(expression);
+ public PercentileEstAggregationFunction(ExpressionContext expression, int
percentile, boolean nullHandlingEnabled) {
+ super(expression, nullHandlingEnabled);
_version = 0;
_percentile = percentile;
}
- public PercentileEstAggregationFunction(ExpressionContext expression, double
percentile) {
- super(expression);
+ public PercentileEstAggregationFunction(ExpressionContext expression, double
percentile,
+ boolean nullHandlingEnabled) {
+ super(expression, nullHandlingEnabled);
_version = 1;
_percentile = percentile;
}
@@ -81,24 +82,30 @@ public class PercentileEstAggregationFunction extends
BaseSingleInputAggregation
if (blockValSet.getValueType() != DataType.BYTES) {
long[] longValues = blockValSet.getLongValuesSV();
QuantileDigest quantileDigest =
getDefaultQuantileDigest(aggregationResultHolder);
- for (int i = 0; i < length; i++) {
- quantileDigest.add(longValues[i]);
- }
+ forEachNotNull(length, blockValSet, (from, to) -> {
+ for (int i = from; i < to; i++) {
+ quantileDigest.add(longValues[i]);
+ }
+ });
} else {
// Serialized QuantileDigest
byte[][] bytesValues = blockValSet.getBytesValuesSV();
- QuantileDigest quantileDigest = aggregationResultHolder.getResult();
- if (quantileDigest != null) {
- for (int i = 0; i < length; i++) {
-
quantileDigest.merge(ObjectSerDeUtils.QUANTILE_DIGEST_SER_DE.deserialize(bytesValues[i]));
+ foldNotNull(length, blockValSet, (QuantileDigest)
aggregationResultHolder.getResult(), (quantile, from, toEx) -> {
+ int start;
+ QuantileDigest quantileDigest;
+ if (quantile != null) {
+ start = from;
+ quantileDigest = quantile;
+ } else {
+ start = from + 1;
+ quantileDigest =
ObjectSerDeUtils.QUANTILE_DIGEST_SER_DE.deserialize(bytesValues[from]);
+ aggregationResultHolder.setValue(quantileDigest);
}
- } else {
- quantileDigest =
ObjectSerDeUtils.QUANTILE_DIGEST_SER_DE.deserialize(bytesValues[0]);
- aggregationResultHolder.setValue(quantileDigest);
- for (int i = 1; i < length; i++) {
+ for (int i = start; i < toEx; i++) {
quantileDigest.merge(ObjectSerDeUtils.QUANTILE_DIGEST_SER_DE.deserialize(bytesValues[i]));
}
- }
+ return quantileDigest;
+ });
}
}
@@ -108,22 +115,26 @@ public class PercentileEstAggregationFunction extends
BaseSingleInputAggregation
BlockValSet blockValSet = blockValSetMap.get(_expression);
if (blockValSet.getValueType() != DataType.BYTES) {
long[] longValues = blockValSet.getLongValuesSV();
- for (int i = 0; i < length; i++) {
- getDefaultQuantileDigest(groupByResultHolder,
groupKeyArray[i]).add(longValues[i]);
- }
+ forEachNotNull(length, blockValSet, (from, to) -> {
+ for (int i = from; i < to; i++) {
+ getDefaultQuantileDigest(groupByResultHolder,
groupKeyArray[i]).add(longValues[i]);
+ }
+ });
} else {
// Serialized QuantileDigest
byte[][] bytesValues = blockValSet.getBytesValuesSV();
- for (int i = 0; i < length; i++) {
- QuantileDigest value =
ObjectSerDeUtils.QUANTILE_DIGEST_SER_DE.deserialize(bytesValues[i]);
- int groupKey = groupKeyArray[i];
- QuantileDigest quantileDigest =
groupByResultHolder.getResult(groupKey);
- if (quantileDigest != null) {
- quantileDigest.merge(value);
- } else {
- groupByResultHolder.setValueForKey(groupKey, value);
+ forEachNotNull(length, blockValSet, (from, to) -> {
+ for (int i = from; i < to; i++) {
+ QuantileDigest value =
ObjectSerDeUtils.QUANTILE_DIGEST_SER_DE.deserialize(bytesValues[i]);
+ int groupKey = groupKeyArray[i];
+ QuantileDigest quantileDigest =
groupByResultHolder.getResult(groupKey);
+ if (quantileDigest != null) {
+ quantileDigest.merge(value);
+ } else {
+ groupByResultHolder.setValueForKey(groupKey, value);
+ }
}
- }
+ });
}
}
@@ -133,28 +144,32 @@ public class PercentileEstAggregationFunction extends
BaseSingleInputAggregation
BlockValSet blockValSet = blockValSetMap.get(_expression);
if (blockValSet.getValueType() != DataType.BYTES) {
long[] longValues = blockValSet.getLongValuesSV();
- for (int i = 0; i < length; i++) {
- long value = longValues[i];
- for (int groupKey : groupKeysArray[i]) {
- getDefaultQuantileDigest(groupByResultHolder, groupKey).add(value);
+ forEachNotNull(length, blockValSet, (from, to) -> {
+ for (int i = from; i < to; i++) {
+ long value = longValues[i];
+ for (int groupKey : groupKeysArray[i]) {
+ getDefaultQuantileDigest(groupByResultHolder, groupKey).add(value);
+ }
}
- }
+ });
} else {
// Serialized QuantileDigest
byte[][] bytesValues = blockValSet.getBytesValuesSV();
- for (int i = 0; i < length; i++) {
- QuantileDigest value =
ObjectSerDeUtils.QUANTILE_DIGEST_SER_DE.deserialize(bytesValues[i]);
- for (int groupKey : groupKeysArray[i]) {
- QuantileDigest quantileDigest =
groupByResultHolder.getResult(groupKey);
- if (quantileDigest != null) {
- quantileDigest.merge(value);
- } else {
- // Create a new QuantileDigest for the group
- groupByResultHolder
- .setValueForKey(groupKey,
ObjectSerDeUtils.QUANTILE_DIGEST_SER_DE.deserialize(bytesValues[i]));
+ forEachNotNull(length, blockValSet, (from, to) -> {
+ for (int i = from; i < to; i++) {
+ QuantileDigest value =
ObjectSerDeUtils.QUANTILE_DIGEST_SER_DE.deserialize(bytesValues[i]);
+ for (int groupKey : groupKeysArray[i]) {
+ QuantileDigest quantileDigest =
groupByResultHolder.getResult(groupKey);
+ if (quantileDigest != null) {
+ quantileDigest.merge(value);
+ } else {
+ // Create a new QuantileDigest for the group
+ groupByResultHolder.setValueForKey(groupKey,
+
ObjectSerDeUtils.QUANTILE_DIGEST_SER_DE.deserialize(bytesValues[i]));
+ }
}
}
- }
+ });
}
}
@@ -202,6 +217,9 @@ public class PercentileEstAggregationFunction extends
BaseSingleInputAggregation
@Override
public Long extractFinalResult(QuantileDigest intermediateResult) {
+ if (intermediateResult.getCount() == 0 && _nullHandlingEnabled) {
+ return null;
+ }
return intermediateResult.getQuantile(_percentile / 100.0);
}
diff --git
a/pinot-core/src/main/java/org/apache/pinot/core/query/aggregation/function/PercentileEstMVAggregationFunction.java
b/pinot-core/src/main/java/org/apache/pinot/core/query/aggregation/function/PercentileEstMVAggregationFunction.java
index c1001f25c7..5a86171462 100644
---
a/pinot-core/src/main/java/org/apache/pinot/core/query/aggregation/function/PercentileEstMVAggregationFunction.java
+++
b/pinot-core/src/main/java/org/apache/pinot/core/query/aggregation/function/PercentileEstMVAggregationFunction.java
@@ -30,11 +30,11 @@ import org.apache.pinot.segment.spi.AggregationFunctionType;
public class PercentileEstMVAggregationFunction extends
PercentileEstAggregationFunction {
public PercentileEstMVAggregationFunction(ExpressionContext expression, int
percentile) {
- super(expression, percentile);
+ super(expression, percentile, false);
}
public PercentileEstMVAggregationFunction(ExpressionContext expression,
double percentile) {
- super(expression, percentile);
+ super(expression, percentile, false);
}
@Override
diff --git
a/pinot-core/src/main/java/org/apache/pinot/core/query/aggregation/function/PercentileKLLAggregationFunction.java
b/pinot-core/src/main/java/org/apache/pinot/core/query/aggregation/function/PercentileKLLAggregationFunction.java
index 6d2b3b8697..bcf025a801 100644
---
a/pinot-core/src/main/java/org/apache/pinot/core/query/aggregation/function/PercentileKLLAggregationFunction.java
+++
b/pinot-core/src/main/java/org/apache/pinot/core/query/aggregation/function/PercentileKLLAggregationFunction.java
@@ -61,14 +61,14 @@ import org.apache.pinot.spi.data.FieldSpec.DataType;
* </p>
*/
public class PercentileKLLAggregationFunction
- extends BaseSingleInputAggregationFunction<KllDoublesSketch,
Comparable<?>> {
+ extends NullableSingleInputAggregationFunction<KllDoublesSketch,
Comparable<?>> {
protected static final int DEFAULT_K_VALUE = 200;
protected final double _percentile;
protected int _kValue;
- public PercentileKLLAggregationFunction(List<ExpressionContext> arguments) {
- super(arguments.get(0));
+ public PercentileKLLAggregationFunction(List<ExpressionContext> arguments,
boolean nullHandlingEnabled) {
+ super(arguments.get(0), nullHandlingEnabled);
// Check that there are correct number of arguments
int numArguments = arguments.size();
@@ -107,14 +107,18 @@ public class PercentileKLLAggregationFunction
if (valueType == DataType.BYTES) {
// Assuming the column contains serialized data sketch
KllDoublesSketch[] deserializedSketches =
deserializeSketches(blockValSetMap.get(_expression).getBytesValuesSV());
- for (int i = 0; i < length; i++) {
- sketch.merge(deserializedSketches[i]);
- }
+ forEachNotNull(length, valueSet, (from, to) -> {
+ for (int i = from; i < to; i++) {
+ sketch.merge(deserializedSketches[i]);
+ }
+ });
} else {
double[] values = valueSet.getDoubleValuesSV();
- for (int i = 0; i < length; i++) {
- sketch.update(values[i]);
- }
+ forEachNotNull(length, valueSet, (from, to) -> {
+ for (int i = from; i < to; i++) {
+ sketch.update(values[i]);
+ }
+ });
}
}
@@ -127,16 +131,20 @@ public class PercentileKLLAggregationFunction
if (valueType == DataType.BYTES) {
// serialized sketch
KllDoublesSketch[] deserializedSketches =
deserializeSketches(blockValSetMap.get(_expression).getBytesValuesSV());
- for (int i = 0; i < length; i++) {
- KllDoublesSketch sketch = getOrCreateSketch(groupByResultHolder,
groupKeyArray[i]);
- sketch.merge(deserializedSketches[i]);
- }
+ forEachNotNull(length, valueSet, (from, to) -> {
+ for (int i = from; i < to; i++) {
+ KllDoublesSketch sketch = getOrCreateSketch(groupByResultHolder,
groupKeyArray[i]);
+ sketch.merge(deserializedSketches[i]);
+ }
+ });
} else {
double[] values = valueSet.getDoubleValuesSV();
- for (int i = 0; i < length; i++) {
- KllDoublesSketch sketch = getOrCreateSketch(groupByResultHolder,
groupKeyArray[i]);
- sketch.update(values[i]);
- }
+ forEachNotNull(length, valueSet, (from, to) -> {
+ for (int i = from; i < to; i++) {
+ KllDoublesSketch sketch = getOrCreateSketch(groupByResultHolder,
groupKeyArray[i]);
+ sketch.update(values[i]);
+ }
+ });
}
}
@@ -149,20 +157,24 @@ public class PercentileKLLAggregationFunction
if (valueType == DataType.BYTES) {
// serialized sketch
KllDoublesSketch[] deserializedSketches =
deserializeSketches(blockValSetMap.get(_expression).getBytesValuesSV());
- for (int i = 0; i < length; i++) {
- for (int groupKey : groupKeysArray[i]) {
- KllDoublesSketch sketch = getOrCreateSketch(groupByResultHolder,
groupKey);
- sketch.merge(deserializedSketches[i]);
+ forEachNotNull(length, valueSet, (from, to) -> {
+ for (int i = from; i < to; i++) {
+ for (int groupKey : groupKeysArray[i]) {
+ KllDoublesSketch sketch = getOrCreateSketch(groupByResultHolder,
groupKey);
+ sketch.merge(deserializedSketches[i]);
+ }
}
- }
+ });
} else {
double[] values = valueSet.getDoubleValuesSV();
- for (int i = 0; i < length; i++) {
- for (int groupKey : groupKeysArray[i]) {
- KllDoublesSketch sketch = getOrCreateSketch(groupByResultHolder,
groupKey);
- sketch.update(values[i]);
+ forEachNotNull(length, valueSet, (from, to) -> {
+ for (int i = from; i < to; i++) {
+ for (int groupKey : groupKeysArray[i]) {
+ KllDoublesSketch sketch = getOrCreateSketch(groupByResultHolder,
groupKey);
+ sketch.update(values[i]);
+ }
}
- }
+ });
}
}
@@ -241,6 +253,9 @@ public class PercentileKLLAggregationFunction
@Override
public Comparable<?> extractFinalResult(KllDoublesSketch sketch) {
+ if (sketch.isEmpty() && _nullHandlingEnabled) {
+ return null;
+ }
return sketch.getQuantile(_percentile / 100);
}
}
diff --git
a/pinot-core/src/main/java/org/apache/pinot/core/query/aggregation/function/PercentileKLLMVAggregationFunction.java
b/pinot-core/src/main/java/org/apache/pinot/core/query/aggregation/function/PercentileKLLMVAggregationFunction.java
index 4653e9051d..26af8dea44 100644
---
a/pinot-core/src/main/java/org/apache/pinot/core/query/aggregation/function/PercentileKLLMVAggregationFunction.java
+++
b/pinot-core/src/main/java/org/apache/pinot/core/query/aggregation/function/PercentileKLLMVAggregationFunction.java
@@ -32,7 +32,7 @@ import org.apache.pinot.spi.data.FieldSpec.DataType;
public class PercentileKLLMVAggregationFunction extends
PercentileKLLAggregationFunction {
public PercentileKLLMVAggregationFunction(List<ExpressionContext> arguments)
{
- super(arguments);
+ super(arguments, false);
}
@Override
diff --git
a/pinot-core/src/main/java/org/apache/pinot/core/query/aggregation/function/PercentileMVAggregationFunction.java
b/pinot-core/src/main/java/org/apache/pinot/core/query/aggregation/function/PercentileMVAggregationFunction.java
index 794a9896a7..620763ea75 100644
---
a/pinot-core/src/main/java/org/apache/pinot/core/query/aggregation/function/PercentileMVAggregationFunction.java
+++
b/pinot-core/src/main/java/org/apache/pinot/core/query/aggregation/function/PercentileMVAggregationFunction.java
@@ -30,11 +30,11 @@ import org.apache.pinot.segment.spi.AggregationFunctionType;
public class PercentileMVAggregationFunction extends
PercentileAggregationFunction {
public PercentileMVAggregationFunction(ExpressionContext expression, int
percentile) {
- super(expression, percentile);
+ super(expression, percentile, false);
}
public PercentileMVAggregationFunction(ExpressionContext expression, double
percentile) {
- super(expression, percentile);
+ super(expression, percentile, false);
}
@Override
diff --git
a/pinot-core/src/main/java/org/apache/pinot/core/query/aggregation/function/PercentileRawEstAggregationFunction.java
b/pinot-core/src/main/java/org/apache/pinot/core/query/aggregation/function/PercentileRawEstAggregationFunction.java
index 063359ec96..04787e7d55 100644
---
a/pinot-core/src/main/java/org/apache/pinot/core/query/aggregation/function/PercentileRawEstAggregationFunction.java
+++
b/pinot-core/src/main/java/org/apache/pinot/core/query/aggregation/function/PercentileRawEstAggregationFunction.java
@@ -37,12 +37,14 @@ public class PercentileRawEstAggregationFunction
extends BaseSingleInputAggregationFunction<QuantileDigest,
SerializedQuantileDigest> {
private final PercentileEstAggregationFunction
_percentileEstAggregationFunction;
- public PercentileRawEstAggregationFunction(ExpressionContext
expressionContext, double percentile) {
- this(expressionContext, new
PercentileEstAggregationFunction(expressionContext, percentile));
+ public PercentileRawEstAggregationFunction(ExpressionContext
expressionContext, double percentile,
+ boolean nullHandlingEnabled) {
+ this(expressionContext, new
PercentileEstAggregationFunction(expressionContext, percentile,
nullHandlingEnabled));
}
- public PercentileRawEstAggregationFunction(ExpressionContext
expressionContext, int percentile) {
- this(expressionContext, new
PercentileEstAggregationFunction(expressionContext, percentile));
+ public PercentileRawEstAggregationFunction(ExpressionContext
expressionContext, int percentile,
+ boolean nullHandlingEnabled) {
+ this(expressionContext, new
PercentileEstAggregationFunction(expressionContext, percentile,
nullHandlingEnabled));
}
protected PercentileRawEstAggregationFunction(ExpressionContext expression,
diff --git
a/pinot-core/src/main/java/org/apache/pinot/core/query/aggregation/function/PercentileRawKLLAggregationFunction.java
b/pinot-core/src/main/java/org/apache/pinot/core/query/aggregation/function/PercentileRawKLLAggregationFunction.java
index 39c2022ff0..7e88cf009d 100644
---
a/pinot-core/src/main/java/org/apache/pinot/core/query/aggregation/function/PercentileRawKLLAggregationFunction.java
+++
b/pinot-core/src/main/java/org/apache/pinot/core/query/aggregation/function/PercentileRawKLLAggregationFunction.java
@@ -28,8 +28,8 @@ import org.apache.pinot.segment.spi.AggregationFunctionType;
public class PercentileRawKLLAggregationFunction extends
PercentileKLLAggregationFunction {
- public PercentileRawKLLAggregationFunction(List<ExpressionContext>
arguments) {
- super(arguments);
+ public PercentileRawKLLAggregationFunction(List<ExpressionContext>
arguments, boolean nullHandlingEnabled) {
+ super(arguments, nullHandlingEnabled);
}
@Override
diff --git
a/pinot-core/src/main/java/org/apache/pinot/core/query/aggregation/function/PercentileRawTDigestAggregationFunction.java
b/pinot-core/src/main/java/org/apache/pinot/core/query/aggregation/function/PercentileRawTDigestAggregationFunction.java
index 99a096c130..fc618027a5 100644
---
a/pinot-core/src/main/java/org/apache/pinot/core/query/aggregation/function/PercentileRawTDigestAggregationFunction.java
+++
b/pinot-core/src/main/java/org/apache/pinot/core/query/aggregation/function/PercentileRawTDigestAggregationFunction.java
@@ -37,17 +37,22 @@ public class PercentileRawTDigestAggregationFunction
extends BaseSingleInputAggregationFunction<TDigest, SerializedTDigest> {
private final PercentileTDigestAggregationFunction
_percentileTDigestAggregationFunction;
- public PercentileRawTDigestAggregationFunction(ExpressionContext
expressionContext, int percentile) {
- this(expressionContext, new
PercentileTDigestAggregationFunction(expressionContext, percentile));
+ public PercentileRawTDigestAggregationFunction(ExpressionContext
expressionContext, int percentile,
+ boolean nullHandlingEnabled) {
+ this(expressionContext, new
PercentileTDigestAggregationFunction(expressionContext, percentile,
+ nullHandlingEnabled));
}
- public PercentileRawTDigestAggregationFunction(ExpressionContext
expressionContext, double percentile) {
- this(expressionContext, new
PercentileTDigestAggregationFunction(expressionContext, percentile));
+ public PercentileRawTDigestAggregationFunction(ExpressionContext
expressionContext, double percentile,
+ boolean nullHandlingEnabled) {
+ this(expressionContext, new
PercentileTDigestAggregationFunction(expressionContext, percentile,
+ nullHandlingEnabled));
}
public PercentileRawTDigestAggregationFunction(ExpressionContext
expressionContext, double percentile,
- int compressionFactor) {
- this(expressionContext, new
PercentileTDigestAggregationFunction(expressionContext, percentile,
compressionFactor));
+ int compressionFactor, boolean nullHandlingEnabled) {
+ this(expressionContext, new
PercentileTDigestAggregationFunction(expressionContext, percentile,
compressionFactor,
+ nullHandlingEnabled));
}
protected PercentileRawTDigestAggregationFunction(ExpressionContext
expression,
diff --git
a/pinot-core/src/main/java/org/apache/pinot/core/query/aggregation/function/PercentileSmartTDigestAggregationFunction.java
b/pinot-core/src/main/java/org/apache/pinot/core/query/aggregation/function/PercentileSmartTDigestAggregationFunction.java
index 92cd5fa09b..20d5372ca5 100644
---
a/pinot-core/src/main/java/org/apache/pinot/core/query/aggregation/function/PercentileSmartTDigestAggregationFunction.java
+++
b/pinot-core/src/main/java/org/apache/pinot/core/query/aggregation/function/PercentileSmartTDigestAggregationFunction.java
@@ -50,15 +50,15 @@ import org.apache.pinot.spi.data.FieldSpec.DataType;
* - compression: Compression for the converted TDigest, 100 by default.
* Example of third argument: 'threshold=10000;compression=50'
*/
-public class PercentileSmartTDigestAggregationFunction extends
BaseSingleInputAggregationFunction<Object, Double> {
+public class PercentileSmartTDigestAggregationFunction extends
NullableSingleInputAggregationFunction<Object, Double> {
private static final double DEFAULT_FINAL_RESULT = Double.NEGATIVE_INFINITY;
private final double _percentile;
private final int _threshold;
private final int _compression;
- public PercentileSmartTDigestAggregationFunction(List<ExpressionContext>
arguments) {
- super(arguments.get(0));
+ public PercentileSmartTDigestAggregationFunction(List<ExpressionContext>
arguments, boolean nullHandlingEnabled) {
+ super(arguments.get(0), nullHandlingEnabled);
try {
_percentile = arguments.get(1).getLiteral().getDoubleValue();
} catch (Exception e) {
@@ -128,39 +128,53 @@ public class PercentileSmartTDigestAggregationFunction
extends BaseSingleInputAg
blockValSet.isSingleValue() ? "" : "_MV");
}
- private static void aggregateIntoTDigest(int length, AggregationResultHolder
aggregationResultHolder,
+ private void aggregateIntoTDigest(int length, AggregationResultHolder
aggregationResultHolder,
BlockValSet blockValSet) {
TDigest tDigest = aggregationResultHolder.getResult();
if (blockValSet.isSingleValue()) {
double[] doubleValues = blockValSet.getDoubleValuesSV();
- for (int i = 0; i < length; i++) {
- tDigest.add(doubleValues[i]);
- }
+ forEachNotNull(length, blockValSet, (from, to) -> {
+ for (int i = from; i < to; i++) {
+ tDigest.add(doubleValues[i]);
+ }
+ });
} else {
double[][] doubleValues = blockValSet.getDoubleValuesMV();
- for (int i = 0; i < length; i++) {
- for (double value : doubleValues[i]) {
- tDigest.add(value);
+ forEachNotNull(length, blockValSet, (from, to) -> {
+ for (int i = from; i < to; i++) {
+ for (double value : doubleValues[i]) {
+ tDigest.add(value);
+ }
}
- }
+ });
}
}
- private void aggregateIntoValueList(int length, AggregationResultHolder
aggregationResultHolder,
- BlockValSet blockValSet) {
+ private DoubleArrayList getOrCreateList(int length, AggregationResultHolder
aggregationResultHolder) {
DoubleArrayList valueList = aggregationResultHolder.getResult();
if (valueList == null) {
valueList = new DoubleArrayList(length);
aggregationResultHolder.setValue(valueList);
}
+ return valueList;
+ }
+
+ private void aggregateIntoValueList(int length, AggregationResultHolder
aggregationResultHolder,
+ BlockValSet blockValSet) {
+ DoubleArrayList valueList = getOrCreateList(length,
aggregationResultHolder);
if (blockValSet.isSingleValue()) {
double[] doubleValues = blockValSet.getDoubleValuesSV();
- valueList.addElements(valueList.size(), doubleValues, 0, length);
+ forEachNotNull(length, blockValSet, (from, toEx) ->
+ valueList.addElements(valueList.size(), doubleValues, from, toEx -
from)
+ );
} else {
double[][] doubleValues = blockValSet.getDoubleValuesMV();
- for (int i = 0; i < length; i++) {
- valueList.addElements(valueList.size(), doubleValues[i]);
- }
+ forEachNotNull(length, blockValSet, (from, toEx) -> {
+ for (int i = 0; i < length; i++) {
+ valueList.addElements(valueList.size(), doubleValues[i]);
+ }
+ }
+ );
}
if (valueList.size() > _threshold) {
aggregationResultHolder.setValue(convertValueListToTDigest(valueList));
@@ -183,16 +197,20 @@ public class PercentileSmartTDigestAggregationFunction
extends BaseSingleInputAg
validateValueType(blockValSet);
if (blockValSet.isSingleValue()) {
double[] doubleValues = blockValSet.getDoubleValuesSV();
- for (int i = 0; i < length; i++) {
- DoubleArrayList valueList = getValueList(groupByResultHolder,
groupKeyArray[i]);
- valueList.add(doubleValues[i]);
- }
+ forEachNotNull(length, blockValSet, (from, to) -> {
+ for (int i = from; i < to; i++) {
+ DoubleArrayList valueList = getValueList(groupByResultHolder,
groupKeyArray[i]);
+ valueList.add(doubleValues[i]);
+ }
+ });
} else {
double[][] doubleValues = blockValSet.getDoubleValuesMV();
- for (int i = 0; i < length; i++) {
- DoubleArrayList valueList = getValueList(groupByResultHolder,
groupKeyArray[i]);
- valueList.addElements(valueList.size(), doubleValues[i]);
- }
+ forEachNotNull(length, blockValSet, (from, to) -> {
+ for (int i = from; i < to; i++) {
+ DoubleArrayList valueList = getValueList(groupByResultHolder,
groupKeyArray[i]);
+ valueList.addElements(valueList.size(), doubleValues[i]);
+ }
+ });
}
}
@@ -212,19 +230,23 @@ public class PercentileSmartTDigestAggregationFunction
extends BaseSingleInputAg
validateValueType(blockValSet);
if (blockValSet.isSingleValue()) {
double[] doubleValues = blockValSet.getDoubleValuesSV();
- for (int i = 0; i < length; i++) {
- for (int groupKey : groupKeysArray[i]) {
- getValueList(groupByResultHolder, groupKey).add(doubleValues[i]);
+ forEachNotNull(length, blockValSet, (from, to) -> {
+ for (int i = from; i < to; i++) {
+ for (int groupKey : groupKeysArray[i]) {
+ getValueList(groupByResultHolder, groupKey).add(doubleValues[i]);
+ }
}
- }
+ });
} else {
double[][] doubleValues = blockValSet.getDoubleValuesMV();
- for (int i = 0; i < length; i++) {
- for (int groupKey : groupKeysArray[i]) {
- DoubleArrayList valueList = getValueList(groupByResultHolder,
groupKey);
- valueList.addElements(valueList.size(), doubleValues[i]);
+ forEachNotNull(length, blockValSet, (from, to) -> {
+ for (int i = from; i < to; i++) {
+ for (int groupKey : groupKeysArray[i]) {
+ DoubleArrayList valueList = getValueList(groupByResultHolder,
groupKey);
+ valueList.addElements(valueList.size(), doubleValues[i]);
+ }
}
- }
+ });
}
}
@@ -285,7 +307,11 @@ public class PercentileSmartTDigestAggregationFunction
extends BaseSingleInputAg
DoubleArrayList valueList = (DoubleArrayList) intermediateResult;
int size = valueList.size();
if (size == 0) {
- return DEFAULT_FINAL_RESULT;
+ if (_nullHandlingEnabled) {
+ return null;
+ } else {
+ return DEFAULT_FINAL_RESULT;
+ }
} else {
double[] values = valueList.elements();
Arrays.sort(values, 0, size);
diff --git
a/pinot-core/src/main/java/org/apache/pinot/core/query/aggregation/function/PercentileTDigestAggregationFunction.java
b/pinot-core/src/main/java/org/apache/pinot/core/query/aggregation/function/PercentileTDigestAggregationFunction.java
index d4224739c6..c831e52d22 100644
---
a/pinot-core/src/main/java/org/apache/pinot/core/query/aggregation/function/PercentileTDigestAggregationFunction.java
+++
b/pinot-core/src/main/java/org/apache/pinot/core/query/aggregation/function/PercentileTDigestAggregationFunction.java
@@ -39,7 +39,7 @@ import org.apache.pinot.spi.data.FieldSpec.DataType;
* extra handling for two argument PERCENTILE functions to assess if v0
or v1. This can be revisited later if the
* need arises
*/
-public class PercentileTDigestAggregationFunction extends
BaseSingleInputAggregationFunction<TDigest, Double> {
+public class PercentileTDigestAggregationFunction extends
NullableSingleInputAggregationFunction<TDigest, Double> {
public static final int DEFAULT_TDIGEST_COMPRESSION = 100;
// version 0 functions specified in the of form
PERCENTILETDIGEST<2-digits>(column). Uses default compression of 100
@@ -48,23 +48,25 @@ public class PercentileTDigestAggregationFunction extends
BaseSingleInputAggrega
protected final double _percentile;
protected final int _compressionFactor;
- public PercentileTDigestAggregationFunction(ExpressionContext expression,
int percentile) {
- super(expression);
+ public PercentileTDigestAggregationFunction(ExpressionContext expression,
int percentile,
+ boolean nullHandlingEnabled) {
+ super(expression, nullHandlingEnabled);
_version = 0;
_percentile = percentile;
_compressionFactor = DEFAULT_TDIGEST_COMPRESSION;
}
- public PercentileTDigestAggregationFunction(ExpressionContext expression,
double percentile) {
- super(expression);
+ public PercentileTDigestAggregationFunction(ExpressionContext expression,
double percentile,
+ boolean nullHandlingEnabled) {
+ super(expression, nullHandlingEnabled);
_version = 1;
_percentile = percentile;
_compressionFactor = DEFAULT_TDIGEST_COMPRESSION;
}
public PercentileTDigestAggregationFunction(ExpressionContext expression,
double percentile,
- int compressionFactor) {
- super(expression);
+ int compressionFactor, boolean nullHandlingEnabled) {
+ super(expression, nullHandlingEnabled);
_version = 1;
_percentile = percentile;
_compressionFactor = compressionFactor;
@@ -104,24 +106,28 @@ public class PercentileTDigestAggregationFunction extends
BaseSingleInputAggrega
if (blockValSet.getValueType() != DataType.BYTES) {
double[] doubleValues = blockValSet.getDoubleValuesSV();
TDigest tDigest = getDefaultTDigest(aggregationResultHolder,
_compressionFactor);
- for (int i = 0; i < length; i++) {
- tDigest.add(doubleValues[i]);
- }
+ forEachNotNull(length, blockValSet, (from, to) -> {
+ for (int i = from; i < to; i++) {
+ tDigest.add(doubleValues[i]);
+ }
+ });
} else {
// Serialized TDigest
byte[][] bytesValues = blockValSet.getBytesValuesSV();
- TDigest tDigest = aggregationResultHolder.getResult();
- if (tDigest != null) {
- for (int i = 0; i < length; i++) {
-
tDigest.add(ObjectSerDeUtils.TDIGEST_SER_DE.deserialize(bytesValues[i]));
- }
- } else {
- tDigest = ObjectSerDeUtils.TDIGEST_SER_DE.deserialize(bytesValues[0]);
- aggregationResultHolder.setValue(tDigest);
- for (int i = 1; i < length; i++) {
-
tDigest.add(ObjectSerDeUtils.TDIGEST_SER_DE.deserialize(bytesValues[i]));
+ foldNotNull(length, blockValSet, (TDigest)
aggregationResultHolder.getResult(), (tDigest, from, toEx) -> {
+ if (tDigest != null) {
+ for (int i = from; i < toEx; i++) {
+
tDigest.add(ObjectSerDeUtils.TDIGEST_SER_DE.deserialize(bytesValues[i]));
+ }
+ } else {
+ tDigest =
ObjectSerDeUtils.TDIGEST_SER_DE.deserialize(bytesValues[0]);
+ aggregationResultHolder.setValue(tDigest);
+ for (int i = 1; i < length; i++) {
+
tDigest.add(ObjectSerDeUtils.TDIGEST_SER_DE.deserialize(bytesValues[i]));
+ }
}
- }
+ return tDigest;
+ });
}
}
@@ -131,22 +137,26 @@ public class PercentileTDigestAggregationFunction extends
BaseSingleInputAggrega
BlockValSet blockValSet = blockValSetMap.get(_expression);
if (blockValSet.getValueType() != DataType.BYTES) {
double[] doubleValues = blockValSet.getDoubleValuesSV();
- for (int i = 0; i < length; i++) {
- getDefaultTDigest(groupByResultHolder, groupKeyArray[i],
_compressionFactor).add(doubleValues[i]);
- }
+ forEachNotNull(length, blockValSet, (from, to) -> {
+ for (int i = from; i < to; i++) {
+ getDefaultTDigest(groupByResultHolder, groupKeyArray[i],
_compressionFactor).add(doubleValues[i]);
+ }
+ });
} else {
// Serialized TDigest
byte[][] bytesValues = blockValSet.getBytesValuesSV();
- for (int i = 0; i < length; i++) {
- TDigest value =
ObjectSerDeUtils.TDIGEST_SER_DE.deserialize(bytesValues[i]);
- int groupKey = groupKeyArray[i];
- TDigest tDigest = groupByResultHolder.getResult(groupKey);
- if (tDigest != null) {
- tDigest.add(value);
- } else {
- groupByResultHolder.setValueForKey(groupKey, value);
+ forEachNotNull(length, blockValSet, (from, to) -> {
+ for (int i = from; i < to; i++) {
+ TDigest value =
ObjectSerDeUtils.TDIGEST_SER_DE.deserialize(bytesValues[i]);
+ int groupKey = groupKeyArray[i];
+ TDigest tDigest = groupByResultHolder.getResult(groupKey);
+ if (tDigest != null) {
+ tDigest.add(value);
+ } else {
+ groupByResultHolder.setValueForKey(groupKey, value);
+ }
}
- }
+ });
}
}
@@ -156,27 +166,31 @@ public class PercentileTDigestAggregationFunction extends
BaseSingleInputAggrega
BlockValSet blockValSet = blockValSetMap.get(_expression);
if (blockValSet.getValueType() != DataType.BYTES) {
double[] doubleValues = blockValSet.getDoubleValuesSV();
- for (int i = 0; i < length; i++) {
- double value = doubleValues[i];
- for (int groupKey : groupKeysArray[i]) {
- getDefaultTDigest(groupByResultHolder, groupKey,
_compressionFactor).add(value);
+ forEachNotNull(length, blockValSet, (from, to) -> {
+ for (int i = from; i < to; i++) {
+ double value = doubleValues[i];
+ for (int groupKey : groupKeysArray[i]) {
+ getDefaultTDigest(groupByResultHolder, groupKey,
_compressionFactor).add(value);
+ }
}
- }
+ });
} else {
// Serialized QuantileDigest
byte[][] bytesValues = blockValSet.getBytesValuesSV();
- for (int i = 0; i < length; i++) {
- TDigest value =
ObjectSerDeUtils.TDIGEST_SER_DE.deserialize(bytesValues[i]);
- for (int groupKey : groupKeysArray[i]) {
- TDigest tDigest = groupByResultHolder.getResult(groupKey);
- if (tDigest != null) {
- tDigest.add(value);
- } else {
- // Create a new TDigest for the group
- groupByResultHolder.setValueForKey(groupKey,
ObjectSerDeUtils.TDIGEST_SER_DE.deserialize(bytesValues[i]));
+ forEachNotNull(length, blockValSet, (from, to) -> {
+ for (int i = from; i < to; i++) {
+ TDigest value =
ObjectSerDeUtils.TDIGEST_SER_DE.deserialize(bytesValues[i]);
+ for (int groupKey : groupKeysArray[i]) {
+ TDigest tDigest = groupByResultHolder.getResult(groupKey);
+ if (tDigest != null) {
+ tDigest.add(value);
+ } else {
+ // Create a new TDigest for the group
+ groupByResultHolder.setValueForKey(groupKey,
ObjectSerDeUtils.TDIGEST_SER_DE.deserialize(bytesValues[i]));
+ }
}
}
- }
+ });
}
}
diff --git
a/pinot-core/src/main/java/org/apache/pinot/core/query/aggregation/function/PercentileTDigestMVAggregationFunction.java
b/pinot-core/src/main/java/org/apache/pinot/core/query/aggregation/function/PercentileTDigestMVAggregationFunction.java
index 571f2ae912..a6b7884e6e 100644
---
a/pinot-core/src/main/java/org/apache/pinot/core/query/aggregation/function/PercentileTDigestMVAggregationFunction.java
+++
b/pinot-core/src/main/java/org/apache/pinot/core/query/aggregation/function/PercentileTDigestMVAggregationFunction.java
@@ -30,16 +30,16 @@ import org.apache.pinot.segment.spi.AggregationFunctionType;
public class PercentileTDigestMVAggregationFunction extends
PercentileTDigestAggregationFunction {
public PercentileTDigestMVAggregationFunction(ExpressionContext expression,
int percentile) {
- super(expression, percentile);
+ super(expression, percentile, false);
}
public PercentileTDigestMVAggregationFunction(ExpressionContext expression,
double percentile) {
- super(expression, percentile);
+ super(expression, percentile, false);
}
public PercentileTDigestMVAggregationFunction(ExpressionContext expression,
double percentile,
int compressionFactor) {
- super(expression, percentile, compressionFactor);
+ super(expression, percentile, compressionFactor, false);
}
@Override
diff --git
a/pinot-core/src/test/java/org/apache/pinot/core/query/aggregation/function/AbstractPercentileAggregationFunctionTest.java
b/pinot-core/src/test/java/org/apache/pinot/core/query/aggregation/function/AbstractPercentileAggregationFunctionTest.java
new file mode 100644
index 0000000000..fe9cc09f26
--- /dev/null
+++
b/pinot-core/src/test/java/org/apache/pinot/core/query/aggregation/function/AbstractPercentileAggregationFunctionTest.java
@@ -0,0 +1,333 @@
+/**
+ * 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.pinot.core.query.aggregation.function;
+
+import org.apache.pinot.queries.FluentQueryTest;
+import org.apache.pinot.spi.data.FieldSpec;
+import org.testng.annotations.DataProvider;
+import org.testng.annotations.Test;
+
+
+public abstract class AbstractPercentileAggregationFunctionTest extends
AbstractAggregationFunctionTest {
+
+ @DataProvider(name = "scenarios")
+ Object[] scenarios() {
+ return new Object[] {
+ new Scenario(FieldSpec.DataType.INT),
+ new Scenario(FieldSpec.DataType.LONG),
+ new Scenario(FieldSpec.DataType.FLOAT),
+ new Scenario(FieldSpec.DataType.DOUBLE),
+ };
+ }
+
+ public abstract String callStr(String column, int percent);
+
+ public String getFinalResultColumnType() {
+ return "DOUBLE";
+ }
+
+ public class Scenario {
+ private final FieldSpec.DataType _dataType;
+
+ public Scenario(FieldSpec.DataType dataType) {
+ _dataType = dataType;
+ }
+
+ public FieldSpec.DataType getDataType() {
+ return _dataType;
+ }
+
+ public FluentQueryTest.DeclaringTable getDeclaringTable(boolean
nullHandlingEnabled) {
+ return givenSingleNullableFieldTable(_dataType, nullHandlingEnabled);
+ }
+
+ @Override
+ public String toString() {
+ return "Scenario{" + "dt=" + _dataType + '}';
+ }
+ }
+
+ FluentQueryTest.TableWithSegments withDefaultData(Scenario scenario, boolean
nullHandlingEnabled) {
+ return scenario.getDeclaringTable(nullHandlingEnabled)
+ .onFirstInstance("myField",
+ "null",
+ "0",
+ "null",
+ "1",
+ "null",
+ "2",
+ "null",
+ "3",
+ "null",
+ "4",
+ "null"
+ ).andSegment("myField",
+ "null",
+ "5",
+ "null",
+ "6",
+ "null",
+ "7",
+ "null",
+ "8",
+ "null",
+ "9",
+ "null"
+ );
+ }
+
+ String minValue(FieldSpec.DataType dataType) {
+ switch (dataType) {
+ case INT: return "-2.147483648E9";
+ case LONG: return "-9.223372036854776E18";
+ case FLOAT: return "-Infinity";
+ case DOUBLE: return "-Infinity";
+ default:
+ throw new IllegalArgumentException("Unexpected type " + dataType);
+ }
+ }
+
+ String expectedAggrWithoutNull10(Scenario scenario) {
+ return minValue(scenario._dataType);
+ }
+
+ String expectedAggrWithoutNull15(Scenario scenario) {
+ return minValue(scenario._dataType);
+ }
+
+ String expectedAggrWithoutNull30(Scenario scenario) {
+ return minValue(scenario._dataType);
+ }
+
+ String expectedAggrWithoutNull35(Scenario scenario) {
+ return minValue(scenario._dataType);
+ }
+
+ String expectedAggrWithoutNull50(Scenario scenario) {
+ return minValue(scenario._dataType);
+ }
+
+ String expectedAggrWithoutNull55(Scenario scenario) {
+ return "0";
+ }
+
+ String expectedAggrWithoutNull70(Scenario scenario) {
+ return "3";
+ }
+
+ String expectedAggrWithoutNull75(Scenario scenario) {
+ return "4";
+ }
+
+ String expectedAggrWithoutNull90(Scenario scenario) {
+ return "7";
+ }
+
+ String expectedAggrWithoutNull100(Scenario scenario) {
+ return "9";
+ }
+
+ @Test(dataProvider = "scenarios")
+ void aggrWithoutNull(Scenario scenario) {
+
+ FluentQueryTest.TableWithSegments instance = withDefaultData(scenario,
false);
+
+ instance
+ .whenQuery("select " + callStr("myField", 10) + " from testTable")
+ .thenResultIs(getFinalResultColumnType(),
expectedAggrWithoutNull10(scenario));
+
+ instance
+ .whenQuery("select " + callStr("myField", 15) + " from testTable")
+ .thenResultIs(getFinalResultColumnType(),
expectedAggrWithoutNull15(scenario));
+
+ instance
+ .whenQuery("select " + callStr("myField", 30) + " from testTable")
+ .thenResultIs(getFinalResultColumnType(),
expectedAggrWithoutNull30(scenario));
+ instance
+ .whenQuery("select " + callStr("myField", 35) + " from testTable")
+ .thenResultIs(getFinalResultColumnType(),
expectedAggrWithoutNull35(scenario));
+
+ instance
+ .whenQuery("select " + callStr("myField", 50) + " from testTable")
+ .thenResultIs(getFinalResultColumnType(),
expectedAggrWithoutNull50(scenario));
+ instance
+ .whenQuery("select " + callStr("myField", 55) + " from testTable")
+ .thenResultIs(getFinalResultColumnType(),
expectedAggrWithoutNull55(scenario));
+
+ instance
+ .whenQuery("select " + callStr("myField", 70) + " from testTable")
+ .thenResultIs(getFinalResultColumnType(),
expectedAggrWithoutNull70(scenario));
+
+ instance
+ .whenQuery("select " + callStr("myField", 75) + " from testTable")
+ .thenResultIs(getFinalResultColumnType(),
expectedAggrWithoutNull75(scenario));
+
+ instance
+ .whenQuery("select " + callStr("myField", 90) + " from testTable")
+ .thenResultIs(getFinalResultColumnType(),
expectedAggrWithoutNull90(scenario));
+
+ instance
+ .whenQuery("select " + callStr("myField", 100) + " from testTable")
+ .thenResultIs(getFinalResultColumnType(),
expectedAggrWithoutNull100(scenario));
+ }
+
+ String expectedAggrWithNull10(Scenario scenario) {
+ return "1";
+ }
+
+ @Test(dataProvider = "scenarios")
+ void aggrWithNull10(Scenario scenario) {
+ withDefaultData(scenario, true)
+ .whenQuery("select " + callStr("myField", 10) + " from testTable")
+ .thenResultIs(getFinalResultColumnType(),
expectedAggrWithNull10(scenario));
+ }
+
+ String expectedAggrWithNull15(Scenario scenario) {
+ return "1";
+ }
+
+ @Test(dataProvider = "scenarios")
+ void aggrWithNull15(Scenario scenario) {
+ withDefaultData(scenario, true)
+ .whenQuery("select " + callStr("myField", 15) + " from testTable")
+ .thenResultIs(getFinalResultColumnType(),
expectedAggrWithNull15(scenario));
+ }
+
+ String expectedAggrWithNull30(Scenario scenario) {
+ return "3";
+ }
+
+ @Test(dataProvider = "scenarios")
+ void aggrWithNull30(Scenario scenario) {
+ withDefaultData(scenario, true)
+ .whenQuery("select " + callStr("myField", 30) + " from testTable")
+ .thenResultIs(getFinalResultColumnType(),
expectedAggrWithNull30(scenario));
+ }
+
+ String expectedAggrWithNull35(Scenario scenario) {
+ return "3";
+ }
+
+ @Test(dataProvider = "scenarios")
+ void aggrWithNull35(Scenario scenario) {
+ withDefaultData(scenario, true)
+ .whenQuery("select " + callStr("myField", 35) + " from testTable")
+ .thenResultIs(getFinalResultColumnType(),
expectedAggrWithNull35(scenario));
+ }
+
+ String expectedAggrWithNull50(Scenario scenario) {
+ return "5";
+ }
+
+ @Test(dataProvider = "scenarios")
+ void aggrWithNull50(Scenario scenario) {
+ withDefaultData(scenario, true)
+ .whenQuery("select " + callStr("myField", 50) + " from testTable")
+ .thenResultIs(getFinalResultColumnType(),
expectedAggrWithNull50(scenario));
+ }
+
+ String expectedAggrWithNull55(Scenario scenario) {
+ return "5";
+ }
+
+ @Test(dataProvider = "scenarios")
+ void aggrWithNull55(Scenario scenario) {
+ withDefaultData(scenario, true)
+ .whenQuery("select " + callStr("myField", 55) + " from testTable")
+ .thenResultIs(getFinalResultColumnType(),
expectedAggrWithNull55(scenario));
+ }
+
+ String expectedAggrWithNull70(Scenario scenario) {
+ return "7";
+ }
+
+ @Test(dataProvider = "scenarios")
+ void aggrWithNull70(Scenario scenario) {
+ withDefaultData(scenario, true)
+ .whenQuery("select " + callStr("myField", 70) + " from testTable")
+ .thenResultIs(getFinalResultColumnType(),
expectedAggrWithNull70(scenario));
+ }
+
+ String expectedAggrWithNull75(Scenario scenario) {
+ return "7";
+ }
+
+ @Test(dataProvider = "scenarios")
+ void aggrWithNull75(Scenario scenario) {
+ withDefaultData(scenario, true)
+ .whenQuery("select " + callStr("myField", 75) + " from testTable")
+ .thenResultIs(getFinalResultColumnType(),
expectedAggrWithNull75(scenario));
+ }
+
+ String expectedAggrWithNull100(Scenario scenario) {
+ return "9";
+ }
+
+ @Test(dataProvider = "scenarios")
+ void aggrWithNull100(Scenario scenario) {
+ withDefaultData(scenario, true)
+ .whenQuery("select " + callStr("myField", 100) + " from testTable")
+ .thenResultIs(getFinalResultColumnType(),
expectedAggrWithNull100(scenario));
+ }
+
+ @Test(dataProvider = "scenarios")
+ void aggrSvWithoutNull(Scenario scenario) {
+ scenario.getDeclaringTable(false)
+ .onFirstInstance("myField",
+ "null",
+ "1",
+ "null"
+ ).andSegment("myField",
+ "9"
+ ).andSegment("myField",
+ "null",
+ "null",
+ "null"
+ ).whenQuery("select $segmentName, " + callStr("myField", 50) + " from
testTable "
+ + "group by $segmentName order by $segmentName")
+ .thenResultIs("STRING | " + getFinalResultColumnType(),
+ "testTable_0 | " + minValue(scenario._dataType),
+ "testTable_1 | 9",
+ "testTable_2 | " + minValue(scenario._dataType)
+ );
+ }
+
+ @Test(dataProvider = "scenarios")
+ void aggrSvWithNull(Scenario scenario) {
+ scenario.getDeclaringTable(true)
+ .onFirstInstance("myField",
+ "null",
+ "1",
+ "null"
+ ).andSegment("myField",
+ "9"
+ ).andSegment("myField",
+ "null",
+ "null",
+ "null"
+ ).whenQuery("select $segmentName, " + callStr("myField", 50) + " from
testTable "
+ + "group by $segmentName order by $segmentName")
+ .thenResultIs("STRING | " + getFinalResultColumnType(),
+ "testTable_0 | 1",
+ "testTable_1 | 9",
+ "testTable_2 | null"
+ );
+ }
+}
diff --git
a/pinot-core/src/test/java/org/apache/pinot/core/query/aggregation/function/PercentileAggregationFunctionTest.java
b/pinot-core/src/test/java/org/apache/pinot/core/query/aggregation/function/PercentileAggregationFunctionTest.java
new file mode 100644
index 0000000000..3c2ecdde01
--- /dev/null
+++
b/pinot-core/src/test/java/org/apache/pinot/core/query/aggregation/function/PercentileAggregationFunctionTest.java
@@ -0,0 +1,27 @@
+/**
+ * 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.pinot.core.query.aggregation.function;
+
+public class PercentileAggregationFunctionTest extends
AbstractPercentileAggregationFunctionTest {
+ @Override
+ public String callStr(String column, int percent) {
+ return "PERCENTILE(" + column + ", " + percent + ")";
+ }
+}
diff --git
a/pinot-core/src/test/java/org/apache/pinot/core/query/aggregation/function/PercentileEstAggregationFunctionTest.java
b/pinot-core/src/test/java/org/apache/pinot/core/query/aggregation/function/PercentileEstAggregationFunctionTest.java
new file mode 100644
index 0000000000..4dda1614b7
--- /dev/null
+++
b/pinot-core/src/test/java/org/apache/pinot/core/query/aggregation/function/PercentileEstAggregationFunctionTest.java
@@ -0,0 +1,45 @@
+/**
+ * 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.pinot.core.query.aggregation.function;
+
+import org.apache.pinot.spi.data.FieldSpec;
+
+
+public class PercentileEstAggregationFunctionTest extends
AbstractPercentileAggregationFunctionTest {
+ @Override
+ public String callStr(String column, int percent) {
+ return "PERCENTILEEST(" + column + ", " + percent + ")";
+ }
+
+ @Override
+ public String getFinalResultColumnType() {
+ return "LONG";
+ }
+
+ String minValue(FieldSpec.DataType dataType) {
+ switch (dataType) {
+ case INT: return "-2147483648";
+ case LONG: return "-9223372036854775808";
+ case FLOAT: return "-9223372036854775808";
+ case DOUBLE: return "-9223372036854775808";
+ default:
+ throw new IllegalArgumentException("Unexpected type " + dataType);
+ }
+ }
+}
diff --git
a/pinot-core/src/test/java/org/apache/pinot/core/query/aggregation/function/PercentileKLLAggregationFunctionTest.java
b/pinot-core/src/test/java/org/apache/pinot/core/query/aggregation/function/PercentileKLLAggregationFunctionTest.java
new file mode 100644
index 0000000000..1eb6c991c2
--- /dev/null
+++
b/pinot-core/src/test/java/org/apache/pinot/core/query/aggregation/function/PercentileKLLAggregationFunctionTest.java
@@ -0,0 +1,47 @@
+/**
+ * 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.pinot.core.query.aggregation.function;
+
+
+public class PercentileKLLAggregationFunctionTest extends
AbstractPercentileAggregationFunctionTest {
+ @Override
+ public String callStr(String column, int percent) {
+ return "PERCENTILEKLL(" + column + ", " + percent + ")";
+ }
+
+ @Override
+ String expectedAggrWithNull10(Scenario scenario) {
+ return "0";
+ }
+
+ @Override
+ String expectedAggrWithNull30(Scenario scenario) {
+ return "2";
+ }
+
+ @Override
+ String expectedAggrWithNull50(Scenario scenario) {
+ return "4";
+ }
+
+ @Override
+ String expectedAggrWithNull70(Scenario scenario) {
+ return "6";
+ }
+}
diff --git
a/pinot-core/src/test/java/org/apache/pinot/core/query/aggregation/function/PercentileSmartTDigestAggregationFunctionTest.java
b/pinot-core/src/test/java/org/apache/pinot/core/query/aggregation/function/PercentileSmartTDigestAggregationFunctionTest.java
new file mode 100644
index 0000000000..b1eb471c70
--- /dev/null
+++
b/pinot-core/src/test/java/org/apache/pinot/core/query/aggregation/function/PercentileSmartTDigestAggregationFunctionTest.java
@@ -0,0 +1,87 @@
+/**
+ * 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.pinot.core.query.aggregation.function;
+
+
+public class PercentileSmartTDigestAggregationFunctionTest {
+
+ public static class WithHighThreshold extends
AbstractPercentileAggregationFunctionTest {
+ @Override
+ public String callStr(String column, int percent) {
+ return "PERCENTILESMARTTDIGEST(" + column + ", " + percent + ",
'THRESHOLD=10000')";
+ }
+ }
+
+ public static class WithSmallThreshold extends
AbstractPercentileAggregationFunctionTest {
+ @Override
+ public String callStr(String column, int percent) {
+ return "PERCENTILESMARTTDIGEST(" + column + ", " + percent + ",
'THRESHOLD=1')";
+ }
+
+ @Override
+ String expectedAggrWithNull10(Scenario scenario) {
+ return "0.5";
+ }
+
+ @Override
+ String expectedAggrWithNull30(Scenario scenario) {
+ return "2.5";
+ }
+
+ @Override
+ String expectedAggrWithNull50(Scenario scenario) {
+ return "4.5";
+ }
+
+ @Override
+ String expectedAggrWithNull70(Scenario scenario) {
+ return "6.5";
+ }
+
+ @Override
+ String expectedAggrWithoutNull55(Scenario scenario) {
+ switch (scenario.getDataType()) {
+ case INT:
+ return "-6.442450943999939E8";
+ case LONG:
+ return "-2.7670116110564065E18";
+ case FLOAT:
+ case DOUBLE:
+ return "-Infinity";
+ default:
+ throw new IllegalArgumentException("Unsupported datatype " +
scenario.getDataType());
+ }
+ }
+
+ @Override
+ String expectedAggrWithoutNull75(Scenario scenario) {
+ return "4.0";
+ }
+
+ @Override
+ String expectedAggrWithoutNull90(Scenario scenario) {
+ return "7.100000000000001";
+ }
+
+ @Override
+ String expectedAggrWithoutNull100(Scenario scenario) {
+ return super.expectedAggrWithoutNull100(scenario);
+ }
+ }
+}
diff --git
a/pinot-core/src/test/java/org/apache/pinot/queries/FluentQueryTest.java
b/pinot-core/src/test/java/org/apache/pinot/queries/FluentQueryTest.java
index ba6d22c429..8bd93cd42e 100644
--- a/pinot-core/src/test/java/org/apache/pinot/queries/FluentQueryTest.java
+++ b/pinot-core/src/test/java/org/apache/pinot/queries/FluentQueryTest.java
@@ -112,7 +112,7 @@ public class FluentQueryTest {
}
}
- static class TableWithSegments {
+ public static class TableWithSegments {
protected final TableConfig _tableConfig;
protected final Schema _schema;
protected final File _indexDir;
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