jasperjiaguo commented on code in PR #8724:
URL: https://github.com/apache/pinot/pull/8724#discussion_r878565911


##########
pinot-core/src/main/java/org/apache/pinot/core/query/aggregation/function/HistogramAggregationFunction.java:
##########
@@ -0,0 +1,358 @@
+/**
+ * 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 com.google.common.base.Preconditions;
+import it.unimi.dsi.fastutil.doubles.DoubleArrayList;
+import java.util.List;
+import java.util.Map;
+import org.apache.pinot.common.request.context.ExpressionContext;
+import org.apache.pinot.common.utils.DataSchema.ColumnDataType;
+import org.apache.pinot.core.common.BlockValSet;
+import org.apache.pinot.core.query.aggregation.AggregationResultHolder;
+import org.apache.pinot.core.query.aggregation.ObjectAggregationResultHolder;
+import org.apache.pinot.core.query.aggregation.groupby.GroupByResultHolder;
+import 
org.apache.pinot.core.query.aggregation.groupby.ObjectGroupByResultHolder;
+import org.apache.pinot.core.query.aggregation.utils.DoubleVectorOpUtils;
+import org.apache.pinot.segment.spi.AggregationFunctionType;
+
+
+/**
+ * Histogram for single-value numerical columns
+ * usage example:
+ * `Histogram(columnName, ARRAY[0,1,10,100])` to specify bins (0,1], (1,10], 
(10,1000] or
+ * `Histogram(columnName, 0, 1000, 10)` to specify 10 equal-length bins 
(0,100], (100,200], ..., (900,1000]
+ */
+public class HistogramAggregationFunction extends 
BaseSingleInputAggregationFunction<DoubleArrayList, DoubleArrayList> {
+
+  private static final String ARRAY_CONSTRUCTOR = "arrayvalueconstructor";
+  private static final int INVALID_BIN = -1;
+  double[] _bucketEdges;
+  boolean _isEqualLength = false;
+  double _lower;
+  double _upper;
+  double _binLength;
+
+  public HistogramAggregationFunction(List<ExpressionContext> arguments) {
+    super(arguments.get(0));
+    int numArguments = arguments.size();
+    Preconditions.checkArgument(numArguments == 4 || numArguments == 2, 
"Histogram expects 2 or 4 arguments, got: %s;"
+        + "usage example: `Histogram(columnName, ARRAY[0,1,10,100])` to 
specify bins (0,1], (1,10], (10,1000] or "
+        + "`Histogram(columnName, 0, 1000, 10)` to specify 10 equal-length 
bins "
+        + "(0,100], (100,200], ..., (900,1000]", numArguments);
+    if (numArguments == 2) {
+      ExpressionContext arrayExpression = arguments.get(1);
+      Preconditions.checkArgument(
+          (arrayExpression.getType() == ExpressionContext.Type.FUNCTION) && 
(arrayExpression.getFunction()
+              .getFunctionName().equals(ARRAY_CONSTRUCTOR)),
+          "Please use the format of `Histogram(columnName, ARRAY[1,10,100])` 
to specify the bin edges");
+      _bucketEdges = parseVector(arrayExpression.getFunction().getArguments());
+      _lower = _bucketEdges[0];
+      _upper = _bucketEdges[_bucketEdges.length - 1];
+    } else {
+      _isEqualLength = true;
+      _lower = Double.parseDouble(arguments.get(1).getLiteral());
+      _upper = Double.parseDouble(arguments.get(2).getLiteral());
+      int numBins = Integer.parseInt(arguments.get(3).getLiteral());
+      Preconditions.checkArgument(_upper > _lower,
+          "The right most edge must be greater than left most edge, given %s 
and %s", _lower, _upper);
+      Preconditions.checkArgument(numBins > 0, "The number of bins must be 
greater than zero, given %s", numBins);
+      _bucketEdges = new double[numBins + 1];
+      _bucketEdges[0] = _lower;
+      _bucketEdges[numBins] = _upper;
+      _binLength = (_upper - _lower) / numBins;
+      for (int i = 1; i < numBins; i++) {
+        _bucketEdges[i] = i * _binLength + _lower;
+      }
+    }
+  }
+
+  int getNumBins() {
+    return _bucketEdges.length - 1;
+  }
+
+  int getNumEdges() {
+    return _bucketEdges.length;
+  }
+
+  private double[] parseVector(List<ExpressionContext> arrayStr) {
+    int len = arrayStr.size();
+    Preconditions.checkArgument(len > 1, "The number of bin edges must be 
greater than 1");
+    double[] ret = new double[len];
+    for (int i = 0; i < len; i++) {
+      ret[i] = Double.parseDouble(arrayStr.get(i).getLiteral());
+    }
+    for (int i = 1; i < len; i++) {
+      Preconditions.checkState(ret[i] > ret[i - 1], "the bin edges must be 
strictly increasing");
+    }

Review Comment:
   Resolved



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