[GitHub] [pinot] andimiller commented on a diff in pull request #10347: Add Sketch Creation Scalar Functions for HLL/Theta

["andimiller (via GitHub)" <gi...@apache.org>]

andimiller commented on code in PR #10347:
URL: https://github.com/apache/pinot/pull/10347#discussion_r1119006797


##########
pinot-core/src/main/java/org/apache/pinot/core/function/scalar/SketchFunctions.java:
##########
@@ -0,0 +1,103 @@
+/**
+ * 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.function.scalar;
+
+import com.clearspring.analytics.stream.cardinality.HyperLogLog;
+import java.math.BigDecimal;
+import org.apache.datasketches.theta.Sketches;
+import org.apache.datasketches.theta.UpdateSketch;
+import org.apache.pinot.core.common.ObjectSerDeUtils;
+import org.apache.pinot.spi.annotations.ScalarFunction;
+import org.apache.pinot.spi.utils.CommonConstants;
+
+
+/**
+ * Inbuilt Sketch Transformation Functions
+ * The functions can be used as UDFs in Query when added in the FunctionRegistry.
+ * @ScalarFunction annotation is used with each method for the registration
+ *
+ * These are intended to be used during ingestion to create sketches from raw data, which can be rolled up later.
+ *
+ * Note this is defined in pinot-core rather than pinot-common because pinot-core has dependencies on
+ * datasketches/clearspring analytics.
+ *
+ * Example usage:
+ * {
+ *   "transformConfigs": [
+ *     {
+ *       "columnName": "players",
+ *       "transformFunction": "DistinctCountRawThetaSketch(playerID)"
+ *     },
+ *     {
+ *       "columnName": "names",
+ *       "transformFunction": "DistinctCountRawHLL(playerName)"
+ *     }
+ *   ]
+ * }
+ */
+public class SketchFunctions {
+  private SketchFunctions() {
+  }
+
+  /**
+   * Create a Theta Sketch containing the input
+   *
+   * @param input an Object we want to insert into the sketch, may be null to return an empty sketch
+   * @return serialized theta sketch as bytes
+   */
+  @ScalarFunction(nullableParameters = true)
+  public static byte[] distinctCountRawThetaSketch(Object input) {
+    // TODO make nominal entries configurable
+    UpdateSketch sketch =
+        Sketches.updateSketchBuilder().setNominalEntries(CommonConstants.Helix.DEFAULT_THETA_SKETCH_NOMINAL_ENTRIES)
+            .build();
+    if (input instanceof String) {
+      sketch.update((String) input);
+    } else if (input instanceof Long) {
+      sketch.update((Long) input);
+    } else if (input instanceof Integer) {
+      sketch.update((Integer) input);
+    } else if (input instanceof BigDecimal) {
+      sketch.update(((BigDecimal) input).toString());
+    } else if (input instanceof Float) {
+      sketch.update((Float) input);
+    } else if (input instanceof Double) {
+      sketch.update((Double) input);
+    } else if (input instanceof byte[]) {
+      sketch.update((byte[]) input);
+    }
+    return ObjectSerDeUtils.DATA_SKETCH_SER_DE.serialize(sketch.compact());

Review Comment:
   the intention of this PR is indeed to make one result per row, which can then be rolled up using #10328



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