[GitHub] [incubator-pinot] mayankshriv commented on a change in pull request #3934: support abs, ceil, exp, floor, ln, log, sqrt math transform function

[GitBox <gi...@apache.org>]

mayankshriv commented on a change in pull request #3934: support abs,ceil,exp,floor,ln,log,sqrt math transform function
URL: https://github.com/apache/incubator-pinot/pull/3934#discussion_r290121768
 
 

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 File path: pinot-core/src/main/java/org/apache/pinot/core/operator/transform/function/SingleParamMathTransformFunction.java
 ##########
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+/**
+ * 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.operator.transform.function;
+
+import java.util.Arrays;
+import java.util.List;
+import java.util.Map;
+import javax.annotation.Nonnull;
+import org.apache.pinot.core.common.DataSource;
+import org.apache.pinot.core.operator.blocks.ProjectionBlock;
+import org.apache.pinot.core.operator.transform.TransformResultMetadata;
+import org.apache.pinot.core.plan.DocIdSetPlanNode;
+import org.apache.pinot.core.util.ArrayCopyUtils;
+
+
+public abstract class SingleParamMathTransformFunction extends BaseTransformFunction {
+  private double _firstLiteral;
+  private TransformFunction _firstTransformFunction;
+  private double[] _result;
+
+  @Override
+  public abstract String getName();
+
+  @Override
+  public void init(@Nonnull List<TransformFunction> arguments, @Nonnull Map<String, DataSource> dataSourceMap) {
+    // Check that there are exactly 1 arguments
+    if (arguments.size() != 1) {
+      throw new IllegalArgumentException("Exactly 1 arguments are required for " + getName() + " transform function");
+    }
+
+    TransformFunction firstArgument = arguments.get(0);
+    if (firstArgument instanceof LiteralTransformFunction) {
+      _firstLiteral = Double.parseDouble(((LiteralTransformFunction) firstArgument).getLiteral());
+    } else {
+      if (!firstArgument.getResultMetadata().isSingleValue()) {
+        throw new IllegalArgumentException("First argument of " + getName() + " transform function must be single-valued");
+      }
+      _firstTransformFunction = firstArgument;
+    }
+  }
+
+  @Override
+  public TransformResultMetadata getResultMetadata() {
+    return DOUBLE_SV_NO_DICTIONARY_METADATA;
+  }
+
+  @SuppressWarnings("Duplicates")
+  @Override
+  public double[] transformToDoubleValuesSV(@Nonnull ProjectionBlock projectionBlock) {
+    if (_result == null) {
+      _result = new double[DocIdSetPlanNode.MAX_DOC_PER_CALL];
+    }
+
+    int length = projectionBlock.getNumDocs();
+
+    if (_firstTransformFunction == null) {
+      Arrays.fill(_result, 0, length, _firstLiteral);
+    } else {
+      switch (_firstTransformFunction.getResultMetadata().getDataType()) {
+        case INT:
+          int[] intValues = _firstTransformFunction.transformToIntValuesSV(projectionBlock);
+          for (int i = 0; i < length; i++) {
+            _result[i] = transformInt(intValues[i]);
+          }
+          break;
+        case LONG:
+          long[] longValues = _firstTransformFunction.transformToLongValuesSV(projectionBlock);
+          for (int i = 0; i < length; i++) {
+            _result[i] = transformLong(longValues[i]);
+          }
+          break;
+        case FLOAT:
+          float[] floatValues = _firstTransformFunction.transformToFloatValuesSV(projectionBlock);
+          for (int i = 0; i < length; i++) {
+            _result[i] = transformFloat(floatValues[i]);
+          }
+          break;
+        case DOUBLE:
+          double[] doubleValues = _firstTransformFunction.transformToDoubleValuesSV(projectionBlock);
+          for (int i = 0; i < length; i++) {
+            _result[i] = transformDouble(doubleValues[i]);
+          }
+          break;
+        case STRING:
+          String[] stringValues = _firstTransformFunction.transformToStringValuesSV(projectionBlock);
+          for (int i = 0; i < length; i++) {
+            _result[i] = transformString(stringValues[i]);
+          }
+          break;
+        default:
+          throw new UnsupportedOperationException();
+      }
+    }
+
+    return _result;
+  }
+
+  protected double transformInt(int value) {
+    return transformDouble(value);
+  }
+
+  protected double transformLong(long value) {
+    return transformDouble(value);
+  }
+
+  protected double transformFloat(float value) {
+    return transformDouble(value);
+  }
+
+  protected double transformDouble(double value) {
+    return transformDouble(value);
+  }
+
+  protected double transformString(String value) {
+    double doubleValue = Double.parseDouble(value);
+    return transformDouble(doubleValue);
+  }
+
+  public static class AbsTransformFunction extends SingleParamMathTransformFunction {
+    public static final String FUNCTION_NAME = "abs";
+
+    @Override
+    public String getName() {
+      return FUNCTION_NAME;
+    }
+
+    @Override
+    protected double transformInt(int value) {
+      return Math.abs(value);
+    }
+
+    @Override
+    protected double transformLong(long value) {
+      return Math.abs(value);
+    }
+
+    @Override
+    protected double transformFloat(float value) {
+      return Math.abs(value);
+    }
+
+    @Override
+    protected double transformDouble(double value) {
+      return Math.abs(value);
+    }
+  }
+
+  public static class CeilTransformFunction extends SingleParamMathTransformFunction {
+    public static final String FUNCTION_NAME = "ceil";
+
+    @Override
+    public String getName() {
+      return FUNCTION_NAME;
+    }
+
+    @Override
+    protected double transformDouble(double value) {
+      return Math.ceil(value);
+    }
+  }
+
+  public static class ExpTransformFunction extends SingleParamMathTransformFunction {
+    public static final String FUNCTION_NAME = "exp";
+
+    @Override
+    public String getName() {
+      return FUNCTION_NAME;
+    }
+
+    @Override
+    protected double transformDouble(double value) {
+      return Math.exp(value);
+    }
+  }
+
+  public static class FloorTransformFunction extends SingleParamMathTransformFunction {
+    public static final String FUNCTION_NAME = "floor";
+
+    @Override
+    public String getName() {
+      return FUNCTION_NAME;
+    }
+
+    @Override
+    protected double transformDouble(double value) {
+      return Math.floor(value);
+    }
+  }
+
+  public static class LnTransformFunction extends SingleParamMathTransformFunction {
+    public static final String FUNCTION_NAME = "ln";
+
+    @Override
+    public String getName() {
+      return FUNCTION_NAME;
+    }
+
+    @Override
+    protected double transformDouble(double value) {
+      return Math.log(value);
+    }
+  }
+
+  public static class Log10TransformFunction extends SingleParamMathTransformFunction {
 
 Review comment:
   @xueyumusic In that case, could you please take out the ln and log10 from this PR? Otherwise we will end up with three different log functions.

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