| /* |
| * 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.datasketches.hive.theta; |
| |
| import static org.apache.datasketches.Util.DEFAULT_NOMINAL_ENTRIES; |
| import static org.apache.datasketches.Util.DEFAULT_UPDATE_SEED; |
| |
| import java.util.Arrays; |
| |
| import org.apache.hadoop.hive.ql.exec.Description; |
| import org.apache.hadoop.hive.ql.exec.UDFArgumentException; |
| import org.apache.hadoop.hive.ql.exec.UDFArgumentTypeException; |
| import org.apache.hadoop.hive.ql.metadata.HiveException; |
| import org.apache.hadoop.hive.ql.parse.SemanticException; |
| import org.apache.hadoop.hive.ql.udf.generic.AbstractGenericUDAFResolver; |
| import org.apache.hadoop.hive.ql.udf.generic.GenericUDAFEvaluator; |
| import org.apache.hadoop.hive.ql.udf.generic.GenericUDAFParameterInfo; |
| import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector; |
| import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspectorFactory; |
| import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspectorUtils; |
| import org.apache.hadoop.hive.serde2.objectinspector.PrimitiveObjectInspector; |
| import org.apache.hadoop.hive.serde2.objectinspector.PrimitiveObjectInspector.PrimitiveCategory; |
| import org.apache.hadoop.hive.serde2.objectinspector.StructObjectInspector; |
| import org.apache.hadoop.hive.serde2.objectinspector.primitive.PrimitiveObjectInspectorFactory; |
| import org.apache.hadoop.hive.serde2.objectinspector.primitive.PrimitiveObjectInspectorUtils; |
| |
| /** |
| * <p><b>Note</b> Strings as raw data values are encoded as a UTF-16 VARCHAR |
| * prior to being submitted to the sketch. If the user requires a different |
| * encoding for cross-platform compatibility, it is recommended that these values be encoded prior |
| * to being submitted and then typed as a BINARY byte[].</p> |
| */ |
| @Description( |
| name = "dataToSketch", |
| value = "_FUNC_(expr, size, prob, seed) - " |
| + "Compute a sketch of given size, sampling probability and seed on data 'expr'", |
| extended = "Example:\n" |
| + "> SELECT dataToSketch(val, 16384) FROM src;\n" |
| + "The return value is a binary blob that can be operated on by other sketch related functions." |
| + " The sketch size is optional, must be a power of 2 and " |
| + "controls the relative error expected from the sketch." |
| + " A size of 16384 can be expected to yield errors of roughly +-1.5% in the estimation of uniques." |
| + " The default size is defined in the sketches-core library " |
| + "and at the time of this writing was 4096 (about 3% error)." |
| + " The sampling probability is optional and must be from 0 to 1. The default is 1 (no sampling)" |
| + " The seed is optional, and using it is not recommended unless you really know why you need it") |
| @SuppressWarnings("javadoc") |
| public class DataToSketchUDAF extends AbstractGenericUDAFResolver { |
| |
| /** |
| * Performs argument number and type validation. DataToSketch expects |
| * to receive between one and four arguments. |
| * <ul> |
| * <li>The first (required) is the value to add to the sketch and must be a primitive.</li> |
| * |
| * <li>The second (optional) is the sketch size to use. This must be an integral value |
| * and must be constant.</li> |
| * |
| * <li>The third (optional) is the sampling probability and is a floating point value between |
| * 0.0 and 1.0. It must be a constant</li> |
| * |
| * <li>The fourth (optional) is an update seed. |
| * It must be an integral value and must be constant.</li> |
| * </ul> |
| * |
| * @see org.apache.hadoop.hive.ql.udf.generic.AbstractGenericUDAFResolver |
| * #getEvaluator(org.apache.hadoop.hive.ql.udf.generic.GenericUDAFParameterInfo) |
| * |
| * @param info Parameter info to validate |
| * @return The GenericUDAFEvaluator that should be used to calculate the function. |
| */ |
| @Override |
| public GenericUDAFEvaluator getEvaluator(final GenericUDAFParameterInfo info) throws SemanticException { |
| final ObjectInspector[] parameters = info.getParameterObjectInspectors(); |
| |
| // Validate the correct number of parameters |
| if (parameters.length < 1) { |
| throw new UDFArgumentException("Please specify at least 1 argument"); |
| } |
| |
| if (parameters.length > 4) { |
| throw new UDFArgumentException("Please specify no more than 4 arguments"); |
| } |
| |
| // Validate first parameter type |
| ObjectInspectorValidator.validateCategoryPrimitive(parameters[0], 0); |
| |
| // Validate second argument if present |
| if (parameters.length > 1) { |
| ObjectInspectorValidator.validateIntegralParameter(parameters[1], 1); |
| if (!ObjectInspectorUtils.isConstantObjectInspector(parameters[1])) { |
| throw new UDFArgumentTypeException(1, "The second argument must be a constant"); |
| } |
| } |
| |
| // Validate third argument if present |
| if (parameters.length > 2) { |
| ObjectInspectorValidator.validateFloatingPointParameter(parameters[2], 2); |
| if (!ObjectInspectorUtils.isConstantObjectInspector(parameters[2])) { |
| throw new UDFArgumentTypeException(2, "The third argument must be a constant"); |
| } |
| } |
| |
| // Validate fourth argument if present |
| if (parameters.length > 3) { |
| ObjectInspectorValidator.validateIntegralParameter(parameters[3], 3); |
| if (!ObjectInspectorUtils.isConstantObjectInspector(parameters[3])) { |
| throw new UDFArgumentTypeException(3, "The fourth argument must be a constant"); |
| } |
| } |
| |
| return new DataToSketchEvaluator(); |
| } |
| |
| public static class DataToSketchEvaluator extends UnionEvaluator { |
| |
| // FOR PARTIAL1 and COMPLETE modes: ObjectInspectors for original data |
| private transient PrimitiveObjectInspector samplingProbabilityObjectInspector; |
| |
| |
| /* |
| * (non-Javadoc) |
| * |
| * @see |
| * org.apache.hadoop.hive.ql.udf.generic.GenericUDAFEvaluator#init(org.apache |
| * .hadoop.hive.ql.udf.generic.GenericUDAFEvaluator.Mode, |
| * org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector[]) |
| */ |
| @Override |
| public ObjectInspector init(final Mode mode, final ObjectInspector[] parameters) throws HiveException { |
| super.init(mode, parameters); |
| |
| if (mode == Mode.PARTIAL1 || mode == Mode.COMPLETE) { |
| // input is original data |
| this.inputObjectInspector = (PrimitiveObjectInspector) parameters[0]; |
| if (parameters.length > 1) { |
| this.nominalEntriesObjectInspector = (PrimitiveObjectInspector) parameters[1]; |
| } |
| if (parameters.length > 2) { |
| this.samplingProbabilityObjectInspector = (PrimitiveObjectInspector) parameters[2]; |
| } |
| if (parameters.length > 3) { |
| this.seedObjectInspector = (PrimitiveObjectInspector) parameters[3]; |
| } |
| } else { |
| // input for PARTIAL2 and FINAL is the output from PARTIAL1 |
| this.intermediateObjectInspector = (StructObjectInspector) parameters[0]; |
| } |
| |
| if (mode == Mode.PARTIAL1 || mode == Mode.PARTIAL2) { |
| // intermediate results need to include the the nominal number of entries and the seed |
| return ObjectInspectorFactory.getStandardStructObjectInspector( |
| Arrays.asList(NOMINAL_ENTRIES_FIELD, SEED_FIELD, SKETCH_FIELD), |
| Arrays.asList( |
| PrimitiveObjectInspectorFactory.getPrimitiveWritableObjectInspector(PrimitiveCategory.INT), |
| PrimitiveObjectInspectorFactory.getPrimitiveWritableObjectInspector(PrimitiveCategory.LONG), |
| PrimitiveObjectInspectorFactory.getPrimitiveWritableObjectInspector(PrimitiveCategory.BINARY) |
| ) |
| ); |
| } |
| // final results include just the sketch |
| return PrimitiveObjectInspectorFactory.getPrimitiveWritableObjectInspector(PrimitiveCategory.BINARY); |
| } |
| |
| /* |
| * (non-Javadoc) |
| * |
| * @see |
| * org.apache.hadoop.hive.ql.udf.generic.GenericUDAFEvaluator#iterate(org |
| * .apache |
| * .hadoop.hive.ql.udf.generic.GenericUDAFEvaluator.AggregationBuffer, |
| * java.lang.Object[]) |
| */ |
| @Override |
| public void iterate(final @SuppressWarnings("deprecation") AggregationBuffer agg, |
| final Object[] parameters) throws HiveException { |
| if (parameters[0] == null) { return; } |
| final UnionState state = (UnionState) agg; |
| if (!state.isInitialized()) { |
| initializeState(state, parameters); |
| } |
| state.update(parameters[0], this.inputObjectInspector); |
| } |
| |
| private void initializeState(final UnionState state, final Object[] parameters) { |
| int sketchSize = DEFAULT_NOMINAL_ENTRIES; |
| if (this.nominalEntriesObjectInspector != null) { |
| sketchSize = PrimitiveObjectInspectorUtils.getInt(parameters[1], this.nominalEntriesObjectInspector); |
| } |
| float samplingProbability = UnionState.DEFAULT_SAMPLING_PROBABILITY; |
| if (this.samplingProbabilityObjectInspector != null) { |
| samplingProbability = PrimitiveObjectInspectorUtils.getFloat(parameters[2], |
| this.samplingProbabilityObjectInspector); |
| } |
| long seed = DEFAULT_UPDATE_SEED; |
| if (this.seedObjectInspector != null) { |
| seed = PrimitiveObjectInspectorUtils.getLong(parameters[3], this.seedObjectInspector); |
| } |
| state.init(sketchSize, samplingProbability, seed); |
| } |
| |
| } |
| |
| } |