snleee commented on code in PR #9910: URL: https://github.com/apache/pinot/pull/9910#discussion_r1041821415
########## pinot-core/src/test/java/org/apache/pinot/queries/VarianceQueriesTest.java: ########## @@ -0,0 +1,446 @@ +/** + * 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.queries; + +import java.io.File; +import java.util.ArrayList; +import java.util.Arrays; +import java.util.List; +import java.util.Random; +import org.apache.commons.io.FileUtils; +import org.apache.commons.math3.stat.descriptive.moment.StandardDeviation; +import org.apache.commons.math3.stat.descriptive.moment.Variance; +import org.apache.commons.math3.util.Precision; +import org.apache.pinot.common.response.broker.BrokerResponseNative; +import org.apache.pinot.core.operator.blocks.results.AggregationResultsBlock; +import org.apache.pinot.core.operator.blocks.results.GroupByResultsBlock; +import org.apache.pinot.core.operator.query.AggregationOperator; +import org.apache.pinot.core.operator.query.GroupByOperator; +import org.apache.pinot.core.query.aggregation.groupby.AggregationGroupByResult; +import org.apache.pinot.segment.local.customobject.VarianceTuple; +import org.apache.pinot.segment.local.indexsegment.immutable.ImmutableSegmentLoader; +import org.apache.pinot.segment.local.segment.creator.impl.SegmentIndexCreationDriverImpl; +import org.apache.pinot.segment.local.segment.readers.GenericRowRecordReader; +import org.apache.pinot.segment.spi.ImmutableSegment; +import org.apache.pinot.segment.spi.IndexSegment; +import org.apache.pinot.segment.spi.creator.SegmentGeneratorConfig; +import org.apache.pinot.spi.config.table.TableConfig; +import org.apache.pinot.spi.config.table.TableType; +import org.apache.pinot.spi.data.FieldSpec; +import org.apache.pinot.spi.data.Schema; +import org.apache.pinot.spi.data.readers.GenericRow; +import org.apache.pinot.spi.utils.ReadMode; +import org.apache.pinot.spi.utils.builder.TableConfigBuilder; +import org.testng.annotations.BeforeClass; +import org.testng.annotations.Test; + +import static org.testng.Assert.assertEquals; +import static org.testng.Assert.assertNotNull; +import static org.testng.Assert.assertTrue; + + +public class VarianceQueriesTest extends BaseQueriesTest { + + private static final File INDEX_DIR = new File(FileUtils.getTempDirectory(), "VarianceQueriesTest"); + + private static final String RAW_TABLE_NAME = "testTable"; + private static final String SEGMENT_NAME = "testSegment"; + + private static final int NUM_RECORDS = 2000; + private static final int NUM_GROUPS = 10; + private static final int MAX_VALUE = 500; + private static final double RELATIVE_EPSILON = 0.0001; + private static final double DELTA = 0.0001; + + private static final String INT_COLUMN = "intColumn"; + private static final String LONG_COLUMN = "longColumn"; + private static final String FLOAT_COLUMN = "floatColumn"; + private static final String DOUBLE_COLUMN = "doubleColumn"; + private static final String GROUP_BY_COLUMN = "groupByColumn"; + + private static final Schema SCHEMA = + new Schema.SchemaBuilder().addSingleValueDimension(INT_COLUMN, FieldSpec.DataType.INT) + .addSingleValueDimension(LONG_COLUMN, FieldSpec.DataType.LONG) + .addSingleValueDimension(FLOAT_COLUMN, FieldSpec.DataType.FLOAT) + .addSingleValueDimension(DOUBLE_COLUMN, FieldSpec.DataType.DOUBLE) + .addSingleValueDimension(GROUP_BY_COLUMN, FieldSpec.DataType.DOUBLE).build(); + + private static final TableConfig TABLE_CONFIG = + new TableConfigBuilder(TableType.OFFLINE).setTableName(RAW_TABLE_NAME).build(); + + private IndexSegment _indexSegment; + private List<IndexSegment> _indexSegments; + + int[] _intValues = new int[NUM_RECORDS]; + long[] _longValues = new long[NUM_RECORDS]; + float[] _floatValues = new float[NUM_RECORDS]; + double[] _doubleValues = new double[NUM_RECORDS]; + + @Override + protected String getFilter() { + // filter out half of the rows based on group id + return " WHERE groupByColumn < " + (NUM_GROUPS / 2); + } + + @Override + protected IndexSegment getIndexSegment() { + return _indexSegment; + } + + @Override + protected List<IndexSegment> getIndexSegments() { + return _indexSegments; + } + + @BeforeClass + public void setUp() + throws Exception { + FileUtils.deleteDirectory(INDEX_DIR); + Random random = new Random(); + List<GenericRow> records = new ArrayList<>(NUM_RECORDS); + + for (int i = 0; i < NUM_RECORDS; i++) { + GenericRow record = new GenericRow(); + int intValue = -MAX_VALUE + random.nextInt() * 2 * MAX_VALUE; + long longValue = -MAX_VALUE + random.nextLong() * 2 * MAX_VALUE; + float floatValue = -MAX_VALUE + random.nextFloat() * 2 * MAX_VALUE; + double doubleValue = -MAX_VALUE + random.nextDouble() * 2 * MAX_VALUE; + + _intValues[i] = intValue; + _longValues[i] = longValue; + _floatValues[i] = floatValue; + _doubleValues[i] = doubleValue; + + record.putValue(INT_COLUMN, _intValues[i]); + record.putValue(LONG_COLUMN, _longValues[i]); + record.putValue(FLOAT_COLUMN, _floatValues[i]); + record.putValue(DOUBLE_COLUMN, _doubleValues[i]); + record.putValue(GROUP_BY_COLUMN, Math.floor(i / (NUM_RECORDS / NUM_GROUPS))); + records.add(record); + } + + SegmentGeneratorConfig segmentGeneratorConfig = new SegmentGeneratorConfig(TABLE_CONFIG, SCHEMA); + segmentGeneratorConfig.setTableName(RAW_TABLE_NAME); + segmentGeneratorConfig.setSegmentName(SEGMENT_NAME); + segmentGeneratorConfig.setOutDir(INDEX_DIR.getPath()); + + SegmentIndexCreationDriverImpl driver = new SegmentIndexCreationDriverImpl(); + driver.init(segmentGeneratorConfig, new GenericRowRecordReader(records)); + driver.build(); + + ImmutableSegment immutableSegment = ImmutableSegmentLoader.load(new File(INDEX_DIR, SEGMENT_NAME), ReadMode.mmap); + _indexSegment = immutableSegment; + _indexSegments = Arrays.asList(immutableSegment, immutableSegment); + } + + @Test + public void testVarianceAggregationOnly() { + // Compute the expected values + Variance[] expectedVariances = new Variance[8]; + for (int i = 0; i < 8; i++) { + if (i < 4) { + expectedVariances[i] = new Variance(false); + } else { + expectedVariances[i] = new Variance(true); + } + } + for (int i = 0; i < NUM_RECORDS; i++) { + expectedVariances[0].increment(_intValues[i]); + expectedVariances[1].increment(_longValues[i]); + expectedVariances[2].increment(_floatValues[i]); + expectedVariances[3].increment(_doubleValues[i]); + expectedVariances[4].increment(_intValues[i]); + expectedVariances[5].increment(_longValues[i]); + expectedVariances[6].increment(_floatValues[i]); + expectedVariances[7].increment(_doubleValues[i]); + } + double expectedIntSum = Arrays.stream(_intValues).asDoubleStream().sum(); + double expectedLongSum = Arrays.stream(_longValues).asDoubleStream().sum(); + double expectedFloatSum = 0.0; + for (int i = 0; i < _floatValues.length; i++) { + expectedFloatSum += _floatValues[i]; + } + double expectedDoubleSum = Arrays.stream(_doubleValues).sum(); + + // Compute the query + String query = "SELECT VAR_POP(intColumn), VAR_POP(longColumn), VAR_POP(floatColumn), VAR_POP(doubleColumn)," + + "VAR_SAMP(intColumn), VAR_SAMP(longColumn), VAR_SAMP(floatColumn), VAR_SAMP(doubleColumn) FROM testTable"; + AggregationOperator aggregationOperator = getOperator(query); + AggregationResultsBlock resultsBlock = aggregationOperator.nextBlock(); + QueriesTestUtils.testInnerSegmentExecutionStatistics(aggregationOperator.getExecutionStatistics(), NUM_RECORDS, 0, + NUM_RECORDS * 4, NUM_RECORDS); + List<Object> aggregationResult = resultsBlock.getResults(); + + // Validate the aggregation results + checkWithPrecisionForVariance((VarianceTuple) aggregationResult.get(0), NUM_RECORDS, expectedIntSum, + expectedVariances[0].getResult(), false); + checkWithPrecisionForVariance((VarianceTuple) aggregationResult.get(1), NUM_RECORDS, expectedLongSum, + expectedVariances[1].getResult(), false); + checkWithPrecisionForVariance((VarianceTuple) aggregationResult.get(2), NUM_RECORDS, expectedFloatSum, + expectedVariances[2].getResult(), false); + checkWithPrecisionForVariance((VarianceTuple) aggregationResult.get(3), NUM_RECORDS, expectedDoubleSum, + expectedVariances[3].getResult(), false); + checkWithPrecisionForVariance((VarianceTuple) aggregationResult.get(4), NUM_RECORDS, expectedIntSum, + expectedVariances[4].getResult(), true); + checkWithPrecisionForVariance((VarianceTuple) aggregationResult.get(5), NUM_RECORDS, expectedLongSum, + expectedVariances[5].getResult(), true); + checkWithPrecisionForVariance((VarianceTuple) aggregationResult.get(6), NUM_RECORDS, expectedFloatSum, + expectedVariances[6].getResult(), true); + checkWithPrecisionForVariance((VarianceTuple) aggregationResult.get(7), NUM_RECORDS, expectedDoubleSum, + expectedVariances[7].getResult(), true); + + // Update the expected result by 3 more times (broker query will compute 4 identical segments) + for (int i = 0; i < NUM_RECORDS * 3; i++) { + int pos = i % NUM_RECORDS; + expectedVariances[0].increment(_intValues[pos]); + expectedVariances[1].increment(_longValues[pos]); + expectedVariances[2].increment(_floatValues[pos]); + expectedVariances[3].increment(_doubleValues[pos]); + expectedVariances[4].increment(_intValues[pos]); + expectedVariances[5].increment(_longValues[pos]); + expectedVariances[6].increment(_floatValues[pos]); + expectedVariances[7].increment(_doubleValues[pos]); + } + + // Validate the response + BrokerResponseNative brokerResponse = getBrokerResponse(query); + brokerResponse.getResultTable(); + Object[] results = brokerResponse.getResultTable().getRows().get(0); + assertTrue( + Precision.equalsWithRelativeTolerance((double) results[0], expectedVariances[0].getResult(), RELATIVE_EPSILON)); + assertTrue( + Precision.equalsWithRelativeTolerance((double) results[1], expectedVariances[1].getResult(), RELATIVE_EPSILON)); + assertTrue( + Precision.equalsWithRelativeTolerance((double) results[2], expectedVariances[2].getResult(), RELATIVE_EPSILON)); + assertTrue( + Precision.equalsWithRelativeTolerance((double) results[3], expectedVariances[3].getResult(), RELATIVE_EPSILON)); + assertTrue( + Precision.equalsWithRelativeTolerance((double) results[4], expectedVariances[4].getResult(), RELATIVE_EPSILON)); + assertTrue( + Precision.equalsWithRelativeTolerance((double) results[5], expectedVariances[5].getResult(), RELATIVE_EPSILON)); + assertTrue( + Precision.equalsWithRelativeTolerance((double) results[6], expectedVariances[6].getResult(), RELATIVE_EPSILON)); + assertTrue( + Precision.equalsWithRelativeTolerance((double) results[7], expectedVariances[7].getResult(), RELATIVE_EPSILON)); + + // Validate the response for a query with a filter + query = "SELECT VAR_POP(intColumn) from testTable" + getFilter(); + brokerResponse = getBrokerResponse(query); + brokerResponse.getResultTable(); + results = brokerResponse.getResultTable().getRows().get(0); + Variance filterExpectedVariance = new Variance(false); + for (int i = 0; i < NUM_RECORDS / 2; i++) { + filterExpectedVariance.increment(_intValues[i]); + } + assertTrue(Precision.equalsWithRelativeTolerance((double) results[0], filterExpectedVariance.getResult(), + RELATIVE_EPSILON)); + } + + @Test + public void testVarianceAggregationGroupBy() { + // Compute expected group results + Variance[] expectedGroupByResult = new Variance[NUM_GROUPS]; + double[] expectedSum = new double[NUM_GROUPS]; + + for (int i = 0; i < NUM_GROUPS; i++) { + expectedGroupByResult[i] = new Variance(false); + } + for (int j = 0; j < NUM_RECORDS; j++) { + int pos = j / (NUM_RECORDS / NUM_GROUPS); + expectedGroupByResult[pos].increment(_intValues[j]); + expectedSum[pos] += _intValues[j]; + } + + String query = "SELECT VAR_POP(intColumn) FROM testTable GROUP BY groupByColumn ORDER BY groupByColumn"; + GroupByOperator groupByOperator = getOperator(query); + GroupByResultsBlock resultsBlock = groupByOperator.nextBlock(); + QueriesTestUtils.testInnerSegmentExecutionStatistics(groupByOperator.getExecutionStatistics(), NUM_RECORDS, 0, + NUM_RECORDS * 2, NUM_RECORDS); + AggregationGroupByResult aggregationGroupByResult = resultsBlock.getAggregationGroupByResult(); + assertNotNull(aggregationGroupByResult); + for (int i = 0; i < NUM_GROUPS; i++) { + + VarianceTuple actualVarianceTuple = (VarianceTuple) aggregationGroupByResult.getResultForGroupId(0, i); + checkWithPrecisionForVariance(actualVarianceTuple, NUM_RECORDS / NUM_GROUPS, expectedSum[i], + expectedGroupByResult[i].getResult(), false); + } + } + + @Test + public void testStandardDeviationAggregationOnly() { + // Compute the expected values + StandardDeviation[] expectedStdDevs = new StandardDeviation[8]; + for (int i = 0; i < 8; i++) { + if (i < 4) { + expectedStdDevs[i] = new StandardDeviation(false); + } else { + expectedStdDevs[i] = new StandardDeviation(true); + } + } + for (int i = 0; i < NUM_RECORDS; i++) { + expectedStdDevs[0].increment(_intValues[i]); + expectedStdDevs[1].increment(_longValues[i]); + expectedStdDevs[2].increment(_floatValues[i]); + expectedStdDevs[3].increment(_doubleValues[i]); + expectedStdDevs[4].increment(_intValues[i]); + expectedStdDevs[5].increment(_longValues[i]); + expectedStdDevs[6].increment(_floatValues[i]); + expectedStdDevs[7].increment(_doubleValues[i]); + } + + double expectedIntSum = Arrays.stream(_intValues).asDoubleStream().sum(); + double expectedLongSum = Arrays.stream(_longValues).asDoubleStream().sum(); + double expectedFloatSum = 0.0; + for (int i = 0; i < _floatValues.length; i++) { + expectedFloatSum += _floatValues[i]; + } + double expectedDoubleSum = Arrays.stream(_doubleValues).sum(); + + // Compute the query + String query = + "SELECT STDDEV_POP(intColumn), STDDEV_POP(longColumn), STDDEV_POP(floatColumn), STDDEV_POP(doubleColumn)," + + "STDDEV_SAMP(intColumn), STDDEV_SAMP(longColumn), STDDEV_SAMP(floatColumn), STDDEV_SAMP(doubleColumn) " + + "FROM testTable"; + AggregationOperator aggregationOperator = getOperator(query); + AggregationResultsBlock resultsBlock = aggregationOperator.nextBlock(); + QueriesTestUtils.testInnerSegmentExecutionStatistics(aggregationOperator.getExecutionStatistics(), NUM_RECORDS, 0, + NUM_RECORDS * 4, NUM_RECORDS); + List<Object> aggregationResult = resultsBlock.getResults(); + + // Validate the aggregation results + checkWithPrecisionForStandardDeviation((VarianceTuple) aggregationResult.get(0), NUM_RECORDS, expectedIntSum, + expectedStdDevs[0].getResult(), false); + checkWithPrecisionForStandardDeviation((VarianceTuple) aggregationResult.get(1), NUM_RECORDS, expectedLongSum, + expectedStdDevs[1].getResult(), false); + checkWithPrecisionForStandardDeviation((VarianceTuple) aggregationResult.get(2), NUM_RECORDS, expectedFloatSum, + expectedStdDevs[2].getResult(), false); + checkWithPrecisionForStandardDeviation((VarianceTuple) aggregationResult.get(3), NUM_RECORDS, expectedDoubleSum, + expectedStdDevs[3].getResult(), false); + checkWithPrecisionForStandardDeviation((VarianceTuple) aggregationResult.get(4), NUM_RECORDS, expectedIntSum, + expectedStdDevs[4].getResult(), true); + checkWithPrecisionForStandardDeviation((VarianceTuple) aggregationResult.get(5), NUM_RECORDS, expectedLongSum, + expectedStdDevs[5].getResult(), true); + checkWithPrecisionForStandardDeviation((VarianceTuple) aggregationResult.get(6), NUM_RECORDS, expectedFloatSum, + expectedStdDevs[6].getResult(), true); + checkWithPrecisionForStandardDeviation((VarianceTuple) aggregationResult.get(7), NUM_RECORDS, expectedDoubleSum, + expectedStdDevs[7].getResult(), true); + + // Update the expected result by 3 more times (broker query will compute 4 identical segments) Review Comment: @jasperjiaguo Can you elaborate on your suggestion? I referred covariance test and it also uses `getBrokerResponse()` to get the result. According to the documentation, `getBrokerResponse()` seems to compute the result from 4 identical segments. FYI,`getBrokerResponse()` internally calls `getDistinctInstances()`. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
