Java Code Examples for org.apache.flink.api.java.summarize.BooleanColumnSummary

The following examples show how to use org.apache.flink.api.java.summarize.BooleanColumnSummary. These examples are extracted from open source projects. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may check out the related API usage on the sidebar.
Example 1
/**
 * Helper method for summarizing a list of values.
 *
 * <p>This method breaks the rule of "testing only one thing" by aggregating and combining
 * a bunch of different ways.
 */
protected BooleanColumnSummary summarize(Boolean... values) {

	BooleanValue[] booleanValues = new BooleanValue[values.length];
	for (int i = 0; i < values.length; i++) {
		if (values[i] != null) {
			booleanValues[i] = new BooleanValue(values[i]);
		}
	}

	return new AggregateCombineHarness<BooleanValue, BooleanColumnSummary, ValueSummaryAggregator.BooleanValueSummaryAggregator>() {
		@Override
		protected void compareResults(BooleanColumnSummary result1, BooleanColumnSummary result2) {
			Assert.assertEquals(result1.getNullCount(), result2.getNullCount());
			Assert.assertEquals(result1.getNonNullCount(), result2.getNonNullCount());
			Assert.assertEquals(result1.getTrueCount(), result2.getTrueCount());
			Assert.assertEquals(result1.getFalseCount(), result2.getFalseCount());
		}
	}.summarize(booleanValues);
}
 
Example 2
Source Project: flink   Source File: BooleanValueSummaryAggregatorTest.java    License: Apache License 2.0 6 votes vote down vote up
/**
 * Helper method for summarizing a list of values.
 *
 * <p>This method breaks the rule of "testing only one thing" by aggregating and combining
 * a bunch of different ways.
 */
protected BooleanColumnSummary summarize(Boolean... values) {

	BooleanValue[] booleanValues = new BooleanValue[values.length];
	for (int i = 0; i < values.length; i++) {
		if (values[i] != null) {
			booleanValues[i] = new BooleanValue(values[i]);
		}
	}

	return new AggregateCombineHarness<BooleanValue, BooleanColumnSummary, ValueSummaryAggregator.BooleanValueSummaryAggregator>() {
		@Override
		protected void compareResults(BooleanColumnSummary result1, BooleanColumnSummary result2) {
			Assert.assertEquals(result1.getNullCount(), result2.getNullCount());
			Assert.assertEquals(result1.getNonNullCount(), result2.getNonNullCount());
			Assert.assertEquals(result1.getTrueCount(), result2.getTrueCount());
			Assert.assertEquals(result1.getFalseCount(), result2.getFalseCount());
		}
	}.summarize(booleanValues);
}
 
Example 3
Source Project: flink   Source File: BooleanValueSummaryAggregatorTest.java    License: Apache License 2.0 6 votes vote down vote up
/**
 * Helper method for summarizing a list of values.
 *
 * <p>This method breaks the rule of "testing only one thing" by aggregating and combining
 * a bunch of different ways.
 */
protected BooleanColumnSummary summarize(Boolean... values) {

	BooleanValue[] booleanValues = new BooleanValue[values.length];
	for (int i = 0; i < values.length; i++) {
		if (values[i] != null) {
			booleanValues[i] = new BooleanValue(values[i]);
		}
	}

	return new AggregateCombineHarness<BooleanValue, BooleanColumnSummary, ValueSummaryAggregator.BooleanValueSummaryAggregator>() {
		@Override
		protected void compareResults(BooleanColumnSummary result1, BooleanColumnSummary result2) {
			Assert.assertEquals(result1.getNullCount(), result2.getNullCount());
			Assert.assertEquals(result1.getNonNullCount(), result2.getNonNullCount());
			Assert.assertEquals(result1.getTrueCount(), result2.getTrueCount());
			Assert.assertEquals(result1.getFalseCount(), result2.getFalseCount());
		}
	}.summarize(booleanValues);
}
 
Example 4
Source Project: Flink-CEPplus   Source File: BooleanSummaryAggregator.java    License: Apache License 2.0 5 votes vote down vote up
@Override
public void combine(Aggregator<Boolean, BooleanColumnSummary> otherSameType) {
	BooleanSummaryAggregator other = (BooleanSummaryAggregator) otherSameType;
	trueCount += other.trueCount;
	falseCount += other.falseCount;
	nullCount += other.nullCount;
}
 
Example 5
@Test
public void testMixedGroup() {
	BooleanColumnSummary summary = summarize(true, false, null, true, true, true, false, null, true, false, true);
	Assert.assertEquals(11, summary.getTotalCount());
	Assert.assertEquals(2, summary.getNullCount());
	Assert.assertEquals(9, summary.getNonNullCount());
	Assert.assertEquals(6, summary.getTrueCount());
	Assert.assertEquals(3, summary.getFalseCount());
}
 
Example 6
@Test
public void testAllNullBooleans() {
	BooleanColumnSummary summary = summarize(null, null, null, null);
	Assert.assertEquals(4, summary.getTotalCount());
	Assert.assertEquals(4, summary.getNullCount());
	Assert.assertEquals(0, summary.getNonNullCount());
	Assert.assertEquals(0, summary.getTrueCount());
	Assert.assertEquals(0, summary.getFalseCount());
}
 
Example 7
@Test
public void testAllTrue() {
	BooleanColumnSummary summary = summarize(true, true, true, true, true, true);
	Assert.assertEquals(6, summary.getTotalCount());
	Assert.assertEquals(0, summary.getNullCount());
	Assert.assertEquals(6, summary.getNonNullCount());
	Assert.assertEquals(6, summary.getTrueCount());
	Assert.assertEquals(0, summary.getFalseCount());
}
 
Example 8
@Test
public void testAllFalse() {
	BooleanColumnSummary summary = summarize(false, false, false);
	Assert.assertEquals(3, summary.getTotalCount());
	Assert.assertEquals(0, summary.getNullCount());
	Assert.assertEquals(3, summary.getNonNullCount());
	Assert.assertEquals(0, summary.getTrueCount());
	Assert.assertEquals(3, summary.getFalseCount());
}
 
Example 9
/**
 * Helper method for summarizing a list of values.
 *
 * <p>This method breaks the rule of "testing only one thing" by aggregating and combining
 * a bunch of different ways.
 */
protected BooleanColumnSummary summarize(Boolean... values) {
	return new AggregateCombineHarness<Boolean, BooleanColumnSummary, BooleanSummaryAggregator>() {
		@Override
		protected void compareResults(BooleanColumnSummary result1, BooleanColumnSummary result2) {
			Assert.assertEquals(result1.getNullCount(), result2.getNullCount());
			Assert.assertEquals(result1.getNonNullCount(), result2.getNonNullCount());
			Assert.assertEquals(result1.getTrueCount(), result2.getTrueCount());
			Assert.assertEquals(result1.getFalseCount(), result2.getFalseCount());
		}
	}.summarize(values);
}
 
Example 10
Source Project: flink   Source File: BooleanSummaryAggregator.java    License: Apache License 2.0 5 votes vote down vote up
@Override
public void combine(Aggregator<Boolean, BooleanColumnSummary> otherSameType) {
	BooleanSummaryAggregator other = (BooleanSummaryAggregator) otherSameType;
	trueCount += other.trueCount;
	falseCount += other.falseCount;
	nullCount += other.nullCount;
}
 
Example 11
Source Project: flink   Source File: BooleanSummaryAggregatorTest.java    License: Apache License 2.0 5 votes vote down vote up
@Test
public void testMixedGroup() {
	BooleanColumnSummary summary = summarize(true, false, null, true, true, true, false, null, true, false, true);
	Assert.assertEquals(11, summary.getTotalCount());
	Assert.assertEquals(2, summary.getNullCount());
	Assert.assertEquals(9, summary.getNonNullCount());
	Assert.assertEquals(6, summary.getTrueCount());
	Assert.assertEquals(3, summary.getFalseCount());
}
 
Example 12
Source Project: flink   Source File: BooleanSummaryAggregatorTest.java    License: Apache License 2.0 5 votes vote down vote up
@Test
public void testAllNullBooleans() {
	BooleanColumnSummary summary = summarize(null, null, null, null);
	Assert.assertEquals(4, summary.getTotalCount());
	Assert.assertEquals(4, summary.getNullCount());
	Assert.assertEquals(0, summary.getNonNullCount());
	Assert.assertEquals(0, summary.getTrueCount());
	Assert.assertEquals(0, summary.getFalseCount());
}
 
Example 13
Source Project: flink   Source File: BooleanSummaryAggregatorTest.java    License: Apache License 2.0 5 votes vote down vote up
@Test
public void testAllTrue() {
	BooleanColumnSummary summary = summarize(true, true, true, true, true, true);
	Assert.assertEquals(6, summary.getTotalCount());
	Assert.assertEquals(0, summary.getNullCount());
	Assert.assertEquals(6, summary.getNonNullCount());
	Assert.assertEquals(6, summary.getTrueCount());
	Assert.assertEquals(0, summary.getFalseCount());
}
 
Example 14
Source Project: flink   Source File: BooleanSummaryAggregatorTest.java    License: Apache License 2.0 5 votes vote down vote up
@Test
public void testAllFalse() {
	BooleanColumnSummary summary = summarize(false, false, false);
	Assert.assertEquals(3, summary.getTotalCount());
	Assert.assertEquals(0, summary.getNullCount());
	Assert.assertEquals(3, summary.getNonNullCount());
	Assert.assertEquals(0, summary.getTrueCount());
	Assert.assertEquals(3, summary.getFalseCount());
}
 
Example 15
Source Project: flink   Source File: BooleanSummaryAggregatorTest.java    License: Apache License 2.0 5 votes vote down vote up
/**
 * Helper method for summarizing a list of values.
 *
 * <p>This method breaks the rule of "testing only one thing" by aggregating and combining
 * a bunch of different ways.
 */
protected BooleanColumnSummary summarize(Boolean... values) {
	return new AggregateCombineHarness<Boolean, BooleanColumnSummary, BooleanSummaryAggregator>() {
		@Override
		protected void compareResults(BooleanColumnSummary result1, BooleanColumnSummary result2) {
			Assert.assertEquals(result1.getNullCount(), result2.getNullCount());
			Assert.assertEquals(result1.getNonNullCount(), result2.getNonNullCount());
			Assert.assertEquals(result1.getTrueCount(), result2.getTrueCount());
			Assert.assertEquals(result1.getFalseCount(), result2.getFalseCount());
		}
	}.summarize(values);
}
 
Example 16
Source Project: flink   Source File: BooleanSummaryAggregator.java    License: Apache License 2.0 5 votes vote down vote up
@Override
public void combine(Aggregator<Boolean, BooleanColumnSummary> otherSameType) {
	BooleanSummaryAggregator other = (BooleanSummaryAggregator) otherSameType;
	trueCount += other.trueCount;
	falseCount += other.falseCount;
	nullCount += other.nullCount;
}
 
Example 17
Source Project: flink   Source File: BooleanSummaryAggregatorTest.java    License: Apache License 2.0 5 votes vote down vote up
@Test
public void testMixedGroup() {
	BooleanColumnSummary summary = summarize(true, false, null, true, true, true, false, null, true, false, true);
	Assert.assertEquals(11, summary.getTotalCount());
	Assert.assertEquals(2, summary.getNullCount());
	Assert.assertEquals(9, summary.getNonNullCount());
	Assert.assertEquals(6, summary.getTrueCount());
	Assert.assertEquals(3, summary.getFalseCount());
}
 
Example 18
Source Project: flink   Source File: BooleanSummaryAggregatorTest.java    License: Apache License 2.0 5 votes vote down vote up
@Test
public void testAllNullBooleans() {
	BooleanColumnSummary summary = summarize(null, null, null, null);
	Assert.assertEquals(4, summary.getTotalCount());
	Assert.assertEquals(4, summary.getNullCount());
	Assert.assertEquals(0, summary.getNonNullCount());
	Assert.assertEquals(0, summary.getTrueCount());
	Assert.assertEquals(0, summary.getFalseCount());
}
 
Example 19
Source Project: flink   Source File: BooleanSummaryAggregatorTest.java    License: Apache License 2.0 5 votes vote down vote up
@Test
public void testAllTrue() {
	BooleanColumnSummary summary = summarize(true, true, true, true, true, true);
	Assert.assertEquals(6, summary.getTotalCount());
	Assert.assertEquals(0, summary.getNullCount());
	Assert.assertEquals(6, summary.getNonNullCount());
	Assert.assertEquals(6, summary.getTrueCount());
	Assert.assertEquals(0, summary.getFalseCount());
}
 
Example 20
Source Project: flink   Source File: BooleanSummaryAggregatorTest.java    License: Apache License 2.0 5 votes vote down vote up
@Test
public void testAllFalse() {
	BooleanColumnSummary summary = summarize(false, false, false);
	Assert.assertEquals(3, summary.getTotalCount());
	Assert.assertEquals(0, summary.getNullCount());
	Assert.assertEquals(3, summary.getNonNullCount());
	Assert.assertEquals(0, summary.getTrueCount());
	Assert.assertEquals(3, summary.getFalseCount());
}
 
Example 21
Source Project: flink   Source File: BooleanSummaryAggregatorTest.java    License: Apache License 2.0 5 votes vote down vote up
/**
 * Helper method for summarizing a list of values.
 *
 * <p>This method breaks the rule of "testing only one thing" by aggregating and combining
 * a bunch of different ways.
 */
protected BooleanColumnSummary summarize(Boolean... values) {
	return new AggregateCombineHarness<Boolean, BooleanColumnSummary, BooleanSummaryAggregator>() {
		@Override
		protected void compareResults(BooleanColumnSummary result1, BooleanColumnSummary result2) {
			Assert.assertEquals(result1.getNullCount(), result2.getNullCount());
			Assert.assertEquals(result1.getNonNullCount(), result2.getNonNullCount());
			Assert.assertEquals(result1.getTrueCount(), result2.getTrueCount());
			Assert.assertEquals(result1.getFalseCount(), result2.getFalseCount());
		}
	}.summarize(values);
}
 
Example 22
Source Project: Flink-CEPplus   Source File: DataSetUtilsITCase.java    License: Apache License 2.0 4 votes vote down vote up
@Test
public void testSummarize() throws Exception {
	final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();

	List<Tuple8<Short, Integer, Long, Float, Double, String, Boolean, DoubleValue>> data = new ArrayList<>();
	data.add(new Tuple8<>((short) 1, 1, 100L, 0.1f, 1.012376, "hello", false, new DoubleValue(50.0)));
	data.add(new Tuple8<>((short) 2, 2, 1000L, 0.2f, 2.003453, "hello", true, new DoubleValue(50.0)));
	data.add(new Tuple8<>((short) 4, 10, 10000L, 0.2f, 75.00005, "null", true, new DoubleValue(50.0)));
	data.add(new Tuple8<>((short) 10, 4, 100L, 0.9f, 79.5, "", true, new DoubleValue(50.0)));
	data.add(new Tuple8<>((short) 5, 5, 1000L, 0.2f, 10.0000001, "a", false, new DoubleValue(50.0)));
	data.add(new Tuple8<>((short) 6, 6, 10L, 0.1f, 0.0000000000023, "", true, new DoubleValue(100.0)));
	data.add(new Tuple8<>((short) 7, 7, 1L, 0.2f, Double.POSITIVE_INFINITY, "abcdefghijklmnop", true, new DoubleValue(100.0)));
	data.add(new Tuple8<>((short) 8, 8, -100L, 0.001f, Double.NaN, "abcdefghi", true, new DoubleValue(100.0)));

	Collections.shuffle(data);

	DataSet<Tuple8<Short, Integer, Long, Float, Double, String, Boolean, DoubleValue>> ds = env.fromCollection(data);

	// call method under test
	Tuple results = DataSetUtils.summarize(ds);

	Assert.assertEquals(8, results.getArity());

	NumericColumnSummary<Short> col0Summary = results.getField(0);
	Assert.assertEquals(8, col0Summary.getNonMissingCount());
	Assert.assertEquals(1, col0Summary.getMin().shortValue());
	Assert.assertEquals(10, col0Summary.getMax().shortValue());
	Assert.assertEquals(5.375, col0Summary.getMean().doubleValue(), 0.0);

	NumericColumnSummary<Integer> col1Summary = results.getField(1);
	Assert.assertEquals(1, col1Summary.getMin().intValue());
	Assert.assertEquals(10, col1Summary.getMax().intValue());
	Assert.assertEquals(5.375, col1Summary.getMean().doubleValue(), 0.0);

	NumericColumnSummary<Long> col2Summary = results.getField(2);
	Assert.assertEquals(-100L, col2Summary.getMin().longValue());
	Assert.assertEquals(10000L, col2Summary.getMax().longValue());

	NumericColumnSummary<Float> col3Summary = results.getField(3);
	Assert.assertEquals(8, col3Summary.getTotalCount());
	Assert.assertEquals(0.001000, col3Summary.getMin().doubleValue(), 0.0000001);
	Assert.assertEquals(0.89999999, col3Summary.getMax().doubleValue(), 0.0000001);
	Assert.assertEquals(0.2376249988883501, col3Summary.getMean().doubleValue(), 0.000000000001);
	Assert.assertEquals(0.0768965488108089, col3Summary.getVariance().doubleValue(), 0.00000001);
	Assert.assertEquals(0.27730226975415995, col3Summary.getStandardDeviation().doubleValue(), 0.000000000001);

	NumericColumnSummary<Double> col4Summary = results.getField(4);
	Assert.assertEquals(6, col4Summary.getNonMissingCount());
	Assert.assertEquals(2, col4Summary.getMissingCount());
	Assert.assertEquals(0.0000000000023, col4Summary.getMin().doubleValue(), 0.0);
	Assert.assertEquals(79.5, col4Summary.getMax().doubleValue(), 0.000000000001);

	StringColumnSummary col5Summary = results.getField(5);
	Assert.assertEquals(8, col5Summary.getTotalCount());
	Assert.assertEquals(0, col5Summary.getNullCount());
	Assert.assertEquals(8, col5Summary.getNonNullCount());
	Assert.assertEquals(2, col5Summary.getEmptyCount());
	Assert.assertEquals(0, col5Summary.getMinLength().intValue());
	Assert.assertEquals(16, col5Summary.getMaxLength().intValue());
	Assert.assertEquals(5.0, col5Summary.getMeanLength().doubleValue(), 0.0001);

	BooleanColumnSummary col6Summary = results.getField(6);
	Assert.assertEquals(8, col6Summary.getTotalCount());
	Assert.assertEquals(2, col6Summary.getFalseCount());
	Assert.assertEquals(6, col6Summary.getTrueCount());
	Assert.assertEquals(0, col6Summary.getNullCount());

	NumericColumnSummary<Double> col7Summary = results.getField(7);
	Assert.assertEquals(100.0, col7Summary.getMax().doubleValue(), 0.00001);
	Assert.assertEquals(50.0, col7Summary.getMin().doubleValue(), 0.00001);
}
 
Example 23
Source Project: Flink-CEPplus   Source File: BooleanSummaryAggregator.java    License: Apache License 2.0 4 votes vote down vote up
@Override
public BooleanColumnSummary result() {
	return new BooleanColumnSummary(trueCount, falseCount, nullCount);
}
 
Example 24
Source Project: flink   Source File: DataSetUtilsITCase.java    License: Apache License 2.0 4 votes vote down vote up
@Test
public void testSummarize() throws Exception {
	final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();

	List<Tuple8<Short, Integer, Long, Float, Double, String, Boolean, DoubleValue>> data = new ArrayList<>();
	data.add(new Tuple8<>((short) 1, 1, 100L, 0.1f, 1.012376, "hello", false, new DoubleValue(50.0)));
	data.add(new Tuple8<>((short) 2, 2, 1000L, 0.2f, 2.003453, "hello", true, new DoubleValue(50.0)));
	data.add(new Tuple8<>((short) 4, 10, 10000L, 0.2f, 75.00005, "null", true, new DoubleValue(50.0)));
	data.add(new Tuple8<>((short) 10, 4, 100L, 0.9f, 79.5, "", true, new DoubleValue(50.0)));
	data.add(new Tuple8<>((short) 5, 5, 1000L, 0.2f, 10.0000001, "a", false, new DoubleValue(50.0)));
	data.add(new Tuple8<>((short) 6, 6, 10L, 0.1f, 0.0000000000023, "", true, new DoubleValue(100.0)));
	data.add(new Tuple8<>((short) 7, 7, 1L, 0.2f, Double.POSITIVE_INFINITY, "abcdefghijklmnop", true, new DoubleValue(100.0)));
	data.add(new Tuple8<>((short) 8, 8, -100L, 0.001f, Double.NaN, "abcdefghi", true, new DoubleValue(100.0)));

	Collections.shuffle(data);

	DataSet<Tuple8<Short, Integer, Long, Float, Double, String, Boolean, DoubleValue>> ds = env.fromCollection(data);

	// call method under test
	Tuple results = DataSetUtils.summarize(ds);

	Assert.assertEquals(8, results.getArity());

	NumericColumnSummary<Short> col0Summary = results.getField(0);
	Assert.assertEquals(8, col0Summary.getNonMissingCount());
	Assert.assertEquals(1, col0Summary.getMin().shortValue());
	Assert.assertEquals(10, col0Summary.getMax().shortValue());
	Assert.assertEquals(5.375, col0Summary.getMean().doubleValue(), 0.0);

	NumericColumnSummary<Integer> col1Summary = results.getField(1);
	Assert.assertEquals(1, col1Summary.getMin().intValue());
	Assert.assertEquals(10, col1Summary.getMax().intValue());
	Assert.assertEquals(5.375, col1Summary.getMean().doubleValue(), 0.0);

	NumericColumnSummary<Long> col2Summary = results.getField(2);
	Assert.assertEquals(-100L, col2Summary.getMin().longValue());
	Assert.assertEquals(10000L, col2Summary.getMax().longValue());

	NumericColumnSummary<Float> col3Summary = results.getField(3);
	Assert.assertEquals(8, col3Summary.getTotalCount());
	Assert.assertEquals(0.001000, col3Summary.getMin().doubleValue(), 0.0000001);
	Assert.assertEquals(0.89999999, col3Summary.getMax().doubleValue(), 0.0000001);
	Assert.assertEquals(0.2376249988883501, col3Summary.getMean().doubleValue(), 0.000000000001);
	Assert.assertEquals(0.0768965488108089, col3Summary.getVariance().doubleValue(), 0.00000001);
	Assert.assertEquals(0.27730226975415995, col3Summary.getStandardDeviation().doubleValue(), 0.000000000001);

	NumericColumnSummary<Double> col4Summary = results.getField(4);
	Assert.assertEquals(6, col4Summary.getNonMissingCount());
	Assert.assertEquals(2, col4Summary.getMissingCount());
	Assert.assertEquals(0.0000000000023, col4Summary.getMin().doubleValue(), 0.0);
	Assert.assertEquals(79.5, col4Summary.getMax().doubleValue(), 0.000000000001);

	StringColumnSummary col5Summary = results.getField(5);
	Assert.assertEquals(8, col5Summary.getTotalCount());
	Assert.assertEquals(0, col5Summary.getNullCount());
	Assert.assertEquals(8, col5Summary.getNonNullCount());
	Assert.assertEquals(2, col5Summary.getEmptyCount());
	Assert.assertEquals(0, col5Summary.getMinLength().intValue());
	Assert.assertEquals(16, col5Summary.getMaxLength().intValue());
	Assert.assertEquals(5.0, col5Summary.getMeanLength().doubleValue(), 0.0001);

	BooleanColumnSummary col6Summary = results.getField(6);
	Assert.assertEquals(8, col6Summary.getTotalCount());
	Assert.assertEquals(2, col6Summary.getFalseCount());
	Assert.assertEquals(6, col6Summary.getTrueCount());
	Assert.assertEquals(0, col6Summary.getNullCount());

	NumericColumnSummary<Double> col7Summary = results.getField(7);
	Assert.assertEquals(100.0, col7Summary.getMax().doubleValue(), 0.00001);
	Assert.assertEquals(50.0, col7Summary.getMin().doubleValue(), 0.00001);
}
 
Example 25
Source Project: flink   Source File: BooleanSummaryAggregator.java    License: Apache License 2.0 4 votes vote down vote up
@Override
public BooleanColumnSummary result() {
	return new BooleanColumnSummary(trueCount, falseCount, nullCount);
}
 
Example 26
Source Project: flink   Source File: DataSetUtilsITCase.java    License: Apache License 2.0 4 votes vote down vote up
@Test
public void testSummarize() throws Exception {
	final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();

	List<Tuple8<Short, Integer, Long, Float, Double, String, Boolean, DoubleValue>> data = new ArrayList<>();
	data.add(new Tuple8<>((short) 1, 1, 100L, 0.1f, 1.012376, "hello", false, new DoubleValue(50.0)));
	data.add(new Tuple8<>((short) 2, 2, 1000L, 0.2f, 2.003453, "hello", true, new DoubleValue(50.0)));
	data.add(new Tuple8<>((short) 4, 10, 10000L, 0.2f, 75.00005, "null", true, new DoubleValue(50.0)));
	data.add(new Tuple8<>((short) 10, 4, 100L, 0.9f, 79.5, "", true, new DoubleValue(50.0)));
	data.add(new Tuple8<>((short) 5, 5, 1000L, 0.2f, 10.0000001, "a", false, new DoubleValue(50.0)));
	data.add(new Tuple8<>((short) 6, 6, 10L, 0.1f, 0.0000000000023, "", true, new DoubleValue(100.0)));
	data.add(new Tuple8<>((short) 7, 7, 1L, 0.2f, Double.POSITIVE_INFINITY, "abcdefghijklmnop", true, new DoubleValue(100.0)));
	data.add(new Tuple8<>((short) 8, 8, -100L, 0.001f, Double.NaN, "abcdefghi", true, new DoubleValue(100.0)));

	Collections.shuffle(data);

	DataSet<Tuple8<Short, Integer, Long, Float, Double, String, Boolean, DoubleValue>> ds = env.fromCollection(data);

	// call method under test
	Tuple results = DataSetUtils.summarize(ds);

	Assert.assertEquals(8, results.getArity());

	NumericColumnSummary<Short> col0Summary = results.getField(0);
	Assert.assertEquals(8, col0Summary.getNonMissingCount());
	Assert.assertEquals(1, col0Summary.getMin().shortValue());
	Assert.assertEquals(10, col0Summary.getMax().shortValue());
	Assert.assertEquals(5.375, col0Summary.getMean().doubleValue(), 0.0);

	NumericColumnSummary<Integer> col1Summary = results.getField(1);
	Assert.assertEquals(1, col1Summary.getMin().intValue());
	Assert.assertEquals(10, col1Summary.getMax().intValue());
	Assert.assertEquals(5.375, col1Summary.getMean().doubleValue(), 0.0);

	NumericColumnSummary<Long> col2Summary = results.getField(2);
	Assert.assertEquals(-100L, col2Summary.getMin().longValue());
	Assert.assertEquals(10000L, col2Summary.getMax().longValue());

	NumericColumnSummary<Float> col3Summary = results.getField(3);
	Assert.assertEquals(8, col3Summary.getTotalCount());
	Assert.assertEquals(0.001000, col3Summary.getMin().doubleValue(), 0.0000001);
	Assert.assertEquals(0.89999999, col3Summary.getMax().doubleValue(), 0.0000001);
	Assert.assertEquals(0.2376249988883501, col3Summary.getMean().doubleValue(), 0.000000000001);
	Assert.assertEquals(0.0768965488108089, col3Summary.getVariance().doubleValue(), 0.00000001);
	Assert.assertEquals(0.27730226975415995, col3Summary.getStandardDeviation().doubleValue(), 0.000000000001);

	NumericColumnSummary<Double> col4Summary = results.getField(4);
	Assert.assertEquals(6, col4Summary.getNonMissingCount());
	Assert.assertEquals(2, col4Summary.getMissingCount());
	Assert.assertEquals(0.0000000000023, col4Summary.getMin().doubleValue(), 0.0);
	Assert.assertEquals(79.5, col4Summary.getMax().doubleValue(), 0.000000000001);

	StringColumnSummary col5Summary = results.getField(5);
	Assert.assertEquals(8, col5Summary.getTotalCount());
	Assert.assertEquals(0, col5Summary.getNullCount());
	Assert.assertEquals(8, col5Summary.getNonNullCount());
	Assert.assertEquals(2, col5Summary.getEmptyCount());
	Assert.assertEquals(0, col5Summary.getMinLength().intValue());
	Assert.assertEquals(16, col5Summary.getMaxLength().intValue());
	Assert.assertEquals(5.0, col5Summary.getMeanLength().doubleValue(), 0.0001);

	BooleanColumnSummary col6Summary = results.getField(6);
	Assert.assertEquals(8, col6Summary.getTotalCount());
	Assert.assertEquals(2, col6Summary.getFalseCount());
	Assert.assertEquals(6, col6Summary.getTrueCount());
	Assert.assertEquals(0, col6Summary.getNullCount());

	NumericColumnSummary<Double> col7Summary = results.getField(7);
	Assert.assertEquals(100.0, col7Summary.getMax().doubleValue(), 0.00001);
	Assert.assertEquals(50.0, col7Summary.getMin().doubleValue(), 0.00001);
}
 
Example 27
Source Project: flink   Source File: BooleanSummaryAggregator.java    License: Apache License 2.0 4 votes vote down vote up
@Override
public BooleanColumnSummary result() {
	return new BooleanColumnSummary(trueCount, falseCount, nullCount);
}