Java Code Examples for org.apache.flink.api.java.utils.DataSetUtils#summarize()

The following examples show how to use org.apache.flink.api.java.utils.DataSetUtils#summarize() . 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
Source File: DataSetUtilsITCase.java    From Flink-CEPplus with 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 2
Source File: DataSetUtilsITCase.java    From flink with 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 3
Source File: DataSetUtilsITCase.java    From flink with 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);
}