Java Code Examples for org.apache.flink.api.java.utils.DataSetUtils#summarize()
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org.apache.flink.api.java.utils.DataSetUtils#summarize() .
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Example 1
| Source File: DataSetUtilsITCase.java From Flink-CEPplus with Apache License 2.0 | 4 votes |
|
@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 |
|
@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 |
|
@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);
}
