org.apache.flink.api.java.summarize.StringColumnSummary Java Examples
The following examples show how to use
org.apache.flink.api.java.summarize.StringColumnSummary.
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Example #1
| Source File: StringSummaryAggregator.java From Flink-CEPplus with Apache License 2.0 | 6 votes |
|
@Override
public void combine(Aggregator<String, StringColumnSummary> otherSameType) {
StringSummaryAggregator other = (StringSummaryAggregator) otherSameType;
nullCount += other.nullCount;
minStringLength = Math.min(minStringLength, other.minStringLength);
maxStringLength = Math.max(maxStringLength, other.maxStringLength);
if (nonNullCount == 0) {
nonNullCount = other.nonNullCount;
emptyCount = other.emptyCount;
meanLength = other.meanLength;
}
else if (other.nonNullCount != 0) {
long combinedCount = nonNullCount + other.nonNullCount;
emptyCount += other.emptyCount;
double deltaMean = other.meanLength.value() - meanLength.value();
meanLength = meanLength.add(deltaMean * other.nonNullCount / combinedCount);
nonNullCount = combinedCount;
}
}
Example #2
| Source File: StringSummaryAggregatorTest.java From flink with Apache License 2.0 | 6 votes |
|
/**
* 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 StringColumnSummary summarize(String... values) {
return new AggregateCombineHarness<String, StringColumnSummary, StringSummaryAggregator>(){
@Override
protected void compareResults(StringColumnSummary result1, StringColumnSummary result2) {
Assert.assertEquals(result1.getEmptyCount(), result2.getEmptyCount());
Assert.assertEquals(result1.getMaxLength(), result2.getMaxLength());
Assert.assertEquals(result1.getMinLength(), result2.getMinLength());
if (result1.getMeanLength() == null) {
Assert.assertEquals(result1.getMeanLength(), result2.getMeanLength());
}
else {
Assert.assertEquals(result1.getMeanLength().doubleValue(), result2.getMeanLength().doubleValue(), 1e-5d);
}
Assert.assertEquals(result1.getNullCount(), result2.getNullCount());
Assert.assertEquals(result1.getNonNullCount(), result2.getNonNullCount());
}
}.summarize(values);
}
Example #3
| Source File: StringSummaryAggregatorTest.java From Flink-CEPplus with Apache License 2.0 | 6 votes |
|
/**
* 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 StringColumnSummary summarize(String... values) {
return new AggregateCombineHarness<String, StringColumnSummary, StringSummaryAggregator>(){
@Override
protected void compareResults(StringColumnSummary result1, StringColumnSummary result2) {
Assert.assertEquals(result1.getEmptyCount(), result2.getEmptyCount());
Assert.assertEquals(result1.getMaxLength(), result2.getMaxLength());
Assert.assertEquals(result1.getMinLength(), result2.getMinLength());
if (result1.getMeanLength() == null) {
Assert.assertEquals(result1.getMeanLength(), result2.getMeanLength());
}
else {
Assert.assertEquals(result1.getMeanLength().doubleValue(), result2.getMeanLength().doubleValue(), 1e-5d);
}
Assert.assertEquals(result1.getNullCount(), result2.getNullCount());
Assert.assertEquals(result1.getNonNullCount(), result2.getNonNullCount());
}
}.summarize(values);
}
Example #4
| Source File: StringSummaryAggregator.java From flink with Apache License 2.0 | 6 votes |
|
@Override
public void combine(Aggregator<String, StringColumnSummary> otherSameType) {
StringSummaryAggregator other = (StringSummaryAggregator) otherSameType;
nullCount += other.nullCount;
minStringLength = Math.min(minStringLength, other.minStringLength);
maxStringLength = Math.max(maxStringLength, other.maxStringLength);
if (nonNullCount == 0) {
nonNullCount = other.nonNullCount;
emptyCount = other.emptyCount;
meanLength = other.meanLength;
}
else if (other.nonNullCount != 0) {
long combinedCount = nonNullCount + other.nonNullCount;
emptyCount += other.emptyCount;
double deltaMean = other.meanLength.value() - meanLength.value();
meanLength = meanLength.add(deltaMean * other.nonNullCount / combinedCount);
nonNullCount = combinedCount;
}
}
Example #5
| Source File: StringSummaryAggregator.java From flink with Apache License 2.0 | 6 votes |
|
@Override
public void combine(Aggregator<String, StringColumnSummary> otherSameType) {
StringSummaryAggregator other = (StringSummaryAggregator) otherSameType;
nullCount += other.nullCount;
minStringLength = Math.min(minStringLength, other.minStringLength);
maxStringLength = Math.max(maxStringLength, other.maxStringLength);
if (nonNullCount == 0) {
nonNullCount = other.nonNullCount;
emptyCount = other.emptyCount;
meanLength = other.meanLength;
}
else if (other.nonNullCount != 0) {
long combinedCount = nonNullCount + other.nonNullCount;
emptyCount += other.emptyCount;
double deltaMean = other.meanLength.value() - meanLength.value();
meanLength = meanLength.add(deltaMean * other.nonNullCount / combinedCount);
nonNullCount = combinedCount;
}
}
Example #6
| Source File: StringSummaryAggregatorTest.java From flink with Apache License 2.0 | 6 votes |
|
/**
* 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 StringColumnSummary summarize(String... values) {
return new AggregateCombineHarness<String, StringColumnSummary, StringSummaryAggregator>(){
@Override
protected void compareResults(StringColumnSummary result1, StringColumnSummary result2) {
Assert.assertEquals(result1.getEmptyCount(), result2.getEmptyCount());
Assert.assertEquals(result1.getMaxLength(), result2.getMaxLength());
Assert.assertEquals(result1.getMinLength(), result2.getMinLength());
if (result1.getMeanLength() == null) {
Assert.assertEquals(result1.getMeanLength(), result2.getMeanLength());
}
else {
Assert.assertEquals(result1.getMeanLength().doubleValue(), result2.getMeanLength().doubleValue(), 1e-5d);
}
Assert.assertEquals(result1.getNullCount(), result2.getNullCount());
Assert.assertEquals(result1.getNonNullCount(), result2.getNonNullCount());
}
}.summarize(values);
}
Example #7
| Source File: StringValueSummaryAggregatorTest.java From flink with Apache License 2.0 | 5 votes |
|
/**
* 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.
*/
@Override
protected StringColumnSummary summarize(String... values) {
StringValue[] stringValues = new StringValue[values.length];
for (int i = 0; i < values.length; i++) {
if (values[i] != null) {
stringValues[i] = new StringValue(values[i]);
}
}
return new AggregateCombineHarness<StringValue, StringColumnSummary, ValueSummaryAggregator.StringValueSummaryAggregator>(){
@Override
protected void compareResults(StringColumnSummary result1, StringColumnSummary result2) {
Assert.assertEquals(result1.getEmptyCount(), result2.getEmptyCount());
Assert.assertEquals(result1.getMaxLength(), result2.getMaxLength());
Assert.assertEquals(result1.getMinLength(), result2.getMinLength());
if (result1.getMeanLength() == null) {
Assert.assertEquals(result1.getMeanLength(), result2.getMeanLength());
}
else {
Assert.assertEquals(result1.getMeanLength().doubleValue(), result2.getMeanLength().doubleValue(), 1e-5d);
}
Assert.assertEquals(result1.getNullCount(), result2.getNullCount());
Assert.assertEquals(result1.getNonNullCount(), result2.getNonNullCount());
}
}.summarize(stringValues);
}
Example #8
| Source File: StringSummaryAggregatorTest.java From flink with Apache License 2.0 | 5 votes |
|
@Test
public void testAllWithValues() {
StringColumnSummary summary = summarize("cat", "hat", "dog", "frog");
Assert.assertEquals(4, summary.getTotalCount());
Assert.assertEquals(0, summary.getNullCount());
Assert.assertEquals(4, summary.getNonNullCount());
Assert.assertEquals(0, summary.getEmptyCount());
Assert.assertEquals(3, summary.getMinLength().intValue());
Assert.assertEquals(4, summary.getMaxLength().intValue());
Assert.assertEquals(3.25, summary.getMeanLength().doubleValue(), 0.0);
}
Example #9
| Source File: StringSummaryAggregatorTest.java From flink with Apache License 2.0 | 5 votes |
|
@Test
public void testAllNullStrings() {
StringColumnSummary 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.getEmptyCount());
Assert.assertNull(summary.getMinLength());
Assert.assertNull(summary.getMaxLength());
Assert.assertNull(summary.getMeanLength());
}
Example #10
| Source File: StringSummaryAggregatorTest.java From flink with Apache License 2.0 | 5 votes |
|
@Test
public void testMixedGroup() {
StringColumnSummary summary = summarize("abc", "", null, " ", "defghi", "foo", null, null, "", " ");
Assert.assertEquals(10, summary.getTotalCount());
Assert.assertEquals(3, summary.getNullCount());
Assert.assertEquals(7, summary.getNonNullCount());
Assert.assertEquals(2, summary.getEmptyCount());
Assert.assertEquals(0, summary.getMinLength().intValue());
Assert.assertEquals(6, summary.getMaxLength().intValue());
Assert.assertEquals(2.142857, summary.getMeanLength().doubleValue(), 0.001);
}
Example #11
| Source File: StringSummaryAggregator.java From flink with Apache License 2.0 | 5 votes |
|
@Override
public StringColumnSummary result() {
return new StringColumnSummary(
nonNullCount,
nullCount,
emptyCount,
nonNullCount == 0L ? null : minStringLength,
nonNullCount == 0L ? null : maxStringLength,
nonNullCount == 0L ? null : meanLength.value()
);
}
Example #12
| Source File: StringValueSummaryAggregatorTest.java From flink with Apache License 2.0 | 5 votes |
|
/**
* 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.
*/
@Override
protected StringColumnSummary summarize(String... values) {
StringValue[] stringValues = new StringValue[values.length];
for (int i = 0; i < values.length; i++) {
if (values[i] != null) {
stringValues[i] = new StringValue(values[i]);
}
}
return new AggregateCombineHarness<StringValue, StringColumnSummary, ValueSummaryAggregator.StringValueSummaryAggregator>(){
@Override
protected void compareResults(StringColumnSummary result1, StringColumnSummary result2) {
Assert.assertEquals(result1.getEmptyCount(), result2.getEmptyCount());
Assert.assertEquals(result1.getMaxLength(), result2.getMaxLength());
Assert.assertEquals(result1.getMinLength(), result2.getMinLength());
if (result1.getMeanLength() == null) {
Assert.assertEquals(result1.getMeanLength(), result2.getMeanLength());
}
else {
Assert.assertEquals(result1.getMeanLength().doubleValue(), result2.getMeanLength().doubleValue(), 1e-5d);
}
Assert.assertEquals(result1.getNullCount(), result2.getNullCount());
Assert.assertEquals(result1.getNonNullCount(), result2.getNonNullCount());
}
}.summarize(stringValues);
}
Example #13
| Source File: StringSummaryAggregatorTest.java From flink with Apache License 2.0 | 5 votes |
|
@Test
public void testAllWithValues() {
StringColumnSummary summary = summarize("cat", "hat", "dog", "frog");
Assert.assertEquals(4, summary.getTotalCount());
Assert.assertEquals(0, summary.getNullCount());
Assert.assertEquals(4, summary.getNonNullCount());
Assert.assertEquals(0, summary.getEmptyCount());
Assert.assertEquals(3, summary.getMinLength().intValue());
Assert.assertEquals(4, summary.getMaxLength().intValue());
Assert.assertEquals(3.25, summary.getMeanLength().doubleValue(), 0.0);
}
Example #14
| Source File: StringSummaryAggregatorTest.java From flink with Apache License 2.0 | 5 votes |
|
@Test
public void testAllNullStrings() {
StringColumnSummary 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.getEmptyCount());
Assert.assertNull(summary.getMinLength());
Assert.assertNull(summary.getMaxLength());
Assert.assertNull(summary.getMeanLength());
}
Example #15
| Source File: StringSummaryAggregatorTest.java From flink with Apache License 2.0 | 5 votes |
|
@Test
public void testMixedGroup() {
StringColumnSummary summary = summarize("abc", "", null, " ", "defghi", "foo", null, null, "", " ");
Assert.assertEquals(10, summary.getTotalCount());
Assert.assertEquals(3, summary.getNullCount());
Assert.assertEquals(7, summary.getNonNullCount());
Assert.assertEquals(2, summary.getEmptyCount());
Assert.assertEquals(0, summary.getMinLength().intValue());
Assert.assertEquals(6, summary.getMaxLength().intValue());
Assert.assertEquals(2.142857, summary.getMeanLength().doubleValue(), 0.001);
}
Example #16
| Source File: StringSummaryAggregator.java From flink with Apache License 2.0 | 5 votes |
|
@Override
public StringColumnSummary result() {
return new StringColumnSummary(
nonNullCount,
nullCount,
emptyCount,
nonNullCount == 0L ? null : minStringLength,
nonNullCount == 0L ? null : maxStringLength,
nonNullCount == 0L ? null : meanLength.value()
);
}
Example #17
| Source File: StringValueSummaryAggregatorTest.java From Flink-CEPplus with Apache License 2.0 | 5 votes |
|
/**
* 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.
*/
@Override
protected StringColumnSummary summarize(String... values) {
StringValue[] stringValues = new StringValue[values.length];
for (int i = 0; i < values.length; i++) {
if (values[i] != null) {
stringValues[i] = new StringValue(values[i]);
}
}
return new AggregateCombineHarness<StringValue, StringColumnSummary, ValueSummaryAggregator.StringValueSummaryAggregator>(){
@Override
protected void compareResults(StringColumnSummary result1, StringColumnSummary result2) {
Assert.assertEquals(result1.getEmptyCount(), result2.getEmptyCount());
Assert.assertEquals(result1.getMaxLength(), result2.getMaxLength());
Assert.assertEquals(result1.getMinLength(), result2.getMinLength());
if (result1.getMeanLength() == null) {
Assert.assertEquals(result1.getMeanLength(), result2.getMeanLength());
}
else {
Assert.assertEquals(result1.getMeanLength().doubleValue(), result2.getMeanLength().doubleValue(), 1e-5d);
}
Assert.assertEquals(result1.getNullCount(), result2.getNullCount());
Assert.assertEquals(result1.getNonNullCount(), result2.getNonNullCount());
}
}.summarize(stringValues);
}
Example #18
| Source File: StringSummaryAggregatorTest.java From Flink-CEPplus with Apache License 2.0 | 5 votes |
|
@Test
public void testAllWithValues() {
StringColumnSummary summary = summarize("cat", "hat", "dog", "frog");
Assert.assertEquals(4, summary.getTotalCount());
Assert.assertEquals(0, summary.getNullCount());
Assert.assertEquals(4, summary.getNonNullCount());
Assert.assertEquals(0, summary.getEmptyCount());
Assert.assertEquals(3, summary.getMinLength().intValue());
Assert.assertEquals(4, summary.getMaxLength().intValue());
Assert.assertEquals(3.25, summary.getMeanLength().doubleValue(), 0.0);
}
Example #19
| Source File: StringSummaryAggregatorTest.java From Flink-CEPplus with Apache License 2.0 | 5 votes |
|
@Test
public void testAllNullStrings() {
StringColumnSummary 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.getEmptyCount());
Assert.assertNull(summary.getMinLength());
Assert.assertNull(summary.getMaxLength());
Assert.assertNull(summary.getMeanLength());
}
Example #20
| Source File: StringSummaryAggregatorTest.java From Flink-CEPplus with Apache License 2.0 | 5 votes |
|
@Test
public void testMixedGroup() {
StringColumnSummary summary = summarize("abc", "", null, " ", "defghi", "foo", null, null, "", " ");
Assert.assertEquals(10, summary.getTotalCount());
Assert.assertEquals(3, summary.getNullCount());
Assert.assertEquals(7, summary.getNonNullCount());
Assert.assertEquals(2, summary.getEmptyCount());
Assert.assertEquals(0, summary.getMinLength().intValue());
Assert.assertEquals(6, summary.getMaxLength().intValue());
Assert.assertEquals(2.142857, summary.getMeanLength().doubleValue(), 0.001);
}
Example #21
| Source File: StringSummaryAggregator.java From Flink-CEPplus with Apache License 2.0 | 5 votes |
|
@Override
public StringColumnSummary result() {
return new StringColumnSummary(
nonNullCount,
nullCount,
emptyCount,
nonNullCount == 0L ? null : minStringLength,
nonNullCount == 0L ? null : maxStringLength,
nonNullCount == 0L ? null : meanLength.value()
);
}
Example #22
| 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 #23
| 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 #24
| 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);
}
