public void testInlineScriptNoBucketsLeft() {
SearchResponse response =
client()
.prepareSearch("idx")
.addAggregation(
histogram("histo")
.field(FIELD_1_NAME)
.interval(interval)
.subAggregation(sum("field2Sum").field(FIELD_2_NAME))
.subAggregation(sum("field3Sum").field(FIELD_3_NAME))
.subAggregation(
bucketSelector(
"bucketSelector",
new Script(
"Double.isNaN(_value0) ? false : (_value0 > 10000)",
ScriptType.INLINE,
null,
null),
"field2Sum",
"field3Sum")))
.execute()
.actionGet();
assertSearchResponse(response);
InternalHistogram<Bucket> histo = response.getAggregations().get("histo");
assertThat(histo, notNullValue());
assertThat(histo.getName(), equalTo("histo"));
List<? extends Bucket> buckets = histo.getBuckets();
assertThat(buckets.size(), equalTo(0));
}
public void testUnmapped() throws Exception {
SearchResponse response =
client()
.prepareSearch("idx_unmapped")
.addAggregation(
histogram("histo")
.field(FIELD_1_NAME)
.interval(interval)
.subAggregation(sum("field2Sum").field(FIELD_2_NAME))
.subAggregation(sum("field3Sum").field(FIELD_3_NAME))
.subAggregation(
bucketSelector(
"bucketSelector",
new Script(
"Double.isNaN(_value0) ? false : (_value0 + _value1 > 100)",
ScriptType.INLINE,
null,
null),
"field2Sum",
"field3Sum")))
.execute()
.actionGet();
assertSearchResponse(response);
InternalHistogram<Bucket> deriv = response.getAggregations().get("histo");
assertThat(deriv, notNullValue());
assertThat(deriv.getName(), equalTo("histo"));
assertThat(deriv.getBuckets().size(), equalTo(0));
}
@Test
public void docCountDerivativeWithGaps() throws Exception {
SearchResponse searchResponse =
client()
.prepareSearch("empty_bucket_idx")
.setQuery(matchAllQuery())
.addAggregation(
histogram("histo")
.field(SINGLE_VALUED_FIELD_NAME)
.interval(1)
.subAggregation(derivative("deriv").setBucketsPaths("_count")))
.execute()
.actionGet();
assertThat(searchResponse.getHits().getTotalHits(), equalTo(numDocsEmptyIdx));
InternalHistogram<Bucket> deriv = searchResponse.getAggregations().get("histo");
assertThat(deriv, Matchers.notNullValue());
assertThat(deriv.getName(), equalTo("histo"));
List<Bucket> buckets = deriv.getBuckets();
assertThat(buckets.size(), equalTo(valueCounts_empty.length));
for (int i = 0; i < valueCounts_empty.length; i++) {
Histogram.Bucket bucket = buckets.get(i);
checkBucketKeyAndDocCount("Bucket " + i, bucket, i, valueCounts_empty[i]);
SimpleValue docCountDeriv = bucket.getAggregations().get("deriv");
if (firstDerivValueCounts_empty[i] == null) {
assertThat(docCountDeriv, nullValue());
} else {
assertThat(docCountDeriv.value(), equalTo(firstDerivValueCounts_empty[i]));
}
}
}
@Test
public void partiallyUnmapped() throws Exception {
SearchResponse response =
client()
.prepareSearch("idx", "idx_unmapped")
.addAggregation(
histogram("histo")
.field(SINGLE_VALUED_FIELD_NAME)
.interval(interval)
.subAggregation(derivative("deriv").setBucketsPaths("_count")))
.execute()
.actionGet();
assertSearchResponse(response);
InternalHistogram<Bucket> deriv = response.getAggregations().get("histo");
assertThat(deriv, notNullValue());
assertThat(deriv.getName(), equalTo("histo"));
List<? extends Bucket> buckets = deriv.getBuckets();
assertThat(deriv.getBuckets().size(), equalTo(numValueBuckets));
for (int i = 0; i < numValueBuckets; ++i) {
Histogram.Bucket bucket = buckets.get(i);
checkBucketKeyAndDocCount("Bucket " + i, bucket, i * interval, valueCounts[i]);
SimpleValue docCountDeriv = bucket.getAggregations().get("deriv");
if (i > 0) {
assertThat(docCountDeriv, notNullValue());
assertThat(docCountDeriv.value(), equalTo((double) firstDerivValueCounts[i - 1]));
} else {
assertThat(docCountDeriv, nullValue());
}
}
}
@Test
public void multiValueAggDerivative() throws Exception {
SearchResponse response =
client()
.prepareSearch("idx")
.addAggregation(
histogram("histo")
.field(SINGLE_VALUED_FIELD_NAME)
.interval(interval)
.subAggregation(stats("stats").field(SINGLE_VALUED_FIELD_NAME))
.subAggregation(derivative("deriv").setBucketsPaths("stats.sum")))
.execute()
.actionGet();
assertSearchResponse(response);
InternalHistogram<Bucket> deriv = response.getAggregations().get("histo");
assertThat(deriv, notNullValue());
assertThat(deriv.getName(), equalTo("histo"));
assertThat(deriv.getBuckets().size(), equalTo(numValueBuckets));
Object[] propertiesKeys = (Object[]) deriv.getProperty("_key");
Object[] propertiesDocCounts = (Object[]) deriv.getProperty("_count");
Object[] propertiesSumCounts = (Object[]) deriv.getProperty("stats.sum");
List<Bucket> buckets = new ArrayList<Bucket>(deriv.getBuckets());
Long expectedSumPreviousBucket = Long.MIN_VALUE; // start value, gets
// overwritten
for (int i = 0; i < numValueBuckets; ++i) {
Histogram.Bucket bucket = buckets.get(i);
checkBucketKeyAndDocCount("Bucket " + i, bucket, i * interval, valueCounts[i]);
Stats stats = bucket.getAggregations().get("stats");
assertThat(stats, notNullValue());
long expectedSum = valueCounts[i] * (i * interval);
assertThat(stats.getSum(), equalTo((double) expectedSum));
SimpleValue sumDeriv = bucket.getAggregations().get("deriv");
if (i > 0) {
assertThat(sumDeriv, notNullValue());
long sumDerivValue = expectedSum - expectedSumPreviousBucket;
assertThat(sumDeriv.value(), equalTo((double) sumDerivValue));
assertThat(
(double)
bucket.getProperty(
"histo", AggregationPath.parse("deriv.value").getPathElementsAsStringList()),
equalTo((double) sumDerivValue));
} else {
assertThat(sumDeriv, nullValue());
}
expectedSumPreviousBucket = expectedSum;
assertThat((long) propertiesKeys[i], equalTo((long) i * interval));
assertThat((long) propertiesDocCounts[i], equalTo(valueCounts[i]));
assertThat((double) propertiesSumCounts[i], equalTo((double) expectedSum));
}
}
/** test first and second derivative on the sing */
@Test
public void singleValuedField_normalised() {
SearchResponse response =
client()
.prepareSearch("idx")
.addAggregation(
histogram("histo")
.field(SINGLE_VALUED_FIELD_NAME)
.interval(interval)
.minDocCount(0)
.subAggregation(derivative("deriv").setBucketsPaths("_count").unit("1"))
.subAggregation(derivative("2nd_deriv").setBucketsPaths("deriv").unit("10")))
.execute()
.actionGet();
assertSearchResponse(response);
InternalHistogram<Bucket> deriv = response.getAggregations().get("histo");
assertThat(deriv, notNullValue());
assertThat(deriv.getName(), equalTo("histo"));
List<? extends Bucket> buckets = deriv.getBuckets();
assertThat(buckets.size(), equalTo(numValueBuckets));
for (int i = 0; i < numValueBuckets; ++i) {
Histogram.Bucket bucket = buckets.get(i);
checkBucketKeyAndDocCount("Bucket " + i, bucket, i * interval, valueCounts[i]);
Derivative docCountDeriv = bucket.getAggregations().get("deriv");
if (i > 0) {
assertThat(docCountDeriv, notNullValue());
assertThat(
docCountDeriv.value(), closeTo((double) (firstDerivValueCounts[i - 1]), 0.00001));
assertThat(
docCountDeriv.normalizedValue(),
closeTo((double) (firstDerivValueCounts[i - 1]) / 5, 0.00001));
} else {
assertThat(docCountDeriv, nullValue());
}
Derivative docCount2ndDeriv = bucket.getAggregations().get("2nd_deriv");
if (i > 1) {
assertThat(docCount2ndDeriv, notNullValue());
assertThat(
docCount2ndDeriv.value(), closeTo((double) (secondDerivValueCounts[i - 2]), 0.00001));
assertThat(
docCount2ndDeriv.normalizedValue(),
closeTo((double) (secondDerivValueCounts[i - 2]) * 2, 0.00001));
} else {
assertThat(docCount2ndDeriv, nullValue());
}
}
}
@Test
public void singleValueAggDerivativeWithGaps_random() throws Exception {
GapPolicy gapPolicy = randomFrom(GapPolicy.values());
SearchResponse searchResponse =
client()
.prepareSearch("empty_bucket_idx_rnd")
.setQuery(matchAllQuery())
.addAggregation(
histogram("histo")
.field(SINGLE_VALUED_FIELD_NAME)
.interval(1)
.extendedBounds(0l, (long) numBuckets_empty_rnd - 1)
.subAggregation(sum("sum").field(SINGLE_VALUED_FIELD_NAME))
.subAggregation(
derivative("deriv").setBucketsPaths("sum").gapPolicy(gapPolicy)))
.execute()
.actionGet();
assertThat(searchResponse.getHits().getTotalHits(), equalTo(numDocsEmptyIdx_rnd));
InternalHistogram<Bucket> deriv = searchResponse.getAggregations().get("histo");
assertThat(deriv, Matchers.notNullValue());
assertThat(deriv.getName(), equalTo("histo"));
List<Bucket> buckets = deriv.getBuckets();
assertThat(buckets.size(), equalTo(numBuckets_empty_rnd));
double lastSumValue = Double.NaN;
for (int i = 0; i < valueCounts_empty_rnd.length; i++) {
Histogram.Bucket bucket = buckets.get(i);
checkBucketKeyAndDocCount("Bucket " + i, bucket, i, valueCounts_empty_rnd[i]);
Sum sum = bucket.getAggregations().get("sum");
double thisSumValue = sum.value();
if (bucket.getDocCount() == 0) {
thisSumValue = gapPolicy == GapPolicy.INSERT_ZEROS ? 0 : Double.NaN;
}
SimpleValue sumDeriv = bucket.getAggregations().get("deriv");
if (i == 0) {
assertThat(sumDeriv, nullValue());
} else {
double expectedDerivative = thisSumValue - lastSumValue;
if (Double.isNaN(expectedDerivative)) {
assertThat(sumDeriv.value(), equalTo(expectedDerivative));
} else {
assertThat(sumDeriv.value(), closeTo(expectedDerivative, 0.00001));
}
}
lastSumValue = thisSumValue;
}
}
public void testInlineScriptNamedVars() {
Map<String, String> bucketPathsMap = new HashMap<>();
bucketPathsMap.put("my_value1", "field2Sum");
bucketPathsMap.put("my_value2", "field3Sum");
SearchResponse response =
client()
.prepareSearch("idx")
.addAggregation(
histogram("histo")
.field(FIELD_1_NAME)
.interval(interval)
.subAggregation(sum("field2Sum").field(FIELD_2_NAME))
.subAggregation(sum("field3Sum").field(FIELD_3_NAME))
.subAggregation(
bucketSelector(
"bucketSelector",
bucketPathsMap,
new Script(
"Double.isNaN(my_value1) ? false : (my_value1 + my_value2 > 100)",
ScriptType.INLINE,
null,
null))))
.execute()
.actionGet();
assertSearchResponse(response);
InternalHistogram<Bucket> histo = response.getAggregations().get("histo");
assertThat(histo, notNullValue());
assertThat(histo.getName(), equalTo("histo"));
List<? extends Bucket> buckets = histo.getBuckets();
for (int i = 0; i < buckets.size(); ++i) {
Histogram.Bucket bucket = buckets.get(i);
Sum field2Sum = bucket.getAggregations().get("field2Sum");
assertThat(field2Sum, notNullValue());
double field2SumValue = field2Sum.getValue();
Sum field3Sum = bucket.getAggregations().get("field3Sum");
assertThat(field3Sum, notNullValue());
double field3SumValue = field3Sum.getValue();
assertThat(field2SumValue + field3SumValue, greaterThan(100.0));
}
}
@Test
public void unmapped() throws Exception {
SearchResponse response =
client()
.prepareSearch("idx_unmapped")
.addAggregation(
histogram("histo")
.field(SINGLE_VALUED_FIELD_NAME)
.interval(interval)
.subAggregation(derivative("deriv").setBucketsPaths("_count")))
.execute()
.actionGet();
assertSearchResponse(response);
InternalHistogram<Bucket> deriv = response.getAggregations().get("histo");
assertThat(deriv, notNullValue());
assertThat(deriv.getName(), equalTo("histo"));
assertThat(deriv.getBuckets().size(), equalTo(0));
}
public void testPartiallyUnmapped() throws Exception {
SearchResponse response =
client()
.prepareSearch("idx", "idx_unmapped")
.addAggregation(
histogram("histo")
.field(FIELD_1_NAME)
.interval(interval)
.subAggregation(sum("field2Sum").field(FIELD_2_NAME))
.subAggregation(sum("field3Sum").field(FIELD_3_NAME))
.subAggregation(
bucketSelector(
"bucketSelector",
new Script(
"Double.isNaN(_value0) ? false : (_value0 + _value1 > 100)",
ScriptType.INLINE,
null,
null),
"field2Sum",
"field3Sum")))
.execute()
.actionGet();
assertSearchResponse(response);
InternalHistogram<Bucket> histo = response.getAggregations().get("histo");
assertThat(histo, notNullValue());
assertThat(histo.getName(), equalTo("histo"));
List<? extends Bucket> buckets = histo.getBuckets();
for (int i = 0; i < buckets.size(); ++i) {
Histogram.Bucket bucket = buckets.get(i);
Sum field2Sum = bucket.getAggregations().get("field2Sum");
assertThat(field2Sum, notNullValue());
double field2SumValue = field2Sum.getValue();
Sum field3Sum = bucket.getAggregations().get("field3Sum");
assertThat(field3Sum, notNullValue());
double field3SumValue = field3Sum.getValue();
assertThat(field2SumValue + field3SumValue, greaterThan(100.0));
}
}
public void testInlineScriptInsertZeros() {
SearchResponse response =
client()
.prepareSearch("idx")
.addAggregation(
histogram("histo")
.field(FIELD_1_NAME)
.interval(interval)
.subAggregation(sum("field2Sum").field(FIELD_2_NAME))
.subAggregation(sum("field3Sum").field(FIELD_3_NAME))
.subAggregation(
bucketSelector(
"bucketSelector",
new Script(
"_value0 + _value1 > 100", ScriptType.INLINE, null, null),
"field2Sum",
"field3Sum")
.gapPolicy(GapPolicy.INSERT_ZEROS)))
.execute()
.actionGet();
assertSearchResponse(response);
InternalHistogram<Bucket> histo = response.getAggregations().get("histo");
assertThat(histo, notNullValue());
assertThat(histo.getName(), equalTo("histo"));
List<? extends Bucket> buckets = histo.getBuckets();
for (int i = 0; i < buckets.size(); ++i) {
Histogram.Bucket bucket = buckets.get(i);
Sum field2Sum = bucket.getAggregations().get("field2Sum");
assertThat(field2Sum, notNullValue());
double field2SumValue = field2Sum.getValue();
Sum field3Sum = bucket.getAggregations().get("field3Sum");
assertThat(field3Sum, notNullValue());
double field3SumValue = field3Sum.getValue();
assertThat(field2SumValue + field3SumValue, greaterThan(100.0));
}
}
public void testEmptyBuckets() {
SearchResponse response =
client()
.prepareSearch("idx_with_gaps")
.addAggregation(
histogram("histo")
.field(FIELD_1_NAME)
.interval(1)
.subAggregation(
histogram("inner_histo")
.field(FIELD_1_NAME)
.interval(1)
.extendedBounds(new ExtendedBounds(1L, 4L))
.minDocCount(0)
.subAggregation(
derivative("derivative", "_count")
.gapPolicy(GapPolicy.INSERT_ZEROS))))
.execute()
.actionGet();
assertSearchResponse(response);
InternalHistogram<Bucket> histo = response.getAggregations().get("histo");
assertThat(histo, notNullValue());
assertThat(histo.getName(), equalTo("histo"));
List<? extends Bucket> buckets = histo.getBuckets();
assertThat(buckets.size(), equalTo(3));
Histogram.Bucket bucket = buckets.get(0);
assertThat(bucket, notNullValue());
assertThat(bucket.getKeyAsString(), equalTo("1"));
Histogram innerHisto = bucket.getAggregations().get("inner_histo");
assertThat(innerHisto, notNullValue());
List<? extends Histogram.Bucket> innerBuckets = innerHisto.getBuckets();
assertThat(innerBuckets, notNullValue());
assertThat(innerBuckets.size(), equalTo(4));
for (int i = 0; i < innerBuckets.size(); i++) {
Histogram.Bucket innerBucket = innerBuckets.get(i);
if (i == 0) {
assertThat(innerBucket.getAggregations().get("derivative"), nullValue());
} else {
assertThat(innerBucket.getAggregations().get("derivative"), notNullValue());
}
}
bucket = buckets.get(1);
assertThat(bucket, notNullValue());
assertThat(bucket.getKeyAsString(), equalTo("2"));
innerHisto = bucket.getAggregations().get("inner_histo");
assertThat(innerHisto, notNullValue());
innerBuckets = innerHisto.getBuckets();
assertThat(innerBuckets, notNullValue());
assertThat(innerBuckets.size(), equalTo(4));
for (int i = 0; i < innerBuckets.size(); i++) {
Histogram.Bucket innerBucket = innerBuckets.get(i);
if (i == 0) {
assertThat(innerBucket.getAggregations().get("derivative"), nullValue());
} else {
assertThat(innerBucket.getAggregations().get("derivative"), notNullValue());
}
}
bucket = buckets.get(2);
assertThat(bucket, notNullValue());
assertThat(bucket.getKeyAsString(), equalTo("3"));
innerHisto = bucket.getAggregations().get("inner_histo");
assertThat(innerHisto, notNullValue());
innerBuckets = innerHisto.getBuckets();
assertThat(innerBuckets, notNullValue());
assertThat(innerBuckets.size(), equalTo(4));
for (int i = 0; i < innerBuckets.size(); i++) {
Histogram.Bucket innerBucket = innerBuckets.get(i);
if (i == 0) {
assertThat(innerBucket.getAggregations().get("derivative"), nullValue());
} else {
assertThat(innerBucket.getAggregations().get("derivative"), notNullValue());
}
}
}
// test to make sure expressions are allowed to be used for reduce in pipeline aggregations
public void testPipelineAggregationScript() throws Exception {
createIndex("agg_index");
ensureGreen("agg_index");
indexRandom(
true,
client()
.prepareIndex("agg_index", "doc", "1")
.setSource("one", 1.0, "two", 2.0, "three", 3.0, "four", 4.0),
client()
.prepareIndex("agg_index", "doc", "2")
.setSource("one", 2.0, "two", 2.0, "three", 3.0, "four", 4.0),
client()
.prepareIndex("agg_index", "doc", "3")
.setSource("one", 3.0, "two", 2.0, "three", 3.0, "four", 4.0),
client()
.prepareIndex("agg_index", "doc", "4")
.setSource("one", 4.0, "two", 2.0, "three", 3.0, "four", 4.0),
client()
.prepareIndex("agg_index", "doc", "5")
.setSource("one", 5.0, "two", 2.0, "three", 3.0, "four", 4.0));
SearchResponse response =
client()
.prepareSearch("agg_index")
.addAggregation(
histogram("histogram")
.field("one")
.interval(2)
.subAggregation(sum("twoSum").field("two"))
.subAggregation(sum("threeSum").field("three"))
.subAggregation(sum("fourSum").field("four"))
.subAggregation(
bucketScript("totalSum")
.setBucketsPaths("twoSum", "threeSum", "fourSum")
.script(
new Script(
"_value0 + _value1 + _value2",
ScriptType.INLINE,
ExpressionScriptEngineService.NAME,
null))))
.execute()
.actionGet();
InternalHistogram<Bucket> histogram = response.getAggregations().get("histogram");
assertThat(histogram, notNullValue());
assertThat(histogram.getName(), equalTo("histogram"));
List<Bucket> buckets = histogram.getBuckets();
for (int bucketCount = 0; bucketCount < buckets.size(); ++bucketCount) {
Histogram.Bucket bucket = buckets.get(bucketCount);
if (bucket.getDocCount() == 1) {
SimpleValue seriesArithmetic = bucket.getAggregations().get("totalSum");
assertThat(seriesArithmetic, notNullValue());
double seriesArithmeticValue = seriesArithmetic.value();
assertEquals(9.0, seriesArithmeticValue, 0.001);
} else if (bucket.getDocCount() == 2) {
SimpleValue seriesArithmetic = bucket.getAggregations().get("totalSum");
assertThat(seriesArithmetic, notNullValue());
double seriesArithmeticValue = seriesArithmetic.value();
assertEquals(18.0, seriesArithmeticValue, 0.001);
} else {
fail("Incorrect number of documents in a bucket in the histogram.");
}
}
}