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Histogram field: Use #name() instead of #simpleName() when generating doc values (#51920) (#51927)

This commit is contained in:
Ignacio Vera 2020-02-05 12:35:49 +01:00 committed by GitHub
parent 289d4f4f4d
commit ababd730f6
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GPG Key ID: 4AEE18F83AFDEB23
2 changed files with 26 additions and 14 deletions
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2
x-pack/plugin/analytics/src/main/java/org/elasticsearch/xpack/analytics/mapper/HistogramFieldMapper.java
View File

@ -373,7 +373,7 @@ public class HistogramFieldMapper extends FieldMapper {
}
}
BytesRef docValue = new BytesRef(dataOutput.toArrayCopy(), 0, Math.toIntExact(dataOutput.size()));
Field field = new BinaryDocValuesField(simpleName(), docValue);
Field field = new BinaryDocValuesField(name(), docValue);
if (context.doc().getByKey(fieldType().name()) != null) {
throw new IllegalArgumentException("Field [" + name() + "] of type [" + typeName() +
"] doesn't not support indexing multiple values for the same field in the same document");

38
x-pack/plugin/analytics/src/test/java/org/elasticsearch/xpack/analytics/mapper/HistogramPercentileAggregationTests.java
View File

@ -138,8 +138,12 @@ public class HistogramPercentileAggregationTests extends ESSingleNodeTestCase {
.startObject()
.startObject("_doc")
.startObject("properties")
.startObject("data")
.field("type", "double")
.startObject("inner")
.startObject("properties")
.startObject("data")
.field("type", "double")
.endObject()
.endObject()
.endObject()
.endObject()
.endObject()
@ -153,8 +157,12 @@ public class HistogramPercentileAggregationTests extends ESSingleNodeTestCase {
.startObject()
.startObject("_doc")
.startObject("properties")
.startObject("data")
.field("type", "histogram")
.startObject("inner")
.startObject("properties")
.startObject("data")
.field("type", "histogram")
.endObject()
.endObject()
.endObject()
.endObject()
.endObject()
@ -164,7 +172,7 @@ public class HistogramPercentileAggregationTests extends ESSingleNodeTestCase {
client().admin().indices().putMapping(request2).actionGet();
int compression = TestUtil.nextInt(random(), 25, 300);
int compression = TestUtil.nextInt(random(), 200, 300);
TDigestState histogram = new TDigestState(compression);
BulkRequest bulkRequest = new BulkRequest();
@ -175,7 +183,9 @@ public class HistogramPercentileAggregationTests extends ESSingleNodeTestCase {
double value = random().nextDouble();
XContentBuilder doc = XContentFactory.jsonBuilder()
.startObject()
.field("data", value)
.startObject("inner")
.field("data", value)
.endObject()
.endObject();
bulkRequest.add(new IndexRequest("raw").source(doc));
histogram.add(value);
@ -191,10 +201,12 @@ public class HistogramPercentileAggregationTests extends ESSingleNodeTestCase {
}
XContentBuilder preAggDoc = XContentFactory.jsonBuilder()
.startObject()
.startObject("data")
.field("values", values.toArray(new Double[values.size()]))
.field("counts", counts.toArray(new Integer[counts.size()]))
.endObject()
.startObject("inner")
.startObject("data")
.field("values", values.toArray(new Double[values.size()]))
.field("counts", counts.toArray(new Integer[counts.size()]))
.endObject()
.endObject()
.endObject();
client().prepareIndex("pre_agg", "_doc").setSource(preAggDoc).get();
histogram = new TDigestState(compression);
@ -209,7 +221,7 @@ public class HistogramPercentileAggregationTests extends ESSingleNodeTestCase {
assertEquals(numDocs / frq, response.getHits().getTotalHits().value);
PercentilesAggregationBuilder builder =
AggregationBuilders.percentiles("agg").field("data").method(PercentilesMethod.TDIGEST)
AggregationBuilders.percentiles("agg").field("inner.data").method(PercentilesMethod.TDIGEST)
.compression(compression).percentiles(10, 25, 500, 75);
SearchResponse responseRaw = client().prepareSearch("raw").addAggregation(builder).get();
@ -220,8 +232,8 @@ public class HistogramPercentileAggregationTests extends ESSingleNodeTestCase {
InternalTDigestPercentiles percentilesPreAgg = responsePreAgg.getAggregations().get("agg");
InternalTDigestPercentiles percentilesBoth = responseBoth.getAggregations().get("agg");
for (int i = 1; i < 100; i++) {
assertEquals(percentilesRaw.percentile(i), percentilesPreAgg.percentile(i), 1e-2);
assertEquals(percentilesRaw.percentile(i), percentilesBoth.percentile(i), 1e-2);
assertEquals(percentilesRaw.percentile(i), percentilesPreAgg.percentile(i), 1.0);
assertEquals(percentilesRaw.percentile(i), percentilesBoth.percentile(i), 1.0);
}
}