- .NET Clients: other versions:
- Introduction
- Breaking changes
- API Conventions
- Elasticsearch.Net - Low level client
- NEST - High level client
- Troubleshooting
- Search
- Query DSL
- Full text queries
- Term level queries
- Exists Query Usage
- Fuzzy Date Query Usage
- Fuzzy Numeric Query Usage
- Fuzzy Query Usage
- Ids Query Usage
- Prefix Query Usage
- Date Range Query Usage
- Long Range Query Usage
- Numeric Range Query Usage
- Term Range Query Usage
- Regexp Query Usage
- Term Query Usage
- Terms List Query Usage
- Terms Lookup Query Usage
- Terms Query Usage
- Terms Set Query Usage
- Type Query Usage
- Wildcard Query Usage
- Compound queries
- Joining queries
- Geo queries
- Geo Bounding Box Query Usage
- Geo Distance Query Usage
- Geo Polygon Query Usage
- Geo Shape Circle Query Usage
- Geo Shape Envelope Query Usage
- Geo Shape Geometry Collection Query Usage
- Geo Shape Indexed Shape Query Usage
- Geo Shape Line String Query Usage
- Geo Shape Multi Line String Query Usage
- Geo Shape Multi Point Query Usage
- Geo Shape Multi Polygon Query Usage
- Geo Shape Point Query Usage
- Geo Shape Polygon Query Usage
- Specialized queries
- Span queries
- NEST specific queries
- Aggregations
- Metric Aggregations
- Average Aggregation Usage
- Cardinality Aggregation Usage
- Extended Stats Aggregation Usage
- Geo Bounds Aggregation Usage
- Geo Centroid Aggregation Usage
- Max Aggregation Usage
- Median Absolute Deviation Aggregation Usage
- Min Aggregation Usage
- Percentile Ranks Aggregation Usage
- Percentiles Aggregation Usage
- Scripted Metric Aggregation Usage
- Stats Aggregation Usage
- Sum Aggregation Usage
- Top Hits Aggregation Usage
- Value Count Aggregation Usage
- Weighted Average Aggregation Usage
- Bucket Aggregations
- Adjacency Matrix Usage
- Auto Date Histogram Aggregation Usage
- Children Aggregation Usage
- Composite Aggregation Usage
- Date Histogram Aggregation Usage
- Date Range Aggregation Usage
- Filter Aggregation Usage
- Filters Aggregation Usage
- Geo Distance Aggregation Usage
- Geo Hash Grid Aggregation Usage
- Global Aggregation Usage
- Histogram Aggregation Usage
- Ip Range Aggregation Usage
- Missing Aggregation Usage
- Nested Aggregation Usage
- Parent Aggregation Usage
- Range Aggregation Usage
- Reverse Nested Aggregation Usage
- Sampler Aggregation Usage
- Significant Terms Aggregation Usage
- Significant Text Aggregation Usage
- Terms Aggregation Usage
- Pipeline Aggregations
- Average Bucket Aggregation Usage
- Bucket Script Aggregation Usage
- Bucket Selector Aggregation Usage
- Bucket Sort Aggregation Usage
- Cumulative Sum Aggregation Usage
- Derivative Aggregation Usage
- Extended Stats Bucket Aggregation Usage
- Max Bucket Aggregation Usage
- Min Bucket Aggregation Usage
- Moving Average Ewma Aggregation Usage
- Moving Average Holt Linear Aggregation Usage
- Moving Average Holt Winters Aggregation Usage
- Moving Average Linear Aggregation Usage
- Moving Average Simple Aggregation Usage
- Moving Function Aggregation Usage
- Percentiles Bucket Aggregation Usage
- Serial Differencing Aggregation Usage
- Stats Bucket Aggregation Usage
- Sum Bucket Aggregation Usage
- Matrix Aggregations
- Metric Aggregations
NOTE: You are looking at documentation for an older release. For the latest information, see the current release documentation.
Auto Date Histogram Aggregation Usage
editAuto Date Histogram Aggregation Usage
editA multi-bucket aggregation similar to the Date Histogram Aggregation except instead of providing an interval to use as the width of each bucket, a target number of buckets is provided indicating the number of buckets needed and the interval of the buckets is automatically chosen to best achieve that target. The number of buckets returned will always be less than or equal to this target number.
When specifying a format
and extended_bounds
or missing
, in order for Elasticsearch to be able to parse
the serialized DateTime
of extended_bounds
or missing
correctly, the date_optional_time
format is included
as part of the format
value.
Be sure to read the Elasticsearch documentation on Auto Date Histogram Aggregation.
Fluent DSL example
edita => a .AutoDateHistogram("projects_started_per_month", date => date .Field(p => p.StartedOn) .Buckets(10) .Format("yyyy-MM-dd'T'HH:mm:ss") .Missing(FixedDate) .Aggregations(childAggs => childAggs .Nested("project_tags", n => n .Path(p => p.Tags) .Aggregations(nestedAggs => nestedAggs .Terms("tags", avg => avg.Field(p => p.Tags.First().Name)) ) ) ) )
Object Initializer syntax example
editnew AutoDateHistogramAggregation("projects_started_per_month") { Field = Field<Project>(p => p.StartedOn), Buckets = 10, Format = "yyyy-MM-dd'T'HH:mm:ss", Missing = FixedDate, Aggregations = new NestedAggregation("project_tags") { Path = Field<Project>(p => p.Tags), Aggregations = new TermsAggregation("tags") { Field = Field<Project>(p => p.Tags.First().Name) } } }
Example json output.
{ "projects_started_per_month": { "auto_date_histogram": { "field": "startedOn", "buckets": 10, "format": "yyyy-MM-dd'T'HH:mm:ss||date_optional_time", "missing": "2015-06-06T12:01:02.123" }, "aggs": { "project_tags": { "nested": { "path": "tags" }, "aggs": { "tags": { "terms": { "field": "tags.name" } } } } } } }
Handling responses
editThe AggregateDictionary found on `.Aggregations
on ISearchResponse<T>
has several helper methods
so we can fetch our aggregation results easily in the correct type.
Be sure to read more about these helper methods
response.ShouldBeValid(); var dateHistogram = response.Aggregations.AutoDateHistogram("projects_started_per_month"); dateHistogram.Should().NotBeNull(); dateHistogram.AutoInterval.Should().NotBeNull(); dateHistogram.Buckets.Should().NotBeNull(); dateHistogram.Buckets.Count.Should().BeGreaterThan(1); foreach (var item in dateHistogram.Buckets) { item.Date.Should().NotBe(default); item.DocCount.Should().BeGreaterThan(0); var nested = item.Nested("project_tags"); nested.Should().NotBeNull(); var nestedTerms = nested.Terms("tags"); nestedTerms.Buckets.Count.Should().BeGreaterThan(0); }