- .NET Clients: other versions:
- Introduction
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- 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 Set Query Usage
- Terms List Query Usage
- Terms Lookup Query Usage
- Terms Query Usage
- Wildcard Query Usage
- Compound queries
- Joining queries
- Geo queries
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- NEST specific queries
- Aggregations
- Metric Aggregations
- Average Aggregation Usage
- Boxplot Aggregation Usage
- Cardinality Aggregation Usage
- Extended Stats Aggregation Usage
- Geo Bounds Aggregation Usage
- Geo Centroid Aggregation Usage
- Geo Line Aggregation Usage
- Max Aggregation Usage
- Median Absolute Deviation Aggregation Usage
- Min Aggregation Usage
- Percentile Ranks Aggregation Usage
- Percentiles Aggregation Usage
- Rate Aggregation Usage
- Scripted Metric Aggregation Usage
- Stats Aggregation Usage
- String Stats Aggregation Usage
- Sum Aggregation Usage
- T Test Aggregation Usage
- Top Hits Aggregation Usage
- Top Metrics 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
- Diversified Sampler Aggregation Usage
- Filter Aggregation Usage
- Filters Aggregation Usage
- Geo Distance Aggregation Usage
- Geo Hash Grid Aggregation Usage
- Geo Tile Grid Aggregation Usage
- Global Aggregation Usage
- Histogram Aggregation Usage
- Ip Range Aggregation Usage
- Missing Aggregation Usage
- Multi Terms Aggregation Usage
- Nested Aggregation Usage
- Parent Aggregation Usage
- Range Aggregation Usage
- Rare Terms Aggregation Usage
- Reverse Nested Aggregation Usage
- Sampler Aggregation Usage
- Significant Terms Aggregation Usage
- Significant Text Aggregation Usage
- Terms Aggregation Usage
- Variable Width Histogram Usage
- Pipeline Aggregations
- Average Bucket Aggregation Usage
- Bucket Script Aggregation Usage
- Bucket Selector Aggregation Usage
- Bucket Sort Aggregation Usage
- Cumulative Cardinality 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
- Moving Percentiles Aggregation Usage
- Normalize Aggregation Usage
- Percentiles Bucket Aggregation Usage
- Serial Differencing Aggregation Usage
- Stats Bucket Aggregation Usage
- Sum Bucket Aggregation Usage
- Matrix Aggregations
- Metric Aggregations
IMPORTANT: No additional bug fixes or documentation updates
will be released for this version. For the latest information, see the
current release documentation.
Moving Average Holt Winters Aggregation Usage
edit
IMPORTANT: This documentation is no longer updated. Refer to Elastic's version policy and the latest documentation.
Moving Average Holt Winters Aggregation Usage
editFluent DSL example
edita => a .DateHistogram("projects_started_per_month", dh => dh .Field(p => p.StartedOn) .Interval(DateInterval.Month) .MinimumDocumentCount(0) .Aggregations(aa => aa .Sum("commits", sm => sm .Field(p => p.NumberOfCommits) ) .MovingAverage("commits_moving_avg", mv => mv .BucketsPath("commits") .Window(4) .Model(m => m .HoltWinters(hw => hw .Type(HoltWintersType.Multiplicative) .Alpha(0.5f) .Beta(0.5f) .Gamma(0.5f) .Period(2) .Pad(false) ) ) ) ) )
Object Initializer syntax example
editnew DateHistogramAggregation("projects_started_per_month") { Field = "startedOn", Interval = DateInterval.Month, MinimumDocumentCount = 0, Aggregations = new SumAggregation("commits", "numberOfCommits") && new MovingAverageAggregation("commits_moving_avg", "commits") { Window = 4, Model = new HoltWintersModel { Type = HoltWintersType.Multiplicative, Alpha = 0.5f, Beta = 0.5f, Gamma = 0.5f, Period = 2, Pad = false } } }
Example json output.
{ "projects_started_per_month": { "date_histogram": { "field": "startedOn", "interval": "month", "min_doc_count": 0 }, "aggs": { "commits": { "sum": { "field": "numberOfCommits" } }, "commits_moving_avg": { "moving_avg": { "buckets_path": "commits", "window": 4, "model": "holt_winters", "settings": { "type": "mult", "alpha": 0.5, "beta": 0.5, "gamma": 0.5, "period": 2, "pad": false } } } } } }
Handling Responses
editresponse.ShouldBeValid(); var projectsPerMonth = response.Aggregations.DateHistogram("projects_started_per_month"); projectsPerMonth.Should().NotBeNull(); projectsPerMonth.Buckets.Should().NotBeNull(); projectsPerMonth.Buckets.Count.Should().BeGreaterThan(0); var bucketCount = 0; foreach (var item in projectsPerMonth.Buckets) { bucketCount++; var commits = item.Sum("commits"); commits.Should().NotBeNull(); commits.Value.Should().BeGreaterThan(0); var movingAverage = item.MovingAverage("commits_moving_avg"); // Moving Average specifies a window of 4 so // moving average values should exist from 5th bucket onwards if (bucketCount <= 4) movingAverage.Should().BeNull(); else { movingAverage.Should().NotBeNull(); movingAverage.Value.Should().HaveValue(); } }
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