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update approx-histogram document to explain how to ignore rows with no value at ingestion time
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@ -44,14 +44,17 @@ especially with long tails, since that's where the approximation will be worse.
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### Creating approxiate histogram sketches at ingestion time
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### Creating approxiate histogram sketches at ingestion time
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To use this feature, an "approxHistogram" aggregator must be included at
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To use this feature, an "approxHistogram" or "approxHistogramFold" aggregator must be included at
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indexing time. The ingestion aggregator can only apply to numeric values. To
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indexing time. The ingestion aggregator can only apply to numeric values. If you use "approxHistogram"
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query for results, an "approxHistogramFold" aggregator must be included in the
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then any input rows missing the value will be considered to have a value of 0, while with "approxHistogramFold"
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such rows will be ignored.
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To query for results, an "approxHistogramFold" aggregator must be included in the
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query.
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query.
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```json
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```json
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{
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{
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"type" : "approxHistogram(ingestion), approxHistogramFold(query)",
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"type" : "approxHistogram or approxHistogramFold (at ingestion time), approxHistogramFold (at query time)",
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"name" : <output_name>,
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"name" : <output_name>,
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"fieldName" : <metric_name>,
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"fieldName" : <metric_name>,
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"resolution" : <integer>,
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"resolution" : <integer>,
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