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fields=chromosome>>type
List of facet fields separated by semicolons, e.g.: studies;type. For nested faceted fields use >>, e.g.: chromosome>>type;percentile(gerp) | query |
Ranges
When asking for ranges, the result contains multiple buckets over a numeric field. You must specify the field name, the lower and upper bounds and the gap or bucket size.
field_name[start..end]:step
E.g.: gerp[0..5]:0.2
Range parameters:
| Parameter | Description |
|---|---|
field_name | The numeric field name to produce range buckets from. |
start | Lower bound of the ranges. |
end | Upper bound of the ranges. |
step | Size of each range bucket produced. |
Aggregation functions
Aggregation functions, also called facet functions, analytic functions, or metrics, calculate something interesting over a domain (each facet bucket).
aggregation_function(field_name)
List of aggregation functions:
| Aggregation function | Description | Example |
|---|---|---|
avg | Average of numeric values | avg(gerp) |
min | Minimum value | min(sift) |
max | Maximum value | max(caddScaled) |
unique | Number of unique values | unique(biotypes) |
hll | Distributed cardinality estimate via hyper-log-log algorithm | hll(type) |
percentile | Percentile estimates via t-digest algorithm. Calculate the percentiles: 1, 10, 25, 50, 75, 90 and 99th. | percentile(gerp) |
sumsq | Sum of squares of field or function | sumsq(caddRaw) |
Nested facets
Nested facets allow users to nest bucketing terms, ranges or aggregations. In order to specify nested facets you must use the symbols: >>
Some examples:
| chromosome>>type |
chromosome[1,2,3,4]>>type>>gerp[0..5]:0.25 |