* Add analyzer documentation Signed-off-by: Fanit Kolchina <[email protected]> * Add index and search analyzer pages Signed-off-by: Fanit Kolchina <[email protected]> * Doc review comments Signed-off-by: Fanit Kolchina <[email protected]> * Apply suggestions from code review Co-authored-by: Melissa Vagi <[email protected]> Signed-off-by: kolchfa-aws <[email protected]> * More doc review comments Signed-off-by: Fanit Kolchina <[email protected]> * Apply suggestions from code review Co-authored-by: Nathan Bower <[email protected]> Signed-off-by: kolchfa-aws <[email protected]> * Implemented editorial comments Signed-off-by: Fanit Kolchina <[email protected]> * Update index-analyzers.md Signed-off-by: kolchfa-aws <[email protected]> --------- Signed-off-by: Fanit Kolchina <[email protected]> Signed-off-by: kolchfa-aws <[email protected]> Co-authored-by: Melissa Vagi <[email protected]> Co-authored-by: Nathan Bower <[email protected]>
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layout, title, parent, grand_parent, nav_order, redirect_from
| layout | title | parent | grand_parent | nav_order | redirect_from | |
|---|---|---|---|---|---|---|
| default | Average | Metric aggregations | Aggregations | 10 |
|
Average aggregations
The avg metric is a single-value metric aggregations that returns the average value of a field.
The following example calculates the average of the taxful_total_price field:
GET opensearch_dashboards_sample_data_ecommerce/_search
{
"size": 0,
"aggs": {
"avg_taxful_total_price": {
"avg": {
"field": "taxful_total_price"
}
}
}
}
{% include copy-curl.html %}
Example response
{
"took": 85,
"timed_out": false,
"_shards": {
"total": 1,
"successful": 1,
"skipped": 0,
"failed": 0
},
"hits": {
"total": {
"value": 4675,
"relation": "eq"
},
"max_score": null,
"hits": []
},
"aggregations": {
"sum_taxful_total_price": {
"value": 75.05542864304813
}
}
}