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* Add analyzer documentation Signed-off-by: Fanit Kolchina <kolchfa@amazon.com> * Add index and search analyzer pages Signed-off-by: Fanit Kolchina <kolchfa@amazon.com> * Doc review comments Signed-off-by: Fanit Kolchina <kolchfa@amazon.com> * Apply suggestions from code review Co-authored-by: Melissa Vagi <vagimeli@amazon.com> Signed-off-by: kolchfa-aws <105444904+kolchfa-aws@users.noreply.github.com> * More doc review comments Signed-off-by: Fanit Kolchina <kolchfa@amazon.com> * Apply suggestions from code review Co-authored-by: Nathan Bower <nbower@amazon.com> Signed-off-by: kolchfa-aws <105444904+kolchfa-aws@users.noreply.github.com> * Implemented editorial comments Signed-off-by: Fanit Kolchina <kolchfa@amazon.com> * Update index-analyzers.md Signed-off-by: kolchfa-aws <105444904+kolchfa-aws@users.noreply.github.com> --------- Signed-off-by: Fanit Kolchina <kolchfa@amazon.com> Signed-off-by: kolchfa-aws <105444904+kolchfa-aws@users.noreply.github.com> Co-authored-by: Melissa Vagi <vagimeli@amazon.com> Co-authored-by: Nathan Bower <nbower@amazon.com>
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layout | title | parent | grand_parent | nav_order | redirect_from | |
---|---|---|---|---|---|---|
default | Missing | Bucket aggregations | Aggregations | 120 |
|
Missing aggregations
If you have documents in your index that don’t contain the aggregating field at all or the aggregating field has a value of NULL, use the missing
parameter to specify the name of the bucket such documents should be placed in.
The following example adds any missing values to a bucket named "N/A":
GET opensearch_dashboards_sample_data_logs/_search
{
"size": 0,
"aggs": {
"response_codes": {
"terms": {
"field": "response.keyword",
"size": 10,
"missing": "N/A"
}
}
}
}
{% include copy-curl.html %}
Because the default value for the min_doc_count
parameter is 1, the missing
parameter doesn't return any buckets in its response. Set min_doc_count
parameter to 0 to see the "N/A" bucket in the response:
GET opensearch_dashboards_sample_data_logs/_search
{
"size": 0,
"aggs": {
"response_codes": {
"terms": {
"field": "response.keyword",
"size": 10,
"missing": "N/A",
"min_doc_count": 0
}
}
}
}
Example response
...
"aggregations" : {
"response_codes" : {
"doc_count_error_upper_bound" : 0,
"sum_other_doc_count" : 0,
"buckets" : [
{
"key" : "200",
"doc_count" : 12832
},
{
"key" : "404",
"doc_count" : 801
},
{
"key" : "503",
"doc_count" : 441
},
{
"key" : "N/A",
"doc_count" : 0
}
]
}
}
}