I have a question similar to this: How can I filter a field greater than a counter on Kibana? https://github.com/elastic/kibana/issues/9684
On this link there is a perfect answer: You need use "{'min_doc_count': X}" on your Json Input Advanced Bucket Option. Perfect, It runs exactly like I want, except because I want the oposite, something like "max_doc_count".
For my surprise, this options doesn't existis... Some one knows what would be the "max_doc_count" equivalent of?
In SQL would be something like: GROUP BY my_field HAVING COUNT(*) < 3
Thanks.
Use the Logs app in Kibana to explore and filter your logs in real time. You can customize the output to focus on the data you want to see and to control how you see it. You can also view related application traces or uptime information where available.
The NOT operator negates the search term. For example, search for any response keyword except 404: Alternatively, use - or ! before the search term to denote negation. The Kibana filter helps exclude or include fields in the search queries. 1. Create a filter by clicking the +Add filter link.
The Kibana filter helps exclude or include fields in the search queries. 1. Create a filter by clicking the +Add filter link. A dialog box appears to create the filter. 2. Select a Field from the dropdown menu or start searching to get autosuggestions. 3.
To match an exact string, use quotation marks. For example, "get elasticsearch" queries the whole string. Kibana allows searching individual fields. Check all available fields on the bottom left menu pane under Available fields: To perform a search in a specific field, use the following syntax: The query syntax depends on the field type.
Kibana is an open source analytics and visualization platform designed to work with Elasticsearch. Kibana can be used to search, view and interact with data stored in Elasticsearch indices. However — Kibana UI is so robust and exhaustive that there are multiple options to customize, filter (KQL vs Lucene vs DSL), share & save
The correct way of doing this in ES is to use a bucket_selector
pipeline aggregation with the special _count
path.
POST /_search
{
"size": 0,
"aggs": {
"my_terms": {
"terms": {
"field": "my_field.keyword"
},
"aggs": {
"max_doc_count": {
"bucket_selector": {
"buckets_path": {
"count": "_count"
},
"script": {
"source": "params.count < 3"
}
}
}
}
}
}
}
In the results, the my_terms
aggregations will only contain buckets where the document count is < 3. No need to order anything or to program your application to ignore anything.
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