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There is a performance impact when using a time increment that results in many individual increments. This impact is both in the user interface, where each increment needs to be drawn, as well as on the Elasticsearch level, where they need to be calculated. So use the |
Entity Search
Query syntax to search for items having entities satisfied some criteria:
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entity:{< any query to match a single entity document >} |
Example:
Search for Items containing a specific Entity of type company:
No Format entity:{type:company AND name:"Thomson Reuters"}Search for Items containing at least one company-typed Entity "Thomson Reuters" and another one Entity "Squirro":
No Format entity:{type:company AND name:"Thomson Reuters"} AND entity:{type:company AND name:Squirro}Search for Items containing a specific Entity of type company with a confidence higher than 80%:
No Format entity:{type:company AND name:"Thomson Reuters" AND confidence > 0.8}Search for Items containing any Entity of type company with confidence higher than 70%:
No Format entity:{type:company AND NOT confidence < 0.7}Search for Items containing no Entity of type company with confidence higher or equal than 20%:
No Format entity:{type:company AND confidence < 0.2}Search for Items containing any Entity of type deal with at least a 70% confidence:
No Format entity:{type:deal AND confidence > 0.7}Search for Items containing a specific Entity of type deal:
No Format entity:{type:deal AND properties.size:100 AND properties.region:US AND properties.industry:Tech AND properties.target:Whatsapp AND properties.acquirer:Facebook}Search for Items containing one Entity with target Squirro and another Entity with target Whatsapp:
No Format entity:{type:deal AND properties.target:Squirro AND properties.industry:Tech} AND entity:{type:deal AND properties.target:Whatsapp AND properties.industry:Tech}Search for Items containing an Entity of type deal with a property size bigger than 100:
No Format entity:{type:deal AND properties.size > 100}