Required signals for App Insights

Although there are many fields that are relevant to signals, this topic describes which fields are required for each type of signal. Without these fields, reports and dashboards may not function as expected.

Report	Signal Types Used	Required Field	Type	Description	Example
Search queries	✘ Annotation ✅ Click ✘ Login ✅ Request ✅ Response	`query`	string	Terms of the query.	`physics`
Facets used	✘ Annotation ✘ Click ✘ Login ✅ Request ✘ Response	`filter_field`	array of string	List of filters associated with the query, which in turn is associated with signal.	`["categories_s"]`
Facet filters applied	✘ Annotation ✘ Click ✘ Login ✅ Request ✘ Response	`filter`	array of string	List of applied filters associated with the query, which in turn is associated with signal.	`["categories_s/math.OA"]`
Application servers	✘ Annotation ✅ Click ✘ Login ✅ Request ✘ Response	`host`	string	Host name of the server that is hosting the app, which in turn is generating the signal.	`lucidworks`
Response times	✘ Annotation ✘ Click ✘ Login ✘ Request ✅ Response	`time`	number	Response time (in milliseconds).	`17`
URLs clicked	✘ Annotation ✅ Click ✘ Login ✘ Request ✘ Response	`url`	string	URL of the page that was selected from the search results. This typically results from a click signal.	`http://arxiv.org/pdf/astro-ph/0611688v1`
Search pages	✘ Annotation ✘ Click ✘ Login ✅ Request ✘ Response	`page_title`	string	Title of the page that the signal originated from.	`Search Preview`
Search platforms	✘ Annotation ✅ Click ✘ Login ✅ Request ✅ Response	`platform`	string	Name of the search platform.	`fusion`
Visitor countries	✘ Annotation ✅ Click ✘ Login ✅ Request ✘ Response	`geo_country_name`	string	Originating country of the user.	`United States`
Visitor cities	✘ Annotation ✅ Click ✘ Login ✅ Request ✘ Response	`geo_city_name`	string	Originating city of the user.	`San Francisco`
Browsers	✘ Annotation ✅ Click ✘ Login ✅ Request ✘ Response	`browser_name`	string	Name of the browser that generated the signal.	`Firefox`
Operating System	✘ Annotation ✅ Click ✘ Login ✅ Request ✘ Response	`os_name`	string	Name of the operating system used by the user.	`Ubuntu`
Device types	✘ Annotation ✅ Click ✘ Login ✅ Request ✘ Response	`os_device`	string	Type of the device used by the user.	`Computer`
Websites people are coming from	✘ Annotation ✅ Click ✘ Login ✘ Request ✘ Response	`referrer_domain`	string	URL of the page that the signal originated from.	`http://www.google.com`
Users	✘ Annotation ✅ Click ✘ Login ✅ Request ✘ Response	`user_id`	string	Unique ID for the user that generated the signal.	`admin`
User domains	N/A	`domain`	string	Domain of the user that generated the signal.	`lucidworks.com`
Types of event	✅ Annotation ✅ Click ✅ Login ✅ Request ✅ Response	`type`	string	Type of the signal.	`click`
Head Tail analysis	✘ Annotation			This report is populated by running a head tail job in Managed Fusion. With a collection called `foo`, for example, run the `foo_head_tail` job.	N/A
✅ Click	type	string	N/A
✅ Click	query	string	N/A
✘ Login			N/A
✘ Request			N/A
✅ Response	`count_i`	number	N/A

The fields mentioned above are defined as follows:

Field Name	Example Value	Description
`count_i`	1	Number of times an interaction event occurred with this item
`doc_id`	NMDDV	Product ID or Item ID
`query`	xwearabletech	A query string from the user
`session_id`	91aa66d11af44b6c90ccef44d055cf9a	Id for session in which user generated the signal
`type`	quick_view_click	Type of session the user used to interact with the platform
`user_id`	11506893	ID of user during the session
`timestamp_tdt`	2018-11-20T17:58:57.650Z	Time when signal was generated

Some signal types, including custom signal types, may include additional fields.

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