diff options
Diffstat (limited to 'doc/development/snowplow')
| -rw-r--r-- | doc/development/snowplow/index.md | 2 | ||||
| -rw-r--r-- | doc/development/snowplow/schemas.md | 4 | ||||
| -rw-r--r-- | doc/development/snowplow/troubleshooting.md | 2 |
3 files changed, 4 insertions, 4 deletions
diff --git a/doc/development/snowplow/index.md b/doc/development/snowplow/index.md index 8d05e05e592..32628744a23 100644 --- a/doc/development/snowplow/index.md +++ b/doc/development/snowplow/index.md @@ -17,7 +17,7 @@ Snowplow is an enterprise-grade marketing and Product Intelligence platform that - **Data modeling** joins event-level data with other data sets, aggregates them into smaller data sets, and applies business logic. This produces a clean set of tables for data analysis. We use data models for Redshift and Looker. - **Analytics** are performed on Snowplow events or on aggregate tables. - + ## Enable Snowplow tracking diff --git a/doc/development/snowplow/schemas.md b/doc/development/snowplow/schemas.md index 5a6cdea9fee..da58cd5f2e5 100644 --- a/doc/development/snowplow/schemas.md +++ b/doc/development/snowplow/schemas.md @@ -68,8 +68,8 @@ Page titles are hardcoded as `GitLab` for the same reason. | `doc_charset` | **{dotted-circle}** | string | Web page's character encoding | | `doc_height` | **{dotted-circle}** | string | Web page height | | `doc_width` | **{dotted-circle}** | string | Web page width | -| `domain_sessionid` | **{dotted-circle}** | string | Unique identifier (UUID) for this visit of this user_id to this domain | -| `domain_sessionidx` | **{dotted-circle}** | integer | Index of number of visits that this user_id has made to this domain (The first visit is `1`) | +| `domain_sessionid` | **{dotted-circle}** | string | Unique identifier (UUID) for this visit of this `user_id` to this domain | +| `domain_sessionidx` | **{dotted-circle}** | integer | Index of number of visits that this `user_id` has made to this domain (The first visit is `1`) | | `domain_userid` | **{dotted-circle}** | string | Unique identifier for a user, based on a first party cookie (so domain specific) | | `dvce_created_tstamp` | **{dotted-circle}** | timestamp | Timestamp when event occurred, as recorded by client device | | `dvce_ismobile` | **{dotted-circle}** | boolean | Indicates whether device is mobile | diff --git a/doc/development/snowplow/troubleshooting.md b/doc/development/snowplow/troubleshooting.md index 306040f8c9c..47df3e43d57 100644 --- a/doc/development/snowplow/troubleshooting.md +++ b/doc/development/snowplow/troubleshooting.md @@ -35,7 +35,7 @@ Drop occurring at application layer can be symptom of some issue, but it might b or even a result of a public holiday in some regions of the world with a larger user-base. To verify if there is an underlying problem to solve, you can check following things: 1. Check `about.gitlab.com` website traffic on [Google Analytics](https://analytics.google.com/analytics/web/) to verify if some public holiday might impact overall use of GitLab system - 1. You may require to open an access request for Google Analytics access first eg: [access request internal issue](https://gitlab.com/gitlab-com/team-member-epics/access-requests/-/issues/1772) + 1. You may require to open an access request for Google Analytics access first, for example: [access request internal issue](https://gitlab.com/gitlab-com/team-member-epics/access-requests/-/issues/1772) 1. Plot `select date(dvce_created_tstamp) , event , count(*) from legacy.snowplow_unnested_events_90 where dvce_created_tstamp > '2021-06-15' and dvce_created_tstamp < '2021-07-10' group by 1 , 2 order by 1 , 2` in SiSense to see what type of events was responsible for drop 1. Plot `select date(dvce_created_tstamp) ,se_category , count(*) from legacy.snowplow_unnested_events_90 where dvce_created_tstamp > '2021-06-15' and dvce_created_tstamp < '2021-07-31' and event = 'struct' group by 1 , 2 order by 1, 2` what events recorded the biggest drops in suspected category 1. Check if there was any MR merged that might cause reduction in reported events, pay an attention to ~"product intelligence" and ~"growth experiment" labeled MRs |