Introducing the new Tempo.io source plugin

• June 12, 2024

Tempo.io offers a variety of solutions to aid in business processes planning and management.

Why Tempo.io + CloudQuery? #

The Tempo.io source plugin allows you to perform advanced data filtering and grouping without relying on restrictive UI filters. Furthermore, when used in conjunction with other source plugins (e.g., Jira or BitBucket source plugin) it allows for cross-referencing the data to gain more insights into the processes and possible blind spots.

With the latest release, the CloudQuery Tempo.io source plugin supports fetching the following resources:

Accounts into the tempo_accounts table
Customers into the tempo_customers table
Plans into the tempo_plans table
Programs into the tempo_programs table
Teams into the tempo_teams table
- Team Memberships into the tempo_team_memberships table
Work logs into the tempo_worklogs table

Use cases #

Let's take a look at a couple of examples to help you get started with the Tempo.io source plugin.

In all of these examples we assume the data was synced from Tempo.io source to a Postgres destination plugin.

People that are committed to program implementation at the moment #

Sometimes you want to know how many people are committed to implementing a program. You can do this by the following query:

select programs.id, programs.name, coalesce(sum(memberships.commitment_percent), 0) / 100 as committed_people
from
    (select id, name, (jsonb_array_elements(teams -> 'values') -> 'id') ::bigint as team_id from tempo_programs) programs
left join
    (select commitment_percent::bigint, team_id from tempo_team_memberships
        where (tempo_team_memberships.from is null or tempo_team_memberships.from <= current_date)
          and (tempo_team_memberships.inclusive_to is null or tempo_team_memberships.inclusive_to >= current_date)
    ) memberships
    on programs.team_id = memberships.team_id
group by programs.id, programs.name
order by committed_people desc;

Tasks that required more time than is billable #

Sometimes the task at hand requires a lot of time, and the billable time may diverge from the time spent. The following query helps to identify what issues have mismatched logged billable time and time spent.

select issue ->> 'id'          as issue_id,
       sum(billable_seconds)   as billable_seconds,
       sum(time_spent_seconds) as time_spent_seconds
from tempo_worklogs
where billable_seconds != time_spent_seconds
group by issue_id
order by time_spent_seconds desc, billable_seconds desc;

Getting Started #

To get started syncing Tempo.io data, see the Tempo.io source plugin documentation for instructions.

Incremental data #

To prevent repeated syncing of the same data CloudQuery supports incremental tables. We designed tempo_plans and tempo_worklogs tables to be incremental, so that only the updated and new entries are fetched.

To take advantage of this feature be sure to add the backend_options field to your sync spec.

For example, to sync from Tempo.io to PostgreSQL you could use the following configuration (remember to update the versions and add your own credentials):

kind: source
spec:
  name: tempo-io
  path: cloudquery/tempo-io
  registry: cloudquery
  version: 'v1.x.x'
  tables:
    - '*'
  destinations: ['postgresql']
  backend_options:
    table_name: 'cq_state_tempo_io'
    connection: '@@plugins.postgresql.connection'
  spec:
    api_key: '${TEMPO_IO_API_KEY}'
---
kind: destination
spec:
  name: postgresql
  path: cloudquery/postgresql
  registry: cloudquery
  version: 'v8.x.x'
  spec:
    connection_string: '${POSTGRES_DSN}'

Ready to get started with CloudQuery? You can try out CloudQuery locally with our quick start guide or explore the CloudQuery Platform (currently in beta) for a more scalable solution.

Got feedback or suggestions? Join the CloudQuery community to connect with other users and experts, or message our team directly here if you have any questions.

Written by Aleksandr Shcherbakov

Alex is a senior software engineer at CloudQuery who specialises in application development and cloud data infrastructure.

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