GitHub
The Qlik GitHub connector uses the GitHub REST API to access data from your GitHub repositories, such as the change details of a single commit.
Ways to access your data
To access your GitHub data create a connection and select GitHub as your data source. You are redirected to a GitHub login page. Log into your GitHub account using your credentials to receive an authentication code, and enter this code into the connector.
Creating a data source connection
Loading data from tables
After you authenticate the connector with your account credentials, use the tables to fetch your data. Some tables are preconfigured to access a specific set of data while others let you create custom queries. The table below outlines some of the use cases for some of the tables that are available.
| Table | Available in | Description |
|---|---|---|
| Branches | Gerenciador de dados and Editor da carga de dados | Lists all branches for a specified repository. |
| Commits | Gerenciador de dados and Editor da carga de dados | Lists repository commits after a specified date. The table returns a list of commits and the associated SHA key, which is required to run other tables. |
| FileChanges | Editor da carga de dados | Lists which files were changed during a single commit. |
| Issues | Gerenciador de dados and Editor da carga de dados | List issues for a repository. |
| ListTags | Gerenciador de dados and Editor da carga de dados | List tags for a repository. |
| OrganisationRepositories | Gerenciador de dados and Editor da carga de dados | Fetch the list of repositories for a specified organization. This table requires the name of the organization. |
| PullRequests | Editor da carga de dados | Lists all pull requests for a specified repository. |
| PullRequestsComments | Editor da carga de dados | List comments on a pull request. |
| PullRequestsCommits | Editor da carga de dados | List commits on a pull request. The response includes a maximum of 250 commits (API limit). |
| PullRequestsFiles | Editor da carga de dados | List pull requests files. The response includes a maximum of 300 files (API limit). |
| PullRequestsReviews | Editor da carga de dados | List reviews on a pull request. |
| RateLimit | Editor da carga de dados | Shows your current API rate limit status. |
| Releases | Gerenciador de dados and Editor da carga de dados | Information about published releases. This returns a list of releases, which does not include regular Git tags that have not been associated with a release. |
| RepositoryComments | Gerenciador de dados and Editor da carga de dados | List comments on all pull requests in a repository. |
| RequestedUserReview | Editor da carga de dados | List user review requests. |
| SingleCommitStats | Editor da carga de dados | Use this table to fetch the change stats for a single commit. |
| Statuses | Gerenciador de dados, Editor da carga de dados and standalone | Shows the commit statuses. |
| StatusHistory | Gerenciador de dados, Editor da carga de dados and standalone | Shows the statuses history. |
| UserRepositories | Gerenciador de dados and Editor da carga de dados | Use this table to fetch the list of repositories for the authenticated user. The repository names are required to run other tables. |
To select and load data from a table, enter the required table parameters and click Preview data. Required parameters are marked with an asterisk (*) in the dialog. The table fields are displayed under the Data preview tab. You can select fields individually by selecting the box beside each field name. Select Insert script after you have made your selection.
Creating a connection and selecting data
Listing issues with the Issues table
The Issues table lets you list issues for a specific repository, using the repository name and the date range of the query. You can use the Issue State menu to limit the query to the type of issues you are interested in. Your options are:
- open
- closed
- all
Working with the GitHub API quota limits
The Qlik Web Connectors use the GitHub API to extract data from GitHub and load it into your Qlik Sense app. While reloading your GitHub-based app, you might receive an error message that the connector has reached the GitHub API rate limit and that all subsequent API calls will fail until the connector falls back under the throttling limit. If you receive this error message, then you have exceeded one of the API rate limits.
You receive an error message that you have reached the API rate limit
Reference - GitHub documentation
You can refer to the GitHub developer documentation to learn more about the requirements and restriction imposed by the GitHub API.
Troubleshooting
You receive an error message that you have reached the API rate limit
Possível causa
You have exceeded the API limits that are imposed on the Qlik Web Connectors by the GitHub API.
Ação proposta
To reduce the impact of reaching the API rate limits, develop your app with the following in mind:
- Extract only the data you need.
- Reload one GitHub-based application at a time.
- Ensure that loops in your script that make API calls will not result in infinite loops.