SQLake UI tour
This section helps you to understand and navigate around the SQLake UI.
SQLake main page
Workseets provides a powerful and versatile interface for creating and submitting SQL queries, as well as performing most other DML and all DDL operations, and viewing the results as your statements complete.
Job monitoring UI that provides insights into each job and its progress. This page is helpful in monitoring and troubleshooting existing jobs.
The clusters UI provides a list of clusters in your SQLake environment
This section displays all of the worksheets a user has access to.
This sections displays all worksheets that can only be accessed by the user. They're not visible to others.
This section displays all worksheets that can be accessed and visible to all users in the organization
Pre-built templates that helps you to jump start your SQLake journey. Use the templates with sample data to start quickly.
A pop-up will allow you to discover and search for all templates.
Create a new worksheet to start building your pipeline.
The table also offers the following information:
- Worksheet Name
- Creator Status
- Last Modified
- Created Date
Allows users to filter by:
- Worksheet Name
- Creator Status
- Last Modified
- Created Date
Documentation to help you with building your pipeline. If documentation doesn't offer enough help, you may contact Upsolver or join the community Slack channel.
SQLake worksheet page
Name of the worksheet. By clicking on the drop down, it allows you to rename, duplicate, download, delete and make the worksheet public or private.
This tree allows you navigate and discover the objects that you've used or created in SQLake such as tables, jobs, topics, buckets, etc.
Use the editor to develop and test your code. Hover over the plus button for more options.
SQL editor options
Helps you to understand the result of your SQL before you run the job. This option only works with the
CREATE JOB statements.Click on Run when you're ready to run a SQL statement. The statement executes the query based on where the cursor is located. Optionally, you may use
command + enter as a shortcut.Sample snippets to help you with your SQL syntax while developing your pipeline.
The tables created will show up here. By clicking on the table, you can see the statistics of your data in the table.
The jobs created that either read from or write to the table. By clicking on the job name, you can see the definition and details about the job.
Additional information about the object that you've selected.
Documentation to help you with building your pipeline. If the documentation doesn't offer enough help, you may contact Upsolver or join the community Slack channel.
Last modified 29d ago