PostgreSQL data output
This article provides an introduction to PostgreSQL along with a guide on creating a PostgreSQL data output using Upsolver.
Last updated
This article provides an introduction to PostgreSQL along with a guide on creating a PostgreSQL data output using Upsolver.
Last updated
PostgreSQL, also known as Postgres, is a free and open-source relational database management system emphasizing extensibility and SQL compliance.
It supports both SQL (relational) and JSON (non-relational) querying and is used as the primary data store or data warehouse for many web, mobile, geospatial, and analytics applications.
1. Go to the Outputs page and click New.
2. Select PostgreSQL as your output type.
3. Name your output and select your Data Sources.
4. Select New to create a new table or Existing to output to an existing table. Then click Next.
If outputting to an existing table, complete the database options as prompted before clicking Next again. If necessary, create a new PostgreSQL connection.
Click Properties to review this output's properties. See: Output properties
5. Click the information iconin the fields tree to view information about a field. The following will be displayed:
How many of the events in this data source include this field, expressed as a percentage (e.g. 20.81%).
The percentage distribution of the field values. These distribution values can be exported by clicking Export.
6. Click the information iconnext to a hierarchy element (such as the overall data) to review the following metrics:
The number of fields in the selected hierarchy.
7. Click the plus iconin the fields tree to add a field from the data source to your output. This will be reflected under the Data Source Field in the Schema tab.
If required, modify the column name under Schema Column.
Toggle from UI to SQL at any point to view the corresponding SQL code for your selected output.
You can also edit your output directly in SQL. See: Transform with SQL
8. Add any required calculated fields and review them in the Calculated Fields tab. See: Adding calculated fields
9. Add any required lookups and review them under the Calculated Fields tab.
10. Through the Filters tab, add a filter like WHERE in SQL to the data source.
See: Adding filters
11. Click Make Aggregated to turn the output into an aggregated output. Read the warning before clicking OK and then add the required aggregation. This aggregation field will then be added to the Schema tab. See: Aggregation functions
12. In the Aggregation Calculated Fields area under the Calculated Fields tab, add any required calculated fields on aggregations. See: Functions, Aggregation functions
13. To keep only the latest event per upsert key, click More > Manage Upserts then select the following:
Keys: A unique key identifying a row in the table.
Deletions: The delete key (events with the value true in their deletion key field will be deleted).
See: Data types and features, How do upserts work?
Click Preview at any time to view a preview of your current output.
14. Click Run and fill out the following fields:
PostgreSQL Connection: How to create a new PostgreSQL connection
Schema
Table Name
Intermediate Storage Location: Where Upsolver will store the intermediate bulk files which it will then load into PostgreSQL using the load data infile command
See: Running an output, Database output options
15. Click Next and complete the following:
Select the compute cluster to run the calculation on. Alternatively, click the drop-down and create a new compute cluster.
16. Finally, click Deploy to run the output. It will show as Running in the output panel and is now live in production and consumes compute resources.
You have now successfully outputted your table to your PostgreSQL database.
Additionally, click the gear iconto modify other details such as Column Type and Size.
To remove a field, click the unlink iconto clear the column mapping then the garbage iconto drop the column.
