Last updated: April 23, 2024
How to activate data observability for PostgreSQL
Read this guide to learn how to connect DQOps to PostgreSQL from the UI, command-line interface, or directly in YAML files, and activate monitoring.
Overview
PostgreSQL is a powerful, open source object-relational database system that uses and extends the SQL language combined with many features that safely store and scale the most complicated data workloads.
Prerequisite credentials
To add PostgreSQL data source connection to DQOps you need a PostgreSQL account.
By default, PostgreSQL restricts connections to hosts and networks included in the pg_hba.conf file. In case of restrictions you need to add the IP address used by DQOps to Allowed IP Addresses in PostgreSQL Network Policies.
Add PostgreSQL connection using the user interface
Navigate to the connection settings
To navigate to the PostgreSQL connection settings:
-
Go to the Data Sources section and click the + Add connection button in the upper left corner.
-
Select PostgreSQL database type.
Fill in the connection settings
After navigating to the PostgreSQL connection settings, you will need to fill in its details.
PostgreSQL connection settings | Property name in YAML configuration file | Description |
---|---|---|
Connection name | The name of the connection that will be created in DQOps. This will also be the name of the folder where the connection configuration files are stored. The name of the connection must be unique and consist of alphanumeric characters. | |
Host | host |
PostgreSQL host name. Supports also a ${POSTGRESQL_HOST} configuration with a custom environment variable. |
Port | port |
PostgreSQL port name. The default port is 5432. Supports also a ${POSTGRESQL_PORT} configuration with a custom environment variable. |
Password | password |
PostgreSQL database password. The value can be in the ${ENVIRONMENT_VARIABLE_NAME} format to use dynamic substitution. |
sslmode | sslmode |
PostgreSQL sslmode parameter. The default value is disabled. See the PostgreSQL documentation for more information about using SSL. |
JDBC connection property | Optional setting. DQOps supports using JDBC driver to access PostgreSQL. See the PostgreSQL documentation for JDBC connection parameter references. |
DQOps allows you to dynamically replace properties in connection settings with environment variables. To use it, simply change "clear text" to ${ENV_VAR} using the drop-down menu at the end of the variable entry field and type your variable.
For example:
To add optional JDBC connection properties, just type the JDBC connection property and the Value. The value can be in the ${ENVIRONMENT_VARIABLE_NAME} format to use dynamic substitution.
For example:
To remove the property click on the trash icon at the end of the input field.
After filling in the connection settings, click the Test Connection button to test the connection.
Click the Save connection button when the test is successful otherwise, you can check the details of what went wrong.
Import metadata using the user interface
-
Import the selected data resources (source schemas and tables) by clicking on the Import Tables button next to the name of the source schema from which you want to import tables.
-
Select the tables you want to import or import all tables using the buttons in the upper right corner.
When new tables are imported, DQOps automatically activates profiling and monitoring checks, such as row count, table availability, and checks detecting schema changes. These checks are scheduled to run daily at 12:00 p.m. By clicking on the Advisor at the top of the page, you can quickly collect basic statistics, run profiling checks, or modify the schedule for newly imported tables.
Add PostgreSQL connection using DQOps Shell
To add a connection run the following command in DQOps Shell.
Fill in the data you will be asked for.
Connection name (--name): connection1
Database provider type (--provider):
[ 1] bigquery
[ 2] databricks
[ 3] mysql
[ 4] oracle
[ 5] postgresql
[ 6] duckdb
[ 7] presto
[ 8] redshift
[ 9] snowflake
[10] spark
[11] sqlserver
[12] trino
Please enter one of the [] values: 5
PostgreSQL host (--postgresql-host)[${POSTGRESQL_HOST}]: localhost
PostgreSQL port (--postgresql-port) [${POSTGRESQL_PORT}]: 65234
PostgreSQL user (--postgresql-user) [${POSTGRESQL_USER}]: testing
PostgreSQL password (--postgresql-password) [${POSTGRESQL_PASSWORD}]: xxx
Connection connecton1 was successfully added.
Run 'table import -c=connection1' to import tables.
You can also run the command with parameters to add a connection in just a single step.
dqo> connection add --name=connection1
--provider=postgresql
--postgresql-host=localhost
--postgresql-port=65234
--postgresql-user=testing
--postgresql-password=xxx
After adding connection run table import -c=connection1
to select schemas and import tables.
DQOps will ask you to select the schema from which the tables will be imported.
You can also add the schema and table name as a parameter to import tables in just a single step.
DQOps supports the use of the asterisk character * as a wildcard when selecting schemas and tables, which can substitute any number of characters. For example, use pub* to find all schema a name with a name starting with "pub". The * character can be used at the beginning, in the middle or at the end of the name.
Connections configuration files
Connection configurations are stored in the YAML files in the ./sources
folder. The name of the connection is also
the name of the folder where the configuration file is stored.
Below is a sample YAML file showing an example configuration of the PostgreSQL data source connection.
apiVersion: dqo/v1
kind: source
spec:
provider_type: postgresql
postgresql:
host: localhost
port: 65234
user: testing
password: xxx
properties:
'connectTimeout ': 12
incident_grouping:
grouping_level: table_dimension_category
minimum_severity: warning
max_incident_length_days: 60
mute_for_days: 60
Reference of all connection parameters
Complete documentation of all connection parameters used in the spec.postgresql
node is
described in the reference section of the PostgresqlParametersSpec
YAML file format.
Next steps
- We have provided a variety of use cases that use openly available datasets from Google Cloud to help you in using DQOps effectively. You can find the full list of use cases here.
- DQOps allows you to keep track of the issues that arise during data quality monitoring and send alert notifications directly to Slack. Learn more about incidents and notifications.
- The data in the table often comes from different data sources and vendors or is loaded by different data pipelines. Learn how data grouping in DQOps can help you calculate separate data quality KPI scores for different groups of rows.