Could use a hand troubleshooting this Studio script where the DBConnector action consistently returns null despite valid input. I am executing a lookup against an external Postgres database using the primary key stored in the user_id attribute.
The SQL query is simple: SELECT * FROM user_profiles WHERE id = '${user_id}'. I have verified the connection string and credentials in the DBConnector configuration, and the network ping from the CXone environment succeeds.
The action logs show no errors, but the output data object remains empty. Is there a specific syntax requirement for parameter binding in the Studio DBConnector that I might be missing?
Have you tried wrapping the parameter in explicit single quotes within the SQL string? ODBC drivers often fail to parse unquoted string literals in dynamic queries. Change it to WHERE id = '${user_id}' or better yet, use a parameterized query. See CXone DBConnector Docs.
Have you tried wrapping the parameter in explicit single quotes within the SQL string? ODBC drivers often fail to parse unquoted string literals in dynamic queries. Change it to WHERE id = '${user_id}' or better yet, use a parameterized query.
The suggestion above addresses the immediate syntax error, but it ignores the underlying injection risk and type coercion issues inherent in dynamic string interpolation. In the platform_api_js SDK, when constructing queries for external connectors, you should never inject raw user attributes directly into the SQL string. Instead, leverage the parameterized query support available in the DBConnector configuration. This ensures proper escaping and type handling at the driver level.
If you are using the TypeScript SDK to manage or debug these connector definitions, you can enforce this pattern programmatically. Here is how you structure the query definition to avoid the null return caused by type mismatches or malformed SQL:
import { PureCloudPlatformClientV2 } from '@genesyscloud/purecloud-platform-client-v2';
const client = new PureCloudPlatformClientV2();
// Define the parameterized query instead of string interpolation
const queryConfig = {
sql: "SELECT * FROM user_profiles WHERE id = ?",
parameters: [
{
name: "user_id",
value: "{{user_id}}", // Reference the flow variable directly
type: "VARCHAR" // Explicitly define type to prevent driver coercion errors
}
]
};
// Verify the connector configuration via API
client.PlatformApi.getPlatformIntegrationConnectorsId("your-connector-id")
.then((response) => {
console.log("Connector config validated:", response.body);
})
.catch((error) => {
console.error("Error fetching connector:", error);
});
Using ? placeholders with explicit type definitions in the parameters array prevents the ODBC driver from misinterpreting numeric IDs as strings or vice versa. This approach is also immune to SQL injection, which is critical when user_id originates from external sources. The null result was likely due to the driver failing to bind the untyped string literal to the integer primary key column.
It depends, but generally string interpolation fails if the attribute type mismatches the DB column schema. verify the Pact consumer contract for the DBConnector response. use parameterized queries to avoid injection and ensure strict type handling. the snippet below shows the correct payload structure for contract verification.
{
"sql": "SELECT * FROM user_profiles WHERE id = ?",
"parameters": [{"value": "${user_id}", "type": "VARCHAR"}]
}
I think the null return is rarely a network issue and almost always stems from how the DBConnector handles parameter binding versus string interpolation in the SQL execution context.
The suggestion above regarding parameterized queries is technically sound, but it misses the critical configuration step required in the CXone Studio DBConnector action to actually map those parameters correctly. When using ? placeholders, you must explicitly define the parameter types and values in the action configuration, not just in the SQL string. The ODBC driver will reject the query if the type inference fails, resulting in a silent null or error depending on your error handling flow.
Here is the correct JSON structure for the DBConnector action configuration when using parameterized queries to ensure type safety and prevent injection:
{
"action": "DBConnector",
"config": {
"connectionName": "postgres_external",
"sql": "SELECT * FROM user_profiles WHERE id = ?",
"parameters": [
{
"name": "param_1",
"value": "{{user_id}}",
"type": "STRING"
}
],
"resultMapping": {
"outputVariable": "db_result",
"mappingType": "OBJECT"
}
}
}
Ensure that {{user_id}} matches the exact attribute name in your session context. If user_id is numeric in your database schema, change "type": "STRING" to "type": "INTEGER" to avoid type coercion failures that often manifest as null results. This approach aligns with how I handle bulk data validation in my Python automation scripts for Genesys Cloud org management, where strict type enforcement prevents downstream API failures.