How to fix the following error when editing a electronic bank payments payment file format: SSS_INVALID_SRCH_COL An nlobjSearchColumn contains an invalid column, or is not in proper syntax: custentity_sip_name.

AI generated answer (using internal Slack threads):

The error

SSS_INVALID_SRCH_COL An nlobjSearchColumn contains an invalid column, or is not in proper syntax: custentity_sip_name

typically occurs when you are trying to access a field that does not exist, or the field id is not correctly spelled or formatted in your SuiteScript code. Here are some steps to troubleshoot and fix this issue: 1. Check the Field ID: Make sure that the field id

custentity_sip_name

is correct. You can verify this by going to the record type where this field is supposed to exist and checking the field id. Remember, field ids are case sensitive. 2. Check the Record Type: Ensure that the field

custentity_sip_name

exists on the record type you are searching. If you are trying to access this field from a different record type, you will get this error. 3. Check the Syntax: Make sure that the syntax of your search column is correct. If you are using

nlapiSearchRecord

, the syntax should be something like this:

javascript
var filters = [];
var columns = [];
columns.push(new nlobjSearchColumn('custentity_sip_name'));
var results = nlapiSearchRecord('customer', null, filters, columns);

If you are using

nlapiLookupField

, the syntax should be:

javascript
var fieldValue = nlapiLookupField('customer', customerId, 'custentity_sip_name');

Replace

'customer'

and

customerId

with your actual record type and record id. 4. Check for Deleted Fields: If the field was recently deleted from the record, make sure that it is not being referenced in your script. You might need to update your script or any related scripts to remove references to this field. 5. Check for Customizations: If the field is part of a customization, make sure that the customization is correctly deployed and the field is accessible. Remember to always test your code in a sandbox environment before deploying to production. ****** Disclaimer: This response was generated by an artificial intelligence assistant based on previous conversations from multiple Slack channels, and may contain inaccuracies or mistakes. ******