How do you delete address subrecords completely fr...
# ask-stanley-ai
a
How do you delete address subrecords completely from the system in bulk via script?
c
AI generated answer (using internal Slack threads):
To delete address subrecords in bulk via script, you can create a SuiteScript that loads the customer record, iterates over the addressbook sublist, and removes the lines corresponding to the addresses you want to delete. Here is a sample script:
Copy code
javascript
// Load the customer record
var customerRecord = record.load({
    type: record.Type.CUSTOMER,
    id: customerId,
    isDynamic: true
});

// Get the count of address lines
var lineCount = customerRecord.getLineCount({
    sublistId: 'addressbook'
});

// Flag to track if any changes were made
var changed = false;

// Iterate over the address lines in reverse order
for (var i = lineCount - 1; i >= 0; i--) {
    // Select the line
    customerRecord.selectLine({
        sublistId: 'addressbook',
        line: i
    });

    // Remove the line
    customerRecord.removeLine({
        sublistId: 'addressbook',
        line: i,
        ignoreRecalc: true
    });

    // Set the flag to indicate that changes were made
    changed = true;
}

// If any changes were made, save the record
if (changed) {
    customerRecord.save();
}
This script will remove all addresses from the customer record. If you want to remove specific addresses, you can add a condition inside the loop to check the address details before removing the line. ****** Disclaimer: This response was generated by an artificial intelligence assistant based on previous conversations from multiple Slack channels, and may contain inaccuracies or mistakes. ******
Slack thread 1: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.859563172
Slack thread 2: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.857912779
Slack thread 3: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.845782638
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