How to query item data in a NetSuite Custom Conten...
# ask-stanley-ai
j
How to query item data in a NetSuite Custom Content Type?
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AI generated answer (using internal Slack threads):
To query item data in a NetSuite Custom Content Type, you can use SuiteQL or SuiteScript's search module. However, it's important to note that SuiteQL does not support image fields, so you may need to use a different method for retrieving images. Here's a general approach to querying custom fields for each inventory item: 1. Identify the custom fields: You can use the NetSuite fields browser plugin to identify the custom fields you need. These fields should be part of the item table. 2. Create a search or query: You can use SuiteScript's
search.create
method or SuiteQL to create a search or query that includes the custom fields. For example, in SuiteScript, you might use
search.create({type: search.Type.INVENTORY_ITEM…})
. In SuiteQL, you might use a query like
SELECT * FROM item
. 3. Process the results: You can process the results in SuiteScript using standard JavaScript methods. For example, you might iterate over the result arrays and compose a new synthesized object. Here's a sample SuiteScript code snippet for creating a search:
Copy code
javascript
var mySearch = search.create({
   type: search.Type.INVENTORY_ITEM,
   columns: ['internalid', 'custitem_my_custom_field']
});

mySearch.run().each(function(result) {
   var itemId = result.getValue({name: 'internalid'});
   var customFieldValue = result.getValue({name: 'custitem_my_custom_field'});
   // Process the item ID and custom field value...
   return true; // Continue processing additional results
});
In this example, replace
'custitem_my_custom_field'
with the ID of your custom field. Remember, if you're dealing with image fields, you might need to ask your client to host images elsewhere and store the image paths in NetSuite. ****** 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: 0.852269828
Slack thread 2: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.848434
Slack thread 3: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.840985775
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