How to convert a saved search into a SuiteQL query
# ask-stanley-ai
j
How to convert a saved search into a SuiteQL query
c
AI generated answer (using internal Slack threads):
****** Disclaimer: This response was generated by an artificial intelligence assistant based on previous conversations from multiple Slack channels, and may contain inaccuracies or mistakes. ****** Converting a saved search into a SuiteQL query is not a straightforward process and there isn't a built-in feature or tool in NetSuite that can do this automatically. However, you can manually convert a saved search into a SuiteQL query by understanding the structure of the saved search and then writing a corresponding SuiteQL query. Here are the steps you can follow: 1. Identify the main record type of the saved search. This will be the main table in your SuiteQL query. 2. Identify the fields that are being returned in the saved search. These will be the columns in your SuiteQL query. 3. Identify the filters that are being applied in the saved search. These will be the WHERE conditions in your SuiteQL query. 4. Identify the sort order in the saved search. This will be the ORDER BY clause in your SuiteQL query. Please note that not all features of saved searches can be replicated in SuiteQL. For example, summary type saved searches, formula fields, or highlighting rules cannot be replicated in SuiteQL. Also, there is a Chrome extension called 'NetSuite: Saved Search and SuiteQL Exporter' that can help you export a saved search as SuiteScript, which might be helpful in some cases. Remember, SuiteQL is a powerful tool but it also requires a good understanding of SQL and the NetSuite data model. Always test your queries thoroughly before using them in a production environment.
Slack thread 1: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.873850465
Slack thread 2: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.865390301
Slack thread 3: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.847546458
Please provide your feedback on this answer.