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Create models with the SQL editor

With the SQL editor modeling method, you can write a SQL query to define your model. The SQL editor can execute whatever SQL is native to your warehouse or database.

Your query depends on the data in your model. For example, if you are using the Sample B2B SaaS Source, you can use the following query to select the entire public.users table:

SELECT * FROM public.users

Before you can continue, you must click Preview to see a preview of the data. By default, Hightouch limits the preview to the first 100 rows. Once you've confirmed that the preview contains the data you expect, click Continue.

Model preview using the SQL editor

You can't save a model if your query doesn't return any results. If you need to save a model with such a query because you expect there to be results in the future, see the save a model without results section.

The last step for model setup is to enter a descriptive Name and select the column to use as a Primary key. You can optionally select a folder to move the model to.

Setting a model Name and Primary key in the Hightouch UI

Click Finish to complete your model setup.

Unique primary key requirement

All models require a unique primary key. If your dataset doesn't inherently include any truly unique columns, you can use SQL to either:

  • filter out duplicate rows, if you're not concerned about losing data from one or more of the duplicated rows
  • create a composite column to use for your primary key

If you select a different column to use for a model's primary key, you need to trigger a full resync for all syncs that use that model. Otherwise, change data capture won't work correctly and the data in your destination may be incorrect.

You don't need to trigger a full resync if you change the primary key column's data type.

Filter out duplicates

When you write a SELECT statement to define your model, you can use a GROUP BY clause to retrieve only the unique rows based on the column you want to use for your primary key:

FROM users
GROUP BY primary_key_column

This query returns only one row for each unique primary_key_column value, while ignoring the duplicates.

This query returns one row for each primary_key_column value, so if there are multiple rows with the same primary_key_column value, only one of them will be returned. If you want your model's query results to return every row in your dataset, it's better to create a composite primary key.

Composite primary keys

If your dataset doesn't inherently include a truly unique primary key, you can create one. For example, in a CRM, you may have users that are identified by email, but belong to multiple organizations:


The user belongs to both org_id:1 and org_id:3. Their email address is unique within each organization but non-unique across organizations. Therefore, if you were to select email as the primary key, downstream destinations receiving the data would likely reject these rows.

To ensure a sync with this type of data includes all records, you can use a hash function for the model's primary key. The hash should combine enough columns in the data to create a unique value, for example, org_id and email.

SELECT org_id,
       HASH(CONCAT(org_id, '-', email)) AS composite_key
FROM users

This query selects the org_id, email, and created_at columns, and creates a composite_key column. The composite_key column contains a hash of the concatenation of org_id and email, creating a unique value for each row.


You would then select the composite_key column as the primary key for the model. Because the composite keys for the rows are unique, Hightouch would sync both rows to the destination.

Save a model without results

You can't save a model if your query doesn't return any results. If you need to save a model with such a query because you expect there to be results in the future, add the following SQL to the end of your query:

select 'ignore', 'ignore', 'ignore'

This SQL adds a row of 'ignore' values that don't match against anything in your destination but are always present so you can save the query. If your column datatype isn't a string, you can replace 'ignore' with a null value. The number of 'ignore' or null values needs to be the same as the number of columns in your model.

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Last updated: May 25, 2023

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Unique primary key requirementFilter out duplicatesComposite primary keysSave a model without results

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