There will be no singularity: “Snowflake's hidden gem - CTE macros We all like to use CTEs (Common Ta…”

Snowflake's hidden gem - CTE macros

We all like to use CTEs (Common Table Expression).
It makes our code cleaner and sometimes help to speed up queries.

But somehow, Snowflake documentation hides from us one beautiful behavior of CTE that will make your life even more convenient.

What does the documentation say?

A CTE (common table expression) is a named subquery defined in a WITH clause. You can think of the CTE as a temporary view for use in the statement that defines the CTE

In other words:
- we can only use SELECT in the CTE
- the result of the CTE is a view-like object

Surely many of you have used the CTE to define some constants that are used further in the query. For example:


WITH
  var_cte AS (
    SELECT 'Snowflake' AS vendor
  )
SELECT *
FROM t
WHERE
  vendor = (SELECT vendor FROM var_cte)

Tolerable, but not perfect. Especially scalar subqueries. Scalar subqueries are bad practice. Avoid using them!

Can this be done in a more elegant way? Yes! Look at this:


WITH
  var_cte AS ('Snowflake')
SELECT *
FROM t
WHERE
  vendor = var_cte;

Wow! The code became easier to read, and we got rid of scalar subqueries at the same time!

What if we want to use several values at once? We can make an object:


WITH
  var_cte AS ({'vendor': 'Snowflake'})
SELECT * FROM t WHERE
  vendor = var_cte:vendor;

Or here's the IN analogue:


WITH
  var_cte AS (['Snowflake', 'Bigquery'])
SELECT * FROM t WHERE
  ARRAY_CONTAINS(vendor::VARIANT, var_cte)

Although it's not so beautiful anymore…
It turns out that CTE can be not only a view-like object, but also a scalar value!

Very cool, but even this is not a final:


CREATE TABLE t AS SELECT 1 AS a, 2 AS b;

WITH
  var_cte AS (a+b)
SELECT
  var_cte
FROM t;

As a result, we will get a table with a var_cte column and a value of 3.

I.e. CTE is not only a view-like object, and not only a scalar value, but also an alias to any expression!

Here's another example:


WITH
  var_cte AS (SUM(a))
SELECT
  var_cte
FROM t;

Yes, you can use any function calls there, including aggregate function calls.

And even that works too:


WITH
  var_cte1 AS (a),
  var_cte2 AS (var_cte1+b)
SELECT
  var_cte2
FROM t;

And like a function's argument:


WITH
  var_cte AS (a + b)
SELECT
  ROUND(var_cte/2, 0)
FROM t;

Are there any downsides? Unfortunately, yes…
First of all, CTE macros refuse to work when you use them in UNION and inline FROM queries:


-- doesn't work!

WITH
  var_cte AS (a+b)
SELECT var_cte FROM t1
UNION
SELECT var_cte FROM t2
;

-- and here

WITH
  var_cte AS (a)
SELECT * FROM (
  SELECT var_cte FROM t
);

Maybe Snowflake engineers will finish this functionality and CTE macros will become possible to use everywhere.

And second, none of the data lineage tools will tell you that.

But the good news is that in dwh.dev we take CTE macros into account at compile time and display all relevant connections in lineage!

PS: I found out about it quite by accident from the last example in the documentation of the ENCRYPT_RAW function

PPS: thumbs up on linkedin