Here is a short reference of some powerful queries you now have at your fingertips.
|Change the data type for different values stored in your database. Airtable Formulas and Lookup Values can be numbers, strings, dates or timestamps. So we store the values as |
|Change the data type from |
|Airtable fields that can contain multiple items (like multi-select, attachments, and lookup) will be stored as arrays in your database. Postgres uses a base-1 index here.|
To play along with these example, you can setup a Sequin database connected to the Airtable Inventory Tracker template.
Airtable Formulas and Lookup Values can be numbers, strings, dates, or timestamps. So these fields are stored in your Postgres database as
`text` columns, respectively.
Let's say you want to calculate your total revenue using SQL. Yo do so, you'll sum up the
`total_price` for all the purchase orders. Since total price is a formula in Airtable, we record it as type
`text` in your Sequin database. So to calculate your total revenue, you'll need to cast the
`total_price` as an integer:
SELECT sum(purchase_orders.total_price::int) from purchase_orders;
`::` casts the
`total_price` column to an integer to then calculate the sum.
Answer: Total revenue is \$17,280.
A JOIN will let you use your Airtable data in new ways.
For example, let's say you want to use your warehouse space better. It would be helpful to see how many products are on each shelf in your warehouse.
To do so, you can
`warehouse_locations` table with the
`product_inventory` table and calculate the total inventory of all the products on each specific shelf:
SELECTwarehouse_locations.name,SUM((product_inventory.units_ordered::INTEGER) - (product_inventory.units_sold::INTEGER)) AS "Inventory"FROM warehouse_locations JOIN product_inventoryON product_inventory.id = ANY (warehouse_locations.product_inventory)GROUP BY warehouse_locations.nameORDER BY warehouse_locations.name ASC;
Note the use of
`ANY`. When performing the
`JOIN`, there are many products associated with each warehouse location. These values are stored in an array. With
`ANY`, you can
`JOIN` on each value in the array.
Answer: The results are clear: shelf 3 is doing all the work :)
You'd like to send your design team all your product images scattered across your product inventory and your purchase orders.
To do so, you need to do a
`UNION` of the
`product_inventory` table and the
SELECT product_inventory.images FROM product_inventoryUNIONSELECT purchase_orders.image FROM purchase_orders;
Answer: Your list of 42 images is ready in 70ms. (Now imagine getting that answer in Airtable...)
Hopefully this cheat sheet of PostgreSQL helps you unlock your data. If not, search on Google - SQL is very well documented - or send us a note in Intercom ↙