Data Modelling
This is the most important part of Spell building.
A Spell should be a view (ideally) or table you or others can use to do great analysis.
The benefits of building a Spell are:
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Consistency and maintainability. Forking and copying queries to remix for ad-hoc analysis is fantastic but ngmi for the long run. Imagine finding a bug in your query or something simply changing in a contract. You can update your query but everyone who forked or copy pasta’d the query won’t get the update.
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Improved clarity on metrics. There are often a few ways a metric can be calculated. If everyone builds their version, it’s difficult to determine the source of truth, and time is wasted hunting down the inconsistencies. Spells are built in a completely transparent fashion on a public GitHub repo which means the community can work to agree upon implementations.
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Simplicity and developer experience. Who wants to write the same query over and over again? Automate the boring and focus on novel analysis. DRY applies to SQL as much as it does to other programming languages.
Some signs it’s time to make a spell:
- When you have multiple queries that include the same subquery.
- You’re copying long(ish) lists of static values between queries.
- The query has been forked or copied many times.
- Your query contains complex logic that you’d like to use elsewhere or that others might benefit from.