Is the SQL WHERE clause short-circuit evaluated?
⚡TLDR
No, the SQL WHERE clause does not guarantee short-circuiting. The order of expression evaluation in SQL is subject to the database's query optimizer, making the behavior unpredictable. For example:
Despite the FALSE condition appearing first, costly_function() could still be executed due to SQL's preference for efficiency over standard short-circuit logic. To protect your queries, design them without relying on short-circuit behavior.
The ins and outs of SQL short-circuiting
Optimizer’s verdict
- SQL optimizers focus on crafting the most efficient plan for query execution, which might involve reshuffling WHERE clause conditions.
 - It's key to understand - strategies can be distinct among various databases and even between queries in the same database.
 
Presumption of precedence
- Precedence in SQL expressions isn't fixed to be left to right; parentheses and formatting don't control this.
 - DBMSs are at liberty to determine the evaluation sequence, possibly leveraging indexes or other performance enhancements.
 
Advantages of CASE
- The 
CASEexpression allows you to define an assured sequence for evaluation, when you absolutely need short-circuit logic. - With 
CASE, there's a semblance of order in the chaos - it ensures conditions are examined in the order you specified. 
Cross-database compatibility
- Writing agnostic queries that don't rely on potential short-circuiting yields more consistent behavior across multiple databases.
 - Knowing that databases have different optimization strategies is important for writing robust, portable code.
 
Query optimization alchemy
- Depending on the query plan, an optimizer might pivot the execution path, overlooking the anticipated short-circuit logic.
 - Even with different inputs, parameterized queries may reuse execution plans, undeterred by the differing potential short-circuiting outcomes.
 
The deceit of short-circuiting
- Logic would suggest early termination, but the optimizer may prefer another path, seeming less efficient but potentially more so.
 - Testing is your friend, especially when you consider the same query may behave differently when dealing with larger, production-scale databases.
 
Influential factors in optimization
- Workload and data spread can significantly influence the optimizer's decisions.
 - The existence of indexes, your use of statistics, and the sheer size of your tables could impact evaluation order.
 
Best practices for reliable results
- Rather than banking on short-circuit evaluation, focus on clear queries, proper indexing, and meaningful optimizer hints.
 - Understanding that consistency and predictability are more important than highly variable performance gains from a potentially unreliable short-circuit mechanism.
 
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