Joining `INT` to `TEXT` or differently formatted keys can block index use and create hidden bugs.
Section: Common pitfalls
Mismatched data types hurt join quality
text
text
Ensure both sides use compatible types and semantics for the join key.Explanation
Normalize data types in schema design whenever possible.
Learn the surrounding workflow
Compare similar commands or jump into common fixes when this command is part of a bigger troubleshooting path.
Related commands
Same sheet · prioritizing Common pitfalls
Missing or incomplete ON clause
A bad join predicate can explode row counts.
WHERE on the right side can break a LEFT JOIN
Filtering after the join can remove rows you meant to preserve.
One-to-many joins can duplicate facts
Totals can be wrong when a base row joins to many detail rows.