How can a SQLite schema represent an optional relationship?
Use a nullable foreign-key column for an absent relationship, then choose a delete action that matches what should happen to child rows.
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Use a nullable foreign-key column for an absent relationship, then choose a delete action that matches what should happen to child rows.
Choose a schema-level fallback for consistently omitted values, and learn when to supply a value in your INSERT instead—especially when NULL is intentional.
Choose a SQLite constraint that distinguishes NULL from empty text, and see how ordinary spaces affect the values your column accepts.
Choose whether deleting a parent should be blocked, remove its child rows, or detach them, with SQLite schema examples and a disposable-data checklist.
Use one table-level UNIQUE constraint on the column pair to prevent duplicate person–project assignments without forbidding other assignments.
Understand when SQLite AUTOINCREMENT prevents an old row ID from being reused, what it costs, and why it does not create gapless numbers.
Use a row-level CHECK constraint to compare two columns, test valid and invalid inserts, and handle missing values deliberately.
Use DISTINCT in a sorted SQLite subquery so tied top scores count once, then skip the highest and return the next value.
Combine current and archived rows in SQLite, choose whether duplicate result rows should disappear, and check the output with paired examples.
See how SELECT DISTINCT deduplicates the selected columns, with two SQLite queries and example results showing why adding a column changes the outcome.
Use an ordered SQLite CASE expression to turn assumed stock counts into readable availability labels in query results, without changing stored counts.
Use a SUM window function partitioned by the group key to keep every detail row and repeat its group’s total beside it.
Use LAG() within each device’s ordered series to show its prior reading and calculate the change, including NULL for the first row.
See how tied scores affect rank numbers, and use a partitioned SQLite query to compare both functions within each group.
Use ROW_NUMBER() with PARTITION BY to number rows separately in each category, and add a tie-breaker to make tied prices predictable.
Name an intermediate customer-total calculation in a CTE, then filter those totals in a separate SELECT, with a complete invented example.
Learn how a correlated scalar subquery can display a category-level price average beside each product in SQLite.
Use an aggregate subquery to calculate one comparison value, then filter individual rows against it—with a worked salary example.
Use SQLite’s trim() in a comparison to ignore spaces at the ends of a value, and see how trimmed and raw comparisons differ.
Use SQLite’s AVG and COUNT on the same column to show each group’s average and how many non-NULL values contributed.
Use SQLite’s one-based `substr()` positions to extract a fixed section, keep the rest of a value, or count a starting position from the end.
Combine name columns with SQLite’s || operator, and use an explicit NULL-aware expression to keep available names when a component is missing.
Sort valid, consistently zero-padded YYYY-MM-DD text with ORDER BY; see an example, expected output, and why mixed formats need attention.
See why SQLite can truncate a ratio of integer totals, how to make the calculation fractional, and what to check in a worked example.
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