Goal: ensure that paginated queries on large tables remain performant by preventing the OFFSET value from growing so large that the database must scan and skip excessive rows. Constraint: the exact threshold at which OFFSET‑based pagination becomes costly depends on table size, indexing, and acceptable latency, which may vary across workloads. What maximum OFFSET value should be enforced to keep query latency below a target threshold for a given table size and indexed primary key? Should this limit be a static row count or a dynamic fraction (e.g., 5 % of total rows) that adapts as the table grows? How can users configure SQLite.jl to automatically reject or rewrite queries that exceed the chosen OFFSET limit without manually editing the SQL string?

SQLite.jl OFFSET limit configuration

SQLite.jl pagination: configuring a maximum OFFSET threshold

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Goal: ensure that paginated queries on large tables remain performant by preventing the OFFSET value from growing so large that the database must scan and skip excessive rows.

Constraint: the exact threshold at which OFFSET‑based pagination becomes costly depends on table size, indexing, and acceptable latency, which may vary across workloads.

What maximum OFFSET value should be enforced to keep query latency below a target threshold for a given table size and indexed primary key?
Should this limit be a static row count or a dynamic fraction (e.g., 5 % of total rows) that adapts as the table grows?
How can users configure SQLite.jl to automatically reject or rewrite queries that exceed the chosen OFFSET limit without manually editing the SQL string?

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SQLite.jl pagination: configuring a maximum OFFSET threshold

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