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A diagnostic guide to SQLite's 'database is locked' (SQLITE_BUSY) error: how to tell journal-mode contention from stuck transactions, and which fix — WAL, busy_timeout, or code changes — matches each cause.
Choose between WAL and rollback journal for SQLite concurrency, durability, and filesystem constraints; includes trade‑off table and validation commands.
SQLite's default journal mode serializes reads and writes, causing 'database is locked' errors under concurrency. WAL mode fixes this with one pragma — here's how it works and when to avoid it.
WAL mode lets readers and writers work at the same time, but it adds two files, a checkpoint obligation, and a new set of busy errors. Here is how to tell those apart.
A decision guide for enabling SQLite WAL mode: constraints, trade-offs between concurrency and durability, file-system requirements, and a concrete validation harness with crash-recovery testing.
Stop encountering 'Database is locked' errors in SQLite. Learn how to implement SQLite Write‑Ahead Logging (WAL) to keep your application responsive.
Restoring with the sqlite3_backup API The goal is to duplicate a live database to a new file while the source is still being modified. The sqlite3_backup_step() function allows incremental copying, which can be useful for large databases or to avoid long blocking periods. Constraints and Uncertainty When the source database operates in WAL mode, a checkpoint
Managing Concurrent Write Access When designing a high-concurrency application using SQLite in WAL mode, the system must handle SQLITE_BUSY errors to prevent transaction failure during lock contention. One approach is utilizing sqlite3_busy_timeout() to allow the library to automatically retry lock acquisition for a specified duration. An alternative is usin
Goal Correlate a backup taken via sqlite3_backup with an application-defined logical point in time (e.g., a committed transaction ID or version marker) so that restored data can be verified against that marker. Constraints and uncertainty The sqlite3_backup API initiates a read transaction on the source database and copies pages through the pager, producing
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