12/7/2023 0 Comments Sqlite transaction performanceIn this case you have multiple database writes instances, put them inside a transaction. There is also another efficient way that you can use to improve the level of speed during SQLite transactions. Subsequent executions will reuse the compilation of the first one. I really recommend to use this method for a bulk transaction for at least 20K data and what can I say is very fast and efficient. To get optimal performance when inserting or updating data, ensure that you do the following: Use a transaction. There is a basic migration mechanism to handle schema changes during opening. If relative, this path is relative to the path obtained by getDatabasesPath (), which is the default database directory on Android and the documents directory on iOS/MacOS. It really makes sense to consider a bulk transaction right? Sure why not. A SQLite database is a file in the file system identified by a path. Let’s say you have 20,000 candidate records to be inserted in your database. Despite that fact that they can do it in a bulk transaction. It looks you're also opening and closing the connection each time, along with resetting the CommandText each time. ![]() Transaction to the SQLTransaction instance. There are ways to increase SQLite data insert performance in addition to using transactions. ![]() This is very expensive, since it requires reopening, writing to, and closing the journal file for each statement. If you don't, SQLite starts its own transaction for every insert command so you're effectively doing 86000 transactions as is. Next message (by thread): Lazarus RE : RE : SQLite performance problem. When it comes of handling huge amount of data, the most common things that developer always does is to store data in a single manner each SQL statement has a new transaction started for it.
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