Why is the mysql source command importing data faster than the visualization tool executing the sql file?

In general, using MySQL sourcecommands to import data is faster than using visual tools to execute SQL files. This is because different execution methods and optimization strategies are involved.

1. Batch execution vs. one-by-one execution : sourceThe command will execute the entire SQL file as a batch, while visualization tools often read and execute SQL statements one by one. Batch execution can reduce communication overhead, reduce the transmission time and execution overhead of each SQL statement, thereby increasing the import speed.

2. Transaction management : sourceCommands usually wrap the entire SQL file in a transaction, which reduces the submission overhead of each SQL statement. Batch submission of transactions can improve efficiency when importing large amounts of data. When the visualization tool executes the SQL file, it may automatically submit each statement as a separate transaction, adding additional transaction management overhead.

3. Indexes and constraints : When using sourcecommands to import data, you can disable indexes and constraints before importing and enable them after the import is complete. This can reduce the index maintenance and constraint checking overhead during data import and improve the import speed. Visualization tools may not be able to automatically disable and enable indexes and constraints, resulting in the need for additional index and constraint checks when importing data, slowing down the import speed.

It should be noted that the specific import speed is also affected by many factors, such as machine performance, network delay, complexity of SQL statements, etc. In practice, there may be situations where the visualization tool executes the SQL file faster in certain circumstances, depending on the specific environment and the characteristics of the import operation.