What are the parameters of InnoDB in MySQL?
The innodb_flush_log_at_trx_commit parameter controls the balance between strict ACID compliance and higher performance; The innodb_lock_wait_timeout parameter is the length of time in seconds an InnoDB transaction waits for a row lock before giving up;
Which is the best setting for InnoDB to use?
InnoDB will use O_DIRECT to open the data files and the fsync ()function to flush both the data and the log files. In comparison with O_DSYNC, O_DIRECT is more stable and more data consistent, but slower. The OS cache will be avoided using this setting – this setting is the recommended setting on Linux machines.
What should the buffer pool size be for InnoDB?
InnoDB heavily relies on the buffer pool and as a rule of thumb, the innodb_buffer_pool_size parameter should be about 60% to 80% of the total available RAM on the server. Keep in mind that you should leave some RAM for the processes running in the OS as well;
What is the InnoDB _ data _ file _ path parameter?
The innodb_data_file_path parameter describes the system tablespace (the system tablespace is the storage area for the InnoDB data dictionary, the double write and change buffers and undo logs). The parameter depicts the file where data derived from InnoDB tables will be stored;
How big should the log buffer be in InnoDB?
The innodb_log_buffer_size value should be set to at least 16M. A large log buffer allows large transactions to run without a need to write the log to disk before the transactions commit saving some disk I/O; When tuning innodb_flush_log_at_trx_commit, keep in mind that this parameter accepts three values – 0, 1 and 2.
What kind of I / O does InnoDB use?
InnoDB will use Windows asynchronous I/O and non-buffered I/O. Default settings on Windows machines. InnoDB will use the fsync () function to flush the data and the log files.
How is the InnoDB flush method used in MySQL?
The innodb_flush_method parameter defines the method used to flush data to InnoDB data files and log files which can affect I/O throughput.