Percona
MAY 1, 2023
Connection pooling: Minimizing connection overhead and improving response times for frequently accessed data by implementing mechanisms for connection pooling and caching strategies. The PostgreSQL buffer is called shared_buffer, which is the most effective tunable parameter for most operating systems.
Randon ASCII
SEPTEMBER 8, 2019
The fact that this shows up as CPU time suggests that the reads were all hitting in the system cache and the CPU time was the kernel overhead (note ntoskrnl.exe on the first sampled call stack) of grabbing data from the cache. Remember that these are calls to the operating system – kernel calls.
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Percona
AUGUST 31, 2018
The PostgreSQL buffer is called shared_buffer which is the most effective tunable parameter for most operating systems. This parameter sets how much dedicated memory will be used by PostgreSQL for cache. It’s low because certain machines and operating systems do not support higher values. wal_buffers.
Smashing Magazine
JANUARY 15, 2019
For the more adventurous/technical, the top (table of processes) command provides similar metrics on most Unix-like operating systems such as macOS and Ubuntu. I, for one, have typically added Google Analytics to every site I manage as a matter of course. A particular favorite in the WordPress space is WP Super Cache.
Percona
JUNE 4, 2023
It supports multiple operating systems and platforms, making it an ideal choice for various applications. Cross-platform compatibility makes MySQL compatible with various operating systems, including Linux, Windows, macOS, and more. What is MySQL? MariaDB Server includes many storage engines beyond the default InnoDB.
Percona
APRIL 24, 2023
The more indexes, the more the requirement of memory for effective caching. If we don’t increase the available memory, this starts hurting the entire performance of the system. Indexes need more cache than tables Due to random writes and reads, indexes need more pages to be in the cache.
Percona
MARCH 23, 2023
These guidelines work well for a wide range of applications, though the optimal settings, of course, depend on the workload. By caching hot datasets, indexes, and ongoing changes, InnoDB can provide faster response times and utilize disk IO in a much more optimal way. have been released since then with some major changes.
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