Memory allocations, consumption of system resource, execution plan
queries, monitoring and reviewing all of it becomes a part of tuning for any
and every MySQL database expert.
Listed below are ten tips that will certainly help approach tuning in a more
sorted way.
1. Identifying the workload profile: In case
the server lingers for long while execution, it’s better to identify the
particular queries that cost the longest time.Grouping the similar queries that
are being executed and returning a sorted list of tasks along with the
respective response times is basically what the profiling tools do. Thereby,
making it easier to slim down on the time-consuming queries.
2. Fundamental resources: Network,
disk, CPU, and memory are the resources that need to be taken care of for a dB
server to perform optimally. While monitoring the troubleshooting issues, it’s
important to find out if the resources are overloaded or if there is any lag.
Another important part pertains to the choice of hardware components, wherein
speed and memory both have to be taken care of.
3. Observe and filter results: Observing
the desired results in order to find out ways to acquire it that are cheaper on
the resources is a good tuning practice. The imprecise work on a given dataset
leaves you with a subset for the precise work. Therefore, try finding ways tolessenintensive
resource utilization.
4. Queries using limit/offset: For huge
datasets, queries using ‘offset’ and ‘limit’ can work up the server initially.
Instead, it’s better to select another row more than is needed, so that the
final row can be made to link the beginning of the next dataset to be
fetched.
5. Avoid queues: In certain
cases, the status of resources is so set that somehow there’s a queue of
processes created. Queues take a toll on the speed since processes are
serialized instead of being executed in parallel. Avoiding queues helps in MySQL performance improvement.
6. Scalability traps: Crosstalk
and serialization cause tremendous lag. Those parallel processes that have a
dependency on one another end up limiting the scalability. Also, if a
parallelprocess has to halt for another priority serial process, again the
process itself engenders scalability issues.
7. Monitoring and alerting: Preferably
metrics should be captured as much as possible for future reference. The
thresholds like buffer hit ratios vary for each server and workload, so fixing
a standard for the alert is not much preferable. The alert issue is an edgy one
and it has to be dealt with incisively.
8. Less focus on configuration: While the
tuning tools can’t serve the requirements of some specific cases, getting more
into the configuration may also be in vain at certain times. Fixing the
fundamental resource allocation and addressing the memory and disk issues, are
at times all you need.
9. Indexing has to be right:Proper
indexing helps find adjacent rows grouped together. Also, indexing helps reduce
sorting time by helping the server read rows in the required order. The feature
of covering index is another good tuning practice.
1. Peer reviews: This
one’s a remedy for anything you get stuck in. With proper MySQL-related
resources’ network, certain issues can be well addressed.
Due to the huge data under consideration, the innumerable lag
issues and SQL bottlenecks, the need to improve system performance and
optimizing resource utilization has become inevitable. This,in turn,renders a
smoother end-user experience.
