Installation
Unzip and enter the directory
tar xzf redis-4.0.12.tar.gz
、cd redis -4.0.12/
;Compile to the specified directory
make prefix=/usr/local/redis install
Create/usr/local/ redis/ect
directory, copyredis.conf
to
/usr/local/redis
The directory structure is as follows
Add redis to the system service and execute vim /usr/lib/systemd/system/redis-server.service
, The content is as follows
[unit] description=the redis-server process manager after=syslog.target network.target [service] type=simple pidfile=/var/run/redis.pid execstart=/usr/local/redis/bin/redis-server /usr/local/redis/etc/redis.conf execreload=/bin/kill -s hup $mainpid execstop=/bin/kill -s quit $mainpid [install] wantedby=multi-user.target
Start the service systemctl start redis-server
Set to start at boot systemctl enable redis-server
Test, use redis-cli
to test and see
Modify redis configuration
Modify the data saving path, create a new
/usr/local/redis/data
directory, and setdir
to this path;rdb and aof persistence
The default rdb is save 900 1 save 300 10 save 60 10000
, that is, 1 change in 900 seconds, 300 10 changes per second, 10,000 changes in 60 seconds, if any of the above conditions are met, use the default value;
aof is turned off by default, change appendonly
to yes
. There are three options for update conditions. always
means manually calling fsync() to write data to disk after each update operation (slow, safe), everysec
means synchronizing once per second (discounted) Medium, default value), no
means waiting for the operating system to synchronize the data cache to the disk (fast), just use the default value;
Both can be used at the same time , other related configurations use default values.
Modify data elimination strategy
Maximum occupied memory maxmemory
The default is commented and set to 512m. Note that the unit is bytes, so the value is 536870912 ;
redis provides a total of 6 data elimination strategies after overvaluation, which are
volatile-lru: From the data set with expiration time set, select the most recent and longest unused data to release;
allkeys-lru: From the data set (including data sets with expiration time set and data sets without expiration time set), select the most recently unused data for release;
volatile-random: Randomly select from the data set with expiration time set A piece of data is released;
allkeys-random: Randomly select a piece of data from the data set (including set expiration time and unset expiration time) for release;
volatile-ttl: From the data set with expiration time set , select the data that is about to expire for release operation;
noeviction: Do not delete any data (but redis will also release it based on the reference counter). At this time, if the memory is not enough, an error will be returned directly.
Set maxmemory-policy
here to volatile-lru
.
Other configurations remain at default values and may be modified later as needed. Remember to restart the service systemctl restart redis-server
after the modification is completed.
The above is the detailed content of How to install and configure Redis in CentOS7. For more information, please follow other related articles on the PHP Chinese website!

Redis plays a key role in data storage and management, and has become the core of modern applications through its multiple data structures and persistence mechanisms. 1) Redis supports data structures such as strings, lists, collections, ordered collections and hash tables, and is suitable for cache and complex business logic. 2) Through two persistence methods, RDB and AOF, Redis ensures reliable storage and rapid recovery of data.

Redis is a NoSQL database suitable for efficient storage and access of large-scale data. 1.Redis is an open source memory data structure storage system that supports multiple data structures. 2. It provides extremely fast read and write speeds, suitable for caching, session management, etc. 3.Redis supports persistence and ensures data security through RDB and AOF. 4. Usage examples include basic key-value pair operations and advanced collection deduplication functions. 5. Common errors include connection problems, data type mismatch and memory overflow, so you need to pay attention to debugging. 6. Performance optimization suggestions include selecting the appropriate data structure and setting up memory elimination strategies.

The applications of Redis in the real world include: 1. As a cache system, accelerate database query, 2. To store the session data of web applications, 3. To implement real-time rankings, 4. To simplify message delivery as a message queue. Redis's versatility and high performance make it shine in these scenarios.

Redis stands out because of its high speed, versatility and rich data structure. 1) Redis supports data structures such as strings, lists, collections, hashs and ordered collections. 2) It stores data through memory and supports RDB and AOF persistence. 3) Starting from Redis 6.0, multi-threaded I/O operations have been introduced, which has improved performance in high concurrency scenarios.

RedisisclassifiedasaNoSQLdatabasebecauseitusesakey-valuedatamodelinsteadofthetraditionalrelationaldatabasemodel.Itoffersspeedandflexibility,makingitidealforreal-timeapplicationsandcaching,butitmaynotbesuitableforscenariosrequiringstrictdataintegrityo

Redis improves application performance and scalability by caching data, implementing distributed locking and data persistence. 1) Cache data: Use Redis to cache frequently accessed data to improve data access speed. 2) Distributed lock: Use Redis to implement distributed locks to ensure the security of operation in a distributed environment. 3) Data persistence: Ensure data security through RDB and AOF mechanisms to prevent data loss.

Redis's data model and structure include five main types: 1. String: used to store text or binary data, and supports atomic operations. 2. List: Ordered elements collection, suitable for queues and stacks. 3. Set: Unordered unique elements set, supporting set operation. 4. Ordered Set (SortedSet): A unique set of elements with scores, suitable for rankings. 5. Hash table (Hash): a collection of key-value pairs, suitable for storing objects.

Redis's database methods include in-memory databases and key-value storage. 1) Redis stores data in memory, and reads and writes fast. 2) It uses key-value pairs to store data, supports complex data structures such as lists, collections, hash tables and ordered collections, suitable for caches and NoSQL databases.


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

MantisBT
Mantis is an easy-to-deploy web-based defect tracking tool designed to aid in product defect tracking. It requires PHP, MySQL and a web server. Check out our demo and hosting services.

Dreamweaver Mac version
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

PhpStorm Mac version
The latest (2018.2.1) professional PHP integrated development tool

WebStorm Mac version
Useful JavaScript development tools