1. Upload the Redis package and use the tar -zxvf command to decompress it
2. In the decompressed package, execute the make command to compile
3. Execute the make install command; make install PREFIX=/usr/local/redis (there is no configure file after Redis is decompressed, you can specify the installation directory in this step; the premise is to add the folder mkdir /usr/local/redis first)
4. Modify the configuration
>1. Copy the configuration file: In the installation directory, see the conf folder in the directory at the same level as bin, and use the cp command to unzip it. Copy the redis.conf file in the Redis directory to the newly created conf directory
>2. Modify the redis,conf file
a. Port:
Default port: 6379
b.timeout:
How long to close the connection after the client is idle; if specified as 0 , indicating that the function is turned off, that is, the connection is not closed
c. Background startup:
The default is not background startup: daemonize no
Yes Modify to background startup (after entering the startup command, you can continue to operate in the current command window, otherwise it will be blocked, that is, the terminal is occupied, and you can only open a new window to continue the operation), that is, configure it as a daemon process: daemonize yes
d. Snapshot name:
The default is dump.rdb. It is recommended to name prod.rdb with the port number. It is easy to distinguish when there are multiple instances: dbfilename dump.rdb
The default is appendonly.aof. It is recommended to name prod.aof with the port number. It is easy to distinguish when there are multiple instances: appendfilename "appendonly.aof"
e. Snapshot file storage path:
The default is dir ./; that is, the directory where redis is started; specify the directory location of the rdb/AOF file, which can only be a folder and not a file
f. Maximum number of connections:
The default is 10000; the 10000 below is commented, but the default is also 10000
g. Maximum memory usage:
The default is commented # maxmemory
h.bind:
can bind the ip that allows access (bind is bound to the local redis and can accept access IP), as follows:
# bind 192.168.1.100 10.0.0.1
# bind 127.0.0.1 ::1
If you want to allow all hosts to access (local and remote (if it is cloud Server, configure the intranet IP)), comment all bind
Default: bind 127.0.0.1, indicating that only the local machine is allowed to access
i. Protection Mode:
The default is on: protected-mode yes
Close protected-mode mode, external network can directly access
To enable protected-mode mode, bind IP needs to be configured Or set an access password; if you do not bind the IP and set the password, you can only access it locally, and no other IP access is allowed
j. Set the redis password:
Default is: # requirepass foobared, can be changed to 123456
Start using the specified configuration file: ./redis-server ../conf/6379.conf &
6. Log in:
Connect to the client./redis-cli, the default port number does not need to be specified, -p port, -h host
After entering the client: command: auth 123456 (you set Password)
7. Add environment variables:
vim /etc/profile
# redis
export REDIS_HOME=/ usr/local/redis
export PATH=$REDIS_HOME/bin:$PATH
source /etc/profile
The above is the detailed content of How to build and install Redis in centOS7 environment. For more information, please follow other related articles on the PHP Chinese website!

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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.

Redis is a powerful database solution because it provides fast performance, rich data structures, high availability and scalability, persistence capabilities, and a wide range of ecosystem support. 1) Extremely fast performance: Redis's data is stored in memory and has extremely fast read and write speeds, suitable for high concurrency and low latency applications. 2) Rich data structure: supports multiple data types, such as lists, collections, etc., which are suitable for a variety of scenarios. 3) High availability and scalability: supports master-slave replication and cluster mode to achieve high availability and horizontal scalability. 4) Persistence and data security: Data persistence is achieved through RDB and AOF to ensure data integrity and reliability. 5) Wide ecosystem and community support: with a huge ecosystem and active community,

Key features of Redis include speed, flexibility and rich data structure support. 1) Speed: Redis is an in-memory database, and read and write operations are almost instantaneous, suitable for cache and session management. 2) Flexibility: Supports multiple data structures, such as strings, lists, collections, etc., which are suitable for complex data processing. 3) Data structure support: provides strings, lists, collections, hash tables, etc., which are suitable for different business needs.

The core function of Redis is a high-performance in-memory data storage and processing system. 1) High-speed data access: Redis stores data in memory and provides microsecond-level read and write speed. 2) Rich data structure: supports strings, lists, collections, etc., and adapts to a variety of application scenarios. 3) Persistence: Persist data to disk through RDB and AOF. 4) Publish subscription: Can be used in message queues or real-time communication systems.

Redis supports a variety of data structures, including: 1. String, suitable for storing single-value data; 2. List, suitable for queues and stacks; 3. Set, used for storing non-duplicate data; 4. Ordered Set, suitable for ranking lists and priority queues; 5. Hash table, suitable for storing object or structured data.

Redis counter is a mechanism that uses Redis key-value pair storage to implement counting operations, including the following steps: creating counter keys, increasing counts, decreasing counts, resetting counts, and obtaining counts. The advantages of Redis counters include fast speed, high concurrency, durability and simplicity and ease of use. It can be used in scenarios such as user access counting, real-time metric tracking, game scores and rankings, and order processing counting.


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