Redis comes with Debug method
You can study the debug command provided by redis by yourself, which involves simulating redis abnormal scenarios such as oom, downtime, command execution failure, and redis reloading rdb files and aof files. It takes time to simulate the redis command, etc. We can check the details through DEBUG help
, as shown below
What needs to be used here is debug populate
command, use the following
#### 后面数量代表创建多少个键值 127.0.0.1:6379> DEBUG POPULATE 1000 OK 127.0.0.1:6379> DBSIZE (integer) 1000 127.0.0.1:6379> 127.0.0.1:6379> info memory # Memory used_memory:974368 used_memory_human:951.53K used_memory_rss:5234688 used_memory_rss_human:4.99M ### 查看生成键值(生成时没有指定默认以key做为前缀) 127.0.0.1:6379> keys * 1) "key:32201" 2) "key:59146" 3) "key:10551" ...... 127.0.0.1:6379> get key:796 "value:796"
Shell script
Before using the shell script, we need to know that even without entering the Redis command line, you can still insert into Redis in the following way Data
### 如果使用默认端口可以直接采用以下命令,如果不是默认端口或默认ip,需要重新指定如下 ### redis-cli -c -h 127.0.0.1 -p 7000 [root@zzf993 bin]# ./redis-cli set name zhangsan OK ### 到redis中查看 127.0.0.1:6379> keys * 1) "name" 127.0.0.1:6379> 127.0.0.1:6379> get name "zhangsan"
With the above knowledge, it is easy for us to create data. We can solve the problem by using a shell script loop
Create 1000 key values in batches
#!/bin/bash ### 需要转到redis-cli的目录 cd /opt/redis/redis-6.0.6/bin/ for i in {1..10000} do echo "key${i} ${i}" ### 如果采用默认端口而且在本机可以这样做,不是默认端口或者本机需要指定 ### redis-cli -c -h 127.0.0.1 -p 7000 redis-cli set key${i} ${i} done
Create a bigkey test data
#!/bin/bash ### 需要转到redis-cli的目录 cd /opt/redis/redis-6.0.6/bin/ for i in {1..10000} do echo "key${i} ${i}" redis-cli hset obj key${i} ${i} done
You need to pay attention when using shell scripts. You need to ensure that the current user has executable permissions. If not, you can directly grant all permissions as shown below
The above is the detailed content of How to use Redis to generate data in batches. For more information, please follow other related articles on the PHP Chinese website!

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.

Use the Redis command line tool (redis-cli) to manage and operate Redis through the following steps: Connect to the server, specify the address and port. Send commands to the server using the command name and parameters. Use the HELP command to view help information for a specific command. Use the QUIT command to exit the command line tool.


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