Implemented the redis client, including a connection pool and redis pipleline
conn.go
func (c *conn) Do(cmd string, args ...interface {}) (interface{}, error){
if cmd != "" { if err := c.writeCommand(cmd, args); err != nil { return nil, c.fatal(err) } } if err := c.bw.Flush(); err != nil { return nil, c.fatal(err) } for i := 0; i <p>}<br></p><p>#The method encapsulates the three processes of a request: Send, Flush and Receive<br></p><p>1, send writes the request to the output buffer<br></p><p>2, Flush sends the buffer command to the server</p><p>3, Receive receives the response from the server</p><p>https://godoc.org/github.com/ gomodule/redigo/redis#hdr-Pipelining</p><p></p><pre class="brush:php;toolbar:false">// conn is the low-level implementation of Conn
Because redis is a text protocol, it needs to be serialized according to the redis protocol when sending, and deserialized according to the redis protocol when receiving.
The format (type) of the command sent by the client: 5 types
The interval symbol is \r\n under Linux and \n
# under Windows. ##1. Simple Strings, starting with " "plus sign Format: String\r\n String cannot contain CR or LF (line breaks are not allowed) eg: " OK\r\n" Note: In order to send binary-safe strings, it is generally recommended to use the following Bulk Strings type2. Errors, with " -"Begins with a minus sign Format: - Error prefix Error message \r\n Error message cannot contain CR or LF (line breaks are not allowed), Errors are very similar to Simple Strings, different Erros will be treated as an exception eg: "-Error unknow command 'foobar'\r\n"3. Integer type Integer, starting with ":" colonFormat:: Number \r\n eg: ":1000\r\n"4. Large string type Bulk Strings, starting with the "$" dollar sign , length limit 512MFormat: $ String length \r\n String \r\n String cannot contain CR or LF (line breaks are not allowed); eg: "$6\r\nfoobar\r\n" where the string is foobar, and 6 is the character length of foobar
"$0 \r\n\r\n" " Empty string "$-1\r\n" "$-1\r\n" null5. Array type Arrays, starting with "*" asteriskFormat: *Number of array elements \r\n All other types (no need for \r\n at the end) Note: Only the \r\n after the number of elements belongs to the array, The \r\n at the end is usually the of the element eg: "*0\r\n" Empty array "*2\r\n$2\r\nfoo\r\n $3\r\nbar\r\n" The array contains 2 elements, which are the string foo and bar "*3\r\n:1\r\n:2\r\n:3 \r\n" " The array contains 3 integers: 1, 2, 3 "*5\r\n:1\r\n:2\r\n:3\r\n:4\ r\n$6\r\nfoobar\r\n" Array containing mixed types "*-1\r\n" "Null array "*2\r\n*3 \r\n:1\r\n:2\r\n:3\r\n*2\r\n Foo\r\n-Bar\r\n" Nested arrays, the outer array contains 2 Arrays, after sorting as follows: "*2\r\n *3\r\n:1\r\n:2\r\n:3\r\n *2\r\n Foo\r\n-Bar\r\n"
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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.

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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