The full name of redis is REmote DIctionary Server. It is a high-performance key-value storage system written by Salvatore Sanfilippo. It is completely open source and free and complies with the BSD protocol. Redis has the following characteristics with other key-value caching products (such as memcache).
Redis supports data persistence. It can save the data in the memory to the disk and load it again for use when restarting.
Redis not only supports simple key-value type data, but also provides storage of data structures such as list, set, zset, and hash.
Redis supports data backup, that is, data backup in master-slave mode.
Redis has extremely high performance and rich data types. At the same time, all operations of Redis are atomic, and it also supports atomic execution after merging several operations. . In addition, Redis has rich extension features, which supports publish/subscribe, notifications, key expiration and other features.
What’s even better about Redis is that its code style is extremely streamlined. The entire source code is only 23,000 lines, which is very conducive to reading and appreciation! what are you waiting for? Start!
How to obtain the Redis source code?
redis is completely open source, and its source code can be obtained directly from the official website (the latest version currently is 3.2.5).
Git acquisition:
Source code acquisition git clone https://github.com/antirez/redis.git
linux end
cd ... // 这里打开你存放redis的文件夹 wget http://download.redis.io/releases/redis-3.2.5.tar.gz tar zxvf redis-3.2.5.tar.gz
At this point, enter the src folder in the decompressed redis directory, where all the source code of redis is stored.
[root@VM_123_20_centos redis-3.2.5]# cd src/ [root@VM_123_20_centos src]# ls Makefile crc64.h mkreleasehdr.sh redis-cli.o sort.o Makefile.dep crc64.o multi.c redis-sentinel sparkline.c adlist.c db.c multi.o redis-server sparkline.h adlist.h db.o networking.c redis-trib.rb sparkline.o adlist.o debug.c networking.o redisassert.h syncio.c ae.c debug.o notify.c release.c syncio.o ae.h debugmacro.h notify.o release.h t_hash.c ae.o dict.c object.c release.o t_hash.o ae_epoll.c dict.h object.o replication.c t_list.c ae_evport.c dict.o pqsort.c replication.o t_list.o ae_kqueue.c endianconv.c pqsort.h rio.c t_set.c ae_select.c endianconv.h pqsort.o rio.h t_set.o anet.c endianconv.o pubsub.c rio.o t_string.c anet.h fmacros.h pubsub.o scripting.c t_string.o anet.o geo.c quicklist.c scripting.o t_zset.c aof.c geo.h quicklist.h sds.c t_zset.o aof.o geo.o quicklist.o sds.h testhelp.h asciilogo.h help.h rand.c sds.o util.c bio.c hyperloglog.c rand.h sdsalloc.h util.h bio.h hyperloglog.o rand.o sentinel.c util.o bio.o intset.c rdb.c sentinel.o valgrind.sup bitops.c intset.h rdb.h server.c version.h bitops.o intset.o rdb.o server.h ziplist.c blocked.c latency.c redis-benchmark server.o ziplist.h blocked.o latency.h redis-benchmark.c setproctitle.c ziplist.o cluster.c latency.o redis-benchmark.o setproctitle.o zipmap.c cluster.h lzf.h redis-check-aof sha1.c zipmap.h cluster.o lzfP.h redis-check-aof.c sha1.h zipmap.o config.c lzf_c.c redis-check-aof.o sha1.o zmalloc.c config.h lzf_c.o redis-check-rdb slowlog.c zmalloc.h config.o lzf_d.c redis-check-rdb.c slowlog.h zmalloc.o crc16.c lzf_d.o redis-check-rdb.o slowlog.o crc16.o memtest.c redis-cli solarisfixes.h crc64.c memtest.o redis-cli.c sort.c
The above is the detailed content of How many lines of redis source code. For more information, please follow other related articles on the PHP Chinese website!

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.

Redis cluster mode deploys Redis instances to multiple servers through sharding, improving scalability and availability. The construction steps are as follows: Create odd Redis instances with different ports; Create 3 sentinel instances, monitor Redis instances and failover; configure sentinel configuration files, add monitoring Redis instance information and failover settings; configure Redis instance configuration files, enable cluster mode and specify the cluster information file path; create nodes.conf file, containing information of each Redis instance; start the cluster, execute the create command to create a cluster and specify the number of replicas; log in to the cluster to execute the CLUSTER INFO command to verify the cluster status; make

To read a queue from Redis, you need to get the queue name, read the elements using the LPOP command, and process the empty queue. The specific steps are as follows: Get the queue name: name it with the prefix of "queue:" such as "queue:my-queue". Use the LPOP command: Eject the element from the head of the queue and return its value, such as LPOP queue:my-queue. Processing empty queues: If the queue is empty, LPOP returns nil, and you can check whether the queue exists before reading the element.

Use of zset in Redis cluster: zset is an ordered collection that associates elements with scores. Sharding strategy: a. Hash sharding: Distribute the hash value according to the zset key. b. Range sharding: divide into ranges according to element scores, and assign each range to different nodes. Read and write operations: a. Read operations: If the zset key belongs to the shard of the current node, it will be processed locally; otherwise, it will be routed to the corresponding shard. b. Write operation: Always routed to shards holding the zset key.


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