redis index

", "333 ");$ Redis-> rpush ("test", "444 ");Var_dump ($ redis-> lsize ("test"); // Result: int (4)?> 14, lget Description: return the elements specified by the specified key stored in the list. 0: The first element, 1: The second... -1: The last element,-2's penultimate... If the wrong index or key does not point to the list, FALSE is returned.Parameter: key in

falseExample:$redis = new Redis ();$redis->connect (' 127.0.0.1 ', 6379);$redis->delete (' Test ');$redis->lpush ("Test", "111");$redis->lpush ("Test", "222");$redis->rpush ("Test", "3

("Test", "111");$redis->lpush ("Test", "222");$redis->rpush ("Test", "333");$redis->rpush ("Test", "444");Var_dump ($redis->lpop ("test")); Result: String (3) "222"?> 13,lsize,llen Description: Returns the length of the list. If the list does not exist or is empty, the command returns 0. If the key is not a list, the

value: the array length is returned successfully. If the returned value is falseExample:$ Redis = new redis ();$ Redis-> connect ('2017. 0.0.1 ', 127 );$ Redis-> delete ('test ');$ Redis-> lpush ("test", "111 ");$ Redis-> lpush (

_ Id Index An index is automatically created for the _ id field for all sets except the set of capacity. This is a special index and cannot be deleted. The _ id index forces that its keywords are unique (except for some scenarios in the partition environment ). The _ id value remains unchanged.

** table; // hash table size: unsigned long size; // hash table size mask, used to calculate the index value: unsigned long sizemask; // number of existing nodes in the hash table: unsigned long used ;} The structure of an empty dictionary is as follows: We can see that there is a pointer to the dictEntry array in the structure, and the space we use to store data is both dictEntry4.2.2 hash table node (dictEntry) DictEntry structure definition: Typ

Tags: mysql normal index unique index primary index foreign key index1. General Index The only task for a normal index (an index defined by the keyword key or index) is to speed up acce

: 0Instantaneous_ops_per_sec: 0Rejected_connections: 0Sync_full: 0Sync_partial_ OK: 0Sync_partial_err: 0Expired_keys: 0Evicted_keys: 0Keyspace_hits: 0Keyspace_misses: 0Pubsub_channels: 0Pubsub_patterns: 0Latest_fork_usec: 0 # ReplicationRole: masterConnected_slaves: 0Master_repl_offset: 0Repl_backlog_active: 0Repl_backlog_size: 1048576Repl_backlog_first_byte_offset: 0Repl_backlog_histlen: 0 # CPUUsed_cpu_sys: 0.00Used_cpu_user: 0.00Used_cpu_sys_children: 0.00Used_cpu_user_children: 0.00 # Key

Label:MySQL Index concept:Say the MySQL index, see a few example: index is like a book directory, it will let you find content faster, obviously the directory (index) is not the more the better, if the book 1000 pages, 500 is also the directory, it is of course inefficient, the directory is to occupy the paper, and the

number, return True, repeat return false $redis->zadd (' zset1′,1, ' ab '); $redis->zadd (' zset1′,2, ' CD '); $redis->zadd (' zset1′,3, ' ef '); Zincrby the increment or decrease of the index value of the specified element, changing the order of elements $redis->zincrby (

200 Redis instances on a server, and it crashes. The only way to do this is to make different types of data belong to different applications and separate from each other.So, is there a way for Redis to keep different application data separate from each other and stored on the same instance? is equivalent to the MySQL database, different application data is stored under different databases.Under

Redis hset command sets the value of the fields field in the hash table key to values. The Redis hsetnx command sets the value of the hash table field only if the field fields do not exist. The Redis hvals command gets all the values in the hash table redis List command command description