redis sentinel命令行 redis 命令操作 Redis 命令用于在 redis 服务上执行操作。 启动redis 客户端,打开终端并输入命令 redis-cli。该命令会连接本地的 redis 服务。 String:是redis最基本的数据类型 常用SET和GET命令 SET:设置指定key的值 GET:获取指定key的值 Hash:是一个string类型
Sentinel Lua Script Compilation Specifications Compact Encoding for Small Objects Keyspace Notification ExHash Commands Large Bitmap Initialization Querying Large Bitmaps by Page Configuring Parameters for a Client Connection Pool Using Parallel SCAN to Accelerate Full Database Scanning Accessing a GeminiDB ...
os-add-csc-redis-commands hash-expiration-commands-v7.4-comments ndyakov/update-readme-discord ndyakov/fix-sentinel-error-case os-test-behvioral-changes-in-search-on-redis-8 ndyakov/fix-hash-commands ndyakov/drop-ftprofile ndyakov/test-rc1 ndyakov/issue-3282 ndyakov/sync-master-v9.8.0-beta...
To run the tests you need to have a Unix shell on your machine, or MinGW tools in your path. To execute the tests, run the following command: "tclsh8.5.exe tests/test_helper.tcl --clients N", where N is the number of parallel clients . If a Unix shell is not installed you may ...
You can call any Redis commands on it just like the Redis instance. The commands are queued in memory and flushed to Redis by calling the exec method: const pipeline = redis.pipeline(); pipeline.set("foo", "bar"); pipeline.del("cc"); pipeline.exec((err, results) => { // `err`...
修改sentinel myid 需要在防火墙开启26379、 27000、 27001三个端口。 2.3启动 启动redis主从集群,注意顺序是先master再slave src/redis-server redis-6379.conf src/redis-server redis-6380.conf src/redis-server redis-6381.conf 1. 2. 3. 启动哨兵有两种方式。
@REM JAVA_HOME - location of a JDK home dir @REM @REM Optional ENV vars @REM M2_HOME - location of maven2's installed home dir @REM MAVEN_BATCH_ECHO - set to 'on' to enable the echoing of the batch commands @REM MAVEN_BATCH_PAUSE - set to 'on' to wait for ...
You can call any Redis commands on it just like the Redis instance. The commands are queued in memory and flushed to Redis by calling the exec method: const pipeline = redis.pipeline(); pipeline.set("foo", "bar"); pipeline.del("cc"); pipeline.exec((err, results) => { // `err`...
You can call any Redis commands on it just like the Redis instance. The commands are queued in memory and flushed to Redis by calling the exec method: const pipeline = redis.pipeline(); pipeline.set("foo", "bar"); pipeline.del("cc"); pipeline.exec((err, results) => { // `err`...