欢迎来到官方 Redis 开发者中心的入门指南！
如果你是 Redis 新手，我们建议从 Redis 大学 (RU101) 开始。RU101 是一门入门课程，非常适合 Redis 新手开发者。在这门课程中，你将学习 Redis 的数据结构，并了解如何在实际世界中应用它们。
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下面的 docker run 命令将 redis-server 暴露在 6379 端口，RedisInsight 暴露在 8001 端口。你可以通过浏览器访问 http://localhost:8001 使用 RedisInsight。
# install
$ docker run -d --name redis-stack -p 6379:6379 -p 8001:8001 redis/redis-stack:latest你可以使用 redis-cli 连接到 localhost:6379 的服务器。如果你本地没有安装 redis-cli，可以像下面这样从 Docker 容器中运行它：
# connect
$ docker exec -it redis-stack redis-cliRedisInsight
# syntax 1 : connect using host & port, followed by password
$ redis-cli -h host -p port
> AUTH password
OK
# example 1
$ redis-cli -h redis15.localnet.org -p 6390
> AUTH myUnguessablePassword
OK
# syntax 2 : connect using uri
$ redis-cli -u redis://user:password@host:port/dbnum
# example 2
$ redis-cli -u redis://LJenkins:p%[email protected]:16379/0
# syntax : Check specific keys
> KEYS pattern
# example
> KEYS *
#------------
# syntax : Check number of keys in database
> DBSIZE
#------------
# syntax : set a key value
> SET key value EX expirySeconds
# example
> SET company redis EX 60
#------------
# syntax : get value by key
> GET key
# example
> GET company
#------------
# syntax : delete keys
> DEL key1 key2 key3 ... keyN
# example
> DEL company
#------------
# syntax : Check if key exists
> EXISTS key1
# example
> EXISTS company
#------------
# syntax : set expiry to key
> EXPIRE key seconds
# example
> EXPIRE lastname 60
#------------
# syntax : remove expiry from key
> PERSIST key
# example
> PERSIST lastname
#------------
# syntax : find (remaining) time to live of a key
> TTL key
# example
> TTL lastname
#------------
# syntax : increment a number
> INCR key
# example
> INCR counter
#------------
# syntax : decrement a number
> DECR key
# example
> DECR counterRedis Stack 在 Redis 中启用了 JSON 数据类型。
# syntax : set an object value to a key
> JSON.SET objKey $ value
# example
> JSON.SET person $ '{"name":"Leonard Cohen","dob":1478476800,"isActive": true, "hobbies":["music", "cricket"]}'
#------------
# syntax : get object value of a key
> JSON.GET objKey $
# example
> JSON.GET person $
#------------
# syntax : find object key length
> JSON.OBJLEN objKey $
# example
> JSON.OBJLEN person $
#------------
# syntax : find object keys
> JSON.OBJKEYS objKey $
# example
> JSON.OBJKEYS person $
#------------
# syntax : update nested property
> JSON.SET objKey $.prop value
# example
> JSON.SET person $.name '"Alex"'
#------------
# syntax : update nested array
> JSON.SET objKey $.arrayProp fullValue
> JSON.SET objKey $.arrayProp[index] value
# example
> JSON.SET person $.hobbies '["music", "cricket"]'
> JSON.SET person $.hobbies[1] '"dance"'
#------------
# syntax : remove nested array item by index
> JSON.ARRPOP objKey $.arrayProp index
# example
> JSON.ARRPOP person $.hobbies 1更多详细信息请参阅 Redis Stack 文档
Redis Stack 为 Redis 提供了一个查询和索引引擎，支持二级索引、全文搜索和聚合功能。
# syntax
> FT.CREATE {index_name} ON JSON PREFIX {count} {prefix} SCHEMA {json_path} AS {attribute} {type}
# NOTE: attribute = logical name, json_path = JSONPath expressions
# example
> FT.CREATE userIdx ON JSON PREFIX 1 users: SCHEMA $.user.name AS name TEXT $.user.hobbies AS hobbies TAG $.user.age as age NUMERIC
# NOTE: You can search by any attribute mentioned in the above index for keys that start with users: (e.g. users:1).索引创建后，任何现有/新增/修改的 JSON 文档都会自动被索引。
//sample json document
{
"user": {
"name": "John Smith",
"hobbies": "foo,bar",
"age": 23
}
}# adding JSON document
> JSON.SET myDoc $ '{"user":{"name":"John Smith","hobbies":"foo,bar","age":23}}'# search all user documents with name 'John'
> FT.SEARCH userIdx '@name:(John)'
1) (integer) 1
2) "myDoc"
3) 1) "$"
2) {"user":{"name":"John Smith","hobbies":"foo,bar","age":23}}"# search documents with name 'John' & project only age field
> FT.SEARCH userIdx '@name:(John)' RETURN 1 $.user.age
1) (integer) 1
2) "myDoc"
3) 1) "$.user.age"
2) "23"# project multiple fields
> FT.SEARCH userIdx '@name:(John)' RETURN 2 $.user.age $.user.name
1) (integer) 1
2) "myDoc"
3) 1) "$.user.age"
2) "23"
3) "$.user.name"
4) "John Smith"
#------------
# project with alias name
> FT.SEARCH userIdx '@name:(John)' RETURN 3 $.user.age AS userAge
1) (integer) 1
2) "myDoc"
3) 1) "userAge"
2) "23"
#------------
# multi field query
> FT.SEARCH userIdx '@name:(John) @hobbies:{foo | me} @age:[20 30]'
1) (integer) 1
2) "myDoc"
3) 1) "$"
2) {"user":{"name":"John Smith","hobbies":"foo,bar","age":23}}"关于 查询语法 的更多详细信息
> FT.DROPINDEX userIdxRedis Stack 支持概率数据类型和查询。下面是一个股票排行榜示例：
# Reserve a new leaderboard filter
> TOPK.RESERVE trending-stocks 12 50 4 0.9
"OK"
# Add a new entries to the leaderboard
> TOPK.ADD trending-stocks AAPL AMD MSFT INTC GOOG FB NFLX GME AMC TSLA
1) "null" ...
# Get the leaderboard
> TOPK.LIST trending-stocks
1) "AAPL"
2) "AMD"
2) "MSFT" ...
# Get information about the leaderboard
> TOPK.INFO trending-stocks
1) "k"
2) "12"
3) "width"
4) "50"
5) "depth"
6) "4"
7) "decay"
8) "0.90000000000000002"更多详细信息请参阅 文档
Redis Stack 支持时间序列用例，例如物联网、股票价格和遥测数据。你可以以 Redis 的速度摄取和查询数百万个样本和事件。你还可以使用各种查询进行可视化和监控，并通过内置连接器连接到 Grafana、Prometheus 和 Telegraf 等流行工具。
以下示例演示了如何在 Redis Stack 中存储温度传感器读数：
# Create new time-series, for example temperature readings
> TS.CREATE temperature:raw DUPLICATE_POLICY LAST
"OK"
# Create a bucket for monthly aggregation
> TS.CREATE temperature:monthly DUPLICATE_POLICY LAST
"OK"
# Automatically aggregate based on time-weighted average
> TS.CREATERULE temperature:raw temperature:monthly AGGREGATION twa 2629800000
"OK"
# Add data to the raw time-series
> TS.MADD temperature:raw 1621666800000 52 ...
1) "1621666800000" ...
# View the monthly time-weighted average temperatures
> TS.RANGE temperature:monthly 0 +
1) 1) "1621666800000"
2) "52" ...
# Delete compaction rule
> TS.DELETERULE temperature:raw temperature:monthly
"OK"
# Delete partial time-series
> TS.DEL temperature:raw 0 1621666800000
(integer) 1更多详细信息请参阅 文档
