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A fast Golang Redis client that supports Client Side Caching, Auto Pipelining, Generics OM, RedisJSON, RedisBloom, RediSearch, etc.

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rueidis

Go Reference Build status Go Report Card codecov

A fast Golang Redis client that does auto pipelining and supports client side caching.

Features

Getting Started

package main

import (
	"context"
	"github.com/redis/rueidis"
)

func main() {
	client, err := rueidis.NewClient(rueidis.ClientOption{
		InitAddress: []string{"127.0.0.1:6379"},
	})
	if err != nil {
		panic(err)
	}
	defer client.Close()

	ctx := context.Background()
	// SET key val NX
	err = client.Do(ctx, client.B().Set().Key("key").Value("val").Nx().Build()).Error()
}

Developer friendly Command Builder

client.B() is the builder entrypoint to construct a redis command:

Developer friendly command builder
Recorded by @FZambia Improving Centrifugo Redis Engine throughput and allocation efficiency with Rueidis Go library

Once a command is built, use either client.Do() or client.DoMulti() to send it to redis.

Constructed commands will be recycled to underlying sync.Pool by default and you ❗️SHOULD NOT❗️ reuse them across multiple client.Do() or client.DoMulti() calls. To reuse a command, use Pin() after Build() and it will prevent the command being recycled.

All concurrent non-blocking redis commands (such as GET, SET) are automatically pipelined through connections, which reduces the overall round trips and system calls, and gets higher throughput. You can easily get the benefit of pipelining technique by just calling client.Do() from multiple goroutines. For example:

func BenchmarkPipelining(b *testing.B, client rueidis.Client) {
	// the below client.Do() operations will be issued from
	// multiple goroutines and thus will be pipelined automatically.
	b.RunParallel(func(pb *testing.PB) {
		for pb.Next() {
			client.Do(context.Background(), client.B().Get().Key("k").Build()).ToString()
		}
	})
}

Benchmark comparison with go-redis v9

Comparing to go-redis, Rueidis has higher throughput across 1, 8, and 64 parallelism settings.

It is even able to achieve ~14x throughput over go-redis in a local benchmark of Macbook Pro 16" M1 Pro 2021. (see parallelism(64)-key(16)-value(64)-10)

client_test_set

Benchmark source code: https://github.com/rueian/rueidis-benchmark

A benchmark result performed on two GCP n2-highcpu-2 machines also shows that rueidis can achieve higher throughput with lower latencies: redis#93

Pipelining Bulk Operations Manually

Though all concurrent non-blocking commands are automatically pipelined, you can still pipeline commands manually with DoMulti():

cmds := make(rueidis.Commands, 0, 10)
for i := 0; i < 10; i++ {
    cmds = append(cmds, client.B().Set().Key("key").Value("value").Build())
}
for _, resp := range client.DoMulti(ctx, cmds...) {
    if err := resp.Error(); err != nil {
        panic(err)
    }
}

The opt-in mode of server-assisted client side caching is enabled by default, and can be used by calling DoCache() or DoMultiCache() with pairs of a readonly command and a client side TTL.

client.DoCache(ctx, client.B().Hmget().Key("myhash").Field("1", "2").Cache(), time.Minute).ToArray()
client.DoMultiCache(ctx,
    rueidis.CT(client.B().Get().Key("k1").Cache(), 1*time.Minute),
    rueidis.CT(client.B().Get().Key("k2").Cache(), 2*time.Minute))

Cached responses will be invalidated when being notified by redis or their client side ttl is reached.

Benchmark

Client Side Caching can boost read throughput just like having a redis replica right inside your application:

client_test_get

Benchmark source code: https://github.com/rueian/rueidis-benchmark

Client Side Caching Helpers

Use CacheTTL() to check the remaining client side TTL in seconds:

client.DoCache(ctx, client.B().Get().Key("k1").Cache(), time.Minute).CacheTTL() == 60

Use IsCacheHit() to verify that if the response came from the client side memory:

client.DoCache(ctx, client.B().Get().Key("k1").Cache(), time.Minute).IsCacheHit() == true

If the OpenTelemetry is enabled by the rueidisotel.WithClient(client), then there are also two metrics instrumented:

  • rueidis_do_cache_miss
  • rueidis_do_cache_hits

MGET/JSON.MGET Client Side Caching Helpers

rueidis.MGetCache and rueidis.JsonMGetCache are handy helpers fetching multiple keys across different slots through the client side caching. They will first group keys by slot to build MGET or JSON.MGET commands respectively and then send requests with only cache missed keys to redis nodes.

Broadcast Mode Client Side Caching

Although the default is opt-in mode, you can use broadcast mode by specifying your prefixes in ClientOption.ClientTrackingOptions:

client, err := rueidis.NewClient(rueidis.ClientOption{
	InitAddress:           []string{"127.0.0.1:6379"},
	ClientTrackingOptions: []string{"PREFIX", "prefix1:", "PREFIX", "prefix2:", "BCAST"},
})
if err != nil {
	panic(err)
}
client.DoCache(ctx, client.B().Get().Key("prefix1:1").Cache(), time.Minute).IsCacheHit() == false
client.DoCache(ctx, client.B().Get().Key("prefix1:1").Cache(), time.Minute).IsCacheHit() == true

Please make sure that commands passed to DoCache() and DoMultiCache() are covered by your prefixes. Otherwise, their client-side cache will not be invalidated by redis.

Disable Client Side Caching

Some Redis provider doesn't support client-side caching, ex. Google Cloud Memorystore. You can disable client-side caching by setting ClientOption.DisableCache to true. This will also fall back client.DoCache() and client.DoMultiCache() to client.Do() and client.DoMulti().

Context Cancellation

client.Do(), client.DoMulti(), client.DoCache() and client.DoMultiCache() can return early if the context is canceled or the deadline is reached.

ctx, cancel := context.WithTimeout(context.Background(), time.Second)
defer cancel()
client.Do(ctx, client.B().Set().Key("key").Value("val").Nx().Build()).Error() == context.DeadlineExceeded

Please note that though operations can return early, the command is likely sent already.

Pub/Sub

To receive messages from channels, client.Receive() should be used. It supports SUBSCRIBE, PSUBSCRIBE and Redis 7.0's SSUBSCRIBE:

err = client.Receive(context.Background(), client.B().Subscribe().Channel("ch1", "ch2").Build(), func(msg rueidis.PubSubMessage) {
    // handle the msg
})

The provided handler will be called with received message.

It is important to note that client.Receive() will keep blocking and return only when the following cases:

  1. return nil when received any unsubscribe/punsubscribe message related to the provided subscribe command.
  2. return rueidis.ErrClosing when the client is closed manually.
  3. return ctx.Err() when the ctx is done.
  4. return non-nil err when the provided subscribe command failed.

While the client.Receive() call is blocking, the Client is still able to accept other concurrent requests, and they are sharing the same tcp connection. If your message handler may take some time to complete, it is recommended to use the client.Receive() inside a client.Dedicated() for not blocking other concurrent requests.

Alternative PubSub Hooks

The client.Receive() requires users to provide a subscription command in advance. There is an alternative Dedicatedclient.SetPubSubHooks() allows users to subscribe/unsubscribe channels later.

c, cancel := client.Dedicate()
defer cancel()

wait := c.SetPubSubHooks(rueidis.PubSubHooks{
	OnMessage: func(m rueidis.PubSubMessage) {
		// Handle message. This callback will be called sequentially, but in another goroutine.
	}
})
c.Do(ctx, c.B().Subscribe().Channel("ch").Build())
err := <-wait // disconnected with err

If the hooks are not nil, the above wait channel is guaranteed to be close when the hooks will not be called anymore, and produce at most one error describing the reason. Users can use this channel to detect disconnection.

CAS Pattern

To do a CAS operation (WATCH + MULTI + EXEC), a dedicated connection should be used, because there should be no unintentional write commands between WATCH and EXEC. Otherwise, the EXEC may not fail as expected.

client.Dedicated(func(c rueidis.DedicatedClient) error {
    // watch keys first
    c.Do(ctx, c.B().Watch().Key("k1", "k2").Build())
    // perform read here
    c.Do(ctx, c.B().Mget().Key("k1", "k2").Build())
    // perform write with MULTI EXEC
    c.DoMulti(
        ctx,
        c.B().Multi().Build(),
        c.B().Set().Key("k1").Value("1").Build(),
        c.B().Set().Key("k2").Value("2").Build(),
        c.B().Exec().Build(),
    )
    return nil
})

Or use Dedicate() and invoke cancel() when finished to put the connection back to the pool.

c, cancel := client.Dedicate()
defer cancel()

c.Do(ctx, c.B().Watch().Key("k1", "k2").Build())
// do the rest CAS operations with the `client` who occupying a connection 

However, occupying a connection is not good in terms of throughput. It is better to use Lua script to perform optimistic locking instead.

Memory Consumption Consideration

Each underlying connection in rueidis allocates a ring buffer for pipelining. Its size is controlled by the ClientOption.RingScaleEachConn and the default value is 10 which results into each ring of size 2^10.

If you have many rueidis connections, you may find that they occupy quite amount of memory. In that case, you may consider reducing ClientOption.RingScaleEachConn to 8 or 9 at the cost of potential throughput degradation.

Lua Script

The NewLuaScript or NewLuaScriptReadOnly will create a script which is safe for concurrent usage.

When calling the script.Exec, it will try sending EVALSHA first and fallback to EVAL if the server returns NOSCRIPT.

script := rueidis.NewLuaScript("return {KEYS[1],KEYS[2],ARGV[1],ARGV[2]}")
// the script.Exec is safe for concurrent call
list, err := script.Exec(ctx, client, []string{"k1", "k2"}, []string{"a1", "a2"}).ToArray()

Redis Cluster, Single Redis and Sentinel

To connect to a redis cluster, the NewClient should be used:

client, err := rueidis.NewClient(rueidis.ClientOption{
    InitAddress: []string{"127.0.0.1:7001", "127.0.0.1:7002", "127.0.0.1:7003"},
    ShuffleInit: true,
})

To connect to a single redis node, still use the NewClient with one InitAddress

client, err := rueidis.NewClient(rueidis.ClientOption{
    InitAddress: []string{"127.0.0.1:6379"},
})

To connect to sentinels, specify the required master set name:

client, err := rueidis.NewClient(rueidis.ClientOption{
    InitAddress: []string{"127.0.0.1:26379", "127.0.0.1:26380", "127.0.0.1:26381"},
    Sentinel: rueidis.SentinelOption{
        MasterSet: "my_master",
    },
})

Arbitrary Command

If you want to construct commands that are absent from the command builder, you can use client.B().Arbitrary():

// This will result into [ANY CMD k1 k2 a1 a2]
client.B().Arbitrary("ANY", "CMD").Keys("k1", "k2").Args("a1", "a2").Build()

Working with JSON, Raw []byte, and Vector Similarity Search

The command builder treats all the parameters as Redis strings, which are binary safe. This means that users can store []byte directly into Redis without conversion. And the rueidis.BinaryString helper can convert []byte to string without copy. For example:

client.B().Set().Key("b").Value(rueidis.BinaryString([]byte{...})).Build()

Treating all the parameters as Redis strings also means that the command builder doesn't do any quoting, conversion automatically for users.

When working with RedisJSON, users frequently need to prepare JSON string in Redis string. And rueidis.JSON can help:

client.B().JsonSet().Key("j").Path("$.myStrField").Value(rueidis.JSON("str")).Build()
// equivalent to
client.B().JsonSet().Key("j").Path("$.myStrField").Value(`"str"`).Build()

When working with vector similarity search, users can use rueidis.VectorString32 and rueidis.VectorString64 to build queries:

cmd := client.B().FtSearch().Index("idx").Query("*=>[KNN 5 @vec $V]").
    Params().Nargs(2).NameValue().NameValue("V", rueidis.VectorString64([]float64{...})).
    Dialect(2).Build()
n, resp, err := client.Do(ctx, cmd).AsFtSearch()

Command Response Cheatsheet

It is hard to remember what message type is returned from redis and which parsing method should be used with. So, here is some common examples:

// GET
client.Do(ctx, client.B().Get().Key("k").Build()).ToString()
client.Do(ctx, client.B().Get().Key("k").Build()).AsInt64()
// MGET
client.Do(ctx, client.B().Mget().Key("k1", "k2").Build()).ToArray()
// SET
client.Do(ctx, client.B().Set().Key("k").Value("v").Build()).Error()
// INCR
client.Do(ctx, client.B().Incr().Key("k").Build()).AsInt64()
// HGET
client.Do(ctx, client.B().Hget().Key("k").Field("f").Build()).ToString()
// HMGET
client.Do(ctx, client.B().Hmget().Key("h").Field("a", "b").Build()).ToArray()
// HGETALL
client.Do(ctx, client.B().Hgetall().Key("h").Build()).AsStrMap()
// ZRANGE
client.Do(ctx, client.B().Zrange().Key("k").Min("1").Max("2").Build()).AsStrSlice()
// ZRANK
client.Do(ctx, client.B().Zrank().Key("k").Member("m").Build()).AsInt64()
// ZSCORE
client.Do(ctx, client.B().Zscore().Key("k").Member("m").Build()).AsFloat64()
// ZRANGE
client.Do(ctx, client.B().Zrange().Key("k").Min("0").Max("-1").Build()).AsStrSlice()
client.Do(ctx, client.B().Zrange().Key("k").Min("0").Max("-1").Withscores().Build()).AsZScores()
// ZPOPMIN
client.Do(ctx, client.B().Zpopmin().Key("k").Build()).AsZScore()
client.Do(ctx, client.B().Zpopmin().Key("myzset").Count(2).Build()).AsZScores()
// SCARD
client.Do(ctx, client.B().Scard().Key("k").Build()).AsInt64()
// SMEMBERS
client.Do(ctx, client.B().Smembers().Key("k").Build()).AsStrSlice()
// LINDEX
client.Do(ctx, client.B().Lindex().Key("k").Index(0).Build()).ToString()
// LPOP
client.Do(ctx, client.B().Lpop().Key("k").Build()).ToString()
client.Do(ctx, client.B().Lpop().Key("k").Count(2).Build()).AsStrSlice()
// FT.SEARCH
client.Do(ctx, client.B().FtSearch().Index("idx").Query("@f:v").Build()).AsFtSearch()

Supporting Go mod 1.18

To support the old Go 1.18 at least until Go 1.21 comes, there will be a special build tagged with -go1.18 for each release.

Such releases remove RedisResult.AsBytes() and other related functionalities provided by later go versions.

# go.mod
module mymodule

go 1.18

require github.com/redis/rueidis v1.0.0-go1.18

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A fast Golang Redis client that supports Client Side Caching, Auto Pipelining, Generics OM, RedisJSON, RedisBloom, RediSearch, etc.

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