A robust, performance-focused and full-featured Redis client for Node.js.

Supports Redis >= 2.6.12. Completely compatible with Redis 7.x.

ioredis is a robust, full-featured Redis client that is used in the world's biggest online commerce company Alibaba and many other awesome companies.

0. Full-featured. It supports Cluster, Sentinel, Streams, Pipelining, and of course Lua scripting, Redis Functions, Pub/Sub (with the support of binary messages).
1. High performance 🚀.
2. Delightful API 😄. It works with Node callbacks and Native promises.
3. Transformation of command arguments and replies.
4. Transparent key prefixing.
5. Abstraction for Lua scripting, allowing you to define custom commands.
6. Supports binary data.
7. Supports TLS 🔒.
8. Supports offline queue and ready checking.
9. Supports ES6 types, such as Map and Set.
10. Supports GEO commands 📍.
11. Supports Redis ACL.
12. Sophisticated error handling strategy.
13. Supports NAT mapping.
14. Supports autopipelining.

100% written in TypeScript and official declarations are provided:

Refer to CHANGELOG.md for features and bug fixes introduced in v5.

🚀 Upgrading from v4 to v5

• API Documentation (Redis, Cluster)
• Changelog

npm install ioredis

In a TypeScript project, you may want to add TypeScript declarations for Node.js:

npm install --save-dev @types/node

// Import ioredis.
// You can also use `import { Redis } from "ioredis"`
// if your project is a TypeScript project,
// Note that `import Redis from "ioredis"` is still supported,
// but will be deprecated in the next major version.
const Redis = require("ioredis");

// Create a Redis instance.
// By default, it will connect to localhost:6379.
// We are going to cover how to specify connection options soon.
const redis = new Redis();

redis.set("mykey", "value"); // Returns a promise which resolves to "OK" when the command succeeds.

// ioredis supports the node.js callback style
redis.get("mykey", (err, result) => {
  if (err) {
    console.error(err);
  } else {
    console.log(result); // Prints "value"
  }
});

// Or ioredis returns a promise if the last argument isn't a function
redis.get("mykey").then((result) => {
  console.log(result); // Prints "value"
});

redis.zadd("sortedSet", 1, "one", 2, "dos", 4, "quatro", 3, "three");
redis.zrange("sortedSet", 0, 2, "WITHSCORES").then((elements) => {
  // ["one", "1", "dos", "2", "three", "3"] as if the command was `redis> ZRANGE sortedSet 0 2 WITHSCORES`
  console.log(elements);
});

// All arguments are passed directly to the redis server,
// so technically ioredis supports all Redis commands.
// The format is: redis[SOME_REDIS_COMMAND_IN_LOWERCASE](ARGUMENTS_ARE_JOINED_INTO_COMMAND_STRING)
// so the following statement is equivalent to the CLI: `redis> SET mykey hello EX 10`
redis.set("mykey", "hello", "EX", 10);

See the examples/ folder for more examples. For example:

• TTL
• Strings
• Hashes
• Lists
• Sets
• Sorted Sets
• Streams
• Redis Modules e.g. RedisJSON

All Redis commands are supported. See the documentation for details.

When a new Redis instance is created, a connection to Redis will be created at the same time. You can specify which Redis to connect to by:

new Redis(); // Connect to 127.0.0.1:6379
new Redis(6380); // 127.0.0.1:6380
new Redis(6379, "192.168.1.1"); // 192.168.1.1:6379
new Redis("/tmp/redis.sock");
new Redis({
  port: 6379, // Redis port
  host: "127.0.0.1", // Redis host
  username: "default", // needs Redis >= 6
  password: "my-top-secret",
  db: 0, // Defaults to 0
});

You can also specify connection options as a redis:// URL or rediss:// URL when using TLS encryption:

// Connect to 127.0.0.1:6380, db 4, using password "authpassword":
new Redis("redis://:[email protected]:6380/4");

// Username can also be passed via URI.
new Redis("redis://username:[email protected]:6380/4");

See API Documentation for all available options.

Redis provides several commands for developers to implement the Publish–subscribe pattern. There are two roles in this pattern: publisher and subscriber. Publishers are not programmed to send their messages to specific subscribers. Rather, published messages are characterized into channels, without knowledge of what (if any) subscribers there may be.

By leveraging Node.js's built-in events module, ioredis makes pub/sub very straightforward to use. Below is a simple example that consists of two files, one is publisher.js that publishes messages to a channel, the other is subscriber.js that listens for messages on specific channels.

// publisher.js

const Redis = require("ioredis");
const redis = new Redis();

setInterval(() => {
  const message = { foo: Math.random() };
  // Publish to my-channel-1 or my-channel-2 randomly.
  const channel = `my-channel-${1 + Math.round(Math.random())}`;

  // Message can be either a string or a buffer
  redis.publish(channel, JSON.stringify(message));
  console.log("Published %s to %s", message, channel);
}, 1000);

// subscriber.js

const Redis = require("ioredis");
const redis = new Redis();

redis.subscribe("my-channel-1", "my-channel-2", (err, count) => {
  if (err) {
    // Just like other commands, subscribe() can fail for some reasons,
    // ex network issues.
    console.error("Failed to subscribe: %s", err.message);
  } else {
    // `count` represents the number of channels this client are currently subscribed to.
    console.log(
      `Subscribed successfully! This client is currently subscribed to ${count} channels.`
    );
  }
});

redis.on("message", (channel, message) => {
  console.log(`Received ${message} from ${channel}`);
});

// There's also an event called 'messageBuffer', which is the same as 'message' except
// it returns buffers instead of strings.
// It's useful when the messages are binary data.
redis.on("messageBuffer", (channel, message) => {
  // Both `channel` and `message` are buffers.
  console.log(channel, message);
});

It's worth noticing that a connection (aka a Redis instance) can't play both roles at the same time. More specifically, when a client issues subscribe() or psubscribe(), it enters the "subscriber" mode. From that point, only commands that modify the subscription set are valid. Namely, they are: subscribe, psubscribe, unsubscribe, punsubscribe, ping, and quit. When the subscription set is empty (via unsubscribe/punsubscribe), the connection is put back into the regular mode.

If you want to do pub/sub in the same file/process, you should create a separate connection:

const Redis = require("ioredis");
const sub = new Redis();
const pub = new Redis();

sub.subscribe(/* ... */); // From now, `sub` enters the subscriber mode.
sub.on("message" /* ... */);

setInterval(() => {
  // `pub` can be used to publish messages, or send other regular commands (e.g. `hgetall`)
  // because it's not in the subscriber mode.
  pub.publish(/* ... */);
}, 1000);

PSUBSCRIBE is also supported in a similar way when you want to subscribe all channels whose name matches a pattern:

redis.psubscribe("pat?ern", (err, count) => {});

// Event names are "pmessage"/"pmessageBuffer" instead of "message/messageBuffer".
redis.on("pmessage", (pattern, channel, message) => {});
redis.on("pmessageBuffer", (pattern, channel, message) => {});

Redis v5 introduces a new data type called streams. It doubles as a communication channel for building streaming architectures and as a log-like data structure for persisting data. With ioredis, the usage can be pretty straightforward. Say we have a producer publishes messages to a stream with redis.xadd("mystream", "*", "randomValue", Math.random()) (You may find the official documentation of Streams as a starter to understand the parameters used), to consume the messages, we'll have a consumer with the following code:

const Redis = require("ioredis");
const redis = new Redis();

const processMessage = (message) => {
  console.log("Id: %s. Data: %O", message[0], message[1]);
};

async function listenForMessage(lastId = "$") {
  // `results` is an array, each element of which corresponds to a key.
  // Because we only listen to one key (mystream) here, `results` only contains
  // a single element. See more: https://redis.io/commands/xread#return-value
  const results = await redis.xread("block", 0, "STREAMS", "mystream", lastId);
  const [key, messages] = results[0]; // `key` equals to "mystream"

  messages.forEach(processMessage);

  // Pass the last id of the results to the next round.
  await listenForMessage(messages[messages.length - 1][0]);
}

listenForMessage();

Redis can set a timeout to expire your key, after the timeout has expired the key will be automatically deleted. (You can find the official Expire documentation to understand better the different parameters you can use), to set your key to expire in 60 seconds, we will have the following code:

redis.set("key", "data", "EX", 60);
// Equivalent to redis command "SET key data EX 60", because on ioredis set method,
// all arguments are passed directly to the redis server.

Binary data support is out of the box. Pass buffers to send binary data:

redis.set("foo", Buffer.from([0x62, 0x75, 0x66]));

Every command that returns a bulk string has a variant command with a Buffer suffix. The variant command returns a buffer instead of a UTF-8 string:

const result = await redis.getBuffer("foo");
// result is `<Buffer 62 75 66>`

It's worth noticing that you don't need the Buffer suffix variant in order to send binary data. That means in most case you should just use redis.set() instead of redis.setBuffer() unless you want to get the old value with the GET parameter:

const result = await redis.setBuffer("foo", "new value", "GET");
// result is `<Buffer 62 75 66>` as `GET` indicates returning the old value.

If you want to send a batch of commands (e.g. > 5), you can use pipelining to queue the commands in memory and then send them to Redis all at once. This way the performance improves by 50%~300% (See benchmark section).

redis.pipeline() creates a Pipeline instance. 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` is always null, and `results` is an array of responses
  // corresponding to the sequence of queued commands.
  // Each response follows the format `[err, result]`.
});

// You can even chain the commands:
redis
  .pipeline()
  .set("foo", "bar")
  .del("cc")
  .exec((err, results) => {});

// `exec` also returns a Promise:
const promise = redis.pipeline().set("foo", "bar").get("foo").exec();
promise.then((result) => {
  // result === [[null, 'OK'], [null, 'bar']]
});

Each chained command can also have a callback, which will be invoked when the command gets a reply:

redis
  .pipeline()
  .set("foo", "bar")
  .get("foo", (err, result) => {
    // result === 'bar'
  })
  .exec((err, result) => {
    // result[1][1] === 'bar'
  });

In addition to adding commands to the pipeline queue individually, you can also pass an array of commands and arguments to the constructor:

redis
  .pipeline([
    ["set", "foo", "bar"],
    ["get", "foo"],
  ])
  .exec(() => {
    /* ... */
  });

#length property shows how many commands in the pipeline:

const length = redis.pipeline().set("foo", "bar").get("foo").length;
// length === 2

Most of the time, the transaction commands multi & exec are used together with pipeline. Therefore, when multi is called, a Pipeline instance is created automatically by default, so you can use multi just like pipeline:

redis
  .multi()
  .set("foo", "bar")
  .get("foo")
  .exec((err, results) => {
    // results === [[null, 'OK'], [null, 'bar']]
  });

If there's a syntax error in the transaction's command chain (e.g. wrong number of arguments, wrong command name, etc), then none of the commands would be executed, and an error is returned:

redis
  .multi()
  .set("foo")
  .set("foo", "new value")
  .exec((err, results) => {
    // err:
    //  { [ReplyError: EXECABORT Transaction discarded because of previous errors.]
    //    name: 'ReplyError',
    //    message: 'EXECABORT Transaction discarded because of previous errors.',
    //    command: { name: 'exec', args: [] },
    //    previousErrors:
    //     [ { [ReplyError: ERR wrong number of arguments for 'set' command]
    //         name: 'ReplyError',
    //         message: 'ERR wrong number of arguments for \'set\' command',
    //         command: [Object] } ] }
  });

In terms of the interface, multi differs from pipeline in that when specifying a callback to each chained command, the queueing state is passed to the callback instead of the result of the command:

redis
  .multi()
  .set("foo", "bar", (err, result) => {
    // result === 'QUEUED'
  })
  .exec(/* ... */);

If you want to use transaction without pipeline, pass { pipeline: false } to multi, and every command will be sent to Redis immediately without waiting for an exec invocation:

redis.multi({ pipeline: false });
redis.set("foo", "bar");
redis.get("foo");
redis.exec((err, result) => {
  // result === [[null, 'OK'], [null, 'bar']]
});

The constructor of multi also accepts a batch of commands:

redis
  .multi([
    ["set", "foo", "bar"],
    ["get", "foo"],
  ])
  .exec(() => {
    /* ... */
  });

Inline transactions are supported by pipeline, which means you can group a subset of commands in the pipeline into a transaction:

redis
  .pipeline()
  .get("foo")
  .multi()
  .set("foo", "bar")
  .get("foo")
  .exec()
  .get("foo")
  .exec();

ioredis supports all of the scripting commands such as EVAL, EVALSHA and SCRIPT. However, it's tedious to use in real world scenarios since developers have to take care of script caching and to detect when to use EVAL and when to use EVALSHA. ioredis exposes a defineCommand method to make scripting much easier to use:

const redis = new Redis();

// This will define a command myecho:
redis.defineCommand("myecho", {
  numberOfKeys: 2,
  lua: "return {KEYS[1],KEYS[2],ARGV[1],ARGV[2]}",
});

// Now `myecho` can be used just like any other ordinary command,
// and ioredis will try to use `EVALSHA` internally when possible for better performance.
redis.myecho("k1", "k2", "a1", "a2", (err, result) => {
  // result === ['k1', 'k2', 'a1', 'a2']
});

// `myechoBuffer` is also defined automatically to return buffers instead of strings:
redis.myechoBuffer("k1", "k2", "a1", "a2", (err, result) => {
  // result[0] equals to Buffer.from('k1');
});

// And of course it works with pipeline:
redis.pipeline().set("foo", "bar").myecho("k1", "k2", "a1", "a2").exec();

If the number of keys can't be determined when defining a command, you can omit the numberOfKeys property and pass the number of keys as the first argument when you call the command:

redis.defineCommand("echoDynamicKeyNumber", {
  lua: "return {KEYS[1],KEYS[2],ARGV[1],ARGV[2]}",
});

// Now you have to pass the number of keys as the first argument every time
// you invoke the `echoDynamicKeyNumber` command:
redis.echoDynamicKeyNumber(2, "k1", "k2", "a1", "a2", (err, result) => {
  // result === ['k1', 'k2', 'a1', 'a2']
});

Besides defineCommand(), you can also define custom commands with the scripts constructor option:

const redis = new Redis({
  scripts: {
    myecho: {
      numberOfKeys: 2,
      lua: "return {KEYS[1],KEYS[2],ARGV[1],ARGV[2]}",
    },
  },
});

You can refer to the example for how to declare your custom commands.

This feature allows you to specify a string that will automatically be prepended to all the keys in a command, which makes it easier to manage your key namespaces.

Warning This feature won't apply to commands like KEYS and SCAN that take patterns rather than actual keys(#239), and this feature also won't apply to the replies of commands even if they are key names (#325).

const fooRedis = new Redis({ keyPrefix: "foo:" });
fooRedis.set("bar", "baz"); // Actually sends SET foo:bar baz

fooRedis.defineCommand("myecho", {
  numberOfKeys: 2,
  lua: "return {KEYS[1],KEYS[2],ARGV[1],ARGV[2]}",
});

// Works well with pipelining/transaction
fooRedis
  .pipeline()
  // Sends SORT foo:list BY foo:weight_*->fieldname
  .sort("list", "BY", "weight_*->fieldname")
  // Supports custom commands
  // Sends EVALSHA xxx foo:k1 foo:k2 a1 a2
  .myecho("k1", "k2", "a1", "a2")
  .exec();

Most Redis commands take one or more Strings as arguments, and replies are sent back as a single String or an Array of Strings. However, sometimes you may want something different. For instance, it would be more convenient if the HGETALL command returns a hash (e.g. { key: val1, key2: v2 }) rather than an array of key values (e.g. [key1, val1, key2, val2]).

ioredis has a flexible system for transforming arguments and replies. There are two types of transformers, argument transformer and reply transformer:

const Redis = require("ioredis");

// Here's the built-in argument transformer converting
// hmset('key', { k1: 'v1', k2: 'v2' })
// or
// hmset('key', new Map([['k1', 'v1'], ['k2', 'v2']]))
// into
// hmset('key', 'k1', 'v1', 'k2', 'v2')
Redis.Command.setArgumentTransformer("hmset", (args) => {
  if (args.length === 2) {
    if (args[1] instanceof Map) {
      // utils is a internal module of ioredis
      return [args[0], ...utils.convertMapToArray(args[1])];
    }
    if (typeof args[1] === "object" && args[1] !== null) {
      return [args[0], ...utils.convertObjectToArray(args[1])];
    }
  }
  return args;
});

// Here's the built-in reply transformer converting the HGETALL reply
// ['k1', 'v1', 'k2', 'v2']
// into
// { k1: 'v1', 'k2': 'v2' }
Redis.Command.setReplyTransformer("hgetall", (result) => {
  if (Array.isArray(result)) {
    const obj = {};
    for (let i = 0; i < result.length; i += 2) {
      obj[result[i]] = result[i + 1];
    }
    return obj;
  }
  return result;
});

There are three built-in transformers, two argument transformers for hmset & mset and a reply transformer for hgetall. Transformers for hmset and hgetall were mentioned above, and the transformer for mset is similar to the one for hmset:

redis.mset({ k1: "v1", k2: "v2" });
redis.get("k1", (err, result) => {
  // result === 'v1';
});

redis.mset(
  new Map([
    ["k3", "v3"],
    ["k4", "v4"],
  ])
);
redis.get("k3", (err, result) => {
  // result === 'v3';
});

Another useful example of a reply transformer is one that changes hgetall to return array of arrays instead of objects which avoids an unwanted conversation of hash keys to strings when dealing with binary hash keys:

Redis.Command.setReplyTransformer("hgetall", (result) => {
  const arr = [];
  for (let i = 0; i < result.length; i += 2) {
    arr.push([result[i], result[i + 1]]);
  }
  return arr;
});
redis.hset("h1", Buffer.from([0x01]), Buffer.from([0x02]));
redis.hset("h1", Buffer.from([0x03]), Buffer.from([0x04]));
redis.hgetallBuffer("h1", (err, result) => {
  // result === [ [ <Buffer 01>, <Buffer 02> ], [ <Buffer 03>, <Buffer 04> ] ];
});

Redis supports the MONITOR command, which lets you see all commands received by the Redis server across all client connections, including from other client libraries and other computers.

The monitor method returns a monitor instance. After you send the MONITOR command, no other commands are valid on that connection. ioredis will emit a monitor event for every new monitor message that comes across. The callback for the monitor event takes a timestamp from the Redis server and an array of command arguments.

Here is a simple example:

redis.monitor((err, monitor) => {
  monitor.on("monitor", (time, args, source, database) => {});
});

Here is another example illustrating an async function and monitor.disconnect():

async () => {
  const monitor = await redis.monitor();
  monitor.on("monitor", console.log);
  // Any other tasks
  monitor.disconnect();
};

Redis 2.8 added the SCAN command to incrementally iterate through the keys in the database. It's different from KEYS in that SCAN only returns a small number of elements each call, so it can be used in production without the downside of blocking the server for a long time. However, it requires recording the cursor on the client side each time the SCAN command is called in order to iterate through all the keys correctly. Since it's a relatively common use case, ioredis provides a streaming interface for the SCAN command to make things much easier. A readable stream can be created by calling scanStream:

const redis = new Redis();
// Create a readable stream (object mode)
const stream = redis.scanStream();
stream.on("data", (resultKeys) => {
  // `resultKeys` is an array of strings representing key names.
  // Note that resultKeys may contain 0 keys, and that it will sometimes
  // contain duplicates due to SCAN's implementation in Redis.
  for (let i = 0; i < resultKeys.length; i++) {
    console.log(resultKeys[i]);
  }
});
stream.on("end", () => {
  console.log("all keys have been visited");
});

scanStream accepts an option, with which you can specify the MATCH pattern, the TYPE filter, and the COUNT argument:

const stream = redis.scanStream({
  // only returns keys following the pattern of `user:*`
  match: "user:*",
  // only return objects that match a given type,
  // (requires Redis >= 6.0)
  type: "zset",
  // returns approximately 100 elements per call
  count: 100,
});

Just like other commands, scanStream has a binary version scanBufferStream, which returns an array of buffers. It's useful when the key names are not utf8 strings.

There are also hscanStream, zscanStream and sscanStream to iterate through elements in a hash, zset and set. The interface of each is similar to scanStream except the first argument is the key name:

const stream = redis.hscanStream("myhash", {
  match: "age:??",
});

You can learn more from the Redis documentation.

Useful Tips It's pretty common that doing an async task in the data handler. We'd like the scanning process to be paused until the async task to be finished. Stream#pause() and Stream#resume() do the trick. For example if we want to migrate data in Redis to MySQL:

const stream = redis.scanStream();
stream.on("data", (resultKeys) => {
  // Pause the stream from scanning more keys until we've migrated the current keys.
  stream.pause();

  Promise.all(resultKeys.map(migrateKeyToMySQL)).then(() => {
    // Resume the stream here.
    stream.resume();
  });
});

stream.on("end", () => {
  console.log("done migration");
});

By default, ioredis will try to reconnect when the connection to Redis is lost except when the connection is closed manually by redis.disconnect() or redis.quit().

It's very flexible to control how long to wait to reconnect after disconnection using the retryStrategy option:

const redis = new Redis({
  // This is the default value of `retryStrategy`
  retryStrategy(times) {
    const delay = Math.min(times * 50, 2000);
    return delay;
  },
});

retryStrategy is a function that will be called when the connection is lost. The argument times means this is the nth reconnection being made and the return value represents how long (in ms) to wait to reconnect. When the return value isn't a number, ioredis will stop trying to reconnect, and the connection will be lost forever if the user doesn't call redis.connect() manually.

When reconnected, the client will auto subscribe to channels that the previous connection subscribed to. This behavior can be disabled by setting the autoResubscribe option to false.

And if the previous connection has some unfulfilled commands (most likely blocking commands such as brpop and blpop), the client will resend them when reconnected. This behavior can be disabled by setting the autoResendUnfulfilledCommands option to false.

By default, all pending commands will be flushed with an error every 20 retry attempts. That makes sure commands won't wait forever when the connection is down. You can change this behavior by setting maxRetriesPerRequest:

const redis = new Redis({
  maxRetriesPerRequest: 1,
});

Set maxRetriesPerRequest to null to disable this behavior, and every command will wait forever until the connection is alive again (which is the default behavior before ioredis v4).

Besides auto-reconnect when the connection is closed, ioredis supports reconnecting on certain Redis errors using the reconnectOnError option. Here's an example that will reconnect when receiving READONLY error:

const redis = new Redis({
  reconnectOnError(err) {
    const targetError = "READONLY";
    if (err.message.includes(targetError)) {
      // Only reconnect when the error contains "READONLY"
      return true; // or `return 1;`
    }
  },
});

This feature is useful when using Amazon ElastiCache instances with Auto-failover disabled. On these instances, test your reconnectOnError handler by manually promoting the replica node to the primary role using the AWS console. The following writes fail with the error READONLY. Using reconnectOnError, we can force the connection to reconnect on this error in order to connect to the new master. Furthermore, if the reconnectOnError returns 2, ioredis will resend the failed command after reconnecting.

On ElastiCache instances with Auto-failover enabled, reconnectOnError does not execute. Instead of returning a Redis error, AWS closes all connections to the master endpoint until the new primary node is ready. ioredis reconnects via retryStrategy instead of reconnectOnError after about a minute. On ElastiCache instances with Auto-failover enabled, test failover events with the Failover primary option in the AWS console.

The Redis instance will emit some events about the state of the connection to the Redis server.

You can also check out the Redis#status property to get the current connection status.

Besides the above connection events, there are several other custom events:

When a command can't be processed by Redis (being sent before the ready event), by default, it's added to the offline queue and will be executed when it can be processed. You can disable this feature by setting the enableOfflineQueue option to false:

const redis = new Redis({ enableOfflineQueue: false });

Redis doesn't support TLS natively, however if the redis server you want to connect to is hosted behind a TLS proxy (e.g. stunnel) or is offered by a PaaS service that supports TLS connection (e.g. Redis.com), you can set the tls option:

const redis = new Redis({
  host: "localhost",
  tls: {
    // Refer to `tls.connect()` section in
    // https://nodejs.org/api/tls.html
    // for all supported options
    ca: fs.readFileSync("cert.pem"),
  },
});

Alternatively, specify the connection through a rediss:// URL.

const redis = new Redis("rediss://redis.my-service.com");

If you do not want to use a connection string, you can also specify an empty tls: {} object:

const redis = new Redis({
  host: "redis.my-service.com",
  tls: {},
});

Warning TLS profiles described in this section are going to be deprecated in the next major version. Please provide TLS options explicitly.

To make it easier to configure we provide a few pre-configured TLS profiles that can be specified by setting the tls option to the profile's name or specifying a tls.profile option in case you need to customize some values of the profile.

Profiles:

• RedisCloudFixed: Contains the CA for Redis.com Cloud fixed subscriptions
• RedisCloudFlexible: Contains the CA for Redis.com Cloud flexible subscriptions

const redis = new Redis({
  host: "localhost",
  tls: "RedisCloudFixed",
});

const redisWithClientCertificate = new Redis({
  host: "localhost",
  tls: {
    profile: "RedisCloudFixed",
    key: "123",
  },
});

ioredis supports Sentinel out of the box. It works transparently as all features that work when you connect to a single node also work when you connect to a sentinel group. Make sure to run Redis >= 2.8.12 if you want to use this feature. Sentinels have a default port of 26379.

To connect using Sentinel, use:

const redis = new Redis({
  sentinels: [
    { host: "localhost", port: 26379 },
    { host: "localhost", port: 26380 },
  ],
  name: "mymaster",
});

redis.set("foo", "bar");

The arguments passed to the constructor are different from the ones you use to connect to a single node, where:

• name identifies a group of Redis instances composed of a master and one or more slaves (mymaster in the example);
• sentinelPassword (optional) password for Sentinel instances.
• sentinels are a list of sentinels to connect to. The list does not need to enumerate all your sentinel instances, but a few so that if one is down the client will try the next one.
• role (optional) with a value of slave will return a random slave from the Sentinel group.
• preferredSlaves (optional) can be used to prefer a particular slave or set of slaves based on priority. It accepts a function or array.
• enableTLSForSentinelMode (optional) set to true if connecting to sentinel instances that are encrypted

ioredis guarantees that the node you connected to is always a master even after a failover. When a failover happens, instead of trying to reconnect to the failed node (which will be demoted to slave when it's available again), ioredis will ask sentinels for the new master node and connect to it. All commands sent during the failover are queued and will be executed when the new connection is established so that none of the commands will be lost.

It's possible to connect to a slave instead of a master by specifying the option role with the value of slave and ioredis will try to connect to a random slave of the specified master, with the guarantee that the connected node is always a slave. If the current node is promoted to master due to a failover, ioredis will disconnect from it and ask the sentinels for another slave node to connect to.

If you specify the option preferredSlaves along with role: 'slave' ioredis will attempt to use this value when selecting the slave from the pool of available slaves. The value of preferredSlaves should either be a function that accepts an array of available slaves and returns a single result, or an array of slave values priorities by the lowest prio value first with a default value of 1.

// available slaves format
const availableSlaves = [{ ip: "127.0.0.1", port: "31231", flags: "slave" }];

// preferredSlaves array format
let preferredSlaves = [
  { ip: "127.0.0.1", port: "31231", prio: 1 },
  { ip: "127.0.0.1", port: "31232", prio: 2 },
];

// preferredSlaves function format
preferredSlaves = function (availableSlaves) {
  for (let i = 0; i < availableSlaves.length; i++) {
    const slave = availableSlaves[i];
    if (slave.ip === "127.0.0.1") {
      if (slave.port === "31234") {
        return slave;
      }
    }
  }
  // if no preferred slaves are available a random one is used
  return false;
};

const redis = new Redis({
  sentinels: [
    { host: "127.0.0.1", port: 26379 },
    { host: "127.0.0.1", port: 26380 },
  ],
  name: "mymaster",
  role: "slave",
  preferredSlaves: preferredSlaves,
});

Besides the retryStrategy option, there's also a sentinelRetryStrategy in Sentinel mode which will be invoked when all the sentinel nodes are unreachable during connecting. If sentinelRetryStrategy returns a valid delay time, ioredis will try to reconnect from scratch. The default value of sentinelRetryStrategy is:

function (times) {
  const delay = Math.min(times * 10, 1000);
  return delay;
}

Redis Cluster provides a way to run a Redis installation where data is automatically sharded across multiple Redis nodes. You can connect to a Redis Cluster like this:

const Redis = require("ioredis");

const cluster = new Redis.Cluster([
  {
    port: 6380,
    host: "127.0.0.1",
  },
  {
    port: 6381,
    host: "127.0.0.1",
  },
]);

cluster.set("foo", "bar");
cluster.get("foo", (err, res) => {
  // res === 'bar'
});

Cluster constructor accepts two arguments, where:

0. The first argument is a list of nodes of the cluster you want to connect to. Just like Sentinel, the list does not need to enumerate all your cluster nodes, but a few so that if one is unreachable the client will try the next one, and the client will discover other nodes automatically when at least one node is connected.

1. The second argument is the options, where:

   • clusterRetryStrategy: When none of the startup nodes are reachable, clusterRetryStrategy will be invoked. When a number is returned, ioredis will try to reconnect to the startup nodes from scratch after the specified delay (in ms). Otherwise, an error of "None of startup nodes is available" will be returned. The default value of this option is:

     function (times) {
       const delay = Math.min(100 + times * 2, 2000);
       return delay;
     }

     It's possible to modify the startupNodes property in order to switch to another set of nodes here:

     function (times) {
       this.startupNodes = [{ port: 6790, host: '127.0.0.1' }];
       return Math.min(100 + times * 2, 2000);
     }

   • dnsLookup: Alternative DNS lookup function (dns.lookup() is used by default). It may be useful to override this in special cases, such as when AWS ElastiCache used with TLS enabled.

   • enableOfflineQueue: Similar to the enableOfflineQueue option of Redis class.

   • enableReadyCheck: When enabled, "ready" event will only be emitted when CLUSTER INFO command reporting the cluster is ready for handling commands. Otherwise, it will be emitted immediately after "connect" is emitted.

   • scaleReads: Config where to send the read queries. See below for more details.

   • maxRedirections: When a cluster related error (e.g. MOVED, ASK and CLUSTERDOWN etc.) is received, the client will redirect the command to another node. This option limits the max redirections allowed when sending a command. The default value is 16.

   • retryDelayOnFailover: If the target node is disconnected when sending a command, ioredis will retry after the specified delay. The default value is 100. You should make sure retryDelayOnFailover * maxRedirections > cluster-node-timeout to insure that no command will fail during a failover.

   • retryDelayOnClusterDown: When a cluster is down, all commands will be rejected with the error of CLUSTERDOWN. If this option is a number (by default, it is 100), the client will resend the commands after the specified time (in ms).

   • retryDelayOnTryAgain: If this option is a number (by default, it is 100), the client will resend the commands rejected with TRYAGAIN error after the specified time (in ms).

   • retryDelayOnMoved: By default, this value is 0 (in ms), which means when a MOVED error is received, the client will resend the command instantly to the node returned together with the MOVED error. However, sometimes it takes time for a cluster to become state stabilized after a failover, so adding a delay before resending can prevent a ping pong effect.

   • redisOptions: Default options passed to the constructor of Redis when connecting to a node.

   • slotsRefreshTimeout: Milliseconds before a timeout occurs while refreshing slots from the cluster (default 1000).

   • slotsRefreshInterval: Milliseconds between every automatic slots refresh (by default, it is disabled).

A typical redis cluster contains three or more masters and several slaves for each master. It's possible to scale out redis cluster by sending read queries to slaves and write queries to masters by setting the scaleReads option.

scaleReads is "master" by default, which means ioredis will never send any queries to slaves. There are other three available options:

1. "all": Send write queries to masters and read queries to masters or slaves randomly.
2. "slave": Send write queries to masters and read queries to slaves.
3. a custom function(nodes, command): node: Will choose the custom function to select to which node to send read queries (write queries keep being sent to master). The first node in nodes is always the master serving the relevant slots. If the function returns an array of nodes, a random node of that list will be selected.

For example:

const cluster = new Redis.Cluster(
  [
    /* nodes */
  ],
  {
    scaleReads: "slave",
  }
);
cluster.set("foo", "bar"); // This query will be sent to one of the masters.
cluster.get("foo", (err, res) => {
  // This query will be sent to one of the slaves.
});

NB In the code snippet above, the res may not be equal to "bar" because of the lag of replication between the master and slaves.

Every command will be sent to exactly one node. For commands containing keys, (e.g. GET, SET and HGETALL), ioredis sends them to the node that serving the keys, and for other commands not containing keys, (e.g. INFO, KEYS and FLUSHDB), ioredis sends them to a random node.

Sometimes you may want to send a command to multiple nodes (masters or slaves) of the cluster, you can get the nodes via Cluster#nodes() method.

Cluster#nodes() accepts a parameter role, which can be "master", "slave" and "all" (default), and returns an array of Redis instance. For example:

// Send `FLUSHDB` command to all slaves:
const slaves = cluster.nodes("slave");
Promise.all(slaves.map((node) => node.flushdb()));

// Get keys of all the masters:
const masters = cluster.nodes("master");
Promise.all(
  masters
    .map((node) => node.keys())
    .then((keys) => {
      // keys: [['key1', 'key2'], ['key3', 'key4']]
    })
);

Sometimes the cluster is hosted within a internal network that can only be accessed via a NAT (Network Address Translation) instance. See Accessing ElastiCache from outside AWS as an example.

You can specify nat mapping rules via natMap option:

const cluster = new Redis.Cluster(
  [
    {
      host: "203.0.113.73",
      port: 30001,
    },
  ],
  {
    natMap: {
      "10.0.1.230:30001": { host: "203.0.113.73", port: 30001 },
      "10.0.1.231:30001": { host: "203.0.113.73", port: 30002 },
      "10.0.1.232:30001": { host: "203.0.113.73", port: 30003 },
    },
  }
);

This option is also useful when the cluster is running inside a Docker container.

Almost all features that are supported by Redis are also supported by Redis.Cluster, e.g. custom commands, transaction and pipeline. However there are some differences when using transaction and pipeline in Cluster mode:

0. All keys in a pipeline should belong to slots served by the same node, since ioredis sends all commands in a pipeline to the same node.
1. You can't use multi without pipeline (aka cluster.multi({ pipeline: false })). This is because when you call cluster.multi({ pipeline: false }), ioredis doesn't know which node the multi command should be sent to.

When any commands in a pipeline receives a MOVED or ASK error, ioredis will resend the whole pipeline to the specified node automatically if all of the following conditions are satisfied:

0. All errors received in the pipeline are the same. For example, we won't resend the pipeline if we got two MOVED errors pointing to different nodes.
1. All commands executed successfully are readonly commands. This makes sure that resending the pipeline won't have side effects.

Pub/Sub in cluster mode works exactly as the same as in standalone mode. Internally, when a node of the cluster receives a message, it will broadcast the message to the other nodes. ioredis makes sure that each message will only be received once by strictly subscribing one node at the same time.

const nodes = [
  /* nodes */
];
const pub = new Redis.Cluster(nodes);
const sub = new Redis.Cluster(nodes);
sub.on("message", (channel, message) => {
  console.log(channel, message);
});

sub.subscribe("news", () => {
  pub.publish("news", "highlights");
});

Setting the password option to access password-protected clusters:

const Redis = require("ioredis");
const cluster = new Redis.Cluster(nodes, {
  redisOptions: {
    password: "your-cluster-password",
  },
});

If some of nodes in the cluster using a different password, you should specify them in the first parameter:

const Redis = require("ioredis");
const cluster = new Redis.Cluster(
  [
    // Use password "password-for-30001" for 30001
    { port: 30001, password: "password-for-30001" },
    // Don't use password when accessing 30002
    { port: 30002, password: null },
    // Other nodes will use "fallback-password"
  ],
  {
    redisOptions: {
      password: "fallback-password",
    },
  }
);

AWS ElastiCache for Redis (Clustered Mode) supports TLS encryption. If you use this, you may encounter errors with invalid certificates. To resolve this issue, construct the Cluster with the dnsLookup option as follows:

const cluster = new Redis.Cluster(
  [
    {
      host: "clustercfg.myCluster.abcdefg.xyz.cache.amazonaws.com",
      port: 6379,
    },
  ],
  {
    dnsLookup: (address, callback) => callback(null, address),
    redisOptions: {
      tls: {},
    },
  }
);

In standard mode, when you issue multiple commands, ioredis sends them to the server one by one. As described in Redis pipeline documentation, this is a suboptimal use of the network link, especially when such link is not very performant.

The TCP and network overhead negatively affects performance. Commands are stuck in the send queue until the previous ones are correctly delivered to the server. This is a problem known as Head-Of-Line blocking (HOL).

ioredis supports a feature called “auto pipelining”. It can be enabled by setting the option enableAutoPipelining to true. No other code change is necessary.

In auto pipelining mode, all commands issued during an event loop are enqueued in a pipeline automatically managed by ioredis. At the end of the iteration, the pipeline is executed and thus all commands are sent to the server at the same time.

This feature can dramatically improve throughput and avoids HOL blocking. In our benchmarks, the improvement was between 35% and 50%.

While an automatic pipeline is executing, all new commands will be enqueued in a new pipeline which will be executed as soon as the previous finishes.

When using Redis Cluster, one pipeline per node is created. Commands are assigned to pipelines according to which node serves the slot.

A pipeline will thus contain commands using different slots but that ultimately are assigned to the same node.

Note that the same slot limitation within a single command still holds, as it is a Redis limitation.

This sample code uses ioredis with automatic pipeline enabled.

const Redis = require("./built");
const http = require("http");

const db = new Redis({ enableAutoPipelining: true });

const server = http.createServer((request, response) => {
  const key = new URL(request.url, "https://localhost:3000/").searchParams.get(
    "key"
  );

  db.get(key, (err, value) => {
    response.writeHead(200, { "Content-Type": "text/plain" });
    response.end(value);
  });
});

server.listen(3000);

When Node receives requests, it schedules them to be processed in one or more iterations of the events loop.

All commands issued by requests processing during one iteration of the loop will be wrapped in a pipeline automatically created by ioredis.

In the example above, the pipeline will have the following contents:

GET key1
GET key2
GET key3
...
GET keyN

When all events in the current loop have been processed, the pipeline is executed and thus all commands are sent to the server at the same time.

While waiting for pipeline response from Redis, Node will still be able to process requests. All commands issued by request handler will be enqueued in a new automatically created pipeline. This pipeline will not be sent to the server yet.

As soon as a previous automatic pipeline has received all responses from the server, the new pipeline is immediately sent without waiting for the events loop iteration to finish.

This approach increases the utilization of the network link, reduces the TCP overhead and idle times and therefore improves throughput.

Here's some of the results of our tests for a single node.

Each iteration of the test runs 1000 random commands on the server.

And here's the same test for a cluster of 3 masters and 3 replicas:

All the errors returned by the Redis server are instances of ReplyError, which can be accessed via Redis:

const Redis = require("ioredis");
const redis = new Redis();
// This command causes a reply error since the SET command requires two arguments.
redis.set("foo", (err) => {
  err instanceof Redis.ReplyError;
});

This is the error stack of the ReplyError:

ReplyError: ERR wrong number of arguments for 'set' command
    at ReplyParser._parseResult (/app/node_modules/ioredis/lib/parsers/javascript.js:60:14)
    at ReplyParser.execute (/app/node_modules/ioredis/lib/parsers/javascript.js:178:20)
    at Socket.<anonymous> (/app/node_modules/ioredis/lib/redis/event_handler.js:99:22)
    at Socket.emit (events.js:97:17)
    at readableAddChunk (_stream_readable.js:143:16)
    at Socket.Readable.push (_stream_readable.js:106:10)
    at TCP.onread (net.js:509:20)

By default, the error stack doesn't make any sense because the whole stack happens in the ioredis module itself, not in your code. So it's not easy to find out where the error happens in your code. ioredis provides an option showFriendlyErrorStack to solve the problem. When you enable showFriendlyErrorStack, ioredis will optimize the error stack for you:

const Redis = require("ioredis");
const redis = new Redis({ showFriendlyErrorStack: true });
redis.set("foo");

And the output will be:

ReplyError: ERR wrong number of arguments for 'set' command
    at Object.<anonymous> (/app/index.js:3:7)
    at Module._compile (module.js:446:26)
    at Object.Module._extensions..js (module.js:464:10)
    at Module.load (module.js:341:32)
    at Function.Module._load (module.js:296:12)
    at Function.Module.runMain (module.js:487:10)
    at startup (node.js:111:16)
    at node.js:799:3

This time the stack tells you that the error happens on the third line in your code. Pretty sweet! However, it would decrease the performance significantly to optimize the error stack. So by default, this option is disabled and can only be used for debugging purposes. You shouldn't use this feature in a production environment.

Start a Redis server on 127.0.0.1:6379, and then:

npm test

FLUSH ALL will be invoked after each test, so make sure there's no valuable data in it before running tests.

If your testing environment does not let you spin up a Redis server ioredis-mock is a drop-in replacement you can use in your tests. It aims to behave identically to ioredis connected to a Redis server so that your integration tests is easier to write and of better quality.

You can set the DEBUG env to ioredis:* to print debug info:

$ DEBUG=ioredis:* node app.js

I'm happy to receive bug reports, fixes, documentation enhancements, and any other improvements.

And since I'm not a native English speaker, if you find any grammar mistakes in the documentation, please also let me know. :)

This project exists thanks to all the people who contribute:

MIT