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Redis Sorted Set: Check Exists (Detailed Guide w/ Code Examples)

Use Case(s)

Checking if a specific member exists in a Redis sorted set is a common operation when managing ordered data like leaderboards, task queues, and scheduling systems.

Code Examples

Python

import redis r = redis.Redis(host='localhost', port=6379, db=0) def check_member_exists(sorted_set_name, member): return r.zrank(sorted_set_name, member) is not None # Example usage exists = check_member_exists('my_sorted_set', 'member1') print(exists)

Node.js

const redis = require('redis'); const client = redis.createClient(); function checkMemberExists(sortedSetName, member, callback) { client.zrank(sortedSetName, member, (err, rank) => { if (err) throw err; callback(rank !== null); }); } // Example usage checkMemberExists('my_sorted_set', 'member1', (exists) => { console.log(exists); });

Golang

package main import ( "fmt" "github.com/go-redis/redis/v8" "context" ) var ctx = context.Background() func checkMemberExists(client *redis.Client, sortedSetName string, member string) (bool, error) { rank, err := client.ZRank(ctx, sortedSetName, member).Result() if err == redis.Nil { return false, nil } if err != nil { return false, err } return rank >= 0, nil } func main() { rdb := redis.NewClient(&redis.Options{ Addr: "localhost:6379", }) exists, err := checkMemberExists(rdb, "my_sorted_set", "member1") if err != nil { panic(err) } fmt.Println(exists) }

Best Practices

  • Always handle the potential for nil or errors when querying Redis to avoid runtime exceptions.
  • Use connection pooling for efficiency when dealing with Redis in high-throughput applications.

Common Mistakes

  • Forgetting to check for both nil and other possible errors.
  • Not using context timeouts when working with Redis in Golang, which can lead to resource leakage.

FAQs

Q: Why use zrank to check for existence instead of another command?

A: zrank provides an efficient way to determine if a member exists by checking its rank. If the member does not exist, it returns nil.

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Dragonfly is fully compatible with the Redis ecosystem and requires no code changes to implement.