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Redis session store with Java and Jedis

Implement a Redis-backed session store in Java with Jedis

This guide shows you how to implement a Redis-backed session store in Java with Jedis. It includes a small local web server built with Java's built-in HttpServer so you can see the session lifecycle end to end.

Overview

Session storage is a common Redis use case for web applications. Instead of keeping session state in local process memory, you store it in Redis and send the browser only an opaque session ID in a cookie.

That gives you:

In this example, each session is stored as a Redis hash with a key like session:{session_id}. The hash holds lightweight fields such as the username, page view count, timestamps, and the configured session TTL. The key also has an expiration so inactive sessions are removed automatically.

How it works

The flow looks like this:

  1. A user submits a login form
  2. The server generates a random session ID with Java's SecureRandom
  3. The server stores session data in Redis under session:{id}
  4. The server sends a sid cookie containing only the session ID
  5. Later requests read the cookie, load the hash from Redis, and refresh the TTL
  6. Logging out deletes the Redis key and clears the cookie

Because the cookie only contains an opaque identifier, the browser never receives the actual session data. That stays in Redis.

The Java session store

The RedisSessionStore class wraps the basic session operations (source):

import java.util.Map;
import redis.clients.jedis.JedisPool;

public class Main {
    public static void main(String[] args) {
        JedisPool jedisPool = new JedisPool("localhost", 6379);
        RedisSessionStore store = new RedisSessionStore(jedisPool, "session:", 1800);

        String sessionId = store.createSession(Map.of(
                "username", "andrew",
                "page_views", "0"
        ), null);

        Map<String, String> session = store.getSession(sessionId, true);
        System.out.println(session.get("username"));

        store.incrementField(sessionId, "page_views", 1);
        store.deleteSession(sessionId);
        jedisPool.close();
    }
}

Jedis operations are synchronous, and JedisPool gives you safe connection reuse across requests.

Data model

Each session is stored in a Redis hash:

session:abc123...
  username = andrew
  page_views = 3
  session_ttl = 15
  created_at = 2026-04-02T12:34:56+00:00
  last_accessed_at = 2026-04-02T12:40:10+00:00

The implementation uses:

The store treats created_at, last_accessed_at, and session_ttl as reserved internal fields, so caller-provided session data cannot overwrite them.

Session store implementation

The createSession() method generates a random session ID, writes the initial hash fields, and sets the TTL:

public String createSession(Map<String, String> data, Integer ttl) {
    String sessionId = randomSessionId();
    String key = sessionKey(sessionId);
    String now = timestamp();
    int sessionTtl = normalizeTtl(ttl);

    Map<String, String> payload = new HashMap<>();
    if (data != null) {
        for (Map.Entry<String, String> entry : data.entrySet()) {
            if (!RESERVED_SESSION_FIELDS.contains(entry.getKey())) {
                payload.put(entry.getKey(), String.valueOf(entry.getValue()));
            }
        }
    }

    payload.put("created_at", now);
    payload.put("last_accessed_at", now);
    payload.put("session_ttl", String.valueOf(sessionTtl));

    try (Jedis jedis = jedisPool.getResource()) {
        Pipeline pipeline = jedis.pipelined();
        pipeline.hset(key, payload);
        pipeline.expire(key, sessionTtl);
        pipeline.sync();
    }

    return sessionId;
}

When the application reads a session, it refreshes the configured TTL so active users stay logged in:

public Map<String, String> getSession(String sessionId, boolean refreshTtl) {
    String key = sessionKey(sessionId);

    try (Jedis jedis = jedisPool.getResource()) {
        Map<String, String> session = jedis.hgetAll(key);
        if (!isValidSession(session)) {
            return null;
        }

        if (!refreshTtl) {
            return session;
        }

        int sessionTtl = normalizeTtl(Integer.valueOf(session.get("session_ttl")));
        Pipeline pipeline = jedis.pipelined();
        pipeline.hset(key, "last_accessed_at", timestamp());
        pipeline.expire(key, sessionTtl);
        Response<Map<String, String>> refreshed = pipeline.hgetAll(key);
        pipeline.sync();

        return isValidSession(refreshed.get()) ? refreshed.get() : null;
    }
}

This is a simple and effective pattern for many apps. For more complex requirements, you might add separate metadata keys, rotate session IDs after login, or store less frequently accessed data elsewhere.

Prerequisites

Before running the demo, make sure that:

If your Redis server is running elsewhere, start the demo with --redis-host and --redis-port.

Running the demo

A local demo server is included to show the session store in action (source):

javac -cp jedis-5.2.0.jar RedisSessionStore.java DemoServer.java
java -cp .:jedis-5.2.0.jar DemoServer

The demo server uses standard Java libraries for HTTP handling:

It exposes a small interactive page where you can:

After starting the server, visit http://localhost:8080.

Cookie handling

The browser cookie should contain only the session ID:

exchange.getResponseHeaders().add(
        "Set-Cookie",
        "sid=" + sessionId + "; Path=/; HttpOnly; SameSite=Lax"
);

Avoid storing user profiles, roles, or other sensitive session data directly in cookies. Keep that information in Redis and let the cookie act only as a lookup token.

Production usage

This guide uses a deliberately small local demo so you can focus on the Redis session pattern. In production, you will usually want to harden the cookie, session lifecycle, and deployment details around it.

Secure the session cookie

Set cookie attributes that match your deployment and threat model:

Keep session data lightweight

Redis-backed sessions work best when each session stores small, frequently accessed values:

Handle expiration deliberately

Sliding expiration is convenient, but it also defines how long a hijacked cookie remains useful. For production apps, consider:

Use a framework integration where appropriate

This example keeps everything explicit so you can see the Redis session pattern clearly. In a real app, you will often wrap the same Redis operations behind middleware for Spring MVC, Spring Boot, Micronaut, or another Java web framework.

Next steps

You now have a complete Redis-backed session example in Java using Jedis. From here you can:

For more Redis data modeling patterns, see:

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