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The article explains how to reduce latency in SparkStreaming jobs that heavily interact with Redis by using connection pools, batch sizing, pipeline techniques, and custom JedisCluster pipelines, while also covering Redis deployment modes, Codis proxy, and practical Java/Scala code examples.
The article explains how to use Apache Commons Pool to create reusable object pools in Java—showing Maven setup, a custom PooledObjectFactory, pool configuration, borrowing and returning objects, and demonstrates a Redis Jedis connection pool built on the same framework while detailing the pool’s initialization, borrowing, and return mechanisms.
This article introduces the lightweight Lua scripting language, outlines its key features and typical use cases, and provides a complete example of using Redis together with Lua scripts (and a Java client) to enforce IP‑based login‑attempt limits for improved security.
This article explains the principles of object pooling in Java, introduces the Commons Pool 2 library and its use in Redis client Jedis, compares pool and non‑pool performance with JMH benchmarks, and details the fast HikariCP database connection pool along with configuration tips and interview questions.
This article introduces RediSearch, compares its memory usage and query performance with Elasticsearch on modest hardware, shows installation steps, demonstrates core index commands and Java integration, and concludes with practical advice on using RediSearch as a lightweight full‑text search engine.
Jedis uses Apache Commons’ GenericObjectPool to manage Redis connections, with Spring‑Data‑Redis creating a JedisConnectionFactory that holds a configurable pool where borrowObject and returnObject handle idle queues, eviction and validation settings (testOnBorrow, testWhileIdle, etc.) can be tuned, and JMX metrics aid troubleshooting.
This article walks through a production incident where a Redis Cluster pipeline caused Dubbo threads to block and eventually deadlock, detailing the root‑cause analysis, code inspection, and verification steps using jstack, jmap, and MAT to confirm the deadlock and propose fixes.
The article details a week‑long investigation of a sandbox environment where Spring Boot APIs became unresponsive due to Redis connection pool blocking, describing the use of system tools, JVM thread analysis, and code inspection to identify mis‑configured pool settings and recommending proper connection handling with Spring's RedisTemplate.
This article examines a Redis 3.x cluster failure caused by a master‑slave switch, detailing how improper Jedis timeout and retry settings triggered a service avalanche, and provides step‑by‑step analysis of the incident, code paths, and recommended configuration adjustments to prevent recurrence.
The article details how a Dubbo thread‑pool exhaustion incident was traced to a deadlock in Redis Cluster pipeline usage, caused by Jedis pools lacking a borrow timeout, which let threads block indefinitely while holding cross‑node connections, and recommends configuring maxWaitMillis or enlarging the pool to prevent recurrence.
During a Redis 3.x cluster master‑slave failover, the default Jedis connection timeout of two seconds combined with six automatic retries caused each request’s Redis calls to accumulate up to sixty seconds of latency, triggering Nginx timeouts and a service‑avalanche, which was resolved by lowering timeout and retry settings.
A service‑wide avalanche occurred when a Redis 3.x master‑slave failover coincided with Jedis’ default 2‑second connection timeout and six retry attempts, causing up to 60‑second latencies; adjusting connectionTimeout, soTimeout to 100 ms and reducing maxAttempts to two limited latency to about one second and prevented cascade failures.
This article explains the principles of object pooling in Java, introduces the Commons Pool 2 library, demonstrates its use with Redis client Jedis, compares performance with JMH benchmarks, and discusses the high‑performance HikariCP database connection pool, including configuration tips and interview questions.
This article explains the principles of object pooling in Java, introduces the Commons Pool 2 library, demonstrates its use with Redis client Jedis, compares performance with JMH benchmarks, and details the configuration and advantages of the high‑performance HikariCP database connection pool.
This article compares the three popular Redis Java clients—Jedis, Redisson, and Lettuce—detailing their features, advantages, drawbacks, and providing practical recommendations and code examples for selecting and configuring the best client in Spring Boot applications.
This article compares three popular Java Redis clients—Jedis, Lettuce, and Redisson—detailing their advantages, drawbacks, and recommended usage scenarios, helping developers select the most suitable client based on performance, thread safety, and advanced Redis features such as clustering, sentinel, and distributed locks.
This article compares the Java Redis clients Jedis, Redisson, and Lettuce, explains their core differences, and provides detailed Spring Boot configuration and code examples for using each client, including RedisTemplate, RedissonClient, and annotation‑based caching.
This article explains how object pooling in Java—using Commons Pool 2, the Jedis Redis client, and the HikariCP database connection pool—can dramatically improve performance by reusing expensive resources, detailing key configuration parameters, benchmark results, and practical tuning advice.
This article introduces Redis Stream—a persistent message queue added in Redis 5.0—and demonstrates how to set up dependencies, use Java Jedis to perform core operations such as XADD, XTRIM, XDEL, XLEN, XREAD, and XRANGE, with complete code examples for each.
This article compares the Java Redis clients Jedis, Redisson, and Lettuce, explains their distinct features and thread‑safety models, and provides detailed Spring Boot configuration and code examples for using RedisTemplate, RedissonClient, and annotation‑based caching to implement distributed locks, hash operations, and cache management.