Articles

Best Practices of Using JPA (Hibernate) With Kotlin

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Kotlin is great: it’s more concise and expressive than Java, it allows for safer code, and offers seamless interoperability with Java. The latter allows developers to migrate their projects to Kotlin without having to rewrite the entire codebase. Such migrations are one of the reasons why we might have to work with JPA in Kotlin. Picking JPA for a fresh Kotlin application also makes sense, as it is a mature technology familiar to the developers.

There is no JPA without entities, and defining them in Kotlin comes with some caveats. Let’s look at how to avoid the common pitfalls and make the most of using Kotlin. Spoiler alert: data classes are not the best option for entity classes.

This article will be mostly focused on Hibernate as it is undoubtedly the leader among all JPA implementations.

Source de l’article sur DZONE

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Scaling Databases With EclipseLink And Redis

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Overview

EclipseLink has two types of caches: the shared cache (L2) maintains objects read from database; and the isolated cache (L1) holds objects for various operations during the lifecycle of a transaction. L2 lifecycle is tied to a particular JVM and spans multiple transactions. Cache coordination between different JVMs is off by default. EclipseLink provides a distributed cache coordination feature that you can enable to ensure data in distributed applications remains current. Both L1 and L2 cache store domain objects.

“Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.” — redis.io

Source de l’article sur DZONE

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