Tag: Kotlin

Kotlin is improved based on Stream. Not a few programmers are trying to use Kotlin instead of SQL. The issue is that Kotlin, which is also a compiled language, lacks special data objects and thus is much less professional than SQL in structured data computations. By contrast, SPL provides a complete set of data objects and the capability independent of databases for computing structured data. Actually, the SPL programming language is the truly structured data computation professional.

The open-source data processing languages based on JVM mainly include Kotlin, Scala and SPL. This article will compare them in many aspects to find out the one with the highest development efficiency. The applicable scenarios of this article are limited to common data processing and business logic in practice, placing emphasis on the structured data, not focusing on big data and high performance, nor involving special scenarios such as message flow and scientific computing. Basic features Applicability Kotlin was originally designed to develop more efficient Java, and is applicable to any application scenario involved in Java. In addition to common

In terms of structured data calculation outside the database, Stream has taken a step from scratch; Kotlin has slightly enhanced this capability, but the nature of the compiled language makes it impossible to go further; To really solve the problem of structured data computing outside the database, SPL, a professional structured data computing language, is needed. In java development, we often encounter the situation that it is inconvenient to use database but structured data calculation is needed. For a long time, Java has not provided a class library to deal with this situation. Even basic calculations such as sorting and

SQL has good computing ability. It is widely used during Java development to handle structured data. Yet the language is tightly bounded with databases and has architectural defects, resulting in code migration difficulty, non-hot-swappable business logic, and cost-ineffective efforts in increasing performance. Today’s application frameworks prefer to implement business logics directly in Java while using the database only for data persistence. This calls for techniques for computing structured data outside databases. Java in its early days didn’t offer class libraries for structured data computations. Hardcoding was the only choice and it was really hard. Later the high-level language released Stream

It is not rare that during Java development we encounter structured data computation scenarios where databases are unavailable or inconvenient to use. Java did not provide special class libraries to compute structured data in its early versions. We had to hardcode even basic computations, such as sorting and grouping. The development efficiency was extremely low. It later released Stream in Java8. The package features Lambda expression, chain coding and set-oriented functions, finally equipping the language with structured data computation class libraries. Stream simplifies structured data computations For example, sorting: In the above code, sorted is a set-oriented function for sorting