The purpose of this article is not to help with integration but rather to elaborate on the technicalities of the process: the exact implementations of warning suppression mechanisms and pros and cons of each approach.
In my opinion transaction management is a really important topic for each backend developer. In general, people don’t pay attention to it while using Spring framework.
But I think, it is important to know how to use transactions properly. Because sometimes can happen that there was an exception thrown inside your method, but transaction was not rolled back and it is not clear why? Or some other “strange” cases.
Academic data warehouse design recommends keeping everything in a normalized form, with links between. Then the roll forward of changes in relational math will provide a reliable repository with transaction support. Atomicity, Consistency, Isolation, Durability — that's all. In other words, the storage is explicitly built to safely update the data. But it is not optimal for searching, especially with a broad gesture on the tables and fields. We need indices, a lot of indices! Volumes expand, recording slows down. SQL LIKE can not be indexed, and JOIN GROUP BY sends us to meditate in the query planner.
PXE is a great solution for booting a diskless computer (or a computer without an OS installed). This method is often used for terminal stations and OS mass installation.
Stock ubuntu (16.04) in pxe-mode can mount rootfs only from NFS. But this is not a great idea: any difficulties with the network/NFS server and the user gets problems.
In my opinion, it's best to use other protocols, such as http/ftp. Once booting, you will have an independent system
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How can I easily test my MongoDB multi-document transaction code without setting up MongoDB on my device? One might argue that they have to set it up first because in order to carry out such a transaction it needs a session which requires a replica set. Thankfully, there is no need to create a 3-node replica set and we can run these transactions only against a single database instance.
I strain to make the far-off echo yield
A cue to the events that may come in my day.
(‘Doctor Zhivago’, Boris Pasternak)
I’ll be honest: I don’t write in pure C that often anymore and I haven’t been following the language’s development for a long time. However, two unexpected things happened recently: С won back the title of the most popular programming language according to TIOBE, and the first truly interesting book in years on this language was published. So, I decided to spend a few evenings studying material on C2x, the future version of C.
Here I will share with you what I consider to be its most interesting new features.
You will learn and implement a microservice in COBOL without Mainframe. You will structure the project, manage dependencies, implement automatic tests and build virtualized execution environment. Finally, you will publish the microservice on GitHub under Continuous Integration workflow.
Modern IDEs are very powerful tools that can help developers in all kinds of situations. Unfortunately, much of this power is often lost because many functions remain unknown to developers, hiding in the shadows.
Did you know that when you press F2 in IntelliJ IDEA, the cursor will jump to the nearest error in the file? And in the absence of an error – to the nearest warning? It seems that this is a secret only a few people know about.
Structural search and replace is one such pair of features. They can be extremely useful in situations where a whole variety of other functions can’t quite get the job done.
In this post, I will present some of these situations and go beyond artificial cases by demonstrating examples of real code from two projects:
In fact, it is this second project that encouraged me to write this post but I’m getting ahead of myself. First things first...