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Apache Tomcat might be a bit more popular than Dadroit JSON Viewer. We know about 14 links to it since March 2021 and only 10 links to Dadroit JSON Viewer. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Manual instrumentation allows you to define your Spans within the code itself rather than relying on automatic instrumentation finding the entry point for a trace. Manual instrumentation is especially helpful for applications that don’t use an application server such as Tomcat, JBoss, or Jetty. - Source: dev.to / 6 months ago
99% is a huge exaggeration. Two essential deployment tools off the top of my head: Https://tomcat.apache.org/ Https://docs.jboss.org/author/display/AS71/Developer%20Guide.html. Source: about 1 year ago
Do we still enjoy it? We are running many Vaadin apps in production since that first one. If there are not any specific requirements we use a “modular monolith” concept, which fits our stack best. We pack applications as WAR and deploy them under Apache Tomcat. And yes, we enjoy the development process. It’s very straightforward and Vaadin and SpringBoot fit together well. - Source: dev.to / over 1 year ago
JasperReports Server Community requires a Java application server and a database to create a repository in order to work properly. After downloading JRS, the installation process can install Tomcat server and PostgreSQL database automatically for us and the services will run depending on the Jasper server. It's also possible to connect JRS to services already installed on the server. Moreover, while the free... - Source: dev.to / over 1 year ago
Don't use an installed copy of Tomcat. The layout can be different than expected and permission problems can appear at the worst time. For one, it needs to be able to write to that conf directory. Download a non-platform-specific "core" zip file from tomcat.apache.org instead. Source: over 1 year ago
For anyone interested in exploring the data yourself, here are a few tools https://dadroit.com/: desktop tool for processing large JSON files.There’s a free version so you can get pretty far with it if you’re patient https://www.dolthub.com/repositories/dolthub/quest: they’re running a bounty program for some healthcare providers to process the machine readable files, and have some useful code snippets in case... - Source: Hacker News / over 1 year ago
Note for people who don't know much about FreePascal. It is a full-featured and very fast compiler. The resulting program is a rival for the best output of C/CPP compilers. It can be used in the style of simpler languages like Go and is almost as safe as Rust in a much faster manner. It has a great but old-looking IDE, Lazarus. It has been under active development for decades and is used for proper projects like:... - Source: Hacker News / over 1 year ago
The files are insanely large. Eventually the only way I've been able to open them is using the DADROIT large JSON viewer: http://dadroit.com (but even this only worked when I got an M1 Mac). Source: over 1 year ago
For those looking for the ability to (locally) open and query very large JSON files, Dadroit is great: https://dadroit.com. It's been a while since I used it last, but it was a life saver for me when working with JSON lines files in S3 and Kafka log dumps. A side tidbit, IIRC, it was written in Pascal. - Source: Hacker News / over 1 year ago
You can review all the contents of it, but generally, there is one big 5GB JSON file — yelp_academic_dataset_review.json it contains 6,9 🍋 JSON records. Use Dadroid to review massive JSON files. - Source: dev.to / over 1 year ago
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