emulambda
shadow
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emulambda
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Week of Java: Part 2: Setting Up Your Local Development Environment
That situation made me realize that I needed a local solution. Currently in the market you can find a lot of options like Emulambda or Eucalyptus. But maybe the most complete and stable (at least for AWS) products in the market are SAM Local and LocalStack. But which one should I use? Maybe both? What are the pros and cons of each one?
shadow
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JavaFX Window Icon Not Stacking in Taskbar
So: I am making a JavaFX application to act as a remote console for my server. I'm the only person that will have a copy of it, so it doesn't need to be snazzy or 100% efficient. I have turned the project into a jar via ShadowJar, turned that into an EXE via Launch4j, and yesterday turned that into an installer via Inno.
- Help building fat jar of ktor server
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Unable to launch generated jar file for deployment; unable to use packr
I’ve never tried this and I I’m not libgdx expert, but you can try running a Uber jar with shadow. it’s the Gradle equivalent of the shade plug-in for maven builds.
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How to avoid having Java w/Maven pick the wrong dependencies
When you get into a situation where you need to sandbox a dependency within another, including this example, where you want each of your dependencies to get its own unique instance of their dependency, you can "shadow" the dependency that is to be sandboxed this way. Look into https://github.com/johnrengelman/shadow.
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Apache Commons in my mod
Try using the shadow plugin for gradle https://github.com/johnrengelman/shadow
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Gradle shadowJar gives a warning or doesn't apply
and also apparently, it's a problem with shadowJar itself https://github.com/johnrengelman/shadow/issues/713
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Week of Java: Part 2: Setting Up Your Local Development Environment
Behind the scenes, Shadow creates a FatJar with all the things we may need in the future.
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Week of Java: Part 1: Setting Up the Project
Note: **According to Serverless documentation you can use the command **serverless deploy -v. However, with Java-based-projects that’s not true because it needs to create a Fatjar with all the needed requirements (so the command will fail). By default, Serverless will set **shadow** as a dependency in the gradle file for those purposes. The deploy command will generate a build file called -all.jar that is the one that’s going to be uploaded to the AWS Lambda function.
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Apache Spark, Hive, and Spring Boot — Testing Guide
The result .jar is going to submitted to Apache Spark cluster (e.g. spark-submit command). So, it should contain all runtime artefacts. Unfortunately, the standard Spring Boot packaging does not put the dependencies in the way Apache Spark expects it. So, we'll use shadow-jar Gradle plugin. Take a look at the example below.
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How do you cope with the monstrosity that is Gradle?
I've writen many Kotlin+Gradle projects that produce jars without the shadow plugin. They're not fat, shaded, standalone executable jars though - is that what you need?
What are some alternatives?
awscli-local - 💲 "awslocal" - Thin wrapper around the "aws" command line interface for use with LocalStack
jib - 🏗 Build container images for your Java applications.
serverless-sam - Serverless framework plugin to export AWS SAM templates for a service
Aerospike - Aerospike Database Server – flash-optimized, in-memory, nosql database
serverless-localstack - Serverless Plugin for running against Atalssian Localstack.
MetaView - A tool to parse Kotlin code into UML diagrams
aws-cloudformation-coverage-roadmap - The AWS CloudFormation Public Coverage Roadmap
jpkg - Lightweight JVM packaging plugin for Gradle
aws-sam-local - CLI tool to build, test, debug, and deploy Serverless applications using AWS SAM [Moved to: https://github.com/aws/aws-sam-cli]
gradle-jooq-plugin - Gradle plugin that integrates jOOQ.
terraform - Terraform enables you to safely and predictably create, change, and improve infrastructure. It is a source-available tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned.