Aerospike
shadow
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Aerospike | shadow | |
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15 | 15 | |
971 | 3,553 | |
3.0% | - | |
8.7 | 0.0 | |
27 days ago | 5 days ago | |
C | Groovy | |
GNU General Public License v3.0 or later | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Aerospike
- Ask HN: Why are there no open source NVMe-native key value stores in 2023?
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Aerospike Driver for LINQPad
Aerospike for LINQPad 7 is a data context dynamic driver for interactively querying and updating an Aerospike database using “LINQPad”. The driver is free. For more information go to this blog post. You can directly download the driver from the LINQPad NuGet manager.
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Using In-Memory Databases in Data Science
Aerospike is a real-time cloud structured platform with good performance capabilities. This IMDB platform allows enterprises to perform their operations in real time through the hybrid memory and parallelism model.
- System Design: Caching, Content Delivery Networks (CDN) & Proxies.
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Block and Filesystem side-by-side with K8s and Aerospike
Block storage stores a sequence of bytes in a fixed size block (page) on a storage device. Each block has a unique hash that references the address location of the specified block. Unlike a filesystem, block storage doesn't have the associated metadata such as format-type, owner, date, etc. Also, block storage doesn’t use the conventional storage paths to access data like a filesystem file. This reduction in overhead contributes to improved overall access speeds when using raw block devices. The ability to store bytes in blocks allows applications the flexibility to decide how these blocks are accessed and managed, making block storage an ideal choice for low latency databases such as Aerospike. From a developer's perspective, a block device is simply a large array of bytes, usually with some minimum granularity for reads and writes. In Aerospike this granularity is configured and referred to as the write-block-size. The Aerospike Kubernetes Operator uses the storage infrastructure software inside of Kubernetes and the need for data platforms to use raw block storage becomes ever more important.
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Aerospike & IoT using MQTT
This example shows how the Aerospike database can be easily and scalably used to store industrial time series data made available by the MQTT ecosystem. Aerospike plus its Community Time Series Client streamlines the storage and retrieval of the data, supporting the ability to both write and read millions of data points per second if required.
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Building Large-Scale Real-Time JSON Applications
Real-time large-scale JSON applications need reliably fast access to data, high ingest rates, powerful queries, rich document functionality, scalability with no practical limit, always-on operation, and integration with streaming and analytical platforms. They need all this at low cost. The Aerospike Real-time Data Platform provides all this functionality, making it a good choice for building such applications. The Collection Data Types (CDTs) in Aerospike provide powerful support for modeling, organizing, and querying a large JSON document store. Visit the tutorials and code sandbox on the Developer Hub to explore the capabilities of the platform, and play with the Document API and query capabilities for JSON.
- System Design: NoSQL databases
- System Design: Caching
- Aerospike named to Inc. 5000 list of fastest-growing companies in America.
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?
dragonfly - A modern replacement for Redis and Memcached
jib - 🏗 Build container images for your Java applications.
Redis - Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.
MetaView - A tool to parse Kotlin code into UML diagrams
yugabyte-db - YugabyteDB - the cloud native distributed SQL database for mission-critical applications.
jpkg - Lightweight JVM packaging plugin for Gradle
ClickHouse - ClickHouse® is a free analytics DBMS for big data
gradle-jooq-plugin - Gradle plugin that integrates jOOQ.
neon - Neon: Serverless Postgres. We separated storage and compute to offer autoscaling, branching, and bottomless storage.
emulambda
ydb - YDB is an open source Distributed SQL Database that combines high availability and scalability with strong consistency and ACID transactions
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]