flink-statefun
SDKMan
flink-statefun | SDKMan | |
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18 | 160 | |
495 | 5,857 | |
1.0% | 0.7% | |
5.1 | 4.3 | |
5 months ago | 8 days ago | |
Java | Gherkin | |
Apache License 2.0 | 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.
flink-statefun
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flink-statefun VS quix-streams - a user suggested alternative
2 projects | 7 Dec 2023
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Snowflake - what are the streaming capabilities it provides?
When low latency matters you should always consider an ETL approach rather than ELT, e.g. collect data in Kafka and process using Kafka Streams/Flink in Java or Quix Streams/Bytewax in Python, then sink it to Snowflake where you can handle non-critical workloads (as is the case for 99% of BI/analytics). This way you can choose the right path for your data depending on how quickly it needs to be served.
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JR, quality Random Data from the Command line, part I
Sometimes we may need to generate random data of type 2 in different streams, so the "coherency" must also spread across different entities, think for example to referential integrity in databases. If I am generating users, products and orders to three different Kafka topics and I want to create a streaming application with Apache Flink, I definitely need data to be coherent across topics.
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Brand Lift Studies on Reddit
The Treatment and Control audiences need to be stored for future low-latency, high-reliability retrieval. Retrieval happens when we are delivering the survey, and informs the system which users to send surveys to. How is this achieved at Reddit’s scale? Users interact with ads, which generate events that are sent to our downstream systems for processing. At the output, these interactions are stored in DynamoDB as engagement records for easy access. Records are indexed on user ID and ad campaign ID to allow for efficient retrieval. The use of stream processing (Apache Flink) ensures this whole process happens within minutes, and keeps audiences up to date in real-time. The following high-level diagram summarizes the process:
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Query Real Time Data in Kafka Using SQL
Most streaming database technologies use SQL for these reasons: RisingWave, Materialize, KsqlDB, Apache Flink, and so on offering SQL interfaces. This post explains how to choose the right streaming database.
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How to choose the right streaming database
Apache Flink.
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5 Best Practices For Data Integration To Boost ROI And Efficiency
There are different ways to implement parallel dataflows, such as using parallel data processing frameworks like Apache Hadoop, Apache Spark, and Apache Flink, or using cloud-based services like Amazon EMR and Google Cloud Dataflow. It is also possible to use parallel dataflow frameworks to handle big data and distributed computing, like Apache Nifi and Apache Kafka.
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Forward Compatible Enum Values in API with Java Jackson
We’re not discussing the technical details behind the deduplication process. It could be Apache Flink, Apache Spark, or Kafka Streams. Anyway, it’s out of the scope of this article.
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Which MQTT (or similar protocol) broker for a few 10k IoT devices with quite a lot of traffic?
One can also consider https://flink.apache.org/ instead of Kafka for connecting a large number of devices.
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Apache Pulsar vs Apache Kafka - How to choose a data streaming platform
Both Kafka and Pulsar provide some kind of stream processing capability, but Kafka is much further along in that regard. Pulsar stream processing relies on the Pulsar Functions interface which is only suited for simple callbacks. On the other hand, Kafka Streams and ksqlDB are more complete solutions that could be considered replacements for Apache Spark or Apache Flink, state-of-the-art stream-processing frameworks. You could use them to build streaming applications with stateful information, sliding windows, etc.
SDKMan
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Install Asdf: One Runtime Manager to Rule All Dev Environments
I would suggest learning how to use SDKMAN: https://sdkman.io/
It will manage the JDK for you. Usage is basically this:
# Install a JDK, that version is now default
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Groovy 🎷 Cheat Sheet - 01 Say "Hello" from Groovy
Alternatively, you can use sdkman. A great tool to install your Software Development Kit. The downside is that it only works on *nix systems. So for Widnows users, you will have to use WSL or Cygwin as the official page suggests. It is really simple to use sdkman. after a successful installation, just type those commands into your *nix shell:
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Java Microservices with Spring Boot and Spring Cloud
To run the example, you must install the Auth0 CLI and create an Auth0 account. If you don't have an Auth0 account, sign up for free. I recommend using SDKMAN! to install Java 17+ and HTTPie for making HTTP requests.
- Criando ambiente de desenvolvimento Java no Windows - sem wsl
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Installing and managing Java on macOS
Another option for installing Java is SDKMAN!, a versatile tool that’s easy to install and helps you manage multiple versions of Java.
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Build a Beautiful CRUD App with Spring Boot and Angular
Java 17
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Authentication for Spring Boot App with Authgear and OAuth2
Java 17 or higher. You can use SDKMAN! to install Java if you don't have it already.
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Creating a Ktor Server with Gradle and SDKMAN!: A Step-by-Step Guide
Ktor, a powerful web framework built with Kotlin, offers a lightweight and flexible solution for building web applications. In this article, we will guide you through the process of creating a Ktor project manually using Gradle and SDKMAN!. By following the steps below, you'll have a basic Ktor project up and running in no time.
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First time Linux user
If you have any tips/advice then I'm all ears. I've already modified the dnf.conf with fastmirror and max_parallel_downloads I'm currently not using sdkman because this is my personal machine, so I don't mind always using the latest version OpenJDK. If I ever do need to switch between versions then I'll switch over to sdkman instead.
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MOOC.fi question - Is there a way to automatically default to JDK 17 to where I don't have to set up an SDK every single time?
For handling your JDK: I highly recommend purging your system of all JDKs/JRMs - get rid of it all - and download SDK (if you're using Windows, you'll need to do this through WSL). This tool manages software development kits very well; switching between JDKs is super straightforward: sdk use .
What are some alternatives?
opensky-api - Python and Java bindings for the OpenSky Network REST API
jenv - Manage your Java environment
Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing
asdf - Extendable version manager with support for Ruby, Node.js, Elixir, Erlang & more
debezium - Change data capture for a variety of databases. Please log issues at https://issues.redhat.com/browse/DBZ.
jabba - (cross-platform) Java Version Manager
redpanda - Redpanda is a streaming data platform for developers. Kafka API compatible. 10x faster. No ZooKeeper. No JVM!
Homebrew-cask - 🍻 A CLI workflow for the administration of macOS applications distributed as binaries
Apache Pulsar - Apache Pulsar - distributed pub-sub messaging system
nvm - Node Version Manager - POSIX-compliant bash script to manage multiple active node.js versions
faust - Python Stream Processing. A Faust fork
asdf-nodejs - Node.js plugin for asdf version manager