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apache/flink: Apache Flink - GitHub

Deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn... GearpumpLightweight real-time big data streaming engine over Akka SaaSHubwww.saashub.comfeaturedSaaSHub - Software Alternatives and Reviews.SaaSHub helps you find the best software and product alternativesNOTE:The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.Hence, a higher number means a better Apache Flink alternative or higher similarity.Apache Flink discussionApache Flink reviews and mentions Posts with mentions or reviews of Apache Flink. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2025-03-06.Exploring the Power and Community Behind Apache Flink2 projects|dev.to|6 Mar 2025In conclusion, Apache Flink is more than a big data processing tool—it is a thriving ecosystem that exemplifies the power of open source collaboration. From its impressive technical capabilities to its innovative funding model, Apache Flink shows that sustainable software development is possible when community, corporate support, and transparency converge. As industries continue to demand efficient real-time data processing solutions, the future looks bright for Apache Flink. Whether you’re a developer, business analyst, or technology enthusiast, understanding the dynamics behind Apache Flink provides valuable insights into the evolving landscape of open source software. For further exploration of this subject, visit the official Apache Flink website or explore the comprehensive details hosted by the Apache Software Foundation.Stay tuned for more articles that delve into how open source models are shaping the future of technology. Happy coding!Automating Enhanced Due Diligence in Regulated Applications9 projects|dev.to|13 Feb 2025For real-time data streaming and analysis, tools like Apache Kafka and Apache Flink

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Are popular choices.What is RocksDB (and its role in streaming)?3 projects|dev.to|13 May 2024You can find example of usage in org/apache/flink/contrib/streaming/state package ( 15 Open Source Advent projects16 projects|dev.to|15 Dec 20237. Apache Flink | Github | tutorialPyflink : Flink DataStream (KafkaSource) API to consume from KafkaDoes anyone have fully running Pyflink code snippet to read from Kafka using the new Flink DataStream (KafkaSource) API and just print out the output to console or write it out to a file. Most of the examples and the official Flink GitHubare using the old API (FlinkKafkaConsumer).I keep getting build failure when I try to run mvn clean compile packageI'm trying to use to analyze the ck metrics of I have the latest version of java downloaded and I have the latest version of apache maven downloaded too. My environment variables are set correctly. I'm in the correct directory as well. However, when I run mvn clean compile package in powershell it always says build error. I've tried looking up the errors but there's so many. I'm very new to programming in general so any suggestions would be appreciated.How do I determine what the dependencies are when I make pom.xml file?Looking at the project on github, it seems like they should have a pom in the root dir is moving away from Open Source1 project|/r/scala|7 Sep 2022Akka is used only as a possible RPC implementation, isn't it?We Are Changing the License for AkkaDeWitt Clause, or Can You Benchmark %DATABASE% and Get Away With It21 projects|dev.to|2 Jun 2022Apache Drill, Druid, Flink, Hive, Kafka, SparkA note from our sponsor - CodeRabbitcoderabbit.ai|25 Mar 2025Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.Learn more →StatsBasic Apache Flink repo statsapache/flinkis

Apache Flink Home - Apache Flink - Apache Software Foundation

Welcome to Flink, your one-stop online shop. From fresh produce and household staples to cooking essentials, we're the service that always delivers. To your door, and within minutes. Our terms of use for the Flink app apply: www.goflink.com/en/app/HOW IT WORKS:1. Download the app2. Enter your address3. Browse our selection4. Pick your favorites5. Place your order6. Enjoy speedy delivery to your door!HandyTap your way from aisle to aisle, order what you need, and have everything conveniently delivered to your home! Discover 2300+ grocery items at great prices, from fresh foods and tasty drinks to a range of household helpers.VariedTop your weekly shop with an array of fruit and veggies (organic too!), stock your pantry with snacks and essentials, replenish your cleaning cupboards, or drink your way through our wide selection of white wine and red wine, and beers from international and small local breweries.LocalSpeaking of local, we deliver bread from your favorite neighborhood bakery, salads & bowls from the young start-up next door, and organic dairy products from the traditional family-owned farm in the surrounding area.PopularAre you more into Ben & Jerry's, or maybe Coca-Cola, M&M's, Haribo, Pringles, Alpro, Oatly, and others? We have them all!ComfyWe deliver your grocery shopping directly to your door. No supermarket crowds, and no lugging bags home. Simply secure, contactless, and convenient shopping.QuickWe give you back the time you'd otherwise spend in the supermarket queue. Time to do yoga, wash some laundry, take a shower, play FIFA, or go for a power nap. Once you've ordered, you'll just about have time to brew some coffee or take the trash out before we ring your doorbell!PAYMENT METHODSAt Flink, you can pay easily and securely - by credit card, Apple Pay, PayPal, or iDEAL.DELIVERING ON YOUR SCHEDULEWhatever you need, whenever you need it. With our extended opening hours, you can make Flink fit your lifestyle and spend more time doing the things you love!Germany: Monday to Thursday 7:15/7:45 AM - 11 PM, Friday and Saturday 7:15/7:45 AM - 12 AM.Netherlands: Monday to Sunday 8 AM - 11.59 PM.France: Monday to Sunday 8 AM - 12 AM**Flink is growing fast but isn't available in all markets yet. Want us where you are? Download the app and join our waitlist. Find us on social media or visit goflink.com. Show more Show less. Apache Flink Downloads Apache Flink Apache Flink 1.20.1 is the latest stable release. Apache Flink 2.0-preview1 Apache Flink 2.0-preview1 (asc, sha512) Apache Flink HBase Apache Flink Downloads Apache Flink Apache Flink 1.20.1 is the latest stable release. Apache Flink 2.0-preview1 Apache Flink 2.0-preview1 (asc, sha512) Apache Flink Kafka

What is Apache Flink? - Apache Flink Explained - AWS

Pay-as-you-go monthly plan and commitment plan.With the pay-as-you-go monthly plan, you receive the Confluent Cloud consumption charges on your Azure monthly bill.With a commitment plan, you sign up for a minimum spend amount and get a discount on your committed usage of Confluent Cloud.You decide which billing option to use when you create the service.Subscribe to Confluent CloudYou can subscribe to this service through the Azure Marketplace's online store or through the Azure portal by searching for the service by name, Apache Kafka and Apache Flink on Confluent Cloud.Subscribe from the Azure portalBegin by signing into the Azure portal.From the Azure portal menu's global search bar, search for marketplace. Select Marketplace from the Services results.The Marketplace's Get Started page displays in the working pane.From the command bar, type the name of the service into the Search the Marketplace search bar.Choose the provider from the search results displayed in the working pane.Choose your preferred plan, then select Subscribe.The Create resource pane displays in the working pane.Next stepsQuickStart: Get started with Apache Kafka & Apache Flink on Confluent Cloud --> Feedback Additional resources In this article

apache-flink Tutorial = Getting started with apache-flink

Skip to main content This browser is no longer supported. Upgrade to Microsoft Edge to take advantage of the latest features, security updates, and technical support. What is Apache Kafka & Apache Flink on Confluent Cloud? Article01/22/2025 In this article -->Easily provision, manage, and tightly integrate independent software vendor (ISV) software and services on Azure with Azure Native integrations.Microsoft and Confluent Cloud developed this service and manage it together.You can find Apache Kafka® & Apache Flink® on Confluent Cloud™ in the Azure portal or get it on Azure Marketplace.Apache Kafka & Apache Flink on Confluent Cloud is an Azure Marketplace offering that provides Apache Kafka and Apache Flink as a fully managed service so you can focus on building your applications rather than managing the clusters.To reduce the burden of cross-platform management, Microsoft partnered with Confluent Cloud to build an integrated provisioning layer from Azure to Confluent Cloud. It provides a consolidated experience for using Confluent Cloud on Azure. You can easily integrate and manage Confluent Cloud with your Azure applications.Previously, you had to purchase the Confluent Cloud offering in the Marketplace and separately set up the account in Confluent Cloud. To manage configurations and resources, you had to navigate between the portals for Azure and Confluent Cloud.Now, you provision the Confluent Cloud resources through a resource provider named Microsoft.Confluent. You create and manage Confluent Cloud organization resources through the Azure portal, Azure CLI, or Azure SDKs. Confluent Cloud owns and runs the software as a service (SaaS) application, including the environments, clusters, topics, API keys, and managed connectors.CapabilitiesThe deep integration between Confluent Cloud and Azure enables the following capabilities:Provision a new Confluent Cloud organization resource from the Azure portal with fully managed infrastructure or link to an existing Confluent Cloud organization.Streamline single sign-on (SSO) from Azure to Confluent Cloud with Microsoft Entra ID. No separate authentication is needed from the Confluent Cloud portal.Get unified billing of Confluent Cloud consumption through Azure subscription invoicing.Manage Confluent Cloud resources from the Azure portal, and track them in the All resources page with your other Azure resources.Confluent organizationA Confluent organization is a resource that provides the mapping between the Azure and Confluent Cloud resources. It's the parent resource for other Confluent Cloud resources.Each Azure subscription can contain multiple Confluent plans. Each Confluent plan is mapped to a user account and organization in the Confluent portal. Within each Confluent organization, you can create multiple environments, clusters, topics, and connectors.When you provision a Confluent Cloud resource in Azure, you get a Confluent organization ID, default environment, and user account. For more information, see QuickStart: Get started with Confluent Cloud on Azure.Each Confluent Cloud offer purchased in the Marketplace maps to a unique Confluent organization for billing.Single sign-onWhen you sign in to the Azure portal, your credentials are also used to sign in to the Confluent Cloud SaaS portal. The experience uses Microsoft Entra ID and Microsoft Entra SSO to provide a secure and convenient way for you to sign in.BillingThere are two billing options available:

Creating a flink-connector release - Apache Flink - Apache

Services for a purpose excluded by the license.Standalone and without ksqlDB, Kafka Streams has fewer capabilities than many alternative frameworks and services, most of which have built-in streaming SQL interfaces, and all of which integrate with Azure Event Hubs today:Azure Stream AnalyticsAzure Synapse Analytics (via Event Hubs Capture)Azure DatabricksApache SamzaApache StormApache SparkApache FlinkApache Flink on HDInsight on Azure Kubernetes ServiceAkka StreamsKafka TransactionsNoteKafka Transactions is currently in Public preview in Premium, and Dedicated tier.Azure Event Hubs supports Kafka transactions. More details regarding the support and concepts is available hereCompressionNoteThe Kafka compression for Event Hubs is only supported in Premium and Dedicated tiers currently.The client-side compression feature in Apache Kafka clients conserves compute resources and bandwidth by compressing a batch of multiple messages into a single message on the producer side and decompressing the batch on the consumer side. The Apache Kafka broker treats the batch as a special message.Kafka producer application developers can enable message compression by setting the compression.type property. Azure Event Hubs currently supports gzip compression.Compression.type = none | gzipWhile the feature is only supported for Apache Kafka traffic producer and consumer traffic, AMQP consumer can consume compressed Kafka traffic as decompressed messages.Key differences between Apache Kafka and Azure Event HubsWhile Apache Kafka is software you typically need to install and operate, Event Hubs is a fully managed, cloud-native service. There are no servers, disks, or networks to manage and monitor and no brokers to consider or configure, ever. You create a namespace, which is an endpoint with a fully qualified domain name, and then you create Event Hubs (topics) within that namespace.For more information about Event Hubs and namespaces, see Event Hubs features. As a cloud service, Event Hubs uses a single stable virtual IP address as the endpoint, so clients don't need to know about the brokers or machines within a cluster. Even though Event Hubs implements the same protocol, this difference means that all Kafka traffic for all partitions is predictably routed through this one endpoint rather than requiring firewall access for all brokers of a cluster.Scale in Event Hubs is controlled by how many throughput units (TUs) or processing units you purchase. If you enable the Auto-Inflate feature for a standard tier namespace, Event Hubs automatically scales up TUs when you reach the throughput limit. This feature also works with the Apache Kafka protocol support. For a premium tier namespace, you can increase the number

Flink Internals - Apache Flink - Apache Software Foundation

Apache Flink AlternativesSimilar projects and alternatives to Apache Flink PostgreSQLMirror of the official PostgreSQL GIT repository. Note that this is just a *mirror* - we don't work with pull requests on github. To contribute, please see CodeRabbitcoderabbit.aifeaturedCodeRabbit: AI Code Reviews for Developers.Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR. PytorchTensors and Dynamic neural networks in Python with strong GPU acceleration QuestDBQuestDB is a high performance, open-source, time-series database ClickHouseClickHouse® is a real-time analytics database management system ApacheKafkaA curated re-sources list for awesome Apache Kafka Apache SparkApache Spark - A unified analytics engine for large-scale data processing SaaSHubwww.saashub.comfeaturedSaaSHub - Software Alternatives and Reviews.SaaSHub helps you find the best software and product alternatives cockroachCockroachDB — the cloud native, distributed SQL database designed for high availability, effortless scale, and control over data placement. TimescaleDBA time-series database for high-performance real-time analytics packaged as a Postgres extension cube.js📊 Cube — Universal semantic layer platform for AI, BI, spreadsheets, and embedded analytics TrinoOfficial repository of Trino, the distributed SQL query engine for big data, former label-studioLabel Studio is a multi-type data labeling and annotation tool with standardized output format RocksDBA library that provides an embeddable, persistent key-value store for fast storage. AkkaA platform to build and run apps that are elastic, agile, and resilient. SDK, libraries, and hosted environments. Camunda BPMC7 CE enters EOL in October 2025. Please check out C8 – Flexible framework for workflow and decision automation with BPMN and DMN. Integration with Quarkus, Spring, Spring Boot, CDI. PrestoThe official home of the Presto distributed SQL query engine for big data Apache DrillApache Drill is a distributed MPP query layer for self describing data (by apache) Deeplearning4jSuite of tools for deploying and training. Apache Flink Downloads Apache Flink Apache Flink 1.20.1 is the latest stable release. Apache Flink 2.0-preview1 Apache Flink 2.0-preview1 (asc, sha512) Apache Flink HBase Apache Flink Downloads Apache Flink Apache Flink 1.20.1 is the latest stable release. Apache Flink 2.0-preview1 Apache Flink 2.0-preview1 (asc, sha512) Apache Flink Kafka

Flink Translation Specifications - Apache Flink - Apache Software

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& share tool that supports 445 file formats in 13 languages.Project mention:HRConvert2 VS ConvertX - a user suggested alternative|libhunt.com/r/HRConvert2|2024-05-26 DinkToPdf 11 4 1,103 0.0 C#C# .NET Core wrapper for wkhtmltopdf library that uses Webkit engine to convert HTML pages to PDF. npm-pdfreader 12 3 666 5.6 HTML🚜 Parse text and tables from PDF files. docnet 13 1 492 3.2 C#DocNET is as fast PDF editing and reading library for modern .NET applications spacy-layout 14 1 479 8.6 Python📚 Process PDFs, Word documents and more with spaCyProject mention:AI and All Data Weekly for 09 Dec 2024|dev.to|2024-12-09❄️ Apache Polaris + Iceberg Quickstart⚡️ How to extract tables from pdfs🚀 Microsoft 1bit LLM BitNet🐿️ Verifying Kafka Transactions Entry 2🐿️ FLUSS: Streaming Storage🐿️ Fluss -> Flow for Flink Real Time Analytics🌐 TableFlow - iceberg / kafka❄️ Snowflake Cortex AI + Slack🐿️❄️ Door dash flink, kafka, snowflake🧠 Prompt Stack -- all in one🔌 SpaCY Layout for PDF📱 Responsible AI Pathways📼 Megaparse documents python🔌 Time Series LLM❄️ Generate Synthetic Data in Snowflake🐿️ LLMs and GenAI - When to use them🐿️ Flink Observability with Prometheus📡 New SQL GUI🍫 TDD for GenAI🕵️ 🎁 Open Source Agent Framework for Production💻 Cedit command line editor🏭 ServiceNow AgentLab🎤 Snowflake Lessons Learned in Replication🎄 Privastead🔌 Backup Icloud with nodejs on linux🔌 Backup Google with nodejs on linux🎄 HuggingFace macos chat source code🎁 Ollama working with structured output🎁 dspy ai how to🔌 Piazza updater🔌 Building a financial report with langgraphColPali Notebook with QWEN 2 VL chromic_pdf 15 2 440 5.4 ElixirConvenient HTML to PDF/A rendering library for Elixir based on Chrome & Ghostscript pdfCropMargins 16 1 377 6.8 PythonpdfCropMargins -- a program to crop the margins of PDF files stapler 20 3 284 0.0 PythonA small utility making use of the pypdf library to provide a (somewhat) lighter alternative to pdftk go-wkhtmltopdf 21 1 261 6.7 GoHandcrafted Go bindings for wkhtmltopdf and high-level HTML to PDF conversion interface (by adrg) pdftools 23 1 99 4.7 ShellA collection of PDF command line tools and wrappers for Linux (by uroesch) SaaSHubwww.saashub.comfeaturedSaaSHub - Software Alternatives and Reviews.SaaSHub helps you find the best software and product alternativesNOTE:The open source projects on this list are ordered by number of github stars.The number of mentions indicates repo mentiontions in the last 12 Months orsince we started tracking (Dec 2020).pdf-converter discussionpdf-converter related postsMutool – all purpose tool for dealing with PDF filesA free, unlimited online PDF converter with Privacy focusStirling-PDF: Your All-in-One PDF Solution1 project|dev.to|11 Sep 2024Show HN: I made a privacy-friendly and free image, audio and video converterA small lathe built in a Japanese prison campParsing PDFs in Node.js5 projects|dev.to|12 Mar 2024How is the PDF reading experience after 3.4 update?A note from our sponsor - CodeRabbitcoderabbit.ai|18 Mar 2025Revolutionize your code. Apache Flink Downloads Apache Flink Apache Flink 1.20.1 is the latest stable release. Apache Flink 2.0-preview1 Apache Flink 2.0-preview1 (asc, sha512) Apache Flink HBase

The State of Flink on Docker - Apache Flink

前面几篇文章带大家了解了 Flink 是什么、能做什么，本篇将带大家了解 Flink 究竟是如何完成这些的，Flink 本身架构是什么样的，让大家先对 Flink 有整体认知，便于后期理解。一、Flink 组件栈Flink是一个分层架构的系统，每一层所包含的组件都提供了特定的抽象，用来服务于上层组件。Flink分层的组件栈如下图所示：Deployment 层该层主要涉及了Flink的部署模式，Flink支持多种部署模式：本地、集群（Standalone/YARN）云（GCE/EC2）Standalone部署模式与Spark类似。我们看一下Flink on YARN的部署模式，如下图所示：通过上图可以看到，YARN AM 与 Flink JobManager 在同一个 Container 中，这样 AM 可以知道 Flink JobManager 的地址，从而 AM 可以申请 Container 去启动 Flink TaskManager。待 Flink 成功运行在 YARN 集群上，Flink YARN Client 就可以提交 Flink Job 到 Flink JobManager，并进行后续的映射、调度和计算处理。Runtime层Runtime 层提供了支持 Flink 计算的全部核心实现，比如：支持分布式 Stream 处理JobGraph 到 ExecutionGraph 的映射、调度等等，为上层API层提供基础服务。API层API 层主要实现了面向无界 Stream 的流处理和面向 Batch 的批处理 API。其中面向流处理对应 DataStream API，面向批处理对应 DataSet API。Libraries 层该层也可以称为 Flink 应用框架层，根据 API 层的划分，在 API 层之上构建的满足特定应用的实现计算框架，也分别对应于面向流处理和面向批处理两类。面向流处理支持：CEP（复杂事件处理）、基于 SQL-like 的操作（基于 Table 的关系操作）；面向批处理支持：FlinkML（机器学习库）、Gelly（图处理）。二、Flink 集群架构主要为 Runtime 层细分。Flink 的通用系统架构如下图所示。用户在客户端提交作业（Job）到服务端。服务端为分布式的主从架构。Dispatcher 服务负责提供 REST 接口来接收 Client 提交的 Job，运行 Web UI，并负责启动和派发 Job 给 JobManager。Resource Manager 负责计算资源（TaskManager）的管理，其调度单位是 slots。JobManager 负责整个集群的任务管理、资源管理、协调应用程序的分布执行，将任务调度到 TaskManager 执行、检查点（checkpoint）的创建等工作。TaskManager（worker）负责 SubTask 的实际执行，提供一定数量的 Slots，Slots 数就是 TM 可以并发执行的task数。当服务端的 JobManager 接收到一个 Job 后，会按照各个算子的并发度将 Job 拆分成多个 SubTask，并分配到 TaskManager 的 Slot 上执行。任务的提交流程如下所示：三、编程模型（API层次结构）主要为 API & Library 层细分。Flink提供了不同层次的接口，方便开发者灵活的开发流处理、批处理应用，根据接口使用的便捷性、表达能力的强弱分为四层：最底层提供了有状态流：可以自定义状态信息和处理逻辑，但是也需要你自己管理状态的生命周期，容错，一致性等问题。核心开发层：包括 DataStream API 和 DataSet API，它们提供了常见的数据转换，分组，聚合，窗口，状态等操作。这个层级的 api 适合大多数的流式和批式处理的场景。声明式 DSL 层：是以表为中心的声明式 DSL，其中表可能会动态变化（在表达流数据时）。Table API 提供了例如 select、project、join、group-by、aggregate 等操作结构化层：SQL API，它是最高层的 api，可以直接使用 SQL 语句进行数据处理，无需编写 Java 或 Scala 代码。这个层级的 api 适合需要快速响应业务需求，缩短上线周期，和自动调优的场景，但也最不灵活和最不具有表现力。四、Flink 数据流图前一篇《WordCount 实现》文章中，我们写了一个入门程序，那么代码中的输入、输出、计算等算子是如何与上面的概念对应起来的呢？程序由多个 DataStream API 组成，这些 API，又被称为算子 （Operator），共同组成了逻辑视角。在实际执行过程中，逻辑视角会被计算引擎翻译成可并行的物理视角。在实际执行过程中，这些 API 或者说这些算子是并行地执行的。分区：在大数据领域，当数据量大到超过单台机器处理能力时，就将一份数据切分到多个分区（pattition）上，每个分区分布在一个虚拟机或物理机。并行：从物理视角上看，每个算子是并行的，一个算子有一个或多个算子子任务（Subtask），每个算子子任务只处理一小部分数据，所有算子子任务共同组成了一个算子。根据算子所做的任务不同，算子子任务的个数可能也不同。独立：算子子任务是相互独立的，一个算子子任务有自己的线程，不同算子子任务可能分布在不同的物理机或虚拟机上。数据交换：直传：source -> map，数据完全传递重分配：map -> keyBy，数据按照一定方式重新分配到多个算子中聚合：keyBy -> sink，多个算子的输出数据合并到一个算子中五、小结本篇文章从 Flink 组件栈开始，介绍 Flink 的分层架构，然后对每一层（Deploment、Runtime、API）进行了细致的讲解，说明每一层的作用和架构。最后对 Flink 数据流图进行了讲解，说明 Flink 代码是如何对应到具体执行的 task 的。通过本篇讲解带大家了解了 Flink 整体架构，对 Flink 工作结构有了一个基础的认知，后面将会对每个 Flink 核心概念和组件进行细致的讲解。参考文章：Flink CookBook—Apach Flink核心知识介绍Flink架构及工作原理介绍 - Workspace of LionHeartFlink 架构 - 官方文档God-Of-BigData/大数据框架学习/Flink核心概念综述.md at master · wangzhiwubigdata/God-Of-BigData