tag dict | content listlengths 1 139 |
|---|---|
{
"category": "App Definition and Development",
"file_name": "docs.crunchybridge.com.md",
"project_name": "Crunchy Postgres Operator",
"subcategory": "Database"
} | [
{
"data": "Home Changelog Connecting Getting started Migrating to Crunchy Bridge Concepts How to Insights and metrics Guides and best practices Troubleshooting Extensions Analytics Citus Container apps API concepts API reference Crunchy Bridge is a fully managed Postgres service from Crunchy Data. It takes care... |
{
"category": "App Definition and Development",
"file_name": "index.html.md",
"project_name": "Couchbase",
"subcategory": "Database"
} | [
{
"data": "Couchbase Capella is the easiest way to use the Couchbase NoSQL database and its many services, from SQL-like querying to connecting to mobile devices at the edge with our App Server. Sign up todayor read on to help you choose which service fits your app. New here? Take the tour, and see what Couchba... |
{
"category": "App Definition and Development",
"file_name": "why-couchbase.html.md",
"project_name": "Couchbase",
"subcategory": "Database"
} | [
{
"data": "Please use the form below to provide your feedback. Because your feedback is valuable to us, the information you submit in this form is recorded in our issue tracking system (JIRA), which is publicly available. You can track the status of your feedback using the ticket number displayed in the dialog ... |
{
"category": "App Definition and Development",
"file_name": "getting-started.md",
"project_name": "Crux",
"subcategory": "Database"
} | [
{
"data": "If you want to avoid running your own XTDB server locally, you can instantly play with inserting data and querying XTDB right now using the XT Play website. XTDB is built for traditional client-server interactions over HTTP. You can start an XTDB server using the following Docker image: ``` docker ru... |
{
"category": "App Definition and Development",
"file_name": "concepts.md",
"project_name": "Crux",
"subcategory": "Database"
} | [
{
"data": "XTDB is a database built on top of columnar storage (using Apache Arrow) and is designed to handle evolving, semi-structured data via SQL natively, avoiding the need for workarounds like JSONB columns and audit tables. In XTDB all data, including nested data, is able to be stored in tables without cl... |
{
"category": "App Definition and Development",
"file_name": "what-is-xtdb.md",
"project_name": "Crux",
"subcategory": "Database"
} | [
{
"data": "XTDB is a 'bitemporal' and 'dynamic' relational database for handling regulated data. XTDB is a transactional system designed for powering applications while also being amenable to analytical querying thanks to its internal columnar architecture built on Apache Arrow. XTDB is open source and runs on ... |
{
"category": "App Definition and Development",
"file_name": ".md",
"project_name": "Doris",
"subcategory": "Database"
} | [
{
"data": "Apache Doris is a high-performance, real-time analytic database based on the MPP architecture and is known for its extreme speed and ease of use. It takes only sub-second response times to return query results under massive amounts of data, and can support not only highly concurrent point query scena... |
{
"category": "App Definition and Development",
"file_name": "what-is-apache-doris.md",
"project_name": "Doris",
"subcategory": "Database"
} | [
{
"data": "Apache Doris is an MPP-based real-time data warehouse known for its high query speed. For queries on large datasets, it returns results in sub-seconds. It supports both high-concurrent point queries and high-throughput complex analysis. It can be used for report analysis, ad-hoc queries, unified data... |
{
"category": "App Definition and Development",
"file_name": ".md",
"project_name": "GreptimeDB",
"subcategory": "Database"
} | [
{
"data": "English English Overview Overview GreptimeDB Standalone GreptimeDB Cluster GreptimeDB Dashboard Overview MySQL InfluxDB Line Protocol Go Java Python Node.js Vector Prometheus Overview Overview Why GreptimeDB Data Model Architecture Storage Location Key Concepts Features that You Concern Overview Auth... |
{
"category": "App Definition and Development",
"file_name": "docs.md",
"project_name": "GraphScope",
"subcategory": "Database"
} | [
{
"data": "Overview Installation & Deployment GraphScope Flex Graph Analytical Engine Graph Interactive Engine Graph Learning Engine Storage Engine Troubleshooting & Utilities Development Reference GraphScope is a unified distributed graph computing platform that provides a one-stop environment for performing d... |
{
"category": "App Definition and Development",
"file_name": ".md",
"project_name": "Druid",
"subcategory": "Database"
} | [
{
"data": "This quickstart helps you install Apache Druid and introduces you to Druid ingestion and query features. For this tutorial, you need a machine with at least 6 GiB of RAM. In this quickstart, you'll: Druid supports a variety of ingestion options. Once you're done with this tutorial, refer to the Inges... |
{
"category": "App Definition and Development",
"file_name": "resp-endpoint.md",
"project_name": "Infinispan",
"subcategory": "Database"
} | [
{
"data": "Infinispan Server includes an endpoint that implements the RESP3 protocol and allows you to interact with remote caches using Redis clients. The RESP endpoint is enabled by default on the single-port endpoint. Redis client connections will automatically be detected and routed to the internal connecto... |
{
"category": "App Definition and Development",
"file_name": "infinispanvs.md",
"project_name": "Infinispan",
"subcategory": "Database"
} | [
{
"data": "Infinispan is an open-source key-value data grid, it can work as single node as well as distributed. Vector search is supported since release 15.x For more: Infinispan Home ``` To run this demo we need a running Infinispan instance without authentication and a data file. In the next three cells we're... |
{
"category": "App Definition and Development",
"file_name": "introduction.md",
"project_name": "KubeBlocks by ApeCloud",
"subcategory": "Database"
} | [
{
"data": "KubeBlocks is an open-source control plane software that runs and manages databases, message queues and other data infrastructure on K8s. The name KubeBlocks is inspired by Kubernetes and LEGO blocks, signifying that running and managing data infrastructure on K8s can be standard and productive, like... |
{
"category": "App Definition and Development",
"file_name": ".md",
"project_name": "KubeDB by AppsCode",
"subcategory": "Database"
} | [
{
"data": "We use cookies and other similar technology to collect data to improve your experience on our site, as described in our Privacy Policy. Run Production-Grade Databases on Kubernetes Backup and Recovery Solution for Kubernetes Run Production-Grade Vault on Kubernetes Secure Ingress Controller for Kuber... |
{
"category": "App Definition and Development",
"file_name": ".md",
"project_name": "Microsoft SQL Server",
"subcategory": "Database"
} | [
{
"data": "This browser is no longer supported. Upgrade to Microsoft Edge to take advantage of the latest features, security updates, and technical support. Documentation Search for in-depth articles on Microsoft developer tools and technologies. Index Explore guides and articles by product. Get your businesses... |
{
"category": "App Definition and Development",
"file_name": ".md",
"project_name": "MariaDB",
"subcategory": "Database"
} | [
{
"data": "Keyboard users: Escape to exit. MariaDB Documentation / MariaDB ColumnStore (Analytics)MariaDB Server (SQL Database Server)MariaDB SkySQL previous releaseMariaDB SkySQL DBaaSMariaDB SkySQLMariaDB SkySQL ObservabilityMariaDB SkySQL Cloud BackupMariaDB GeospatialMariaDB Xpand (Distributed SQL) MariaDB ... |
{
"category": "App Definition and Development",
"file_name": "docs.md",
"project_name": "KubeDB by AppsCode",
"subcategory": "Database"
} | [
{
"data": "Run Production-Grade Databases on Kubernetes Backup and Recovery Solution for Kubernetes Run Production-Grade Vault on Kubernetes Secure Ingress Controller for Kubernetes Kubernetes Configuration Syncer Kubernetes Authentication WebHook Server KubeDB simplifies Provisioning, Upgrading, Scaling, Volum... |
{
"category": "App Definition and Development",
"file_name": ".md",
"project_name": "MongoDB",
"subcategory": "Database"
} | [
{
"data": "Welcome to the official MongoDB Documentation. Whether youre a developer, database administrator, or just starting your journey with MongoDB, our documentation provides you with the information and knowledge needed to build applications on MongoDB and the Atlas developer data platform. MongoDB Atlas ... |
{
"category": "App Definition and Development",
"file_name": "github-privacy-statement.md",
"project_name": "NomsDB",
"subcategory": "Database"
} | [
{
"data": "Effective date: February 1, 2024 Welcome to the GitHub Privacy Statement. This is where we describe how we handle your Personal Data, which is information that is directly linked or can be linked to you. It applies to the Personal Data that GitHub, Inc. or GitHub B.V., processes as the Data Controlle... |
{
"category": "App Definition and Development",
"file_name": "docs.github.com.md",
"project_name": "NomsDB",
"subcategory": "Database"
} | [
{
"data": "Help for wherever you are on your GitHub journey. At the heart of GitHub is an open-source version control system (VCS) called Git. Git is responsible for everything GitHub-related that happens locally on your computer. You can connect to GitHub using the Secure Shell Protocol (SSH), which provides a... |
{
"category": "App Definition and Development",
"file_name": ".md",
"project_name": "Neo4j",
"subcategory": "Database"
} | [
{
"data": "Is this page helpful? 2024 License: Creative Commons 4.0 The manual covers the following areas: IntroductionAn introduction to the Neo4j Graph Data Science library. InstallationInstructions for how to install and use the Neo4j Graph Data Science library. Common usageGeneral usage patterns and recomme... |
{
"category": "App Definition and Development",
"file_name": "understanding-github-code-search-syntax.md",
"project_name": "NomsDB",
"subcategory": "Database"
} | [
{
"data": "You can build search queries for the results you want with specialized code qualifiers, regular expressions, and boolean operations. The search syntax in this article only applies to searching code with GitHub code search. Note that the syntax and qualifiers for searching for non-code content, such a... |
{
"category": "App Definition and Development",
"file_name": "github-terms-of-service.md",
"project_name": "NomsDB",
"subcategory": "Database"
} | [
{
"data": "You can build search queries for the results you want with specialized code qualifiers, regular expressions, and boolean operations. The search syntax in this article only applies to searching code with GitHub code search. Note that the syntax and qualifiers for searching for non-code content, such a... |
{
"category": "App Definition and Development",
"file_name": "introduction-to-oracle-database.html#GUID-166C1E31-CDBC-47D9-867A-3D4C9AAC837D.md",
"project_name": "Oracle Database",
"subcategory": "Database"
} | [
{
"data": "This chapter provides an overview of Oracle Database. This chapter contains the following topics: About Relational Databases Schema Objects Data Access Transaction Management Oracle Database Architecture Oracle Database Documentation Roadmap Every organization has information that it must store and m... |
{
"category": "App Definition and Development",
"file_name": "3.0.x.md",
"project_name": "OrientDB",
"subcategory": "Database"
} | [
{
"data": "Welcome to OrientDB - the first Multi-Model Open Source NoSQL DBMS that brings together the power of graphs and the flexibility of documents into one scalable high-performance operational database. | Getting Started | Main Topics | Developers | |:-|:|:| | Introduction to OrientDB | Basic Concepts | S... |
{
"category": "App Definition and Development",
"file_name": "sql.html#GUID-CBD8FE77-BA6F-4241-A71C-2ADDDF43EA7F.md",
"project_name": "Oracle Database",
"subcategory": "Database"
} | [
{
"data": "This chapter provides an overview of the Structured Query Language (SQL) and how Oracle Database processes SQL statements. Parent topic: Oracle Data Access SQL (pronounced sequel) is the set-based, high-level declarative computer language with which all programs and users access data in an Oracle dat... |
{
"category": "App Definition and Development",
"file_name": ".md",
"project_name": "Qubole",
"subcategory": "Database"
} | [
{
"data": "Important We would like to publicly and unequivocally acknowledge that a few words and phrases in terminology used in our industry and subsequently adopted by Qubole over the last decade is insensitive, non-inclusive, and harmful. We are committed to inclusivity and correcting these terms and the neg... |
{
"category": "App Definition and Development",
"file_name": "release-13-15.html.md",
"project_name": "PostgreSQL",
"subcategory": "Database"
} | [
{
"data": "| initdb | initdb.1 | initdb.2 | initdb.3 | initdb.4 | |:|:--|:-|:--|:--| | Prev | Up | PostgreSQL Server Applications | Home | Next | initdb create a new PostgreSQL database cluster initdb [option...] [ --pgdata | -D ] directory initdb creates a new PostgreSQL database cluster. Creating a database c... |
{
"category": "App Definition and Development",
"file_name": "__ga=2.206060435.1678453019.1688754812-253506922.1688754810.md",
"project_name": "Qubole",
"subcategory": "Database"
} | [
{
"data": "Important We would like to publicly and unequivocally acknowledge that a few words and phrases in terminology used in our industry and subsequently adopted by Qubole over the last decade is insensitive, non-inclusive, and harmful. We are committed to inclusivity and correcting these terms and the neg... |
{
"category": "App Definition and Development",
"file_name": ".md",
"project_name": "RethinkDB",
"subcategory": "Database"
} | [
{
"data": "JavaScript Ruby Python Java These drivers have been updated to use the JSON driver protocol and at least RethinkDB 2.0 ReQL. C# bchavez C# mfenniak C++ Clojure Common Lisp Dart Delphi Elixir Erlang Go Haskell JS neumino Lua Nim Perl PHP R Rust Swift Crystal These drivers may not support all of Rethin... |
{
"category": "App Definition and Development",
"file_name": "cookbook.md",
"project_name": "RethinkDB",
"subcategory": "Database"
} | [
{
"data": "ReQL is the RethinkDB query language. It offers a very powerful and convenient way to manipulate JSON documents. This document is a gentle introduction to ReQL concepts. You dont have to read it to be productive with RethinkDB, but it helps to understand some basics. Want to write useful queries righ... |
{
"category": "App Definition and Development",
"file_name": "quickstart.md",
"project_name": "RethinkDB",
"subcategory": "Database"
} | [
{
"data": "JavaScript Ruby Python Java These drivers have been updated to use the JSON driver protocol and at least RethinkDB 2.0 ReQL. C# bchavez C# mfenniak C++ Clojure Common Lisp Dart Delphi Elixir Erlang Go Haskell JS neumino Lua Nim Perl PHP R Rust Swift Crystal These drivers may not support all of Rethin... |
{
"category": "App Definition and Development",
"file_name": ".md",
"project_name": "Redis",
"subcategory": "Database"
} | [
{
"data": "Optimizing Pokmon GO with a Redis Enterprise cluster Learn what you need to go from beginner to GenAI expert Optimizing Pokmon GO with a Redis Enterprise cluster Learn what you need to go from beginner to GenAI expert Understand how to use Redis as a document database This quick start guide shows you... |
{
"category": "App Definition and Development",
"file_name": "kubectl.md",
"project_name": "SchemaHero",
"subcategory": "Database"
} | [
{
"data": "SchemaHero has 2 different components: an in-cluster Kubernetes Operator and a client side kubectl plugin that you can use to interact with the operator. The best way to get started is to install the kubectl plugin: The SchemaHero client component is packaged as a kubectl plugin, and distributed thro... |
{
"category": "App Definition and Development",
"file_name": "docs.singlestore.com.md",
"project_name": "SingleStore",
"subcategory": "Database"
} | [
{
"data": "Getting Started with SingleStore Helios Connect to Your Workspace Create a Database Integrate with SingleStore Helios Load Data Query Data Manage Data Developer Resources User and Workspace Administration Security Reference Release Notes Support Glossary Learn to develop for SingleStore Helios, the d... |
{
"category": "App Definition and Development",
"file_name": "what-is-seata.md",
"project_name": "Seata",
"subcategory": "Database"
} | [
{
"data": "Seata is an open source distributed transaction solution dedicated to providing high performance and easy to use distributed transaction services. Seata will provide users with AT, TCC, SAGA, and XA transaction models to create a one-stop distributed solution for users. Evolution from the two phases ... |
{
"category": "App Definition and Development",
"file_name": "docs.md",
"project_name": "SpiceDB",
"subcategory": "Database"
} | [
{
"data": "On This Page Welcome to the official documentation for the SpiceDB ecosystem. SpiceDB is an open source, Google Zanzibar (opens in a new tab)-inspired database system for real-time, security-critical application permissions. Developers create and apply a schema (opens in a new tab) that models their ... |
{
"category": "App Definition and Development",
"file_name": ".md",
"project_name": "SingleStore",
"subcategory": "Database"
} | [
{
"data": "Getting Started with SingleStore Helios Connect to Your Workspace Create a Database Integrate with SingleStore Helios Load Data Query Data Manage Data Developer Resources User and Workspace Administration Security Reference Release Notes SingleStore Helios Release Notes 8.7 Release Notes 8.5 Release ... |
{
"category": "App Definition and Development",
"file_name": ".md",
"project_name": "TDengine",
"subcategory": "Database"
} | [
{
"data": "TDengine.Connector is the C# language connector provided by TDengine. C# developers can use it to develop C# application software that accesses TDengine cluster data. TDengine.Connector provides 2 connection types. For a detailed introduction of the connection types, please refer to: Establish Connec... |
{
"category": "App Definition and Development",
"file_name": "docs.tdengine.com.md",
"project_name": "TDengine",
"subcategory": "Database"
} | [
{
"data": "TDengine is an open-source, cloud-native time-series database optimized for the Internet of Things (IoT), Connected Cars, and Industrial IoT. It enables efficient, real-time data ingestion, processing, and monitoring of TB and even PB scale data per day, generated by billions of sensors and data coll... |
{
"category": "App Definition and Development",
"file_name": "glossary#new-enemy-problem.md",
"project_name": "SpiceDB",
"subcategory": "Database"
} | [
{
"data": "On This Page SpiceDB is developed as an Apache 2.0-licensed (opens in a new tab) open-source, community-first effort. Large contributions must follow a proposal and feedback process regardless of whether the authors are maintainers, AuthZed employees, or brand new to the community. Other AuthZed open... |
{
"category": "App Definition and Development",
"file_name": ".md",
"project_name": "Timescale",
"subcategory": "Database"
} | [
{
"data": "Timescale is a database platform engineered to deliver speed and scale to resource-intensive workloads, which makes it great for things like time series, event, and analytics data. Timescale is built on PostgreSQL, so you have access to the entire PostgreSQL ecosystem, with a user-friendly interface ... |
{
"category": "App Definition and Development",
"file_name": "release-notes.md",
"project_name": "Timescale",
"subcategory": "Database"
} | [
{
"data": "This page contains release notes for TimescaleDB2.10.0 and newer. For release notes for older versions, see the past releases section. Want to stay up-to-date with new releases? You can subscribe to new releases on GitHub and be notified by email whenever a new release is available. On the Github pag... |
{
"category": "App Definition and Development",
"file_name": "about-continuous-aggregates.md",
"project_name": "Timescale",
"subcategory": "Database"
} | [
{
"data": "Time-series data usually grows very quickly. And that means that aggregating the data into useful summaries can become very slow. Continuous aggregates makes aggregating data lightning fast. If you are collecting data very frequently, you might want to aggregate your data into minutes or hours instea... |
{
"category": "App Definition and Development",
"file_name": "docs.md",
"project_name": "Vald",
"subcategory": "Database"
} | [
{
"data": "This document will introduce you to the example of what Vald can do. Vald is a highly scalable distributed fast approximate nearest neighbor dense vector search engine, which uses NGT as the core engine of Vald, and Vald manages to integrate with Kubernetes. You cannot generally search your unstructu... |
{
"category": "App Definition and Development",
"file_name": "about-vald.md",
"project_name": "Vald",
"subcategory": "Database"
} | [
{
"data": "This document will introduce you to the example of what Vald can do. Vald is a highly scalable distributed fast approximate nearest neighbor dense vector search engine, which uses NGT as the core engine of Vald, and Vald manages to integrate with Kubernetes. You cannot generally search your unstructu... |
{
"category": "App Definition and Development",
"file_name": "configuration.md",
"project_name": "Vald",
"subcategory": "Database"
} | [
{
"data": "This page introduces best practices for setting up values for the Vald Helm Chart. Before reading, please read the overview of Vald Helm Chart in its README. It is highly recommended to specify the Vald version. You can specify the image version by setting image.tag field in each component ([componen... |
{
"category": "App Definition and Development",
"file_name": "tutorials.md",
"project_name": "Timescale",
"subcategory": "Database"
} | [
{
"data": "Timescale tutorials are designed to help you get up and running with Timescale fast. They walk you through a variety of scenarios using example datasets, to teach you how to construct interesting queries, find out what information your database has hidden in it, and even gives you options for visuali... |
{
"category": "App Definition and Development",
"file_name": "local.md",
"project_name": "Vitess",
"subcategory": "Database"
} | [
{
"data": "Local Install Instructions for using Vitess on your machine for testing purposes This guide covers installing Vitess locally for testing purposes, from pre-compiled binaries. We will launch multiple copies of mysqld, so it is recommended to have greater than 4GB RAM, as well as 20GB of available disk... |
{
"category": "App Definition and Development",
"file_name": "docs.md",
"project_name": "Vitess",
"subcategory": "Database"
} | [
{
"data": "Documentation Get involved with Vitess development Debug common issues with Vitess Frequently Asked Questions about Vitess Learn about how Vitess releases work Additional resources including Presentations and Roadmap Collection of Vitess design docs Under construction, development release. Everything... |
{
"category": "App Definition and Development",
"file_name": ".md",
"project_name": "YDB",
"subcategory": "Database"
} | [
{
"data": "JSON is a lightweight data-interchange format. In YQL, it's represented by the Json type. Unlike relational tables, JSON can store data with no schema defined. Here is an example of a valid JSON object: ``` [ { \"name\": \"Jim Holden\", \"age\": 30 }, { \"name\": \"Naomi Nagata\", \"age\": \"twenty y... |
{
"category": "App Definition and Development",
"file_name": "quickstart.md",
"project_name": "YDB",
"subcategory": "Database"
} | [
{
"data": "In this guide, you will install a single-node local YDB cluster and execute simple queries against your database. Normally, YDB stores data on multiple SSD/NVMe or HDD raw disk devices without any filesystem. However, for simplicity, this guide emulates disks in RAM or using a file in a regular files... |
{
"category": "App Definition and Development",
"file_name": "get-started.md",
"project_name": "Vald",
"subcategory": "Database"
} | [
{
"data": "There is a list of documents about Vald.Let's try to check the documents that you want to know. Overview shows the concept of Vald and mentions the top level design of Vald. Tutorial takes you Vald World!!!You can deploy Vald in your Kubernetes cluster and running Vald with sample code. Usecase suppo... |
{
"category": "App Definition and Development",
"file_name": "topic.md",
"project_name": "YDB",
"subcategory": "Database"
} | [
{
"data": "A topic in YDB is an entity for storing unstructured messages and delivering them to multiple subscribers. Basically, a topic is a named set of messages. A producer app writes messages to a topic. Consumer apps are independent of each other, they receive and read messages from the topic in the order ... |
{
"category": "App Definition and Development",
"file_name": "ydb_docker.md",
"project_name": "YDB",
"subcategory": "Database"
} | [
{
"data": "In this guide, you will install a single-node local YDB cluster and execute simple queries against your database. Normally, YDB stores data on multiple SSD/NVMe or HDD raw disk devices without any filesystem. However, for simplicity, this guide emulates disks in RAM or using a file in a regular files... |
{
"category": "App Definition and Development",
"file_name": "table#olap-data-types.md",
"project_name": "YDB",
"subcategory": "Database"
} | [
{
"data": "A table is a relational table containing a set of related data, composed of rows and columns. Tables represent entities. For instance, a blog article can be represented by a table named article with columns: id, date_create, title, author, body and so on. Rows in the table hold the data, while column... |
{
"category": "App Definition and Development",
"file_name": ".md",
"project_name": "Apache RocketMQ",
"subcategory": "Streaming & Messaging"
} | [
{
"data": "During Ali's nascent days of RocketMQ, we used it for asynchronous communications, search, social networking activity flows, data pipelines, and trade processes. As our trade business throughput rose, the pressure originating from our messaging cluster became urgent. According to our research, the Ac... |
{
"category": "App Definition and Development",
"file_name": "operator.md",
"project_name": "Vitess",
"subcategory": "Database"
} | [
{
"data": "Vitess Operator for Kubernetes PlanetScale provides a Vitess Operator for Kubernetes, released under the Apache 2.0 license. The following steps show how to get started using Minikube: Before we get started, lets get a few pre-requisites out of the way: Install Docker Engine locally. Install Minikube... |
{
"category": "App Definition and Development",
"file_name": ".md",
"project_name": "YugabyteDB",
"subcategory": "Database"
} | [
{
"data": "Try our Experimental-AI powered search above! YugabyteDB is a high-performance distributed SQL database for powering global, internet-scale applications. Built using a unique combination of high-performance document store, per-shard distributed consensus replication and multi-shard ACID transactions ... |
{
"category": "App Definition and Development",
"file_name": "01main.md",
"project_name": "Apache RocketMQ",
"subcategory": "Streaming & Messaging"
} | [
{
"data": "This section will describe steps to quickly deploy a RocketMQ cluster with a single node; Commands to send and receive messages to/from it are also included as proof of work. Apache RocketMQ is distributed both in binary and source packages. Click here to download Apache RocketMQ 5.2.0 source package... |
{
"category": "App Definition and Development",
"file_name": ".md",
"project_name": "Apache StreamPipes",
"subcategory": "Streaming & Messaging"
} | [
{
"data": "StreamPipes Connect is the module to connect external data sources with Apache StreamPipes directly from the user interface. StreamPipes Connect offers various adapters for common communication protocols and some specific sensors. Besides connecting data, StreamPipes Connect offers ways to pre-proces... |
{
"category": "App Definition and Development",
"file_name": "sql-ref-ansi-compliance.html.md",
"project_name": "Apache Spark",
"subcategory": "Streaming & Messaging"
} | [
{
"data": "In Spark SQL, there are two options to comply with the SQL standard: spark.sql.ansi.enabled and spark.sql.storeAssignmentPolicy (See a table below for details). When spark.sql.ansi.enabled is set to true, Spark SQL uses an ANSI compliant dialect instead of being Hive compliant. For example, Spark wil... |
{
"category": "App Definition and Development",
"file_name": "01how-to-contribute.md",
"project_name": "Apache RocketMQ",
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{
"data": "Apache RocketMQ Open and sharing open source community, sincerely invite you to join. Ways of community communication and contribution: Apache RocketMQ community provides a complete process to help you answer your questions. You can ask questions through User mailing list and Stack Overflow #rocketmq... |
{
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"file_name": "4-using-online-machine-learning-on-a-streampipes-data-stream.md",
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"data": "The last tutorial (Getting live data from the StreamPipes data stream) showed how we can connect to a data stream, and it would be possible to use Online Machine Learning with this approach and train a model with the incoming events at the onEvent method. However, the StreamPipes client also provides... |
{
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"data": "AutoMQ is a next-generation distribution of Apache Kafka, re-engineered with cloud-native principles and fully compatible with Apache Kafka protocols and functionalities. In its technical design, AutoMQ leverages the compute layer code from Apache Kafka, implementing only minimal modifications at the... |
{
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"data": "AutoMQ is a cutting-edge distribution of Apache Kafka, reengineered with cloud-native principles, offering up to a 10-fold improvement in cost efficiency and elasticity while maintaining full compatibility with the Apache Kafka protocol. This article primarily explores the key differences and relatio... |
{
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"data": "Dependency issue with StreamPipes Python 0.92.0 In StreamPipes Python 0.92.0 there is a problem with the required dependencies. Pydantic has recently released the new version 2.0 with many exciting improvements, but also some breaking changes. Unfortunately, we didn't limit our requirements strictly ... |
{
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"data": "Welcome to the CDEvents specification documentation for release v0.4.1. Here, you can find all the information necessary to understand and implement CDEvents within your application. For those new to CDEvents, we recommend starting with the White Paper and the Primer, to help you rapidly understand t... |
{
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"data": "Deploying AutoMQ on a single-machine environment provides an opportunity to explore message sending, receiving, and partition reassignment features. Linux/Mac/Windows Subsystem for Linux Docker Docker Compose version > 2.22.0 At least 8GB of free memory If you encounter slow download speeds for conta... |
{
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"data": "Amazon Managed Service for Apache Flink was previously known as Amazon Kinesis Data Analytics for Apache Flink. In this exercise, you create a Managed Service for Apache Flink application that transforms data using Apache Beam. Apache Beam is a programming model for processing streaming data. For inf... |
{
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"file_name": "docs.md",
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{
"data": "Welcome to the CDEvents specification documentation for release v0.4.1. Here, you can find all the information necessary to understand and implement CDEvents within your application. For those new to CDEvents, we recommend starting with the White Paper and the Primer, to help you rapidly understand t... |
{
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"data": "Eventarc lets you asynchronously deliver events from Google services, SaaS, and your own apps using loosely coupled services that react to state changes. Eventarc requires no infrastructure management you can optimize productivity and costs while building a modern, event-driven solution. Learn more Q... |
{
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"data": "Knative Eventing is a collection of APIs that enable you to use an event-driven architecture with your applications. You can use these APIs to create components that route events from event producers (known as sources) to event consumers (known as sinks) that receive events. Sinks can also be configu... |
{
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"data": "English English Appearance What's New Feature Comparison Get Started Operating Limitations FAQ Technical Support Product Roadmap Deploy Debian Ubuntu CentOS/RHEL macOS Kubernetes Install from Source Code Rolling Upgrade Upgrade EMQX Cluster from 4.4 to 5.1 Upgrade EMQX on Kubernetes MQTT Core Concept... |
{
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"data": "English English Appearance What's New Feature Comparison Get Started Operating Limitations FAQ Technical Support Product Roadmap Deploy Debian Ubuntu CentOS/RHEL macOS Kubernetes Install from Source Code Rolling Upgrade Upgrade EMQX Cluster from 4.4 to 5.1 Upgrade EMQX on Kubernetes MQTT Core Concept... |
{
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"data": "English English Appearance What's New Feature Comparison Get Started Operating Limitations FAQ Technical Support Product Roadmap Deploy Debian Ubuntu CentOS/RHEL macOS Kubernetes Install from Source Code Rolling Upgrade Upgrade EMQX Cluster from 4.4 to 5.1 Upgrade EMQX on Kubernetes MQTT Core Concept... |
{
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"data": "English English Appearance What's New Feature Comparison Get Started Operating Limitations FAQ Technical Support Product Roadmap Deploy Debian Ubuntu CentOS/RHEL macOS Kubernetes Install from Source Code Rolling Upgrade Upgrade EMQX Cluster from 4.4 to 5.1 Upgrade EMQX on Kubernetes MQTT Core Concept... |
{
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"data": "English English Appearance What's New Feature Comparison Get Started Operating Limitations FAQ Technical Support Product Roadmap Deploy Debian Ubuntu CentOS/RHEL macOS Kubernetes Install from Source Code Rolling Upgrade Upgrade EMQX Cluster from 4.4 to 5.1 Upgrade EMQX on Kubernetes MQTT Core Concept... |
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"data": "English English Appearance What's New Feature Comparison Get Started Operating Limitations FAQ Technical Support Product Roadmap Deploy Debian Ubuntu CentOS/RHEL macOS Kubernetes Install from Source Code Rolling Upgrade Upgrade EMQX Cluster from 4.4 to 5.1 Upgrade EMQX on Kubernetes MQTT Core Concept... |
{
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"data": "v2.3.0 Flink ML is a library which provides machine learning (ML) APIs and infrastructures that simplify the building of ML pipelines. Users can implement ML algorithms with the standard ML APIs and further use these infrastructures to build ML pipelines for both training and inference jobs. If youre... |
{
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"data": "Fluvio is an open-source data streaming platform that aggregates, correlates, and apply programmable intelligence to data in motion. Written in Rust, Fluvio provides low-latency, high-performance programmable streaming on cloud-native architecture. SmartModules, powered by WebAssembly, provide users ... |
{
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"data": "v1.19.0 Welcome to Flink! :) Flink is designed to process continuous streams of data at a lightning fast pace. This short guide will show you how to download the latest stable version of Flink, install, and run it. You will also run an example Flink job and view it in the web UI. Flink runs on all UN... |
{
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"data": "v3.2.0 Stateful Functions is an API that simplifies the building of distributed stateful applications with a runtime built for serverless architectures. It brings together the benefits of stateful stream processing - the processing of large datasets with low latency and bounded resource constraints -... |
{
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"file_name": "flink-cdc-docs-stable.md",
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"data": "v1.19.0 This training presents an introduction to Apache Flink that includes just enough to get you started writing scalable streaming ETL, analytics, and event-driven applications, while leaving out a lot of (ultimately important) details. The focus is on providing straightforward introductions to F... |
{
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"data": "Dataflow is a Google Cloud service that provides unified stream and batch data processing at scale. Use Dataflow to create data pipelines that read from one or more sources, transform the data, and write the data to a destination. Typical use cases for Dataflow include the following: Dataflow uses th... |
{
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{
"data": "``` with pipeline as p: predictions = ( p | beam.ReadFromSource('a_source') | RunInference(MODEL_HANDLER)) ``` ``` with beam.Pipeline() as p: transformed_data = ( p | beam.Create(data) | MLTransform(...) | beam.Map(print)) ``` Except as otherwise noted, the content of this page is licensed under the ... |
{
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"file_name": "gpu.md",
"project_name": "Google Cloud Dataflow",
"subcategory": "Streaming & Messaging"
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{
"data": "Dataflow templates allow you to package a Dataflow pipeline for deployment. Anyone with the correct permissions can then use the template to deploy the packaged pipeline. You can create your own custom Dataflow templates, and Google provides pre-built templates for common scenarios. Templates have se... |
{
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"file_name": "dataflow-sql-ui-walkthrough.md",
"project_name": "Google Cloud Dataflow",
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{
"data": "Dataflow is a Google Cloud service that provides unified stream and batch data processing at scale. Use Dataflow to create data pipelines that read from one or more sources, transform the data, and write the data to a destination. Typical use cases for Dataflow include the following: Dataflow uses th... |
{
"category": "App Definition and Development",
"file_name": "provided-streaming#datastream-to-bigquery.md",
"project_name": "Google Cloud Dataflow",
"subcategory": "Streaming & Messaging"
} | [
{
"data": "Dataflow templates allow you to package a Dataflow pipeline for deployment. Anyone with the correct permissions can then use the template to deploy the packaged pipeline. You can create your own custom Dataflow templates, and Google provides pre-built templates for common scenarios. Templates have se... |
{
"category": "App Definition and Development",
"file_name": "installing-beam-sdk.md",
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{
"data": "Apache Beam SDK 2.x for Java API reference on the Apache Beam documentation site. Apache Beam SDK 2.x for Python API reference on the Apache Beam documentation site. Apache Beam SDK 2.x for Go API reference on the Go site. Dataflow REST API reference documentation. Dataflow RPC reference documentatio... |
{
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"file_name": "quotas.md",
"project_name": "Google Cloud Dataflow",
"subcategory": "Streaming & Messaging"
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{
"data": "This tutorialshows you how to use Dataflow SQL to join a stream of data from Pub/Sub with data from a BigQuery table. In this tutorial, you: In this document, you use the following billable components of Google Cloud: To generate a cost estimate based on your projected usage, use the pricing calculat... |
{
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"file_name": "tutorials_doctype=quickstart.md",
"project_name": "Google Cloud Dataflow",
"subcategory": "Streaming & Messaging"
} | [
{
"data": "Get started using Google Cloud by trying one of our product quickstarts, tutorials, or interactive walkthroughs. Get started with Google Cloud quickstarts Whether you're looking to deploy a web app, set up a database, or run big data workloads, it can be challenging to get started. Luckily, Google Cl... |
{
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"file_name": "tutorials#%22dataflow%22.md",
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{
"data": "This page contains media articles, videos and podcasts related to Dataflow. This page contains pricing information for using Dataflow. This page provides information on the resource quotas associated with using Dataflow. Release notes that pertain to Dataflow. Links to the Apache Beam release notes. ... |
{
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"file_name": "molecules-walkthrough.md",
"project_name": "Google Cloud Dataflow",
"subcategory": "Streaming & Messaging"
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{
"data": "Config Connector is an open source Kubernetes add-on that lets you manage Google Cloud resources through Kubernetes. Many cloud-native development teams work with a mix of configuration systems, APIs, and tools to manage their infrastructure. This mix is often difficult to understand, leading to redu... |
{
"category": "App Definition and Development",
"file_name": "github-terms-of-service.md",
"project_name": "Koperator",
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{
"data": "As highlighted in the features section, Koperator removed the reliance on StatefulSet,and supports several different usecases. Note: This is not a complete list, if you have a specific requirement or question, see our support options. You may have encountered situations where the horizontal scaling o... |
{
"category": "App Definition and Development",
"file_name": ".md",
"project_name": "Koperator",
"subcategory": "Streaming & Messaging"
} | [
{
"data": "As highlighted in the features section, Koperator removed the reliance on StatefulSet,and supports several different usecases. Note: This is not a complete list, if you have a specific requirement or question, see our support options. You may have encountered situations where the horizontal scaling o... |
{
"category": "App Definition and Development",
"file_name": "docs.github.com.md",
"project_name": "Koperator",
"subcategory": "Streaming & Messaging"
} | [
{
"data": "Help for wherever you are on your GitHub journey. At the heart of GitHub is an open-source version control system (VCS) called Git. Git is responsible for everything GitHub-related that happens locally on your computer. You can connect to GitHub using the Secure Shell Protocol (SSH), which provides a... |
{
"category": "App Definition and Development",
"file_name": ".md",
"project_name": "KubeMQ",
"subcategory": "Streaming & Messaging"
} | [
{
"data": "KubeMQ is a Kubernetes Message Queue Broker. Enterprise-grade message broker and message queue, scalable, high available and secured. A Kubernetes native solution in a lightweight container, deployed in just one minute. All-batteries included Messaging Queue Broker for Kubernetes environment Deployed... |
{
"category": "App Definition and Development",
"file_name": "docs.md",
"project_name": "Koperator",
"subcategory": "Streaming & Messaging"
} | [
{
"data": "We read every piece of feedback, and take your input very seriously. To see all available qualifiers, see our documentation. | Name | Name.1 | Name.2 | Last commit message | Last commit date | |:-|:-|:-|-:|-:| | parent directory.. | parent directory.. | parent directory.. | nan | nan | | benchmarks |... |
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