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apache/druid Docker 镜像 - 轩辕镜像 | Docker 镜像高效稳定拉取服务

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druid
apache/druid
Apache 软件基金会镜像
Apache Druid是一款开源实时分析数据库,专为大规模时序数据的快速查询与实时摄入设计,支持交互式分析,提供高性能数据处理能力。
59 次收藏下载次数: 0状态:社区镜像维护者:Apache 软件基金会镜像仓库类型:镜像最近更新:1 个月前
轩辕镜像,不浪费每一次拉取。点击查看
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![Coverage Status]([] ![Docker]([] ![Helm]([***]

WorkflowStatus
⚙️ CodeQL Config![codeql-config]([***]
🔍 CodeQL![codeql]([***]
🕒 Cron Job ITS![cron-job-its]([***]
🏷️ Labeler![labeler]([***]
♻️ Reusable Revised ITS![reusable-revised-its]([***]
♻️ Reusable Standard ITS![reusable-standard-its]([***]
🔄 Revised ITS![revised-its]([***]
🔧 Standard ITS![standard-its]([***]
🛠️ Static Checks![static-checks]([***]
🧪 Unit and Integration Tests Unified![unit-and-integration-tests-unified]([***]

![Website]([] ![]([] ![Download]([] ![Documentation]([***]


Apache Druid

Druid is a high performance real-time analytics database. Druid's main value add is to reduce time to insight and action.

Druid is designed for workflows where fast queries and ingest really matter. Druid excels at powering UIs, running operational (ad-hoc) queries, or handling high concurrency. *** Druid as an open source alternative to data warehouses for a variety of use cases. The design documentation explains the key concepts.

Getting started

You can get started with Druid with our local or Docker quickstart.

Druid provides a rich set of APIs (via HTTP and JDBC) for loading, managing, and querying your data. You can also interact with Druid via the built-in web console (shown below).

Load data

![data loader Kafka]([***]

Load streaming and batch data using a point-and-click wizard to guide you through ingestion setup. Monitor one off tasks and ingestion supervisors.

Manage the cluster

![management]([***]

Manage your cluster with ease. Get a view of your datasources, segments, ingestion tasks, and services from one convenient location. All powered by SQL systems tables, allowing you to see the underlying query for each view.

Issue queries

![query view combo]([***]

Use the built-in query workbench to prototype DruidSQL and native queries or connect one of the many tools that help you make the most out of Druid.

Documentation

See the latest documentation for the documentation for the current official release. If you need information on a previous release, you can browse previous releases documentation.

Make documentation and tutorials updates in /docs using Markdown or extended Markdown (MDX). Then, open a pull request.

To build the site locally, you need Node 18 or higher and to install Docusaurus 3 with npm|yarn install in the website directory. Then you can run npm|yarn start to launch a local build of the docs.

If you're looking to update non-doc pages like Use Cases, those files are in the druid-website-src repo.

For more information, see the README in the ./website directory.

Community

Visit the official project community page to read about getting involved in contributing to Apache Druid, and how we help one another use and operate Druid.

  • Druid users can find help in the druid-user mailing list on Google Groups, and have more technical conversations in #troubleshooting on Slack.
  • Druid development discussions take place in the druid-dev mailing list (***). Subscribe by emailing ***. For live conversations, join the #dev channel on Slack.

Check out the official community page for details of how to join the community Slack channels.

Find articles written by community members and a calendar of upcoming events on the project site - contribute your own events and articles by submitting a PR in the apache/druid-website-src repository.

Building from source

Please note that JDK 11 or JDK 17 is required to build Druid.

See the latest build guide for instructions on building Apache Druid from source.

Contributing

Please follow the community guidelines for contributing.

For instructions on setting up IntelliJ dev/intellij-setup.md

License

Apache License, Version 2.0

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