commit | 73711a456a03410e942a3464be01a1dea16f0200 | [log] [tgz] |
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author | zachjsh <zachjsh@gmail.com> | Mon Jul 12 22:58:06 2021 -0400 |
committer | GitHub <noreply@github.com> | Mon Jul 12 22:58:06 2021 -0400 |
tree | 90da589ba2963ae15fe97c0fd5496ee77e818306 | |
parent | 05d5dd9289c03c62bab8f5a8caf80804382e4829 [diff] |
Suppress CVE-2021-27568 from json-smart 2.3 dependency (#11438) Dependency on hadoop 2.8.5 is preventing us form updating this dependency to a later version. We don't believe that this is a major concern since Druid eats uncaught exceptions, and only displays them in logs. This issue also should only affect ingestion jobs, which can only be run by admin type users.
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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. Consider Druid as an open source alternative to data warehouses for a variety of use cases.
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 console (shown below).
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 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.
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.
You can find the documentation for the latest Druid release on the project website.
If you would like to contribute documentation, please do so under /docs
in this repository and submit a pull request.
Community support is available on the druid-user mailing list, which is hosted at Google Groups.
Development discussions occur on dev@druid.apache.org, which you can subscribe to by emailing dev-subscribe@druid.apache.org.
Chat with Druid committers and users in real-time on the #druid
channel in the Apache Slack team. Please use this invitation link to join the ASF Slack, and once joined, go into the #druid
channel.
Please note that JDK 8 is required to build Druid.
For instructions on building Druid from source, see docs/development/build.md
Please follow the community guidelines for contributing.
For instructions on setting up IntelliJ dev/intellij-setup.md