5604ac7963
* druid pac4j security extension for OpenID Connect OAuth 2.0 authentication * update version in druid-pac4j pom * introducing unauthorized resource filter * authenticated but authorized /unified-webconsole.html * use httpReq.getRequestURI() for matching callback path * add documentation * minor doc addition * licesne file updates * make dependency analyze succeed * fix doc build * hopefully fixes doc build * hopefully fixes license check build * yet another try on fixing license build * revert unintentional changes to website folder * update version to 0.18.0-SNAPSHOT * check session and its expiry on each request * add crypto service * code for encrypting the cookie * update doc with cookiePassphrase * update license yaml * make sessionstore in Pac4jFilter private non static * make Pac4jFilter fields final * okta: use sha256 for hmac * remove incubating * add UTs for crypto util and session store impl * use standard charsets * add license header * remove unused file * add org.objenesis.objenesis to license.yaml * a bit of nit changes in CryptoService and embedding EncryptionResult for clarity * rename alg to cipherAlgName * take cipher alg name, mode and padding as input * add java doc for CryptoService and make it more understandable * another UT for CryptoService * cache pac4j Config * use generics clearly in Pac4jSessionStore * update cookiePassphrase doc to mention PasswordProvider * mark stuff Nullable where appropriate in Pac4jSessionStore * update doc to mention jdbc * add error log on reaching callback resource * javadoc for Pac4jCallbackResource * introduce NOOP_HTTP_ACTION_ADAPTER * add correct module name in license file * correct extensions folder name in licenses.yaml * replace druid-kubernetes-extensions to druid-pac4j * cache SecureRandom instance * rename UnauthorizedResourceFilter to AuthenticationOnlyResourceFilter
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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. Consider Druid as an open source alternative to data warehouses for a variety of use cases.
Getting started
You can get started with Druid with our 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 data
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
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
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
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
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.
Building from source
Please note that JDK 8 is required to build Druid.
For instructions on building Druid from source, see docs/development/build.md
Contributing
Please follow the community guidelines for contributing.
For instructions on setting up IntelliJ dev/intellij-setup.md