77925cdcdd
* SQL: Fix round-trips of floating point literals. When writing RexLiterals into Druid expressions, we now write non-integer numeric literals in such a way that ensures they are parsed as doubles on the other end. * Updates from code review, and some additional stuff inspired by the investigation. - Remove unnecessary formatting code from DruidExpression.doubleLiteral: it handles things just fine with its default behavior. - Fix a problem where expression literals could not represent Long.MIN_VALUE. Now, integer literals start life off as BigIntegerExpr instead of LongExpr, and are converted to LongExpr during flattening. This is necessary because, in order to avoid ambiguity between unary minus and negative literals, our grammar does not actually have true negative literals. Negative numbers must be represented as unary minus next to a positive literal. - Fix a bug introduced in #12230 where shuttle.visitAll(args) delegated to shuttle.visit(arg) instead of arg.visit(shuttle). The latter does a recursive visitation, which is the intended behavior. * Style fixes. * Move regexp to the right place. |
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README.md
Website | Documentation | Developer Mailing List | User Mailing List | Slack | Twitter | Download
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. 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 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 Apache Druid Slack channel. Please use this invitation link to join and invite others.
Building from source
Please note that JDK 8 or JDK 11 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