Apache Druid: a high performance real-time analytics database.
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Reduce allocations due to Jackson serialization. (#12468)
* Reduce allocations due to Jackson serialization.

This patch attacks two sources of allocations during Jackson
serialization:

1) ObjectMapper.writeValue and JsonGenerator.writeObject create a new
   DefaultSerializerProvider instance for each call. It has lots of
   fields and creates pressure on the garbage collector. So, this patch
   adds helper functions in JacksonUtils that enable reuse of
   SerializerProvider objects and updates various call sites to make
   use of this.

2) GroupByQueryToolChest copies the ObjectMapper for every query to
   install a special module that supports backwards compatibility with
   map-based rows. This isn't needed if resultAsArray is set and
   all servers are running Druid 0.16.0 or later. This release was a
   while ago. So, this patch disables backwards compatibility by default,
   which eliminates the need to copy the heavyweight ObjectMapper. The
   patch also introduces a configuration option that allows admins to
   explicitly enable backwards compatibility.

* Add test.

* Update additional call sites and add to forbidden APIs.
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README.md

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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. 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

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

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.

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

License

Apache License, Version 2.0