2e1d6aaf3d
* Defaults the thread priority to java.util.Thread.NORM_PRIORITY in io.druid.indexing.common.task.AbstractTask * Each exec service has its own Task Factory which is assigned a priority for spawned task. Therefore each priority class has a unique exec service * Added priority to tasks as taskPriority in the task context. <0 means low, 0 means take default, >0 means high. It is up to any particular implementation to determine how to handle these numbers * Add options to ForkingTaskRunner * Add "-XX:+UseThreadPriorities" default option * Add "-XX:ThreadPriorityPolicy=42" default option * AbstractTask - Removed unneded @JsonIgnore on priority * Added priority to RealtimePlumber executors. All sub-executors (non query runners) get Thread.MIN_PRIORITY * Add persistThreadPriority and mergeThreadPriority to realtime tuning config |
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aws-common | ||
benchmarks | ||
common | ||
distribution | ||
docs | ||
examples | ||
extensions | ||
indexing-hadoop | ||
indexing-service | ||
integration-tests | ||
processing | ||
publications | ||
server | ||
services | ||
.gitignore | ||
.travis.yml | ||
CONTRIBUTING.md | ||
DruidCorporateCLA.pdf | ||
DruidIndividualCLA.pdf | ||
LICENSE | ||
NOTICE | ||
README.md | ||
eclipse_formatting.xml | ||
intellij_formatting.jar | ||
pom.xml | ||
upload.sh |
README.md
Druid
Druid is a distributed, column-oriented, real-time analytics data store that is commonly used to power exploratory dashboards in multi-tenant environments.
Druid excels as a data warehousing solution for fast aggregate queries on petabyte sized data sets. Druid supports a variety of flexible filters, exact calculations, approximate algorithms, and other useful calculations.
Druid can load both streaming and batch data and integrates with Samza, Kafka, Storm, and Hadoop.
License
More Information
More information about Druid can be found on http://www.druid.io.
Documentation
You can find the latest Druid Documentation on the project website.
If you would like to contribute documentation, please do so under
/docs/content
in this repository and submit a pull request.
Tutorials
We have a series of tutorials to get started with Druid. If you are just getting started, we suggest going over the first Druid tutorial.
Reporting Issues
If you find any bugs, please file a GitHub issue.
Community
Community support is available on the druid-user mailing list(druid-user@googlegroups.com).
Development discussions occur on the druid-development list(druid-development@googlegroups.com).
We also have a couple people hanging out on IRC in #druid-dev
on
irc.freenode.net
.