26fd2b3a8e
* Priority on loading for primary replica * Simplicity fixes * Fix on skipping drop for quick return. * change to debug logging for no replicants. * Fix on filter logic * swapping if-else * Fix on wrong "hasTier" logic * Refactoring of LoadRule * Rename createPredicate to createLoadQueueSizeLimitingPredicate * Rename getHolderList to getFilteredHolders * remove varargs * extract out currentReplicantsInTier * rename holders to holdersInTier * don't do temporary removal of tier. * rename primaryTier to tierToSkip * change LinkedList to ArrayList * Change MinMaxPriorityQueue in DruidCluster to TreeSet. * Adding some comments. * Modify log messages in light of predicates. * Add in-method comments * Don't create new Object2IntOpenHashMap for each run() call. * Cache result from strategy call in the primary assignment to be reused during the same run. * Spelling mistake * Cleaning up javadoc. * refactor out loading in progress check. * Removed redundant comment. * Removed forbidden API * Correct non-forbidden API. * Precision in variable type for NavigableSet. * Obsolete comment. * Clarity in method call and moving retrieval of ServerHolder into method call. * Comment on mutability of CoordinatoorStats. * Added auxiliary fixture for dropping. |
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| aws-common | ||
| benchmarks | ||
| bytebuffer-collections | ||
| ci | ||
| codestyle | ||
| common | ||
| distribution | ||
| docs | ||
| examples | ||
| extendedset | ||
| extensions-contrib | ||
| extensions-core | ||
| hll | ||
| indexing-hadoop | ||
| indexing-service | ||
| integration-tests | ||
| java-util | ||
| processing | ||
| publications | ||
| server | ||
| services | ||
| sql | ||
| .gitignore | ||
| .travis.yml | ||
| CONTRIBUTING.md | ||
| DruidCorporateCLA.pdf | ||
| DruidIndividualCLA.pdf | ||
| INTELLIJ_SETUP.md | ||
| LICENSE | ||
| NOTICE | ||
| README.md | ||
| druid_intellij_formatting.xml | ||
| eclipse.importorder | ||
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| 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, Spark, and Hadoop.
License
More Information
More information about Druid can be found on http://www.druid.io.
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/content in this repository and submit a pull request.
Getting Started
You can get started with Druid with our quickstart.
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.
Contributing
Please follow the guidelines listed here.