36a1543222
* Return better lastVersion from JDBCExtractionNamespaceCacheFactory's cache populator callable * Return the lastVersion if URI lookup last modified date is not later than the last cached, from URIExtractionNamespaceCacheFactory's cache populator callable * Fix a race condition in NamespaceExtractionCacheManager.cancelFuture() * Don't delete cache from NamespaceExtractionCacheManager if the ExtractionNamespaceCacheFactory returned the same version as the last; Better exception treatment in the scheduled cache updater runnable in NamespaceExtractionCacheManager (in particular, don't consume Errors); throw AssertionError in StaticMapExtractionNamespaceCacheFactory if the lastVersion != null) * In NamespaceExtractionCacheManager, put NamespaceImplData.latestVersion update in the same synchronized() block with swapAndClearCache(id, cacheId); Turn getPostRunnable which returns a callback into a simple updateNamespace() method * In StaticMapExtractionNamespaceCacheFactory.getCachePopulator(), check the input directly, not inside a callback * In URIExtractionNamespaceCacheFactory, allow URI last modified time to go backwards * Better logging in NamespaceExtractionCacheManager * Add comment on lastVersion nullability in URIExtractionNamespaceCacheFactory |
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api | ||
aws-common | ||
benchmarks | ||
codestyle | ||
common | ||
distribution | ||
docs | ||
examples | ||
extensions-contrib | ||
extensions-core | ||
indexing-hadoop | ||
indexing-service | ||
integration-tests | ||
java-util | ||
processing | ||
publications | ||
server | ||
services | ||
.gitignore | ||
.travis.yml | ||
CONTRIBUTING.md | ||
DruidCorporateCLA.pdf | ||
DruidIndividualCLA.pdf | ||
LICENSE | ||
NOTICE | ||
README.md | ||
druid_intellij_formatting.xml | ||
eclipse.importorder | ||
eclipse_formatting.xml | ||
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.