Apache Druid: a high performance real-time analytics database.
Go to file
Gian Merlino 21bce96c4c More useful query errors. (#3335)
Follow-up to #1773, which meant to add more useful query errors but
did not actually do so. Since that patch, any error other than
interrupt/cancel/timeout was reported as `{"error":"Unknown exception"}`.

With this patch, the error fields are:

- error, one of the specific strings "Query interrupted", "Query timeout",
  "Query cancelled", or "Unknown exception" (same behavior as before).
- errorMessage, the message of the topmost non-QueryInterruptedException
  in the causality chain.
- errorClass, the class of the topmost non-QueryInterruptedException
  in the causality chain.
- host, the host that failed the query.
2016-08-09 16:14:52 +08:00
api Add timestampSpec to metadata.drd and SegmentMetadataQuery (#3227) 2016-07-25 15:45:30 -07:00
aws-common Update master version to 0.9.2-SNAPSHOT. (#3133) 2016-06-13 13:10:38 -07:00
benchmarks ability to not rollup at index time, make pre aggregation an option (#3020) 2016-08-02 11:13:05 -07:00
common Nicer handling for cancelled groupBy v2 queries. (#3330) 2016-08-05 14:48:06 -07:00
distribution Support variance and standard deviation (#2525) 2016-08-04 17:32:58 -07:00
docs More useful query errors. (#3335) 2016-08-09 16:14:52 +08:00
examples Quickstart: Use hadoopyString for batch indexing instead of string. (#3263) 2016-07-19 10:18:10 -07:00
extensions-contrib Hadoop InputRowParser for Orc file (#3019) 2016-07-26 09:42:56 -07:00
extensions-core Add time interval dim filter and retention analysis example (#3315) 2016-08-05 07:25:04 -07:00
indexing-hadoop HLL: Avoid some allocations when possible. (#3314) 2016-08-03 18:08:52 -07:00
indexing-service ability to not rollup at index time, make pre aggregation an option (#3020) 2016-08-02 11:13:05 -07:00
integration-tests fixing expected result for segmentMetadata query in integration tests (#3318) 2016-08-03 12:13:27 -07:00
processing More useful query errors. (#3335) 2016-08-09 16:14:52 +08:00
publications Support min/max values for metadata query (#2208) 2016-02-12 09:35:58 +09:00
server More useful query errors. (#3335) 2016-08-09 16:14:52 +08:00
services Mask properties from logging (#3332) 2016-08-08 21:36:10 +05:30
.gitignore move distribution artifacts to distribution/target 2015-10-30 12:40:05 -05:00
.travis.yml Disable cobertura travis portion (#3122) 2016-06-13 12:27:35 +05:30
CONTRIBUTING.md Add doc link to eclipse formatting settings as well (#3131) 2016-06-24 15:27:50 -07:00
DruidCorporateCLA.pdf fix CLA email / mailing address 2014-04-17 15:26:28 -07:00
DruidIndividualCLA.pdf fix CLA email / mailing address 2014-04-17 15:26:28 -07:00
LICENSE Clean up README and license 2015-02-18 23:09:28 -08:00
NOTICE Add variance aggregator from hive to NOTICE (#3327) 2016-08-04 17:43:55 -07:00
README.md update readme (#2830) 2016-04-13 11:33:31 -07:00
druid_intellij_formatting.xml Make formatting IntelliJ 2016 friendly (#2978) 2016-05-18 12:42:21 -07:00
eclipse.importorder Merge pull request #2905 from javasoze/eclipse_formatting 2016-04-29 18:42:03 -07:00
eclipse_formatting.xml Merge pull request #2905 from javasoze/eclipse_formatting 2016-04-29 18:42:03 -07:00
pom.xml Update java-util to 0.27.10. (#3337) 2016-08-09 13:37:30 +05:30
upload.sh upload.sh: Use awscli if s3cmd is not available. (#3114) 2016-06-08 17:01:46 -07:00

README.md

Build Status Coverage Status

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

Apache License, Version 2.0

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.