Fix broken GenericRecord.Arrays in avro parsing (#5115)

* Fix broken GenericRecord.Arrays in avro parsing

* Add whitespace for linting
1 file changed
tree: 6e6e9dd59d8eb43b698a04c2face8522804cc29c
  1. .gitignore
  2. .idea/
  3. .travis.yml
  5. DruidCorporateCLA.pdf
  6. DruidIndividualCLA.pdf
  11. api/
  12. aws-common/
  13. benchmarks/
  14. bytebuffer-collections/
  15. ci/
  16. codestyle/
  17. common/
  18. distribution/
  19. docs/
  20. druid_intellij_formatting.xml
  21. eclipse.importorder
  22. eclipse_formatting.xml
  23. examples/
  24. extendedset/
  25. extensions-contrib/
  26. extensions-core/
  27. hll/
  28. indexing-hadoop/
  29. indexing-service/
  30. integration-tests/
  31. java-util/
  32. pom.xml
  33. processing/
  34. publications/
  35. server/
  36. services/
  37. sql/

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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.


Apache License, Version 2.0

More Information

More information about Druid can be found on


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.

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You can get started with Druid with our quickstart.

Reporting Issues

If you find any bugs, please file a GitHub issue.


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