Remove CloseQuietly and migrate its usages to other methods. (#10247)

* Remove CloseQuietly and migrate its usages to other methods.

These other methods include:

1) New method CloseableUtils.closeAndWrapExceptions, which wraps IOExceptions
   in RuntimeExceptions for callers that just want to avoid dealing with
   checked exceptions. Most usages were migrated to this method, because it
   looks like they were mainly attempts to avoid declaring a throws clause,
   and perhaps were unintentionally suppressing IOExceptions.
2) New method CloseableUtils.closeInCatch, designed to properly close something
   in a catch block without losing exceptions. Some usages from catch blocks
   were migrated here, when it seemed that they were intended to avoid checked
   exception handling, and did not really intend to also suppress IOExceptions.
3) New method CloseableUtils.closeAndSuppressExceptions, which sends all
   exceptions to a "chomper" that consumes them. Nothing is thrown or returned.
   The behavior is slightly different: with this method, _all_ exceptions are
   suppressed, not just IOExceptions. Calls that seemed like they had good
   reason to suppress exceptions were migrated here.
4) Some calls were migrated to try-with-resources, in cases where it appeared
   that CloseQuietly was being used to avoid throwing an exception in a finally
   block.

🎵 You don't have to go home, but you can't stay here... 🎵

* Remove unused import.

* Fix up various issues.

* Adjustments to tests.

* Fix null handling.

* Additional test.

* Adjustments from review.

* Fixup style stuff.

* Fix NPE caused by holder starting out null.

* Fix spelling.

* Chomp Throwables too.
47 files changed
tree: 486f7980b34ca2791576bc6bbda7c886ac83c2b8
  1. .github/
  2. .idea/
  3. benchmarks/
  4. cloud/
  5. codestyle/
  6. core/
  7. dev/
  8. distribution/
  9. docs/
  10. examples/
  11. extendedset/
  12. extensions-contrib/
  13. extensions-core/
  14. helm/
  15. hll/
  16. hooks/
  17. indexing-hadoop/
  18. indexing-service/
  19. integration-tests/
  20. licenses/
  21. processing/
  22. publications/
  23. server/
  24. services/
  25. sql/
  26. web-console/
  27. website/
  28. .asf.yaml
  29. .backportrc.json
  30. .codecov.yml
  31. .dockerignore
  32. .gitignore
  33. .lgtm.yml
  34. .travis.yml
  35. check_test_suite.py
  36. check_test_suite_test.py
  37. CONTRIBUTING.md
  38. LABELS
  39. LICENSE
  40. licenses.yaml
  41. NOTICE
  42. owasp-dependency-check-suppressions.xml
  43. pom.xml
  44. README.md
  45. README.template
  46. setup-hooks.sh
  47. upload.sh
README.md

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Apache Druid

Druid is a high performance real-time analytics database. Druid's main value add is to reduce time to insight and action.

Druid is designed for workflows where fast queries and ingest really matter. Druid excels at powering UIs, running operational (ad-hoc) queries, or handling high concurrency. Consider Druid as an open source alternative to data warehouses for a variety of use cases. The design documentation explains the key concepts.

Getting started

You can get started with Druid with our local or Docker quickstart.

Druid provides a rich set of APIs (via HTTP and JDBC) for loading, managing, and querying your data. You can also interact with Druid via the built-in console (shown below).

Load data

data loader Kafka

Load streaming and batch data using a point-and-click wizard to guide you through ingestion setup. Monitor one off tasks and ingestion supervisors.

Manage the cluster

management

Manage your cluster with ease. Get a view of your datasources, segments, ingestion tasks, and services from one convenient location. All powered by SQL systems tables, allowing you to see the underlying query for each view.

Issue queries

query view combo

Use the built-in query workbench to prototype DruidSQL and native queries or connect one of the many tools that help you make the most out of Druid.

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 in this repository and submit a pull request.

Community

Community support is available on the druid-user mailing list, which is hosted at Google Groups.

Development discussions occur on dev@druid.apache.org, which you can subscribe to by emailing dev-subscribe@druid.apache.org.

Chat with Druid committers and users in real-time on the #druid channel in the Apache Slack team. Please use this invitation link to join the ASF Slack, and once joined, go into the #druid channel.

Building from source

Please note that JDK 8 is required to build Druid.

For instructions on building Druid from source, see docs/development/build.md

Contributing

Please follow the community guidelines for contributing.

For instructions on setting up IntelliJ dev/intellij-setup.md

License

Apache License, Version 2.0