| commit | 274ccbfd85c86a1333344c4ac2aedce241027728 | [log] [tgz] |
|---|---|---|
| author | Gian Merlino <gianmerlino@gmail.com> | Wed Apr 24 02:39:24 2024 -0700 |
| committer | GitHub <noreply@github.com> | Wed Apr 24 05:39:24 2024 -0400 |
| tree | 1c9dfe1d1d50a07686109272b0f9dd6afe35d40b | |
| parent | 1dabb028430a95c1c56cc034c6df6a24d3ce22f5 [diff] |
Reset buffer aggregators when resetting Groupers. (#16296) Buffer aggregators can contain some cached objects within them, such as Memory references or HLL Unions. Prior to this patch, various Grouper implementations were not releasing this state when resetting their own internal state, which could lead to excessive memory use. This patch renames AggregatorAdapater#close to "reset", and updates Grouper implementations to call this reset method whenever they reset their internal state. The base method on BufferAggregator and VectorAggregator remains named "close", for compatibility with existing extensions, but the contract is adjusted to say that the aggregator may be reused after the method is called. All existing implementations in core already adhere to this new contract, except for the ArrayOfDoubles build flavors, which are updated in this patch to adhere. Additionally, this patch harmonizes buffer sketch helpers to call their clear method "clear" rather than a mix of "clear" and "close". (Others were already using "clear".)
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| 🧪 Unit and Integration Tests Unified |  |
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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.
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 web console (shown below).
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 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.
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.
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