commit | 361bfdcaa5f79e531f4eba2359cf1f967606c8e6 | [log] [tgz] |
---|---|---|
author | Suneet Saldanha <suneet@apache.org> | Wed Aug 04 19:44:54 2021 -0400 |
committer | GitHub <noreply@github.com> | Wed Aug 04 16:44:54 2021 -0700 |
tree | 9a5e00d279942fd83f47de24f429a2146151065e | |
parent | 590583699f51905d76c9833ff59df16233536977 [diff] |
Better logging for lookups (#11539) * Better logging for lookups The default pollPeriod of 0 means that lookups are loaded once only at startup Add a warning message to warn operators about this. I suspect that most operators using jdbc or uri would expect eventual consistency with the source of the lookups if using jdbc or uri. So make this a warning to make it easier to debug if an operator notices a data inconsistency issue. * oops
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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 console (shown below).
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