About Apahce Druid
Druid is a distributed data processing system that supports real-time multi-dimensional OLAP analysis. It not only supports high-speed data real-time ingest processing, but also supports real-time and flexible multi-dimensional data analysis and query. Therefore, Druid's most common scenario is flexible and fast multi-dimensional OLAP analysis in the context of big data. In addition, Druid also has a key feature: it supports pre-aggregation ingestion and aggregation analysis of data based on timestamps, so some users often use it in scenarios with time-series data processing and analysis.
This important update
Join support
Druid started to support Join query. Join is one of the important features of the database. After joining Join, the query method will be simpler.
Inline query
topN
|
(join datasource)
/ \
(table datasource) groupBy
Query channel and priority
New configuration
druid.server.http.maxSubqueryRows
The configuration controls the maximum number of rows implemented in Broker memory.
support for Java 11
Can run on Java 11.
Update information: https://github.com/apache/druid/releases/tag/druid-0.18.0