How does Apache Druid's indexing mechanism optimize query performance in conjunction with Hive?
- Aggregation-based indexing
- Bitmap indexing
- Dimension-based indexing
- Time-based indexing
Apache Druid's indexing mechanism optimizes query performance by employing various indexing strategies such as dimension-based indexing, time-based indexing, bitmap indexing, and aggregation-based indexing, which accelerate data retrieval by efficiently organizing and accessing data based on specific dimensions, time values, bitmaps, and pre-computed aggregations, respectively, resulting in faster query execution when used in conjunction with Hive.
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