mirror of https://github.com/apache/druid.git
b11c0bc249
* smarter nested column index utilization changes: * adds skipValueRangeIndexScale and skipValuePredicateIndexScale to ColumnConfig (e.g. DruidProcessingConfig) available as system config via druid.processing.indexes.skipValueRangeIndexScale and druid.processing.indexes.skipValuePredicateIndexScale * NestedColumnIndexSupplier uses skipValueRangeIndexScale and skipValuePredicateIndexScale to multiply by the total number of rows to be processed to determine the threshold at which we should no longer consider using bitmap indexes because it will be too many operations * Default values for skipValueRangeIndexScale and skipValuePredicateIndexScale have been initially set to 0.08, but are separate to allow independent tuning * these are not documented on purpose yet because they are kind of hard to explain, the mainly exist to help conduct larger scale experiments than the jmh benchmarks used to derive the initial set of values * these changes provide a pretty sweet performance boost for filter processing on nested columns |
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