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In Flint 0.1, there are 3 skipping data structures: Partition, Min-Max, and ValueSet. Each of them serves specific purposes while also having its own set of advantages and limitations. For instance, the ValueSet can be incredibly useful but tends to consume a significant amount of space when handling columns with high cardinality.
What solution would you like?
Enrich the support for different skipping index type (reference paper <<Extensible Data Skipping>>):
Prefix: store the unique prefixes having b1 characters
Suffix: store the unique suffixes having b2 characters
GapList: store k gaps indicating ranges where there are no data points
GeoBox: store a set of x bounding boxes covering data points
As the range of supported data structures continues to expand, an important consideration emerges: the automated selection and evolution from one structure to another based on the accumulation of more data over time. This work is tracked in #118.
The text was updated successfully, but these errors were encountered:
Is your feature request related to a problem?
In Flint 0.1, there are 3 skipping data structures: Partition, Min-Max, and ValueSet. Each of them serves specific purposes while also having its own set of advantages and limitations. For instance, the ValueSet can be incredibly useful but tends to consume a significant amount of space when handling columns with high cardinality.
What solution would you like?
Enrich the support for different skipping index type (reference paper
<<Extensible Data Skipping>>
):As the range of supported data structures continues to expand, an important consideration emerges: the automated selection and evolution from one structure to another based on the accumulation of more data over time. This work is tracked in #118.
The text was updated successfully, but these errors were encountered: