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  1. Basics
  2. Indexing

Range index

This page describes configuring the range index for Apache Pinot

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Range indexing allows you to get better performance for queries that involve filtering over a range.

It would be useful for a query like the following:

SELECT COUNT(*) 
FROM baseballStats 
WHERE hits > 11

A range index is a variant of an , where instead of creating a mapping from values to columns, we create mapping of a range of values to columns. You can use the range index by setting the following config in the .

{
    "tableIndexConfig": {
        "rangeIndexColumns": [
            "column_name",
            ...
        ],
        ...
    }
}

Range index is supported for dictionary encoded columns of any type as well as raw encoded columns of a numeric type. Note that the range index can also be used on a dictionary encoded time column using STRING type, since Pinot only supports datetime formats that are in lexicographical order.

A good thumb rule is to use a range index when you want to apply range predicates on metric columns that have a very large number of unique values. This is because using an inverted index for such columns will create a very large index that is inefficient in terms of storage and performance.

inverted index
table configuration