[jaffee]

Bit-sliced indexing is the clever magic here. This post goes very deep on it https://www.pilosa.com/blog/range-encoded-bitmaps/

But really, you use one bitmap for each binary bit of an integer, and it turns out you can generate arbitrary range queries on your dataset by doing various combinations of boolean operations on those bitmaps.

[kazinator]

This page perpetrates an apparent contradiction. Starts off with:

> Pilosa is built around the concept of representing everything as bitmaps.

What this literally means is that not a single datum is stored that is not in the bitmap.

But then the diagrammed examples look like this:

                manatee loris sea_horse
  Vertebrate    1       1     1
  Invertebrate  0       0     0
  Breathes Air  1       1     0

Pardon my ignorance, but I see here a bitmap of 9 bits plus six character strings that are obviously not inside that bitmap.

If those strings are removed, the bitmap means jack squat.

Are they understood to be in another bitmap?

[jaffee]

One does have to maintain some understanding of the how integer row and column ids are linked to what they actually represent.

Sometimes this is a function which might map (for example) row 3 to the letter 'd', 4 to 'e', and so on. Sometimes it has to be a lookup table which can be kept within Pilosa, or externally. Sometimes the IDs map directly to what they represent (day-of-month, year, passenger count, etc.)

So strictly speaking, not everything is a bitmap, but the bulk of the heavy lifting in terms of serving queries is computation on bitmaps.