Rhyme

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Rhyme

An Expressive Data-Centric Query Language

Query nested data, produce nested data as result

Overview
Getting Started
Examples
Rhyme

Tree-to-Tree Queries

Process nested structures (JSON, Tensors) as input, produce nested structures as result.

Easy to Metaprogram

Compose query fragments in JS, following the structure of the input or output.

Compile to JS (or C)

Queries are optimized and translated to low-level code for maximum performance.

From Query to Code ​

A Rhyme query is compiled through an intermediate representation (IR) that makes data dependencies explicit, optimized, and finally translated to efficient JavaScript (or C).

1 · Source Query
js
// share of total population, per country
{
  data.*A.country:
    sum(data.*A.population) /
    sum(data.*B.population)
}
2 · Intermediate Representation
IR graph: t2 accumulates the total population, t1 the per-country sum, t0 divides them
3 · Generated Code
js
t0 ??= {}
t1 ??= {}
t2 ??= 0
for (let xB in data) {
  t2 += data[xB].population
}
for (let xA in data) {
  t1[data[xA].country] ??= 0
  t1[data[xA].country] += data[xA].population
  t0[data[xA].country] = t1[data[xA].country] / t2
}
return t0