use tantivy::collector::Count;
use tantivy::query::RangeQuery;
use tantivy::schema::{Schema, INDEXED};
use tantivy::{doc, Index, IndexWriter, Result};
fn main() -> Result<()> {
Below is an example of creating an indexed integer field in your schema You can use RangeQuery to get a Count of all occurrences in a given range.
use tantivy::collector::Count;
use tantivy::query::RangeQuery;
use tantivy::schema::{Schema, INDEXED};
use tantivy::{doc, Index, IndexWriter, Result};
fn main() -> Result<()> {
For the sake of simplicity, this schema will only have 1 field
let mut schema_builder = Schema::builder();
INDEXED
is a short-hand to indicate that our field should be “searchable”.
let year_field = schema_builder.add_u64_field("year", INDEXED);
let schema = schema_builder.build();
let index = Index::create_in_ram(schema);
let reader = index.reader()?;
{
let mut index_writer: IndexWriter = index.writer_with_num_threads(1, 6_000_000)?;
for year in 1950u64..2019u64 {
index_writer.add_document(doc!(year_field => year))?;
}
index_writer.commit()?;
The index will be a range of years
}
reader.reload()?;
let searcher = reader.searcher();
The end is excluded i.e. here we are searching up to 1969
let docs_in_the_sixties = RangeQuery::new_u64("year".to_string(), 1960..1970);
Uses a Count collector to sum the total number of docs in the range
let num_60s_books = searcher.search(&docs_in_the_sixties, &Count)?;
assert_eq!(num_60s_books, 10);
Ok(())
}