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https://github.com/meilisearch/MeiliSearch
synced 2024-11-22 21:04:27 +01:00
add facet test
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parent
9ac981d025
commit
eb28d4c525
@ -596,4 +596,216 @@ mod tests {
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milli_snap!(format!("{map:?}"), "candidates_0_5_000", @"825f23a4090d05756f46176987b7d992");
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}
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#[test]
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fn facet_stats() {
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let mut index = TempIndex::new_with_map_size(4096 * 10_000);
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index.index_documents_config.autogenerate_docids = true;
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index
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.update_settings(|settings| settings.set_filterable_fields(hashset! { S("colour") }))
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.unwrap();
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let facet_values = (0..1000).into_iter().collect::<Vec<_>>();
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let mut documents = vec![];
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for i in 0..1000 {
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let document = serde_json::json!({
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"colour": facet_values[i % 1000],
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})
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.as_object()
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.unwrap()
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.clone();
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documents.push(document);
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}
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let documents = documents_batch_reader_from_objects(documents);
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index.add_documents(documents).unwrap();
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let txn = index.read_txn().unwrap();
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let map = FacetDistribution::new(&txn, &index)
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.facets(std::iter::once("colour"))
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.compute_stats()
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.unwrap();
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milli_snap!(format!("{map:?}"), "no_candidates", @"{}");
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let map = FacetDistribution::new(&txn, &index)
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.facets(std::iter::once("colour"))
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.candidates((0..1000).into_iter().collect())
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.compute_stats()
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.unwrap();
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milli_snap!(format!("{map:?}"), "candidates_0_1000", @r###"{"colour": (0.0, 999.0)}"###);
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let map = FacetDistribution::new(&txn, &index)
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.facets(std::iter::once("colour"))
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.candidates((217..777).into_iter().collect())
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.compute_stats()
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.unwrap();
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milli_snap!(format!("{map:?}"), "candidates_217_777", @r###"{"colour": (217.0, 776.0)}"###);
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}
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#[test]
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fn facet_stats_array() {
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let mut index = TempIndex::new_with_map_size(4096 * 10_000);
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index.index_documents_config.autogenerate_docids = true;
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index
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.update_settings(|settings| settings.set_filterable_fields(hashset! { S("colour") }))
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.unwrap();
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let facet_values = (0..1000).into_iter().collect::<Vec<_>>();
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let mut documents = vec![];
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for i in 0..1000 {
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let document = serde_json::json!({
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"colour": [facet_values[i % 1000], facet_values[i % 1000] + 1000],
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})
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.as_object()
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.unwrap()
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.clone();
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documents.push(document);
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}
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let documents = documents_batch_reader_from_objects(documents);
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index.add_documents(documents).unwrap();
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let txn = index.read_txn().unwrap();
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let map = FacetDistribution::new(&txn, &index)
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.facets(std::iter::once("colour"))
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.compute_stats()
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.unwrap();
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milli_snap!(format!("{map:?}"), "no_candidates", @"{}");
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let map = FacetDistribution::new(&txn, &index)
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.facets(std::iter::once("colour"))
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.candidates((0..1000).into_iter().collect())
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.compute_stats()
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.unwrap();
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milli_snap!(format!("{map:?}"), "candidates_0_1000", @r###"{"colour": (0.0, 1999.0)}"###);
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let map = FacetDistribution::new(&txn, &index)
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.facets(std::iter::once("colour"))
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.candidates((217..777).into_iter().collect())
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.compute_stats()
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.unwrap();
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milli_snap!(format!("{map:?}"), "candidates_217_777", @r###"{"colour": (217.0, 1776.0)}"###);
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}
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#[test]
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fn facet_stats_mixed_array() {
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let mut index = TempIndex::new_with_map_size(4096 * 10_000);
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index.index_documents_config.autogenerate_docids = true;
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index
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.update_settings(|settings| settings.set_filterable_fields(hashset! { S("colour") }))
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.unwrap();
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let facet_values = (0..1000).into_iter().collect::<Vec<_>>();
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let mut documents = vec![];
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for i in 0..1000 {
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let document = serde_json::json!({
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"colour": [facet_values[i % 1000], format!("{}", facet_values[i % 1000] + 1000)],
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})
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.as_object()
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.unwrap()
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.clone();
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documents.push(document);
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}
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let documents = documents_batch_reader_from_objects(documents);
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index.add_documents(documents).unwrap();
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let txn = index.read_txn().unwrap();
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let map = FacetDistribution::new(&txn, &index)
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.facets(std::iter::once("colour"))
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.compute_stats()
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.unwrap();
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milli_snap!(format!("{map:?}"), "no_candidates", @"{}");
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let map = FacetDistribution::new(&txn, &index)
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.facets(std::iter::once("colour"))
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.candidates((0..1000).into_iter().collect())
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.compute_stats()
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.unwrap();
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milli_snap!(format!("{map:?}"), "candidates_0_1000", @r###"{"colour": (0.0, 999.0)}"###);
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let map = FacetDistribution::new(&txn, &index)
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.facets(std::iter::once("colour"))
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.candidates((217..777).into_iter().collect())
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.compute_stats()
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.unwrap();
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milli_snap!(format!("{map:?}"), "candidates_217_777", @r###"{"colour": (217.0, 776.0)}"###);
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}
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#[test]
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fn facet_mixed_values() {
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let mut index = TempIndex::new_with_map_size(4096 * 10_000);
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index.index_documents_config.autogenerate_docids = true;
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index
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.update_settings(|settings| settings.set_filterable_fields(hashset! { S("colour") }))
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.unwrap();
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let facet_values = (0..1000).into_iter().collect::<Vec<_>>();
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let mut documents = vec![];
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for i in 0..1000 {
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let document = if i % 2 == 0 {
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serde_json::json!({
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"colour": [facet_values[i % 1000], facet_values[i % 1000] + 1000],
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})
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} else {
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serde_json::json!({
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"colour": format!("{}", facet_values[i % 1000] + 10000),
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})
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};
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let document = document.as_object().unwrap().clone();
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documents.push(document);
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}
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let documents = documents_batch_reader_from_objects(documents);
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index.add_documents(documents).unwrap();
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let txn = index.read_txn().unwrap();
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let map = FacetDistribution::new(&txn, &index)
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.facets(std::iter::once("colour"))
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.compute_stats()
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.unwrap();
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milli_snap!(format!("{map:?}"), "no_candidates", @"{}");
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let map = FacetDistribution::new(&txn, &index)
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.facets(std::iter::once("colour"))
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.candidates((0..1000).into_iter().collect())
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.compute_stats()
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.unwrap();
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milli_snap!(format!("{map:?}"), "candidates_0_1000", @r###"{"colour": (0.0, 1998.0)}"###);
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let map = FacetDistribution::new(&txn, &index)
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.facets(std::iter::once("colour"))
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.candidates((217..777).into_iter().collect())
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.compute_stats()
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.unwrap();
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milli_snap!(format!("{map:?}"), "candidates_217_777", @r###"{"colour": (218.0, 1776.0)}"###);
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}
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}
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