#![doc(html_logo_url = "http://fulmicoton.com/tantivy-logo/tantivy-logo.png")] #![cfg_attr(feature = "cargo-clippy", allow(module_inception))] #![cfg_attr(feature = "cargo-clippy", allow(inline_always))] #![cfg_attr(all(feature = "unstable", test), feature(test))] #![doc(test(attr(allow(unused_variables), deny(warnings))))] #![allow(unknown_lints)] #![allow(new_without_default)] #![allow(decimal_literal_representation)] #![warn(missing_docs)] #![recursion_limit = "80"] //! # `tantivy` //! //! Tantivy is a search engine library. //! Think `Lucene`, but in Rust. //! //! ```rust //! # extern crate tempdir; //! # //! #[macro_use] //! extern crate tantivy; //! //! // ... //! //! # use std::path::Path; //! # use tempdir::TempDir; //! # use tantivy::Index; //! # use tantivy::schema::*; //! # use tantivy::collector::TopCollector; //! # use tantivy::query::QueryParser; //! # //! # fn main() { //! # // Let's create a temporary directory for the //! # // sake of this example //! # if let Ok(dir) = TempDir::new("tantivy_example_dir") { //! # run_example(dir.path()).unwrap(); //! # dir.close().unwrap(); //! # } //! # } //! # //! # fn run_example(index_path: &Path) -> tantivy::Result<()> { //! // First we need to define a schema ... //! //! // `TEXT` means the field should be tokenized and indexed, //! // along with its term frequency and term positions. //! // //! // `STORED` means that the field will also be saved //! // in a compressed, row-oriented key-value store. //! // This store is useful to reconstruct the //! // documents that were selected during the search phase. //! let mut schema_builder = SchemaBuilder::default(); //! let title = schema_builder.add_text_field("title", TEXT | STORED); //! let body = schema_builder.add_text_field("body", TEXT); //! let schema = schema_builder.build(); //! //! // Indexing documents //! //! let index = Index::create_in_dir(index_path, schema.clone())?; //! //! // Here we use a buffer of 100MB that will be split //! // between indexing threads. //! let mut index_writer = index.writer(100_000_000)?; //! //! // Let's index one documents! //! index_writer.add_document(doc!( //! title => "The Old Man and the Sea", //! body => "He was an old man who fished alone in a skiff in \ //! the Gulf Stream and he had gone eighty-four days \ //! now without taking a fish." //! )); //! //! // We need to call .commit() explicitly to force the //! // index_writer to finish processing the documents in the queue, //! // flush the current index to the disk, and advertise //! // the existence of new documents. //! index_writer.commit()?; //! //! // # Searching //! //! index.load_searchers()?; //! //! let searcher = index.searcher(); //! //! let query_parser = QueryParser::for_index(&index, vec![title, body]); //! //! // QueryParser may fail if the query is not in the right //! // format. For user facing applications, this can be a problem. //! // A ticket has been opened regarding this problem. //! let query = query_parser.parse_query("sea whale")?; //! //! let mut top_collector = TopCollector::with_limit(10); //! searcher.search(&*query, &mut top_collector)?; //! //! // Our top collector now contains the 10 //! // most relevant doc ids... //! let doc_addresses = top_collector.docs(); //! for doc_address in doc_addresses { //! let retrieved_doc = searcher.doc(&doc_address)?; //! println!("{}", schema.to_json(&retrieved_doc)); //! } //! //! # Ok(()) //! # } //! ``` //! //! //! //! A good place for you to get started is to check out //! the example code ( //! [literate programming](http://fulmicoton.com/tantivy-examples/simple_search.html) / //! [source code](https://github.com/fulmicoton/tantivy/blob/master/examples/simple_search.rs)) #[macro_use] extern crate lazy_static; #[macro_use] extern crate serde_derive; #[cfg_attr(test, macro_use)] extern crate serde_json; #[macro_use] extern crate log; #[macro_use] extern crate failure; #[cfg(feature = "mmap")] extern crate atomicwrites; extern crate base64; extern crate bit_set; extern crate bitpacking; extern crate byteorder; #[macro_use] extern crate combine; extern crate crossbeam; extern crate crossbeam_channel; extern crate fnv; extern crate fst; extern crate fst_regex; extern crate futures; extern crate futures_cpupool; extern crate itertools; extern crate levenshtein_automata; extern crate num_cpus; extern crate owning_ref; extern crate regex; extern crate rust_stemmers; extern crate serde; extern crate stable_deref_trait; extern crate tempdir; extern crate tempfile; extern crate uuid; #[cfg(test)] #[macro_use] extern crate matches; #[cfg(windows)] extern crate winapi; #[cfg(test)] extern crate rand; #[cfg(all(test, feature = "unstable"))] extern crate test; #[macro_use] extern crate downcast; #[macro_use] extern crate fail; #[cfg(test)] mod functional_test; #[macro_use] mod macros; pub use error::TantivyError; #[deprecated(since="0.7.0", note="please use `tantivy::TantivyError` instead")] pub use error::TantivyError as Error; extern crate census; extern crate owned_read; /// Tantivy result. pub type Result = std::result::Result; mod common; mod core; mod indexer; #[allow(unused_doc_comments)] mod error; pub mod tokenizer; pub mod collector; pub mod directory; pub mod fastfield; pub mod fieldnorm; pub(crate) mod positions; pub mod postings; pub mod query; pub mod schema; pub mod store; pub mod termdict; mod docset; pub use self::docset::{DocSet, SkipResult}; pub use core::SegmentComponent; pub use core::{Index, Searcher, Segment, SegmentId, SegmentMeta}; pub use core::{InvertedIndexReader, SegmentReader}; pub use directory::Directory; pub use indexer::IndexWriter; pub use postings::Postings; pub use schema::{Document, Term}; pub use common::{i64_to_u64, u64_to_i64}; /// Expose the current version of tantivy, as well /// whether it was compiled with the simd compression. pub fn version() -> &'static str { if cfg!(feature = "simdcompression") { concat!(env!("CARGO_PKG_VERSION"), "-simd") } else { concat!(env!("CARGO_PKG_VERSION"), "-nosimd") } } /// Defines tantivy's merging strategy pub mod merge_policy { pub use indexer::DefaultMergePolicy; pub use indexer::LogMergePolicy; pub use indexer::MergePolicy; pub use indexer::NoMergePolicy; } /// A `u32` identifying a document within a segment. /// Documents have their `DocId` assigned incrementally, /// as they are added in the segment. pub type DocId = u32; /// A f32 that represents the relevance of the document to the query /// /// This is modelled internally as a `f32`. The /// larger the number, the more relevant the document /// to the search pub type Score = f32; /// A `SegmentLocalId` identifies a segment. /// It only makes sense for a given searcher. pub type SegmentLocalId = u32; impl DocAddress { /// Return the segment ordinal. /// The segment ordinal is an id identifying the segment /// hosting the document. It is only meaningful, in the context /// of a searcher. pub fn segment_ord(&self) -> SegmentLocalId { self.0 } /// Return the segment local `DocId` pub fn doc(&self) -> DocId { self.1 } } /// `DocAddress` contains all the necessary information /// to identify a document given a `Searcher` object. /// /// It consists in an id identifying its segment, and /// its segment-local `DocId`. /// /// The id used for the segment is actually an ordinal /// in the list of segment hold by a `Searcher`. #[derive(Debug, Clone, Copy, PartialEq, Eq, PartialOrd, Ord)] pub struct DocAddress(pub SegmentLocalId, pub DocId); #[cfg(test)] mod tests { use collector::tests::TestCollector; use core::SegmentReader; use docset::DocSet; use query::BooleanQuery; use rand::distributions::Bernoulli; use rand::distributions::Range; use rand::{Rng, SeedableRng, XorShiftRng}; use schema::*; use Index; use IndexWriter; use Postings; pub fn assert_nearly_equals(expected: f32, val: f32) { assert!( nearly_equals(val, expected), "Got {}, expected {}.", val, expected ); } pub fn nearly_equals(a: f32, b: f32) -> bool { (a - b).abs() < 0.0005 * (a + b).abs() } pub fn generate_nonunique_unsorted(max_value: u32, n_elems: usize) -> Vec { let seed: [u8; 16] = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]; XorShiftRng::from_seed(seed) .sample_iter(&Range::new(0u32, max_value)) .take(n_elems) .collect::>() } pub fn sample_with_seed(n: u32, ratio: f64, seed_val: u8) -> Vec { let seed: [u8; 16] = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, seed_val]; XorShiftRng::from_seed(seed) .sample_iter(&Bernoulli::new(ratio)) .take(n as usize) .enumerate() .filter_map(|(val, keep)| if keep { Some(val as u32) } else { None }) .collect() } pub fn sample(n: u32, ratio: f64) -> Vec { sample_with_seed(n, ratio, 4) } #[test] #[cfg(feature = "mmap")] fn test_indexing() { let mut schema_builder = SchemaBuilder::default(); let text_field = schema_builder.add_text_field("text", TEXT); let schema = schema_builder.build(); let index = Index::create_from_tempdir(schema).unwrap(); { // writing the segment let mut index_writer = index.writer_with_num_threads(1, 40_000_000).unwrap(); { let doc = doc!(text_field=>"af b"); index_writer.add_document(doc); } { let doc = doc!(text_field=>"a b c"); index_writer.add_document(doc); } { let doc = doc!(text_field=>"a b c d"); index_writer.add_document(doc); } assert!(index_writer.commit().is_ok()); } } #[test] fn test_docfreq1() { let mut schema_builder = SchemaBuilder::default(); let text_field = schema_builder.add_text_field("text", TEXT); let index = Index::create_in_ram(schema_builder.build()); let mut index_writer = index.writer_with_num_threads(1, 40_000_000).unwrap(); { index_writer.add_document(doc!(text_field=>"a b c")); index_writer.commit().unwrap(); } { { let doc = doc!(text_field=>"a"); index_writer.add_document(doc); } { let doc = doc!(text_field=>"a a"); index_writer.add_document(doc); } index_writer.commit().unwrap(); } { let doc = doc!(text_field=>"c"); index_writer.add_document(doc); index_writer.commit().unwrap(); } { index.load_searchers().unwrap(); let searcher = index.searcher(); let term_a = Term::from_field_text(text_field, "a"); assert_eq!(searcher.doc_freq(&term_a), 3); let term_b = Term::from_field_text(text_field, "b"); assert_eq!(searcher.doc_freq(&term_b), 1); let term_c = Term::from_field_text(text_field, "c"); assert_eq!(searcher.doc_freq(&term_c), 2); let term_d = Term::from_field_text(text_field, "d"); assert_eq!(searcher.doc_freq(&term_d), 0); } } #[test] fn test_fieldnorm_no_docs_with_field() { let mut schema_builder = SchemaBuilder::default(); let title_field = schema_builder.add_text_field("title", TEXT); let text_field = schema_builder.add_text_field("text", TEXT); let index = Index::create_in_ram(schema_builder.build()); { let mut index_writer = index.writer_with_num_threads(1, 40_000_000).unwrap(); { let doc = doc!(text_field=>"a b c"); index_writer.add_document(doc); } index_writer.commit().unwrap(); } { index.load_searchers().unwrap(); let searcher = index.searcher(); let reader = searcher.segment_reader(0); { let fieldnorm_reader = reader.get_fieldnorms_reader(text_field); assert_eq!(fieldnorm_reader.fieldnorm(0), 3); } { let fieldnorm_reader = reader.get_fieldnorms_reader(title_field); assert_eq!(fieldnorm_reader.fieldnorm_id(0), 0); } } } #[test] fn test_fieldnorm() { let mut schema_builder = SchemaBuilder::default(); let text_field = schema_builder.add_text_field("text", TEXT); let index = Index::create_in_ram(schema_builder.build()); { let mut index_writer = index.writer_with_num_threads(1, 40_000_000).unwrap(); { let doc = doc!(text_field=>"a b c"); index_writer.add_document(doc); } { let doc = doc!(); index_writer.add_document(doc); } { let doc = doc!(text_field=>"a b"); index_writer.add_document(doc); } index_writer.commit().unwrap(); } { index.load_searchers().unwrap(); let searcher = index.searcher(); let segment_reader: &SegmentReader = searcher.segment_reader(0); let fieldnorms_reader = segment_reader.get_fieldnorms_reader(text_field); assert_eq!(fieldnorms_reader.fieldnorm(0), 3); assert_eq!(fieldnorms_reader.fieldnorm(1), 0); assert_eq!(fieldnorms_reader.fieldnorm(2), 2); } } fn advance_undeleted(docset: &mut DocSet, reader: &SegmentReader) -> bool { while docset.advance() { if !reader.is_deleted(docset.doc()) { return true; } } false } #[test] fn test_delete_postings1() { let mut schema_builder = SchemaBuilder::default(); let text_field = schema_builder.add_text_field("text", TEXT); let term_abcd = Term::from_field_text(text_field, "abcd"); let term_a = Term::from_field_text(text_field, "a"); let term_b = Term::from_field_text(text_field, "b"); let term_c = Term::from_field_text(text_field, "c"); let schema = schema_builder.build(); let index = Index::create_in_ram(schema); { // writing the segment let mut index_writer = index.writer_with_num_threads(1, 40_000_000).unwrap(); { // 0 let doc = doc!(text_field=>"a b"); index_writer.add_document(doc); } { // 1 let doc = doc!(text_field=>" a c"); index_writer.add_document(doc); } { // 2 let doc = doc!(text_field=>" b c"); index_writer.add_document(doc); } { // 3 let doc = doc!(text_field=>" b d"); index_writer.add_document(doc); } { index_writer.delete_term(Term::from_field_text(text_field, "c")); } { index_writer.delete_term(Term::from_field_text(text_field, "a")); } { // 4 let doc = doc!(text_field=>" b c"); index_writer.add_document(doc); } { // 5 let doc = doc!(text_field=>" a"); index_writer.add_document(doc); } index_writer.commit().unwrap(); } { index.load_searchers().unwrap(); let searcher = index.searcher(); let reader = searcher.segment_reader(0); let inverted_index = reader.inverted_index(text_field); assert!( inverted_index .read_postings(&term_abcd, IndexRecordOption::WithFreqsAndPositions) .is_none() ); { let mut postings = inverted_index .read_postings(&term_a, IndexRecordOption::WithFreqsAndPositions) .unwrap(); assert!(advance_undeleted(&mut postings, reader)); assert_eq!(postings.doc(), 5); assert!(!advance_undeleted(&mut postings, reader)); } { let mut postings = inverted_index .read_postings(&term_b, IndexRecordOption::WithFreqsAndPositions) .unwrap(); assert!(advance_undeleted(&mut postings, reader)); assert_eq!(postings.doc(), 3); assert!(advance_undeleted(&mut postings, reader)); assert_eq!(postings.doc(), 4); assert!(!advance_undeleted(&mut postings, reader)); } } { // writing the segment let mut index_writer = index.writer_with_num_threads(1, 40_000_000).unwrap(); { // 0 let doc = doc!(text_field=>"a b"); index_writer.add_document(doc); } { // 1 index_writer.delete_term(Term::from_field_text(text_field, "c")); } index_writer.rollback().unwrap(); } { index.load_searchers().unwrap(); let searcher = index.searcher(); let reader = searcher.segment_reader(0); let inverted_index = reader.inverted_index(term_abcd.field()); assert!( inverted_index .read_postings(&term_abcd, IndexRecordOption::WithFreqsAndPositions) .is_none() ); { let mut postings = inverted_index .read_postings(&term_a, IndexRecordOption::WithFreqsAndPositions) .unwrap(); assert!(advance_undeleted(&mut postings, reader)); assert_eq!(postings.doc(), 5); assert!(!advance_undeleted(&mut postings, reader)); } { let mut postings = inverted_index .read_postings(&term_b, IndexRecordOption::WithFreqsAndPositions) .unwrap(); assert!(advance_undeleted(&mut postings, reader)); assert_eq!(postings.doc(), 3); assert!(advance_undeleted(&mut postings, reader)); assert_eq!(postings.doc(), 4); assert!(!advance_undeleted(&mut postings, reader)); } } { // writing the segment let mut index_writer = index.writer_with_num_threads(1, 40_000_000).unwrap(); { let doc = doc!(text_field=>"a b"); index_writer.add_document(doc); } { index_writer.delete_term(Term::from_field_text(text_field, "c")); } index_writer.rollback().unwrap(); index_writer.delete_term(Term::from_field_text(text_field, "a")); index_writer.commit().unwrap(); } { index.load_searchers().unwrap(); let searcher = index.searcher(); let reader = searcher.segment_reader(0); let inverted_index = reader.inverted_index(term_abcd.field()); assert!( inverted_index .read_postings(&term_abcd, IndexRecordOption::WithFreqsAndPositions) .is_none() ); { let mut postings = inverted_index .read_postings(&term_a, IndexRecordOption::WithFreqsAndPositions) .unwrap(); assert!(!advance_undeleted(&mut postings, reader)); } { let mut postings = inverted_index .read_postings(&term_b, IndexRecordOption::WithFreqsAndPositions) .unwrap(); assert!(advance_undeleted(&mut postings, reader)); assert_eq!(postings.doc(), 3); assert!(advance_undeleted(&mut postings, reader)); assert_eq!(postings.doc(), 4); assert!(!advance_undeleted(&mut postings, reader)); } { let mut postings = inverted_index .read_postings(&term_c, IndexRecordOption::WithFreqsAndPositions) .unwrap(); assert!(advance_undeleted(&mut postings, reader)); assert_eq!(postings.doc(), 4); assert!(!advance_undeleted(&mut postings, reader)); } } } #[test] fn test_indexed_u64() { let mut schema_builder = SchemaBuilder::default(); let field = schema_builder.add_u64_field("value", INT_INDEXED); let schema = schema_builder.build(); let index = Index::create_in_ram(schema); let mut index_writer = index.writer_with_num_threads(1, 40_000_000).unwrap(); index_writer.add_document(doc!(field=>1u64)); index_writer.commit().unwrap(); index.load_searchers().unwrap(); let searcher = index.searcher(); let term = Term::from_field_u64(field, 1u64); let mut postings = searcher .segment_reader(0) .inverted_index(term.field()) .read_postings(&term, IndexRecordOption::Basic) .unwrap(); assert!(postings.advance()); assert_eq!(postings.doc(), 0); assert!(!postings.advance()); } #[test] fn test_indexed_i64() { let mut schema_builder = SchemaBuilder::default(); let value_field = schema_builder.add_i64_field("value", INT_INDEXED); let schema = schema_builder.build(); let index = Index::create_in_ram(schema); let mut index_writer = index.writer_with_num_threads(1, 40_000_000).unwrap(); let negative_val = -1i64; index_writer.add_document(doc!(value_field => negative_val)); index_writer.commit().unwrap(); index.load_searchers().unwrap(); let searcher = index.searcher(); let term = Term::from_field_i64(value_field, negative_val); let mut postings = searcher .segment_reader(0) .inverted_index(term.field()) .read_postings(&term, IndexRecordOption::Basic) .unwrap(); assert!(postings.advance()); assert_eq!(postings.doc(), 0); assert!(!postings.advance()); } #[test] fn test_indexedfield_not_in_documents() { let mut schema_builder = SchemaBuilder::default(); let text_field = schema_builder.add_text_field("text", TEXT); let absent_field = schema_builder.add_text_field("text", TEXT); let schema = schema_builder.build(); let index = Index::create_in_ram(schema); let mut index_writer = index.writer_with_num_threads(2, 40_000_000).unwrap(); index_writer.add_document(doc!(text_field=>"a")); assert!(index_writer.commit().is_ok()); assert!(index.load_searchers().is_ok()); let searcher = index.searcher(); let segment_reader = searcher.segment_reader(0); segment_reader.inverted_index(absent_field); //< should not panic } #[test] fn test_delete_postings2() { let mut schema_builder = SchemaBuilder::default(); let text_field = schema_builder.add_text_field("text", TEXT); let schema = schema_builder.build(); let index = Index::create_in_ram(schema); // writing the segment let mut index_writer = index.writer_with_num_threads(2, 40_000_000).unwrap(); let add_document = |index_writer: &mut IndexWriter, val: &'static str| { let doc = doc!(text_field=>val); index_writer.add_document(doc); }; let remove_document = |index_writer: &mut IndexWriter, val: &'static str| { let delterm = Term::from_field_text(text_field, val); index_writer.delete_term(delterm); }; add_document(&mut index_writer, "63"); add_document(&mut index_writer, "70"); add_document(&mut index_writer, "34"); add_document(&mut index_writer, "1"); add_document(&mut index_writer, "38"); add_document(&mut index_writer, "33"); add_document(&mut index_writer, "40"); add_document(&mut index_writer, "17"); remove_document(&mut index_writer, "38"); remove_document(&mut index_writer, "34"); index_writer.commit().unwrap(); index.load_searchers().unwrap(); let searcher = index.searcher(); assert_eq!(searcher.num_docs(), 6); } #[test] fn test_termfreq() { let mut schema_builder = SchemaBuilder::default(); let text_field = schema_builder.add_text_field("text", TEXT); let schema = schema_builder.build(); let index = Index::create_in_ram(schema); { // writing the segment let mut index_writer = index.writer_with_num_threads(1, 40_000_000).unwrap(); { let doc = doc!(text_field=>"af af af bc bc"); index_writer.add_document(doc); } index_writer.commit().unwrap(); } { index.load_searchers().unwrap(); let searcher = index.searcher(); let reader = searcher.segment_reader(0); let inverted_index = reader.inverted_index(text_field); let term_abcd = Term::from_field_text(text_field, "abcd"); assert!( inverted_index .read_postings(&term_abcd, IndexRecordOption::WithFreqsAndPositions) .is_none() ); let term_af = Term::from_field_text(text_field, "af"); let mut postings = inverted_index .read_postings(&term_af, IndexRecordOption::WithFreqsAndPositions) .unwrap(); assert!(postings.advance()); assert_eq!(postings.doc(), 0); assert_eq!(postings.term_freq(), 3); assert!(!postings.advance()); } } #[test] fn test_searcher_1() { let mut schema_builder = SchemaBuilder::default(); let text_field = schema_builder.add_text_field("text", TEXT); let schema = schema_builder.build(); let index = Index::create_in_ram(schema); { // writing the segment let mut index_writer = index.writer_with_num_threads(1, 40_000_000).unwrap(); { let doc = doc!(text_field=>"af af af b"); index_writer.add_document(doc); } { let doc = doc!(text_field=>"a b c"); index_writer.add_document(doc); } { let doc = doc!(text_field=>"a b c d"); index_writer.add_document(doc); } index_writer.commit().unwrap(); } { index.load_searchers().unwrap(); let searcher = index.searcher(); let get_doc_ids = |terms: Vec| { let query = BooleanQuery::new_multiterms_query(terms); let mut collector = TestCollector::default(); assert!(searcher.search(&query, &mut collector).is_ok()); collector.docs() }; { assert_eq!( get_doc_ids(vec![Term::from_field_text(text_field, "a")]), vec![1, 2] ); } { assert_eq!( get_doc_ids(vec![Term::from_field_text(text_field, "af")]), vec![0] ); } { assert_eq!( get_doc_ids(vec![Term::from_field_text(text_field, "b")]), vec![0, 1, 2] ); } { assert_eq!( get_doc_ids(vec![Term::from_field_text(text_field, "c")]), vec![1, 2] ); } { assert_eq!( get_doc_ids(vec![Term::from_field_text(text_field, "d")]), vec![2] ); } { assert_eq!( get_doc_ids(vec![ Term::from_field_text(text_field, "b"), Term::from_field_text(text_field, "a"), ]), vec![0, 1, 2] ); } } } #[test] fn test_searcher_2() { let mut schema_builder = SchemaBuilder::default(); let text_field = schema_builder.add_text_field("text", TEXT); let schema = schema_builder.build(); let index = Index::create_in_ram(schema); { // writing the segment let mut index_writer = index.writer_with_num_threads(1, 40_000_000).unwrap(); { let doc = doc!(text_field=>"af b"); index_writer.add_document(doc); } { let doc = doc!(text_field=>"a b c"); index_writer.add_document(doc); } { let doc = doc!(text_field=>"a b c d"); index_writer.add_document(doc); } index_writer.commit().unwrap(); } index.searcher(); } #[test] fn test_doc_macro() { let mut schema_builder = SchemaBuilder::default(); let text_field = schema_builder.add_text_field("text", TEXT); let other_text_field = schema_builder.add_text_field("text2", TEXT); let document = doc!(text_field => "tantivy", text_field => "some other value", other_text_field => "short"); assert_eq!(document.len(), 3); let values = document.get_all(text_field); assert_eq!(values.len(), 2); assert_eq!(values[0].text(), "tantivy"); assert_eq!(values[1].text(), "some other value"); let values = document.get_all(other_text_field); assert_eq!(values.len(), 1); assert_eq!(values[0].text(), "short"); } #[test] fn test_wrong_fast_field_type() { let mut schema_builder = SchemaBuilder::default(); let fast_field_unsigned = schema_builder.add_u64_field("unsigned", FAST); let fast_field_signed = schema_builder.add_i64_field("signed", FAST); let text_field = schema_builder.add_text_field("text", TEXT); let stored_int_field = schema_builder.add_u64_field("text", INT_STORED); let schema = schema_builder.build(); let index = Index::create_in_ram(schema); let mut index_writer = index.writer_with_num_threads(1, 50_000_000).unwrap(); { let document = doc!(fast_field_unsigned => 4u64, fast_field_signed=>4i64); index_writer.add_document(document); index_writer.commit().unwrap(); } index.load_searchers().unwrap(); let searcher = index.searcher(); let segment_reader: &SegmentReader = searcher.segment_reader(0); { let fast_field_reader_res = segment_reader.fast_field_reader::(text_field); assert!(fast_field_reader_res.is_err()); } { let fast_field_reader_res = segment_reader.fast_field_reader::(stored_int_field); assert!(fast_field_reader_res.is_err()); } { let fast_field_reader_res = segment_reader.fast_field_reader::(fast_field_signed); assert!(fast_field_reader_res.is_err()); } { let fast_field_reader_res = segment_reader.fast_field_reader::(fast_field_signed); assert!(fast_field_reader_res.is_ok()); let fast_field_reader = fast_field_reader_res.unwrap(); assert_eq!(fast_field_reader.get(0), 4i64) } { let fast_field_reader_res = segment_reader.fast_field_reader::(fast_field_signed); assert!(fast_field_reader_res.is_ok()); let fast_field_reader = fast_field_reader_res.unwrap(); assert_eq!(fast_field_reader.get(0), 4i64) } } }