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https://github.com/quickwit-oss/tantivy.git
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167 lines
5.5 KiB
Rust
167 lines
5.5 KiB
Rust
//! Schema definition for tantivy's indices.
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//!
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//! # Setting your schema in Tantivy
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//!
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//! Tantivy has a very strict schema.
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//! The schema defines information about the fields your index contains, that is, for each field:
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//!
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//! the field name (may only contain letters `[a-zA-Z]`, number `[0-9]`, and `_`)
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//! the type of the field (currently only `text` and `u64` are supported)
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//! how the field should be indexed / stored.
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//!
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//! This very last point is critical as it will enable / disable some of the functionality
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//! for your index.
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//!
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//! Tantivy's schema is stored within the `meta.json` file at the root of your
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//! directory.
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//!
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//!
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//!
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//! # Building a schema "programmatically"
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//!
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//!
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//! ## Setting a text field
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//!
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//! ### Example
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//!
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//! ```
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//! use tantivy::schema::*;
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//! let mut schema_builder = Schema::builder();
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//! let title_options = TextOptions::default()
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//! .set_stored()
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//! .set_indexing_options(TextFieldIndexing::default()
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//! .set_tokenizer("default")
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//! .set_index_option(IndexRecordOption::WithFreqsAndPositions));
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//! schema_builder.add_text_field("title", title_options);
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//! let schema = schema_builder.build();
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//! ```
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//!
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//! We can split the problem of generating a search result page into two phases :
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//!
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//! identifying the list of 10 or so documents to be displayed (Conceptually `query -> doc_ids[]`)
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//! for each of these documents, retrieving the information required to generate
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//! the search results page. (`doc_ids[] -> Document[]`)
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//!
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//! In the first phase, the ability to search for documents by the given field is determined by the
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//! [`IndexRecordOption`](enum.IndexRecordOption.html) of our
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//! [`TextOptions`](struct.TextOptions.html).
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//!
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//! The effect of each possible setting is described more in detail
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//! [`TextIndexingOptions`](enum.TextIndexingOptions.html).
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//!
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//! On the other hand setting the field as stored or not determines whether the field should be
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//! returned when [`searcher.doc(doc_address)`](../struct.Searcher.html#method.doc) is called.
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//!
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//!
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//! ## Setting a u64, a i64 or a f64 field
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//!
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//! ### Example
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//!
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//! ```
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//! use tantivy::schema::*;
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//! let mut schema_builder = Schema::builder();
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//! let num_stars_options = IntOptions::default()
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//! .set_stored()
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//! .set_indexed();
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//! schema_builder.add_u64_field("num_stars", num_stars_options);
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//! let schema = schema_builder.build();
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//! ```
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//!
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//! Just like for Text fields (see above),
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//! setting the field as stored defines whether the field will be
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//! returned when [`searcher.doc(doc_address)`](../struct.Searcher.html#method.doc) is called,
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//! and setting the field as indexed means that we will be able perform queries such as
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//! `num_stars:10`. Note that unlike text fields, u64 can only be indexed in one way for the moment.
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//! This may change when we will start supporting range queries.
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//!
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//! The `fast` option on the other hand is specific to u64 fields, and is only relevant
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//! if you are implementing your own queries. This functionality is somewhat similar to Lucene's
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//! `DocValues`.
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//!
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//! u64 that are indexed as fast will be stored in a special data structure that will
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//! make it possible to access the u64 value given the doc id rapidly. This is useful if the value
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//! of the field is required during scoring or collection for instance.
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//!
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//!
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//! ### Shortcuts
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//!
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//!
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//! For convenience, it is possible to define your field indexing options by combining different
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//! flags using the `|` operator.
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//!
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//! For instance, a schema containing the two fields defined in the example above could be rewritten
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//! :
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//!
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//! ```
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//! use tantivy::schema::*;
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//! let mut schema_builder = Schema::builder();
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//! schema_builder.add_u64_field("num_stars", INDEXED | STORED);
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//! schema_builder.add_text_field("title", TEXT | STORED);
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//! let schema = schema_builder.build();
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//! ```
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mod document;
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mod facet;
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mod facet_options;
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mod schema;
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pub(crate) mod term;
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mod field_entry;
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mod field_type;
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mod field_value;
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mod bytes_options;
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mod field;
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mod index_record_option;
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mod int_options;
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mod json_object_options;
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mod named_field_document;
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mod text_options;
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mod value;
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mod flags;
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mod json_object_utils;
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mod term_writer;
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pub use self::bytes_options::BytesOptions;
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pub use self::document::Document;
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pub(crate) use self::facet::FACET_SEP_BYTE;
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pub use self::facet::{Facet, FacetParseError};
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pub use self::facet_options::FacetOptions;
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pub use self::field::Field;
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pub use self::field_entry::FieldEntry;
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pub use self::field_type::{FieldType, Type};
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pub use self::field_value::FieldValue;
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pub use self::flags::{FAST, INDEXED, STORED};
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pub use self::index_record_option::IndexRecordOption;
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pub use self::int_options::{Cardinality, IntOptions};
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pub use self::named_field_document::NamedFieldDocument;
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pub use self::schema::{DocParsingError, Schema, SchemaBuilder};
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pub use self::term::Term;
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pub use self::text_options::{TextFieldIndexing, TextOptions, STRING, TEXT};
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pub use self::value::Value;
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pub use self::json_object_options::JsonObjectOptions;
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/// Validator for a potential `field_name`.
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/// Returns true if the name can be use for a field name.
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///
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/// A field name can be any character, must have at least one character
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/// and must not start with a `-`.
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pub fn is_valid_field_name(field_name: &str) -> bool {
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!field_name.is_empty() && !field_name.starts_with('-')
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}
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#[cfg(test)]
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mod tests {
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use super::is_valid_field_name;
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#[test]
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fn test_is_valid_name() {
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assert!(is_valid_field_name("シャボン玉"));
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assert!(!is_valid_field_name("-fieldname"));
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assert!(!is_valid_field_name(""));
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}
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}
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