use tantivy::schema::*; // # Document from json // // For convenience, `Document` can be parsed directly from json. fn main() -> tantivy::Result<()> { // Let's first define a schema and an index. // Check out the basic example if this is confusing to you. // // first we need to define a schema ... let mut schema_builder = Schema::builder(); schema_builder.add_text_field("title", TEXT | STORED); schema_builder.add_text_field("body", TEXT); schema_builder.add_u64_field("year", INDEXED); let schema = schema_builder.build(); // Let's assume we have a json-serialized document. let mice_and_men_doc_json = r#"{ "title": "Of Mice and Men", "year": 1937 }"#; // We can parse our document let _mice_and_men_doc = schema.parse_document(mice_and_men_doc_json)?; // Multi-valued field are allowed, they are // expressed in JSON by an array. // The following document has two titles. let frankenstein_json = r#"{ "title": ["Frankenstein", "The Modern Prometheus"], "year": 1818 }"#; let _frankenstein_doc = schema.parse_document(frankenstein_json)?; // Note that the schema is saved in your index directory. // // As a result, Indexes are aware of their schema, and you can use this feature // just by opening an existing `Index`, and calling `index.schema()..parse_document(json)`. Ok(()) }