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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(())
}