// # IP Address example // // This example shows how the ip field can be used // with IpV6 and IpV4. use tantivy::collector::{Count, TopDocs}; use tantivy::query::QueryParser; use tantivy::schema::{Schema, FAST, INDEXED, STORED, STRING}; use tantivy::Index; fn main() -> tantivy::Result<()> { // # Defining the schema // We set the IP field as `INDEXED`, so it can be searched // `FAST` will create a fast field. The fast field will be used to execute search queries. // `FAST` is not a requirement for range queries, it can also be executed on the inverted index // which is created by `INDEXED`. let mut schema_builder = Schema::builder(); let event_type = schema_builder.add_text_field("event_type", STRING | STORED); let ip = schema_builder.add_ip_addr_field("ip", STORED | INDEXED | FAST); let schema = schema_builder.build(); // # Indexing documents let index = Index::create_in_ram(schema.clone()); let mut index_writer = index.writer(50_000_000)?; // ### IPv4 // Adding documents that contain an IPv4 address. Notice that the IP addresses are passed as // `String`. Since the field is of type ip, we parse the IP address from the string and store it // internally as IPv6. let doc = schema.parse_document( r#"{ "ip": "192.168.0.33", "event_type": "login" }"#, )?; index_writer.add_document(doc)?; let doc = schema.parse_document( r#"{ "ip": "192.168.0.80", "event_type": "checkout" }"#, )?; index_writer.add_document(doc)?; // ### IPv6 // Adding a document that contains an IPv6 address. let doc = schema.parse_document( r#"{ "ip": "2001:0db8:85a3:0000:0000:8a2e:0370:7334", "event_type": "checkout" }"#, )?; index_writer.add_document(doc)?; // Commit will create a segment containing our documents. index_writer.commit()?; let reader = index.reader()?; let searcher = reader.searcher(); // # Search // Range queries on IPv4. Since we created a fast field, the fast field will be used to execute // the search. // ### Range Queries let query_parser = QueryParser::for_index(&index, vec![event_type, ip]); { // Inclusive range queries let query = query_parser.parse_query("ip:[192.168.0.80 TO 192.168.0.100]")?; let count_docs = searcher.search(&*query, &TopDocs::with_limit(5))?; assert_eq!(count_docs.len(), 1); } { // Exclusive range queries let query = query_parser.parse_query("ip:{192.168.0.80 TO 192.168.1.100]")?; let count_docs = searcher.search(&*query, &TopDocs::with_limit(2))?; assert_eq!(count_docs.len(), 0); } { // Find docs with IP addresses smaller equal 192.168.1.100 let query = query_parser.parse_query("ip:[* TO 192.168.1.100]")?; let count_docs = searcher.search(&*query, &TopDocs::with_limit(2))?; assert_eq!(count_docs.len(), 2); } { // Find docs with IP addresses smaller than 192.168.1.100 let query = query_parser.parse_query("ip:[* TO 192.168.1.100}")?; let count_docs = searcher.search(&*query, &TopDocs::with_limit(2))?; assert_eq!(count_docs.len(), 2); } // ### Exact Queries // Exact search on IPv4. { let query = query_parser.parse_query("ip:192.168.0.80")?; let count_docs = searcher.search(&*query, &Count)?; assert_eq!(count_docs, 1); } // Exact search on IPv6. // IpV6 addresses need to be quoted because they contain `:` { let query = query_parser.parse_query("ip:\"2001:0db8:85a3:0000:0000:8a2e:0370:7334\"")?; let count_docs = searcher.search(&*query, &Count)?; assert_eq!(count_docs, 1); } Ok(()) }