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Tokyo Cabinet is a library of routines for managing a database. It is the successor of QDBM. Tokyo Cabinet runs very fast. For example, the time required to store 1 million records is 1.5 seconds for a hash database and 2.2 seconds for a B+ tree database. Moreover, the database size is very small. For example, the overhead for a record is 16 bytes for a hash database, and 5 bytes for a B+ tree database. Furthermore, the scalability of Tokyo Cabinet is great. The database size can be up to 8EB.

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2009-06-22 04:57 Back to release list
1.4.27

거꾸로 인덱스의 두 가지 종류의 테이블을 데이터베이스 API에 추가되었습니다. 토큰 색인 태그 검색 거꾸로 알고있습니다. 질문 - 그램 거꾸로 지수는 알게 전체 텍스트를 검색할 수있습니다.
Two kinds of inverted indices were added to the table database API. Token inverted index realizes tag search. Q-gram inverted index realizes full-text search.

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