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A full-text index in MySQL is an index of type FULLTEXT. Full-text indexes can be used only with InnoDB or MyISAM tables, and can be created only for CHAR, VARCHAR, or TEXT columns. MySQL provides a built-in full-text ngram parser that supports Chinese, Japanese, and Korean (CJK), and an installable MeCab full-text parser plugin for Japanese.
- 8.0 Japanese
mysql では、次のような全文インデックス設定および検索がサポートされています。 MySQL の全文インデックスは、型...
- String Functions and Operators
String-valued functions return NULL if the length of the...
- Regular Expressions
MySQL implements regular expression support using...
- Ngram Full-Text Parser
The ngram full-text parser is a built-in server plugin. As...
- 8.0 Japanese
15 lut 2020 · Here is the list of the sample databases and their installation process. Sakila Database (documentation | download) World Database (documentation | download) Employee Data (documentation | download) Out of all the three databases, Sakila database is my favorite database.
14.9.1 Natural Language Full-Text Searches. By default or with the IN NATURAL LANGUAGE. MODE modifier, the MATCH() function performs a natural language search for a string against a text collection. A collection is a set of one or more columns included in a FULLTEXT index.
Download MySQL Sample Database. You can download the sample database from the following link: Download MySQL Sample Database. The download file is in ZIP format, so you’ll need a zip program to unzip it. You can download a free zip program at www.7-zip.org.
MySQL full-text search is an efficient way to perform complex searches within the text data stored in the database. The MySQL full-text search allows you to search natural language text rather than matching patterns. It goes beyond the traditional LIKE operator and regular expression searches.
17 cze 2016 · Checkout https://launchpad.net/test-db/+download. it has about 6 tables i believe, suggest downloading the full archive. The export data is around 167 MB.
24 lis 2011 · I have chosen to compare the performance of LIKE to MATCH AGAINST in the context of searching text fields. The MySQL sample "Employees" DB was recommended to us but it doesn't really have any text fields with long text values.
