從一個外國博客引用過來的

SELECT t.TABLE_SCHEMA AS `db`,

t.TABLE_NAME AS `table`,

s.INDEX_NAME AS `index name`,

s.COLUMN_NAME AS `FIELD name`,

s.SEQ_IN_INDEX `seq IN index`,

s2.max_columns AS `# cols`,

s.CARDINALITY AS `card`,

t.TABLE_ROWS AS `est rows`,

ROUND(((s.CARDINALITY / IFNULL(t.TABLE_ROWS, 0.01)) * 100), 2) AS `sel %`

FROM INFORMATION_SCHEMA.STATISTICS s

INNER JOIN INFORMATION_SCHEMA.TABLES t ON s.TABLE_SCHEMA = t.TABLE_SCHEMA AND s.TABLE_NAME = t.TABLE_NAME

INNER JOIN (

SELECT TABLE_SCHEMA, TABLE_NAME, INDEX_NAME, MAX(SEQ_IN_INDEX) AS max_columns

FROM INFORMATION_SCHEMA.STATISTICS

WHERE TABLE_SCHEMA != 'mysql' GROUP BY TABLE_SCHEMA, TABLE_NAME, INDEX_NAME ) AS s2 ON s.TABLE_SCHEMA = s2.TABLE_SCHEMA AND s.TABLE_NAME = s2.TABLE_NAME AND s.INDEX_NAME = s2.INDEX_NAME

WHERE t.TABLE_SCHEMA != 'mysql' /* Filter out the mysql system DB */

AND t.TABLE_ROWS > 10 /* Only tables with some rows */

AND s.CARDINALITY IS NOT NULL /* Need at least one non-NULL value in the field */

AND (s.CARDINALITY / IFNULL(t.TABLE_ROWS, 0.01)) < 1.00 /* unique indexes are perfect anyway */

ORDER BY `sel %`, s.TABLE_SCHEMA, s.TABLE_NAME /* DESC for best non-unique indexes */

LIMIT 10;

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