Consultas MySQL útiles
Las 10 bases de datos más grandes del servidor
MySQL:
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SELECT
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count(*) TABLES,
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table_schema,CONCAT(ROUND(sum(table_rows)/1000000,2),'M') rows,
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CONCAT(ROUND(sum(data_length)/(1024*1024*1024),2),'G') DATA,
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CONCAT(ROUND(sum(index_length)/(1024*1024*1024),2),'G') idx,
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CONCAT(ROUND(sum(data_length+index_length)/(1024*1024*1024),2),'G') total_size,
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ROUND(sum(index_length)/sum(data_length),2) idxfrac
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FROM information_schema.TABLES
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GROUP BY table_schema
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ORDER BY sum(data_length+index_length) DESC LIMIT 10;
Número total de tablas, registros, tamaño de datos y tamaño de índices en nuestro servidor
MySQL:
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SELECT count(*) TABLES,
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CONCAT(ROUND(sum(table_rows)/1000000,2),'M') rows,
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CONCAT(ROUND(sum(data_length)/(1024*1024*1024),2),'G') DATA,
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CONCAT(ROUND(sum(index_length)/(1024*1024*1024),2),'G') idx,
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CONCAT(ROUND(sum(data_length+index_length)/(1024*1024*1024),2),'G') total_size,
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ROUND(sum(index_length)/sum(data_length),2) idxfrac
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FROM information_schema.TABLES;
Los 10 motores de almacenamiento más utilizados
MySQL:
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SELECT ENGINE , count( * )
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TABLES , CONCAT( ROUND( sum( table_rows ) /1000000, 2 ) , 'M' )
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ROWS , CONCAT( ROUND( sum( data_length ) / ( 1024 *1024 *1024 ) , 2 ) , 'G' )
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DATA , CONCAT( ROUND( sum( index_length ) / ( 1024 *1024 *1024 ) , 2 ) , 'G' ) idx, CONCAT( ROUND( sum( data_length + index_length ) / ( 1024 *1024 *1024 ) , 2 ) , 'G' ) total_size, ROUND( sum( index_length ) / sum( data_length ) , 2 ) idxfrac
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FROM information_schema.TABLES
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GROUP BY ENGINE
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ORDER BY sum( data_length + index_length ) DESC
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LIMIT 10 ;
Términos relacionados:
