这个存储过程列出表，统计记录，并在最后生成记录的总数。

添加此过程后运行:

CALL `COUNT_ALL_RECORDS_BY_TABLE` ();

-

过程:

DELIMITER $$

CREATE DEFINER=`root`@`127.0.0.1` PROCEDURE `COUNT_ALL_RECORDS_BY_TABLE`()
BEGIN
DECLARE done INT DEFAULT 0;
DECLARE TNAME CHAR(255);

DECLARE table_names CURSOR for 
    SELECT table_name FROM INFORMATION_SCHEMA.TABLES WHERE TABLE_SCHEMA = DATABASE();

DECLARE CONTINUE HANDLER FOR NOT FOUND SET done = 1;

OPEN table_names;   

DROP TABLE IF EXISTS TCOUNTS;
CREATE TEMPORARY TABLE TCOUNTS 
  (
    TABLE_NAME CHAR(255),
    RECORD_COUNT INT
  ) ENGINE = MEMORY; 


WHILE done = 0 DO

  FETCH NEXT FROM table_names INTO TNAME;

   IF done = 0 THEN
    SET @SQL_TXT = CONCAT("INSERT INTO TCOUNTS(SELECT '" , TNAME  , "' AS TABLE_NAME, COUNT(*) AS RECORD_COUNT FROM ", TNAME, ")");

    PREPARE stmt_name FROM @SQL_TXT;
    EXECUTE stmt_name;
    DEALLOCATE PREPARE stmt_name;  
  END IF;

END WHILE;

CLOSE table_names;

SELECT * FROM TCOUNTS;

SELECT SUM(RECORD_COUNT) AS TOTAL_DATABASE_RECORD_CT FROM TCOUNTS;

END

对于这个估算问题，有一点hack/workaround。

Auto_Increment -由于某些原因，如果您在表上设置了自动增量，则此函数将为数据库返回更准确的行数。

在探索为什么显示表信息与实际数据不匹配时发现了这一点。

SELECT
table_schema 'Database',
SUM(data_length + index_length) AS 'DBSize',
SUM(TABLE_ROWS) AS DBRows,
SUM(AUTO_INCREMENT) AS DBAutoIncCount
FROM information_schema.tables
GROUP BY table_schema;


+--------------------+-----------+---------+----------------+
| Database           | DBSize    | DBRows  | DBAutoIncCount |
+--------------------+-----------+---------+----------------+
| Core               |  35241984 |   76057 |           8341 |
| information_schema |    163840 |    NULL |           NULL |
| jspServ            |     49152 |      11 |            856 |
| mysql              |   7069265 |   30023 |              1 |
| net_snmp           |  47415296 |   95123 |            324 |
| performance_schema |         0 | 1395326 |           NULL |
| sys                |     16384 |       6 |           NULL |
| WebCal             |    655360 |    2809 |           NULL |
| WxObs              | 494256128 |  530533 |        3066752 |
+--------------------+-----------+---------+----------------+
9 rows in set (0.40 sec)

然后，您可以轻松地使用PHP或其他工具返回2个数据列的最大值，以给出行数的“最佳估计”。

即。

SELECT
table_schema 'Database',
SUM(data_length + index_length) AS 'DBSize',
GREATEST(SUM(TABLE_ROWS), SUM(AUTO_INCREMENT)) AS DBRows
FROM information_schema.tables
GROUP BY table_schema;

Auto Increment将始终是+1 *(表数)行，但即使有4000个表和300万行，这也是99.9%的准确性。比估计的行数好多了。

这样做的好处是，performance_schema中返回的行计数也会被擦除，因为greatest对null无效。但是，如果没有带有自动递增功能的表，这可能是个问题。

这是我如何使用PHP计算表和所有记录:

$dtb = mysql_query("SHOW TABLES") or die (mysql_error());
$jmltbl = 0;
$jml_record = 0;
$jml_record = 0;

while ($row = mysql_fetch_array($dtb)) { 
    $sql1 = mysql_query("SELECT * FROM " . $row[0]);            
    $jml_record = mysql_num_rows($sql1);            
    echo "Table: " . $row[0] . ": " . $jml_record record . "<br>";      
    $jmltbl++;
    $jml_record += $jml_record;
}

echo "--------------------------------<br>$jmltbl Tables, $jml_record > records.";

如果你使用数据库information_schema，你可以使用下面的mysql代码(where部分使查询不显示行为空值的表):

SELECT TABLE_NAME, TABLE_ROWS
FROM `TABLES`
WHERE `TABLE_ROWS` >=0

你可以用表格把一些东西组合在一起。我从来没有这样做过，但它看起来有一个列用于TABLE_ROWS和一个列用于TABLE NAME。

要获取每个表的行，你可以使用这样的查询:

SELECT table_name, table_rows
FROM INFORMATION_SCHEMA.TABLES
WHERE TABLE_SCHEMA = '**YOUR SCHEMA**';

还有一个选择:对于非InnoDB，它使用information_schema中的数据。TABLES(因为它更快)，对于InnoDB -选择count(*)来获得准确的计数。它还会忽略视图。

SET @table_schema = DATABASE();
-- or SET @table_schema = 'my_db_name';

SET GROUP_CONCAT_MAX_LEN=131072;
SET @selects = NULL;

SELECT GROUP_CONCAT(
        'SELECT "', table_name,'" as TABLE_NAME, COUNT(*) as TABLE_ROWS FROM `', table_name, '`'
        SEPARATOR '\nUNION\n') INTO @selects
  FROM information_schema.TABLES
  WHERE TABLE_SCHEMA = @table_schema
        AND ENGINE = 'InnoDB'
        AND TABLE_TYPE = "BASE TABLE";

SELECT CONCAT_WS('\nUNION\n',
  CONCAT('SELECT TABLE_NAME, TABLE_ROWS FROM information_schema.TABLES WHERE TABLE_SCHEMA = ? AND ENGINE <> "InnoDB" AND TABLE_TYPE = "BASE TABLE"'),
  @selects) INTO @selects;

PREPARE stmt FROM @selects;
EXECUTE stmt USING @table_schema;
DEALLOCATE PREPARE stmt;

如果你的数据库有很多大的InnoDB表，计算所有行会花费更多的时间。