网上有很多 数据库 专区 href="http://dev.yesky.com/devsjk" target=_blank>SQL SERVER 数据库 字典 的SQL语句,七零八落,我在工作整理了一下思路,总结SQL代码如下,只在SQLSERVER2000中测试通过,希望对大家有帮助。 1. SqlServer 数据库 字典 --表结构.
网上有很多数据库专区 href="http://dev.yesky.com/devsjk" target=_blank>SQL SERVER数据库字典的SQL语句,七零八落,我在工作整理了一下思路,总结SQL代码如下,只在SQLSERVER2000中测试通过,希望对大家有帮助。
1. SqlServer数据库字典--表结构.sql
以下是引用片段: SELECT TOP 100 PERCENT --a.id, CASE WHEN a.colorder = 1 THEN d.name ELSE '' END AS 表名, CASE WHEN a.colorder = 1 THEN isnull(f.value, '') ELSE '' END AS 表说明, a.colorder AS 字段序号, a.name AS 字段名, CASE WHEN COLUMNPROPERTY(a.id, a.name, 'IsIdentity') = 1 THEN '√' ELSE '' END AS 标识, CASE WHEN EXISTS (SELECT 1 FROM dbo.sysindexes si INNER JOIN dbo.sysindexkeys sik ON si.id = sik.id AND si.indid = sik.indid INNER JOIN dbo.syscolumns sc ON sc.id = sik.id AND sc.colid = sik.colid INNER JOIN dbo.sysobjects so ON so.name = so.name AND so.xtype = 'PK' WHERE sc.id = a.id AND sc.colid = a.colid) THEN '√' ELSE '' END AS 主键, b.name AS 类型, a.length AS 长度, COLUMNPROPERTY(a.id, a.name, 'PRECISION') AS 精度, ISNULL(COLUMNPROPERTY(a.id, a.name, 'Scale'), 0) AS 小数位数, CASE WHEN a.isnullable = 1 THEN '√' ELSE '' END AS 允许空, ISNULL(e.text, '') AS 默认值, ISNULL(g.[value], '') AS 字段说明, d.crdate AS 创建时间, CASE WHEN a.colorder = 1 THEN d.refdate ELSE NULL END AS 更改时间 FROM dbo.syscolumns a LEFT OUTER JOIN dbo.systypes b ON a.xtype = b.xusertype INNER JOIN dbo.sysobjects d ON a.id = d.id AND d.xtype = 'U' AND d.status >= 0 LEFT OUTER JOIN dbo.syscomments e ON a.cdefault = e.id LEFT OUTER JOIN dbo.sysproperties g ON a.id = g.id AND a.colid = g.smallid LEFT OUTER JOIN dbo.sysproperties f ON d.id = f.id AND f.smallid = 0 ORDER BY d.name, a.colorder |
2. SqlServer数据库字典--索引.sql
以下是引用片段: SELECT TOP 100 PERCENT --a.id, CASE WHEN b.keyno = 1 THEN c.name ELSE '' END AS 表名, CASE WHEN b.keyno = 1 THEN a.name ELSE '' END AS 索引名称, d.name AS 列名, b.keyno AS 索引顺序, CASE indexkey_property(c.id, b.indid, b.keyno, 'isdescending') WHEN 1 THEN '降序' WHEN 0 THEN '升序' END AS 排序, CASE WHEN p.id IS NULL THEN '' ELSE '√' END AS 主键, CASE INDEXPROPERTY(c.id, a.name, 'IsClustered') WHEN 1 THEN '√' WHEN 0 THEN '' END AS 聚集, CASE INDEXPROPERTY(c.id, a.name, 'IsUnique') WHEN 1 THEN '√' WHEN 0 THEN '' END AS 唯一, CASE WHEN e.id IS NULL THEN '' ELSE '√' END AS 唯一约束, a.OrigFillFactor AS 填充因子, c.crdate AS 创建时间, c.refdate AS 更改时间 FROM dbo.sysindexes a INNER JOIN dbo.sysindexkeys b ON a.id = b.id AND a.indid = b.indid INNER JOIN dbo.syscolumns d ON b.id = d.id AND b.colid = d.colid INNER JOIN dbo.sysobjects c ON a.id = c.id AND c.xtype = 'U' LEFT OUTER JOIN dbo.sysobjects e ON e.name = a.name AND e.xtype = 'UQ' LEFT OUTER JOIN dbo.sysobjects p ON p.name = a.name AND p.xtype = 'PK' WHERE (OBJECTPROPERTY(a.id, N'IsUserTable') = 1) AND (OBJECTPROPERTY(a.id, N'IsMSShipped') = 0) AND (INDEXPROPERTY(a.id, a.name, 'IsAutoStatistics') = 0) ORDER BY c.name, a.name, b.keyno |
3. SqlServer数据库字典--主键.外键.约束.视图.函数.存储过程.触发器.sql
以下是引用片段: SELECT DISTINCT TOP 100 PERCENT o.xtype, CASE o.xtype WHEN 'X' THEN '扩展存储过程' WHEN 'TR' THEN '触发器' WHEN 'PK' THEN '主键' WHEN 'F' THEN '外键' WHEN 'C' THEN '约束' WHEN 'V' THEN '视图' WHEN 'FN' THEN '函数-标量' WHEN 'IF' THEN '函数-内嵌' WHEN 'TF' THEN '函数-表值' ELSE '存储过程' END AS 类型, o.name AS 对象名, o.crdate AS 创建时间, o.refdate AS 更改时间, c.text AS 声明语句 FROM dbo.sysobjects o LEFT OUTER JOIN dbo.syscomments c ON o.id = c.id WHERE (o.xtype IN ('X', 'TR', 'C', 'V', 'F', 'IF', 'TF', 'FN', 'P', 'PK')) AND (OBJECTPROPERTY(o.id, N'IsMSShipped') = 0) ORDER BY CASE o.xtype WHEN 'X' THEN '扩展存储过程' WHEN 'TR' THEN '触发器' WHEN 'PK' THEN '主键' WHEN 'F' THEN '外键' WHEN 'C' THEN '约束' WHEN 'V' THEN '视图' WHEN 'FN' THEN '函数-标量' WHEN 'IF' THEN '函数-内嵌' WHEN 'TF' THEN '函数-表值' ELSE '存储过程' END DESC |

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The best MySQLVARCHAR column length selection should be based on data analysis, consider future growth, evaluate performance impacts, and character set requirements. 1) Analyze the data to determine typical lengths; 2) Reserve future expansion space; 3) Pay attention to the impact of large lengths on performance; 4) Consider the impact of character sets on storage. Through these steps, the efficiency and scalability of the database can be optimized.


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