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检查数据库数据字段命名规范与合法性的脚本

时间:2021-07-01 10:21:17 帮助过:6人阅读

-- 检查 不符合 数据库 命名 规范 的字段名 Select TABLE_NAME,COLUMN_NAME,DATA_TYPE From user_tab_columns Where column_name In --(Select keyword From v$reserved_words) (ACCESS,ADD,ALL,ALTER,AND,ANY,AS,ASC,AUDIT, BETWEEN,BY,CHAR,CHECK,CLUSTER,

--检查不符合数据库命名规范的字段名

  Select TABLE_NAME,COLUMN_NAME,DATA_TYPE
  From user_tab_columns
  Where column_name In --(Select keyword From v$reserved_words)
  ('ACCESS','ADD','ALL','ALTER','AND','ANY','AS','ASC','AUDIT',
  'BETWEEN','BY','CHAR','CHECK','CLUSTER',
  'COLUMN','COMMENT','COMPRESS','CONNECT','CREATE','CURRENT',
  'DATE','DECIMAL','DEFAULT','DELETE',
  'DESC','DISTINCT','DROP','ELSE','EXCLUSIVE','EXISTS','FILE',
  'FLOAT','FOR','FROM','GRANT','GROUP',
  'HAVING','IDENTIFIED','IMMEDIATE','IN','INCREMENT','INDEX',
  'INITIAL','INSERT','INTEGER','INTERSECT',
  'INTO','IS','LEVEL','LIKE','LOCK','LONG','MAXEXTENTS','MINUS',
  'MLSLABEL','MODE','MODIFY','NOAUDIT',
  'NOCOMPRESS','NOT','NOWAIT','NULL','NUMBER','OF','OFFLINE','ON',
  'ONLINE','OPTION','OR','ORDER',
  'PCTFREE','PRIOR','PRIVILEGES','PUBLIC','RAW','RENAME','RESOURCE',
  'REVOKE','ROW','ROWID','ROWNUM',
  'ROWS','SELECT','SESSION','SET','SHARE','SIZE','SMALLINT','START',
  'SUCCESSFUL','SYNONYM','SYSDATE',
  'TABLE','THEN','TO','TRIGGER','UID','UNION','UNIQUE','UPDATE',
  'USER','VALIDATE','valueS','VARCHAR',
  'VARCHAR2','VIEW','WHENEVER','WHERE','WITH')
  Or column_name Like '% %'

--检查数据库中相同名字不同类型的字段名

select a.column_name,a.data_type,b.data_type From
  (select distinct column_name,data_type from
  all_tab_columns Where TABLE_NAME Like 'T%') a,
  (select distinct column_name,data_type from
  all_tab_columns Where TABLE_NAME Like 'T%') b
  where a.column_name=b.column_name and a.data_type<>b.data_type

--检查数据库中相同名字相同类型不同长度的字段名

  select a.column_name,a.data_type,b.data_type,
  a.data_length,b.data_length From
  (select distinct column_name,data_type,
  data_length from all_tab_columns Where TABLE_NAME Like 'T%') a,
  (select distinct column_name,data_type,
  data_length from all_tab_columns Where TABLE_NAME Like 'T%') b
  where a.column_name=b.column_name and a.data_type=b.data_type And A.DATA_LENGTH<>B.DATA_LENGTH

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