通过shell脚本得到数据字典的信息 (r2笔记72天)

时间:2022-05-04
本文章向大家介绍通过shell脚本得到数据字典的信息 (r2笔记72天)，主要内容包括其使用实例、应用技巧、基本知识点总结和需要注意事项，具有一定的参考价值，需要的朋友可以参考一下。

在平时的工作中，可能需要查询一些数据字典的信息，比如数据字典对应的基表信息，可以得到更多数据库内部的一些详细信息。 比如user_objects这个数据字典视图，里面可能就包含很多的信息。

首先可以得到，它是一个视图，然后在public上创建了对应的同义词，但是在不用用户使用的使用，查出的结果会不相同，这个其实是根据类似环境变量的一套东西来实现的。 where l.owner# = userenv('SCHEMAID')，它会锁定当前的schema。

OWNER                            OBJECT_ID DATA_OBJECT_ID OBJECT_NAME                     OBJECT_TYPE
------------------------------ ---------- --------------  ------------------------------  -------------------
SYS                                  3305                 USER_OBJECTS                   VIEW
PUBLIC                                3306                USER_OBJECTS                   SYNONYM
synonym_details 
OWNER                          SYNONYM_NAME
------------------------------  ------------------------------
PUBLIC                         USER_OBJECTS
view_details
VIEW_NAME                       TEXT
------------------------------  --------------------------------------------------------------------------------
USER_OBJECTS                    select o.name, o.subname, o.obj#,  o.dataobj#,
                                      decode(o.type#, 0, 'NEXT  OBJECT', 1, 'INDEX', 2, 'TABLE', 3,  'CLUSTER',
                                                     4, 'VIEW', 5,  'SYNONYM', 6,  'SEQUENCE',
                                                     7,  'PROCEDURE', 8, 'FUNCTION', 9,  'PACKAGE',
                                                     11, 'PACKAGE  BODY', 12, 'TRIGGER',
                                                      13, 'TYPE', 14, 'TYPE  BODY',
                                                     19, 'TABLE  PARTITION', 20, 'INDEX PARTITION', 21,  'LOB',
                                                     22, 'LIBRARY',  23, 'DIRECTORY',  24,  'QUEUE',
                                                     28, 'JAVA  SOURCE', 29, 'JAVA CLASS', 30, 'JAVA  RESOURCE',
                                                     32,  'INDEXTYPE', 33,  'OPERATOR',
                                                     34, 'TABLE  SUBPARTITION', 35, 'INDEX  SUBPARTITION',
                                                     40, 'LOB  PARTITION', 41, 'LOB  SUBPARTITION',
                                                     42,  NVL((SELECT 'REWRITE  EQUIVALENCE'
                                                               FROM sum$ s
                                                               WHERE  s.obj#=o.obj#
                                                                     and bitand(s.xpflags, 8388608) =  8388608),
                                                              'MATERIALIZED VIEW'),
                                                      43, 'DIMENSION',
                                                     44,  'CONTEXT', 46, 'RULE SET', 47, 'RESOURCE  PLAN',
                                                     48, 'CONSUMER  GROUP',
                                                     51,  'SUBSCRIPTION', 52,  'LOCATION',
                                                     55, 'XML  SCHEMA', 56, 'JAVA  DATA',
                                                     57, 'EDITION',  59, 'RULE',
                                                     60,  'CAPTURE', 61, 'APPLY',
                                                      62, 'EVALUATION  CONTEXT',
                                                     66, 'JOB', 67,  'PROGRAM', 68, 'JOB CLASS', 69,  'WINDOW',
                                                     72, 'SCHEDULER  GROUP', 74, 'SCHEDULE', 79,  'CHAIN',
                                                     81, 'FILE  GROUP', 82, 'MINING MODEL',  87,  'ASSEMBLY',
                                                     90,  'CREDENTIAL', 92, 'CUBE DIMENSION', 93,  'CUBE',
                                                     94, 'MEASURE  FOLDER', 95, 'CUBE BUILD  PROCESS',
                                                     100, 'FILE  WATCHER', 101,  'DESTINATION',
                                                      'UNDEFINED'),
                                      o.ctime,  o.mtime,
                                      to_char(o.stime,  'YYYY-MM-DD:HH24:MI:SS'),
                                       decode(o.status, 0, 'N/A', 1, 'VALID',  'INVALID'),
                                      decode(bitand(o.flags, 2),  0, 'N', 2, 'Y', 'N'),
                                       decode(bitand(o.flags, 4), 0, 'N', 4, 'Y',  'N'),
                                      decode(bitand(o.flags, 16), 0,  'N', 16, 'Y', 'N'),
                                       o.namespace,
                                       o.defining_edition
                               from sys."_CURRENT_EDITION_OBJ"  o
                               where o.owner# =  userenv('SCHEMAID')
                                 and o.linkname is  null
                                 and (o.type# not in (1  /* INDEX -  handled below */,
                                                     10 /*  NON-EXISTENT */)
                                       or
                                      (o.type# = 1 and 1 = (select  1
                                                            from sys.ind$  i
                                                           where i.obj# =  o.obj#
                                                             and  i.type# in (1, 2, 3, 4, 6, 7, 8, 9))))
                                 and  o.name != '_NEXT_OBJECT'
                                 and o.name !=  '_default_auditing_options_'
                                 and  bitand(o.flags, 128) = 0
 union  all
                               select l.name, NULL,  to_number(null), to_number(null),
                                       'DATABASE LINK',
                                      l.ctime,  to_date(null), NULL, 'VALID', 'N', 'N', 'N', NULL,  NULL
                               from sys.link$  l
                               where l.owner# =  userenv('SCHEMAID')

实现的脚本如下： 

sqlplus -s  / as sysdba <<EOF
COL OBJECT_NAME FORMAT A30
COL  DB_LINK FORMAT A20
COL OWNER FORMAT A30
COL TABLE_OWNER FORMAT A30
COL  TABLE_NAME FORMAT A30
SET LINESIZE 200
SET PAGES 100
SET LONG  999999
prompt object_details
SELECT  OWNER,OBJECT_ID,DATA_OBJECT_ID,OBJECT_NAME,OBJECT_TYPE FROM DBA_OBJECTS WHERE  OBJECT_NAME=UPPER('$1');
prompt synonym_details
SELECT OWNER,SYNONYM_NAME FROM DBA_SYNONYMS WHERE  SYNONYM_NAME=upper('$1');
prompt view_details
SELECT VIEW_NAME,TEXT FROM DBA_VIEWS WHERE  VIEW_NAME=upper('$1');
EOF
exit

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