1. Oracle进程检查
Ps –ef |grep ora
2. CRS进程检查
$ps –df |grep d.bin
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crsctl check crs
crs_stat –t
crs_stat –ls
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asm进程检查:
ps –ef|grep asm
ORACLE_SID=+ASM1
select group_number,name,state,total_mb,free_mb from v$asm_diskgroup;
select * from v$asm_disk;
检查数据库状态:
srvctl status database –d dbname
3. Oracle数据库实例状态检查
SELECT inst_id, instance_name, host_name, VERSION, TO_CHAR (startup_time, 'yyyy-mm-dd hh24:mi:ss') startup_time, status, archiver, database_status FROM gv$instance;
4. Oracle数据库打开状态检查
SELECT inst_id, dbid, NAME, TO_CHAR (created, 'yyyy-mm-dd hh24:mi:ss') created, log_mode, TO_CHAR (version_time, 'yyyy-mm-dd hh24:mi:ss') version_time,open_mode
FROM gv$database;
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5. 数据库表空间使用情况检查;
<wbr><wbr><wbr></wbr></wbr></wbr> 5.1 表空间的空间使用情况
SELECT<wbr><wbr></wbr></wbr> df.tablespace_name, COUNT (*) datafile_count,
ROUND (SUM (df.BYTES) / 1048576) size_mb,
ROUND (SUM (free.BYTES) / 1048576, 2) free_mb,
ROUND (SUM (df.BYTES) / 1048576 - SUM (free.BYTES) / 1048576, 2 ) used_mb,
ROUND (MAX (free.maxbytes) / 1048576, 2) maxfree,
100 - ROUND (100.0 * SUM (free.BYTES) / SUM (df.BYTES), 2) pct_used,
ROUND (100.0 * SUM (free.BYTES) / SUM (df.BYTES), 2) pct_free
FROM dba_data_files df,
<wbr></wbr>(SELECT<wbr><wbr></wbr></wbr> tablespace_name, file_id, SUM (BYTES) BYTES, MAX (BYTES) maxbytes FROM dba_free_space GROUP BY tablespace_name, file_id) free
WHERE df.tablespace_name = free.tablespace_name(+) AND df.file_id = free.file_id(+)
GROUP BY df.tablespace_name ORDER BY 8;
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<wbr><wbr><wbr></wbr></wbr></wbr> 5.2 表空间可用性检查
select tablespace_name,status from dba_tablespaces;
<wbr><wbr><wbr></wbr></wbr></wbr> 5.3 临时表空间使用情况和性能检查
SELECT tablespace_name, extent_management, block_size, initial_extent, next_extent, min_extents, max_extents, pct_increase FROM dba_tablespaces WHERE CONTENTS = 'TEMPORARY';
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SELECT username, default_tablespace, temporary_tablespace FROM dba_users;
期望结果:根据现场实际情况,应用用户的缺省表空间不能为system,临时表空间必须为temp。
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<wbr><wbr><wbr></wbr></wbr></wbr> 5.4 回滚表空间使用情况检查和性能检查
SELECT * FROM v$parameter WHERE NAME LIKE 'undo%';
select segment_name,status from dba_rollback_segs;
<wbr><wbr><wbr></wbr></wbr></wbr> 5.5 根据几次检查的统计信息估计表空间的增长情况,并且据此为管理人员提供空间升级建议。
col file_name format a20
col size_mb format a10
SELECT df.file_id, df.file_name, df.size_mb,
<wbr><wbr><wbr><wbr><wbr><wbr></wbr></wbr></wbr></wbr></wbr></wbr> <wbr><wbr><wbr><wbr><wbr><wbr></wbr></wbr></wbr></wbr></wbr></wbr> NVL (free.maxfree, 0) maxfree_mb,
<wbr><wbr><wbr><wbr><wbr><wbr></wbr></wbr></wbr></wbr></wbr></wbr> <wbr><wbr><wbr><wbr><wbr><wbr></wbr></wbr></wbr></wbr></wbr></wbr> ROUND (NVL (free.free_mb, 0), 2) free_mb,
<wbr><wbr><wbr><wbr><wbr><wbr></wbr></wbr></wbr></wbr></wbr></wbr> <wbr><wbr><wbr><wbr><wbr><wbr></wbr></wbr></wbr></wbr></wbr></wbr> 100 - ROUND (100.0 * NVL (free.free_mb, 0) / df.size_mb, 2) pct_used,
<wbr><wbr><wbr><wbr><wbr><wbr></wbr></wbr></wbr></wbr></wbr></wbr> <wbr><wbr><wbr><wbr><wbr><wbr></wbr></wbr></wbr></wbr></wbr></wbr> ROUND (100.0 * NVL (free.free_mb, 0) / df.size_mb, 2) pct_free
<wbr><wbr><wbr><wbr><wbr><wbr></wbr></wbr></wbr></wbr></wbr></wbr> <wbr></wbr> FROM (SELECT file_id, file_name, tablespace_name, BYTES / 1048576 size_mb
<wbr><wbr><wbr><wbr><wbr><wbr></wbr></wbr></wbr></wbr></wbr></wbr> <wbr><wbr><wbr><wbr><wbr><wbr><wbr><wbr><wbr></wbr></wbr></wbr></wbr></wbr></wbr></wbr></wbr></wbr> FROM dba_data_files) df,
<wbr><wbr><wbr><wbr><wbr><wbr></wbr></wbr></wbr></wbr></wbr></wbr> <wbr><wbr><wbr><wbr><wbr><wbr></wbr></wbr></wbr></wbr></wbr></wbr> (SELECT<wbr><wbr></wbr></wbr> file_id, SUM (BYTES) / 1048576 free_mb,
<wbr><wbr><wbr><wbr><wbr><wbr></wbr></wbr></wbr></wbr></wbr></wbr> <wbr><wbr><wbr><wbr><wbr><wbr><wbr><wbr><wbr><wbr><wbr><wbr><wbr><wbr><wbr><wbr></wbr></wbr></wbr></wbr></wbr></wbr></wbr></wbr></wbr></wbr></wbr></wbr></wbr></wbr></wbr></wbr> TRUNC (MAX (BYTES / 1024 / 1024), 2) maxfree
<wbr><wbr><wbr><wbr><wbr><wbr></wbr></wbr></wbr></wbr></wbr></wbr> <wbr><wbr><wbr><wbr><wbr><wbr><wbr><wbr><wbr><wbr><wbr></wbr></wbr></wbr></wbr></wbr></wbr></wbr></wbr></wbr></wbr></wbr> FROM dba_free_space
<wbr><wbr><wbr><wbr><wbr><wbr></wbr></wbr></wbr></wbr></wbr></wbr> <wbr><wbr><wbr><wbr><wbr><wbr><wbr></wbr></wbr></wbr></wbr></wbr></wbr></wbr> GROUP BY file_id) free
<wbr><wbr><wbr><wbr><wbr><wbr></wbr></wbr></wbr></wbr></wbr></wbr> <wbr></wbr>WHERE df.file_id = free.file_id(+)
<wbr><wbr><wbr><wbr><wbr><wbr></wbr></wbr></wbr></wbr></wbr></wbr> <wbr></wbr>ORDER BY 7;
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6. 数据库告警日志检查;
<wbr><wbr><wbr></wbr></wbr></wbr> 6.1 检查自上次检查以来是否有数据库结构的修改,如果有则与管理人员加以确认。
<wbr><wbr><wbr></wbr></wbr></wbr> 6.2 分析最近时间段redo的切换频率,如果过于频繁或间隔太长则与管理人员确认解决方案。
SELECT<wbr><wbr></wbr></wbr> TO_CHAR (first_time, 'yyyy-mm-dd') DAY, COUNT (*) switch_times, SUM (DECODE (TO_CHAR (first_time, 'hh24'), '00', 1, 0)) h00, SUM (DECODE (TO_CHAR (first_time, 'hh24'), '01', 1, 0)) h01, SUM (DECODE (TO_CHAR (first_time, 'hh24'), '02', 1, 0)) h02, SUM (DECODE (TO_CHAR (first_time, 'hh24'), '03', 1, 0)) h03, SUM (DECODE (TO_CHAR (first_time, 'hh24'), '04', 1, 0)) h04, SUM (DECODE (TO_CHAR (first_time, 'hh24'), '05', 1, 0)) h05, SUM (DECODE (TO_CHAR (first_time, 'hh24'), '06', 1, 0)) h06, SUM (DECODE (TO_CHAR (first_time, 'hh24'), '07', 1, 0)) h07, SUM (DECODE (TO_CHAR (first_time, 'hh24'), '08', 1, 0)) h08,
SUM (DECODE (TO_CHAR (first_time, 'hh24'), '09', 1, 0)) h09,
SUM (DECODE (TO_CHAR (first_time, 'hh24'), '10', 1, 0)) h10,
SUM (DECODE (TO_CHAR (first_time, 'hh24'), '11', 1, 0)) h11,
SUM (DECODE (TO_CHAR (first_time, 'hh24'), '12', 1, 0)) h12,
SUM (DECODE (TO_CHAR (first_time, 'hh24'), '13', 1, 0)) h13,
SUM (DECODE (TO_CHAR (first_time, 'hh24'), '14', 1, 0)) h14,
SUM (DECODE (TO_CHAR (first_time, 'hh24'), '15', 1, 0)) h15,
SUM (DECODE (TO_CHAR (first_time, 'hh24'), '16', 1, 0)) h16,
SUM (DECODE (TO_CHAR (first_time, 'hh24'), '17', 1, 0)) h17,
SUM (DECODE (TO_CHAR (first_time, 'hh24'), '18', 1, 0)) h18,
SUM (DECODE (TO_CHAR (first_time, 'hh24'), '19', 1, 0)) h19,
SUM (DECODE (TO_CHAR (first_time, 'hh24'), '20', 1, 0)) h20,
SUM (DECODE (TO_CHAR (first_time, 'hh24'), '21', 1, 0)) h21,
SUM (DECODE (TO_CHAR (first_time, 'hh24'), '22', 1, 0)) h22,
SUM (DECODE (TO_CHAR (first_time, 'hh24'), '23', 1, 0)) h23
FROM v$log_history
WHERE first_time > TRUNC (SYSDATE - 30)
GROUP BY ROLLUP (TO_CHAR (first_time, 'yyyy-mm-dd'));
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<wbr>6.3</wbr> 查找自上次检查以来所有的ora错误并作出分析。
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