zoukankan      html  css  js  c++  java
  • oracle设置awr采集间隔和保留时间

    环境:

    OS:Centos 6

    DB:11.2.0.4

    1.查看当前awr采集时间间隔和保留时间
    SQL> col SNAP_INTERVAL for a20
    SQL> col RETENTION for a20
    SQL> select * from dba_hist_wr_control;

    DBID SNAP_INTERVAL RETENTION TOPNSQL
    ------------------------------ -------------------- -------------------- ------------------------------
    2510643529 +00000 01:00:00.0 +00008 00:00:00.0 DEFAULT
    可以看到当前的采集间隔是1小时,保留时间是7天

    2.修改采集间隔和保留时间
    修改采集间隔为1小时,保留时间是3天
    SQL> BEGIN
    2 DBMS_WORKLOAD_REPOSITORY.MODIFY_SNAPSHOT_SETTINGS(
    3 interval => 60,
    4 retention => 3*24*60);
    5 END;
    6 /
    BEGIN
    *
    ERROR at line 1:
    ORA-13541: system moving window baseline size (604800) greater than retention (259200)
    ORA-06512: at "SYS.DBMS_WORKLOAD_REPOSITORY", line 174
    ORA-06512: at "SYS.DBMS_WORKLOAD_REPOSITORY", line 222
    ORA-06512: at line 2


    报错解决办法,修改基数值
    SQL> SELECT dbid, baseline_name, baseline_type, moving_window_size from dba_hist_baseline;

    DBID BASELINE_NAME BASELINE_TYPE MOVING_WINDOW_SIZE
    ------------------------------ ---------------------
    2510643529 SYSTEM_MOVING_WINDOW MOVING_WINDOW 8

    当前的基数值为8,这里我们修改成7(基数值必须小于或等于AWR快照所设置的保留值)

    修改基数值:
    SQL> exec DBMS_WORKLOAD_REPOSITORY.MODIFY_BASELINE_WINDOW_SIZE(7)

     

    再次执行:
    SQL> BEGIN
    2 DBMS_WORKLOAD_REPOSITORY.MODIFY_SNAPSHOT_SETTINGS(
    3 interval => 60,
    4 retention => 3*24*60);
    5 END;
    6 /

    PL/SQL procedure successfully completed.


    3.查看修改结果
    SQL> select * from dba_hist_wr_control;

    DBID SNAP_INTERVAL RETENTION TOPNSQL
    ------------------------------ -------------------- -------------------- ------------------------------
    2510643529 +00000 01:00:00.0 +00003 00:00:00.0 DEFAULT

  • 相关阅读:
    Windows 10 Shell Commands
    scala spark streaming 打印kafka 数据
    Kafka 与 Flume 如何选择
    Scala map中下划线_._2的含义
    Spark中reduceByKey(_+_)的说明
    spark 内存设置
    windows spark3.1 hdfs 测试
    @Autowired、@Resource、和@Service注解详解
    Python 打印对象
    Python + logging 输出到屏幕,将log日志写入文件
  • 原文地址:https://www.cnblogs.com/hxlasky/p/15204507.html
Copyright © 2011-2022 走看看