Oracle OEM 13c offers the possibility to generate reports about Oracle Database Tablespace Monthly Space Usage. The displayed information is quite useful and display a lot of information:
The report displays the details for each month and for each tablespace, but the GUI is sometimes painful: you have a nice report but many tablespaces and many numbers :=(
At a client’s site, I had the following behavior: a production database had its data files distributed across three file system /u01 /u01 and /u03. And I wanted to know the evolution of the data files available size for each disk.
My first idea was to write sql requests querying the tablespace history view dba_hist_tbspc_space_usage, but this view does not contain any information about the file system, and as a consequence it is not possible to know how much space will be needed by each file system in the future.
OEM 13c offers the capability of viewing graphs for most of the metrics within OEM, but forecasting and trending capabilities are not present, and most of the category of metrics are set up for real time alerting, not for historical trending.
And I did not find any views like dba_hist_datafiles_space_usage :=)
So I checked in EM13c to verify that the file system space usage is correctly monitored. Naturally each file system is monitored and triggers a warning when the available space is below 20%, or a critical alert when it is below 5%.
As a consequence I had the idea to query the OEM 13c repository views, and this was the good solution.
At first we can query the mgmt.$alert_current to display the alerts generated on the metric_name Filesystems over target of type host:
SQL> select target_name , target_type, metric_name, metric_column, column_label,alert_state, violation_level 2 FROM MGMT$ALERT_CURRENT 3 where metric_name ='Filesystems' 4 and target_guid in (SELECT target_guid 5 FROM mgmt$target 6* WHERE target_type ='host'); em13c.localdomain host Filesystems pctAvailable Filesystem Space Available (%) Warning 20
There is a lot of management repository views providing access to target, metrics and monitoring information stored in the Management Repository. Those views offer the possibility to create your own scripts to query historical data from those views.
In my case I used the gc$metric_values_daily view corresponding to the data in the EM_METRIC_VALUES_DAILY table:
SQL> desc gc$metric_values_daily Name Null? Type ----------------------------------------- -------- ---------------------------- ENTITY_TYPE NOT NULL VARCHAR2(64) ENTITY_NAME NOT NULL VARCHAR2(256) ENTITY_GUID NOT NULL RAW(16) PARENT_ME_TYPE VARCHAR2(64) PARENT_ME_NAME VARCHAR2(256) PARENT_ME_GUID NOT NULL RAW(16) TYPE_META_VER NOT NULL VARCHAR2(8) METRIC_GROUP_NAME NOT NULL VARCHAR2(64) METRIC_COLUMN_NAME NOT NULL VARCHAR2(64) COLUMN_TYPE NOT NULL NUMBER(1) COLUMN_INDEX NOT NULL NUMBER(3) DATA_COLUMN_TYPE NOT NULL NUMBER(2) METRIC_GROUP_ID NOT NULL NUMBER(38) METRIC_GROUP_LABEL VARCHAR2(64) METRIC_GROUP_LABEL_NLSID VARCHAR2(64) METRIC_COLUMN_ID NOT NULL NUMBER(38) METRIC_COLUMN_LABEL VARCHAR2(64) METRIC_COLUMN_LABEL_NLSID VARCHAR2(64) DESCRIPTION VARCHAR2(1024) SHORT_NAME VARCHAR2(40) UNIT VARCHAR2(64) IS_FOR_SUMMARY NUMBER IS_STATEFUL NUMBER NON_THRESHOLDED_ALERTS NUMBER METRIC_KEY_ID NOT NULL NUMBER(38) KEY_PART_1 NOT NULL VARCHAR2(256) KEY_PART_2 NOT NULL VARCHAR2(256) KEY_PART_3 NOT NULL VARCHAR2(256) KEY_PART_4 NOT NULL VARCHAR2(256) KEY_PART_5 NOT NULL VARCHAR2(256) KEY_PART_6 NOT NULL VARCHAR2(256) KEY_PART_7 NOT NULL VARCHAR2(256) COLLECTION_TIME NOT NULL DATE COLLECTION_TIME_UTC DATE COUNT_OF_COLLECTIONS NOT NULL NUMBER(38) AVG_VALUE NUMBER MIN_VALUE NUMBER MAX_VALUE NUMBER STDDEV_VALUE NUMBER
The main column signification:
ENTITY_TYPE | The type of the target. Host, oracle_database |
ENTITY_NAME | The target or component name for example the hostname |
METRIC_GROUP_NAME | Name of the metric group for example filesystems |
METRIC_COLUMN_NAME | Name of the metric column for example available, pct |
KEY_PART_1 | Key part 1 of composite key for example name of the file system |
KEY_PART_2 | Key part 2 of composite key |
COLLECTION_TIME | Collection time in target time zone |
AVG_VALUE | Average value of metric for the day |
MIN_VALUE | Minimum value of metric for the day |
MAX_VALUE | Maximum value of metric for the day |
So in my case I only have to execute the following SQL request:
select entity_name, key_part_1, collection_time, avg_value as avg, avg_value/1000000 as percent from gc$metric_values_daily where metric_group_name='Filesystems' and metric_column_name= 'available' and key_part_1='/u01' and entity_name ='oraprod.com' order by 1,2 / oraprod.com /u01 04-OCT-16 169545.44 .380928435 oraprod.com /u01 05-OCT-16 169572.44 .380928435 oraprod.com /u01 06-OCT-16 169583.44 .380928435 … oraprod.com /u01 17-NOV-18 169538.44 .172295163 oraprod.com /u01 18-NOV-18 169538.44 .172295163 oraprod.com /u01 19-NOV-18 169525.94 .172282459 oraprod.com /u01 20-NOV-18 169498.44 .172254512
With this result I can easily know how much space is consumed by each file system during the time. We can use Excel’s capabilities to determine the trend of the file system available size.
Conclusion:
We often forget that OEM is not only a graphical administration tool, the main interesting part of OEM is that OEM stores date at regular intervals for important metrics into the management repository. If you understand the management repository views structure, you will have extraordinary possibilities to extract historical data, build graphs in order to analyze more precisely your infrastructure.
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