You’ve probably seen questions on the internet occasionally about finding out how frequently an object has been modified. The question is a little ambiguous – does it mean how much change has occurred, or how many DML statements have been executed; either may be an interesting measure. Of course, Oracle gave us a method of answering the first question a long time ago: v$segstat (or v$segment_statistics if you don’t mind doing the join) and the resulting content in the AWR or Statspack reports:
Segments by DB Blocks Changes DB/Inst: XXXXXXXX/XXXXXXXX Snaps: 85563-85564 -> % of Capture shows % of DB Block Changes for each top segment compared -> with total DB Block Changes for all segments captured by the Snapshot Tablespace Subobject Obj. DB Block % of Owner Name Object Name Name Type Changes Capture ---------- ---------- -------------------- ---------- ----- ------------ ------- XXXXXXXXX DATA MLOG$_xxxxxxxxxxxxxx TABLE 1,144,112 22.16 XXXXXXXXX DATA PK_xxxxxxxxxxxxxxxxx INDEX 614,256 11.90 XXXXXXXXX DATA xxxxxxxxxxxxxxx TABLE 490,080 9.49 XXXXXXXXX IDX IDX_xxxxxxxxxxxxxxxx INDEX 353,392 6.84 XXXXXXXXX IDX PK_yyyyyyyyyyyyyyy INDEX 273,664 5.30 -------------------------------------------------------------
There’s still a little ambiguity in this report (in the right circumstances you can change multiple rows in a block while only reporting a single block change), but it’s a very good indicator of the volume of change to an object; but is the million or so block changes due to one SQL statement or 1,000,000 SQL statements ?
With 184.108.40.206 there is an (undocumented) option for finding the answer to that question. Since it’s undocumented I wouldn’t use it on production unless I was really desperate, and even then I’d do the standard “check with Oracle support” first; however I might use it on a test system if I were do something like running tests of a new version of an overnight suite of batch jobs.
You can enable “DML frequency tracking” which seems to count the number of DML statements that modify an object or, to be more accurate, a table. It doesn’t do anything to identify indexes, although it will report index organized tables (using the table name); it won’t identify partition-level DML individually for partitioned tables, it will simply record the DML as being relevant to the table.
To enable the feature you modify hidden parameter _dml_frequency_tracking and then query dynamic performance view v$object_dml_frequencies.
alter system set "_dml_frequency_tracking"=true; select object, working, slot0, slot1, slot2, slot3, slot4 from v$object_dml_frequencies order by working + slot0 + slot1 + slot2 + slot3 ;
The view has 25 columns for numbered “slots”, and a “working” column. Each slot represents a 15 minute interval (set by parameter _dml_frequency_tracking_slot_time) and only 4 slots are maintained by default (set by parameter _dml_frequency_tracking_slots). The values roll from slot to slot every 15 minutes, and the “working” column keeps track of objects that have suffered DML since the last roll-over. Unfortunately there doesn’t seem to be any obvious way of tracking when a roll-over takes place, so you can’t tell how long the “working” column has been active for.
If you have the default 4 slots set, then “working” and slots 0 to 2 are populated with 15 minutes worth of information each, and slot3 seems to be the accumulated history of all accesses since you enabled the feature.
The view sits on top of x$ksxm_dft, but there are no interesting extra columns in the x$ that aren’t displayed in the v$ and gv$. (It’s an interesting little quirk that the v$ doesn’t following the usual pattern of being a view of the gv$ restricted to the current instance.) You can see the information in the shared pool (by querying v$sgastat) in an area named “dml frequency” – although the figure reported the last time I checked was wrong by a factor of roughly 3 – show about 8KB when I was expecting roughly 24KB.
I haven’t spent a lot of time investigating the feature yet, so there are probably a few questions and boundary conditions to test before using it in anger; but there don’t appear to be any special latches associated with the counters (so possibly the results would be under-count in a highly concurrent system, but maybe the results are collected under a mutex).
_dml_frequency_tracking (false) Control DML frequency tracking — can be set at system level on demand
_dml_frequency_tracking_advance (true) Control automatic advance and broadcast of DML frequencies — ?
_dml_frequency_tracking_slot_time (15) Time length of each slot for DML frequency tracking — needs restart
_dml_frequency_tracking_slots ( 4) Number of slots to use for DML frequency tracking — needs restart