One way to estimate the impact of chained rows is to just look into the "table fetch continued row" statistic - you can run your query/workload and measure this metric from v$sesstat (with snapper for example). And one more way to estimate the total number of chained pieces would be to run something like SELECT /*+ FULL(t) */ MIN(last_col) FROM t and see how much the "table fetch continued row" metric increases throughout the full table scan. The last_col would be the (physical) last column of the table. Note that if your wide row is chained into let's say 4 pieces, then you'd see the metric increase by 3 for a row where 4th row piece had to be fetched. I've written about this here: http://blog.tanelpoder.com/2009/11/04/detect-chained-and-migrated-rows-in-oracle/ -- *Tanel Poder* Enkitec (The Exadata Experts) Training <http://blog.tanelpoder.com/seminar/> | Troubleshooting<http://blog.tanelpoder.com/> | Exadata<http://www.amazon.com/Expert-Oracle-Exadata-Apress/dp/1430233923> | Voicee App <http://voic.ee/> On Mon, Apr 15, 2013 at 5:57 PM, Jeffrey Beckstrom <JBECKSTROM@xxxxxxxxx>wrote: > DBMS_STATS does not compute number of chained rows. > analyze table x list chained rows - this does but if the table is large > and has lots of chained rows, then need a lot of rollback space for rows > inserted into the chained_rows table. > > Is there another way to just get a count of chained rows? > > > Jeffrey Beckstrom > Database Administrator > Greater Cleveland Regional Transit Authority > Information Systems > 1240 W. 6th Street > Cleveland, Ohio 44113 > > -- > //www.freelists.org/webpage/oracle-l > > > -- //www.freelists.org/webpage/oracle-l