awr warehouse

7/23/2019 Awr Warehouse

http://slidepdf.com/reader/full/awr-warehouse 1/35



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About ebay inc and me (Samrat Roy)

ebay inc is a global commerce platform and paymen

•

Senior Engineer in ebay inc’s Database Engineerin

•

Working with Oracle Database for more than 10 ye

• Helped create and maintain the Custom AWR/DB m

database



Production Environment

• Mostly 11g RAC, ASM and Exadata

•

One of the busiest OLTP database• 500+ database instances, from 10 – 130 TB each

• 5-10K processes per instance

• Execs 100K/sec, Redo 5-10MB/sec

•

Growing workload 40% year-on-year• EM 12c monitors 100+ db targets including 5 criticadatabases running payment system, user data app



Business and DBA Requirement for custom AWR WBusiness Problem:

• Find and fix database performance degradation proactively and post upgrade

• Proactively add capacity (storage/compute) in a timely planned manner

• Compare application schemas between stage and production

which when translated to DBA problem statements and solutions :

• Monitor and capture W-o-W, (Week-over-Week) and M-o-M (Month-over-Month) deviation for DB metrics, ena

• W-o-W deviation weekly and on-demand

• SQL profiling for W-o-W deviation in execs, lio, pio, cpu, elapsed time

• Daily ASH trend for significant wait events and W-o-W comparison

• Daily W-o-W “Busy-ness” report from Time Model statistics for all databases

• Track storage growth to generate storage TTL (Time to Live), compute add or storage uplift for Primary as well

•

Follow GoldenGate trail from source to each downstream db• Schema comparison report between stage and production db

• Compare AWR data pre/post upgrade for new database wholly or partially (moving only few schemas)

Also answer DBA type questions for ongoing operations, for e.g:

• When table A was dropped, renamed or what column was added and when

• Table “busyness” by time of day for scheduling table maintenance across both Production and Active DataGua

• Compare Initialization parameter, patch, compute, storage between Current Primary and Switchover Target

•

Global Database Metadata: Version, Type, Role, CPU, Memory, Storage (Primary/Standby, etc.)



Track health across all dbs W-o-W

Time Model Stats - WoW

========================================

DBNAME NAME PMDAY VALUE(Secs) % diff

PCT%

---------------- --------------------------- -------------------- ----------------------

DB_A_LIVE DB time 09-09-2014 TUESDAY 32182100 -49%

09-16-2014 TUESDAY 46089640 43%

09-23-2014 TUESDAY 55498930 20%

sql execute elapsed time 09-09-2014 TUESDAY 26196035 -50%

09-16-2014 TUESDAY 36871712 42%

09-23-2014 TUESDAY 49219127 31%

DB_B_LIVE DB time 09-09-2014 TUESDAY 43825650 2%

09-16-2014 TUESDAY 44263906 1%

09-23-2014 TUESDAY 43821266 -1%

sql execute elapsed time 09-09-2014 TUESDAY 35060520 3%

09-16-2014 TUESDAY 35411125 1%

09-23-2014 TUESDAY 35410117 -0.1%



Track top waits and SQL profile across all d

SQL Profile Trend report - WoW==============================

DBNAME DAY SQL_ID Ex% Buf% Elp% Cpu% Phy% Ex# Buf# P-------------------------- --------------- ----- ---- ------- ------- --------

DB_A_LIVE 09-09-2014 TUE dktb2hv6v9d46 .30 3.27 2.39 2.40 3.74 82 1

fbhuck3ryu014 1.79 2.89 1.92 1.67 1.15 6 2 1

09-16-2014 TUE 1kuyk21zwn1ac 9.50 9.01 15.02 9.37 8.00 9 1

dktb2hv6v9d46 .50 4.10 3.89 3.20 4.54 83 3

DBNAME EVENT_NAME time:HH WAITTIME WAITPCT---------------- ------------------------------- ------------ --- --------------------------------- ---------DB_A_LIVE enq: TX - row lock contention 09-SEP-2014 TUE 5943 23%

16-SEP-2014 TUE 41771 68%23-SEP-2014 TUE 80101 92%

Streams miscellaneous event 09-SEP-2014 TUE 18358 71%

16-SEP-2014 TUE 17956 29%

DBNAME EVENT_NAME time:HH WAITTIME WAITPCT

---------------- -------------------------------------------- --------------- ------------------------------DB_B_LIVE db file sequential read 09-SEP-2014 TUE 40 6%

16-SEP-2014 TUE 32 3%

23-SEP-2014 TUE 28 5%



Further drill down on sql_id

Turns out SQL is a “SELECT-FOR-UPDATE” causing high enqueue waits impacting oveexecute elapsed time and higher CPU time

@sqlbyid

Enter value for sql_id : 1kuyk21zwn1ac

/* sample sql for sql_id 1kuyk21zwn1ac*/SELECT * from A FOR UPDATE;

SNAP_ID DBNAME EXECS_DELTA AVG_BG AVG_IO AVG_ROW•

---------- ------------------------------ ----------- ---------- ---------- ---------------------------------------

118140 DB_A_LIVE 9256 100.4 .7 7.6



Future

• OEM AWR Warehouse being considered

• May use for performance tracking and integrated dashboard

•

Will need to extend the AWR Warehouse for functionality like ADG performanc



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