How to Tune EM Metric Alert "Average Users Waiting Count"?

We have been getting below EM alert frequently , How can tune/fix this issue?
Metric=Average Users Waiting Count
Wait Class=Concurrency
Severity=Warning
Message=Metrics "Average Users Waiting Counts" is at 84.66522 for event class "Concurrency"

Have a look at this to understand the Metrics first.
Average Users Waiting Count
<br>
Oracle Database FAQs
</br>

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#1) Set your pga_aggregate_target large enough so that the average disk sort in meg is greater than 200 meg. This way most of the sorts will be done in memory and I/O waits on sorting will not slow down other processing.
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CURACAO9 86.37 430521443475 99.16 1766521
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db_block_buffers 240000
Alter system set db_block_buffers=360000 scope=spfile;
#3) Set your log_buffer=14 meg (The 10g default on Unix) because cpu's today can write several meg a second.
SYS AS SYSDBA> alter system set log_buffer=163840 scope=spfile;
SYS AS SYSDBA> shutdown immediate;
SYS AS SYSDBA> startup
SYS AS SYSDBA> @insert_a_million_rows
Elapsed: 00:00:01.89 (time to insert a million rows is 1.89 seconds.
SYS AS SYSDBA> alter system set log_buffer=14680064 scope=spfile;
SYS AS SYSDBA> shutdown immediate;
SYS AS SYSDBA> startup
SYS AS SYSDBA> @insert_a_million_rows
Elapsed: 00:00:01.84 (time to insert a million rows is now 2% better.
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#4) Make sure you are not doing log swaps more than three per hour.
SQL> select count(*)/5/24 average_log_swaps_per_hour from v$loghist where first_time > sysdate-5;
AVERAGE_LOG_SWAPS_PER_HOUR
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Seconds_Wait WAITS_PER_HOUR %_wait EVENT_NAME
45,859,349 22116.2837 79 db file sequential read
4,188,633 2020.024 7 library cache load lock
3,878,043 1870.23811 6 buffer busy waits
1,592,185 767.852326 2 library cache pin
748,263 360.860025 1 db file scattered read
We see that there is a large amount of waiting on seqential reads. This can be helped by increasing the buffer cache (and archiving historic rows), better indexing, tuning sql, and upgrading the hardware.
Also the system is latching on the library cache and v$latch will show this:
ECURACAO9 > select name,wait_time from v$latch
2 where wait_time > (select 1*avg(wait_time) from v$latch)
3 order by wait_time;
NAME WAIT_TIME
library cache pin allocation 7484686
process allocation 10019421
row cache objects 23045242
parallel query alloc buffer 33908108
library cache load lock 54770430
SQL memory manager latch 108655668
library cache 139125871
session allocation 174105073
shared pool 278591232
library cache pin 803601839
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#6) Look at sar and identify if we have mostly a cpu problem, an I/O problem or no problem.
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select cpu_time,sql_text from v$sqlarea order by cpu_time;
b) If an I/O problem, identify the worst I/O hogs by:
select DISK_READS,sql_text from v$sqlarea order by disk_reads;
#7) Look at the logical reads and writes verses the physical reads and writes:
EDEVPROD> alter system set statistics_level=TYPICAL scope=both;
System altered.
EDEVPROD > select sum(value),statistic_name,owner||'.'||object_name
2 from v$segment_statistics
3 where upper(statistic_name) like '%WRITE%' or
4 upper(statistic_name) like '%READ%' or
5 upper(statistic_name) like '%LOGICAL%'
6 group by statistic_name,owner||'.'||object_name
7 order by sum(value);
SUM(VALUE) STATISTIC_NAME OWNER||'.'||OBJECT_NAME
249477 physical reads GUIDE_PROD.SAVED_FOLDERS
251904 logical reads SYS.I_OBJAUTH2
286880 logical reads SYS.I_SYSAUTH1
301760 logical reads SYS.DUAL
307696 logical reads SYS.I_ARGUMENT2
348992 logical reads SYSTEM.AQ$_QUEUE_TABLES
361168 logical reads GUIDE_PROD.XPKSEARCH_KEYWORDS
463728 logical reads SYS.OBJ$
639504 logical reads GUIDE_PROD.SRATING_RATINGS
668688 logical reads GUIDE_PROD.REPLOG_MIG
8333408 logical reads GUIDE_PROD.SAVED_FOLDERS
8516864 logical reads GUIDE_PROD.SYS_C004048
Logical reads burn up cpu, and can be helped by adding indexes and tuning sql. It is rare but the cpu can be impacted by too many indexes on inserts and that can be helped by removing indexes or removing writes.
Physical reads burn up I/O and that can be helped by better partitioning, better indexing, purging historic rows and tuning sql. If a sql burn up a lot of I/O on a small table, it is because the query is not run frequently enough to stay in memory, and you have to cache small lookup tables to avoid the reads with "alter table scott.emp cache;"
#8) Look at what is taking up most of the memory and work to tune those reads and writes:
EPANAY9 > SELECT COUNT(*)*8192/1024/1024 meg_in_memory,
2 o.object_type,o.OBJECT_NAME Object_in_Memory
3 FROM DBA_OBJECTS o, V$BH bh
4 WHERE o.DATA_OBJECT_ID = bh.OBJD
5 GROUP BY o.OBJECT_NAME,o.object_type
6 having COUNT(*)*8192/1024/1024>100
7 ORDER BY COUNT(*);
MEG_IN_MEMORY OBJECT_TYPE OBJECT_IN_MEMORY
120 INDEX SYS_C004290
138 INDEX XPKLOCATIONS
148 INDEX XPKENTITIES
215 TABLE ENTITIES
262 TABLE USERS
267 TABLE LOCATIONS
1405 TABLE REVIEWS
In this case the reviews table needs better indexing or a purge or rows. If the table is partitioned, sometimes recreating the partitions smaller will help.
9) Look at when you do the most log swaps, and add the append hint and nologging to create and insert statements in intermediate (work) tables that do not need to be replicated or restored vi the redo logs.
EMUSH9 > select to_char(first_time,'MM-DD-RRRR HH24:MI:SS')
2 "swaps_last_day"
3 from v$loghist where first_time > sysdate-1;
swaps_last_day
05-22-2007 12:47:02
05-22-2007 12:58:35
05-22-2007 13:11:06
05-22-2007 13:22:29
05-22-2007 13:33:39
05-22-2007 13:44:32
05-22-2007 14:12:47
05-22-2007 15:05:42
05-22-2007 18:19:47
05-22-2007 18:31:54
05-22-2007 18:43:12
05-22-2007 18:54:42
05-22-2007 19:08:02
05-22-2007 19:19:51
05-22-2007 19:37:17
05-22-2007 19:49:57
05-22-2007 20:02:12
05-22-2007 20:14:28
05-22-2007 20:25:53
05-22-2007 20:39:32
05-22-2007 20:54:16
05-22-2007 21:12:06
05-22-2007 23:05:08
05-23-2007 05:32:15
05-23-2007 06:25:37
05-23-2007 07:40:25
05-23-2007 07:51:29
05-23-2007 08:04:13
05-23-2007 08:17:07
05-23-2007 08:29:35
05-23-2007 08:40:27
05-23-2007 09:07:18
05-23-2007 10:51:10
05-23-2007 11:13:20
34 rows selected.
In this database, Between 6 and 8 in the evening a job does a lot of log swaps, also between 7:30 and 9 in the morning. These jobs should be looked at to reduce the redo logs using
insert /*+ APPEND */ into owner.intermediate_table nologging select * from some_other_table; and
create table owner.intermediate_table nologging as select * from some_other_table;

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