问题：

生产环境相同的inser语句在别的非.NET程序相应明显快于.NET程序，执行时间相差比较大，影响正常业务运行，测试环境反而正常。

问题详细诊断过程

问题初步判断诊断过程：
查询插入慢的sql_id

检查对应的执行计划，未发现异常，SQL A-TIME实际内部执行时间为1毫秒

使用SQL trace跟踪insert数据库内部执行情况，总时间不到12毫秒
进一步对会话进行会话跟踪

由于是3层架构，执行会话不固定，进行多次跟踪后并未发现有用信息。
检查应用服务器的等待事件信息

进一步使用SQL monitor跟踪客户端，发现非业务SQL语句，内容如下：

根据客户端的ip及应用程序，后台数据库查询等待语句

发现sql_id为’byvg6t5kz8xk0’的语句有等待现象，通过查询该sql语句
sql > select sql_text from v$sql where sql_id=‘byvg6t5kz8xk0’;
select ac.constraint_name key_name, acc.column_name key_col,:“SYS_B_0” from all_cons_columns acc, all_constraints ac where acc.owner = ac.owner and acc.constraint_name = ac.constraint_name and acc.table_name = ac.table_name and ac.constraint_type = :“SYS_B_1” and ac.owner = :OwnerName and ac.table_name = :TableName order by acc.constraint_name
比较客户端抓取的语句，发现该语句在sqlmonitor中抓取的也存在，在插入数据前面有两条查询系统表的语句，实际上应用并没有执行这两条语句。

使用

对问题ip发起的IIS会话进行跟踪

结果显示在跟踪时段内，一共解析与执行6次，总耗时0.02秒，进一步证实单独的插入过程在数据库内执行效率不存在异常。
在跟踪文件中，发现.net发起的查询系统all_synonyms和all_cons_columns、all_constraints关联表信息，这些系统查询也花费了不少时间，该多余查询也影响了客户端的返回时间，建议调整.net参数Cache Size的配置大小增加.net的缓存。

进一步分析

获取AWR、ash报告：

发现select ac.constraint_name key_name, acc.column_name key_col,:“SYS_B_0” from all_cons_columns acc, all_constraints ac where acc.owner = ac.owner and acc.constraint_name = ac.constraint_name and acc.table_name = ac.table_name and ac.constraint_type = :“SYS_B_1” and ac.owner = :OwnerName and ac.table_name = :TableName order by acc.constraint_name语句执行非常频繁。
查询Oracle官方文档，该SQL语句为.NET特性自动发起的语句，解释如下：

具体官方文档为Frequent Query on ALL_CONS_COLUMNS And ALL_CONSTRAINTS When Using ODP.Net Statement Caching (Doc ID 1386371.1)，官方解释该语句确实为.NET自身发起，而非程序生成的语句。
解决办法为增加.NET端语句缓存，一次执行多次使用，调整Statement Cache Size=200
比较生产（有问题）和测试（正常）数据库的执行计划，下图为有异常的生产环境执行计划，走的是全表访问

下图为测试环境正常的执行计划，走的是索引

通过10053跟踪，发现数据库确实选择了强制进行全表查询

这说明走全表查询在数据库层面认为消耗比走索引低，查询使用列柱状信息

select a.owner,
a.table_name,
a.column_name,
b.num_rows,
a.num_distinct,
trunc(num_distinct / num_rows * 100, 2) selectivity,
‘Need Gather Histogram’ notice
from dba_tab_col_statistics a, dba_tables b
where a.owner = b.owner
and a.owner = ‘&1’
and a.table_name = ‘&2’
and a.table_name = b.table_name
AND ROUND(num_distinct * 100 / num_rows, 1) < 1
and (a.owner, a.table_name, a.column_name) in
(select r.name owner, o.name table_name, c.name column_name
from sys.col_usage$ u, sys.obj$ o, sys.col$ c, sys.user$ r
where o.obj# = u.obj#
and c.obj# = u.obj#
and c.col# = u.intcol#
and r.name = ‘&1’
and o.name = ‘&2’)
and a.histogram = ‘NONE’;

关联使用到CONKaTeX parse error: Expected 'EOF', got '#' at position 9: 所在列OWNER#̲，列的信息没有收集，依然使用默…所在列OWNER#做统计信息收集。**
BEGIN
DBMS_STATS.GATHER_TABLE_STATS(ownname => ‘SYS’,
tabname => ‘CON$’,
estimate_percent => 100,
method_opt => ‘for columns OWNER# size skewonly’,
no_invalidate => FALSE,
cascade => TRUE);
END;
/
方法二：对查询的sql_id做SQLTUNE分析
DECLARE
sts_task VARCHAR2(64);
tname VARCHAR2(100);
sta_exists number;
BEGIN
SELECT count(*)
INTO sta_exists
FROM DBA_ADVISOR_TASKS
WHERE rownum = 1 AND
task_name = ‘sql_t’;
IF sta_exists = 1 THEN
SYS.DBMS_SQLTUNE.DROP_TUNING_TASK(
task_name=>‘sql_t’
);
ELSE
DBMS_OUTPUT.PUT_LINE(‘SQL Tuning Task does not exist - will be created …’);
END IF;
tname := DBMS_SQLTUNE.CREATE_TUNING_TASK(
sql_id => ‘3x8zzrb65m96v’,
plan_hash_value =>‘2760998173’,
time_limit => 360,
task_name => ‘sql_t’,
description => ‘sql_id_al’);
DBMS_SQLTUNE.EXECUTE_TUNING_TASK(
task_name => ‘sql_t’);
END;
/
查询优化建议，建议接受性能较好的sqlprofile：
SQL> set linesize 999 pagesize 0
SQL> SELECT DBMS_SQLTUNE.REPORT_TUNING_TASK(task_name=>‘sql_t’, section=>‘FINDINGS’, result_limit => 20) FROM DUAL;
GENERAL INFORMATION SECTION

---

Tuning Task Name : sql_t
Tuning Task Owner : SYS
Workload Type : Single SQL Statement
Scope : COMPREHENSIVE
Time Limit(seconds): 360
Completion Status : COMPLETED
Started at : 04/02/2020 16:30:07
Completed at : 04/02/2020 16:30:45

---

Schema Name: EMR
SQL ID : 3x8zzrb65m96v
SQL Text : select ac.constraint_name key_name, acc.column_name key_col,1
from all_cons_columns acc, all_constraints ac where acc.owner =
ac.owner and acc.constraint_name = ac.constraint_name and
acc.table_name = ac.table_name and ac.constraint_type = ‘P’ and
ac.owner = :OwnerName and ac.table_name = :TableName order by
acc.constraint_name
Bind Variables :
1 - (VARCHAR2(32)):BSRUN
2 - (VARCHAR2(32)):ZY_BQYZ_EXTEND

---

FINDINGS SECTION (1 finding)

---

1- SQL Profile Finding (see explain plans section below)

---

A potentially better execution plan was found for this statement.
Recommendation (estimated benefit: 99.82%)

---

• Consider accepting the recommended SQL profile.

execute dbms_sqltune.accept_sql_profile(task_name => ‘sql_t’, task_owner
=> ‘SYS’, replace => TRUE);
Validation results

---

The SQL profile was tested by executing both its plan and the original plan
and measuring their respective execution statistics. A plan may have been
only partially executed if the other could be run to completion in less time.
Original Plan With SQL Profile % Improved

---

Completion Status: COMPLETE COMPLETE
Elapsed Time (s): .309383 .006609 97.86 %
CPU Time (s): .308203 .006499 97.89 %
User I/O Time (s): 0 0
Buffer Gets: 86203 152 99.82 %
Physical Read Requests: 0 0
Physical Write Requests: 0 0
Physical Read Bytes: 0 0
Physical Write Bytes: 0 0
Rows Processed: 1 1
Fetches: 1 1
Executions: 1 1
Notes

---

1. Statistics for the original plan were averaged over 4 executions.
2. Statistics for the SQL profile plan were averaged over 10 executions.

---

SELECT DBMS_SQLTUNE.SCRIPT_TUNING_TASK(task_name=>‘sql_t_byvg6t5kz8xk0’, rec_type=>‘ALL’) FROM DUAL;
SQL> SELECT DBMS_SQLTUNE.SCRIPT_TUNING_TASK(task_name=>‘sql_t’, rec_type=>‘ALL’) FROM DUAL;

---

• • Script generated by DBMS_SQLTUNE package, advisor framework –
• • Use this script to implement some of the recommendations –
• • made by the SQL tuning advisor. –

---

• • NOTE: this script may need to be edited for your system –
• • (index names, privileges, etc) before it is executed. –

---

接受性能较好的sqlprofile：
execute dbms_sqltune.accept_sql_profile(task_name => ‘sql_t’, replace => TRUE);

性能问题总结

综合上述分析判断：
1、insert SQL语句在数据库内部执行并不慢，在12毫秒左右，唯一与其他程序的区别在于.NET自行发起的内部对象查询非实际应用发起，由于此现象为.NET特性无法改变，官方建议调大.NET端语句缓存，减少对数据库内部对象的查询，提高效率。
2、在数据库层面，对sql查询语句进行优化和对统计信息进行重新收集。