ASH Report For EDADBT/edadbt
DB Name | DB Id | Instance | Inst num | Release | RAC | Host |
EDADBT | 1157804911 | edadbt | 1 | 12.2.0.1.0 | NO | p1edadb01t |
CPUs | SGA Size | Buffer Cache | Shared Pool | ASH Buffer Size | In-memory Area Size |
4 | 9,632M (100%) | 7,776M (80.7%) | 884M (9.2%) | Not Available | 0.0M (0.0%) |
Sample Time | Data Source | |
Analysis Begin Time: | 05-Sep-18 12:00:00 |
DBA_HIST_ACTIVE_SESS_HISTORY in AWR snapshot 4532 |
Analysis End Time: | 05-Sep-18 23:59:59 |
DBA_HIST_ACTIVE_SESS_HISTORY in AWR snapshot 4533 + V$ACTIVE_SESSION_HISTORY |
Elapsed Time: | 720.0 (mins) | |
Sample Count: | 3,307 | |
Average Active Sessions: | 0.77 | |
Avg. Active Session per CPU: | 0.19 | |
Report Target: | None specified |
ASH Report
Top Events
Load Profile
Top SQL
Top PL/SQL
Top Java
Top Call Types
Top Sessions
Top Objects/Files/Latches
Activity Over Time
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Top Events
- Top User Events
- Top Background Events
- Top Event P1/P2/P3 Values
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Top User Events
Event | Event Class | % Event | Avg Active Sessions |
CPU + Wait for CPU | CPU | 80.22 | 0.61 |
db file sequential read | User I/O | 11.1 | 0.08 |
db file parallel read | User I/O | 2.9 | 0.02 |
direct path read temp | User I/O | 1.57 | 0.01 |
这一部分是用户会话的等待事件的信息。列出了采样时段内数据库发生的显著用户等待!
Top Background Events
Event | Event Class | % Activity | Avg Active Sessions |
db file async I/O submit | System I/O | 1.15 | 0.01 |
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Top Event P1/P2/P3 Values
Event | % Event | P1 Value, P2 Value, P3 Value | % Activity | Parameter 1 | Parameter 2 | Parameter 3 |
db file sequential read | 11.19 | 1,"1449","1" | 0.03 | file# | block# | blocks |
db file parallel read | 2.9 | 3,"128","128" | 0.82 | files | blocks | requests |
direct path read temp | 1.57 | 207,"765696","64" | 0.03 | file number | first dba | block cnt |
db file async I/O submit | 1.15 | 2004,"0","0" | 0.06 | requests | interrupt | timeout |
这部分信息显示了在抽样会话活动中占很高百分比的等待事件的参数值它通过总的等待时间(%Event)百分比进行排序后被显示.对于每一个等待事件p1,p2,p3的值与等待事件参数parameter
Load Profile
- Top Service/Module
- Top Client IDs
- Top SQL Command Types
- Top Phases of Execution
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Top Service/Module
Service | Module | % Activity | Action | % Action |
SYS$USERS | UNNAMED | 64.47 | UNNAMED | 64.47 |
edadbt | JDBC Thin Client | 32.3 | UNNAMED | 32.3 |
SYS$BACKGROUND | UNNAMED | 1.94 | UNNAMED | 1.94 |
这部分信息显示了在抽样会话活动中占很高百分比的服务和模块信息
Top Client IDs
No data exists for this section of the report.
这部分信息显示了在抽样会话活动中占很高百分比的客户端的id信息它是数据库会话中应用程序的特定标识符
Top SQL Command Types
'Distinct SQLIDs' is the count of the distinct number of SQLIDs with the given SQL Command Type found over all the ASH samples in the analysis period
SQL Command Type | Distinct SQLIDs | % Activity | Avg Active Sessions |
PL/SQL EXECUTE | 17 | 64.95 | 0.50 |
SELECT | 81 | 17.72 | 0.14 |
INSERT | 74 | 12.97 | 0.10 |
这部分信息显示了在抽样会话活动中占很高百分比的sql命令类型比如select或update
Top Phases of Execution
Phase of Execution | % Activity | Avg Active Sessions |
SQL Execution | 96.10 | 0.74 |
Java Execution | 64.47 | 0.49 |
Back to Load Profile
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Top SQL
- Top SQL with Top Events
- Top SQL with Top Row Sources
- Top SQL using literals
- Top Parsing Module/Action
- Complete List of SQL Text
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Top SQL with Top Events
SQL ID | FullPlanhash | Planhash | Sampled # of Executions | % Activity | Event | % Event | Top Row Source | % RwSrc | SQL Text |
0sbv4vu4qscxu | 1 | 21.08 | CPU + Wait for CPU | 21.08 | ** Row Source Not Available ** | 21.08 | DECLARE job BINARY_INTEGER := ... | ||
3mvuvwgyu1chg | 1 | 21.08 | CPU + Wait for CPU | 21.08 | ** Row Source Not Available ** | 21.08 | DECLARE job BINARY_INTEGER := ... | ||
8kkrj1sdcak68 | 1 | 11.37 | CPU + Wait for CPU | 11.37 | ** Row Source Not Available ** | 11.37 | DECLARE job BINARY_INTEGER := ... | ||
6ykr736rxbadn | 1 | 9.71 | CPU + Wait for CPU | 9.71 | ** Row Source Not Available ** | 9.71 | DECLARE job BINARY_INTEGER := ... | ||
c0z5w1ptawhmw | 1988401559 | 570450625 | 103 | 3.18 | CPU + Wait for CPU | 2.48 | INDEX - RANGE SCAN | 2.48 | SELECT COUNT(*) FROM CF_CHAMBE... |
这部分安装sql的活动频度列出了前6位的sql语句。空值说明没有采样到数据。
Top SQL with Top Row Sources
SQL ID | FullPlanHash | PlanHash | Sampled # of Executions | % Activity | Row Source | % RwSrc | Top Event | % Event | SQL Text |
0sbv4vu4qscxu | 1 | 21.08 | ** Row Source Not Available ** | 21.08 | CPU + Wait for CPU | 21.08 | DECLARE job BINARY_INTEGER := ... | ||
3mvuvwgyu1chg | 1 | 21.08 | ** Row Source Not Available ** | 21.08 | CPU + Wait for CPU | 21.08 | DECLARE job BINARY_INTEGER := ... | ||
8kkrj1sdcak68 | 1 | 11.37 | ** Row Source Not Available ** | 11.37 | CPU + Wait for CPU | 11.37 | DECLARE job BINARY_INTEGER := ... | ||
6ykr736rxbadn | 1 | 9.71 | ** Row Source Not Available ** | 9.71 | CPU + Wait for CPU | 9.71 | DECLARE job BINARY_INTEGER := ... | ||
c0z5w1ptawhmw | 1988401559 | 570450625 | 103 | 3.18 | INDEX - RANGE SCAN | 3.18 | CPU + Wait for CPU | 2.48 | SELECT COUNT(*) FROM CF_CHAMBE... |
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Top SQL using literals
No data exists for this section of the report.
这部分列出了一些未绑定变量的sql。
Top Parsing Module/Action
No data exists for this section of the report.
Back to Top SQL
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Complete List of SQL Text
SQL Id | SQL Text |
0sbv4vu4qscxu | DECLARE job BINARY_INTEGER := :job; next_date DATE := :mydate; broken BOOLEAN := FALSE; BEGIN tyne_job_util.run_job(289); :mydate := next_date; IF broken THEN :b := 1; ELSE :b := 0; END IF; END; |
3mvuvwgyu1chg | DECLARE job BINARY_INTEGER := :job; next_date DATE := :mydate; broken BOOLEAN := FALSE; BEGIN tyne_job_util.run_job(237); :mydate := next_date; IF broken THEN :b := 1; ELSE :b := 0; END IF; END; |
6ykr736rxbadn | DECLARE job BINARY_INTEGER := :job; next_date DATE := :mydate; broken BOOLEAN := FALSE; BEGIN tyne_job_util.run_job(230); :mydate := next_date; IF broken THEN :b := 1; ELSE :b := 0; END IF; END; |
8kkrj1sdcak68 | DECLARE job BINARY_INTEGER := :job; next_date DATE := :mydate; broken BOOLEAN := FALSE; BEGIN tyne_job_util.run_job(236); :mydate := next_date; IF broken THEN :b := 1; ELSE :b := 0; END IF; END; |
c0z5w1ptawhmw | SELECT COUNT(*) FROM CF_CHAMBER_HST_T WHERE STEP_ID = :B6 AND GLASS_ID = :B5 AND EQUIP_ID = :B4 AND SUB_EQUIP_ID = :B3 AND GLASS_START_TIME BETWEEN :B2 AND :B1 |
这部分是列出了所有的sql语句。
Top PL/SQL Procedures
'PL/SQL entry subprogram' represents the application's top-level entry-point(procedure, function, trigger, package initialization or RPC call) into PL/SQL.
'PL/SQL current subprogram' is the pl/sql subprogram being executed at the point of sampling . If the value is 'SQL', it represents the percentage of time spent executing SQL for the particular plsql entry subprogram
PLSQL Entry Subprogram | % Activity | PLSQL Current Subprogram | % Current |
EDAAPP.TYNE_JOB_UTIL.RUN_JOB | 64.47 | SQL | 64.47 |
EDAAPP.DS_CELL_DATA_FETCH_UTIL.FETCH_DATA | 4.05 | SQL | 4.05 |
EDALDR.CF_PDS_LOADER.LOAD_CHAMBER_HST | 3.99 | SQL | 3.99 |
EDALDR.CELL2_FILE_LOADER.LOAD_DATA | 3.3 | SQL | 3.27 |
EDALDR.ARRAY_PDS_LOADER.LOAD_CHAMBER_HST | 3.14 | SQL | 3.14 |
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Top Java Workload
Module | % Module | Entry SQL ID | % Activity |
64.47 | 0sbv4vu4qscxu | 21.08 | |
64.47 | 3mvuvwgyu1chg | 21.08 | |
64.47 | 8kkrj1sdcak68 | 11.37 |
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Top Call Types
Call Type | Count | % Activity | Avg Active Sessions |
V8 Bundled Exec | 1,025 | 30.99 | 0.24 |
LOGOFF | 384 | 11.61 | 0.09 |
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Top Sessions
- Top Sessions
- Top Blocking Sessions
- Top Sessions running PQs
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Top Sessions
'# Samples Active' shows the number of ASH samples in which the session was found waiting for that particular event. The percentage shown in this column is calculated with respect to wall clock time and not total database activity.
'XIDs' shows the number of distinct transaction IDs sampled in ASH when the session was waiting for that particular event
For sessions running Parallel Queries, this section will NOT aggregate the PQ slave activity into the session issuing the PQ. Refer to the 'Top Sessions running PQs' section for such statistics.
Sid, Serial# | % Activity | Event | % Event | User | Program | # Samples Active | XIDs |
1,833,983 | 21.08 | CPU + Wait for CPU | 21.08 | EDAAPP | oracle@p1edadb01t (J001) | 697/4,320 [ 16%] | 0 |
40,740,014 | 21.08 | CPU + Wait for CPU | 21.08 | EDAAPP | oracle@p1edadb01t (J000) | 697/4,320 [ 16%] | 0 |
220, 8484 | 11.37 | CPU + Wait for CPU | 11.37 | EDAAPP | oracle@p1edadb01t (J002) | 376/4,320 [ 9%] | 0 |
601, 9692 | 9.71 | CPU + Wait for CPU | 9.71 | EDAAPP | oracle@p1edadb01t (J003) | 321/4,320 [ 7%] | 0 |
405, 8989 | 3.21 | CPU + Wait for CPU | 2.6 | EDALDR | JDBC Thin Client | 86/4,320 [ 2%] | 84 |
这部分列出了活动最频繁的会话信息。这一部分为我们提供了非常有用的信息,那就是哪些进程活动频繁。我们通过这一部分获取到某个活动频繁的会话信息,可以通过使用ashrpti.sql来生成针对这个会话的ASH性能报告,或者可以使用sql_trace对这个会话进程跟踪。这样我们就能了解到当前这个会话正在做什么。
Top Blocking Sessions
No data exists for this section of the report.
这一部分列举了被阻塞的会话信息。
Top Sessions running PQs
No data exists for this section of the report.
这部分信息显示了哪些在抽样会话活动中占很高百分比的正处于等待的并行查询
Top Objects/Files/Latches
- Top DB Objects
- Top DB Files
- Top Latches
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Top DB Objects
With respect to Application, Cluster, User I/O, buffer busy waits and In-Memory DB events only.
Tablespace name is not available for reports generated from the root PDB of a consolidated database.
Object ID | % Activity | Event | % Event | Object Name (Type) | Tablespace |
86272 | 2.15 | db file sequential read | 2.15 | EDASYS.CELL_DEFECT_T_PK.P_180801 (INDEX PARTITION) | EDASYS_DATA_L |
112261 | 1.66 | direct path read temp | 1.57 | EDAAPP.EDATOOL_DATA06_S (TABLE) | SYSTEM |
86275 | 1.54 | db file sequential read | 1.54 | EDASYS.CELL_DEFECT_T_PK.P_180901 (INDEX PARTITION) | EDASYS_DATA_L |
82334 | 1.33 | db file sequential read | 1.06 | EDASYS.ARRAY_GLASS_HST_T.P_180801 (TABLE PARTITION) | EDASYS_DATA_M |
82028 | 1.03 | db file parallel read | 1.03 | EDASYS.ARRAY_CHAMBER_HST_T_PK.P_180801 (INDEX PARTITION) | EDASYS_INDEX_M |
Back to Top Objects/Files/Latches
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Top DB Files
No data exists for this section of the report.
这部分信息显示了在抽样会话活动中占访问量很高百分比的数据库文件
Top Latches
这部分信息显示了在抽样会话活动中占很高百分比的闩锁信息
闩锁是一种简单低级别串行化机制用来保护sga中的共享数据结构.比如闩锁保护当前访问数据库和缓冲区缓存中数据块结构的用户列表.当维护或查找这些结构时服务器或后台进程请求持有闩锁的时间是非常短暂的.闩锁的实现依赖于操作系统特别是一个进程等待获取一个闩锁多长时间.
Activity Over Time
- Analysis period is divided into smaller time slots
- Top 3 events are reported in each of those slots
- 'Slot Count' shows the number of ASH samples in that slot
- 'Event Count' shows the number of ASH samples waiting for that event in that slot
- '% Event' is 'Event Count' over all ASH samples in the analysis period
Slot Time (Duration) | Slot Count | Event | Event Count | % Event |
12:00:00 (20.0 min) | 452 | CPU + Wait for CPU | 399 | 12.07 |
12:00:00 (20.0 min) | 452 | db file sequential read | 20 | 0.6 |
12:00:00 (20.0 min) | 452 | direct path read temp | 12 | 0.64 |
12:20:00 (70.0 min) | 2114 | CPU + Wait for CPU | 1774 | 53.64 |
12:20:00 (70.0 min) | 2114 | db file sequential read | 182 | 5.5 |
12:20:00 (70.0 min) | 2114 | db file parallel read | 59 | 1.78 |
13:30:00 (70.0 min) | 741 | CPU + Wait for CPU | 509 | 15.39 |
13:30:00 (70.0 min) | 741 | db file sequential read | 168 | 5.08 |
13:30:00 (70.0 min) | 741 | db file parallel read | 35 | 1.06 |
这部分列举了各种等待的细粒度显示。
这一部分是ash报告信息最丰富的一部分.这部分信息对于长时间周期的ash报告来说因为在分析期间它提供了关于活动和工作负载概要深层次的详细信息.activity over time会被分成10个时段.每个时段的大小基于分析所持续的时间.第一个和最后一个时段是奇怪.所有内部时段是相等的大小它们可以相互比较.例如,如果分析时间持续10分钟那么所有的时段将会是每个一分钟.然后如果分析时间持续9分30秒,那么外部的时段可能是每个15秒内部的时段可能每个1分钟
特定时段中每个时段包含的信息如下:
列 描述
slot time(持续时间) 时段的持续时间
solt count 在时段中抽样会话的数量
event 在时段中顶级的三个等待事件
event count ash抽样等待的等待事件的数量
%event ash抽样等待的等待事件在整个分析期间所占的百分比
当比较内部时段时,通过识别异常的event count和slot count列执行一个倾斜分析.event count列的异常指示了在抽样会话中等待的等待事件数量增加了.slot count列的异常指示活动的会自豪感增加了,因为ash数据只从活动会话中进持抽样说明数据库的