,
<强> AWS监测也可以看出Cpu来长期使用率100%
SYS@xxxxxx> SELECT b.sid oracleID,
,,,,,,b.username,
,,,,,,b.serial #,
,,,,,,spid,
,,,,,,paddr,
,,,,,,b.machine,
,,,,,c.sql_text
得到v $ process ,, v $ session b、v $ sqlarea c
WHERE a.addr =, b.paddr 以及b.sql_hash_value =, c.hash_value;
,
ORACLEID 才能;USERNAME ,,,,序列号,SPID ,,,,, PADDR ,,,,,,的机器
- - - - - - - - - - -,- - - - - - - - - - - - - - - - - - - - - - - - - - - - - -,- - - - - - - - - - -,- - - - - - - - - - - - - - - - - - - - - - - -,- - - - - - - - - - - - - - - - -,- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
SQL_TEXT
--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
,,,,,,410,PRERNAP2 371年,16743,,,,,,00000002 dec84e60 Prernap2-mbr
with cte (select distinct weekdate,, week_month,, week_year,, SHIPTO,, BUYERPARTNUMBER,, dense_rank(),在(partition by week_year SHIPTO, BUYERPARTNUMBER,, week_month order by weekdate), as rank_week
(Select weekdate, to_char (weekdate, & # 39; mm # 39;), as week_month,,, to_char (weekdate, & # 39; yyyy # 39;), as week_year,, SHIPTO,, BUYERPARTNUMBER 得到AUTO.ford_forecast_details ,), order by weekdate),,, cte1 as (Select foreca
stdate、forecast_month, forecast_year, shipto, buyerpartnumber 得到(select to_date (forecastdate, & # 39;名称# 39;),as forecastdate,, TO_CHAR (to_date (forecastdate, & # 39;名称# 39;),,& # 39;mm # 39;,), as forecast_month,,, TO_C
哈尔(to_date (forecastdate, & # 39;名称# 39;),,& # 39;yyyy # 39;,), as forecast_year, SHIPTO,, BUYERPARTNUMBER 得到AUTO.ford_forecast_details ,), order by forecastdate ),,, cte2 as (select cte.shipto, cte.buyerpartnumber, ct
e.week_month, cte.week_year,马克斯(rank_week), as max_week ,得到cte group by cte.shipto,, cte.buyerpartnumber, cte.week_month,, cte.week_year),,, cte4 as (select cte2。*, cte1.forecast_month,, cte1.forecast_y
,,,,,,408,PRERNAP21163 15129,,,,,, 00000002 dec916a0 Prernap2-mbr
with cte (select distinct weekdate,, week_month,, week_year,, SHIPTO,, BUYERPARTNUMBER,, dense_rank(),在(partition by week_year SHIPTO, BUYERPARTNUMBER,, week_month order by weekdate), as rank_week
(Select weekdate, to_char (weekdate, & # 39; mm # 39;), as week_month,,, to_char (weekdate, & # 39; yyyy # 39;), as week_year,, SHIPTO,, BUYERPARTNUMBER 得到AUTO.ford_forecast_details ,), order by weekdate),,, cte1 as (Select foreca
stdate、forecast_month, forecast_year, shipto, buyerpartnumber 得到(select to_date (forecastdate, & # 39;名称# 39;),as forecastdate,, TO_CHAR (to_date (forecastdate, & # 39;名称# 39;),,& # 39;mm # 39;,), as forecast_month,,, TO_C
哈尔(to_date (forecastdate, & # 39;名称# 39;),,& # 39;yyyy # 39;,), as forecast_year, SHIPTO,, BUYERPARTNUMBER 得到AUTO.ford_forecast_details ,), order by forecastdate ),,, cte2 as (select cte.shipto, cte.buyerpartnumber, ct
e.week_month, cte.week_year,马克斯(rank_week), as max_week ,得到cte group by cte.shipto,, cte.buyerpartnumber, cte.week_month,, cte.week_year),,, cte4 as (select cte2。*, cte1.forecast_month,, cte1.forecast_y
18,PRERNAP2 , 311, 19710,,,,,, 00000002 dec948b0 Prernap2-mbr
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
