Now updating left 4 dead 2 please wait quick response in fashion supply chains with dual information updating

The sequel is set in the Southern United States and centers around a new team of four Survivors - Coach, Nick, Ellis and Rochelle - who are forced to work together to fight through the hordes of Infected and reach safe haven.While still retaining the same focus on four-player co-op as in the original game, Left 4 Dead 2 uses an updated version of the "A. Director" to procedurally alter gameplay to an even greater degree, customizing the dynamic difficulty of each scenario based on players' performance.The game starts with you along with 4 survivors when are trapped in the infected zone trying to escape to the safe zones.Infected people act like zombies and are hostile towards the non-infected.The game features a checkpoint based system and once you reach a checkpoint you will start the game from there if you die.Your final goal is to escape from the zombie land by getting to the rescue vehicle that awaits you. Everyone and their mother, their cousin, that three-legged dog your uncle Pablo gave you and even his no-tailed kids are all huddled around the PC at the moment trying to flood the Steam store to grab the latest deals and newest freebies. Literally, it's like the complete opposite thing that companies like Electronic Arts, Ubisoft and Microsoft do.

Lead writer Chet Faliszek confirmed in an interview that the Left 4 Dead series had sold over 11 million units in total as of August 2011.

Basically, it appears as if not only did everyone log-in to get the free game but they also decided to load up their shopping carts with tons of games as well (sort of what I was about to do).

Sadly, for those of us who planned on getting specific games at the moment, we'll just have to wait until the sales-surge dies down a bit.

There are one column in each table, call id, to link them. --For incremental/New data----- insert into A select * from B where column_name NOT IN (select column_name from B); --For Edited Data------- cursore C_AB select * from B minus select * from A For R in C_AB loop Update A set....where ... this shows how I would approach getting the first two columns -- just add the other 2 and use merge to keep filling temp -- and then update the join: [email protected] -1 5 group by urefitem ) b 6 on (temp.urefitem = b.urefitem) 7 when matched then update set amount = b.sum_total 8 when not matched then insert (urefitem,amount) values ( b.urefitem, b.sum_total) 9 / 398 rows merged. using a cursor means you are back to "slow=very_true" you already WERE updating on a bulk basis??? But when I run the following query, it takes up 50% of CPU. tab A has these columns: id, cycle, pop tab B has these columns: id, cycle, site_id,rel_cd,groupid update tab A a set pop= (select count(*) from tab B b where b.id=and a.cycle = b.cycle and b.site_id=44 and b.rel_cd in('code1','code2','code3') and b.groupid='123') where pop is null and id in(select id from tab B); call count cpu elapsed disk query current rows ------- ------ -------- ---------- ---------- ---------- ---------- ---------- Parse 1 0.00 0.00 0 0 0 0 Execute 2 496.35 499.54 7530955 9902630 76532 11444 Fetch 0 0.00 0.00 0 0 0 0 ------- ------ -------- ---------- ---------- ---------- ---------- ---------- total 3 496.35 499.54 7530955 9902630 76532 11444 Misses in library cache during parse: 0 Optimizer goal: CHOOSE Parsing user id: 305 Rows Row Source Operation ------- --------------------------------------------------- 1 UPDATE tab A 11445 MERGE JOIN 5942 VIEW VW_NSO_1 5942 SORT UNIQUE 31227 TABLE ACCESS FULL tab B 17385 SORT JOIN 12601 TABLE ACCESS FULL tab A Now my questions are: 1. We have several such updates that creates the same problems on the server from time to time and I would appreciate some guidance to resolve this.

Using cursor is ok, but it brings with a un-toleratable speed when operating on a large table. end loop End; It's working but taking a huge time/sometimes hang the computer. [email protected] update ( select upd.purchase_no u_pno, upd.amount u_a, 2 temp.purchase_no t_pno, temp.amount t_a 3 from upd, temp 4 where upd.urefitem = temp.urefitem ) 5 set u_pno = t_pno, u_a = t_a 6 / 635 rows updated. Is this time, 10 minutes for 12000 rows tables an acceptable (expected) time? Thanks Anandhi = b.cycle and b.site_id=44 and b.rel_cd in('code1','code2','code3') and b.groupid='123' 12,000 times?

This may seem like a simple question: Update Column a1 in Table A with all data in Column b1 in Table B. I have a table named A containing say 100000 records. HSCODELIST 5 WHERE not exists 6 (SELECT NULL FROM VIStemp. Brao what I suggest then is not to do it in a single sql statement -- just proving that "there are exceptions to every rule". Type ----------------------------------------- -------- ---------------------------- BIN VARCHAR2(10) ACT_SL VARCHAR2(3) ACT_CODE VARCHAR2(11) ACT_VAL NUMBER(14,2) ENTRY_DATE DATE SQL DESC VIS. Type ----------------------------------------- -------- ---------------------------- BIN VARCHAR2(10) ACT_SL VARCHAR2(3) ACT_CODE VARCHAR2(11) ACT_VAL NUMBER(14,2) ENTRY_DATE DATE SQL UPDATE (SELECT DBHSCODELIST. the database needs to know that each row in dbhscodelist will map to AT MOST one row in hscodelist - this mandates a primary or unqiue key constraint on the join columns this is discussed in the original answer above.

But I am trapped by the method that without using cursor to achieve it. I have another table B containg 10,000 records of incremented and edited records of A table. I am using the following codes to append data from B to A. Normally, I would try to use a single sql statment -- here, due to the "data being spread all over the place", and being distributed and all. We have a 2 CPU machine where at normal times, the topmost entry in top command shows only .2 or .3 percentage of CPU use. This is on a test database where nothing else is going on concurrently.

Left 4 Dead 2 is a first-person shooter developed and published by Valve for PC and Xbox 360 on November 17, 2009.

Like its 2008 predecessor, the game is set during the aftermath of a global pandemic that rapidly transforms its victims into mindless, highly aggressive zombie-like creatures known simply as "the Infected".

At the most basic level, Left 4 Dead 2 is a first-person shooter with a heavy emphasis on four-player cooperative gameplay, though it can also be played in a single-player mode with three AI bots instead of human teammates.

Before a game begins, players choose from one of four human "Survivors" of the epidemic as their playable character, who are all identical in terms of ability.

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