सर आपका समझाने का तरीक़ा लाजवाब है। आज os का पेपर था सर जान बचा ली अापने You are a great person sir♥️♥️♥️♥️♥️♥️♥️♥️♥️♥️♥️♥️♥️♥️♥️ dosto ko recommend kra channel aapka , sbko psnd aaya sr♥️♥️♥️♥️♥️
9:57 cascadeless scheduling k lye hum isolation level 'read committed' set kr ty hain. And t1 and t2 both alag alag transactions hain. So dono mai A ki value alag alag hogi.. If t1 fails, us ka t2 pr koi affect nhi paray ga.
I think in this case 11:00 of write write problem will not occur. It will cause problem if both transactions are committed, then it will lead to lost update problem.
6:30 bina commit kiye kaise database mai change ho raha hai kyuki aapne hi bola tha bina commit likhe database mai change nahi hoga to agar database mai change nahi ho raha to T2, and T3 ko to wahi real wala value read karna chahiye na jo database mai and suppose agar commit likh ke database mai change kar bhi diya ho then uske baad T2 operate kar raha hai then T1 ke fail hone ka to chance hi nahi hai according to aapke purane lecture thoda confusion ho raha hai
Amazing explanaition!!. Stupid BITS faculties made a heck to explain these. Here its completely simplified. Prof UMA Maheshwari please learn something from here.
Cascadeless mein jo write write problem discuss hua hai.. us mein pehle commit karne se irrecoverable schedule ho jaana chahiye na? Sir ne toh bola ki problem kuch nhi hoga.. but irrecoverable schedule mein aisa hi example diye the sir.. commit ho rha tha failure ke pehle
bhaiya, aapne pichle video me recoverable schedule toh samjhaya hi nhi, irrecoverable samjhaya bs, isiliye kahi aur jaana pada mujhe. anyways.. thanks for the awesome videos
I don't get it at 2:00 you said t2 can read the changed made by t1 but , t1 has not committed in the global memory, all changes are made in its local/private space the how come t2 can read from t1?
changes before commit are stored are in buffer memory ,as both transactions are on same account they have same buffer memory so all can access same data
How comes databse is getting updated without commit and other transaction is getting that updated value fo transction 1 if transaction 1 is not commit!! Awaitng for your revert!
Sir cascading schedule mai ye sabhi transactions ek system mai ho rhe h ya alag alag system around the world ki baat kar rhe h kyuki alag alag ke liye read karna toh possible nhi hoga na
Sir just now in last videos you said that the operations wont be performed on the data in database in hardisk until the commit is used, and all operation will be performed on the data that is load on RAM (main memory) then how you can say that after fail of T1 and commit operation of T2 the value of A which is in database will get restored 😕 the data in RAM can get restored but data in database cannot get restored becoz as u said the CPU cannot perform on hardisk.
I turned the subtitles on but it just doesn't make sense to me eventho many say it's a great video. I feel like it's great too but too bad I just don't understand.
So we tried to make serial schedule as parallel as possible, but we end up committing the schedule and then start another.. that means we didn't achieve anything parallel? Please sir answer this
One Doubt : In the second table he told that cascadless the other transaction cannot read same value till first one is executed means problem sorted but later he said that in write write i.e table 3 it will cause problem .. but my doubt is how will it write(A) without REading A .. and If he is reading A how can we say it is cascedless
sir if t1 reads, and then t2 reads writes and gets committed. Now when we resume and write in t1, then wouldn't it work on the original value that t1 had read before t2 occurred?
nice Example (student Example of cascading schedule)
Real life example 😂😂😂
😂😂
😂😂😂
5:00 Best Example ever! Great Explanation sir!
Instagram wala trend sir hi laye Hain 😂😂
Hmm 😄
😅
relatable
"Koi panga ni hai". Best teacher ever!
💯😌
@@chetana3437 placement ho gyi tum dono ki
i am sitting like baby who is watching fairy tales and laughing as if i am watching some comedy track ,and i enjoying the lesson
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So guys don't copy in exam otherwise u also get rollback😄
Other teachers :- "Cheating kyo kri tum longo ne"
Varun Sir :- "teeno ne kaafi mehnat ki he copy krne he"😂😂😂
सर आपका समझाने का तरीक़ा लाजवाब है।
आज os का पेपर था सर जान बचा ली अापने
You are a great person sir♥️♥️♥️♥️♥️♥️♥️♥️♥️♥️♥️♥️♥️♥️♥️ dosto ko recommend kra channel aapka , sbko psnd aaya sr♥️♥️♥️♥️♥️
Thank you so much for your love and support.. Have a bright future ahead.. Bless you
@@GateSmashers thanks alot sir♥️♥️♥️♥️♥️
Your videos more help into the final exam🥰
matlab aisi example do ke bacha exam hall main bhoole hi na, kyoonke cascading ki example aankhon ke saamne chal rahi hai...hats off sir
Amazing explanation! was struggling with the difference between cascadeless and strict schedules! finally it got resolved! Thanks a lot sir!
Now, I understand how Tatkal online tickets will not get transact 😂😂😂😂
9:57 cascadeless scheduling k lye hum isolation level 'read committed' set kr ty hain. And t1 and t2 both alag alag transactions hain. So dono mai A ki value alag alag hogi.. If t1 fails, us ka t2 pr koi affect nhi paray ga.
Student example of cascading is interesting and funny. 😁😁😁
LEC - 81, Done ✅ THANK YOU SIR ❤
2x gang mark there attendence 😁
2x bhi slow lag raha hai ..
Lecture successfully completed on 17/11/2024 🔥🔥
I understood everything because of you ☺️♥️
Seriously hats off ".. well explained.
thank you sir... right video in right moment...
Thnkk u so much sir ....vry great explanation..Stay blessed..🙏🙏....⭐⭐⭐⭐⭐
Example is really understandable
I think in this case 11:00 of write write problem will not occur. It will cause problem if both transactions are committed, then it will lead to lost update problem.
Yup. Exactly because isolation level 'read committed' hy
Your teaching style is just awesome!
5:39 BEST EXAMPLE , If Intelligent Boy Cross answer then other will also do.
Very informative video sir nicee
Nice explanation guruji
You have not added the video for strict recoverability that you have mentioned for Write write problem
6:30 bina commit kiye kaise database mai change ho raha hai kyuki aapne hi bola tha bina commit likhe database mai change nahi hoga to agar database mai change nahi ho raha to T2, and T3 ko to wahi real wala value read karna chahiye na jo database mai and suppose agar commit likh ke database mai change kar bhi diya ho then uske baad T2 operate kar raha hai then T1 ke fail hone ka to chance hi nahi hai according to aapke purane lecture thoda confusion ho raha hai
Super example for cascading schedule 👌
One word for your videos Fabulous 👍🏻👍🏻
Amazing explanaition!!. Stupid BITS faculties made a heck to explain these. Here its completely simplified. Prof UMA Maheshwari please learn something from here.
great example sir for cascading schedule
Nice example sir ji..thanku sir....
best teaching method!!!
Your examples are awesome 😂😂
Thank you....😊easy to understand.....👍👍
9:31 iske uper koich nhi bola isne !! haha .. Sir jaisa koi hardich nhi h !!
Very energetic lecture 😊😊
10:55 why 80 is not reflected in database..after commit also
your examples are always ooppppp 🔥🔥🔥🔥🔥🔥🔥🔥🔥🔥🔥😂😂😂😂
BEST BEST BEST
THANKU SO MUCH FOR THIS COURSE SIR❤
welcome
Gurujee shandar jabardast zindabad
Cascadeless mein jo write write problem discuss hua hai.. us mein pehle commit karne se irrecoverable schedule ho jaana chahiye na? Sir ne toh bola ki problem kuch nhi hoga.. but irrecoverable schedule mein aisa hi example diye the sir.. commit ho rha tha failure ke pehle
bhaiya, aapne pichle video me recoverable schedule toh samjhaya hi nhi, irrecoverable samjhaya bs, isiliye kahi aur jaana pada mujhe. anyways.. thanks for the awesome videos
He is the best 😊 koi panga nhi hain
4.50 @Ashish Chanchlani 😎🙌
Hey,
Can you please make the videos on triggers in sql
Explanation 🤩 👌👌
thank you sir very much!!!!!!!!!
Great Explanation Sir ! Thank you!!
after committe ,how it is possible to rollback , don't it lead for lost of durability property
Example was excellent 👌😂😂😂
Thank you sir.
Sir if t2 fails and t1 is still operating then what will happen to t1 is will also roll back or it will continue to operate?
Best teacher ❤️❤️
Sir at 10:53 you said that write-write conflict is happened but I am not getting why T2 cannot commit. Can you explain it?
example tagda dia h aapne sirr XD
Sir placement point of view se to transaction wala portion imp nhi h na ?
TH-cam please 3×
Me watching who in 3.5x 😂😂
the same example pupped in my mind just before sir gave that same example🙄
I don't get it at 2:00 you said t2 can read the changed made by t1 but , t1 has not committed in the global memory, all changes are made in its local/private space the how come t2 can read from t1?
changes before commit are stored are in buffer memory ,as both transactions are on same account they have same buffer memory so all can access same data
5:00 best !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
11:00 Why if T2 commit done 80 will not reflect in DB.
Can anyone clear my doubt
How comes databse is getting updated without commit and other transaction is getting that updated value fo transction 1 if transaction 1 is not commit!!
Awaitng for your revert!
11:04 T2 commit k baad 100 q ho gi 80 q ni ho gi?
You are amazing ❤️
Data Mining pay bhi lectures banaye
😁 thankyou sir (students example)
Very good😊
Iss example kai baad ab yeh kabhi nhi bhulega 😂😂😂
Shedule
Have
Serial and parallel shedule
Recoverable data, irrecoverable data
Cascading , cascadeless
Thank You Sir....
Best example of the decade 😂😂💀
Sir cascading schedule mai ye sabhi transactions ek system mai ho rhe h ya alag alag system around the world ki baat kar rhe h kyuki alag alag ke liye read karna toh possible nhi hoga na
Thanks sir ..
Sir please give me video strict shadule🙏
haha great example of cascading schedule
Sir i have a question plz sir ans ...
Diff betn cascadeless schedule and serial schedule
Sir just now in last videos you said that the operations wont be performed on the data in database in hardisk until the commit is used, and all operation will be performed on the data that is load on RAM (main memory) then how you can say that after fail of T1 and commit operation of T2 the value of A which is in database will get restored 😕 the data in RAM can get restored but data in database cannot get restored becoz as u said the CPU cannot perform on hardisk.
thank you
Will the cascadeless schedule is under series scheduling???
Query: write karne ke baad database me change hota hai ki Buffer me.??
Buffer
t4 t2 t3 directe database se read ku nhi krti jb t1 commite hogi to automatic unke pass update ho jaye gi fail hogi to a=100 hi rhega
tino ne kafi mahenat ki hai copy karne mai LOL!! bohot mahenat
create lectures on Data Mining
no video on recoverable schedule?
I turned the subtitles on but it just doesn't make sense to me eventho many say it's a great video. I feel like it's great too but too bad I just don't understand.
cute storyteller
Ty
thanks sir g
t2,t3,t4 be like: mehnat barbaad ......, great example sir
So we tried to make serial schedule as parallel as possible, but we end up committing the schedule and then start another.. that means we didn't achieve anything parallel? Please sir answer this
One Doubt : In the second table he told that cascadless the other transaction cannot read same value till first one is executed means problem sorted but later he said that in write write i.e table 3 it will cause problem .. but my doubt is how will it write(A) without REading A .. and If he is reading A how can we say it is cascedless
ha wo galat hai sir ka
gate smashers se padh k jao exam mein fir "koi panga nahi hai'' 100% guarantee!!
sir if t1 reads, and then t2 reads writes and gets committed. Now when we resume and write in t1, then wouldn't it work on the original value that t1 had read before t2 occurred?
This video has rollback problem. doesn't resume, starts again over and over.
But in cascading t1 fail hone se pehle t2 commit karle to rollback kaise hoga?
3:12 T1 fail to Ram main hoi h, to hard main 100 update qn kry gi after rollback? update to sirf commit hony pr hona chahya?
sir you have not explained strict recoverable .
Watching at 2:13 at night 😴