Everything you need to know about Read Uncommitted Isolation Level

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In this video, I delved into the read uncommitted isolation level, explaining its significance and potential drawbacks. This isolation level allows transactions to read uncommitted changes, leading to issues like dirty reads, phantom reads, and non-repeatable reads. While it can offer higher throughput due to non-locking behavior, the risks of data corruption outweigh the benefits. Use read uncommitted only for scenarios where immediate consistency is not crucial. Understanding database isolation levels is vital for making informed decisions on data integrity.

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[abhilashbandi]

Awesome. Maybe cover all isolation levels ?? Would be fantastic.

[wol]

I like how you build concepts from their foundations.

I always end up learning something from watching your videos.

[ckshenoy]

So basically
Read Uncommitted - High Availability and Low Consistency
Read Committed- Low Availability and High Consistency

[Sanjay-pusp]

Very good explanation mate, thank you!

[parmarkamlesh]

Superb! Thank you for uploading this Core learning.!!!
#Don't lose your focus from core. :)

[bishwajitbhattacharjee]

The slides look amazing. May I know which tool did you use to make it?

[rahulbhatia]

There's another problem called as lost updates too, which occurs as another problem lets, start TX1 updates a column +10 meanwhile TX2 has already commented and updated the column +5 then the txt1 will only display the results of column of TX2 transaction.

[CHINMAYPAWAR-zp]

Instead of explaining with hand gestures it would have been great if you would have drawn the same transactions on iPad and explained

[sayandeepghosh]

What is the default isolation level that most databases use??