I think the above isolation levels are so alike. Could someone please describe with some nice examples what the main difference is ?
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sql
sql-server
isolation-level
I think this picture can also be useful, it helps me as a reference when I want to quickly remember the differences between isolation levels (thanks to kudvenkat on youtube)
Old question which has an accepted answer already, but I like to think of these two isolation levels in terms of how they change the locking behavior in SQL Server. This might be helpful for those who are debugging deadlocks like I was.
READ COMMITTED (default)
Shared locks are taken in the SELECT and then released when the SELECT statement completes. This is how the system can guarantee that there are no dirty reads of uncommitted data. Other transactions can still change the underlying rows after your SELECT completes and before your transaction completes.
REPEATABLE READ
Shared locks are taken in the SELECT and then released only after the transaction completes. This is how the system can guarantee that the values you read will not change during the transaction (because they remain locked until the transaction finishes).
The state of the database is maintained from the start of the transaction. If you retrieve a value in session1, then update that value in session2, retrieving it again in session1 will return the same results. Reads are repeatable.
session1> BEGIN;
session1> SELECT firstname FROM names WHERE id = 7;
Aaron
session2> BEGIN;
session2> SELECT firstname FROM names WHERE id = 7;
Aaron
session2> UPDATE names SET firstname = 'Bob' WHERE id = 7;
session2> SELECT firstname FROM names WHERE id = 7;
Bob
session2> COMMIT;
session1> SELECT firstname FROM names WHERE id = 7;
Aaron
Within the context of a transaction, you will always retrieve the most recently committed value. If you retrieve a value in session1, update it in session2, then retrieve it in session1again, you will get the value as modified in session2. It reads the last committed row.
session1> BEGIN;
session1> SELECT firstname FROM names WHERE id = 7;
Aaron
session2> BEGIN;
session2> SELECT firstname FROM names WHERE id = 7;
Aaron
session2> UPDATE names SET firstname = 'Bob' WHERE id = 7;
session2> SELECT firstname FROM names WHERE id = 7;
Bob
session2> COMMIT;
session1> SELECT firstname FROM names WHERE id = 7;
Bob
Makes sense?
Please note that, the repeatable in repeatable read regards to a tuple, but not to the entire table. In ANSC isolation levels, phantom read anomaly can occur, which means read a table with the same where clause twice may return different return different result sets. Literally, it's not repeatable.
Simply the answer according to my reading and understanding to this thread and @remus-rusanu answer is based on this simple scenario:
There are two transactions A and B. Transaction B is reading Table X Transaction A is writing in table X Transaction B is reading again in Table X.
My observation on initial accepted solution.
Under RR (default mysql) - If a tx is open and a SELECT has been fired, another tx can NOT delete any row belonging to previous READ result set until previous tx is committed (in fact delete statement in the new tx will just hang), however the next tx can delete all rows from the table without any trouble. Btw, a next READ in previous tx will still see the old data until it is committed.
Trying to explain this doubt with simple diagrams.
Read Committed: Here in this isolation level, Transaction T1 will be reading the updated value of the X committed by Transaction T2.
Repeatable Read: In this isolation level, Transaction T1 will not consider the changes committed by the Transaction T2.
Source: Stackoverflow.com