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PostgreSQLquery~10 mins

Transaction isolation levels in PostgreSQL - Step-by-Step Execution

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Concept Flow - Transaction isolation levels
Start Transaction
Set Isolation Level
Execute Queries
Check for Conflicts
Read Uncommitted
Serializable
Commit or Rollback
This flow shows starting a transaction, setting its isolation level, executing queries, checking for conflicts based on the isolation level, and then committing or rolling back.
Execution Sample
PostgreSQL
BEGIN;
SET TRANSACTION ISOLATION LEVEL REPEATABLE READ;
SELECT * FROM accounts WHERE id = 1;
UPDATE accounts SET balance = balance - 100 WHERE id = 1;
COMMIT;
A transaction starts, sets isolation to REPEATABLE READ, reads data, updates it, then commits.
Execution Table
StepActionIsolation LevelData ReadData UpdatedConflict CheckResult
1BEGIN transactionREPEATABLE READN/AN/AN/ATransaction started
2Set isolation levelREPEATABLE READN/AN/AN/AIsolation level set
3SELECT accounts WHERE id=1REPEATABLE READBalance=500N/AN/AData read consistent snapshot
4UPDATE accounts balance -100REPEATABLE READBalance=500Balance=400Check for write conflictsNo conflict, update allowed
5COMMIT transactionREPEATABLE READN/ABalance=400N/ATransaction committed
6Transaction endsN/AN/AN/AN/AEnd of transaction
💡 Transaction ends after commit; data changes are saved with REPEATABLE READ isolation ensuring consistent reads during transaction.
Variable Tracker
VariableStartAfter Step 3After Step 4Final
Transaction StateNot startedActiveActiveCommitted
Isolation LevelDefaultREPEATABLE READREPEATABLE READN/A
Account Balance500500400400
Key Moments - 3 Insights
Why does the SELECT at step 3 always see balance=500 even if another transaction changes it?
Because REPEATABLE READ isolation takes a snapshot at transaction start, so all reads see the same data version during the transaction (see execution_table step 3).
What happens if another transaction tries to update the same account before commit?
The conflict check at step 4 prevents simultaneous conflicting writes; one transaction waits or fails to keep data consistent.
Why must we COMMIT to save changes?
Until COMMIT (step 5), changes are not visible to others; COMMIT finalizes and makes updates permanent.
Visual Quiz - 3 Questions
Test your understanding
Look at the execution_table, what is the account balance after step 4?
A400
B500
C600
D100
💡 Hint
Check the 'Data Updated' column at step 4 in the execution_table.
At which step does the transaction isolation level get set?
AStep 1
BStep 3
CStep 2
DStep 5
💡 Hint
Look at the 'Action' and 'Isolation Level' columns in the execution_table.
If the isolation level was READ COMMITTED instead of REPEATABLE READ, what would change at step 3?
AData read would be locked and never change
BData read might reflect committed changes from other transactions
CTransaction would fail immediately
DNo changes; same snapshot as REPEATABLE READ
💡 Hint
Consider how READ COMMITTED allows seeing committed changes during the transaction.
Concept Snapshot
Transaction Isolation Levels in PostgreSQL:
- Control visibility of data changes during transactions
- Levels: READ UNCOMMITTED, READ COMMITTED (default), REPEATABLE READ, SERIALIZABLE
- Higher levels prevent more concurrency issues but may reduce performance
- Use SET TRANSACTION ISOLATION LEVEL before queries
- COMMIT finalizes changes, ROLLBACK cancels
- REPEATABLE READ ensures consistent snapshot during transaction
Full Transcript
This visual execution shows how a PostgreSQL transaction runs with the REPEATABLE READ isolation level. The transaction begins, sets the isolation level, reads data, updates it, and commits. The key point is that the SELECT reads a consistent snapshot of data at transaction start, so even if other transactions change data, this transaction sees the original values. Updates check for conflicts to avoid data corruption. Committing saves changes permanently. The execution table tracks each step, showing actions, data read and updated, and conflict checks. Variable tracking shows transaction state, isolation level, and account balance changes. Key moments clarify why snapshots matter, how conflicts are handled, and why commit is needed. The quiz tests understanding of these steps and isolation effects. This helps beginners see how isolation levels control data visibility and consistency in real transactions.