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Understanding Isolation Levels
By Hieu Nguyen
Which isolation
level our database
currently is?
ACID
Vestibulum congue
ACID
Durable
Isolated
Consistent
Atomic
Vestibulum congue
ACID
Durable
Isolated
Consistent
Atomic
Isolation ● A transaction is invisible to other
transactions before it is
completed
Isolation
● A transaction is invisible to other
transactions before it is
completed
● The statement above is usually
true
Isolation Levels
Serializable
04
Repeatable Read
(Snapshot Isolation)03
Read committed
02
Read uncommitted
(Dirty Read)01
Query 1
BEGIN TRANSACTION
SET balance = balance - 100 FROM users WHERE users.name = 'A';
SET balance = balance + 100 FROM users WHERE users.name = 'B';
END
Query 2
BEGIN TRANSACTION
SELECT name, balance FROM users WHERE users.name IN ('A', 'B');
END
Serializable
04
Repeatable Read
(Snapshot Isolation)03
Read committed
02
Read uncommitted
(Dirty Read)01
● Has no concurrency control
● No overhead
● Bad data consistency
Serializable
04
● Use locks for concurrency control
● High overhead
● Good consistency
Repeatable Read
(Snapshot Isolation)03
Read committed
02
Read uncommitted
(Dirty Read)01
● Has no concurrency control
● No overhead
● Bad data consistency
Serializable
04
● Use locks for concurrency control
● High overhead
● Good consistency
Repeatable Read
(Snapshot Isolation)03
Read committed
02
Read uncommitted
(Dirty Read)01
● Has no concurrency control
● No overhead
● Bad data consistency
?
Serializable
04
● Use locks for concurrency control
● High overhead
● Good consistency
Repeatable Read
(Snapshot Isolation)03
Read committed
02
● Use committed/uncommitted state for CC
● Very low overhead
● Prevent Dirty Read
● Has Non-repeatable Read issue
Read uncommitted
(Dirty Read)01
● Has no concurrency control
● No overhead
● Bad data consistency
Query 1
BEGIN TRANSACTION
INSERT INTO mails (content, read) VALUE (content, FALSE);
SET notifications_count = (SELECT COUNT(*) FROM mails WHERE read IS FALSE)
FROM mailboxes;
END
Query 2
BEGIN TRANSACTION
SELECT notifications_count FROM mailboxes;
SELECT * FROM mails WHERE read IS FALSE;
END
Multiversion Concurrency Control (MVCC)
● When a record is created (using INSERT), it has created_id as the current transaction_id and
deleted_id as nil.
● When a record is updated, a new row is created with created_id as the current transaction_id and
deleted_id as nil. The old row is updated with deleted_id as the current transaction_id.
● When a record is deleted, deleted_id of the row is updated with current transaction_id.
● When reading, we filter all versions of the row using 2 criterias:
○ row must have created_id <= current transaction id
○ row must have deleted_id > current transaction id or nil
Serializable
04
● Use locks for concurrency control
● High overhead
● Good consistency
Repeatable Read
(Snapshot Isolation)03
● Use MVCC
● Low overhead
● Prevent Dirty Read & Non-repeatable Read
● Prevent certain Phantom Read issues
Read committed
02
● Use committed/uncommitted state for CC
● Very low overhead
● Prevent Dirty Read
● Has Non-repeatable Read issue
Read uncommitted
(Dirty Read)01
● Has no concurrency control
● No overhead
● Bad data consistency
Prevent data inconsistency for non-serialization
● Application level of concurrency control
● Scheduled audit to check bad data
Usage
Read
uncommitted
● Not recommend
● Should only be used in very
special cases
Read committed
● Not recommend
● Used in application which
required very fast read/write
Repeatable Read ● Recommended for most OLTP
application
Serializable ● Recommended for data-critical
application like banking
Conclusion
Conclusion
● Isolation Level is level of
invisibility of a transaction to
another transaction
● There are 4 levels defined by SQL
● Each level has trade-off in
consistency and concurrency
● Aware of data inconsistency
problem of non-serialization
isolation levels
Thank you for listening!

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Understanding isolation levels

Editor's Notes

  1. Dirty Read: poloniex issue with mongoDB
  2. Use locks for concurrency control Acquire locks when write/or read Only released after the transaction finishes
  3. Add a committed field to every record
  4. Non-repeatable Read
  5. Non-repeatable Read
  6. Phantom read
  7. This is the default level of MongoDB. Oracle does not supports this level. Example: external logging system
  8. This is the default setting in PostgreSQL, SQL Server and Oracle Example: Chat application
  9. Default level of MySQL InnoDB Example: e-commerce, CRUD app
  10. MySQL, SQL Server and Oracle supports this level. PostgreSQL only has this level from version 9.5. MongoDB does not support this level (supports serializable only in single document).