The Serializable and Snapshot isolation levels are two different mechanisms for controlling concurrent access to data in PostgreSQL.
Serializable isolation level is the highest level of isolation in PostgreSQL, it guarantees that transactions behave as if they are the only ones operating on the data even though there might be multiple concurrent transactions. This means that transactions adhere to the Serializable isolation level standards, which will prevent any dirty reads, non-repeatable reads, and phantom reads. In Serializable isolation, after a transaction has acquired a lock on a row or table, it will hold it until the end of the transaction. This level is generally slow, so it should only be used when data integrity is most important.
Snapshot isolation level works differently from Serializable as it does not lock or block concurrent transactions. The Snapshot isolation level reads a consistent snapshot of the database at the beginning of a transaction and works on it during the transaction. This approach allows transactions to access the same database concurrently without blocking each other. Suppose a transaction tries to modify data that another transaction is also modifying, then PostgreSQL will detect the conflict and abort one of the transactions to prevent inconsistencies. This isolation level is much faster than Serializable and is suitable for use cases where data conflicts are unlikely.
Transaction management is a challenging issue to address with concurrent access in PostgreSQL. There are several considerations to be made when deciding which isolation level to use. Serializable provides a high level of security, but it can also result in blocking, causing slow transaction speeds. Snapshot isolation is non-blocking, faster, and suitable for scenarios with less contention.
Here is a Java code example that demonstrates the differences between the two isolation levels:
Connection conn = DriverManager.getConnection(url, props);
conn.setAutoCommit(false);
conn.setTransactionIsolation(Connection.TRANSACTION_SERIALIZABLE);
PreparedStatement pstmt = conn.prepareStatement(
"SELECT * FROM accounts WHERE id = ?");
pstmt.setInt(1, 1);
ResultSet rs1 = pstmt.executeQuery();
// Transaction 1 holds a lock on the account with id=1.
PreparedStatement pstmt2 = conn.prepareStatement(
"SELECT * FROM accounts WHERE id = ?");
pstmt2.setInt(1, 2);
ResultSet rs2 = pstmt2.executeQuery();
// Transaction 2 attempts to modify the account with id=2,
// but since transaction 1 is holding a lock, it is blocked.
// ... Do some work with the locked data ...
// The lock is released when the transaction ends:
conn.commit()
Connection conn = DriverManager.getConnection(url, props);
conn.setAutoCommit(false);
conn.setTransactionIsolation(Connection.TRANSACTION_SNAPSHOT);
PreparedStatement pstmt = conn.prepareStatement(
"SELECT * FROM accounts WHERE id = ?");
pstmt.setInt(1, 1);
ResultSet rs1 = pstmt.executeQuery();
// Transaction 1 reads a consistent snapshot of the database.
PreparedStatement pstmt2 = conn.prepareStatement(
"SELECT * FROM accounts WHERE id = ?");
pstmt2.setInt(1, 2);
ResultSet rs2 = pstmt2.executeQuery();
// Transaction 2 modifies another account, which does not conflict with
// transaction 1's snapshot, so no blocking occurs.
// ... Do some work with the modified data ...
conn.commit()
In summary, Serializable isolation is suitable for use cases where data integrity is critical, and Snapshot isolation is ideal for scenarios where data contention is minimal.