Hướng dẫn cài đặt oracle Informational, Transactional năm 2024
A transaction groups SQL statements so that they are either all committed, which means they are applied to the database, or all rolled back, which means they are undone from the database. Oracle Database assigns every transaction a unique identifier called a . Show All Oracle transactions obey the basic properties of a database transaction, known as . ACID is an acronym for the following:
The use of transactions is one of the most important ways that a database management system differs from a file system. Sample Transaction: Account Debit and CreditTo illustrate the concept of a transaction, consider a banking database. When a customer transfers money from a savings account to a checking account, the transaction must consist of three separate operations:
Oracle Database must allow for two situations. If all three SQL statements maintain the accounts in proper balance, then the effects of the transaction can be applied to the database. However, if a problem such as insufficient funds, invalid account number, or a hardware failure prevents one or two of the statements in the transaction from completing, then the database must roll back the entire transaction so that the balance of all accounts is correct. The following graphic illustrates a banking transaction. The first statement subtracts $500 from savings account 3209. The second statement adds $500 to checking account 3208. The third statement inserts a record of the transfer into the journal table. The final statement commits the transaction. Structure of a TransactionA database transaction consists of one or more statements. Specifically, a transaction consists of one of the following:
A transaction has a beginning and an end. See Also:
Beginning of a TransactionA transaction begins when the first executable SQL statement is encountered. An is a SQL statement that generates calls to a , including DML and DDL statements and the
4 statement. When a transaction begins, Oracle Database assigns the transaction to an available segment to record the undo entries for the new transaction. A transaction ID is not allocated until an undo segment and slot are allocated, which occurs during the first DML statement. A transaction ID is unique to a transaction and represents the undo segment number, slot, and sequence number. The following example execute an
5 statement to begin a transaction and queries
6 for details about the transaction:
End of a TransactionA transaction can end under different circumstances. A transaction ends when any of the following actions occurs:
After one transaction ends, the next executable SQL statement automatically starts the following transaction. The following example executes an
5 to start a transaction, ends the transaction with a
8 statement, and then executes an
5 to start a new transaction (note that the transaction IDs are different):
See Also:
Statement-Level AtomicityOracle Database supports statement-level atomicity, which means that a SQL statement is an atomic unit of work and either completely succeeds or completely fails. A successful statement is different from a committed transaction. A single SQL statement executes successfully if the database parses and runs it without error as an atomic unit, as when all rows are changed in a multirow update. If a SQL statement causes an error during execution, then it is not successful and so all effects of the statement are rolled back. This operation is a . This operation has the following characteristics:
An example of an error causing a statement-level rollback is an attempt to insert a duplicate . Single SQL statements involved in a , which is competition for the same data, can also cause a statement-level rollback. However, errors discovered during SQL statement parsing, such as a syntax error, have not yet been run and so do not cause a statement-level rollback. System Change Numbers (SCNs)A system change number (SCN) is a logical, internal time stamp used by Oracle Database. SCNs order events that occur within the database, which is necessary to satisfy the ACID properties of a transaction. Oracle Database uses SCNs to mark the SCN before which all changes are known to be on disk so that recovery avoids applying unnecessary redo. The database also uses SCNs to mark the point at which no redo exists for a set of data so that recovery can stop. SCNs occur in a monotonically increasing sequence. Oracle Database can use an SCN like a clock because an observed SCN indicates a logical point in time, and repeated observations return equal or greater values. If one event has a lower SCN than another event, then it occurred at an earlier time in the database. Several events may share the same SCN, which means that they occurred at the same time in the database. Every transaction has an SCN. For example, if a transaction updates a row, then the database records the SCN at which this update occurred. Other modifications in this transaction have the same SCN. When a transaction commits, the database records an SCN for this commit. Oracle Database increments SCNs in the . When a transaction modifies data, the database writes a new SCN to the undo data segment assigned to the transaction. The log writer process then writes the commit record of the transaction immediately to the . The commit record has the unique SCN of the transaction. Oracle Database also uses SCNs as part of its and mechanisms. Overview of Transaction ControlTransaction control is the management of changes made by DML statements and the grouping of DML statements into transactions. In general, application designers are concerned with transaction control so that work is accomplished in logical units and data is kept consistent. Transaction control involves using the following statements, as described in "":
The session in illustrates the basic concepts of transaction control. Table 12-1 Transaction Control T Session Explanation t0
This statement ends any existing transaction in the session. t1
This statement begins a transaction and names it
9. t2
This statement updates the salary for Banda to 7000. t3
This statement creates a savepoint named
0, enabling changes in this transaction to be rolled back to this point. t4
This statement updates the salary for Greene to 12000. t5
This statement creates a savepoint named
1, enabling changes in this transaction to be rolled back to this point. t6
This statement rolls back the transaction to t3, undoing the update to Greene's salary at t4. The
9 transaction has not ended. t7
This statement updates the salary for Greene to 11000 in transaction
9. t8
0 This statement rolls back all changes in transaction
9, ending the transaction. t9
1 This statement begins a new transaction in the session and names it
5. t10
2 This statement updates the salary for Banda to 7050. t11
3 This statement updates the salary for Greene to 10950. t12
This statement commits all changes made in transaction
5, ending the transaction. The commit guarantees that the changes are saved in the online redo log files. Transaction NamesA transaction name is an optional, user-specified tag that serves as a reminder of the work that the transaction is performing. You name a transaction with the
4
8
9 statement, which if used must be first statement of the transaction. In , the first transaction was named
9 and the second was named
5. Transaction names provide the following advantages:
See Also:
Active TransactionsAn active transaction is one that has started but not yet committed or rolled back. In , the first statement to modify data in the
9 transaction is the update to Banda's salary. From the successful execution of this update until the
8 statement ends the transaction, the
9 transaction is active. Data changes made by a transaction are temporary until the transaction is committed or rolled back. Before the transaction ends, the state of the data is as shown in the following table. Table 12-2 State of the Data Before the Transaction Ends State Description To Learn More Oracle Database has generated undo information in the SGA. The undo data contains the old data values changed by the SQL statements of the transaction. "" Oracle Database has generated redo in the online redo log buffer of the SGA. The redo log record contains the change to the data block and the change to the undo block. "" Changes have been made to the database buffers of the SGA. The data changes for a committed transaction, stored in the database buffers of the SGA, are not necessarily written immediately to the data files by the . The disk write can happen before or after the commit. "" The rows affected by the data change are locked. Other users cannot change the data in the affected rows, nor can they see the uncommitted changes. "" SavepointsA savepoint is a user-declared intermediate marker within the context of a transaction. Internally, the savepoint marker resolves to an SCN. Savepoints divide a long transaction into smaller parts. If you use savepoints in a long transaction, then you have the option later of rolling back work performed before the current point in the transaction but after a declared savepoint within the transaction. Thus, if you make an error, you do not need to resubmit every statement. creates savepoint
0 so that the update to the Greene salary can be rolled back to this savepoint. Rollback to SavepointA rollback to a savepoint in an uncommitted transaction means undoing any changes made after the specified savepoint, but it does not mean a rollback of the transaction itself. When a transaction is rolled back to a savepoint, as when the
9 is run in , the following occurs:
The transaction remains active and can be continued. See Also:
Enqueued TransactionsDepending on the scenario, transactions waiting for previously locked resources may still be blocked after a rollback to savepoint. When a transaction is blocked by another transaction it enqueues on the blocking transaction itself, so that the entire blocking transaction must commit or roll back for the blocked transaction to continue. In the scenario shown in the following table, session 1 rolls back to a savepoint created before it executed a DML statement. However, session 2 is still blocked because it is waiting for the session 1 transaction to complete. Table 12-3 Rollback to Savepoint Example T Session 1 Session 2 Session 3 Explanation t0
5 Session 1 begins a transaction. The session places an exclusive lock on the
8 row (TX) and a subexclusive table lock (SX) on the table. t1
6 Session 1 creates a savepoint named
0. t2
7 Session 1 locks the
0 row. t3
8 Session 2 attempts to update the
0 row, but fails to acquire a lock because session 1 has a lock on this row. No transaction has begun in session 2. t4
9 Session 1 rolls back the update to the salary for
0, which releases the row lock for
0. The table lock acquired at t0 is not released. At this point, session 2 is still blocked by session 1 because session 2 enqueues on the session 1 transaction, which has not yet completed. t5
0 The
0 row is currently unlocked, so session 3 acquires a lock for an update to the
0 row. This statement begins a transaction in session 3. t6
1 Session 1 commits, ending its transaction. Session 2 is now enqueued for its update to the
0 row behind the transaction in session 3. See Also: "" to learn more about when Oracle Database releases locks Rollback of TransactionsA rollback of an uncommitted transaction undoes any changes to data that have been performed by SQL statements within the transaction. After a transaction has been rolled back, the effects of the work done in the transaction no longer exist. In rolling back an entire transaction, without referencing any savepoints, Oracle Database performs the following actions:
The duration of a rollback is a function of the amount of data modified. Commits of TransactionsA commit ends the current transaction and makes permanent all changes performed in the transaction. In , a second transaction begins with
5 and ends with an explicit
7 statement. The changes that resulted from the two
5 statements are now made permanent. When a transaction commits, the following actions occur:
After a transaction commits, users can view the changes. Typically, a commit is a fast operation, regardless of the transaction size. The speed of a commit does not increase with the size of the data modified in the transaction. The lengthiest part of the commit is the physical disk I/O performed by LGWR. However, the amount of time spent by LGWR is reduced because it has been incrementally writing the contents of the redo log buffer in the background. The default behavior is for LGWR to write redo to the online redo log synchronously and for transactions to wait for the buffered redo to be on disk before returning a commit to the user. However, for lower transaction commit latency, application developers can specify that redo be written asynchronously so that transactions need not wait for the redo to be on disk and can return from the
7 call immediately. See Also:
Overview of Transaction GuardTransaction Guard is an API that applications can use to provide transaction idempotence, which is the ability of the database to preserve a guaranteed commit outcome that indicates whether a transaction committed and completed. Oracle Database provides the API for JDBC thin, OCI, OCCI, and ODP.Net. A is caused by an external system failure, independent of the application session logic that is executing. Recoverable errors occur following planned and unplanned outages of foreground processes, networks, nodes, storage, and databases. If an outage breaks the connection between a client application and the database, then the application receives a disconnection error message. The transaction that was running when the connection broke is called an . To decide whether to resubmit the transaction or to return the result (committed or uncommitted) to the client, the application must determine the outcome of the in-flight transaction. Before Oracle Database 12c, commit messages returned to the client were not persistent. Checking a transaction was no guarantee that it would not commit after being checked, permitting duplicate transactions and other forms of logical corruption. For example, a user might refresh a web browser when purchasing a book online and be charged twice for the same book. See Also:
Benefits of Transaction GuardStarting in Oracle Database 12c, Transaction Guard provides applications with a tool for determining the status of an in-flight transaction following a recoverable outage. Using Transaction Guard, an application can ensure that a transaction executes no more than once. For example, if an online bookstore application determines that the previously submitted commit failed, then the application can safely resubmit. Transaction Guard provides a tool for at-most-once execution to avoid the application executing duplicate submissions. Transaction Guard provides a known outcome for every transaction. Transaction Guard is a core Oracle Database capability. Application Continuity uses Transaction Guard when masking outages from end users. Without Transaction Guard, an application retrying after an error may cause duplicate transactions to be committed. See Also:
How Transaction Guard WorksThis section explains the problem of lost commit messages and how Transaction Guard uses logical transaction IDs to solve the problem. Lost Commit MessagesWhen designing for idempotence, developers must address the problem of communication failures after submission of commit statements. Commit messages do not persist in the database and so cannot be retrieved after a failure. The following graphic is a high-level representation of an interaction between a client application and a database. In the standard commit case, the database commits a transaction and returns a success message to the client. In , the client submits a commit statement and receives a message stating that communication failed. This type of failure can occur for several reasons, including a database instance failure or network outage. In this scenario, the client does not know the state of the transaction. Following a communication failure, the database may still be running the submission and be unaware that the client disconnected. Checking the transaction state does not guarantee that an active transaction will not commit after being checked. If the client resends the commit because of this out-of-date information, then the database may repeat the transaction, resulting in logical corruption. Logical Transaction IDOracle Database solves the communication failure by using a globally unique identifier called a logical transaction ID. This ID contains the logical session number allocated when a session first connects, and a running commit number that is updated each time the session commits or rolls back. From the application perspective, the logical transaction ID uniquely identifies the last database transaction submitted on the session that failed. For each round trip from the client in which one or more transactions are committed, the database stores a logical transaction ID. This ID can provide transaction idempotence for interactions between the application and the database for each round trip that commits data. The at-most-once protocol enables access to the commit outcome by requiring the database to do the following:
While a transaction is running, both the database and client hold the logical transaction ID. The database gives the client a logical transaction ID at authentication, when borrowing from a connection pool, and at each round trip from the client driver that executes one or more commit operations. Before the application can determine the outcome of the last transaction following a recoverable error, the application obtains the logical transaction ID held at the client using Java, OCI, OCCI, or ODP.Net APIs. The application then invokes the PL/SQL procedure
03 with the logical transaction ID to determine the outcome of the last submission: committed (
04 or
04 or
05). When using Transaction Guard, the application can replay transactions when the error is recoverable and the last transaction on the session has not committed. The application can continue when the last transaction has committed and the user call has completed. The application can use Transaction Guard to return the known outcome to the client so that the client can decide the next action to take. See Also:
Transaction Guard: ExampleIn this scenario, the commit message is lost because of a recoverable error. Transaction Guard uses the logical transaction ID to preserve the outcome of the
7 statement, ensuring that there is a known outcome for the transaction. In , the database informs the application whether the transaction committed and whether the last user call completed. The application can then return the result to the end user. The possibilities are:
Overview of Application ContinuityApplication Continuity attempts to mask outages from applications by replaying incomplete application requests after unplanned and planned outages. In this context, a request is a unit of work from the application. Typically, a request corresponds to the DML statements and other database calls of a single web request on a single database connection. In general, a request is demarcated by the calls made between check-out and check-in of a database connection from a connection pool. This section contains the following topics: Benefits of Application ContinuityA basic problem for developers is how to mask a lost database session from end users. Application Continuity attempts to solve the lost session problem by restoring the database session when any component disrupts the conversation between database and client. The restored database session includes all states, cursors, variables, and the most recent transaction when one exists. Use Case for Application ContinuityIn a typical case, a client has submitted a request to the database, which has built up both transactional and nontransactional states. The state at the client remains current, potentially with entered data, returned data, and cached data and variables. However, the database session state, which the application needs to operate within, is lost. If the client request has initiated one or more transactions, then the application is faced with the following possibilities:
If the replay is successful, then database user service for planned and unplanned outages is not interrupted. If the database detects changes in the data seen and potentially acted on by the application, then the replay is rejected. Replay is not attempted when the time allowed for starting replay is exceeded, the application uses a restricted call, or the application has explicitly disabled replay using the
10 method. Application Continuity for Planned MaintenanceApplication Continuity for planned outages enables applications to continue operations for database sessions that can be reliably drained or migrated. Scheduled maintenance need not disrupt application work. Application Continuity gives active work time to drain from its current location to a new location currently unaffected by maintenance. At the end of the drain interval, sessions may remain on the database instance where maintenance is planned. Instead of forcibly disconnecting these sessions, Application Continuity can fail over these sessions to a surviving site, and resubmit any in-flight transactions. With Application Continuity enabled the database can do the following:
Control the drain behavior during planned maintenance using the
11 and
12 service attributes of the SRVCTL utility, Global Data Services Control Utility (GDSCTL), and Oracle Data Guard Broker. The
13 package provides the underlying infrastructure. See Also:
Application Continuity ArchitectureThe key components of Application Continuity are runtime, reconnection, and replay. The phases are as follows:
Following a successful replay, the request continues from the point of failure. See Also:
Overview of Autonomous TransactionsAn autonomous transaction is an independent transaction that can be called from another transaction, which is the main transaction. You can suspend the calling transaction, perform SQL operations and commit or undo them in the autonomous transaction, and then resume the calling transaction. Autonomous transactions are useful for actions that must be performed independently, regardless of whether the calling transaction commits or rolls back. For example, in a stock purchase transaction, you want to commit customer data regardless of whether the overall stock purchase goes through. Additionally, you want to log error messages to a debug table even if the overall transaction rolls back. Autonomous transactions have the following characteristics:
In PL/SQL, an autonomous transaction executes within an autonomous scope, which is a routine marked with the pragma
15. In this context, routines include top-level anonymous PL/SQL blocks and PL/SQL subprograms and triggers. A is a directive that instructs the compiler to perform a compilation option. The pragma
15 instructs the database that this procedure, when executed, is to be executed as a new autonomous transaction that is independent of its parent transaction. The following graphic shows how control flows from the main routine (MT) to an autonomous routine and back again. The main routine is
17 and the autonomous routine is
18. The autonomous routine can commit multiple transactions (AT1 and AT2) before control returns to the main routine. When you enter the executable section of an autonomous routine, the main routine suspends. When you exit the autonomous routine, the main routine resumes. In , the
7 inside
17 makes permanent not only its own work but any outstanding work performed in its session. However, a
7 in
18 makes permanent only the work performed in the
18 transaction. Thus, the
7 statements in transactions AT1 and AT2 have no effect on the MT transaction. Overview of Distributed TransactionsA distributed transaction is a transaction that includes one or more statements that update data on two or more distinct nodes of a distributed database, using a schema object called a database link. A is a set of databases in a distributed system that can appear to applications as a single data source. A describes how one database instance can log in to another database instance. Unlike a transaction on a local database, a distributed transaction alters data on multiple databases. Consequently, distributed transaction processing is more complicated because the database must coordinate the committing or rolling back of the changes in a transaction as an atomic unit. The entire transaction must commit or roll back. Oracle Database must coordinate transaction control over a network and maintain data consistency, even if a network or system failure occurs. Two-Phase CommitThe two-phase commit mechanism guarantees that all databases participating in a distributed transaction either all commit or all undo the statements in the transaction. The mechanism also protects implicit DML performed by integrity constraints, remote procedure calls, and triggers. In a two-phase commit among multiple databases, one database coordinates the distributed transaction. The initiating node is called the global coordinator. The coordinator asks the other databases if they are prepared to commit. If any database responds with a no, then the entire transaction is rolled back. If all databases vote yes, then the coordinator broadcasts a message to make the commit permanent on each of the databases. The two-phase commit mechanism is transparent to users who issue distributed transactions. In fact, users need not even know the transaction is distributed. A
7 statement denoting the end of a transaction automatically triggers the two-phase commit mechanism. No coding or complex statement syntax is required to include distributed transactions within the body of a database application. See Also:
In-Doubt TransactionsAn in-doubt distributed transaction occurs when a two-phase commit was interrupted by any type of system or network failure. For example, two databases report to the coordinating database that they were prepared to commit, but the coordinating database instance fails immediately after receiving the messages. The two databases who are prepared to commit are now left hanging while they await notification of the outcome. The recoverer (
26 process of each local Oracle database automatically commits or rolls back any in-doubt distributed transactions consistently on all involved nodes. In the event of a long-term failure, Oracle Database enables each local administrator to manually commit or undo any distributed transactions that are in doubt because of the failure. This option enables the local database administrator to free any locked resources that are held indefinitely because of the long-term failure. If a database must be recovered to a past time, then database recovery facilities enable database administrators at other sites to return their databases to the earlier point in time. This operation ensures that the global database remains consistent. See Also:
Footnote Legend Footnote 1: For Oracle Real Application Clusters (Oracle RAC), the logical transaction ID includes the database instance number as a prefix. |