
Data Manipulation Language (DML) statements are used to access and manipulate data in existing tables. A transaction is a sequence of SQL statements that are treated as a unit, meaning that either all of the statements are performed, or none of them are. Multiple DML statements can be included in a single transaction, but this can potentially lead to performance issues due to concurrency. However, in certain cases, it may be necessary to group multiple DML statements into a single transaction to model specific business processes. The number of DML statements that constitute a transaction can vary, and it depends on the specific requirements and constraints of the database system being used.
| Characteristics | Values |
|---|---|
| Definition of DML Statements | Data manipulation language (DML) statements add, change, and delete data in existing tables. |
| Definition of Transaction | A transaction is a sequence of one or more SQL statements that are treated as a unit: either all of the statements are performed, or none of them are. |
| Relationship between DML Statements and Transactions | A transaction can consist of a single DML statement or multiple DML statements. Multiple DML statements in a single transaction can cause performance issues due to concurrency. |
| SAVEPOINT Statement | The SAVEPOINT statement marks a point in a transaction to which you can later roll back. Savepoints are optional, and a transaction can have multiple savepoints. |
| Implicit vs. Explicit Transactions | Some commands generate "implicit" transactions, which auto-commit when the statement ends. An explicit transaction uses BEGIN TRAN/COMMIT to group multiple commands in sync. |
| CRUD Operations | Create, Read, Update, and Delete operations can be performed using DML statements in Salesforce. |
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What You'll Learn
- DML statements can be entered in SQL*Plus or SQL Developer environments
- A transaction is a sequence of SQL statements treated as a unit
- Committing a transaction makes changes permanent
- Savepoints are optional and allow for rolling back transactions
- Multiple DML statements in a transaction can cause performance issues

DML statements can be entered in SQL*Plus or SQL Developer environments
Data Manipulation Language (DML) statements are a type of SQL command used to manipulate data in a database. They are used to insert, update, and delete data from a database table. Examples of DML statements include INSERT, UPDATE, and DELETE.
In the SQL*Plus environment, you can enter a DML statement after the SQL> prompt. For instance, the INSERT statement is used to insert rows into an existing table. This can be done by using the SQL> prompt in the SQL*Plus environment.
In the SQL Developer environment, you can enter a DML statement in the Worksheet. Alternatively, you can use the SQL Developer Connections frame and tools to access and manipulate data. For example, to insert a new record into the employees' table, you can use the following query:
> INSERT INTO employees (first_name, last_name, department) VALUES ('Jane', 'Smith', 'HR')
This query inserts a new record with the first name 'Jane', last name 'Smith', and department 'HR' into the employees table.
It is important to note that the effect of a DML statement is not permanent until you commit the transaction that includes it. A transaction is a sequence of one or more SQL statements that Oracle Database treats as a unit. In other words, either all of the statements are performed, or none of them are. You can use the Commit Changes and Rollback Changes icons in SQL Developer to manage transactions.
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A transaction is a sequence of SQL statements treated as a unit
A transaction is a sequence of SQL statements that are treated as a single unit of work. This means that all the statements are either performed or none of them are, ensuring data integrity and consistency. In other words, a transaction is a way to group multiple SQL operations into one unified unit, allowing for efficient management of databases.
In the context of Data Manipulation Language (DML), a transaction is a sequence of one or more SQL statements that involve adding, changing, or deleting data in existing tables. For example, when a manager leaves a company, a transaction can be used to insert a row into the JOB_HISTORY table and update the MANAGER_ID value for all employees who reported to that manager. This ensures that all the related operations are treated as a single unit, maintaining the consistency of the database.
The concept of atomicity is crucial in transactions. It means that a transaction is treated as an indivisible unit, and either all the operations within it succeed, or none of them do. If any errors occur during the execution of a transaction, it can be rolled back, undoing all the changes made during that transaction. This rollback operation ensures that the database returns to its previous stable state, maintaining its integrity.
Transactions are started with the BEGIN TRANSACTION command, and they continue until a COMMIT or ROLLBACK is encountered. The SAVEPOINT statement can be used within a transaction to mark a point to which the transaction can be rolled back if needed. These savepoints are optional and a transaction can have multiple savepoints. Additionally, each statement outside an explicit transaction is treated as its own implicit single-statement transaction, automatically committing if it succeeds and rolling back if it fails.
Overall, the concept of transactions in SQL is essential for ensuring that multiple operations are treated as a single unit, maintaining data integrity and consistency in relational databases. By grouping SQL statements together, transactions provide a powerful tool for efficient database management.
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Committing a transaction makes changes permanent
Data manipulation language (DML) statements are used to access and manipulate data in existing tables. They add, change, and delete data in database tables. A transaction is a sequence of one or more SQL statements that are treated as a unit. This means that either all of the statements are performed, or none of them are.
Committing a transaction makes the changes permanent. Before a transaction that modifies data is committed, the following occurs:
- Oracle generates undo information, which contains the old data values changed by the transaction's SQL statements.
- Oracle generates redo log entries in the redo log buffer of the SGA. The redo log record contains changes to the data block and the rollback block.
- The changes are made to the database buffers of the SGA.
Committing a transaction also erases its savepoints and releases its locks. Savepoints are intermediate markers that can be used to roll back or undo parts of a transaction while committing the rest. They are optional, and a transaction can have multiple savepoints. Savepoints allow for more granular control over the statements in a transaction.
In the context of database management, SQL commands are crucial for effective management. These commands fall into categories such as Data Definition Language (DDL), Data Manipulation Language (DML), Data Control Language (DCL), Data Query Language (DQL), and Transaction Control Language (TCL). SQL can perform various tasks such as creating tables, adding data to tables, modifying tables, and setting permissions for users.
A transaction for which all committed changes are permanent is called atomic, consistent, isolated, and durable.
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Savepoints are optional and allow for rolling back transactions
A transaction is a sequence of one or more SQL statements that Oracle Database treats as a unit. Either all of the statements are performed, or none of them are. Data manipulation language (DML) statements access and manipulate data in existing tables.
Savepoints are optional markers within a transaction that allow for rolling back transactions to a specified point. They are used to roll back part of a transaction instead of the entire transaction. This means that if a transaction is rolled back to a savepoint, only the statements after the savepoint and before the rollback command will be rolled back. Savepoints can be useful when it is necessary to roll back part of a transaction, usually when there is a low possibility of error in part of the transaction, and the prior validation of the operation’s accuracy is too costly.
To set a savepoint within a transaction, the SAVEPOINT
To roll back a transaction to a savepoint, use the ROLLBACK TO SAVEPOINT
To release a savepoint and keep the effects of commands executed after it was established, use the RELEASE SAVEPOINT command.
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Multiple DML statements in a transaction can cause performance issues
Data Manipulation Language (DML) statements are an integral part of SQL, facilitating the addition, modification, and deletion of data within existing database tables. A transaction, on the other hand, refers to a sequence of one or more SQL statements that are treated as a single unit by the database system, where either all statements are executed or none at all. This concept is crucial for ensuring data integrity and consistency in processes that require multiple interconnected operations.
While combining multiple DML statements into a single transaction can provide benefits in certain scenarios, it is important to be aware of potential performance issues that may arise. One significant challenge is concurrency, which can lead to blocking or deadlocks within the system. When multiple DML statements are grouped into a single transaction, they are more likely to interfere with each other, causing delays or preventing concurrent processes from proceeding.
The performance impact of multiple DML statements in a transaction can be attributed to the difficulty in creating an effective execution plan. Each DML statement within a transaction is executed as part of a larger unit, making it challenging for the database system to optimise the execution of individual statements. As a result, the overall performance may suffer due to the lack of optimisation at the statement level.
To mitigate these issues, it is generally recommended to separate DML statements into individual stored procedures whenever possible. By doing so, a distinct execution plan can be created for each statement, allowing for more efficient processing. Additionally, this approach provides greater flexibility in managing and optimising each statement independently, which can be particularly advantageous when specific statements require frequent recompilation.
However, it is important to note that there are scenarios where grouping multiple DML statements into a single transaction is necessary. In cases where the DML statements are conceptually an atomic unit of work, they must be grouped together explicitly. This ensures that the statements are treated as a cohesive unit, either all succeeding or all failing, to maintain data integrity and consistency. Therefore, the decision to separate or group DML statements depends on the specific requirements of the task at hand.
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Frequently asked questions
Data manipulation language (DML) statements add, change, and delete data in database tables.
A transaction is a sequence of one or more SQL statements that are treated as a unit. Either all of the statements are performed, or none of them are.
DML statements can be part of a transaction. A transaction can include multiple DML statements, but they must be explicitly grouped by a BEGIN TRAN and COMMIT / ROLLBACK.
There is no limit to the number of DML statements that can be included in a single transaction. However, including multiple DML statements in a transaction can have performance issues due to concurrency, and it may be preferable to put each DML statement into a separate stored procedure. Additionally, Salesforce imposes governor limits on the total number of DML statements allowed per transaction.

























