In relational databases, the log trigger or history trigger is a mechanism for automatic recording of information about changes inserting or/and updating or/and deleting rows in a database table.

It is a particular technique for change data capturing, and in data warehousing for dealing with slowly changing dimensions.

Definition

Suppose there is a table which we want to audit. This table contains the following columns:

Column1, Column2, ..., Columnn

The column Column1 is assumed to be the primary key.

These columns are defined to have the following types:

Type1, Type2, ..., Typen

The Log Trigger works writing the changes (INSERT, UPDATE and DELETE operations) on the table in another, history table, defined as following:

CREATE TABLE HistoryTable (
   Column1   Type1,
   Column2   Type2,
      :        :
   Columnn   Typen,

   StartDate DATETIME,
   EndDate   DATETIME
)

As shown above, this new table contains the same columns as the original table, and additionally two new columns of type DATETIME: StartDate and EndDate. This is known as tuple versioning. These two additional columns define a period of time of "validity" of the data associated with a specified entity (the entity of the primary key), or in other words, it stores how the data were in the period of time between the StartDate (included) and EndDate (not included).

For each entity (distinct primary key) on the original table, the following structure is created in the history table. Data is shown as example.

example

Notice that if they are shown chronologically the EndDate column of any row is exactly the StartDate of its successor (if any). It does not mean that both rows are common to that point in time, since -by definition- the value of EndDate is not included.

There are two variants of the Log trigger, depending how the old values (DELETE, UPDATE) and new values (INSERT, UPDATE) are exposed to the trigger (it is RDBMS dependent):

Old and new values as fields of a record data structure

CREATE TRIGGER HistoryTable ON OriginalTable FOR INSERT, DELETE, UPDATE AS
DECLARE @Now DATETIME
SET @Now = GETDATE()

/* deleting section */

UPDATE HistoryTable
   SET EndDate = @Now
 WHERE EndDate IS NULL
   AND Column1 = OLD.Column1

/* inserting section */

INSERT INTO HistoryTable (Column1, Column2, ...,Columnn, StartDate, EndDate) 
VALUES (NEW.Column1, NEW.Column2, ..., NEW.Columnn, @Now, NULL)

Old and new values as rows of virtual tables

CREATE TRIGGER HistoryTable ON OriginalTable FOR INSERT, DELETE, UPDATE AS
DECLARE @Now DATETIME
SET @Now = GETDATE()

/* deleting section */

UPDATE HistoryTable
   SET EndDate = @Now
  FROM HistoryTable, DELETED
 WHERE HistoryTable.Column1 = DELETED.Column1
   AND HistoryTable.EndDate IS NULL

/* inserting section */

INSERT INTO HistoryTable
       (Column1, Column2, ..., Columnn, StartDate, EndDate)
SELECT (Column1, Column2, ..., Columnn, @Now, NULL)
  FROM INSERTED

Implementation in common RDBMS

-- Trigger for INSERT
CREATE TRIGGER Database.TableInsert AFTER INSERT ON Database.OriginalTable
REFERENCING NEW AS N
FOR EACH ROW MODE DB2SQL
BEGIN
   DECLARE Now TIMESTAMP;
   SET NOW = CURRENT TIMESTAMP;

   INSERT INTO Database.HistoryTable (Column1, Column2, ..., Columnn, StartDate, EndDate)
   VALUES (N.Column1, N.Column2, ..., N.Columnn, Now, NULL);
END;

-- Trigger for DELETE
CREATE TRIGGER Database.TableDelete AFTER DELETE ON Database.OriginalTable
REFERENCING OLD AS O
FOR EACH ROW MODE DB2SQL
BEGIN
   DECLARE Now TIMESTAMP;
   SET NOW = CURRENT TIMESTAMP;

   UPDATE Database.HistoryTable
      SET EndDate = Now
    WHERE Column1 = O.Column1
      AND EndDate IS NULL;
END;

-- Trigger for UPDATE
CREATE TRIGGER Database.TableUpdate AFTER UPDATE ON Database.OriginalTable
REFERENCING NEW AS N OLD AS O
FOR EACH ROW MODE DB2SQL
BEGIN
   DECLARE Now TIMESTAMP;
   SET NOW = CURRENT TIMESTAMP;

   UPDATE Database.HistoryTable
      SET EndDate = Now
    WHERE Column1 = O.Column1
      AND EndDate IS NULL;

   INSERT INTO Database.HistoryTable (Column1, Column2, ..., Columnn, StartDate, EndDate)
   VALUES (N.Column1, N.Column2, ..., N.Columnn, Now, NULL);
END;

CREATE TRIGGER TableTrigger ON OriginalTable FOR DELETE, INSERT, UPDATE AS

DECLARE @NOW DATETIME
SET @NOW = CURRENT_TIMESTAMP

UPDATE HistoryTable
   SET EndDate = @now
  FROM HistoryTable, DELETED
 WHERE HistoryTable.ColumnID = DELETED.ColumnID
   AND HistoryTable.EndDate IS NULL

INSERT INTO HistoryTable (ColumnID, Column2, ..., Columnn, StartDate, EndDate)
SELECT ColumnID, Column2, ..., Columnn, @NOW, NULL
  FROM INSERTED

DELIMITER $$

/* Trigger  for INSERT */
CREATE TRIGGER HistoryTableInsert AFTER INSERT ON OriginalTable FOR EACH ROW BEGIN
   DECLARE N DATETIME;
   SET N = now();
    
   INSERT INTO HistoryTable (Column1, Column2, ..., Columnn, StartDate, EndDate)
   VALUES (New.Column1, New.Column2, ..., New.Columnn, N, NULL);
END;

/* Trigger for DELETE */
CREATE TRIGGER HistoryTableDelete AFTER DELETE ON OriginalTable FOR EACH ROW BEGIN
   DECLARE N DATETIME;
   SET N = now();
    
   UPDATE HistoryTable
      SET EndDate = N
    WHERE Column1 = OLD.Column1
      AND EndDate IS NULL;
END;

/* Trigger for UPDATE */
CREATE TRIGGER HistoryTableUpdate AFTER UPDATE ON OriginalTable FOR EACH ROW BEGIN
   DECLARE N DATETIME;
   SET N = now();

   UPDATE HistoryTable
      SET EndDate = N
    WHERE Column1 = OLD.Column1
      AND EndDate IS NULL;

   INSERT INTO HistoryTable (Column1, Column2, ..., Columnn, StartDate, EndDate)
   VALUES (New.Column1, New.Column2, ..., New.Columnn, N, NULL);
END;

CREATE OR REPLACE TRIGGER TableTrigger
AFTER INSERT OR UPDATE OR DELETE ON OriginalTable
FOR EACH ROW
DECLARE Now TIMESTAMP;
BEGIN
   SELECT CURRENT_TIMESTAMP INTO Now FROM Dual;

   UPDATE HistoryTable
      SET EndDate = Now
    WHERE EndDate IS NULL
      AND Column1 = :OLD.Column1;

   IF :NEW.Column1 IS NOT NULL THEN
      INSERT INTO HistoryTable (Column1, Column2, ..., Columnn, StartDate, EndDate) 
      VALUES (:NEW.Column1, :NEW.Column2, ..., :NEW.Columnn, Now, NULL);
   END IF;
END;

Historic information

Typically, database backups are used to store and retrieve historic information. A database backup is a security mechanism, more than an effective way to retrieve ready-to-use historic information.

A (full) database backup is only a snapshot of the data in specific points of time, so we could know the information of each snapshot, but we can know nothing between them. Information in database backups is discrete in time.

Using the log trigger the information we can know is not discrete but continuous, we can know the exact state of the information in any point of time, only limited to the granularity of time provided with the DATETIME data type of the RDBMS used.

Advantages

• It is simple.
• It is not a commercial product, it works with available features in common RDBMS.
• It is automatic, once it is created, it works with no further human intervention.
• It is not required to have good knowledge about the tables of the database, or the data model.
• Changes in current programming are not required.
• Changes in the current tables are not required, because log data of any table is stored in a different one.
• It works for both programmed and ad hoc statements.
• Only changes (INSERT, UPDATE and DELETE operations) are registered, so the growing rate of the history tables are proportional to the changes.
• It is not necessary to apply the trigger to all the tables on database, it can be applied to certain tables, or certain columns of a table.

Disadvantages

• It does not automatically store information about the user producing the changes (information system user, not database user). This information might be provided explicitly. It could be enforced in information systems, but not in ad hoc queries.

Examples of use

SELECT Column1, Column2, ..., Columnn
  FROM HistoryTable
 WHERE EndDate IS NULL

SELECT  Column1, Column2, ..., Columnn
  FROM  HistoryTable
 WHERE  @Date >= StartDate
   AND (@Date < EndDate OR EndDate IS NULL)

SELECT  Column1, Column2, ..., Columnn
  FROM  HistoryTable
 WHERE  Column1 = @Key
   AND  @Date >= StartDate
   AND (@Date <  EndDate OR EndDate IS NULL)

SELECT Column1, Column2, ..., Columnn, StartDate, EndDate
  FROM HistoryTable
 WHERE Column1 = @Key
 ORDER BY StartDate

SELECT H2.Column1, H2.Column2, ..., H2.Columnn, H2.StartDate
  FROM HistoryTable AS H2 LEFT OUTER JOIN HistoryTable AS H1
    ON H2.Column1 = H1.Column1
   AND H2.Column1 = @Key
   AND H2.StartDate = H1.EndDate
 WHERE H2.EndDate IS NULL

Immutability of primary keys

Since the trigger requires that primary key being the same throughout time, it is desirable to either ensure or maximize its immutability, if a primary key changed its value, the entity it represents would break its own history.

There are several options to achieve or maximize the primary key immutability:

• Use of a surrogate key as a primary key. Since there is no reason to change a value with no meaning other than identity and uniqueness, it would never change.
• Use of an immutable natural key as a primary key. In a good database design, a natural key which can change should not be considered as a "real" primary key.
• Use of a mutable natural key as a primary key (it is widely discouraged) where changes are propagated in every place where it is a foreign key. In such a case, the history table should be also affected.

Alternatives

Sometimes the Slowly changing dimension is used as a method, this diagram is an example:

Scd model

See also

• Relational database
• Primary key
• Natural key
• Surrogate key
• Change data capture
• Slowly changing dimension
• Tuple versioning

Notes

The Log trigger was written by Laurence R. Ugalde^[3] to automatically generate history of transactional databases.

External links

Log trigger on GitHub

References