Log trigger

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.

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

Compatibility notes

Data warehousing

According with the slowly changing dimension management methodologies, The log trigger falls into the following:

Implementation in common RDBMS

IBM DB2[1] 

-- 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;

Microsoft SQL Server[2] 

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

MySQL 

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;

Oracle 

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

Disadvantages

Examples of use

Getting the current version of a table 

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

It should return the same resultset of the whole original table.

Getting the version of a table in a certain point of time

Suppose the @DATE variable contains the point or time of interest.

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

Getting the information of an entity in a certain point of time

Suppose the @DATE variable contains the point or time of interest, and the @KEY variable contains the primary key of the entity of interest.

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

Getting the history of an entity

Suppose the @KEY variable contains the primary key of the entity of interest.

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

Getting when and how an entity was created

Suppose the @KEY variable contains the primary key of the entity of interest.

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 H1.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:

See also

Notes

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

References

  1. ↑ "Database Fundamentals" by Nareej Sharma et al. (First Edition, Copyright IBM Corp. 2010)
  2. ↑ "Microsoft SQL Server 2008 - Database Development" by Thobias Thernström et al. (Microsoft Press, 2009)
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