SQL Repository Data Models in ATG
•
The ATG Dynamo SQL repository can be used to
connect ATG applications to a SQL database
•
The SQL repository is implemented through the
atg.adapter.gsa package. (GSA stands for "Generic SQL Adapter")
•
The main Dynamo component in the SQL repository
is an instance of the atg.adapter.gsa.GSARepository class, which implements the
interfaces atg.repository.MutableRepository and
atg.repository.content.ContentRepository and which extends the class atg.repository.RepositoryImpl
•
Whenever you need to create a new SQL repository
instance, you should instantiate the atg.adapter.gsa.GSARepository class
Repository setup steps
•
This template is an XML file that defines
repository item descriptors and their attributes, and describes the
relationship of your SQL repository to the SQL database. While the SQL repository can represent a variety
of data models, it cannot easily represent any arbitrary data model. Thus, it
is usually a good idea to design the SQL repository schema before you design
your SQL database schema.
Step2: Create a SQL Repository
Component
•
This component’s “definitionFiles” property
points to the repository definition file.
Step3: Set up Database Tables
•
Can add tables in the same table space as ATG
Platform tables or different
•
ATG provides a tool to create database tables
based on repositories:
startSQLRepository
–outputSQL
Data Types in Definition file of ATG, SQL data type and Java object mappings are shown in below table:
data-type Attribute Value
|
Java Object Type
|
Recommended SQL Data Type
|
string
|
String
|
VARCHAR
VARCHAR or CLOB (Oracle) |
big string
|
String
|
LONG VARCHAR or CLOB
|
date
|
java.util.Date
|
DATETIME (Sybase or MS)
DATE (DB2 or Oracle) |
timestamp
|
java.sql.Timestamp
|
DATETIME (Sybase or MS)
DATE (Oracle 8i) TIMESTAMP (DB2 or Oracle 9i) |
enumerated
|
String
|
INTEGER
|
boolean
|
Boolean
|
NUMERIC(1)
|
int
|
Integer
|
INTEGER
|
byte
|
Byte
|
INTEGER
|
binary
|
byte[]
|
LONG VARBINARY (Sybase or MS)
LONG RAW or BLOB (Oracle) BLOB (DB2) |
short
|
Short
|
INTEGER
SMALLINT (DB2) |
float
|
Float
|
FLOAT (DB2, Sybase or MS)
NUMBER (Oracle) |
double
|
Double
|
DOUBLE (DB2, Sybase or MS)
NUMBER (Oracle) |
long
|
Long
|
NUMERIC(19), BIGINT (DB2)
|
Table Types in ATG Repositories:
An item descriptor in an SQL
repository defines a repository item type. It specifies repository item properties and the database tables and columns that store the data of those properties.
Item descriptor can have different types of tables, they are:
1.
Primary
2.
Auxiliary
3.
Multi
Primary Table:
•
Each item descriptor must have one and only one
primary table.
•
The primary table is specified using the
type="primary" XML attribute in a <table> tag.
•
The primary table must define a column or
columns that store the repository ID.
•
This column is specified using the id-column-names
attribute.
<table
name="user" type="primary"
id-column-name="id">
properties...
</table>
•
Use “id-column-names” if the primary keys are
more than one.
Auxiliary Table:
•
To specify a relationship of one to one, we will use auxiliary tables. The Auxiliary table is specified using the
type="auxiliary" XML attribute in a <table> tag.
•
Example: Each user has a single address. For the
purposes of this example, the user information is stored in a separate table
from the user’s address information.
•
The columns in the id-column-names attribute of
auxiliary table must be listed in the same order as they are in the
id-column-names attribute of the primary table.
<item-descriptor name="user">
<table
name="dps_user" type="primary"
id-column-names="id">
<property name="login"
data-type="string"/>
</table>
<table
name="dps_address" type="auxiliary"
id-column-names="id">
<property name="address1"/>
<property name="city"/>
<property name="state"/>
<property name="zip"/>
</table>
</item-descriptor>
Multi Table:
•
To specify a relationship of many to one, many to many we will use
auxiliary tables.
•
The Multi table is specified using the
type="multi" XML attribute in a <table> tag.
•
The multi-column-name attribute ensures
that the ordering of the multi-values are maintained. The column specified by
the multi-column-name attribute is used for multi-valued properties of data
type array, map, and list and is not used for sets (which are unordered). For
map type properties, the values in the column specified by the
multi-column-name attribute must be a string. For list or array type
properties, these values should be an integer or numeric type, and must be
sequential.
•
As with auxiliary tables, the ordering of the ID column names is important. The
columns specified by this attribute must list table columns in the same order
as the id-column-names attribute of the primary table.
•
The <property> tag for a multi-valued
property sets the following attributes:
data-type is set to One of the following: array,set,map,list
For example:
<property ...
data-type="array" ..
component-data-type is set to A primitive data type such as int,
string, etc..
SQL repository
does not support references to binary types
For example:
<property
name="interests" column-name="interest"
data-type="array" component-data-type="string"/>
component-item-type is set to The item descriptor name of the
referenced repository items
For example:
<property name="..."
column-name="designers" data-type="array"
component-item-type="user"/>
By default, null values are not
allowed in multi-valued properties. You can specify to allow null values at two
levels:
•
Enable all multi-valued properties in a
repository to accept null values by setting the repository property allowNullValues
to true
•
Allow null values for an individual property by
setting its <property> tag attribute allowNullValues to true
In general, auxiliary and multi
tables should not have REFERENCES constraints that point to each other.
Instead, each of these tables can have a REFERENCES constraint that points to
the primary table for the repository item. This limitation exists because the
SQL repository processes insert and delete statements for auxiliary and multi
tables in the same order. As a result, if you specify REFERENCES constraints
between an auxiliary and a multi table or vice versa, a constraint error
results on the insert or the delete.
Best Practices
•Define
primary key of table as String or Long
•Avoid
using multiple primary keys to a table (Not more than 1)
•Incase
we need to have composite primary key which has more than 1 key, Add a new id
column as part of the primary key
•Identify
strong and week relationships and represent accordingly
•Normalize
the data model and introduce redundancy where ever is required
•Highly
normalized data model kills the performance
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