Sdodasrel/examples-Phpdoc专题

范例

目录

• Creating, retrieving, updating and deleting data
• Specifying the metadata
• One-table examples
• Two-table examples
• Three-table example

Creating, retrieving, updating and deleting data

This section illustrates how the Relational DAS can be used to create, retrieve, update and delete data in a relational database. Many of the examples are illustrated with a three-table database that contains companies, departments within those companies, and employees that work in those departments. This example is used in a number of places within the SDO literature. See the examples section of the » Service Data Objects specification or the Examples section of the documentation for the SDO extension.

The Relational DAS is constructed with metadata that defines the relational database and how it should be mapped to SDO. The long section that follows describes this metadata and how to construct the Relational DAS. The examples that follow it all assume that this metadata is in an included php file.

The examples below and others can all be found in the Scenarios directory in the Relational DAS package.

The Relational DAS throws exceptions in the event that it finds errors in the metadata or errors when executing SQL statements against the database. For brevity the examples below all omit the use of try/catch blocks around the calls to the Relational DAS.

These examples all differ from the expected use of SDO in two important respects.

First, they show all interactions with the database completed within one script. In this respect these scenarios are not realistic but are chosen to illustrate just the use of the Relational DAS. It is expected that interactions with the database will be separated in time and the data graph serialized and deserialized into the PHP session one or more times as the application interacts with an end user.

Second, all queries executed against the database use hard-coded queries with no variables substituted. In this case it is safe to use the simple executeQuery call, and this is what the examples illustrate. In practice, though, it is unlikely that the SQL statement is known entirely ahead of time. In order to allow variables to be safely substituted into the SQL queries, without running the risk of injecting SQL with unknown effects, it is safer to use the <span class="function">executePreparedQuery which takes a prepared SQL statement containing placeholders and a list of values to be substituted.

Specifying the metadata

This first long section describes in detail how the metadata describing the database and the required SDO model is supplied to the Relational DAS.

When the constructor for the Relational DAS is invoked, it needs to be passed several pieces of information. The bulk of the information, passed as an associative array in the first argument to the constructor, tells the Relational DAS what it needs to know about the relational database. It describes the names of the tables, columns, primary keys and foreign keys. It should be fairly easy to understand what is required, and once written it can be placed in a php file and included when needed. The remainder of the information, passed in the second and third arguments to the constructor, tells the Relational DAS what it needs to know about the relationships between objects and the shape of the data graph; it ultimately determines how the data from the database is to be normalized into a graph.

Database metadata

The first argument to the constructor describes the target relational database.

Each table is described by an associative array with up to four keys.

<?php
/*****************************************************************
* METADATA DEFINING THE DATABASE
******************************************************************/
$company_table = array (
  'name' => 'company',
  'columns' => array('id', 'name',  'employee_of_the_month'),
  'PK' => 'id',
  'FK' => array (
      'from' => 'employee_of_the_month',
      'to' => 'employee',
      ),
  );
$department_table = array (
  'name' => 'department', 
  'columns' => array('id', 'name', 'location', 'number', 'co_id'),
  'PK' => 'id',
  'FK' => array (
      'from' => 'co_id',
      'to' => 'company',
      )
  );
$employee_table = array (
  'name' => 'employee',
  'columns' => array('id', 'name', 'SN', 'manager', 'dept_id'),
  'PK' => 'id',
  'FK' => array (
      'from' => 'dept_id',
      'to' => 'department',
      )
  );
$database_metadata = array($company_table, $department_table, $employee_table);
?>

This metadata corresponds to a relational database that might have been defined to MySQL as:

create table company (
 id integer auto_increment,
 name char(20),
 employee_of_the_month integer,
 primary key(id)
);
create table department (
 id integer auto_increment,
 name char(20),
 location char(10),
 number integer(3),
 co_id integer,
 primary key(id)
);
create table employee (
 id integer auto_increment,
 name char(20),
 SN char(4),
 manager tinyint(1),
 dept_id integer,
 primary key(id)
);

or to DB2 as:

create table company ( \
  id integer not null generated by default as identity,  \
  name varchar(20), \
  employee_of_the_month integer, \
  primary key(id) )
create table department ( \
  id integer not null generated by default as identity, \
  name varchar(20), \
  location varchar(10), \
  number integer, \
  co_id integer, \
  primary key(id) )
create table employee ( \
  id integer not null generated by default as identity, \
  name varchar(20), \
  SN char(4), \
  manager smallint, \
  dept_id integer, \
  primary key(id) )

Note that although in this example there are no foreign keys specified to the database and so the database is not expected to enforce referential integrity, the intention behind the co_id column on the department table and the dept_id column on the employee table is they should contain the primary key of their containing company or department record, respectively. So these two columns are acting as foreign keys.

There is a third foreign key in this example, that from the employee_of_the_month column of the company record to a single row of the employee table. Note the difference in intent between this foreign key and the other two. The employee_of_the_month column represents a single-valued relationship: there can be only one employee of the month for a given company. The co_id and dept_id columns represent multi-valued relationships: a company can contain many departments and a department can contain many employees. This distinction will become evident when the remainder of the metadata picks out the company-department and department-employee relationships as containment relationships.

There are a few simple rules to be followed when constructing the database metadata:

• All tables must have primary keys, and the primary keys must be specified in the metadata. Without primary keys it is not possible to keep track of object identities. As you can see from the SQL statements that create the tables, primary keys can be auto-generated, that is, generated and assigned by the database when a record is inserted. In this case the auto-generated primary key is obtained from the database and inserted into the data object immediately after the row is inserted into the database.

• It is not necessary to specify in the metadata all the columns that exist in the database, only those that will be used. For example, if the company table had another column that the application did not want to access with SDO, this need not be specified in the metadata. On the other hand it would have done no harm to specify it: if specified in the metadata but never retrieved, or assigned to by the application, then the unused column will not affect anything.

• In the database metadata note that the foreign key definitions identify not the destination column in the table which is pointed to, but the table name itself. Strictly, the relational model permits the destination of a foreign key to be a non-primary key. Only foreign keys that point to a primary key are useful for constructing the SDO model, so the metadata specifies the table name. It is understood that the foreign key points to the primary key of the given table.

Given these rules, and given the SQL statements that define the database, the database metadata should be easy to construct.

What the Relational DAS does with the metadata

The Relational DAS uses the database metadata to form most of the SDO model. For each table in the database metadata, an SDO type is defined. Each column which can represent a primitive value (columns which are not defined as foreign keys) are added as properties to the SDO type.

All primitive properties are given a type of string in the SDO model, regardless of their SQL type. When writing values back to the database the Relational DAS will create SQL statements that treat the values as strings, and the database will convert them to the appropriate type.

Foreign keys are interpreted in one of two ways, depending on the metadata in the third argument to the constructor that defines the SDO containment relationships. A discussion of this is therefore deferred until the section on SDO containment relationships below.

Specifying the application root type

The second argument to the constructor is the application root type. The true root of each data graph is an object of a special root type and all application data objects come somewhere below that. Of the various application types in the SDO model, one has to be the application type immediately below the root of the data graph. If there is only one table in the database metadata, the application root type can be inferred, and this argument can be omitted.

Specifying the SDO containment relationships

The third argument to the constructor defines how the types in the model are to be linked together to form a graph. It identifies the parent-child relationships between the types which collectively form a graph. The relationships need to be supported by foreign keys to be found in the data, in a way shortly to be described.

The metadata is an array containing one or more associative arrays, each of which identifies a parent and a child. The example below shows a parent-child relationship from company to department, and another from department to employee. Each of these will become an SDO property defining a multi-valued containment relationship in the SDO model.

<?php
$department_containment = array( 'parent' => 'company', 'child' => 'department');
$employee_containment = array( 'parent' => 'department', 'child' => 'employee');

$SDO_containment_metadata = array($department_containment, $employee_containment);           
?>

Foreign keys in the database metadata are interpreted as properties with either multi-valued containment relationships or single-valued non-containment references, depending on whether they have a corresponding SDO containment relationship specified in the metadata. In the example here, the foreign keys from department to company (the co_id column in the department table) and from employee to department (the dept_id column in the employee table) are interpreted as supporting the SDO containment relationships. Each containment relationship mentioned in the SDO containment relationships metadata must have a corresponding foreign key present in the database and defined in the database metadata. The values of the foreign key columns for containment relationships do not appear in the data objects, instead each is represented by a containment relationship from the parent to the child. So the co_id column in the department row in the database, for example, does not appear as a property on the department type, but instead as a containment relationship called department on the company type. Note that the foreign key and the parent-child relationship appear to have opposite senses: the foreign key points from the department to the company, but the parent-child relationship points from company to department.

The third foreign key in this example, the employee_of_the_month , is handled differently. This is not mentioned in the SDO containment relationships metadata. As a consequence this is interpreted in the second way: it becomes a single-valued non-containment reference on the company object, to which can be assigned references to SDO data objects of the employee type. It does appear as a property on the company type. The way to assign a value to it in the SDO data graph is to have a graph that contains an employee object through the containment relationships, and to assign the object to it. This is illustrated in the later examples below.

One-table examples

The following set of examples all use the Relational DAS to work with a data graph containing just one application data object, a single company and the data just to be found the company table. These examples do not exercise the power of SDO or the Relational DAS and of course the same result could be achieved more economically with direct SQL statements but they are intended to illustrate how to work with the Relational DAS.

For this very simple scenario it would be possible to simplify the database metadata to include just the company table - if that were done the second and third arguments to the constructor and the column specifier used in the query example would become optional.

示例 #1 Creating a data object

The simplest example is that of creating a single data object and writing it to the database. In this example a single company object is created, its name is set to 'Acme', and the Relational DAS is called to write the changes to the database. The company name is set here using the property name method. See the Examples section on the SDO extension for other ways of accessing the properties of an object.

Data objects can only be created when you have a data object to start with, however. It is for that reason that the first call to the Relational DAS here is to obtain a root object. This is in effect how to ask for an empty data graph - the special root object is the true root of the tree. The company data object is then created with a call to createDataObject on the root object. This creates the company data object and inserts it in the graph by inserting into a multi-valued containment property on the root object called 'company'.

When the Relational DAS is called to apply the changes a simple insert statement 'INSERT INTO company (name) VALUES ("Acme");' will be constructed and executed. The auto-generated primary key will be set into the data object and the change summary will be reset, so that it would be possible to continue working with the same data object, modify it, and apply the newer changes a second time.

<?php
require_once 'SDO/DAS/Relational.php';
require_once 'company_metadata.inc.php';

/**************************************************************
* Construct the DAS with the metadata
***************************************************************/
$das = new SDO_DAS_Relational ($database_metadata,'company',$SDO_containment_metadata);

/**************************************************************
* Obtain a root object and create a company object underneath.
* Make a simple change to the data object. 
***************************************************************/
$root = $das  -> createRootDataObject();
$acme = $root -> createDataObject('company');

$acme->name = "Acme";

/**************************************************************
* Get a database connection and write the object to the database
***************************************************************/
$dbh = new PDO(PDO_DSN,DATABASE_USER,DATABASE_PASSWORD);
$das -> applyChanges($dbh, $root);
?>

示例 #2 Retrieving a data object

In this example a single data object is retrieved from the database - or possibly more than one if there is more than one company called 'Acme'. For each company returned, the name and id properties are echoed.

In this example the third argument to <span class="function">executeQuery, the column specifier is needed as there are other tables in the metadata with column names of name and id. If there were no possible ambiguity it could be omitted.

<?php
require_once 'SDO/DAS/Relational.php';
require_once 'company_metadata.inc.php';

/**************************************************************
* Construct the DAS with the metadata
***************************************************************/
$das = new SDO_DAS_Relational ($database_metadata,'company',$SDO_containment_metadata);

/**************************************************************
* Get a database connection
***************************************************************/
$dbh = new PDO(PDO_DSN,DATABASE_USER,DATABASE_PASSWORD);

/**************************************************************
* Issue a query to obtain a company object - possibly more if they exist
***************************************************************/
$root = $das->executeQuery($dbh,
         'select name, id from company where name="Acme"',
          array('company.name', 'company.id') );

/**************************************************************
* Echo name and id 
***************************************************************/
foreach ($root['company'] as $company) {
  echo "Company obtained from the database has name = " . 
  $company['name'] . " and id " . $company['id'] . "\n";
}
?>

示例 #3 Updating a data object

This example combines the previous two, in the sense that in order to be updated the object must first be retrieved. The application code reverses the company name (so 'Acme' becomes 'emcA') and then the changes are written back to the database in the same way that they were when the object was created. Because the query searches for the name both ways round the program can be run repeatedly to find the company and reverse its name each time.

In this example the same instance of the Relational DAS is reused for the applyChanges, as is the PDO database handle. This is quite alright; it also alright to allow the previous instances to be garbage collected and to obtain new instances. No state data regarding the graph is held the Relational DAS once it has returned a data graph to the application. All necessary data is either within the graph itself, or can be reconstructed from the metadata.

<?php
require_once 'SDO/DAS/Relational.php';
require_once 'company_metadata.inc.php';

/**************************************************************
* Construct the DAS with the metadata
***************************************************************/
$das = new SDO_DAS_Relational ($database_metadata,'company',$SDO_containment_metadata);

/**************************************************************
* Get a database connection
***************************************************************/
$dbh = new PDO(PDO_DSN,DATABASE_USER,DATABASE_PASSWORD);

/**************************************************************
* Issue a query to obtain a company object - possibly more if they exist
***************************************************************/
$root = $das->executeQuery($dbh,
  'select name, id from company where name="Acme" or name="emcA"',
  array('company.name', 'company.id') );

/**************************************************************
* Alter the name of just the first company
***************************************************************/
$company = $root['company'][0];
echo "obtained a company with name of " . $company->name . "\n";
$company->name = strrev($company->name);

/**************************************************************
* Write the change back
***************************************************************/
$das->applyChanges($dbh,$root);
?>

示例 #4 Deleting a data object

Any companies called 'Acme' or its reverse 'emcA' are retrieved. They are then all deleted from the graph with unset.

In this example they are all deleted in one go by unsetting the containing property (the property defining the containment relationship). It is also possible to delete them individually.

<?php
require_once 'SDO/DAS/Relational.php';
require_once 'company_metadata.inc.php';

/**************************************************************
* Construct the DAS with the metadata
***************************************************************/
$das = new SDO_DAS_Relational ($database_metadata,'company',$SDO_containment_metadata);

/**************************************************************
* Get a database connection
***************************************************************/
$dbh = new PDO(PDO_DSN,DATABASE_USER,DATABASE_PASSWORD);

/**************************************************************
* Issue a query to obtain a company object - possibly more if they exist
***************************************************************/
$root = $das->executeQuery($dbh,
  'select name, id from company where name="Acme" or name="emcA"',
  array('company.name', 'company.id') );

/**************************************************************
* Delete any companies found from the data graph
***************************************************************/
unset($root['company']);

/**************************************************************
* Write the change(s) back
***************************************************************/
$das->applyChanges($dbh,$root);
?>

Two-table examples

The following set of examples all use two tables from the company database: the company and department tables. These examples exercise more of the function of the Relational DAS.

In this series of examples a company and department are created, retrieved, updated, and finally deleted. This illustrates the lifecycle for a data graph containing more than one object. Note that this example clears out the company and department tables at the start so that the exact results of the queries can be known.

You can find these examples combined into one script called 1cd-CRUD in the Scenarios directory in the Relational DAS package.

示例 #1 One company, one department - Create

As in the earlier example of creating just one company data object, the first action after constructing the Relational DAS is to call <span class="function">createRootDataObject to obtain the special root object of the otherwise empty data graph. The company object is then created as a child of the root object, and the department object as a child of the company object.

When it comes to applying the changes, the Relational DAS has to perform special processing to maintain the foreign keys that support the containment relationships, especially if auto-generated primary keys are involved. In this example, the relationship between the auto-generated primary key id in the company table and the co_id column in the department table must be maintained. When inserting a company and department for the first time the Relational DAS has to first insert the company row, then call PDO's <span class="function">getLastInsertId method to obtain the auto-generated primary key, then add that as the value of the co_id column when inserting the department row.

<?php
require_once 'SDO/DAS/Relational.php';
require_once 'company_metadata.inc.php';

/*************************************************************************************
* Empty out the two tables
*************************************************************************************/
$dbh = new PDO(PDO_DSN,DATABASE_USER,DATABASE_PASSWORD);
$pdo_stmt = $dbh->prepare('DELETE FROM COMPANY;');
$rows_affected = $pdo_stmt->execute();
$pdo_stmt = $dbh->prepare('DELETE FROM DEPARTMENT;');
$rows_affected = $pdo_stmt->execute();

/**************************************************************
* Create a company with name Acme and one department, the Shoe department
***************************************************************/
$dbh = new PDO(PDO_DSN,DATABASE_USER,DATABASE_PASSWORD);
$das = new SDO_DAS_Relational ($database_metadata,'company',$SDO_containment_metadata);

$root = $das -> createRootDataObject();

$acme = $root -> createDataObject('company');
$acme -> name = "Acme";

$shoe = $acme->createDataObject('department');
$shoe->name = 'Shoe';

$das -> applyChanges($dbh, $root);

?>

示例 #2 One company, one department - Retrieve and Update

In this case the SQL query passed to <span class="function">executeQuery performs an inner join to join the data from the company and department tables. Primary keys for both the company and department tables must be included in the query. The result set is re-normalised to form a normalised data graph. Note that a column specifier is passed as the third argument to the <span class="function">executeQuery call enabling the Relational DAS to know which column is which in the result set.

Note that the co_id column although used in the query is not needed in the result set. In order to understand what the Relational DAS is doing when it builds the data graph it may be helpful to visualise what the result set looks like. Although the data in the database is normalised, so that multiple department rows can point through their foreign key to one company row, the data in the result set is non-normalised: that is, if there is one company and multiple departments, the values for the company are repeated in each row. The Relational DAS has to reverse this process and turn the result set back into a normalised data graph, with just one company object.

In this example the Relational DAS will examine the result set and column specifier, find data for both the company and department tables, find primary keys for both, and interpret each row as containing data for a department and its parent company. If it has not seen data for that company before (it uses the primary key to check) it creates a company object and then a department object underneath it. If it has seen data for that company before and has already created the company object it just creates the department object underneath.

In this way the Relational DAS can retrieve and renormalise data for multiple companies and multiple departments underneath them.

<?php
require_once 'SDO/DAS/Relational.php';
require_once 'company_metadata.inc.php';

/**************************************************************
* Retrieve the company and Shoe department, then delete Shoe and add IT
***************************************************************/
$dbh = new PDO(PDO_DSN,DATABASE_USER,DATABASE_PASSWORD);
$das = new SDO_DAS_Relational ($database_metadata,'company',$SDO_containment_metadata);

$root = $das->executeQuery($dbh,
'select c.id, c.name, d.id, d.name from company c, department d where d.co_id = c.id',
array('company.id','company.name','department.id','department.name'));

$acme = $root['company'][0];            // get the first company - will be 'Acme'
$shoe = $acme['department'][0];         // get the first department underneath - will be 'Shoe'

unset($acme['department'][0]);

$it = $acme->createDataObject('department');
$it->name = 'IT';

$das -> applyChanges($dbh, $root);
?>

示例 #3 One company, two departments - Retrieve and Delete

In this example the company and department are retrieved and then deleted. It is not necessary to delete them individually (although that would be possible) - deleting the company object from the data graph also deletes any departments underneath it.

Note the way that the company object is actually deleted using the PHP unset call. The unset has to be performed on the containing property which in this case is the company property on the special root object. You must use:

<?php
unset($root['company'][0]);
?>

and not:

<?php
unset($acme); //WRONG
?>

Simply unsetting $acme would destroy the variable but leave the data in the data graph untouched.

<?php
require_once 'SDO/DAS/Relational.php';
require_once 'company_metadata.inc.php';

/**************************************************************
* Retrieve the company and IT department, then delete the whole company
***************************************************************/
$dbh = new PDO(PDO_DSN,DATABASE_USER,DATABASE_PASSWORD);
$das = new SDO_DAS_Relational ($database_metadata,'company',$SDO_containment_metadata);

$root = $das->executeQuery($dbh,
'select c.id, c.name, d.id, d.name from company c, department d where d.co_id = c.id',
array('company.id','company.name','department.id','department.name'));

$acme = $root['company'][0];
$it = $acme['department'][0];

unset($root['company'][0]);

$das -> applyChanges($dbh, $root);

?>

Three-table example

The following examples use all three tables from the company database: the company, department, and employee tables. These introduce the final piece of function not exercised by the examples above: the non-containment reference employee_of_the_month.

Like the examples above for company and department, this set of examples is intended to illustrate the full lifecycle of such a data graph.

示例 #1 One company, one department, one employee - Create

In this example a company is created containing one department and just one employee. Note that this example clears out all three tables at the start so that the exact results of the queries can be known.

Note how once the company, department and employee have been created, the employee_of_the_month property of the company can be made to point at the new employee. As this is a non-containment reference, this cannot be done until the employee object has been created within the graph. Non-containment references need to be managed carefully. For example if the employee were now deleted from under the department, it would not be correct to try to save the graph without first clearing or re-assigning the employee_of_the_month property. The closure rule for SDO data graphs requires that any object pointed at by a non-containment reference must also be reachable by containment relationships.

When it comes to inserting the graph into the database, the procedure is similar to the example of inserting the company and department, but employee_of_the_month introduces an extra complexity. The Relational DAS needs to insert the objects working down the tree formed by containment relationships, so company, then department, then employee. This is necessary so that it always has the auto-generated primary key of a parent on hand to include in a child row. But when the company row is inserted the employee who is employee of the month has not yet been inserted and the primary key is not known. The procedure is that after the employee record is inserted and its primary key known, a final step is performed in which the company record is updated with the employee's primary key.

<?php
require_once 'SDO/DAS/Relational.php';
require_once 'company_metadata.inc.php';

/*************************************************************************************
* Empty out the three tables
*************************************************************************************/
$dbh = new PDO(PDO_DSN,DATABASE_USER,DATABASE_PASSWORD);
$pdo_stmt = $dbh->prepare('DELETE FROM COMPANY;');
$rows_affected = $pdo_stmt->execute();
$pdo_stmt = $dbh->prepare('DELETE FROM DEPARTMENT;');
$rows_affected = $pdo_stmt->execute();
$pdo_stmt = $dbh->prepare('DELETE FROM EMPLOYEE;');
$rows_affected = $pdo_stmt->execute();

/*************************************************************************************
* Create a tiny but complete company.
* The company name is Acme.
* There is one department, Shoe.
* There is one employee, Sue.
* The employee of the month is Sue.
*************************************************************************************/
$das = new SDO_DAS_Relational ($database_metadata,'company',$SDO_containment_metadata);
$dbh = new PDO(PDO_DSN,DATABASE_USER,DATABASE_PASSWORD);

$root             = $das  -> createRootDataObject();
$acme             = $root -> createDataObject('company');
$acme -> name     = "Acme";
$shoe             = $acme -> createDataObject('department');
$shoe -> name     = 'Shoe';
$shoe -> location = 'A-block';
$sue              = $shoe -> createDataObject('employee');
$sue -> name      = 'Sue';
$acme -> employee_of_the_month = $sue;

$das -> applyChanges($dbh, $root);

echo "Wrote back Acme with one department and one employee\n";
?>

示例 #2 One company, one department, one employee - Retrieve and update

The SQL statement passed to the Relational DAS is this time an inner join that retrieves data from all three tables. Otherwise this example introduces nothing that has not appeared in a previous example.

The graph is updated by the addition of a new department and employee and some alterations to the name properties of the existing objects in the graph. The combined changes are then written back. The Relational DAS will process and apply an arbitrary mixture of additions, modifications and deletions to and from the data graph.

<?php
require_once 'SDO/DAS/Relational.php';
require_once 'company_metadata.inc.php';

/*************************************************************************************
* Find the company again and change various aspects.
* Change the name of the company, department and employee.
* Add a second department and a new employee.
* Change the employee of the month.
*************************************************************************************/
$das = new SDO_DAS_Relational ($database_metadata,'company',$SDO_containment_metadata);
$dbh = new PDO(PDO_DSN,DATABASE_USER,DATABASE_PASSWORD);

$root = $das->executeQuery($dbh,
  "select c.id, c.name, c.employee_of_the_month, d.id, d.name, e.id, e.name " .
  "from company c, department d, employee e " .
  "where e.dept_id = d.id and d.co_id = c.id and c.name='Acme'",
   array('company.id','company.name','company.employee_of_the_month',
   'department.id','department.name','employee.id','employee.name'));
$acme         = $root['company'][0];

$shoe         = $acme->department[0];
$sue          = $shoe -> employee[0];

$it           = $acme->createDataObject('department');
$it->name     = 'IT';
$it->location = 'G-block';
$billy        = $it->createDataObject('employee');
$billy->name  = 'Billy';

$acme->name   = 'MegaCorp';
$shoe->name   = 'Footwear';
$sue->name    = 'Susan';

$acme->employee_of_the_month = $billy;
$das -> applyChanges($dbh, $root);
echo "Wrote back company with extra department and employee and all the names changed (Megacorp/Footwear/Susan)\n";

?>

示例 #3 One company, two departments, two employees - Retrieve and delete

The company is retrieved as a complete data graph containing five data objects - the company, two departments and two employees. They are all deleted by deleting the company object. Deleting an object from the graph deletes all the object beneath it in the graph. Five SQL DELETE statements will be generated and executed. As always they will be qualified with a WHERE clause that contains all of the fields that were retrieved, so that any updates to the data in the database in the meantime by another process will be detected.

<?php
require_once 'SDO/DAS/Relational.php';
require_once 'company_metadata.inc.php';

/*************************************************************************************
* Now read it one more time and delete it.
* You can delete part, apply the changes, then carry on working with the same graph but
* care is needed to keep closure - you cannot delete the employee who is eotm without
* reassigning. For safety here we delete the company all in one go. 
*************************************************************************************/
$das = new SDO_DAS_Relational ($database_metadata,'company',$SDO_containment_metadata);
$dbh = new PDO(PDO_DSN,DATABASE_USER,DATABASE_PASSWORD);

$root = $das->executeQuery($dbh,
  "select c.id, c.name, c.employee_of_the_month, d.id, d.name, e.id, e.name " .
  "from company c, department d, employee e " .
  "where e.dept_id = d.id and d.co_id = c.id and c.name='MegaCorp';",
   array('company.id','company.name','company.employee_of_the_month',
   'department.id','department.name','employee.id','employee.name'));
$megacorp = $root['company'][0];

unset($root['company']);
$das -> applyChanges($dbh, $root);

echo "Deleted the company, departments and employees all in one go.\n";

?>