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IBM DB2 Funktionen

<<db2_escape_string

db2_execute>>

db2_exec

(PECL ibm_db2 >= 1.0.0)

db2_exec Executes an SQL statement directly

Beschreibung

resource db2_exec ( resource $connection , string $statement [, array $options ] )

Executes an SQL statement directly.

If you plan to interpolate PHP variables into the SQL statement, understand that this is one of the more common security exposures. Consider calling db2_prepare() to prepare an SQL statement with parameter markers for input values. Then you can call db2_execute() to pass in the input values and avoid SQL injection attacks.

If you plan to repeatedly issue the same SQL statement with different parameters, consider calling db2_prepare() and db2_execute() to enable the database server to reuse its access plan and increase the efficiency of your database access.

Parameter-Liste

connection

A valid database connection resource variable as returned from db2_connect() or db2_pconnect().

statement

An SQL statement. The statement cannot contain any parameter markers.

options

An associative array containing statement options. You can use this parameter to request a scrollable cursor on database servers that support this functionality.

For a description of valid statement options, see db2_set_option().

Rückgabewerte

Returns a statement resource if the SQL statement was issued successfully, or FALSE if the database failed to execute the SQL statement.

Beispiele

Beispiel #1 Creating a table with db2_exec()

The following example uses db2_exec() to issue a set of DDL statements in the process of creating a table.

<?php
$conn 
db2_connect($database$user$password);

// Create the test table
$create 'CREATE TABLE animals (id INTEGER, breed VARCHAR(32),
    name CHAR(16), weight DECIMAL(7,2))'
;
$result db2_exec($conn$create);
if (
$result) {
    print 
"Successfully created the table.\n";
}

// Populate the test table
$animals = array(
    array(
0'cat''Pook'3.2),
    array(
1'dog''Peaches'12.3),
    array(
2'horse''Smarty'350.0),
    array(
3'gold fish''Bubbles'0.1),
    array(
4'budgerigar''Gizmo'0.2),
    array(
5'goat''Rickety Ride'9.7),
    array(
6'llama''Sweater'150)
);

foreach (
$animals as $animal) {
    
$rc db2_exec($conn"INSERT INTO animals (id, breed, name, weight)
      VALUES (
{$animal[0]}, '{$animal[1]}', '{$animal[2]}', {$animal[3]})");
    if (
$rc) {
        print 
"Insert... ";
    }
}
?>

Das oben gezeigte Beispiel erzeugt folgende Ausgabe:

Successfully created the table.
Insert... Insert... Insert... Insert... Insert... Insert... Insert... 

Beispiel #2 Executing a SELECT statement with a scrollable cursor

The following example demonstrates how to request a scrollable cursor for an SQL statement issued by db2_exec().

<?php
$conn 
db2_connect($database$user$password);
$sql "SELECT name FROM animals
    WHERE weight < 10.0
    ORDER BY name"
;
if (
$conn) {
    require_once(
'prepare.inc');
    
$stmt db2_exec($conn$sql, array('cursor' => DB2_SCROLLABLE));
    while (
$row db2_fetch_array($stmt)) {
        print 
"$row[0]\n";
    }

?>

Das oben gezeigte Beispiel erzeugt folgende Ausgabe:

Bubbles
Gizmo
Pook
Rickety Ride

Beispiel #3 Returning XML data as an SQL ResultSet

The following example demonstrates how to work with documents stored in a XML column using the SAMPLE database. Using some pretty simple SQL/XML, this example returns some of the nodes in a XML document in an SQL ResultSet format that most users are familiar with.

<?php

$conn 
db2_connect("SAMPLE""db2inst1""ibmdb2");

$query 'SELECT * FROM XMLTABLE(
    XMLNAMESPACES (DEFAULT \'http://posample.org\'),
    \'db2-fn:xmlcolumn("CUSTOMER.INFO")/customerinfo\'
    COLUMNS
    "CID" VARCHAR (50) PATH \'@Cid\',
    "NAME" VARCHAR (50) PATH \'name\',
    "PHONE" VARCHAR (50) PATH \'phone [ @type = "work"]\'
    ) AS T
    WHERE NAME = \'Kathy Smith\'
    '
;
$stmt db2_exec($conn$query);

while(
$row db2_fetch_object($stmt)){
    
printf("$row->CID     $row->NAME     $row->PHONE\n");
}
db2_close($conn);

?>

Das oben gezeigte Beispiel erzeugt folgende Ausgabe:

1000     Kathy Smith     416-555-1358
1001     Kathy Smith     905-555-7258

Beispiel #4 Performing a "JOIN" with XML data

The following example works with documents stored in 2 different XML columns in the SAMPLE database. It creates 2 temporary tables from the XML documents from 2 different columns and returns an SQL ResultSet with information regarding shipping status for the customer.

<?php

$conn 
db2_connect("SAMPLE""db2inst1""ibmdb2");

$query '
    SELECT A.CID, A.NAME, A.PHONE, C.PONUM, C.STATUS
    FROM
    XMLTABLE(
    XMLNAMESPACES (DEFAULT \'http://posample.org\'),
    \'db2-fn:xmlcolumn("CUSTOMER.INFO")/customerinfo\'
    COLUMNS
    "CID" BIGINT PATH \'@Cid\',
    "NAME" VARCHAR (50) PATH \'name\',
    "PHONE" VARCHAR (50) PATH \'phone [ @type = "work"]\'
    ) as A,
    PURCHASEORDER AS B,
    XMLTABLE (
    XMLNAMESPACES (DEFAULT \'http://posample.org\'),
    \'db2-fn:xmlcolumn("PURCHASEORDER.PORDER")/PurchaseOrder\'
    COLUMNS
    "PONUM"  BIGINT PATH \'@PoNum\',
    "STATUS" VARCHAR (50) PATH \'@Status\'
    ) as C
    WHERE A.CID = B.CUSTID AND
    B.POID = C.PONUM AND
    A.NAME = \'Kathy Smith\'
'
;

$stmt db2_exec($conn$query);

while(
$row db2_fetch_object($stmt)){
    
printf("$row->CID     $row->NAME     $row->PHONE     $row->PONUM     $row->STATUS\n");
}

db2_close($conn);

?>

Das oben gezeigte Beispiel erzeugt folgende Ausgabe:

1001     Kathy Smith     905-555-7258     5002     Shipped

Beispiel #5 Returning SQL data as part of a larger XML document

The following example works with a portion of the PRODUCT.DESCRIPTION documents in the SAMPLE database. It creates a XML document containing product description (XML data) and pricing info (SQL data).

<?php

$conn 
db2_connect("SAMPLE""db2inst1""ibmdb2");

$query '
SELECT
XMLSERIALIZE(
XMLQUERY(\'
    declare boundary-space strip;
    declare default element namespace "http://posample.org";
    <promoList> {
    for $prod in $doc/product
    where $prod/description/price < 10.00
    order by $prod/description/price ascending
    return(
        <promoitem> {
        $prod,
        <startdate> {$start} </startdate>,
        <enddate> {$end} </enddate>,
        <promoprice> {$promo} </promoprice>
        } </promoitem>
    )
    } </promoList>
\' passing by ref DESCRIPTION AS "doc",
PROMOSTART as "start",
PROMOEND as "end",
PROMOPRICE as "promo"
RETURNING SEQUENCE)
AS CLOB (32000))
AS NEW_PRODUCT_INFO
FROM PRODUCT
WHERE PID = \'100-100-01\'
'
;

$stmt db2_exec($conn$query);

while(
$row db2_fetch_array($stmt)){
    
printf("$row[0]\n");
}
db2_close($conn);

?>

Das oben gezeigte Beispiel erzeugt folgende Ausgabe:

<promoList xmlns="http://posample.org">
    <promoitem>
    <product pid="100-100-01">
        <description>
            <name>Snow Shovel, Basic 22 inch</name>
            <details>Basic Snow Shovel, 22 inches wide, straight handle with D-Grip</details>
            <price>9.99</price>
            <weight>1 kg</weight>
        </description>
    </product>
    <startdate>2004-11-19</startdate>
    <enddate>2004-12-19</enddate>
    <promoprice>7.25</promoprice>
    </promoitem>
</promoList>

Siehe auch


2 BenutzerBeiträge:
- Beiträge aktualisieren...
duc
13.08.2006 3:38
if you have the error message : PHP Warning:  db2_exec() [<a href='function.db2-exec'>function.db2-exec</a>]: Statement Execute Failed in (....)
and cannot display the error message using db2_stmt_errormsg() , then check if your database connection handle is (still) valid
shawn at frozen-o dot com
19.05.2006 19:34
If you need to "emulate" offset/limit (as PEAR::DB puts it) for db2 queries, you will definitely need to add array('cursor' => DB2_SCROLLABLE) to your db2_exec() call. Otherwise, you will get nothing useful from db2_fetch_{whatever}() when you try to (see following hack for example):

<?php
$limit
= 10;
$offset = 20;

for (
$i = 0; $i < $limit && $row = db2_fetch_array($result, $offset + $i); $i++) {
   
// stuff goes here
}
?>

You can accomplish the same time of thing using sub-selects, "with" statements and other things new to me in the world of DB2, but the more dynamically generated the queries, the more difficult it gets to implement limit/offset behavior on the fly.



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