Assuming you're joining on columns with no duplicates, which is a very common case:
An inner join of A and B gives the result of A intersect B, i.e. the inner part of a Venn diagram intersection.
An outer join of A and B gives the results of A union B, i.e. the outer parts of a Venn diagram union.
Examples
Suppose you have two tables, with a single column each, and data as follows:
A B
- -
1 3
2 4
3 5
4 6
Note that (1,2) are unique to A, (3,4) are common, and (5,6) are unique to B.
Inner join
An inner join using either of the equivalent queries gives the intersection of the two tables, i.e. the two rows they have in common.
select * from a INNER JOIN b on a.a = b.b;
select a.*, b.* from a,b where a.a = b.b;
a | b
--+--
3 | 3
4 | 4
Left outer join
A left outer join will give all rows in A, plus any common rows in B.
select * from a LEFT OUTER JOIN b on a.a = b.b;
select a.*, b.* from a,b where a.a = b.b(+);
a | b
--+-----
1 | null
2 | null
3 | 3
4 | 4
Right outer join
A right outer join will give all rows in B, plus any common rows in A.
select * from a RIGHT OUTER JOIN b on a.a = b.b;
select a.*, b.* from a,b where a.a(+) = b.b;
a | b
-----+----
3 | 3
4 | 4
null | 5
null | 6
Full outer join
A full outer join will give you the union of A and B, i.e. all the rows in A and all the rows in B. If something in A doesn't have a corresponding datum in B, then the B portion is null, and vice versa.
select * from a FULL OUTER JOIN b on a.a = b.b;
a | b
-----+-----
1 | null
2 | null
3 | 3
4 | 4
null | 6
null | 5
The correct way to avoid SQL injection attacks, no matter which database you use, is to separate the data from SQL, so that data stays data and will never be interpreted as commands by the SQL parser. It is possible to create SQL statement with correctly formatted data parts, but if you don't fully understand the details, you should always use prepared statements and parameterized queries. These are SQL statements that are sent to and parsed by the database server separately from any parameters. This way it is impossible for an attacker to inject malicious SQL.
You basically have two options to achieve this:
Using PDO (for any supported database driver):
$stmt = $pdo->prepare('SELECT * FROM employees WHERE name = :name');
$stmt->execute([ 'name' => $name ]);
foreach ($stmt as $row) {
// Do something with $row
}
Using MySQLi (for MySQL):
$stmt = $dbConnection->prepare('SELECT * FROM employees WHERE name = ?');
$stmt->bind_param('s', $name); // 's' specifies the variable type => 'string'
$stmt->execute();
$result = $stmt->get_result();
while ($row = $result->fetch_assoc()) {
// Do something with $row
}
If you're connecting to a database other than MySQL, there is a driver-specific second option that you can refer to (for example, pg_prepare()
and pg_execute()
for PostgreSQL). PDO is the universal option.
Correctly setting up the connection
Note that when using PDO to access a MySQL database real prepared statements are not used by default. To fix this you have to disable the emulation of prepared statements. An example of creating a connection using PDO is:
$dbConnection = new PDO('mysql:dbname=dbtest;host=127.0.0.1;charset=utf8', 'user', 'password');
$dbConnection->setAttribute(PDO::ATTR_EMULATE_PREPARES, false);
$dbConnection->setAttribute(PDO::ATTR_ERRMODE, PDO::ERRMODE_EXCEPTION);
In the above example the error mode isn't strictly necessary, but it is advised to add it. This way the script will not stop with a Fatal Error
when something goes wrong. And it gives the developer the chance to catch
any error(s) which are throw
n as PDOException
s.
What is mandatory, however, is the first setAttribute()
line, which tells PDO to disable emulated prepared statements and use real prepared statements. This makes sure the statement and the values aren't parsed by PHP before sending it to the MySQL server (giving a possible attacker no chance to inject malicious SQL).
Although you can set the charset
in the options of the constructor, it's important to note that 'older' versions of PHP (before 5.3.6) silently ignored the charset parameter in the DSN.
Explanation
The SQL statement you pass to prepare
is parsed and compiled by the database server. By specifying parameters (either a ?
or a named parameter like :name
in the example above) you tell the database engine where you want to filter on. Then when you call execute
, the prepared statement is combined with the parameter values you specify.
The important thing here is that the parameter values are combined with the compiled statement, not an SQL string. SQL injection works by tricking the script into including malicious strings when it creates SQL to send to the database. So by sending the actual SQL separately from the parameters, you limit the risk of ending up with something you didn't intend.
Any parameters you send when using a prepared statement will just be treated as strings (although the database engine may do some optimization so parameters may end up as numbers too, of course). In the example above, if the $name
variable contains 'Sarah'; DELETE FROM employees
the result would simply be a search for the string "'Sarah'; DELETE FROM employees"
, and you will not end up with an empty table.
Another benefit of using prepared statements is that if you execute the same statement many times in the same session it will only be parsed and compiled once, giving you some speed gains.
Oh, and since you asked about how to do it for an insert, here's an example (using PDO):
$preparedStatement = $db->prepare('INSERT INTO table (column) VALUES (:column)');
$preparedStatement->execute([ 'column' => $unsafeValue ]);
Can prepared statements be used for dynamic queries?
While you can still use prepared statements for the query parameters, the structure of the dynamic query itself cannot be parametrized and certain query features cannot be parametrized.
For these specific scenarios, the best thing to do is use a whitelist filter that restricts the possible values.
// Value whitelist
// $dir can only be 'DESC', otherwise it will be 'ASC'
if (empty($dir) || $dir !== 'DESC') {
$dir = 'ASC';
}
Best Answer
Our production environment includes the following:
Our development environment is a single server running both database and httpd, configuration-wise we have different workspaces for everyone setup and our VC is subversion. Staging is rather simple too - it runs on one of the frontends.
Database changes
Initially we spent a lot of time on the database design and it seems to have really paid off. We haven't changed anything major in five months now. Most of the changes we deploy are on the frontend. Now, so far we run all the changes to the database manually and I always wrote a small script to revert.
If I had more of those, I'd use Doctrine and Migrations here. I've never actually had the chance to use them in production but I've played with those extensively already and they seem very powerful.
Deployment
So whenever we deploy a new version we create a tag of the code which we check out on staging, then go through a couple lists of checks etc. and then we deploy the code on the production frontends. For doing all of the deployment, I have a couple tasks setup in Capistrano.
Check out this sample
capfile
:Capistrano also allows you to run any other command without defining a task:
(Requires the role "web" to be setup. See example above.)
Coding style and documentation
We pretty much adhere to the PEAR Coding standard, which we check using PHP_CodeSniffer (phpcs). When I say pretty much, I mean that I forked the sniffs provided and added a few exceptions of my own gusto.
On top of coding style, phpcs checks on inline documentation as well. This documentation is created by phpDocumentor in the end.
CI
I have both of those tools setup in our CI-server (continuos-integration), which is phpUnderControl using the above and CruiseControl, phpUnit, Xdebug (a couple code metrics...), etc..
unit-testing is something we currently lack. But what we do right now is that with each bug we find in our parsing engine (we parse text into certain formats), we write a test to make sure it doesn't come back. I've also written some basic tests to check the URL-routing and the internal XMLRPC API but this is really subject to improvement. We employ both phpUnit-style tests and phpt as well.
The CI-server builds a new version a couple times per day, generates graphs, docs and all kinds of reports.
On top of all of the tools mentioned, we also use Google Apps (primarily for email) and keep a Google Sites wiki with all other documentation. For example, deployment procedure, QA test lists, etc..