The SQL statement you pass to prepare is parsed and compiled by the database server. 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).Īlthough 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. What is mandatory, however, is the first setAttribute() line, which tells PDO to disable emulated prepared statements and use real prepared statements. And it gives the developer the chance to catch any error(s) which are thrown as PDOExceptions. This way the script will not stop with a Fatal Error when something goes wrong. In the above example the error mode isn't strictly necessary, but it is advised to add it. $dbConnection->setAttribute(PDO::ATTR_ERRMODE, PDO::ERRMODE_EXCEPTION) $dbConnection->setAttribute(PDO::ATTR_EMULATE_PREPARES, false) An example of creating a connection using PDO is: $dbConnection = new PDO('mysql:dbname=dbtest host=127.0.0.1 charset=utf8', 'user', 'password') To fix this you have to disable the emulation of prepared statements. Note that when using PDO to access a MySQL database real prepared statements are not used by default. 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). $stmt->bind_param('s', $name) // 's' specifies the variable type => 'string' Using MySQLi (for MySQL): $stmt = $dbConnection->prepare('SELECT * FROM employees WHERE name = ?') Using PDO (for any supported database driver): $stmt = $pdo->prepare('SELECT * FROM employees WHERE name = :name') You basically have two options to achieve this: This way it is impossible for an attacker to inject malicious SQL. These are SQL statements that are sent to and parsed by the database server separately from any parameters. 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. Not just a quick fix that works some of the time.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. Goal: implement direct query in QS so it works quickly and consistently. Why does the query keep timing out in Quicksight? How can I fix this? Is there a way to increase the timeout within Quicksight? Currently about 2 minutes - could we extend this to 5 or 10 minutes? Is there a way to optimize the performance of the Direct Query in Quicksight so that it completes consistently in 2 minutes? It is infeasible to have a SPICE dataset to compare each record in table with other records, and Quicksight calculated fields do not enable metrics to be computed at the desired granularity. ![]() If Direct Query could work consistently, we could implement a dashboard to take user input compute comparison. However, consistently times out in Quicksight during normal working hours. ![]() I am using amazonbi.Ĭurrently, the query runs locally in Datagrip in 30s-1m querying Redshift tables. ![]() I am trying to implement a Direct Query with parameters to report row comparison metrics in Quicksight.
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