![]() If it doesn’t, you’ll end up with errors. One other thing to note: XML is case sensitive, so any script or SQL statement you write must reflect the original XML data. INSERT INTO test2 VALUES (NULL,NULL,'widgets',1234,NULL,12,' 00:00:00',4) Īs you can see, the flattened XML has been successfully converted into SQL INSERT statements, ready for importing to your SQL database. Products_Product_Order_id NUMERIC(32, 16) Products_Product_Order_order_date DATETIME, ![]() Products_Product_Order_customer_id NUMERIC(32, 16), Products_Product_name VARCHAR(7) CHARACTER SET utf8, Here’s the resulting SQL script after SQLizer works its magic: SQLizer flattens the above XML data into the following named columns: However, this needs flattening before you can convert it into SQL. If you need to convert XML to SQL your initial XML file will look something like this: SQLizer achieves this by converting each XML element containing data into a row and attributes into columns. How to convert XML to SQL yourselfīecause of the hierarchical nature of XML, any XML data must first be “flattened”. SQLizer makes converting XML files to SQL easy peasy but if you want to know how to do it yourself and build your own script, there are a few things to consider. Here’s a video showing the exact steps to convert XML to SQL in 30 seconds. Step 3: Type in a name for your database table Step 2: Choose the XML file you want to convert to SQL Here’s how to convert XML to SQL with SQLizer: Step 1: Select XML as your file type In order to convert XML to SQL then, SQLizer must work out how to flatten XML data into a tabular form. Unlike CSV files and database tables, XML files aren’t naturally organized into rows and columns: XML is hierarchical. To convert XML to SQL some wizardry is needed.
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