<div class="intro">

<p>DataSchema supports a <code>parser</code> property that enforces type conversion on data as the schema is being applied. The <code>parser</code> property can point to one of the following types of parsing functions:</p>

<ul>

<li>A DataType subclass parse function, like <code>Y.DataType.Number.parse</code></li>

<li>A registered shortcut to a DataType subclass parse function, like <code>"number"</code></li>

<li>A custom function</li>

</ul>

</div>

<div class="example yui3-skin-sam">

{{>dataschema-parsing-source}}

</div>

<p>Use the <code>parser</code> property in your schema's <code>resultFields</code> definition to point to a parsing function. Parsing your data in this manner is essential if your numerical or date data comes over the wire as JSON, since all the values will be strings.</p>

```

YUI().use("datatype", "dataschema", function(Y) {

var data_in = {

"results":[

{"string":"aardvark", "number":"1", "date":"Jan 1, 2001"},

{"string":"bat", "number":"2", "date":"Feb 2, 2002"},

{"string":"camel", "number":"3", "date":"March 3, 2003"}

]

},

schema = {

resultListLocator: "results",

resultFields: [

// needs no parsing

"string",

// point parser to built-in function shortcut

{key:"number", parser: "number"},

// point parser to built-in function

{key:"date", parser: Y.DataType.Date.parse}]

},

data_out = Y.DataSchema.JSON.apply(schema, data_in).results;

});

```