<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;
});
```