diff -r 000000000000 -r 40c8f766c9b8 src/cm/media/js/lib/yui/yui3.0.0/examples/dataschema/dataschema_array.html --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/src/cm/media/js/lib/yui/yui3.0.0/examples/dataschema/dataschema_array.html Mon Nov 23 15:14:29 2009 +0100 @@ -0,0 +1,350 @@ + + + + + YUI Library Examples: DataSchema Utility: DataSchema.Array + + + + + + + + + + + + +
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+ + YUI 3.x Home - + +

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YUI Library Examples: DataSchema Utility: DataSchema.Array

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DataSchema Utility: DataSchema.Array

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+ DataSchema.Array normalizes arbitrary JavaScript array data against a given schema into an object with known properties. +
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+ View example in new window. +

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+

Array of objects

+
Data
+ 
+[
+    {make:"Chevrolet", model:"Bel Air", year:1957},
+    {make:"Dodge", model:"Dart", year:1964},
+    {make:"Ford", model:"Mustang", year:1968}
+]
+
+ +
Schema
+ 
+{
+    resultFields: [{key:"make"}, {key:"model"}, {key:"year"}]
+}
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+ +
Normalized data
+ +
+ +

Array of arrays

+
Data
+ 
+[
+    ["Chevrolet", "Bel Air", 1957],
+    ["Dodge", "Dart", 1964],
+    ["Ford", "Mustang", 1968]
+]
+
+ +
Schema
+ 
+{
+    resultFields: [{key:"make"}, {key:"model"}, {key:"year"}]
+}
+
+ +
Normalized data
+ +
+ +

Simple array of primitives

+
Data
+ 
+[
+    "1957 Chevrolet Bel Air", "1964 Dodge Dart", "1968 Ford Mustang"
+]
+
+ +
Schema
+ 
+{
+    resultFields: [{key:"make"}, {key:"model"}, {key:"year"}]
+}
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+ +
Normalized data
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In order to use DataSchema.Array, input data must be a JavaScript array. Within that array, you may have...

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...JavaScript objects

+ +
  1. YUI().use("dataschema-array", function(Y) {
  2.     var data_in = [
  3.             {make:"Chevrolet",model:"Bel Air",year:1957},
  4.             {make:"Dodge",model:"Dart",year:1964},
  5.             {make:"Ford",model:"Mustang",year:1968}
  6.         ],
  7.         schema = {
  8.             // Or simply: ["make", "model", "year"]
  9.             resultFields: [{key:"make"}, {key:"model"}, {key:"year"}]
  10.         },
  11.         data_out = Y.DataSchema.Array.apply(schema, data_in));
  12.  
  13.     alert(data_out);
  14. });
YUI().use("dataschema-array", function(Y) {
+    var data_in = [
+            {make:"Chevrolet",model:"Bel Air",year:1957},
+            {make:"Dodge",model:"Dart",year:1964},
+            {make:"Ford",model:"Mustang",year:1968}
+        ],
+        schema = {
+            // Or simply: ["make", "model", "year"]
+            resultFields: [{key:"make"}, {key:"model"}, {key:"year"}]
+        },
+        data_out = Y.DataSchema.Array.apply(schema, data_in));
+ 
+    alert(data_out);
+});
+

...JavaScript arrays

+ +
  1. YUI().use("dataschema-array", function(Y) {
  2.     var data_in = [
  3.             ["Chevrolet", "Bel Air", 1957],
  4.             ["Dodge", "Dart", 1964],
  5.             ["Ford", "Mustang", 1968]
  6.         ],
  7.         schema = {
  8.             // Or simply: ["make", "model", "year"]
  9.             resultFields: [{key:"make"}, {key:"model"}, {key:"year"}]
  10.         },
  11.         data_out = Y.DataSchema.Array.apply(schema, data_in));
  12.  
  13.     alert(data_out);
  14. });
YUI().use("dataschema-array", function(Y) {
+    var data_in = [
+            ["Chevrolet", "Bel Air", 1957],
+            ["Dodge", "Dart", 1964],
+            ["Ford", "Mustang", 1968]
+        ],
+        schema = {
+            // Or simply: ["make", "model", "year"]
+            resultFields: [{key:"make"}, {key:"model"}, {key:"year"}]
+        },
+        data_out = Y.DataSchema.Array.apply(schema, data_in));
+ 
+    alert(data_out);
+});
+

...primitive data types

+ +
  1. YUI().use("dataschema-array", function(Y) {
  2.     var data_in = [
  3.             "1957 Chevrolet Bel Air", "1964 Dodge Dart", "1968 Ford Mustang"
  4.         ],
  5.         schema = {
  6.             // Or simply: ["make", "model", "year"]
  7.             resultFields: [{key:"make"}, {key:"model"}, {key:"year"}]
  8.         },
  9.         data_out = Y.DataSchema.Array.apply(schema, data_in));
  10.  
  11.     alert(data_out);
  12. });
YUI().use("dataschema-array", function(Y) {
+    var data_in = [
+            "1957 Chevrolet Bel Air", "1964 Dodge Dart", "1968 Ford Mustang"
+        ],
+        schema = {
+            // Or simply: ["make", "model", "year"]
+            resultFields: [{key:"make"}, {key:"model"}, {key:"year"}]
+        },
+        data_out = Y.DataSchema.Array.apply(schema, data_in));
+ 
+    alert(data_out);
+});
+

...or even a combination.

+ +

...primitive data types

+ +
  1. YUI().use("dataschema-array", function(Y) {
  2.     var data_in = [
  3.             {make:"Chevrolet",model:"Bel Air",year:1957},
  4.             ["Dodge", "Dart", 1964],
  5.             "1968 Ford Mustang"
  6.         ],
  7.         schema = {
  8.             // Or simply: ["make", "model", "year"]
  9.             resultFields: [{key:"make"}, {key:"model"}, {key:"year"}]
  10.         },
  11.         data_out = Y.DataSchema.Array.apply(schema, data_in));
  12.  
  13.     alert(data_out);
  14. });
YUI().use("dataschema-array", function(Y) {
+    var data_in = [
+            {make:"Chevrolet",model:"Bel Air",year:1957},
+            ["Dodge", "Dart", 1964],
+            "1968 Ford Mustang"
+        ],
+        schema = {
+            // Or simply: ["make", "model", "year"]
+            resultFields: [{key:"make"}, {key:"model"}, {key:"year"}]
+        },
+        data_out = Y.DataSchema.Array.apply(schema, data_in));
+ 
+    alert(data_out);
+});
+
+ + + + +
+
+

More DataSchema Utility Resources:

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