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1 | /**\r |
2 | *\r | |
3 | * This example shows how to create a pivot grid with remote calculations\r | |
4 | * and how to drill down the results.\r | |
5 | *\r | |
6 | * DblClick a cell to open the drill down window and see all records used to\r | |
7 | * aggregate that cell.\r | |
8 | *\r | |
9 | */\r | |
10 | Ext.define('KitchenSink.view.pivot.RemoteCalculations', {\r | |
11 | extend: 'Ext.pivot.Grid',\r | |
12 | xtype: 'remote-pivot-grid',\r | |
13 | controller: 'remotecalculations',\r | |
14 | \r | |
15 | requires: [\r | |
16 | 'KitchenSink.view.pivot.RemoteCalculationsController'\r | |
17 | ],\r | |
18 | \r | |
19 | title: 'Remote calculations',\r | |
20 | collapsible: true,\r | |
21 | multiSelect: true,\r | |
22 | height: 350,\r | |
23 | \r | |
24 | selModel: {\r | |
25 | type: 'spreadsheet'\r | |
26 | },\r | |
27 | \r | |
28 | // Set matrix specific configuration\r | |
29 | matrixConfig: {\r | |
30 | type: 'remote',\r | |
31 | url: '/KitchenSink/RemoteSalesData'\r | |
32 | },\r | |
33 | \r | |
34 | plugins: [{\r | |
35 | ptype: 'pivotdrilldown',\r | |
36 | // define the columns used by the grid\r | |
37 | columns: [\r | |
38 | {dataIndex: 'company', text: 'Company'},\r | |
39 | {dataIndex: 'continent', text: 'Continent'},\r | |
40 | {dataIndex: 'country', text: 'Country'},\r | |
41 | {dataIndex: 'person', text: 'Person'},\r | |
42 | {dataIndex: 'date', text: 'Date', xtype: 'datecolumn'},\r | |
43 | {dataIndex: 'value', text: 'Value', xtype: 'numbercolumn', align: 'right'},\r | |
44 | {dataIndex: 'quantity', text: 'Qty', xtype: 'numbercolumn', align: 'right'},\r | |
45 | {dataIndex: 'year', text: 'Year', xtype: 'numbercolumn', formatter: 'number(0)', align: 'right'},\r | |
46 | {dataIndex: 'month', text: 'Month', xtype: 'numbercolumn', formatter: 'number(0)', align: 'right'}\r | |
47 | ],\r | |
48 | \r | |
49 | // define a remote store that will be used to filter the records\r | |
50 | remoteStore: {\r | |
51 | model: 'KitchenSink.model.pivot.Sale',\r | |
52 | \r | |
53 | proxy: {\r | |
54 | // load using HTTP\r | |
55 | type: 'ajax',\r | |
56 | url: '/KitchenSink/RemoteSalesData',\r | |
57 | // the return will be JSON, so lets set up a reader\r | |
58 | reader: {\r | |
59 | type: 'json',\r | |
60 | rootProperty: 'data'\r | |
61 | }\r | |
62 | }\r | |
63 | }\r | |
64 | }],\r | |
65 | \r | |
66 | // Set layout type to "outline". If this config is missing then the default layout is "outline"\r | |
67 | viewLayoutType: 'outline',\r | |
68 | \r | |
69 | // Set this to false if multiple dimensions are configured on leftAxis and\r | |
70 | // you want to automatically expand the row groups when calculations are ready.\r | |
71 | startRowGroupsCollapsed: false,\r | |
72 | \r | |
73 | // Configure the aggregate dimensions. Multiple dimensions are supported.\r | |
74 | aggregate: [{\r | |
75 | // id was provided for a better understanding of the JSON response\r | |
76 | id: 'valueAgg',\r | |
77 | dataIndex: 'value',\r | |
78 | header: 'Sum of value',\r | |
79 | aggregator: 'sum',\r | |
80 | width: 90\r | |
81 | },{\r | |
82 | // id was provided for a better understanding of the JSON response\r | |
83 | id: 'countAgg',\r | |
84 | dataIndex: 'id',\r | |
85 | header: 'Count',\r | |
86 | aggregator: 'count',\r | |
87 | width: 80\r | |
88 | }],\r | |
89 | \r | |
90 | // Configure the left axis dimensions that will be used to generate the grid rows\r | |
91 | leftAxis: [{\r | |
92 | // id was provided for a better understanding of the JSON response\r | |
93 | id: 'person',\r | |
94 | dataIndex: 'person',\r | |
95 | header: 'Person',\r | |
96 | width: 80\r | |
97 | },{\r | |
98 | // id was provided for a better understanding of the JSON response\r | |
99 | id: 'company',\r | |
100 | dataIndex: 'company',\r | |
101 | header: 'Company',\r | |
102 | sortable: false,\r | |
103 | width: 80\r | |
104 | }],\r | |
105 | \r | |
106 | /**\r | |
107 | * Configure the top axis dimensions that will be used to generate the columns.\r | |
108 | * When columns are generated the aggregate dimensions are also used. If multiple aggregation dimensions\r | |
109 | * are defined then each top axis result will have in the end a column header with children\r | |
110 | * columns for each aggregate dimension defined.\r | |
111 | */\r | |
112 | topAxis: [{\r | |
113 | // id was provided for a better understanding of the JSON response\r | |
114 | id: 'country',\r | |
115 | dataIndex: 'country',\r | |
116 | header: 'Country'\r | |
117 | }],\r | |
118 | \r | |
119 | listeners: {\r | |
120 | pivotdone: 'onPivotDone'\r | |
121 | },\r | |
122 | \r | |
123 | //<example>\r | |
124 | otherContent: [{\r | |
125 | type: 'Controller',\r | |
126 | path: 'classic/samples/view/pivot/RemoteCalculationsController.js'\r | |
127 | }],\r | |
128 | profiles: {\r | |
129 | classic: {\r | |
130 | width: 600\r | |
131 | },\r | |
132 | neptune: {\r | |
133 | width: 750\r | |
134 | }\r | |
135 | },\r | |
136 | //</example>\r | |
137 | \r | |
138 | initComponent: function () {\r | |
139 | var me = this;\r | |
140 | \r | |
141 | me.width = me.profileInfo.width;\r | |
142 | \r | |
143 | me.callParent();\r | |
144 | }\r | |
145 | });\r |