/** * This matrix allows you to do all the calculations on the backend. * This is handy when you have large data sets. * * Basically this class sends to the specified URL the following configuration object: * * - leftAxis: array of serialized dimensions on the left axis * * - topAxis: array of serialized dimensions on the top axis * * - aggregate: array of serialized dimensions on the aggregate * * - keysSeparator: the separator used by the left/top items keys. It's the one defined * on the matrix * * - grandTotalKey: the key for the grand total items. It's the one defined on the matrix * * * The expected JSON should have the following format: * * - success - true/false * * - leftAxis - array of items that were generated for the left axis. Each item is an * object with keys for: key, value, name, dimensionId. If you send back the item name and you also * have a renderer defined then the renderer is not called anymore. * * - topAxis - array of items that were generated for the top axis. * * - results - array of results for all left/top axis items. Each result is an object * with keys for: leftKey, topKey, values. The 'values' object has keys for each * aggregate id that was sent to the backend. * * Example * * // let's assume that we have this configuration on the pivot grid * { * xtype: 'pivotgrid', * * matrix: { * type: 'remote', * url: 'your-backend-url'. * * aggregate: [{ * id: 'agg1', * dataIndex: 'value', * header: 'Sum of value', * aggregator: 'sum' * },{ * id: 'agg2', * dataIndex: 'value', * header: '# records', * aggregator: 'count', * align: 'right', * renderer: Ext.util.Format.numberRenderer('0') * }], * * leftAxis: [{ * id: 'person', * dataIndex: 'person', * header: 'Person', * sortable: false * },{ * id: 'country', * dataIndex: 'country', * header: 'Country' * }], * * topAxis: [{ * id: 'year', * dataIndex: 'year', * header: 'Year' * },{ * id: 'month', * dataIndex: 'month', * header: 'Month' * }] * } * } * * // this is the expected result from the server * { * "success": true, * "leftAxis": [{ * "key": "john", * "value": "John", * "name": "John", * "dimensionId": "person" * }, { * "key": "john#_#usa", * "value": "USA", * "name": "United States of America", * "dimensionId": "country" * }, { * "key": "john#_#canada", * "value": "Canada", * "name": "Canada", * "dimensionId": "country" * }], * "topAxis": [{ * "key": "2014", * "value": "2014", * "name": "2014", * "dimensionId": "year" * }, { * "key": "2014#_#2", * "value": "2", * "name": "February", * "dimensionId": "month" * }], * "results": [{ * "leftKey": "grandtotal", * "topKey": "grandtotal", * "values": { * "agg1": 100, * "agg2": 20 * } * }, { * "leftKey": "john", * "topKey": "grandtotal", * "values": { * "agg1": 100, * "agg2": 20 * } * }, { * "leftKey": "john#_#canada", * "topKey": "grandtotal", * "values": { * "agg1": 70, * "agg2": 13 * } * }, { * "leftKey": "john#_#usa", * "topKey": "grandtotal", * "values": { * "agg1": 30, * "agg2": 7 * } * }, { * "leftKey": "grandtotal", * "topKey": "2014", * "values": { * "agg1": 100, * "agg2": 20 * } * }, { * "leftKey": "grandtotal", * "topKey": "2014#_#2", * "values": { * "agg1": 50, * "agg2": 70 * } * }, { * "leftKey": "john", * "topKey": "2014", * "values": { * "agg1": 100, * "agg2": 20 * } * }, { * "leftKey": "john", * "topKey": "2014#_#2", * "values": { * "agg1": 100, * "agg2": 20 * } * }, { * "leftKey": "john#_#usa", * "topKey": "2014", * "values": { * "agg1": 70, * "agg2": 13 * } * }, { * "leftKey": "john#_#usa", * "topKey": "2014#_#2", * "values": { * "agg1": 70, * "agg2": 13 * } * }, { * "leftKey": "john#_#canada", * "topKey": "2014", * "values": { * "agg1": 30, * "agg2": 7 * } * }, { * "leftKey": "john#_#canada", * "topKey": "2014#_#2", * "values": { * "agg1": 30, * "agg2": 7 * } * }] * } * * * It is very important to use the dimension IDs that were sent to the backend * instead of creating new ones. * * This class can also serve as an example for implementing various types of * remote matrix. */Ext.define('Ext.pivot.matrix.Remote', { alternateClassName: [ 'Mz.aggregate.matrix.Remote' ], extend: 'Ext.pivot.matrix.Base', alias: 'pivotmatrix.remote', isRemoteMatrix: true, /** * Fires before requesting data from the server side. * Return false if you don't want to make the Ajax request. * * @event beforerequest * @param {Ext.pivot.matrix.Remote} matrix Reference to the Matrix object * @param {Object} params Params sent by the Ajax request */ /** * Fires if there was any Ajax exception or the success value in the response was false. * * @event requestexception * @param {Ext.pivot.matrix.Remote} matrix Reference to the Matrix object * @param {Object} response The Ajax response object */ /** * @cfg {String} url * * URL on the server side where the calculations are performed. */ url: '', /** * @cfg {Number} timeout * * The timeout in miliseconds to be used for the server side request. * Default to 30 seconds. */ timeout: 3000, /** * @method * * Template function called before doing the Ajax request * You could change the request params in a subclass if you implement this method. * Return false if you don't want to make the Ajax request. * * @param {Object} params */ onBeforeRequest: Ext.emptyFn, /** * @method * * Template function called if there was any Ajax exception or the success value * in the response was false. * You could handle the exception in a subclass if you implement this method. * * @param {Object} response */ onRequestException: Ext.emptyFn, onInitialize: function() { var me = this; me.remoteDelayedTask = new Ext.util.DelayedTask(me.delayedProcess, me); me.callParent(arguments); }, onDestroy: function() { this.remoteDelayedTask.cancel(); this.remoteDelayedTask = null; this.callParent(); }, startProcess: function() { var me = this; if (Ext.isEmpty(me.url)) { // nothing to do return; } me.clearData(); // let's start the process me.fireEvent('start', me); me.statusInProgress = false; me.remoteDelayedTask.delay(5); }, delayedProcess: function() { var me = this, matrix = me.serialize(), ret, params; params = { keysSeparator: me.keysSeparator, grandTotalKey: me.grandTotalKey, leftAxis: matrix.leftAxis, topAxis: matrix.topAxis, aggregate: matrix.aggregate }; ret = me.fireEvent('beforerequest', me, params); if (ret !== false) { if (Ext.isFunction(me.onBeforeRequest)) { ret = me.onBeforeRequest(params); } } if (ret === false) { me.endProcess(); } else { // do an Ajax call to the configured URL and fetch the results Ext.Ajax.request({ url: me.url, timeout: me.timeout, jsonData: params, callback: me.processRemoteResults, scope: me }); } }, /** * Ajax request callback * * @private */ processRemoteResults: function(options, success, response) { var me = this, exception = !success, data = Ext.JSON.decode(response.responseText, true), items, item, len, i, result; if (success) { exception = (!data || !data.success); } if (exception) { // handle exception me.fireEvent('requestexception', me, response); if (Ext.isFunction(me.onRequestException)) { me.onRequestException(response); } me.endProcess(); return; } items = Ext.Array.from(data.leftAxis || []); len = items.length; for (i = 0; i < len; i++) { item = items[i]; if (Ext.isObject(item)) { me.leftAxis.addItem(item); } } items = Ext.Array.from(data.topAxis || []); len = items.length; for (i = 0; i < len; i++) { item = items[i]; if (Ext.isObject(item)) { me.topAxis.addItem(item); } } items = Ext.Array.from(data.results || []); len = items.length; for (i = 0; i < len; i++) { item = items[i]; if (Ext.isObject(item)) { result = me.results.add(item.leftKey || '', item.topKey || ''); Ext.Object.each(item.values || {}, result.addValue, result); } } me.endProcess(); }});