Saiku默认给数据类型的数据添加小数点问题处理
不知道大家有没有遇到过saiku定义的维度信息，数据类型时 展示出来的数据会自动加上 .0的后缀。
比如我定义了一个维度为 年, 在数据库中为 int类型，值为2018 ，结果在saiku中展示就自动变成了 2018.0 ，这个好像还是个概率性事件... 一模一样的配置，有些会自动带上小数点 有些正常显示。
对于此问题，我看了看后台接口 execute,接口的返回结果集中就添加了小数点，所以我目前的应对处理方案是在table渲染页面更改值。
SaikuTableRenderer.js 文件中，在此代码前 for (var col = 0, colLen = table[row].length; col < colLen; col++) { 添加如下代码 ，文章末尾处会提供完整的js文件信息 大概是400多行的位置
//循環遍歷data 將帶小數的年、月去掉小數位; 例如 2018.0 轉換為 2018
for (var col = 0, colLen = table[row].length; col < colLen; col++) {
var tmpRow = data[row][col];
if(tmpRow.properties.hierarchy=="[年].[年]" || tmpRow.properties.hierarchy=="[月].[月]"){ //判断是否为年和月维度
var tmpValue = tmpRow.value;
if(tmpValue != null && tmpValue.indexOf('.')>-1){ //判断是否有小数点信息
tmpValue = tmpValue.substr(0,tmpValue.indexOf('.'));//去掉小數位
data[row][col].value = tmpValue; //重新给data的value赋值（新值中已经去掉了小数点）
}
}
}
在schame的cube中关于维度 年， 月的定义如下：
针对去除不必要的小数点其实还有其他方案可行
>>1 更改数据库中年，月的数据类型为 char类型，不使用数据类型（int）
>>2 通过定义参数来处理，就不用走这么多for循环了... 但是这样子的话 不带参数访问saiku数据时 是没有达到去除的效果的，而且参数过多可能请求会被拦截... 所以我没有用参数去做。
因为改动的是js文件，所以不需要重新编译saiku哦,直接到saiku-server下更改文件，然后刷新浏览器即可看到效果~
最后提供一下更改后的完整的SaikuTableRenderer.js文件
function SaikuTableRenderer(data, options) {
this._data = data;
this._options = _.extend({}, SaikuRendererOptions, options);
}
function getAxisLevelsName(data, axisName) {
var queryData = data.query.queryModel.axes[axisName].hierarchies;
var len = queryData.length;
var arrLevels = [];
for (var i = 0; i < len; i++) {
for (var level in queryData[i].levels) {
if (queryData[i].levels.hasOwnProperty(level)) {
if (Settings.COLUMN_TITLE_TABLE_USE_LEVEL_CAPTION_NAME) {
arrLevels.push(queryData[i].levels[level].caption);
}
else {
arrLevels.push(level);
}
}
}
}
return arrLevels;
}
function setStyleNegativeNumber(value) {
var className = '';
if (Settings.STYLE_NEGATIVE_NUMBER && parseFloat(value) < 0) {
className = ' style_negative_number ';
}
return className;
}
function getAxisSize(data, axisName) {
var queryData = data.query.queryModel.axes[axisName].hierarchies;
var len = queryData.length;
var axisSize = 0;
for (var i = 0; i < len; i++) {
axisSize += _.size(queryData[i].levels);
}
return axisSize;
}
function getDomColumnsLevelsName(htmlObject) {
var $htmlObject = $(htmlObject.closest('.workspace')
.find('.workspace_fields')
.find('.columns.axis_fields')
.find('.hierarchy')
.find('.d_level'));
var arrLevels = [];
$.each($htmlObject, function(key, level) {
if ($(level).attr('style') === 'display: list-item;') {
if (Settings.COLUMN_TITLE_TABLE_USE_LEVEL_CAPTION_NAME) {
arrLevels.push($(level).find('.level').attr('title'));
}
else {
arrLevels.push($(level).find('.level').attr('level'));
}
}
});
return arrLevels;
}
/*table render method*/
SaikuTableRenderer.prototype.render = function(data, options) {
var self = this;
if (data) {
this._data = data;
}
if (options) {
this._options = _.extend({}, SaikuRendererOptions, options);
}
if (typeof this._data == "undefined") {
return;
}
if (this._data != null && this._data.error != null) {
return;
}
if (this._data == null || (this._data.cellset && this._data.cellset.length === 0)) {
return;
}
this.hideEmpty = this._options.hideEmpty;
if (this._options.htmlObject) {
// $(this._options.htmlObject).stickyTableHeaders("destroy");
// in case we have some left over scrollers
if (self._options.hasOwnProperty('batch')) {
$(self._options.htmlObject).parent().parent().unbind('scroll');
}
_.defer(function(that) {
if (self._options.hasOwnProperty('batch') && !self._options.hasOwnProperty('batchSize')) {
self._options['batchSize'] = 1000;
}
// the key method to render data by table form. 20190423
var html = self.internalRender(self._data, self._options);
$(self._options.htmlObject).html(html);
// Render the totals summary
$('#totals_summary').remove(); // Remove one previous totals div, if present
$(self._options.htmlObject).after(self.renderSummary(data)); // Render the new summary
// $(self._options.htmlObject).stickyTableHeaders( { container: self._options.htmlObject.parent().parent(), fixedOffset: self._options.htmlObject.parent().parent().offset().top });
_.defer(function(that) {
if (self._options.hasOwnProperty('batch') && self._options.hasBatchResult) {
var batchRow = 0;
var batchIsRunning = false;
var batchIntervalSize = self._options.hasOwnProperty('batchIntervalSize') ? self._options.batchIntervalSize : 20;
var batchIntervalTime = self._options.hasOwnProperty('batchIntervalTime') ? self._options.batchIntervalTime : 20;
var len = self._options.batchResult.length;
var batchInsert = function() {
// maybe add check for reach table bottom - ($('.workspace_results').scrollTop() , $('.workspace_results table').height()
if (!batchIsRunning && len > 0 && batchRow < len) {
batchIsRunning = true;
var batchContent = "";
var startb = batchRow;
for (var i = 0; batchRow < len && i < batchIntervalSize ; i++, batchRow++) {
batchContent += self._options.batchResult[batchRow];
}
if (batchRow > startb) {
$(self._options.htmlObject).append( $(batchContent));
}
batchIsRunning = false;
}
if (batchRow >= len) {
$(self._options.htmlObject).parent().parent().unbind('scroll');
}
};
var lazyBatchInsert = _.debounce(batchInsert, batchIntervalTime);
$(self._options.htmlObject).parent().parent().scroll(function () {
lazyBatchInsert();
});
}
});
return html;
});
} else {
var html = this.internalRender(this._data, self._options);
return html;
}
};
SaikuTableRenderer.prototype.clear = function(data, options) {
var self = this;
if (this._options && this._options.htmlObject && this._options.hasOwnProperty('batch')) {
$(self._options.htmlObject).parent().parent().unbind('scroll');
}
};
SaikuTableRenderer.prototype.processData = function(data, options) {
this._hasProcessed = true;
};
function genTotalDataCells(currentIndex, cellIndex, scanSums, scanIndexes, lists) {
var contents = '';
var lists = lists[ROWS];
for (var i = scanSums.length - 1; i >= 0; i--) {
if (currentIndex == scanSums[i]) {
var currentListNode = lists[i][scanIndexes[i]];
for (var m = 0; m < currentListNode.cells.length; m++) {
contents += '' + currentListNode.cells[m][cellIndex].value + ' ';
}
scanIndexes[i]++;
if (scanIndexes[i] < lists[i].length)
scanSums[i] += lists[i][scanIndexes[i]].width;
}
}
return contents;
}
function genTotalHeaderCells(currentIndex, bottom, scanSums, scanIndexes, lists, wrapContent) {
var contents = '';
for (var i = bottom; i >= 0; i--) {
if (currentIndex == scanSums[i]) {
var currentListNode = lists[i][scanIndexes[i]];
var cssClass;
if (i == 0 && bottom == 1)
cssClass = "col";
else if (i == bottom)
cssClass = "col_total_corner";
else if (i == bottom - 1 && currentListNode.captions)
cssClass = "col_total_first";
else cssClass = "col_null";
for (var m = 0; m < currentListNode.cells.length; m++) {
var text = ' ';
if (bottom == lists.length - 1) {
if (currentListNode.captions) {
text = lists[i][scanIndexes[i]].captions[m];
}
if (i == 0 && scanIndexes[i] == 0) {
if (currentListNode.captions)
text += " ";
else text = "";
text += (wrapContent ? "Grand Total" : "Grand Total");
}
}
contents += ''
+ (wrapContent ? '' + text + '' : text ) + ' ';
}
scanIndexes[i]++;
if (scanIndexes[i] < lists[i].length)
scanSums[i] += lists[i][scanIndexes[i]].width;
}
}
return contents;
}
function totalIntersectionCells(currentIndex, bottom, scanSums, scanIndexes, lists) {
var contents = '';
for (var i = bottom; i >= 0; i--) {
if (currentIndex == scanSums[i]) {
var currentListNode = lists[i][scanIndexes[i]];
var cssClass = "data total";
for (var m = 0; m < currentListNode.cells.length; m++) {
var text = ' ';
contents += '' + text + ' ';
}
scanIndexes[i]++;
if (scanIndexes[i] < lists[i].length)
scanSums[i] += lists[i][scanIndexes[i]].width;
}
}
return contents;
}
function isNextTotalsRow(currentIndex, scanSums, scanIndexes, totalsLists, wrapContent) {
var colLists = totalsLists[COLUMNS];
var colScanSums = scanSums[COLUMNS];
var colScanIndexes = scanIndexes[COLUMNS];
var bottom = colLists.length - 2;
var contents = -1;
for (var i = bottom; i >= 0; i--) {
if (currentIndex == colScanSums[i]) {
for (var m = 0; m < colLists[i][colScanIndexes[i]].cells.length; m++) {
contents += '';
for (var j = 0; j <= bottom; j++) {
var cssClass;
var text = ' ';
if (i == 0 && j == 0)
cssClass = 'row';
else if (i == j + 1){
cssClass = 'row_total_corner';
return j;
}
else if (i == j && colLists[i][colScanIndexes[i]].captions) {
cssClass = 'row_total_first';
} else if (i < j + 1)
cssClass = 'row_total';
else
cssClass = 'row_null';
if (j == bottom ) {
if (colLists[i][colScanIndexes[i]].captions) {
text = colLists[i][colScanIndexes[i]].captions[m];
}
if (i == 0 && colScanIndexes[i] == 0) {
if (colLists[i][colScanIndexes[i]].captions)
text += " ";
else text = "";
text += (wrapContent ? "Grand Total" : "Grand Total");
}
}
}
}
}
}
return -1;
}
function genTotalHeaderRowCells(currentIndex, scanSums, scanIndexes, totalsLists, wrapContent) {
var colLists = totalsLists[COLUMNS];
var colScanSums = scanSums[COLUMNS];
var colScanIndexes = scanIndexes[COLUMNS];
var bottom = colLists.length - 2;
var contents = '';
for (var i = bottom; i >= 0; i--) {
if (currentIndex == colScanSums[i]) {
for (var m = 0; m < colLists[i][colScanIndexes[i]].cells.length; m++) {
contents += ' ';
for (var j = 0; j <= bottom; j++) {
var cssClass;
var text = ' ';
if (i == 0 && j == 0)
cssClass = 'row';
else if (i == j + 1)
cssClass = 'row_total_corner';
else if (i == j && colLists[i][colScanIndexes[i]].captions) {
cssClass = 'row_total_first';
} else if (i < j + 1)
cssClass = 'row_total';
else
cssClass = 'row_null';
if (j == bottom ) {
if (colLists[i][colScanIndexes[i]].captions) {
text = colLists[i][colScanIndexes[i]].captions[m];
}
if (i == 0 && colScanIndexes[i] == 0) {
if (colLists[i][colScanIndexes[i]].captions)
text += " ";
else text = "";
text += (wrapContent ? "Grand Total" : "Grand Total");
}
}
contents += ''
+ (wrapContent ? '' + text + '' : text ) + ' ';
}
var scanIndexes = {};
var scanSums = {};
if (totalsLists[ROWS]) {
for (var z = 0; z < totalsLists[ROWS].length; z++) {
scanIndexes[z] = 0;
scanSums[z] = totalsLists[ROWS][z][scanIndexes[z]].width;
}
}
for (var k = 0; k < colLists[i][colScanIndexes[i]].cells[m].length; k++) {
contents += '' + colLists[i][colScanIndexes[i]].cells[m][k].value + ' ';
if (totalsLists[ROWS]) {
contents += totalIntersectionCells(k + 1, totalsLists[ROWS].length - 1, scanSums, scanIndexes, totalsLists[ROWS]);
}
}
contents += ' ';
}
colScanIndexes[i]++;
if (colScanIndexes[i] < colLists[i].length) {
colScanSums[i] += colLists[i][colScanIndexes[i]].width;
}
}
}
return contents;
}
var ROWS = "ROWS";
var COLUMNS = "COLUMNS";
function nextParentsDiffer(data, row, col) {
while (row-- > 0) {
if (data[row][col].properties.uniquename != data[row][col + 1].properties.uniquename)
return true;
}
return false;
}
function topParentsDiffer(data, row, col) {
while (col-- > 0)
if (data[row][col].properties.uniquename != data[row - 1][col].properties.uniquename)
return true;
return false;
}
/**
* This function is intended to traverse the totals arrays and cleanup empty
* totals. This will optimize the query result on screen, displaying just the
* needed cells.
* @param dirs The direction array ['ROWS', 'COLUMNS']
* @param totalsLists The totals from allData.rowTotalsLists and allData.colTotalsLists.
*/
function cleanupTotals(dirs, totalsLists) {
// For each direction (ROWS/COLUMNS)
for (var dirIndex = 0; dirIndex < dirs.length; dirIndex++) {
var dir = dirs[dirIndex];
// If there are defined totals
if (totalsLists[dir]) {
var isEmpty = true; // A flag to indicate if this total is empty
for (var row = 0; row < totalsLists[dir].length; row++) {
var totalsInfoArray = totalsLists[dir][row];
for (var totalIndex = 0; totalIndex < totalsInfoArray.length; totalIndex++) {
var cells = totalsLists[dir][row][totalIndex].cells;
for (var cellIndex = 0; cellIndex < cells.length; cellIndex++) {
var cellArray = cells[cellIndex];
// For each total cell
for (var i = 0; i < cellArray.length; i++) {
var cell = cellArray[i];
// If it contains a value different from empty
if (cell.value !== '-') {
isEmpty = false; // So, this total is not empty
}
}
}
}
}
if (isEmpty) { // If this total is empty
totalsLists[dir] = null; // Remove it
}
}
}
}
/*the main method to render data by table form. 20190423*/
SaikuTableRenderer.prototype.internalRender = function(allData, options) {
var tableContent = "";
var rowContent = "";
var data = allData.cellset;
var newRowContent = '';
var arrRowData = [];
var objRowData = [];
var table = data ? data : [];
var colSpan;
var colValue;
var isHeaderLowestLvl;
var isBody = false;
var firstColumn;
var isLastColumn, isLastRow;
var nextHeader;
var processedRowHeader = false;
var lowestRowLvl = 0;
var rowGroups = [];
var batchSize = null;
var batchStarted = false;
var isColHeader = false, isColHeaderDone = false;
var resultRows = [];
var wrapContent = true;
if (options) {
batchSize = options.hasOwnProperty('batchSize') ? options.batchSize : null;
wrapContent = options.hasOwnProperty('wrapContent') ? options.wrapContent : true;
}
var totalsLists = {};
totalsLists[COLUMNS] = allData.rowTotalsLists;
totalsLists[ROWS] = allData.colTotalsLists;
var scanSums = {};
var scanIndexes = {};
var dirs = [ROWS, COLUMNS];
var hasMeasures = allData.query && allData.query.queryModel && allData.query.queryModel.details
? allData.query.queryModel.details.measures.length
: 0;
if (typeof this._options.htmlObject === 'object' &&
Settings.ALLOW_AXIS_COLUMN_TITLE_TABLE &&
hasMeasures > 0 &&
allData.query.type === 'QUERYMODEL' &&
allData.query.queryModel.details.axis === 'COLUMNS' &&
allData.query.queryModel.details.location === 'BOTTOM') {
var arrColumnTitleTable = getAxisLevelsName(allData, COLUMNS);
var arrDomColumnTitleTable = getDomColumnsLevelsName(this._options.htmlObject);
var colspanColumnTitleTable = getAxisSize(allData, ROWS);
var auxColumnTitleTable = 0;
if (arrColumnTitleTable.length === arrDomColumnTitleTable.length) {
arrColumnTitleTable = arrDomColumnTitleTable;
}
else {
arrColumnTitleTable = _.intersection(arrDomColumnTitleTable, arrColumnTitleTable);
}
}
for (var i = 0; i < dirs.length; i++) {
scanSums[dirs[i]] = new Array();
scanIndexes[dirs[i]] = new Array();
}
// Here we cleaup the empty totals
cleanupTotals(dirs, totalsLists);
if (totalsLists[COLUMNS]) {
for (var i = 0; i < totalsLists[COLUMNS].length; i++) {
scanIndexes[COLUMNS][i] = 0;
scanSums[COLUMNS][i] = totalsLists[COLUMNS][i][scanIndexes[COLUMNS][i]].width;
}
}
var headerFlag=true;// add this flag to solve the bug when same data to merge。 20190423
var cubename = allData.query.cube.name;
for (var row = 0, rowLen = table.length; row < rowLen; row++) {
var rowShifted = row - allData.topOffset;
colSpan = 1;
colValue = "";
isHeaderLowestLvl = false;
isLastColumn = false;
isLastRow = false;
isColHeader = false;
var headerSame = false;
if (totalsLists[ROWS]) {
for (var i = 0; i < totalsLists[ROWS].length; i++) {
scanIndexes[ROWS][i] = 0;
scanSums[ROWS][i] = totalsLists[ROWS][i][scanIndexes[ROWS][i]].width;
}
}
rowWithOnlyEmptyCells = true; //默认行数据为空时不展展示，如果改回来 将此条值置为true即可
//var paramsURI = Saiku.URLParams.paramsURI(); //get the param from url
//var showEmptyRows = paramsURI.showEmptyRows;
//if(showEmptyRows != null && showEmptyRows != undefined && showEmptyRows != '' && showEmptyRows=='yes') {
if(cubename == "SummaryKPI_2018_ext" ||cubename == "SummaryKPI_2019_ext" ||cubename == "SummaryKPI_2019_Dynamic"){
rowWithOnlyEmptyCells = false; //設置行數據為空的時候也顯示數據！ 20190425 for summaryKPI Data
}
rowContent = "";
var header = null;
if (row === 0) {
rowContent = "" + rowContent;
}
if (typeof this._options.htmlObject === 'object' &&
Settings.ALLOW_AXIS_COLUMN_TITLE_TABLE &&
hasMeasures > 0 &&
allData.query.type === 'QUERYMODEL' &&
allData.query.queryModel.details.axis === 'COLUMNS' &&
allData.query.queryModel.details.location === 'BOTTOM' &&
auxColumnTitleTable < arrColumnTitleTable.length) {
rowContent += ''
+ (wrapContent ? '' + arrColumnTitleTable[auxColumnTitleTable] + '' : arrColumnTitleTable[auxColumnTitleTable])
+ ' ';
auxColumnTitleTable += 1;
}
//循環遍歷data 將帶小數的年、月去掉小數位; 例如 2018.0 轉換為 2018
for (var col = 0, colLen = table[row].length; col < colLen; col++) {
var tmpRow = data[row][col];
if(tmpRow.properties.hierarchy=="[年].[年]" || tmpRow.properties.hierarchy=="[月].[月]"){
var tmpValue = tmpRow.value;
if(tmpValue != null && tmpValue.indexOf('.')>-1){
tmpValue = tmpValue.substr(0,tmpValue.indexOf('.'));//去掉小數位
data[row][col].value = tmpValue;
}
}
}
for (var col = 0, colLen = table[row].length; col < colLen; col++) {
var colShifted = col - allData.leftOffset;
header = data[row][col];
if (header.type === "COLUMN_HEADER") {
isColHeader = true;
}
// If the cell is a column header and is null (top left of table)
if (header.type === "COLUMN_HEADER" && header.value === "null" && (firstColumn == null || col < firstColumn)) {
if (((!Settings.ALLOW_AXIS_COLUMN_TITLE_TABLE || (Settings.ALLOW_AXIS_COLUMN_TITLE_TABLE && allData.query.queryModel.details.location !== 'BOTTOM')) || hasMeasures === 0) ||
allData.query.type === 'MDX') {
rowContent += ' ';
}
} // If the cell is a column header and isn't null (column header of table)
else if (header.type === "COLUMN_HEADER") {
if (firstColumn == null) {
firstColumn = col;
}
if (table[row].length == col+1)
isLastColumn = true;
else
nextHeader = data[row][col+1];
if (isLastColumn) {
// Last column in a row...
if (header.value == "null") {
rowContent += ' ';
} else {
if (totalsLists[ROWS])
colSpan = totalsLists[ROWS][row + 1][scanIndexes[ROWS][row + 1]].span;
rowContent += ''
+ (wrapContent ? '' + header.value + '' : header.value)
+ ' ';
}
} else {
// All the rest...
var groupChange = (col > 1 && row > 1 && !isHeaderLowestLvl && col > firstColumn) ?
data[row-1][col+1].value != data[row-1][col].value || data[row-1][col+1].properties.uniquename != data[row-1][col].properties.uniquename
: false;
var maxColspan = colSpan > 999 ? true : false;
if (header.value != nextHeader.value || nextParentsDiffer(data, row, col) || isHeaderLowestLvl || groupChange || maxColspan) {
if (header.value == "null") {
rowContent += ' ';
} else {
if (totalsLists[ROWS])
colSpan = totalsLists[ROWS][row + 1][scanIndexes[ROWS][row + 1]].span;
rowContent += ''
+ (wrapContent ? '' + header.value + '' : header.value)
+ ' ';
}
colSpan = 1;
} else {
colSpan++;
}
}
if (totalsLists[ROWS])
rowContent += genTotalHeaderCells(col - allData.leftOffset + 1, row + 1, scanSums[ROWS], scanIndexes[ROWS], totalsLists[ROWS], wrapContent);
} // If the cell is a row header and is null (grouped row header)
else if (header.type === "ROW_HEADER" && header.value === "null") {
rowContent += ' ';
} // If the cell is a row header and isn't null (last row header)
else if (header.type === "ROW_HEADER") {
if (lowestRowLvl == col)
isHeaderLowestLvl = true;
else
nextHeader = data[row][col+1];
var previousRow = data[row - 1];
var nextRow = data[row + 1];
// when same set fixed value is false ，It means the same data will not merge。table data will show row by row.20190423
//var same=false;
/*judge the current value and previousRow value,
if equals ,all set comeback,set the headerFlag is true,
we can judge the data as usual. 20190423*/
if(header.value !== previousRow[col].value){
headerFlag =true;
}
/*judge the tableContent include value or not, if include ,
set the headerFlag value is true to avoid repeat datas showed in table.20190423*/
if(tableContent.indexOf(header.value) > -1 ){
headerFlag =true;
}
/*add headerFlag to judge the data is same ，then control the data merge wheather or not.20190423 */
var same = !headerSame && !isHeaderLowestLvl && (col == 0 || !topParentsDiffer(data, row, col)) && header.value === previousRow[col].value && headerFlag;
headerSame = !same;
var sameAsPrevValue = false;
if(Settings.ALLOW_TABLE_DATA_COLLAPSE){
if (row > 0 && row < rowLen - 1) {
if (totalsLists[ROWS] == null || (col <= colLen - totalsLists[ROWS].length - 1)) {
var checkOther = true;
if (totalsLists[COLUMNS] && rowShifted >= 0 && col <= isNextTotalsRow(rowShifted + 1, scanSums, scanIndexes, totalsLists, wrapContent)) {
sameAsPrevValue = true;
checkOther = false;
}
if (checkOther && nextRow[col].value == header.value) {
if (col > 0) {
for (var j = 0; j < col; j++) {
if (nextRow[j].value == data[row][j].value) {
sameAsPrevValue = true;
} else {
sameAsPrevValue = false;
break;
}
}
} else {
sameAsPrevValue = true;
}
}
}
} else if(row > 0 && row == rowLen - 1) {
if (totalsLists[COLUMNS] && rowShifted >= 0 && col <= isNextTotalsRow(rowShifted + 1, scanSums, scanIndexes, totalsLists, wrapContent)) {
sameAsPrevValue = true;
}
}
}
var value = (same ? " " : ''
+ (sameAsPrevValue && Settings.ALLOW_TABLE_DATA_COLLAPSE ? '' : '' ) + header.value + '');
if (!wrapContent) {
value = (same ? " " : header.value );
}
var tipsy = "";
/* var tipsy = ' original-title="';
if (!same && header.metaproperties) {
for (key in header.metaproperties) {
if (key.substring(0,1) != "$" && key.substring(1,2).toUpperCase() != key.substring(1,2)) {
tipsy += "" + safe_tags_replace(key) + " : " + safe_tags_replace(header.metaproperties[key]) + "
";
}
}
}
tipsy += '"';
*/
var cssclass = (same ? "row_null" : "row");
var colspan = 0;
if (!isHeaderLowestLvl && (typeof nextHeader == "undefined" || nextHeader.value === "null")) {
colspan = 1;
var group = header.properties.dimension;
var level = header.properties.level;
var groupWidth = (group in rowGroups ? rowGroups[group].length - rowGroups[group].indexOf(level) : 1);
for (var k = col + 1; colspan < groupWidth && k <= (lowestRowLvl+1) && data[row][k] !== "null"; k++) {
colspan = k - col;
}
col = col + colspan -1;
}
/*when the content is to long ,we will set new line to show it.*/
// eg value: 新業務及保單行政部
if(cssclass == "row" && value.length>0){
var startPos = value.indexOf('>'); //find start position of the tag. eg:
var endPos = value.lastIndexOf('<'); //find end position of the tag. eg:
var tmpValue = value.substr( startPos+1 ,endPos-startPos-1); // get the content value. eg: 新業務及保單行政部
//将value值每隔40个字自动加上换行符
//each 40 character add one
tag to get new line.
if(tmpValue.length>120){
tmpValue = tmpValue.substr(0,40)+"
"+tmpValue.substr(40,40)+"
"+tmpValue.substr(80,40)+"
"+tmpValue.substr(120,tmpValue.length-120);
}else if(tmpValue.length>80){
tmpValue = tmpValue.substr(0,40)+"
"+tmpValue.substr(40,40)+"
"+tmpValue.substr(80,tmpValue.length-80);
}else if(tmpValue.length>40){
tmpValue = tmpValue.substr(0,40)+"
"+tmpValue.substr(40,tmpValue.length-40);
}
// compared with old value, this value only add
tag for show data in table more beautiful.
value = value.substr(0,startPos+1) + tmpValue + value.substr(endPos,value.length-endPos);
}
rowContent += ' 0 ? ' colspan="' + colspan + '"' : "") + tipsy + '>' + value + ' ';
}
else if (header.type === "ROW_HEADER_HEADER") {
var hierName = function(data) {
var hier = data.properties.hierarchy;
var name = hier.replace(/[\[\]]/gi, '').split('.')[1]
? hier.replace(/[\[\]]/gi, '').split('.')[1]
: hier.replace(/[\[\]]/gi, '').split('.')[0];
return name;
};
var arrPosRowData = [];
if (_.contains(arrRowData, header.value)) {
for (var i = 0; i < arrRowData.length; i++) {
if (arrRowData[i] === header.value) {
arrPosRowData.push(i);
}
}
arrPosRowData.push(col);
}
rowContent += '' + (wrapContent ? '' + header.value + '' : header.value) + ' ';
arrRowData.push(header.value);
objRowData.push({
name: header.value,
hierName: hierName(header) + '/' + header.value
});
isHeaderLowestLvl = true;
processedRowHeader = true;
lowestRowLvl = col;
if (header.properties.hasOwnProperty("dimension")) {
var group = header.properties.dimension;
if (!(group in rowGroups)) {
rowGroups[group] = [];
}
rowGroups[group].push(header.properties.level);
}
if (arrPosRowData.length > 0) {
var aux = 0;
rowContent = '';
if (row === 0) {
rowContent = '' + rowContent;
}
for (var i = 0; i < objRowData.length; i++) {
if (arrPosRowData[aux] === i) {
newRowContent += '' + (wrapContent ? '' + objRowData[i].hierName + '' : objRowData[i].hierName) + ' ';
aux += 1;
}
else {
newRowContent += '' + (wrapContent ? '' + objRowData[i].name + '' : objRowData[i].name) + ' ';
}
}
rowContent += newRowContent;
}
} // If the cell is a normal data cell
else if (header.type === "DATA_CELL") {
batchStarted = true;
var color = "";
var val = _.isEmpty(header.value) ? Settings.EMPTY_VALUE_CHARACTER : header.value;
var arrow = "";
if (header.properties.hasOwnProperty('image')) {
var img_height = header.properties.hasOwnProperty('image_height') ? " height='" + header.properties.image_height + "'" : "";
var img_width = header.properties.hasOwnProperty('image_width') ? " width='" + header.properties.image_width + "'" : "";
val = "![](" + header.properties.image + ")
";
}
// Just apply formatting to non-empty cells
if (val !== '-' && val !== '' && header.properties.hasOwnProperty('style')) {
color = " style='background-color: " + header.properties.style + "' ";
}
if (header.properties.hasOwnProperty('link')) {
val = "" + val + "";
}
if (header.properties.hasOwnProperty('arrow')) {
arrow = "![](./images/arrow-" + header.properties.arrow + ".gif)
";
}
if (val !== '-' && val !== '') {
rowWithOnlyEmptyCells = false;
}
rowContent += ''
+ (wrapContent ? '' : "")
+ val + arrow
+ (wrapContent ? '' : '') + ' ';
if (totalsLists[ROWS])
rowContent += genTotalDataCells(colShifted + 1, rowShifted, scanSums[ROWS], scanIndexes[ROWS], totalsLists, wrapContent);
}
}
rowContent += "";
// Change it to let hideEmpty true by default
if (options.hideEmpty && header.type === "DATA_CELL" && rowWithOnlyEmptyCells) {
/*when data_cell is null,set the headerFlag is false ，
to fix the problem data merge inccrrect.
*/
headerFlag=false;
rowContent = '';
}
var totals = "";
if (totalsLists[COLUMNS] && rowShifted >= 0) {
totals += genTotalHeaderRowCells(rowShifted + 1, scanSums, scanIndexes, totalsLists, wrapContent);
}
if (batchStarted && batchSize) {
if (row <= batchSize) {
if (!isColHeader && !isColHeaderDone) {
tableContent += " ";
isColHeaderDone = true;
}
tableContent += rowContent;
if (totals.length > 0) {
tableContent += totals;
}
} else {
resultRows.push(rowContent);
if (totals.length > 0) {
resultRows.push(totals);
}
}
} else {
if (!isColHeader && !isColHeaderDone) {
tableContent += "";
isColHeaderDone = true;
}
tableContent += rowContent;
if (totals.length > 0) {
tableContent += totals;
}
}
}
if (options) {
options['batchResult'] = resultRows;
options['hasBatchResult'] = resultRows.length > 0;
}
return "" + tableContent + "
";
};
SaikuTableRenderer.prototype.renderSummary = function(data) {
if (data && data.query) {
var hasSomethingToRender = false;
var measures = data.query.queryModel.details
? data.query.queryModel.details.measures
: [];
var summaryData = {};
for (var i = 0; i < measures.length; i++) {
var m = measures[i];
if (m.aggregators) {
for (var j = 0; j < m.aggregators.length; j++) {
var a = m.aggregators[j];
if (a.indexOf('_') > 0) {
var tokens = a.split('_');
var aggregator = tokens[0];
var axis = tokens[1];
if (aggregator !== 'nil' && aggregator !== 'not') {
hasSomethingToRender = true;
aggregator = aggregator.capitalizeFirstLetter();
if (!(axis in summaryData)) summaryData[axis] = [];
summaryData[axis].push(m.name + ": " + aggregator);
}
}
}
}
}
if (hasSomethingToRender) {
var summary = "
";
$.each(summaryData, function(key, aggregators) {
summary += "" + key.capitalizeFirstLetter();
for (var i = 0; i < aggregators.length; i++) {
summary += "
" + aggregators[i];
}
summary += "
";
});
return summary + "";
}
}
return "";
};
String.prototype.capitalizeFirstLetter = function() {
return this.charAt(0).toUpperCase() + this.slice(1).toLowerCase();
}
========二次更新，后台导出excel也有默认的小数点 2018.0问题处理=======20190605============start=======
处理方案：
修改saiku后台代码，OlapResultSetUtil.java 类 的 cellSet2Matrix( final CellSet cellSet, ICellSetFormatter formatter )方法中，有给列头信息赋值，我们根据判断[年]、[月]且值是否带小数点来修改value值就行了啦 大概是line60~
最主要的是我们要知道最后导出excel时，填充数据的取值来源是FormattedValue属性（headervalues[ y ][ x ].getFormattedValue();） , 所以以下我们会根据rowValue的值是否是年 月 维度，且是否带小数点来给formattedValue赋值。
添加的代码如下：
for ( int y = 0; y < matrix.getOffset(); y++ ) {
for ( int x = 0; x < matrix.getMatrixWidth(); x++ ) {
headervalues[ y ][ x ] = matrix.get( x, y );
//以下為新增內容：處理導出excel時 年月帶小數點問題
if(headervalues[ y ][ x ] != null && headervalues[ y ][ x ].getRawValue() != null){
if( headervalues[ y ][ x ].getRawValue().startsWith("[年].[年]") || headervalues[ y ][ x ].getRawValue().startsWith("[月].[月]") ){
String tmpValue = headervalues[ y ][ x ].getFormattedValue();
if(tmpValue != null && tmpValue.indexOf(".")>-1){//判斷年 月結果是否帶小數點
tmpValue = tmpValue.substring(0, tmpValue.indexOf("."));//竊取小數點以前的數據
headervalues[ y ][ x ].setFormattedValue(tmpValue);//重新賦值
}
}
}
//以上為新增內容：處理導出excel時 年月帶小數點問題
}
}
最后提供完整的 OlapResultSetUtil.java文件
/*
* Copyright 2012 OSBI Ltd
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.saiku.olap.util;
import org.olap4j.CellSet;
import org.saiku.olap.dto.resultset.AbstractBaseCell;
import org.saiku.olap.dto.resultset.CellDataSet;
import org.saiku.olap.dto.resultset.Matrix;
import org.saiku.olap.util.formatter.HierarchicalCellSetFormatter;
import org.saiku.olap.util.formatter.ICellSetFormatter;
public class OlapResultSetUtil {
public static CellDataSet cellSet2Matrix( final CellSet cellSet ) {
final ICellSetFormatter formatter = new HierarchicalCellSetFormatter();
return cellSet2Matrix( cellSet, formatter );
}
public static CellDataSet cellSet2Matrix( final CellSet cellSet, ICellSetFormatter formatter ) {
if ( cellSet == null ) {
return new CellDataSet( 0, 0 );
}
final Matrix matrix = formatter.format( cellSet );
final CellDataSet cds = new CellDataSet( matrix.getMatrixWidth(), matrix.getMatrixHeight() );
int z = 0;
final AbstractBaseCell[][] bodyvalues =
new AbstractBaseCell[ matrix.getMatrixHeight() - matrix.getOffset() ]
[ matrix.getMatrixWidth() ];
for ( int y = matrix.getOffset(); y < matrix.getMatrixHeight(); y++ ) {
for ( int x = 0; x < matrix.getMatrixWidth(); x++ ) {
bodyvalues[ z ][ x ] = matrix.get( x, y );
}
z++;
}
cds.setCellSetBody( bodyvalues );
final AbstractBaseCell[][] headervalues =
new AbstractBaseCell[ matrix.getOffset() ][ matrix.getMatrixWidth() ];
for ( int y = 0; y < matrix.getOffset(); y++ ) {
for ( int x = 0; x < matrix.getMatrixWidth(); x++ ) {
headervalues[ y ][ x ] = matrix.get( x, y );
//以下為新增內容：處理導出excel時 年月帶小數點問題
if(headervalues[ y ][ x ] != null && headervalues[ y ][ x ].getRawValue() != null){
if( headervalues[ y ][ x ].getRawValue().startsWith("[年].[年]") || headervalues[ y ][ x ].getRawValue().startsWith("[月].[月]") ){
String tmpValue = headervalues[ y ][ x ].getFormattedValue();
if(tmpValue != null && tmpValue.indexOf(".")>-1){//判斷年 月結果是否帶小數點
tmpValue = tmpValue.substring(0, tmpValue.indexOf("."));//竊取小數點以前的數據
headervalues[ y ][ x ].setFormattedValue(tmpValue);//重新賦值
}
}
}
//以上為新增內容：處理導出excel時 年月帶小數點問題
}
}
cds.setCellSetHeaders( headervalues );
cds.setOffset( matrix.getOffset() );
return cds;
}
}
========二次更新，后台导出excel也有默认的小数点 2018.0问题处理=======20190605============end=======