How to Export a Certificate using the Certificate Export Wizard (Windows only)
How to Export a Certificate using the Certificate Export Wizard In Sisense version 7.2 and later, SSL (Secure Sockets Layer) settings have moved from Microsoft IIS into the Sisense Configuration Manager. For organizations moving to Sisense 7.2 and above from an earlier version that would like to continue using SSL, it is necessary to obtain the certificate to make SSL work. See the steps below to attempt to obtain the certificate from the server's certificate store if your organization previously had SSL set up on the Sisense web server. Organizations can also opt to contact their Certificate Authority (CA) to obtain an up-to-date copy of your site's .pfx or .crt and .key files. This explanation utilizes mmc (Microsoft Management Console) to export the certificate. On your webserver, search programs for mmc and select mmc.exe In the window that appears, click on "Add/Remove Snap-in..." In the "Available snap-ins" column, click on Certificates then click "Add >" to add it to the "Selected snap-ins" column In the resulting pop-up, select "Computer account" then click 'Next' Leave the settings as is on the next screen and click Finish Click on OK to add the Certificate snap-in On the left-hand side of the screen, expand Certificate (Local Computer) > Personal > Certificates Right-click on your certificate, go to All Tasks > Export The Certificate Export Wizard will appear which will assist you in exporting your organization's certificate to the appropriate format. Select the Next button. On the Export Private Key screen, select "Yes, export the private key". The private key is necessary for SSL to work in Sisense 7.2 and higher. Then select the Next button. On the Export File Format screen, select the Personal Information Exchange (.PFX) file option and hit the check boxes that correspond to the options below, then select the Next button. ☐ Include all certificates in the certification path if possible ☐ Export all extended properties ☐ Enable certificate privacy On the Security screen, select the Password checkbox and enter a password. Make sure the encryption setting is TripleDES-SHA1. Then select the Next button. Select the file location in which to save the exported certificate. Then select the Next Button. On the last screen select the Finish button to complete the setup. Complete the setup in this guide to set up SSL in Sisense.How To Find Your Sisense Version? (Windows only)
Question: How can I find the exact version and build of my Sisense environment? Solution: There are 3 easy ways to find the exact version of your environment: On the web application Open your Sisense web application On the top toolbar, click on the person icon. The version will be the last item on the menu which pops up: On the Desktop ECM Note: Not relevant for Sisense Linux Open the desktop Elasticube Manager Click the Help & How-To's button on the top scroll bar Click the About button The version will be here: On the web application Open dev tools - console (F12) Copy this and press enter: prism.version The version will be displayed as output:Analyze Period over Period - MoM / WoW / DoD
Analytical Need There are cases where we want to analyze our measures as a comparison between periods of time. For instance, ee want to know how did our measures behave on January this year vs. previous year. This means that we have to put down in our x axis the common period (Month, Week, Day). Modeling Challenge But when we select the time dimension as the x axis, it will show us a sequential order of it, like so : Image 1. dashboard without period over period We would like to see the day name / month name/ week no. (without the year). In order to do this, we will need to create it in advance in the cube. Solution In our dim date table, we will create a designated field for month name, day name, week #. SQL for the dim date table: SELECT DISTINCT s.OrderDate AS Date, CASE WHEN getMonth([OrderDate]) = 1 THEN '01Jan' WHEN getMonth([OrderDate]) = 2 THEN '02Feb' WHEN getMonth([OrderDate]) = 3 THEN '03Mar' WHEN getMonth([OrderDate]) = 4 THEN '04Apr' WHEN getMonth([OrderDate]) = 5 THEN '05May' WHEN getMonth([OrderDate]) = 6 THEN '06Jun' WHEN getMonth([OrderDate]) = 7 THEN '07Jul' WHEN getMonth([OrderDate]) = 8 THEN '08Aug' WHEN getMonth([OrderDate]) = 9 THEN '09Sep' WHEN getMonth([OrderDate]) = 10 THEN '10Oct' WHEN getMonth([OrderDate]) = 11 THEN '11Nov' WHEN getMonth([OrderDate]) = 12 THEN '12Dec' ELSE '' END AS OrderMonthWithNum, CASE WHEN DayOfWeek(OrderDate) = 1 THEN '01Sunday' WHEN DayOfWeek(OrderDate) = 2 THEN '02Monday' WHEN DayOfWeek(OrderDate) = 3 THEN '03Tuesday' WHEN DayOfWeek(OrderDate) = 4 THEN '04Wednesday' WHEN DayOfWeek(OrderDate) = 5 THEN '05Thursday' WHEN DayOfWeek(OrderDate) = 6 THEN '06Friday' WHEN DayOfWeek(OrderDate) = 7 THEN '07Saturday' ELSE '' END AS Day, WeekOfYear(s.OrderDate) AS Week FROM [SalesOrderHeader] s We will use the new fields as our x axis fields. The reason we have created the month & day fields with the number prefix, is in order for them to be sorted correctly in the dashboard (we used the Chart Label Order Changer plugin for that purpose). Dashboard: Image 2. Dashboard display of period over period Attachments - 71 KB - PeriodOverPeriod.dash - 536 KB - PoP.ecdataPerforming an OR between dashboard filters
Analytical Need A common requirement in data analysis is to be able select values from several filters and to see the results that contains all of those values and not only the results where only selected values appear. In fact, the requirement is to have an OR and not an AND between the filters. For example, I have 2 filters of country & product. I choose country "UK" and product "A": AND will get me results just for product "A" sold in the UK OR will get me results for all the products sold in the UK or all the countries that product "A" has been sold in. Challenge The default behaviour of the filters in a dashboard is AND. We need to find a way to turn this into an OR. Solution We will use the filtered measure plugin to display the OR result. This add-on is pre-installed on Sisense in Linux environments and its version could be different. The download link is for Sisense on Windows. Our data: When we select product A and country UK we don't want to see the second record (B, Greece), but we do want to see all the rest. Dashboard filters: In order to get the desired result we will define the following formula: (sum([value]),[@Country])+(sum([value]),[@Product]) The @ sign means that this part of the formula refers only to the mentioned dashboard filter. The + sign is actually a sum between the values. However, this is only getting us half way, since for the records that contain both UK and product A - we will get the amount doubled like so: We need to divide these result by the amount of filter values the record is associated to. In this case, we need to divide the first row by 2 (because we have UK & A) and the rest by 1 (we have either UK or A). In order to achieve this calculation we will need to use this formula: (([# of unique Country],[@Country])+ ([# of unique Product],[@Product])) So the final formula will be the division between the 2: ((sum([value]), [@Country]) + (sum([value]), [@Product])) / (([# of unique Country], [@Country])+ ([# of unique Product], [@Product])) Now the results are correct: In case you have more than 2 filters, you'll need to add more calculations to the nominator & the denominator. Note: the rest of the dashboard filters that don't participate in the formulas will behave with the normal AND functionality. Cube Detailed calculations The default behavior (no filter measure)Filtering Optimization and Many-to-Many Avoidance
Sisense V7.0 introduces a new mechanism to optimize and enhance the performance of all filters, as well as the ability to detect and avoid scenarios that caused Many-to-Many conditions. These scenarios, also referred as Filter-by-Fact, are created when a filter is selected from a table that has a non-distinct relation towards another and possibly from a variety of schemes. However, in all cases, the issue (prior to V7.0) is seen when one applies a specific filter and the resulting values increase instead of decrease. Below are some prototype examples based on the common Northwind and AdventureWorks sample databases. Example 1: Northwind, filtering from a Many-to-1 direction: In the scenario above, the trivial relations are going from the employee and product dimensions towards the Order and Order Details tables. It is important to note though, that the Order detail has non-distinct (a 'Many') relation with the 'Orders' headers table. Following that, here is a simple Pivot with measures from both [OrderDetails].[Quantity] and [Orders].[Freight], without a filter: However, upon activating a filter from the Product table, the query path is duplicating each ProductID per multiple OrderIDs in the OrderDetails table. This Rresults in an increase in the 'Freight' measure, instead of a decrease like the 'Quantity' measure has: In Sisense V7.0, the issue is now resolved: Example 2: 'Adventure Works', Filter from one Fact to another, going through a Many-to-Many relationship: In the pivot, 'PerAssemblyQty' is aggregated by the 'BOM Level', both fields are from the 'BillOfMaterials' table (and actually the Product table is not used anywhere in the query) When OrderQTY filter was applied from the other Fact table, WorkOrder, the results were incorrect with 'BOM Level' = 3 even higher than it was before filtering. This happens since the filter is joined directly from one fact table to another, by the productId Many-to-Many relationship. In Sisense V6.7, the numbers are correct: Summary Sisense now provides you with the flexibility and confidence of creating analytics without securing the filters and their query paths to be distinct in the ElastiCube model. This ability is extremely useful in complex models which involve key tables and inherent M-2-M hierarchies (list of users who are both 'parents' and 'children' among themselves). Cases that used to take a great amount of modeling and machine resources can now be designed easily and use a fraction of the memory and query resolution time. It is important to note that we continue to advise to always check and challenge your end results when working and designing new business questions. A great effort was invested in making this feature stable, correct and efficient. If for any reason you believe this new ability hurts your existing analytics or degrade performance, please contact our technical support consultants at your earliest so we can look into the issue.
Customizing a Pivot 1.0 Widget
Introduction The following document provides code snippets for customizing a Pivot 1.0 widget Table of Contents How to Use This Page? To implement the customizations on this page you’ll have to be familiar with the following: Basic JavaScript and JQuery Widget Lifecycle How to add a widget script Widget Customizations The easy way to reference cells is by referencing their class type or ID via JQuery: All headers are identified using unique class names The table contents (data cells) are referenced by a table object (identified using a special ID) The following section introduces the different table structures and classes used for pivot charts Layout #1 - Single Row, Single Value, No Columns This layout includes the following configuration: The user has defined a single row (Months) The user defines a single value (Sum Revenue) Participating classes are as follows: Cell Category Object Reference “Row Label Column Header” cell (“Months in Date”) A class of a <td> object td.p-dim-head “Value Label Column Header” cell (“Total Revenue”) A class of a <td> object td.p-grand-total-head “Phantom Column Header” cell (fake header column at the right-side) A class of a <td> object td.phantom “Row Label Row Headers” cell (month names) A class of a <td> object td.p-dim-member “Grand Total Row Header” cell (“Total Revenue”) A class of a <td> object td.p-grand-total-row-head Data cells (holding the revenue values) An object with an ID #pivot_ Layout #2 - Single Row, Multiple Values, No Columns This layout includes the following configuration: The user has defined a single row (Months) The user defines two values (Sum Revenue & Sum Quantity) Participating classes are as follows: Cell Category Object Reference “Row Label Column Header” cell (“Months in Date”) A class of a <td> object td.p-dim-head “Value Label Column Header” cells (“Total Revenue” & “Total Quantity“) A class of a <td> object td.p-grand-total-head “Phantom Column Header” cell (fake header column at the right-side) A class of a <td> object td.phantom “Row Label Row Headers” cell (month names) A class of a <td> object td.p-dim-member “Grand Total Row Header” cell (“Grand Total”) A class of a <td> object td.p-grand-total-row-head Data cells (holding the revenue values) An object with an ID #pivot_ Layout #3 - Multiple Rows, Single Value, No Columns This layout includes the following configuration: The user has defined multiple rows (Quarters & Months) The user defines a value (Sum Revenue) Participating classes are as follows: Cell Category Object Reference “Row Label Column Header” cells (“Quarters in Date” & “Months in Date”) A class of a <td> object td.p-dim-head “Value Label Column Header” cell (“Total Revenue“) A class of a <td> object td.p-grand-total-head “Phantom Column Header” cell (fake header column at the right-side) A class of a <td> object td.phantom “Row Label Row Headers” cell (month and quarter names) A class of a <td> object td.p-dim-member “Sub-Total Row Header” cell (“2009 Q4 Total”, “2010 Q1 Total”, etc.) A class of a <td> object td.p-total-row-head “Grand Total Row Header” cell (“Total Revenue”) A class of a <td> object td.p-grand-total-row-head Data cells (holding the revenue values) An object with an ID #pivot_ Layout #4 - Multiple Rows, Multiple Values, No Columns This layout includes the following configuration: The user has defined multiple rows (Quarters & Months) The user defines two values (Sum Revenue & Sum Quantity) Participating classes are as follows: Cell Category Object Reference “Row Label Column Header” cells (“Quarters in Date” & “Months in Date”) A class of a <td> object td.p-dim-head “Value Label Column Header” cells (“Total Revenue” & “Total Quantity“) A class of a <td> object td.p-grand-total-head “Phantom Column Header” cell (fake header column at the right-side) A class of a <td> object td.phantom “Row Label Row Headers” cell (month and quarter names) A class of a <td> object td.p-dim-member “Sub-Total Row Header” cell (“2009 Q4 Total”, “2010 Q1 Total”, etc.) A class of a <td> object td.p-total-row-head “Grand Total Row Header” cell (“Grand Total”) A class of a <td> object td.p-grand-total-row-head Data cells (holding the revenue values) An object with an ID #pivot_ Layout #5 - Single Row, Single Value, Single Column This layout includes the following configuration: The user has defined a single row (Months) The user defines a single value (Sum Revenue) The user defines a single column (Age Range) Participating classes are as follows: Cell Category Object Reference “Fake Row Label Column Header” cell (Empty cell above “Months in Date”) A class of a <td> object td.p-fake-dim-head “Row Label Column Header” cell (“Months in Date”) A class of a <td> object td.p-dim-head “Fake Value Label Column Header” cell (“Total Revenue”) A class of a <td> object td.p-fake-measure-head “Column Label Column Header” cell (“19-24” & “25-34“) A class of a <td> object td.p-measure-head “Grand Total Column Header” cell (“Grand Total”) A class of a <td> object td.p-grand-total-head “Phantom Column Header” cell (fake header column at the right-side) A class of a <td> object td.phantom “Row Label Row Headers” cell (month names) A class of a <td> object td.p-dim-member “Grand Total Row Header” cell (“Grand Total”) A class of a <td> object td.p-grand-total-row-head Data cells (holding the revenue values) An object with an ID #pivot_ Layout #6 - Multiple Rows, Single Value, Single Column This layout includes the following configuration: The user has defined multiple rows (Quarters & Months) The user defines a single value (Sum Revenue) The user defines a single column (Age Range) Participating classes are as follows: Cell Category Object Reference “Fake Row Label Column Header” cell (Empty cell above “Months in Date”) A class of a <td> object td.p-fake-dim-head “Row Label Column Header” cells (“Quarters in Date” & “Months in Date”) A class of a <td> object td.p-dim-head “Fake Value Label Column Header” cell (“Total Revenue”) A class of a <td> object td.p-fake-measure-head “Column Label Column Header” cells (“19-24” & “25-34“) A class of a <td> object td.p-measure-head “Grand Total Column Header” cell (“Grand Total”) A class of a <td> object td.p-grand-total-head “Phantom Column Header” cell (fake header column at the right-side) A class of a <td> object td.phantom “Row Label Row Headers” cell (month and quarter names) A class of a <td> object td.p-dim-member “Sub-Total Row Header” cell (“2009 Q4 Total”, “2010 Q1 Total”, etc.) A class of a <td> object td.p-total-row-head “Grand Total Row Header” cell (“Grand Total”) A class of a <td> object td.p-grand-total-row-head Data cells (holding the revenue values) An object with an ID #pivot_ Layout #7 - Single Row, Multiple Values, Single Column This layout includes the following configuration: The user has defined a single row (Months) The user defines multiple values (Sum Revenue & Sum Quantity) The user defines a single column (Age Range) Participating classes are as follows: Cell Category Object Reference “Row Label Column Header” cell (“Months in Date”) A class of a <td> object td.p-dim-head “Column Label Column Header” cells (“19-24” & “25-34“) A class of a <td> object td.p-dim-member-head Individual “Column Value Header” cells (“Total Revenue” & “Total Quantity“) A class of a <td> object td.p-measure-head Global “Grand Total Column Header” cells (“Total Revenue” & “Total Quantity“) A class of a <td> object td.p-grand-total-head “Phantom Column Header” cell (fake header column at the right-side) A class of a <td> object td.phantom “Row Label Row Headers” cell (month and quarter names) A class of a <td> object td.p-dim-member “Grand Total Row Header” cell (“Grand Total”) A class of a <td> object td.p-grand-total-row-head Data cells (holding the revenue values) An object with an ID #pivot_ Layout #8 - Multiple Rows, Multiple Values, Single Column This layout includes the following configuration: The user has defined multiple rows (Quarters & Months) The user defines multiple values (Sum Revenue & Sum Quantity) The user defines a single column (Age Range) Participating classes are as follows: Cell Category Object Reference “Row Label Column Header” cells (“Quarters in Date” & “Months in Date”) A class of a <td> object td.p-dim-head “Column Label Column Header” cells (“19-24” & “25-34“) A class of a <td> object td.p-dim-member-head Individual “Column Value Header” cells (“Total Revenue” & “Total Quantity“) A class of a <td> object td.p-measure-head Global “Grand Total Column Header” cells (“Total Revenue” & “Total Quantity“) A class of a <td> object td.p-grand-total-head “Phantom Column Header” cell (fake header column at the right-side) A class of a <td> object td.phantom “Row Label Row Headers” cell (month and quarter names) A class of a <td> object td.p-dim-member “Sub-Total Row Header” cells (“2009 Q4 Total”, “2010 Q1 Total”, etc.) A class of a <td> object td.p-total-row-head “Grand Total Row Header” cell (“Grand Total”) A class of a <td> object td.p-grand-total-row-head Data cells (holding the revenue values) An object with an ID #pivot_ Layout #9 - Single Row, Single Value, Multiple Columns This layout includes the following configuration: The user has defined a single row (Months) The user defines a single value (Sum Revenue) The user defines multiple columns (Age Range & Brand ID) Participating classes are as follows: Cell Category Object Reference “Fake Row Label Column Header” cell (Empty cell above “Months in Date”) A class of a <td> object td.p-fake-dim-head “Row Label Column Header” cell (“Months in Date”) A class of a <td> object td.p-dim-head “Fake Value Label Column Header” cell (“Total Revenue”) A class of a <td> object td.p-fake-measure-head “Column Label Column Header” cells (“19-24” & “25-34“) and (“2” & “3”) A class of a <td> object td.p-dim-member-head Individual “Grand Total Column Header” cell (“19-24 Total“ & “25-34 Total”) A class of a <td> object td.p-total-head Global “Grand Total Column Header” cell (“Grand Total“) A class of a <td> object td.p-grand-total-head “Phantom Column Header” cell (fake header column at the right-side) A class of a <td> object td.phantom “Row Label Row Headers” cell (month names) A class of a <td> object td.p-dim-member “Grand Total Row Header” cell (“Grand Total”) A class of a <td> object td.p-grand-total-row-head Data cells (holding the revenue values) An object with an ID #pivot_ Layout #10 - Single Row, Multiple Values, Multiple Columns This layout includes the following configuration: The user has defined a single row (Months) The user defines multiple values (Sum Revenue & Sum Quantity) The user defines multiple columns (Age Range & Brand ID) Participating classes are as follows: Cell Category Object Reference “Row Label Column Header” cell (“Months in Date”) A class of a <td> object td.p-dim-head “Column Label Column Header” cells (“19-24” & “25-34“) and (“2” & “3”) A class of a <td> object td.p-dim-member-head “Value Label Column Header” cell (“Total Revenue” & “Total Quantity“) A class of a <td> object td.p-measure-head Individual “Grand Total Column Header” cell (“19-24 Total“ & “25-34 Total”) & (“Total Revenue” & “Total Quantity“) A class of a <td> object td.p-total-head Global “Grand Total Column Header” cells (“Total Revenue” & “Total Quantity“) A class of a <td> object td.p-grand-total-head “Phantom Column Header” cell (fake header column at the right-side) A class of a <td> object td.phantom “Row Label Row Headers” cell (month names) A class of a <td> object td.p-dim-member “Grand Total Row Header” cell (“Grand Total”) A class of a <td> object td.p-grand-total-row-head Data cells (holding the revenue values) An object with an ID #pivot_ Layout #11 - Multiple Rows, Single Value, Multiple Columns This layout includes the following configuration: The user has defined multiple rows (Quarters & Months) The user defines a single value (Sum Revenue) The user defines multiple columns (Age Range & Brand ID) Participating classes are as follows: Cell Category Object Reference “Fake Row Label Column Header” cell (Empty cell above “Months in Date”) A class of a <td> object td.p-fake-dim-head “Row Label Column Header” cells (“Quarters in Date” & “Months in Date”) A class of a <td> object td.p-dim-head “Fake Value Label Column Header” cell (“Total Revenue”) A class of a <td> object td.p-fake-measure-head “Column Label Column Header” cells (“19-24” & “25-34“) and (“2” & “3”) A class of a <td> object td.p-dim-member-head Individual “Grand Total Column Header” cell (“19-24 Total“ & “25-34 Total”) A class of a <td> object td.p-total-head Global “Grand Total Column Header” cells (“Total Revenue” & “Total Quantity“) A class of a <td> object td.p-grand-total-head “Phantom Column Header” cell (fake header column at the right-side) A class of a <td> object td.phantom “Row Label Row Headers” cells (quarter and month names) A class of a <td> object td.p-dim-member “Sub-Total Row Header” cells (“2009 Q4 Total”, “2010 Q1 Total”, etc.) A class of a <td> object td.p-total-row-head “Grand Total Row Header” cell (“Grand Total”) A class of a <td> object td.p-grand-total-row-head Data cells (holding the revenue values) An object with an ID #pivot_ Manipulating the Table Structure Table Alignment The table is aligned to the left-hand side of the screen by default. To align the table to the right-hand or the left-hand sides we’ll first have to get rid of the “fake” phantom column. Before After To align the table location use the following snippet: // This script aligns the table to the center of the widget function getWidgetDocumentObject(widget) { // This function determines the document object context (different when in a widget-view or a dashboard-view mode) if (prism.activeWidget == null) return document.querySelector('[widgetid="' + widget.oid + '"]'); else return document; } widget.on('domready', function(widget) { // Remove the phantom column and cells $('td.phantom',element).remove(); // Center the table doc = getWidgetDocumentObject(widget); doc.querySelector('.p-container').style.display='block'; doc.querySelector('.p-container').style.marginLeft='auto'; doc.querySelector('.p-container').style.marginRight='auto'; doc.querySelector('.p-container').style.width='fit-content'; }); Manipulating the Header Cells Aligning Text To align headers' cell text alignment use the following snippet: (note - Change the JQuery element name to align with the correct header you wish to format) // This script modifies the “Row Label Column Header” cells' alignment widget.on('domready', function(widget) { $('td.p-dim-head',element).css('text-align','center'); // Horizontal $('td.p-dim-head',element).css('vertical-align','middle'); // Vertical }); Changing the Caption of the “Grand Total” Header To replace the default text of “Grand Total” use the following snippet: // This script replaces the header of the "Grand Total" row header to "Total" function getWidgetDocumentObject(widget) { // This function determines the document object context (different when in a widget-view or a dashboard-view mode) if (prism.activeWidget == null) return document.querySelector('[widgetid="' + widget.oid + '"]'); else return document; } widget.on('domready', function(widget) { doc.querySelector('td.p-grand-total-row-head').querySelector('div.p-head-content').innerText = "Total" }); Manipulating the Data Cells Aligning Text To align all data cells' text alignment use the following snippet: // This script modifies the data cells' alignment widget.on('domready', function(widget) { $('td.p-value',element).css('text-align','center'); // Horizontal $('td.p-value',element).css('vertical-align','middle'); // Vertical }); Replacing the Contents of (All) Empty Cells To replace the blank space in the empty cells using the following snippet: // This script modifies the contents of blank data cells to '-' // Note - A blank cell contents are the character '\xa0' function getWidgetDocumentObject(widget) { // This function determines the document object context (different when in a widget-view or a dashboard-view mode) if (prism.activeWidget == null) return document.querySelector('[widgetid="' + widget.oid + '"]'); else return document; } widget.on('domready', function(widget) { // Replace blank cells doc.querySelectorAll('div.p-value').forEach((element) => { if (typeof element === "object" && element.innerText == '\xa0') element.innerText = '-' }); }); Modifying the Contents of Cells From Specific Columns Color Based on "Top-Level Header" Cells The term “Top-Level Header Cells” refers to one of the following: If the table has no columns - “Value” headers If the table has one column - “Column” headers If the table has multiple columns - Not covered The following snippet colors the cells under a Top-Level Header named 'No': // This script colors the cells under a Top-Level Header called 'No' function getWidgetDocumentObject(widget) { // This function determines the document object context (different when in a widget-view or a dashboard-view mode) if (prism.activeWidget == null) return document.querySelector('[widgetid="' + widget.oid + '"]'); else return document; } widget.on('domready', function(widget) { // Define the column title columnToColorValue = 'No' widgetDoc = getWidgetDocumentObject(widget); // Calculate the amount of columns in the table dimColumns = widgetDoc.querySelector('div.p-fixed-corner').getElementsByClassName('p-dim-head').length; // Calculate the amount of "Values" in every "Column" measureColumns = widgetDoc.querySelector('div.p-fixed-corner').getElementsByClassName('p-measure-head').length; // Scan all columns in the header row for (let i = 0; i < widgetDoc.querySelector('div.p-fixed-corner').getElementsByClassName('p-dim-member-head').length; i++) { // Retrieve the <i>'th column in the table col = widgetDoc.querySelector('div.p-fixed-corner').getElementsByClassName('p-dim-member-head')[i]; // Check if column should be colored red shouldColorRed = (col.innerText === columnToColorValue); // Check the column's width (as it might contain multiple sub-columns (values) underneath it columnWidth = col.getAttribute('colspan'); if (columnWidth === null) columnWidth = 1; // If it contains a single column there's no colspan attribute // For every value column for (let j = 0; j < columnWidth; j++) { // Calculate offset from end of table (this value changes in different rows) colOffset = measureColumns - ((i * columnWidth) + j); // Extract the table structure rows = getWidgetDocumentObject(widget).querySelector('#pivot_').rows; // Iterate through all data cell rows for(let r = 1; r < rows.length; r++) { cells = rows[r].cells; rowCellCount = Object.values(cells).length; cellToHandle = rowCellCount - colOffset; if (cells[cellToHandle].getElementsByClassName('p-value').length > 0) { cellToManipulate = cells[cellToHandle].querySelector('.p-value'); if (shouldColorRed) cellToManipulate.style.color = 'red' } } } } }); Alter Text Based on "Bottom-Level Header" Cells The term “Bottom-Level Header Cells” refers to one of the following: If the table has one column - “Value” headers (applies to the “Value” column in each “Column”) If the table has multiple columns - Not covered The following snippet alters the text of cells under a Bottom-Level Header named 'No': This script alters the text of cells under a Top-Level Header called 'Average Cost' (changes empty cells to '---'): // This script alters the text of cells under a Bottom-Level Header called 'Average Cost' // Note - A blank cell contents are the character '\xa0' function getWidgetDocumentObject(widget) { // This function determines the document object context (different when in a widget-view or a dashboard-view mode) if (prism.activeWidget == null) return document.querySelector('[widgetid="' + widget.oid + '"]'); else return document; } widget.on('domready', function(widget) { // Define the column title, old text, and new text columnToFixText = 'Average Cost' originalText = '\xa0' newText = '---' widgetDoc = getWidgetDocumentObject(widget); // Calculate the amount of columns in the table dimColumns = widgetDoc.querySelector('div.p-fixed-corner').getElementsByClassName('p-dim-head').length; // Calculate the amount of "Values" in every "Column" measureColumns = widgetDoc.querySelector('div.p-fixed-corner').getElementsByClassName('p-measure-head').length; // Scan all columns in the header row for (let i = 0; i < widgetDoc.querySelector('div.p-fixed-corner').getElementsByClassName('p-dim-member-head').length; i++) { // Retrieve the <i>'th column in the table col = widgetDoc.querySelector('div.p-fixed-corner').getElementsByClassName('p-dim-member-head')[i]; // Check the column's width (as it might contain multiple sub-columns (values) underneath it columnWidth = col.getAttribute('colspan'); if (columnWidth === null) columnWidth = 1; // If it contains a single column there's no colspan attribute // console.log('found column ' + i + ' width = ' + columnWidth + ' that fits the condition'); // For every "Value" for (let j = 0; j < columnWidth; j++) { // Calculate offset from end of table (this value changes in different rows) colOffset = measureColumns - ((i * columnWidth) + j); // Extract the table structure rows = widgetDoc.querySelector('#pivot_').rows; // Iterate through all rows shouldFixText = false; for(let r = 1; r < rows.length; r++) { cells = rows[r].cells; rowCellCount = Object.values(cells).length; cellToHandle = rowCellCount - colOffset; if (cells[cellToHandle].getElementsByClassName('p-head-content').length > 0 && cells[cellToHandle].querySelector('.p-head-content').innerText === columnToFixText) shouldFixText = true; if (cells[cellToHandle].getElementsByClassName('p-value').length > 0) { cellToManipulate = cells[cellToHandle].querySelector('.p-value'); if (shouldMakeBold) cellToManipulate.style.fontWeight = 'bold'; if (shouldFixText && cellToManipulate.innerText === originalText) cellToManipulate.innerText = newText; } } } } });Customize Slack Pulse Notifications
In some cases, we'd like to be able to customize the Slack notification footer to include our own company name. By default, Sisense sends the alert with the footer "Sisense Alerts" as can be seen in the screenshot below: How do I customize the footer? In version 7.2 and above, open %ProgramFiles%\Sisense\app\galaxy-service\src\features\alerts\eventSubscriptions\actionCenter.js line 102: sendToSlack(user, alert, event) { var message = this.getNotificationData(alert, event, user).message; var data = { 'username' : 'Sisense', 'attachments': [ { 'fallback': message, 'color': '#ffcb05', 'text': message, 'footer': 'Sisense Alerts',<------------ CHANGE FOOTER HERE 'mrkdwn_in': ['text', 'pretext'] } ] }; .... Then restart Sisense.Galaxy service.Custom Dashboard URL in an Email Report
When sending a dashboard as an email report, by default the email will link to the dashboard on Sisense web. In some cases, customers want to have the link point to a different location. For instance, customers using SSO would want the link to point to their own portal rather than Sisense web. Follow the steps below to link your dashboard to a desired location: On your server, go to: C:\Program Files\Sisense\PrismWeb\vnext\src\features\emails\templates\dashboard_report Locate the html.ejs file Backup your original html.js file Open the file and replace the href value with the desired URL. Here are 2 different examples: Link the dashboard to a known page: <a name='dashboard' href='www.yahoo.com' target='_blank'> <img src='cid:<%= images[i] %>' id="<%= images[i] %>" name="<%= images[i] %>" /> </a> If you don’t want the dashboard link to any page, leave the href value blank: <a name='dashboard' href='' target='_blank'> <img src='cid:<%= images[i] %>' id="<%= images[i] %>" name="<%= images[i] %>" /> </a>
