SQL Chart equips you with another medium of reporting by using charts. You are given the flexibility of defining your own SQL query to determine the charts that you would like to generate, ranging from a number of graph types.

Learning More

Download the tutorial app on SQL Charts from Joget Workflow Marketplace to learn more.

Figure 1: SQL Chart Properties

NameDescription
Custom ID

Item link slug. Optional field.

Unique field

Value defined here must be unique to the rest of the Userview Menus as the first matching name will be called upon.

LabelMenu label. Mandatory field.
Chart Type
  • Area Chart
  • Bar Chart
  • Bubble Chart
  • Candlestick Chart
  • Donut Chart
  • Line Chart
  • Open High Low Close Chart (OHLC Chart)
  • Pie Chart
  • XY Chart
Chart TitleChart Title to be displayed part of the generated graph.

Figure 2: SQL Chart Properties - Chart Options

NameDescription
X-axis Label 
X-axis Label 
X-axis display as
  • Category
  • Number
  • Date
Y-axis Label 
Y-axis Label 
Y-axis Prefix
Y-axis Prefix
Show Legend?
If checked, legend will be shown in the generated graph.
Show Value Label in Chart?
If checked, value label will be shown in the generated graph.
Width 

Width in character.

Example
100%
Height 

Height in character.

Example
300px
Colors

Series color. Optional field.

Comma separated values (CSV) of color codes.

Example:

Example
 #3333FF,#66FF00,#FF9933,#990000

Example
red,orange,yellow,green,blue,indigo

What are the default colors?

http://stackoverflow.com/questions/18332440/what-are-the-jqplot-default-series-colors

Figure 3: SQL Chart Properties - SQL

NameDescription
SQL Query 

SQL Query to produce the dataset required for the graph type.

The first column in the dataset will be assumed for X-axis/label.

Example 1:

Example
SELECT c_status as 'status', COUNT(c_status) as 'count' FROM app_fd_tix_tickets WHERE c_status IS NOT NULL GROUP BY c_status

Example 2:

SQL
select c.c_claimant, sum( cast( replace(c.c_total,'$', '') as decimal(10,2)) ) as 'total', avg( cast( replace(c.c_total,'$', '') as decimal(10,2)) ) as 'avg' from app_fd_hr_expense_claim c group by c.c_claimant

Figure 4: SQL Chart Properties - UI

NameDescription
Custom HeaderCustom Header in HTML.
Custom FooterCustom Footer in HTML.

Figure 5: SQL Chart Properties - Advanced

NameDescription
Datasource
  • Default Datasource
  • Custom Datasource
If the default datasource is selected, the custom JDBC settings below will be ignored.
Userview Key Name

When defined, additional condition will be appended using the value defined here as the parameter and the userview key value as the value.

Example

SQL: SELECT category, count(category) FROM table1

Userview Key Name: type

Userview Key Value: val

Resultant SQL:  SELECT category, count(category) FROM table1 WHERE type = 'val'

When userview key value is defined, you may define #userviewKey# in your SQL query to have it replaced with the userview key value.

Example

SQL: SELECT category, count(category) FROM table1 WHERE type = '#userviewKey#'

Userview Key Value: val

Resultant SQL:  SELECT category, count(category) FROM table1 WHERE type = 'val'

Interactive Chart

The following code can be modified and put in "Custom Footer" for interactive Chart.

<script>
$(document).ready(function(){
    $('#jq_plot_chart').bind('jqplotDataClick',
        function (event, seriesIndex, pointIndex, data) {   
            console.log(event);
            console.log(seriesIndex);
            console.log(pointIndex);
            console.log(data);
            
            //for chart which used legend and x-axis, 
            var xaxis = $(".jqplot-xaxis-tick:eq("+pointIndex+")");
            var series = $(".jqplot-table-legend-label:eq("+seriesIndex+")");
            
            console.log("x-axis :" + xaxis.text());
            console.log("series :" + series.text());
        }
    );
 
    //for double click event. Please note the arguments are different.
    $('#jq_plot_chart').bind('jqplotDblClick',
        function (event, coordinate, points, data) {   
            console.log(event);
            console.log(coordinate);
            console.log(points);
            console.log(data);

            if (data) {
                var xaxis = $(".jqplot-xaxis-tick:eq("+data.pointIndex+")");
                var series = $(".jqplot-table-legend-label:eq("+data.seriesIndex+")");

                console.log("values :" + data.data);
                console.log("x-axis :" + xaxis.text());
                console.log("series :" + series.text());
            }
        }
    );
});
</script>

 This code does not work with OHLC and candlestick chart.

 

 

 

 

  • No labels