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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.

Info
titleLearning More

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

Figure 1: SQL Chart Properties

...

NameDescription
SQL Query 

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

Info

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

Example 1:

Code Block
titleExample
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:

Code Block
titleSQL
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

Image Added

Image Added

Figure 4: SQL Chart Properties - UI

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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.

Info
titleExample

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.

Info
titleExample

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.

Code Block
<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>
Note

 This code does not work with OHLC and candlestick chart.