You reached the limit for dashboard run as the logged-in user

 In the context of Salesforce, here are the appropriate approach given:-

Optimization of queries

You should try to review and optimize the queries to reduce the number of dashboard runs required.

Caching mechanism

Try to implement a caching mechanism for the out of storing frequently accessed data temporarily.

Batch processing

If feasible, try to consider batch processing for large datasets instead of running the queries in real-time.

Schedule Refresh

You can schedule the dashboard refresh during off-peak hours or less frequently accessed times to avoid hitting the limit during high usage periods.

Review dashboard usage

You can analyze the dashboard usage patterns to identify any inefficient or resource-intensive Component.

Here is an example given in Python:-

Import pandas as pd

From sqlalchemy import create_engine

# Assume you have a database connection

Engine = create_engine(‘sqlite:///:memory:’)

# Example query that needs optimization

Query = “””

SELECT column1, column2, SUM(column3) as total

FROM table

WHERE date >= ‘2024-01-01’ AND date <= ‘2024-04-30’

GROUP BY column1, column2

“””

# Fetch data using the optimized query

Optimized_query = “””

SELECT column1, column2, SUM(column3) as total

FROM table

WHERE date >= ‘2024-01-01’ AND date <= ‘2024-04-30’

AND column1 IN (‘value1’, ‘value2’, ‘value3’)  -- Filter to specific values

GROUP BY column1, column2

“””

# Execute the optimized query

Df = pd.read_sql_query(optimized_query, engine)

# Further processing or visualization with the data

Print(df.head())

Here is the example given in java programming language:-

Import java.sql.Connection;

Import java.sql.DriverManager;

Import java.sql.PreparedStatement;

Import java.sql.ResultSet;

Import java.sql.SQLException;

Public class DashboardOptimization {

    Public static void main(String[] args) {

        Connection connection = null;

        PreparedStatement preparedStatement = null;

        ResultSet resultSet = null;

        Try {

            // Establish a connection to your database

            Connection = DriverManager.getConnection(“jdbc:mysql://localhost:3306/mydatabase”, “username”, “password”);

            // Example query that needs optimization

            String query = “SELECT column1, column2, SUM(column3) as total “ +

                           “FROM table “ +

                           “WHERE date >= ‘2024-01-01’ AND date <= ‘2024-04-30’ “ +

                           “GROUP BY column1, column2”;

            // Prepare the optimized query

            String optimizedQuery = “SELECT column1, column2, SUM(column3) as total “ +

                                    “FROM table “ +

                                    “WHERE date >= ‘2024-01-01’ AND date <= ‘2024-04-30’ “ +

                                    “AND column1 IN (‘value1’, ‘value2’, ‘value3’) “ +  // Filter to specific values

                                    “GROUP BY column1, column2”;

            // Execute the optimized query

            preparedStatement = connection.prepareStatement(optimizedQuery);

            resultSet = preparedStatement.executeQuery();

            // Process the result set

            While (resultSet.next()) {

                String column1 = resultSet.getString(“column1”);

                String column2 = resultSet.getString(“column2”);

                Double total = resultSet.getDouble(“total”);

                // Process the data or send it to the frontend for visualization

                System.out.println(“Column1: “ + column1 + “, Column2: “ + column2 + “, Total: “ + total);

            }

        } catch (SQLException e) {

            e.printStackTrace();

        } finally {

            // Close the resources

            Try {

                If (resultSet != null) resultSet.close();

                If (preparedStatement != null) preparedStatement.close();

                If (connection != null) connection.close();

            } catch (SQLException e) {

                e.printStackTrace();

            }

        }

    }

}

Here is the example of HTML:-

    <meta</span> charset=”UTF-8”>

    <meta</span> name=”viewport” content=”width=device-width, initial-scale=1.0”>

   

    [removed]

        // Assume you have a JavaScript function to fetch and display data

        Function fetchData() {

            // Make an AJAX request to fetch data from the server

            Const xhr = new XMLHttpRequest();

            Xhr.open(‘GET’, ‘fetch_data.php?startDate=2024-01-01&endDate=2024-04-30’, true);

            Xhr.onreadystatechange = function() {

                If (xhr.readyState === 4 && xhr.status === 200) {

                    Const data = JSON.parse(xhr.responseText);

                    processData(data);

                }

            };

            Xhr.send();

        }

        // Process the fetched data

        Function processData(data) {

            // Example processing and visualization code

            Const container = document.getElementById(‘dataContainer’);

            Container[removed] = ‘’; // Clear previous data

            Data.forEach(item => {

                Const div = document.createElement(‘div’);

                div.textContent = `Column1: ${item.column1}, Column2: ${item.column2}, Total: ${item.total}`;

                container.appendChild(div);

            });

        }

        // Call the fetchData function on page load

        [removed] = function() {

            fetchData();

        };

    [removed]

    Dashboard Optimization