Efficiently Handling DataTables in UiPath Studio

[chethan.dinnupati (Chethan Kumar DS)]

Hello UiPath community,

I’m working extensively with DataTables in UiPath Studio, and I want to optimize the performance and efficiency of my workflows. Are there any practical tips or activities for efficiently handling DataTables, especially in scenarios involving data manipulation and transformation?

[vrdabberu (Varunraj Dabberu)]

Hi @chethan.dinnupati

For working on data tables you can use invoke code and also linq queries so that this will reduce the execution time.

Regards

[AutomationX_by_Kiran]

Hi @chethan.dinnupati ,

Efficiently handling DataTables in UiPath Studio involves practical strategies:

1. Use Filter DataTable Activity: Leverage the “Filter DataTable” activity to efficiently extract subsets of data based on specified conditions.

Filter DataTable
{
   Input DataTable: OriginalDataTable
   Condition: "Column1 = 'Value'"
   Output DataTable: FilteredDataTable
}

2. Optimize Loops with Parallel Processing: For large DataTables, consider breaking down data processing tasks and using parallel processing to enhance performance.

Parallel For Each
{
   // Process data in parallel
}

3. Batch Processing: Implement batch processing to handle DataTables in smaller chunks, especially when dealing with large datasets.

Assign
{
   BatchSize = 100
}

4. Use Column Expressions: Leverage column expressions to perform operations directly on DataTable columns, reducing the need for iterative processing.

Assign
{
   TotalAmount = OriginalDataTable.Compute("SUM(Amount)", "")
}

5. Dispose of Unused DataTables: Release memory by disposing of DataTables that are no longer needed using the "Dispose

Cheers !