Perform multiple searches, using each record in a file as the search term against the index.
Notice
The index must be loaded before starting the batch search. Batch search works best when the batch dataset has similar mappings as the index.
Select Batch Search 
in the Global Navigation Bar.
Upload New Batch to select the file with your evaluation data, a dataset of records similar to the index records.
Assign fields types to columns.
Next
The batch search will run automatically. The most recent results are displayed.
To run a different dataset, Upload New Batch.
To see the results from another set, click on the box in the Evaluation Data list on the left.
Tip
By following a few simple guidelines, you can get the best performance for Batch Search.
Elasticsearch (ES) restricts parallel searches to a maximum of 1000, so you should limit data sets to 1000 records at a time. Lower numbers will get faster results. You can process a larger data set, but it will take a much longer time to process.
For best performance, use Rosette Match Studio locally. A server instance will increase the task time because of communication between the server and the client browser.
To easily review and analyze the results from large evaluation sets, export the results.
For each value in the batch file, Batch Search displays the search term from the file. To see the matching records from the index, click on the plus sign next to a name.
Select Export to download a .csv file with the match results for each record in the evaluation set.