Batch search performs multiple searches in a single task, using each record in a file as the query value against the index.
The index must be loaded before starting the batch search. Batch search works best when the batch dataset has similar mappings as the index.
Upload Query Data to select the file with your query data, a dataset of records similar to the index records.
Assign fields types to columns.
The batch search will run automatically. The most recent results are displayed.
To run a different dataset, select Upload New Batch to start a new batch search.
To see the results from another set, click on the box in the Query Data list on the left.
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.
To easily review and analyze the results, 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.