Efficient data handling is crucial for event organizers, particularly when dealing with large datasets. We are excited to announce an update designed to improve how Grip handles large data integrations, ensuring a smoother and more efficient experience for organizers.
The Challenge of Large Data Sets
When running an integration for the first time, all available records are retrieved. However, some data sources do not support filtering records in specific ways. As a result, every time an integration is run, all record types are retrieved, regardless of what the organizer needs. This can lead to several issues:
- Lengthy Processing Times: Thousands of records can be returned to Grip, taking a long time to process.
- Incomplete Retrievals: Grip will retrieve as many records as the data source permits in a single run, but there may be more records that are not retrieved, requiring multiple runs to get all the data.
- Integration Failures: If too many records are retrieved, the process may time out before completion.
Striving Towards Integration Excellence
Our latest update enables Grip to handle very large datasets more effectively through several key improvements:
- Automatic Repeated Calls: Grip will automatically call the data source repeatedly if it detects more available records than have been retrieved.
- Parallel Processing: Additional runs will be processed in parallel, speeding up large data imports.
- Timeout Prevention: Multiple overlapping runs will be created to prevent timeouts.
Boosting Performance
This enhancement ensures that organizers shouldn't notice a difference in normal use, but will find that they only need to run an integration once, even when dealing with very large amounts of data. Processing times for large datasets will be significantly reduced, providing a smoother and more efficient integration experience for you - and a faster, more reliable event data access for your participants!