In this meeting, the State Changers discuss a challenge of synchronizing a large file from the government with their database. The file is 77 megabytes with half a million records. They discuss using the Convert API to extract the file and load it into Xano. However, they encounter memory problems when trying to split the file using the CSV decoder. To overcome this, they suggest parallelizing the process by creating an API endpoint in Xano and sending chunks of data to it. They explain how this technique can help avoid memory limitations. They also discuss setting up parameters and headers for the API request. Additionally, they mention the importance of clearing the data after it has been processed. Overall, they find this approach beneficial for handling large datasets and express gratitude for the guidance provided in the meeting.
(Source: Office Hours 3/6 )
