Big data import process

Big data import process:

1. Stream Data Line-by-Line: Read the file line-by-line to keep memory usage low.

2. Batch into Groups of 1,000: Accumulate rows into batches of 1,000 for efficient bulk inserts/updates.

3. Queue Each Batch for Processing: Dispatch each batch to a job queue, enabling asynchronous processing and distributing the load.

4. Use Transactions for Data Consistency: Wrap database operations in a transaction within each job to ensure that either all rows are processed or none, preserving data integrity.

5. Execute Multiple Jobs Concurrently: Configure Laravel’s queue workers to process multiple jobs in parallel, speeding up the import process.
   

Thank you