Speed
7 Ways AsfJoin Can Speed Up Your Workflow
- Batch processing: Combine multiple small tasks into one AsfJoin operation to reduce overhead.
- Parallel execution: Use AsfJoin’s concurrency features to run jobs simultaneously where safe.
- Incremental updates: Only join changed records to avoid reprocessing entire datasets.
- Cached joins: Store frequent join results and refresh on a schedule to cut compute time.
- Schema alignment: Standardize column names and types beforehand so AsfJoin matches quickly.
- Predicate pushdown: Filter rows before joining to reduce input size and memory usage.
- Resource tuning: Adjust memory, shuffle partitions, and worker counts to match dataset size.
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