tototomate123
af0a1632c0
- Added documentation via mdbook - Created basic VS code extension - Implemented if else blocks and changed some syntax - fixed some issues
1.2 KiB
1.2 KiB
Data Pipeline
⚠️ This documentation is AI-generated and may contain errors.
Data processing pipeline showing how to process multiple batches in parallel.
Script
See /examples/data_pipeline.rsh in the repository.
#!/usr/bin/env rush
DATASET = "user_analytics"
INPUT_DIR = "$HOME/data/raw"
OUTPUT_DIR = "$HOME/data/processed"
BATCH_SIZE = "1000"
echo "Data Processing Pipeline: $DATASET"
# Pre-processing stages
for stage in validate clean normalize {
STAGE_UPPER = "$stage"
echo " Stage: $STAGE_UPPER"
}
# Process batches in parallel
BATCH_1_IN = "$INPUT_DIR/batch_001.csv"
BATCH_1_OUT = "$OUTPUT_DIR/batch_001.json"
# ... (define other batches)
parallel {
run {
echo "[batch_001] Processing $BATCH_1_IN -> $BATCH_1_OUT"
echo "[batch_001] Transformed 1000 records"
}
run {
echo "[batch_002] Processing $BATCH_2_IN -> $BATCH_2_OUT"
echo "[batch_002] Transformed 1000 records"
}
# ... (more batches)
}
echo "All batches processed successfully"
Key Concepts
- Parallel data processing: Process multiple batches simultaneously
- Path construction: Building input/output file paths
- Pipeline stages: Sequential setup, parallel processing, sequential summary