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