Agent skill
parallel-batch-executor-4-progress-tracking
Sub-skill of parallel-batch-executor: 4. Progress Tracking (+2).
Install this agent skill to your Project
npx add-skill https://github.com/vamseeachanta/workspace-hub/tree/main/.claude/skills/_core/bash/parallel-batch-executor/4-progress-tracking
SKILL.md
4. Progress Tracking (+2)
4. Progress Tracking
Track progress during parallel execution:
#!/bin/bash
# ABOUTME: Parallel execution with progress tracking
# ABOUTME: Shows real-time progress and summary statistics
PARALLEL="${PARALLEL:-5}"
PROGRESS_FILE=$(mktemp)
TOTAL=0
SUCCESS=0
FAILED=0
# Initialize progress file
echo "0" > "$PROGRESS_FILE"
# Track progress atomically
track_progress() {
local status="$1"
local item="$2"
# Use flock for atomic updates
(
flock -x 200
local current=$(cat "$PROGRESS_FILE")
echo $((current + 1)) > "$PROGRESS_FILE"
if [[ "$status" == "success" ]]; then
echo "S" >> "${PROGRESS_FILE}.status"
else
echo "F" >> "${PROGRESS_FILE}.status"
fi
) 200>"${PROGRESS_FILE}.lock"
}
process_with_tracking() {
local items=("$@")
local total=${#items[@]}
echo "Processing $total items with $PARALLEL workers..."
echo ""
printf '%s\n' "${items[@]}" | xargs -I {} -P "$PARALLEL" bash -c "
item=\"{}\"
# Process item
if process_item \"\$item\" 2>/dev/null; then
echo \"success \$item\"
else
echo \"failed \$item\"
fi
" | while read status item; do
track_progress "$status" "$item"
local current=$(cat "$PROGRESS_FILE")
local pct=$((current * 100 / total))
# Update progress line
printf \"\\r[%3d%%] Processed %d/%d items\" \$pct \$current \$total
done
echo ""
echo "Complete!"
# Show summary
local success=$(grep -c "S" "${PROGRESS_FILE}.status" 2>/dev/null || echo 0)
local failed=$(grep -c "F" "${PROGRESS_FILE}.status" 2>/dev/null || echo 0)
echo "Success: $success, Failed: $failed"
# Cleanup
rm -f "$PROGRESS_FILE" "${PROGRESS_FILE}.lock" "${PROGRESS_FILE}.status"
}
5. Error Collection
Collect and report errors from parallel execution:
#!/bin/bash
# ABOUTME: Parallel execution with centralized error collection
# ABOUTME: Aggregates errors for reporting after batch completion
ERROR_LOG=$(mktemp)
SUCCESS_LOG=$(mktemp)
cleanup() {
rm -f "$ERROR_LOG" "$SUCCESS_LOG"
}
trap cleanup EXIT
parallel_with_errors() {
local command="$1"
shift
local items=("$@")
printf '%s\n' "${items[@]}" | xargs -I {} -P "$PARALLEL" bash -c "
item=\"{}\"
output=\$($command \"\$item\" 2>&1)
exit_code=\$?
if [[ \$exit_code -eq 0 ]]; then
echo \"\$item\" >> \"$SUCCESS_LOG\"
else
echo \"\$item: \$output\" >> \"$ERROR_LOG\"
fi
"
# Report results
local success_count=$(wc -l < "$SUCCESS_LOG" 2>/dev/null || echo 0)
local error_count=$(wc -l < "$ERROR_LOG" 2>/dev/null || echo 0)
echo ""
echo "Results: $success_count succeeded, $error_count failed"
if [[ $error_count -gt 0 ]]; then
echo ""
echo "Errors:"
cat "$ERROR_LOG" | while read line; do
echo " ✗ $line"
done
return 1
fi
return 0
}
6. GNU Parallel Alternative
For more advanced parallelism:
#!/bin/bash
# ABOUTME: Advanced parallel execution using GNU Parallel
# ABOUTME: Provides job control, logging, and resume capabilities
# Check for GNU Parallel
if command -v parallel &> /dev/null; then
USE_GNU_PARALLEL=true
else
USE_GNU_PARALLEL=false
fi
parallel_execute() {
local command="$1"
local jobs="${2:-5}"
if [[ "$USE_GNU_PARALLEL" == true ]]; then
# GNU Parallel with job log
parallel --jobs "$jobs" \
--joblog /tmp/parallel_joblog.txt \
--bar \
"$command" {}
else
# Fallback to xargs
xargs -I {} -P "$jobs" bash -c "$command \"{}\""
fi
}
# Usage
cat files.txt | parallel_execute "process_file" 10
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