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process-substitution-fifos

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Process substitution, named pipes (FIFOs), and advanced IPC patterns for efficient bash data streaming (2025). PROACTIVELY activate for: (1) using process substitution with <(cmd) and >(cmd), (2) creating named pipes (mkfifo) for inter-process streaming, (3) avoiding intermediate temp files in pipelines, (4) tee-ing into multiple consumers, (5) feeding diff/comm with command output, (6) building shell-only producers and consumers, (7) reading from a FIFO with timeout, (8) signal-safe FIFO cleanup. Provides: process substitution patterns, mkfifo recipes, multi-consumer tee patterns, and signal-safe cleanup with trap.

General

What this skill does


## CRITICAL GUIDELINES

### Windows File Path Requirements

**MANDATORY: Always Use Backslashes on Windows for File Paths**

When using Edit or Write tools on Windows, you MUST use backslashes (`\`) in file paths, NOT forward slashes (`/`).

---

# Process Substitution & FIFOs (2025)

## Overview

Master advanced inter-process communication patterns in bash using process substitution, named pipes (FIFOs), and efficient data streaming techniques. These patterns enable powerful data pipelines without temporary files.

## Process Substitution Basics

### Input Process Substitution `<(command)`

```bash
#!/usr/bin/env bash
set -euo pipefail

# Compare two command outputs
diff <(sort file1.txt) <(sort file2.txt)

# Compare remote and local files
diff <(ssh server 'cat /etc/config') /etc/config

# Merge sorted files
sort -m <(sort file1.txt) <(sort file2.txt) <(sort file3.txt)

# Read from multiple sources simultaneously
paste <(cut -f1 data.tsv) <(cut -f3 data.tsv)

# Feed command output to programs expecting files
# Many programs require filename arguments, not stdin
wc -l <(grep "error" *.log)

# Process API response with tool expecting file
jq '.items[]' <(curl -s "https://api.example.com/data")

# Source environment from command output
source <(aws configure export-credentials --format env)

# Feed to while loop without subshell issues
while IFS= read -r line; do
    ((count++))
    process "$line"
done < <(find . -name "*.txt")
echo "Processed $count files"  # Variable survives!
```

### Output Process Substitution `>(command)`

```bash
#!/usr/bin/env bash
set -euo pipefail

# Write to multiple destinations simultaneously (tee alternative)
echo "Log message" | tee >(logger -t myapp) >(mail -s "Alert" [email protected])

# Compress and checksum in one pass
tar cf - /data | tee >(gzip > backup.tar.gz) >(sha256sum > backup.sha256)

# Send output to multiple processors
generate_data | tee >(processor1 > result1.txt) >(processor2 > result2.txt) > /dev/null

# Log and process simultaneously
./build.sh 2>&1 | tee >(grep -i error > errors.log) >(grep -i warning > warnings.log)

# Real-time filtering with multiple outputs
tail -f /var/log/syslog | tee \
    >(grep --line-buffered "ERROR" >> errors.log) \
    >(grep --line-buffered "WARNING" >> warnings.log) \
    >(grep --line-buffered "CRITICAL" | mail -s "Critical Alert" [email protected])
```

### Combining Input and Output Substitution

```bash
#!/usr/bin/env bash
set -euo pipefail

# Transform and compare
diff <(sort input.txt | uniq) <(sort reference.txt | uniq)

# Pipeline with multiple branches
cat data.csv | tee \
    >(awk -F, '{print $1}' > column1.txt) \
    >(awk -F, '{print $2}' > column2.txt) \
    | wc -l

# Complex data flow
process_data() {
    local input="$1"

    # Read from process substitution, write to multiple outputs
    while IFS= read -r line; do
        echo "$line" | tee \
            >(echo "LOG: $line" >> "$log_file") \
            >(process_line "$line" >> results.txt)
    done < <(cat "$input" | filter_input)
}
```

## Named Pipes (FIFOs)

### Creating and Using FIFOs

```bash
#!/usr/bin/env bash
set -euo pipefail

# Create FIFO
mkfifo my_pipe

# Clean up on exit
trap 'rm -f my_pipe' EXIT

# Writer (in background or separate terminal)
echo "Hello from writer" > my_pipe &

# Reader (blocks until data available)
cat < my_pipe

# With timeout (using read)
if read -t 5 line < my_pipe; then
    echo "Received: $line"
else
    echo "Timeout waiting for data"
fi
```

### Bidirectional Communication

```bash
#!/usr/bin/env bash
set -euo pipefail

# Create two FIFOs for bidirectional communication
REQUEST_PIPE="/tmp/request_$$"
RESPONSE_PIPE="/tmp/response_$$"

mkfifo "$REQUEST_PIPE" "$RESPONSE_PIPE"
trap 'rm -f "$REQUEST_PIPE" "$RESPONSE_PIPE"' EXIT

# Server process
server() {
    while true; do
        if read -r request < "$REQUEST_PIPE"; then
            case "$request" in
                "QUIT")
                    echo "BYE" > "$RESPONSE_PIPE"
                    break
                    ;;
                "TIME")
                    date > "$RESPONSE_PIPE"
                    ;;
                "UPTIME")
                    uptime > "$RESPONSE_PIPE"
                    ;;
                *)
                    echo "UNKNOWN: $request" > "$RESPONSE_PIPE"
                    ;;
            esac
        fi
    done
}

# Client function
send_request() {
    local request="$1"
    echo "$request" > "$REQUEST_PIPE"
    cat < "$RESPONSE_PIPE"
}

# Start server in background
server &
SERVER_PID=$!

# Send requests
send_request "TIME"
send_request "UPTIME"
send_request "QUIT"

wait "$SERVER_PID"
```

### Producer-Consumer Pattern

```bash
#!/usr/bin/env bash
set -euo pipefail

WORK_QUEUE="/tmp/work_queue_$$"
mkfifo "$WORK_QUEUE"
trap 'rm -f "$WORK_QUEUE"' EXIT

# Producer
producer() {
    local item
    for item in {1..100}; do
        echo "TASK:$item"
    done
    echo "DONE"
}

# Consumer (can have multiple)
consumer() {
    local id="$1"
    while read -r item; do
        [[ "$item" == "DONE" ]] && break
        echo "Consumer $id processing: $item"
        sleep 0.1  # Simulate work
    done
}

# Start consumers (they'll block waiting for data)
consumer 1 < "$WORK_QUEUE" &
consumer 2 < "$WORK_QUEUE" &
consumer 3 < "$WORK_QUEUE" &

# Start producer
producer > "$WORK_QUEUE"

wait
echo "All work complete"
```

### FIFO with File Descriptors

```bash
#!/usr/bin/env bash
set -euo pipefail

FIFO="/tmp/fd_fifo_$$"
mkfifo "$FIFO"
trap 'rm -f "$FIFO"' EXIT

# Open FIFO for read/write on FD 3
# Opening for both prevents blocking on open
exec 3<>"$FIFO"

# Write to FIFO via FD
echo "Message 1" >&3
echo "Message 2" >&3

# Read from FIFO via FD
read -r msg1 <&3
read -r msg2 <&3
echo "Got: $msg1, $msg2"

# Close FD
exec 3>&-
```

## Coprocess (Bash 4+)

### Basic Coprocess Usage

```bash
#!/usr/bin/env bash
set -euo pipefail

# Start coprocess (bidirectional pipe)
coproc BC { bc -l; }

# Send data to coprocess
echo "scale=10; 355/113" >&"${BC[1]}"

# Read result
read -r result <&"${BC[0]}"
echo "Pi approximation: $result"

# More calculations
echo "sqrt(2)" >&"${BC[1]}"
read -r sqrt2 <&"${BC[0]}"
echo "Square root of 2: $sqrt2"

# Close write end to signal EOF
exec {BC[1]}>&-

# Wait for coprocess to finish
wait "$BC_PID"
```

### Named Coprocess

```bash
#!/usr/bin/env bash
set -euo pipefail

# Named coprocess for Python interpreter
coproc PYTHON { python3 -u -c "
import sys
for line in sys.stdin:
    exec(line.strip())
"; }

# Send Python commands
echo "print('Hello from Python')" >&"${PYTHON[1]}"
read -r output <&"${PYTHON[0]}"
echo "Python said: $output"

echo "print(2**100)" >&"${PYTHON[1]}"
read -r big_num <&"${PYTHON[0]}"
echo "2^100 = $big_num"

# Cleanup
exec {PYTHON[1]}>&-
wait "$PYTHON_PID" 2>/dev/null || true
```

### Coprocess Pool Pattern

```bash
#!/usr/bin/env bash
set -euo pipefail

# Create pool of worker coprocesses
declare -A WORKERS
declare -A WORKER_PIDS

start_workers() {
    local count="$1"
    local i

    for ((i=0; i<count; i++)); do
        # Each worker runs a processing loop
        coproc "WORKER_$i" {
            while IFS= read -r task; do
                [[ "$task" == "QUIT" ]] && exit 0
                # Simulate work
                sleep 0.1
                echo "DONE:$task"
            done
        }

        # Store FDs dynamically
        local -n write_fd="WORKER_${i}[1]"
        local -n read_fd="WORKER_${i}[0]"
        local -n pid="WORKER_${i}_PID"

        WORKERS["$i,in"]="$write_fd"
        WORKERS["$i,out"]="$read_fd"
        WORKER_PIDS["$i"]="$pid"
    done
}

# Note: Coprocess pool management is complex
# Consider GNU Parallel for production workloads
```

## Advanced Process Substitution / FIFO Patterns

Detailed recipes for multi-source comparison, tee-style stream splitting, process-substitution-driven diffing, streaming transforms, temporary FIFOs, and cleanup-heavy pipeline compositions live in `references/advanced-patterns.md`. Load 

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