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# Log parsing with rawk
# This demonstrates processing common log formats like Apache, syslog, etc.
# Function to parse Apache log entries
$parse_apache_log = (ip, date, method, url, status, bytes, referer, user_agent) -> {
if (status >= 400) {
return "ERROR: " status " - " method " " url " from " ip
} else if (status >= 300) {
return "REDIRECT: " status " - " method " " url " from " ip
} else {
return "SUCCESS: " status " - " method " " url " (" bytes " bytes)"
}
};
# Function to parse syslog entries
$parse_syslog = (timestamp, host, program, message) -> {
if (index(message, "error") > 0 || index(message, "ERROR") > 0) {
return "ERROR: " program " - " message
} else if (index(message, "warning") > 0 || index(message, "WARNING") > 0) {
return "WARNING: " program " - " message
} else {
return "INFO: " program " - " message
}
};
# Function to categorize requests
$categorize_request = (method, url, status) -> {
if (method == "GET" && index(url, ".jpg") > 0) {
return "IMAGE_REQUEST"
} else if (method == "POST") {
return "FORM_SUBMISSION"
} else if (method == "GET" && index(url, ".css") > 0) {
return "STYLESHEET"
} else if (method == "GET" && index(url, ".js") > 0) {
return "JAVASCRIPT"
} else {
return "PAGE_REQUEST"
}
};
# Function to calculate request statistics
$calculate_request_stats = (data, result, i, total, count, errors, redirects) -> {
total = 0
count = 0
errors = 0
redirects = 0
for (i in data) {
total++
if (data[i] >= 400) {
errors++
} else if (data[i] >= 300) {
redirects++
}
}
result["total"] = total
result["errors"] = errors
result["redirects"] = redirects
result["success_rate"] = total > 0 ? ((total - errors - redirects) / total) * 100 : 0
return total
};
BEGIN {
print "=== Log Parser Report ==="
print ""
}
# Process Apache log entries (simplified format)
/^[0-9]+\.[0-9]+\.[0-9]+\.[0-9]+/ {
ip = $1
date = $4 " " $5
method = $6
url = $7
status = $9
bytes = $10
result = parse_apache_log(ip, date, method, url, status, bytes, "", "")
print "APACHE: " result
# Store for statistics
request_count++
status_codes[request_count] = status
request_types[request_count] = categorize_request(method, url, status)
}
# Process syslog entries
/^[A-Z][a-z]{2} [0-9]+ [0-9:]+/ {
timestamp = $1 " " $2 " " $3
host = $4
program = substr($5, 1, length($5) - 1) # Remove trailing colon
message = substr($0, index($0, $6))
result = parse_syslog(timestamp, host, program, message)
print "SYSLOG: " result
# Store for statistics
log_count++
log_programs[log_count] = program
}
END {
print ""
print "=== Request Statistics ==="
if (request_count > 0) {
calculate_request_stats(status_codes, request_stats)
print "Total requests: " request_stats["total"]
print "Error rate: " request_stats["errors"] " (" (request_stats["errors"] / request_stats["total"] * 100) "%)"
print "Success rate: " request_stats["success_rate"] "%"
print "Redirects: " request_stats["redirects"]
}
print ""
print "=== Request Types ==="
for (i = 1; i <= request_count; i++) {
type = request_types[i]
type_count[type]++
}
for (type in type_count) {
print type ": " type_count[type] " requests"
}
print ""
print "=== Log Sources ==="
for (i = 1; i <= log_count; i++) {
program = log_programs[i]
program_count[program]++
}
for (program in program_count) {
print program ": " program_count[program] " entries"
}
print ""
print "=== Report Complete ==="
}
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