用awk在命令行处理分析日志

Posted 2020-12-23 hiyang

日志分析

1. 时间戳格式化

awk -F‘	‘ ‘{ts_high=$3/10000000;ts_low=$3%10000000;sub(/.*/,strftime("%Y-%m-%d %H:%M:%S",ts_high)"."ts_low,$3);sub(/.*/, $NF/10"us", $NF)}1‘ OFS=‘	‘ xxx.log

这条日志中含有 时间戳（非15位），百纳秒，可读性不高

REQ	Sx3	15905362187438714	GET	/	{"Accept-Encoding":"gzip","Host":"xxx","IP":"xxx","User-Agent":"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (Khtml, like Gecko) Chrome/72.0.3626.119 Safari/537.36","X-Forwarded-For":"111.7.100.18","X-Real-Ip":"xxx","X-Scheme":"http","bs":0}		400	{"Content-Type":"application/xml","Tbl":"pipeline","X-Log":["redis.g;redis.g;"],"X-Reqid":"ACIAAHcmn5BDuBIW","api":"ListObjects"}	<Error><Code>MissingSecurityElement</Code><Message>The request is missing a security element.</Message><Resource>/pipeline</Resource><RequestId>ACIAAHcmn5BDuBIW</RequestId></Error>	180	69429

使用上面的命令处理后

REQ	Sx3	2020-05-27 07:36:58.7438714	GET	/	{"Accept-Encoding":"gzip","Host":"xxx","IP":"xxx","User-Agent":"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/72.0.3626.119 Safari/537.36","X-Forwarded-For":"111.7.100.18","X-Real-Ip":"xxx","X-Scheme":"http","bs":0}		400	{"Content-Type":"application/xml","Tbl":"pipeline","X-Log":["redis.g;redis.g;"],"X-Reqid":"ACIAAHcmn5BDuBIW","api":"ListObjects"}	<Error><Code>MissingSecurityElement</Code><Message>The request is missing a security element.</Message><Resource>/pipeline</Resource><RequestId>ACIAAHcmn5BDuBIW</RequestId></Error>	180	6942.9us

2. nginx日志分析

# 统计ip访问量top10
cat access.log | awk ‘{print $1}‘ | sort | uniq -c | sort -rn | head

# 截取指定时间段的ip访问量top10
cat access.log | grep "27/May/2020:15" | awk ‘{print $1}‘ | sort | uniq -c | sort -rn | head

# 过滤访问量大于100的ip的top10
cat access.log | awk ‘{print $1}‘ | sort | uniq -c | awk ‘{if($1 >100) print $0}‘ | sort -rn | head

# 过滤某个api排行top10
awk ‘{print $7}‘ access.log | sort |uniq -c | sort -rn | head

# 过滤某个ip访问指定api的top10
grep ‘106.12.17.243‘ access.log |awk ‘{print $7}‘|sort |uniq -c |sort -rn |head -n 100

awk ‘{print $4}‘ access.log | cut -c 2-21 | sort | uniq -c | sort -nr | head -n 10 # 每秒钟统计
awk ‘{print $4}‘ access.log | cut -c 2-18 | sort | uniq -c | sort -nr | head -n 10 # 每分钟统计
awk ‘{print $4}‘ access.log | cut -c 2-15 | sort | uniq -c | sort -nr | head -n 10 # 每小时统计