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regex - 使用 awk 和 sed 进行日志解析

问题描述

我有

2019-11-14T09:42:14.150Z  INFO ActivityEventRecovery-1 ActivityCacheManager - - [nsx@6876 comp="nsx-manager" level="INFO" subcomp="manager"] Handling activity 0082bc26-70a6-433e-a470-
2019-11-14T09:43:08.097Z  INFO L2HostConfigTaskExecutor2 TransportNodeAsyncServiceImpl - FABRIC [nsx@6876 comp="nsx-manager" level="INFO" subcomp="manager"] Calling uplinkTeamingChangeListener.onTransportNodeUpdated on TN 72f73c66-da37-11e9-8d68-005056bce6a5 revision 5
2019-11-14T09:43:08.104Z  INFO L2HostConfigTaskExecutor2 Publisher - ROUTING [nsx@6876 comp="nsx-manager" level="INFO" subcomp="manager"] Refresh mac address of Logical router port connected with VLAN LS for logical router LogicalRouter/f672164b-40cf-461f-9c8d-66fe1e7f8c19
2019-11-14T09:43:08.105Z  INFO L2HostConfigTaskExecutor2 GlobalActivityRepository - - [nsx@6876 comp="nsx-manager" level="INFO" subcomp="manager"] Submitted activity 73e7a942-73d2-4967-85fa-7d9d6cc6042b in QUEUED state with dependency null exclusivity true and requestId null and time taken by dao.create is 1 ms

我想将这些日志解析为 json 对象。到目前为止，我一直在使用 python 正则表达式并将其放入字典中。

    currentDict = {
                               "@timestamp" : regexp.group(1),
                               "Severity" : regexp.group(2),
                               "Thread" : regexp.group(3),
                               "Class" : regexp.group(4),
                               "Message-id" : regexp.group(5),
                               "Component" : regexp.group(6),
                               "Message" : regexp.group(7),
                               "id's" : re.findall(x[1], regexp.group(7))
                        }

但这种方式非常慢，即 200mb 文件需要 5-10 分钟。

我使用的 Python 正则表达式 -(\d\d\d\d-\d\d-\d\dT\d\d:\d\d:\d\d.\d\d\dZ)\s+(INFO|WARN|DEBUG|ERROR|FATAL|TRACE)\s+(.*?)\s+(.*?)\s+\-\s+(.*?)\s+(?:(\[?.*?\])?)\s(.*)

预期输出 -

{"@timestamp" : "2019-11-14T09:42:14.150Z", "Sevirity" : "INFO", "Thread" : "ActivityEventRecovery-1", "Class" : "ActivityCacheManager - -", "Component" : "[nsx@6876 comp="nsx-manager" level="INFO" subcomp="manager"]", "Message" : "Handling activity 0082bc26-70a6-433e-a470-"}
{"@timestamp" : "2019-11-14T09:43:08.097Z", "Sevirity" : "INFO", "Thread" : "L2HostConfigTaskExecutor2", "Class" : "TransportNodeAsyncServiceImpl - FABRIC", "Component" : "[nsx@6876 comp="nsx-manager" level="INFO" subcomp="manager"]", "Message" : "Calling uplinkTeamingChangeListener.onTransportNodeUpdated on TN 72f73c66-da37-11e9-8d68-005056bce6a5 revision 5}"}
{"@timestamp" : "2019-11-14T09:43:08.104Z", "Sevirity" : "INFO", Thread : "L2HostConfigTaskExecutor2", "Class" : "Publisher - ROUTING", "Component" : "[nsx@6876 comp="nsx-manager" level="INFO" subcomp="manager"]", Message : "Refresh mac address of Logical router port connected with VLAN LS for logical router LogicalRouter/f672164b-40cf-461f-9c8d-66fe1e7f8c19}"}
{"@timestamp" : "2019-11-14T09:43:08.105Z", "Sevirity" : "INFO", "Thread" :  "L2HostConfigTaskExecutor2", "Class" :   "GlobalActivityRepository", "Component" : "[nsx@6876 comp="nsx-manager" level="INFO" subcomp="manager"]", "Messages" : "Submitted activity 73e7a942-73d2-4967-85fa-7d9d6cc6042b in QUEUED state with dependency null exclusivity true and requestId null and time taken by dao.create is 1 ms"}}

在互联网上，我发现使用 awk 和 sed 可以更快地完成。我对此了解不多。如何使用awkand进行解析sed。

请帮忙！

标签： regexbashloggingawksed

解决方案

# For timestamp
cut -d " " -f 1 in > temp
sed -i -e 's/^/{"@timestamp" : "/' temp
awk 'NF{print $0 "\", "}' temp > a

# For Severity ...

# For Thread ...

# For Class
cut -d " " -f 5,6,7 in > temp
sed -i -e 's/^/"Class" : "/' temp
awk 'NF{print $0 "\", "}' temp > d

# For Component
grep -o -P '(?<=\[).*(?=\])' in > temp
sed -i -e 's/^/"Component" : \["/' temp
awk 'NF{print $0 "\"], "}' temp > e

# For Message ...

# Merge all files line by line
paste -d " " a b c d e f

我将简短地解释这个脚本的一些内容，cut 用于将单词放在两个空格之间。Sed 将文本添加到每行的开头。awk 正在将文本添加到每行的末尾。

我离开了严重性、线程和消息部分，因为它们与其他部分相同。该脚本相当简单，但如果不知道如何使用工具本身，您将无法理解它，因为您说您不了解它们。

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