Question

我想在Elasticsearch中导入文本文件。文本文件每行包含3个值。经过几个小时的挣扎，我没有完成它。非常感谢帮助。

安装了Logstash的Elasticsearch 5.4.0。

示例数据：

username email hash
username email hash
username email hash
username email hash
username email hash

还构建了一个python脚本，但它太慢了：

import requests
import json
from elasticsearch import Elasticsearch
es = Elasticsearch([{'host': 'localhost', 'port': 9200}])

i = 1
with open("my2") as fileobject:
    for line in fileobject:
        username, email, hash = line.strip('\n').split(' ')
        body = {"username": username, "email": email, "password": hash}
        es.index(index='dbs', doc_type='db1', id=i, body=body)
        i += 1

编辑：感谢它的工作，但我想我的过滤器很糟糕，因为我希望它看起来像这样：

    {
  "_index": "logstash-2017.06.01",
  "_type": "db",
  "_id": "AVxinqK5XRvft8kN7Q6M",
  "_version": 1,
  "_score": null,
  "_source": {
    "username": "Marlb0ro",
    "email": "Marlb0ro@site.com",
    "hash": "123456",
}

它把这样的数据放在：

    {
  "_index": "logstash-2017.06.01",
  "_type": "logs",
  "_id": "AVxinqK5XRvft8kN7Q6M",
  "_version": 1,
  "_score": null,
  "_source": {
    "path": "C:/Users/user/Desktop/user/log.txt",
    "@timestamp": "2017-06-01T07:46:22.488Z",
    "@version": "1",
    "host": "DESKTOP-FNGSJ6C",
    "message": "username email password",
    "tags": [
      "_grokparsefailure"
    ]
  },
  "fields": {
    "@timestamp": [
      1496303182488
    ]
  },
  "sort": [
    1496303182488
  ]
}

Answer 1

只需将其放在名为grok.conf的文件中：

input {
        file {
                path => "/path/to/your/file.log"
                start_position => beginning
                sincedb_path => "/dev/null"
        }
}
filter {
        grok {
                match => {"message" => "%{WORD:username} %{WORD:email} %{WORD:hash}" }
        }
}
output {
        elasticsearch {
                hosts => ["localhost:9200"]
        }
}

然后使用bin/logstash -f grok.conf运行Logstash，你应该没问题。

logstash索引一个文本文件

1 个答案: