我试图将logstash输出设置为elasticsearch,但我不确定如何使用我在elasticsearch中定义的映射...
在Kibana,我这样做了:
创建了一个索引和映射,如下所示:
PUT /kafkajmx2
{
"mappings": {
"kafka_mbeans": {
"properties": {
"@timestamp": {
"type": "date"
},
"@version": {
"type": "integer"
},
"host": {
"type": "keyword"
},
"metric_path": {
"type": "text"
},
"type": {
"type": "keyword"
},
"path": {
"type": "text"
},
"metric_value_string": {
"type": "keyword"
},
"metric_value_number": {
"type": "float"
}
}
}
}
}
可以像这样写数据:
POST /kafkajmx2/kafka_mbeans
{
"metric_value_number":159.03478490788203,
"path":"/home/usrxxx/logstash-5.2.0/bin/jmxconf",
"@timestamp":"2017-02-12T23:08:40.934Z",
"@version":"1","host":"localhost",
"metric_path":"node1.kafka.server:type=BrokerTopicMetrics,name=TotalFetchRequestsPerSec.FifteenMinuteRate",
"type":null
}
现在我的logstash输出如下所示:
input {
kafka {
kafka details here
}
}
output {
elasticsearch {
hosts => "http://elasticsearch:9050"
index => "kafkajmx2"
}
}
它只是将它写入kafkajmx2
索引,但是当我在kibana中这样查询时它没有使用地图:
get /kafkajmx2/kafka_mbeans/_search?q=*
{
}
我得到了回复:
{
"_index": "kafkajmx2",
"_type": "logs",
"_id": "AVo34xF_j-lM6k7wBavd",
"_score": 1,
"_source": {
"@timestamp": "2017-02-13T14:31:53.337Z",
"@version": "1",
"message": """
{"metric_value_number":0,"path":"/home/usrxxx/logstash-5.2.0/bin/jmxconf","@timestamp":"2017-02-13T14:31:52.654Z","@version":"1","host":"localhost","metric_path":"node1.kafka.server:type=SessionExpireListener,name=ZooKeeperAuthFailuresPerSec.Count","type":null}
"""
}
}
如何告诉它在logstash输出中使用地图kafka_mbeans
?
- - - - - - - - 编辑
我尝试了这样的输出,但仍然得到了相同的结果:
output {
elasticsearch {
hosts => "http://10.204.93.209:9050"
index => "kafkajmx2"
template_name => "kafka_mbeans"
codec => plain {
format => "%{message}"
}
}
}
弹性搜索中的数据应如下所示:
{
"@timestamp": "2017-02-13T14:31:52.654Z",
"@version": "1",
"host": "localhost",
"metric_path": "node1.kafka.server:type=SessionExpireListener,name=ZooKeeperAuthFailuresPerSec.Count",
"metric_value_number": 0,
"path": "/home/usrxxx/logstash-5.2.0/bin/jmxconf",
"type": null
}
--------编辑2 --------------
我至少通过添加如下过滤器来解析json:
input {
kafka {
...kafka details....
}
}
filter {
json {
source => "message"
remove_field => ["message"]
}
}
output {
elasticsearch {
hosts => "http://node1:9050"
index => "kafkajmx2"
template_name => "kafka_mbeans"
}
}
它仍然没有使用模板,但这至少正确地解析了json ...所以现在我明白了:
{
"_index": "kafkajmx2",
"_type": "logs",
"_id": "AVo4a2Hzj-lM6k7wBcMS",
"_score": 1,
"_source": {
"metric_value_number": 0.9967205071482902,
"path": "/home/usrxxx/logstash-5.2.0/bin/jmxconf",
"@timestamp": "2017-02-13T16:54:16.701Z",
"@version": "1",
"host": "localhost",
"metric_path": "kafka1.kafka.network:type=SocketServer,name=NetworkProcessorAvgIdlePercent.Value",
"type": null
}
}
答案 0 :(得分:5)
您需要改变的是非常简单的。首先在json
输入中使用kafka
编解码器。无需json
过滤器,您可以将其删除。
kafka {
...kafka details....
codec => "json"
}
然后在您的elasticsearch
输出中,您错过了映射类型(下面的参数document_type
),这很重要,否则默认为logs
(如您所见)并且不会与您的kafka_mbeans
映射类型不匹配。此外,您实际上不需要使用模板,因为您的索引已经存在。进行以下修改:
elasticsearch {
hosts => "http://node1:9050"
index => "kafkajmx2"
document_type => "kafka_mbeans"
}
答案 1 :(得分:0)
这是在elasticsearch
输出上使用the template_name
parameter定义的。
elasticsearch {
hosts => "http://elasticsearch:9050"
index => "kafkajmx2"
template_name => "kafka_mbeans"
}
但是,有一个警告。如果要开始创建按时打包的索引(例如每周一个索引),则必须执行一些步骤以确保映射保持不变。你有几个选择:
kafkajmx2-*
template
parameter,它指定一个JSON文件,用于定义将与通过该输出创建的所有索引一起使用的映射。