我正在尝试摄取json fileformat后生成的库存数据。
{
"_meta":{
"hostvars":{
"host1":{
"foreman":{
"architecture_id":1,
"architecture_name":"x86_64",
"capabilities":[
"build"
],
"certname":"host1",
"comment":"this is hostname1",
"created_at":"2017-03-08T15:27:11Z",
"disk":"10gb",
"domain_id":5,
},
"foreman_facts":{
"boardmanufacturer":"Intel Corporation",
"boardproductname":"440BX Desktop Reference Platform",
"ipaddress":"1.1.1.1",
"ipaddress_eth0":"1.1.1.2",
"ipaddress_lo":"127.0.0.1",
},
"foreman_params":{
}
},
"host2":{
"foreman":{
"architecture_id":1,
"architecture_name":"x86_64",
"capabilities":[
"build"
],
"certname":"host2",
"comment":"this hostname2",
"created_at":"2017-03-08T15:27:11Z",
"disk":"20gb",
"domain_id":5,
},
"foreman_facts":{
"boardmanufacturer":"Intel Corporation",
"boardproductname":"440BX Desktop Reference Platform",
"ipaddress":"2.1.1.1",
"ipaddress_eth0":"2.2.2.2",
"ipaddress_lo":"127.0.0.1",
},
"foreman_params":{
}
},
"foreman_all":[
"host3",
"host4",
],
"foreman_environment: [
"computer1",
"computer2"
],
使用以下代码管理以在ElasticSeach中获取数据。
文件节拍配置:
multiline.pattern: '^{'
multiline.negate: true
multiline.match: after
output.logstash:
# The Logstash hosts
hosts: ["localhost:5044"]
Logstash:
input {
beats {
port => "5044"
}
}
output {
elasticsearch {
hosts => [ "10.1.7.5:9200" ]
index => "inventory-%{+YYYY-MM-dd}"
}
stdout {}
}
但是我注意到filebeat将整个json文件视为一条消息。想知道如果我可以打破消息并仅发送 hostvars 部分并根据每个主机名索引文档,并忽略 foreman_all 和 foreman_environment 来自上述json数据的字段。以上是样本数据,我必须摄取大约10万条记录,所以要确保我在网络上尽可能少地发送数据。
我想在Elasticsearch中以下列格式摄取数据。想知道是否有人可以建议使用最好的配置。
弹性文档ID 1
computer name : "host1"
"architecture_id": 1,
"architecture_name": "x86_64",
"capabilities": ["build"],
"Company hardware name": "host1",
"comment": "this is hostname1",
"created_at": "2017-03-08T15:27:11Z",
"disk": "10gb",
"domain_id": 5,
"foreman_facts": {
"boardmanufacturer": "Intel Corporation",
"boardproductname": "440BX Desktop Reference Platform",
"ipaddress": "1.1.1.1",
"ipaddress_eth0": "1.1.1.2",
"ipaddress_lo": "127.0.0.1",
弹性文档ID 2
"computer name"" : "host2"
"architecture_id": 1,
"architecture_name": "x86_64",
"capabilities": ["build"],
"certname": "host2",
"comment": "this hostname2",
"created_at": "2017-03-08T15:27:11Z",
"disk": "20gb",
"domain_id": 5,
"boardmanufacturer": "Intel Corporation",
"boardproductname": "440BX Desktop Reference Platform",
"ipaddress": "2.1.1.1",
"ipaddress_eth0": "2.2.2.2",
"ipaddress_lo": "127.0.0.1",
答案 0 :(得分:0)
首先你应该在filebeat.yml中设置document_type
,如下所示:
filebeat:
prospectors:
- input_type: log
paths:
- "/home/ubuntu/data/test.json"
document_type: json
json.message_key: log
json.keys_under_root: true
json.overwrite_keys: true
看看这可能有所帮助:https://www.elastic.co/blog/structured-logging-filebeat
然后你可以在logstash中获取json值并将它们设置为新字段(在logstash.conf中配置):
json {
source => "parameter"
target => "parameterData"
remove_field => "parameter"
}
文献:https://www.elastic.co/guide/en/logstash/current/plugins-filters-json.html
std_in
和std_out
进行测试。答案 1 :(得分:0)
我根据您的建议使用了下面的配置,并看到下面提到的enter image description here的Json错误消息。看起来像filbeat单独发送每一行,如果我使用如下所述的多行选项,那么我看到Filebeat和logstash将整个json文件作为一条消息发送。这就是我想要根据上面提到的主机名来打破消息。
filebeat.prospectors:
- type: log
# Change to true to enable this prospector configuration.
enabled: true
# Paths that should be crawled and fetched. Glob based paths.
paths:
- /opt/uploaddata/*.json
#- c:\programdata\elasticsearch\logs\*
### JSON configuration
document_type: json
json.message_key: log
json.keys_under_root: true
json.overwrite_keys: true
#json.add_error_key: false
output.logstash:
# The Logstash hosts
hosts: ["localhost:5044"]
#=========================== Logstash =============================
input {
beats {
port => "5044"
}
}
filter {
json
{
source => "parameter"
target => "parameterData"
remove_field => "parameter"
}
}
output {
elasticsearch {
hosts => [ "10.138.7.51:9200" ]
index => "inventory-%{+YYYY-MM-dd}"
}
stdout {
codec => rubydebug
}
}
#=========================== Filbear Errors =============================
2017/11/24 16:45:14.226665 json.go:32: ERR Error decoding JSON: json: cannot unmarshal string into Go value of type map[string]interface {}
2017/11/24 16:45:14.226757 processor.go:262: DBG Publish event: {
"@timestamp": "2017-11-24T16:45:14.226Z",
"@metadata": {
"beat": "filebeat",
"type": "doc",
"version": "6.0.0"
},
"json": {},
"message": " \"host4\",",
"prospector": {
"type": "log"
},
"beat": {
"name": "filebeat",
"hostname": "filebeat",
"version": "6.0.0"
},
"source": "/opt/uploaddata/data.json",
"offset": 1710
}
2017/11/24 16:45:14.226800 json.go:32: ERR Error decoding JSON: EOF
2017/11/24 16:45:14.226889 processor.go:262: DBG Publish event: {
"@timestamp": "2017-11-24T16:45:14.226Z",
"@metadata": {
"beat": "filebeat",
"type": "doc",
"version": "6.0.0"
},
"json": {},
"message": "",
"source": "/opt/uploaddata/data.json",
"offset": 1712,
"prospector": {
"type": "log"
},
"beat": {
"name": "filebeat",
"hostname": "filebeat",
"version": "6.0.0"
}
#=========================== Logstash Logs =============================
{
"@timestamp" => 2017-11-24T16:45:14.226Z,
"offset" => 1638,
"@version" => "1",
"beat" => {
"name" => "filebeat",
"hostname" => "filebeat",
"version" => "6.0.0"
},
"host" => "filebeat",
"prospector" => {
"type" => "log"
},
"json" => {},
"source" => "/opt/uploaddata/data.json",
"message" => " },",
"tags" => [
[0] "beats_input_codec_plain_applied"
]
}
{
"@timestamp" => 2017-11-24T16:45:14.226Z,
"offset" => 1666,
"@version" => "1",
"beat" => {
"name" => "filebeat",
"hostname" => "filebeat",
"version" => "6.0.0"
},
"host" => "filebeat",
"json" => {},
"prospector" => {
"type" => "log"
},
"source" => "/opt/uploaddata/data.json",
"message" => " \"foreman_all\":[ ",
"tags" => [
[0] "beats_input_codec_plain_applied"
]
}
#=========================== Filebeat配置================= ============
library(DiagrammeR)
library(data.table)
niv <- c("A","B","C","D","E","X","Y")
from <- c("A","A","A","A","B","C","D","E", "X", "B")
to <- c("B","C","D","E","X","X","Y","Y","Y", "C")
temp <- data.table(from=factor(from, levels=niv),
to=factor(to,levels=niv), col=c(rep("blue",5), rep("black",5)))
nodes <- create_node_df(n=length(niv), label=niv, width=0.3)
# Add a vector of colors for fontcolor
edges <- create_edge_df(from=temp$from, to=temp$to,
rel="leading_to", label=temp$from, color=temp$col,
fontcolor=temp$col)
graph <- create_graph(nodes_df = nodes, edges_df = edges)
# Delete the default "layout" graph attribute and
# set direction of graph layout
graphAttr <- get_global_graph_attrs(graph)
graphAttr <- rbind(graphAttr[-1,],
c("rankdir", "LR", "graph"))
graph <- set_global_graph_attrs(graph,
attr = graphAttr$attr,
value = graphAttr$value,
attr_type = graphAttr$attr_type)
render_graph(graph)