无法将Logstash中的csv文件映射到Window中的kibana

时间:2019-02-26 06:39:55

标签: elasticsearch logstash elasticsearch-plugin logstash-configuration logstash-file

我正在尝试使用logstash将csv文件中的数据输入到弹性搜索中。我的logsatsh配置文件如下所示:

input {
file {
path => "D:\Log Anlyser\data\cars.csv"
start_position => "beginning"
sincedb_path => "NUL"   
}
}
filter {
csv {
separator => ","
columns => [ "maker", "model", "mileage", "manufacture_year", "engine_displacement", "engine_power", "body_type", "color_slug", "stk_year", "transmission", "door_count", "seat_count", "fuel_type", "date_created", "date_last_seen", "price_eur" ]
}
mutate {convert => ["milage", "integer"] }
mutate {convert => ["price_eur", "float"] }
mutate {convert => ["engine_power", "integer"] }
mutate {convert => ["door_count", "integer"] }
mutate {convert => ["seat_count", "integer"] }  
}
output {
elasticsearch {
hosts => ["localhost:9200"]
index => ["cars-%{+YYYY.MM.dd}"]
}
}

在窗口中触发此命令进行logstash时:logstash -f cars.conf我得到了:-

Sending Logstash logs to D:/Log_Anlyser/logstash/logs which is now configured via log4j2.properties
[2019-02-26T12:05:51,690][WARN ][logstash.config.source.multilocal] Ignoring the 'pipelines.yml' file because modules or command line options are specified
[2019-02-26T12:05:51,721][INFO ][logstash.runner          ] Starting Logstash {"logstash.version"=>"6.6.1"}
[2019-02-26T12:05:57,133][INFO ][logstash.pipeline        ] Starting pipeline {:pipeline_id=>"main", "pipeline.workers"=>4, "pipeline.batch.size"=>125, "pipeline.batch.delay"=>50}
[2019-02-26T12:05:57,510][INFO ][logstash.outputs.elasticsearch] Elasticsearch pool URLs updated {:changes=>{:removed=>[], :added=>[http://localhost:9200/]}}
[2019-02-26T12:05:57,664][WARN ][logstash.outputs.elasticsearch] Restored connection to ES instance {:url=>"http://localhost:9200/"}
[2019-02-26T12:05:57,711][INFO ][logstash.outputs.elasticsearch] ES Output version determined {:es_version=>5}
[2019-02-26T12:05:57,742][INFO ][logstash.outputs.elasticsearch] New Elasticsearch output {:class=>"LogStash::Outputs::ElasticSearch", :hosts=>["//localhost:9200"]}
[2019-02-26T12:05:57,758][INFO ][logstash.outputs.elasticsearch] Using mapping template from {:path=>nil}
[2019-02-26T12:05:57,852][INFO ][logstash.outputs.elasticsearch] Attempting to install template {:manage_template=>{"template"=>"logstash-*", "version"=>50001, "settings"=>{"index.refresh_interval"=>"5s"}, "mappings"=>{"_default_"=>{"_all"=>{"enabled"=>true, "norms"=>false}, "dynamic_templates"=>[{"message_field"=>{"path_match"=>"message", "match_mapping_type"=>"string", "mapping"=>{"type"=>"text", "norms"=>false}}}, {"string_fields"=>{"match"=>"*", "match_mapping_type"=>"string", "mapping"=>{"type"=>"text", "norms"=>false, "fields"=>{"keyword"=>{"type"=>"keyword", "ignore_above"=>256}}}}}], "properties"=>{"@timestamp"=>{"type"=>"date", "include_in_all"=>false}, "@version"=>{"type"=>"keyword", "include_in_all"=>false}, "geoip"=>{"dynamic"=>true, "properties"=>{"ip"=>{"type"=>"ip"}, "location"=>{"type"=>"geo_point"}, "latitude"=>{"type"=>"half_float"}, "longitude"=>{"type"=>"half_float"}}}}}}}}
[2019-02-26T12:05:58,179][INFO ][logstash.pipeline        ] Pipeline started successfully {:pipeline_id=>"main", :thread=>"#<Thread:0x274079d5 run>"}
[2019-02-26T12:05:58,226][INFO ][logstash.agent           ] Pipelines running {:count=>1, :running_pipelines=>[:main], :non_running_pipelines=>[]}
[2019-02-26T12:05:58,226][INFO ][filewatch.observingtail  ] START, creating Discoverer, Watch with file and sincedb collections
[2019-02-26T12:05:58,547][INFO ][logstash.agent           ] Successfully started Logstash API endpoint {:port=>9600}

现在连接到kibana(localhost:5601)时,我无法映射数据。出现此错误:-

  

无法获取映射。您是否有与模式匹配的索引?   你能帮忙吗?

See this image for error in kibana

2 个答案:

答案 0 :(得分:2)

我遇到了问题。错误是很愚蠢的。 CSV 文件的路径错误。较早的路径是path => "D:\Log Anlyser\data\cars.csv"。当前路径为

  

path =>“ D:/Log_Anlyser/data/cars.csv”

它将起作用

答案 1 :(得分:0)

原因可能很少-也许数据根本没有到达ES。您可以通过运行

来验证索引是否存在
  

获取es-url:9200 / _cat / indices / cars *

如果存在索引,那么您应该能够在Kibana中创建索引模式。

如果缺少索引,则Logstash无法读取输入文件,或者无法到达elasticsearch。需要检查logstash日志,并确保数据到达ES。