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How to get Kibana like visualization aggregation using elasticsearch?


How to combine aggregations in ElasticSearch/Kibana?ElasticSearch and Kibana: compare value with aggregated valueImporting ElasticSearch Aggregation to KibanaElasticsearch, Kibana group by/aggregate documentsIs it possible to run an elasticsearch aggregation query in Kibana?Visualize Elasticsearch index size in KibanaElasticSearch / Kibana aggregating count by nameAggregation of aggregation in Kibana visualizationAll aggregations are not present in Kibana visualizationIssue in aggregations in elasticsearch and kibana






.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty height:90px;width:728px;box-sizing:border-box;








0















Kibana has a timeseries visualization builtin, looking like this:



enter image description here



I try to recreate this by:



const getAverageDurations = async() =>
await client.search(
index: "console-*",
body:
sort:
"@timestamp":
order: "asc"

,
query:
range:
"@timestamp":
gte: Date.now() - 15 * 60 * 1000,
format: "epoch_millis"


,
aggs:
average_durations:
date_histogram:
field: "@timestamp",
interval: "1m",
time_zone: "Asia/Shanghai",
min_doc_count: 1,
aggs:
metrics:
field: "duration",
type: "avgs"





,
size: 0
);


And it failed. Where in Kibana's source code may I find these visualization aggregations?










share|improve this question




























    0















    Kibana has a timeseries visualization builtin, looking like this:



    enter image description here



    I try to recreate this by:



    const getAverageDurations = async() =>
    await client.search(
    index: "console-*",
    body:
    sort:
    "@timestamp":
    order: "asc"

    ,
    query:
    range:
    "@timestamp":
    gte: Date.now() - 15 * 60 * 1000,
    format: "epoch_millis"


    ,
    aggs:
    average_durations:
    date_histogram:
    field: "@timestamp",
    interval: "1m",
    time_zone: "Asia/Shanghai",
    min_doc_count: 1,
    aggs:
    metrics:
    field: "duration",
    type: "avgs"





    ,
    size: 0
    );


    And it failed. Where in Kibana's source code may I find these visualization aggregations?










    share|improve this question
























      0












      0








      0








      Kibana has a timeseries visualization builtin, looking like this:



      enter image description here



      I try to recreate this by:



      const getAverageDurations = async() =>
      await client.search(
      index: "console-*",
      body:
      sort:
      "@timestamp":
      order: "asc"

      ,
      query:
      range:
      "@timestamp":
      gte: Date.now() - 15 * 60 * 1000,
      format: "epoch_millis"


      ,
      aggs:
      average_durations:
      date_histogram:
      field: "@timestamp",
      interval: "1m",
      time_zone: "Asia/Shanghai",
      min_doc_count: 1,
      aggs:
      metrics:
      field: "duration",
      type: "avgs"





      ,
      size: 0
      );


      And it failed. Where in Kibana's source code may I find these visualization aggregations?










      share|improve this question














      Kibana has a timeseries visualization builtin, looking like this:



      enter image description here



      I try to recreate this by:



      const getAverageDurations = async() =>
      await client.search(
      index: "console-*",
      body:
      sort:
      "@timestamp":
      order: "asc"

      ,
      query:
      range:
      "@timestamp":
      gte: Date.now() - 15 * 60 * 1000,
      format: "epoch_millis"


      ,
      aggs:
      average_durations:
      date_histogram:
      field: "@timestamp",
      interval: "1m",
      time_zone: "Asia/Shanghai",
      min_doc_count: 1,
      aggs:
      metrics:
      field: "duration",
      type: "avgs"





      ,
      size: 0
      );


      And it failed. Where in Kibana's source code may I find these visualization aggregations?







      elasticsearch






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Mar 25 at 3:38









      Aero WangAero Wang

      2,65542240




      2,65542240






















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