How can I generate lat long fields into geo point in elasticsearch

Elastic Stack Elasticsearch
1

0

I've ingested CSV data via pgsync from postgres RDS to elasticsearch.my index contains "lat" and "lng"

"lat" : {
      "type" : "float"
    },
    "lng" : {
      "type" : "float"

How would I convert this into an acceptable geopoint format so that I can map it in Kibana?

I already add this mapping:

    ``` PUT /my-index/_mapping
{
  "properties": {
    "location": {
      "type": "geo_point"
    }
  }
}```

but when I'm trying to generate new coordinate field via:

``` POST your_index/_update_by_query
{
  "script": {
    "inline": "ctx._source.location = ctx._source.lat, ctx._source.lon",
    "lang": "painless"
  },
  "query": {
    "match_all": {}
  }
}```





I am unable and getting this error

'''
{
  "error" : {
    "root_cause" : [
      {
        "type" : "script_exception",
        "reason" : "compile error",
        "script_stack" : [
          "... ocation = ctx._source.lat, ctx._source.lng",
          "                             ^---- HERE"
        ],
        "script" : "ctx._source.location = ctx._source.lat, ctx._source.lng",
        "lang" : "painless",
        "position" : {
          "offset" : 38,
          "start" : 13,
          "end" : 55
        }
      }
'''

Is there any suggestion or correction for this?

2

Careful with your lat and lon / lng and make sure you get the coordinates in the correct order see here

DELETE discuss-location-index
PUT discuss-location-index
{
  "mappings": {
    "properties": {
      "lat": {
        "type": "float"
      },
      "lon": {
        "type": "float"
      },
      "location": {
        "type": "geo_point"
      }
    }
  }
}

POST discuss-location-index/_doc
{
  "lat" : 10.0,
  "lon" : 11.0

}

POST discuss-location-index/_update_by_query
{
  "script": {
    "source": "ctx._source.location = [ctx._source.lon, ctx._source.lat ]",
    "lang": "painless"
  },
  "query": {
    "match_all": {}
  }
}

# Search
GET discuss-location-index/_search
{
  "fields": [
    "*"
  ]
}

# Result
{
  "took" : 0,
  "timed_out" : false,
  "_shards" : {
    "total" : 1,
    "successful" : 1,
    "skipped" : 0,
    "failed" : 0
  },
  "hits" : {
    "total" : {
      "value" : 1,
      "relation" : "eq"
    },
    "max_score" : 1.0,
    "hits" : [
      {
        "_index" : "discuss-location-index",
        "_id" : "ypmVroIBJQ-PaY-rMcqk",
        "_score" : 1.0,
        "_source" : {
          "lon" : 11.0,
          "location" : [
            11.0,
            10.0
          ],
          "lat" : 10.0
        },
        "fields" : {
          "lon" : [
            11.0
          ],
          "location" : [
            {
              "coordinates" : [
                11.0,
                10.0
              ],
              "type" : "Point"
            }
          ],
          "lat" : [
            10.0
          ]
        }
      }
    ]
  }
}
3

Thank you Stephan,the problem is that I want to do bulk uploading from my DB to elasticsearch via pgsync.Do you have any suggestion for this?

4

Yes I was thinking that.. but you asked about a painless script so that is the answer you got :slight_smile: That painless script will update all the documents...

Perhaps look at this thread... the last couple posts (It is a bit long... but the OP is loading Geo Data from Postgres using Logstash)

Last Couple Posts..

I do not know pgsync... but in the end you just need to put the lat / lon in the right fields... I would think you would be able to do that... I just not familiar with the tool

Looks to me like you will need to use the transform node rename logic to rename your source fields to the correct fields..

1 Like
5

got it.Thanks a lot

6

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