Hi @jbrowe
You are close but as the error says geo_points
can not be dynamically converted type so you are going to need to do something like this. Create a little ingest pipelinee to help with the transformation
See if you can follow this along same principal you just need to change to fit your data
DELETE /city
# Put in non geo_point document
POST /city/_doc
{
"name": "north stamford",
"location": {
"lon": -73.572866,
"lat": 41.142307
}
}
GET /city/_search
GET /city/_mapping
DELETE /citynew
# Put the new mapping
PUT /citynew
{
"mappings": {
"properties": {
"name" : {"type" : "text"},
"location_fixed": {
"type": "geo_point"
}
}
}
}
# check the mapping
GET /citynew/_mapping
DELETE /_ingest/pipeline/convert_geo
# Create an ingest pipeline
# Sets the old location into the new geo_point field and drops the old location.
PUT /_ingest/pipeline/convert_geo
{
"processors": [
{
"set": {
"field": "location_fixed.lat",
"value": "{{location.lat}}"
}
},
{
"set": {
"field": "location_fixed.lon",
"value": "{{location.lon}}"
}
},
{
"remove": {
"field": "location"
}
}
]
}
#Now reindex using the ingest pipeline
POST _reindex/
{
"source": {
"index": "city"
},
"dest": {
"pipeline": "convert_geo",
"index": "citynew"
}
}
# Check out your new index
GET /citynew/_search
Hope this Helps!
In the future you may want to use logstash to do the ingest and do the conversion before it ever gets to elastic search ... but that is another technique for another day...