Hello,
I have created a location filed by using below code
if [latitude] and [longitude] {
mutate {
rename => [ "latitude", "[location][lat]", "longitude", "[location][lon]"
]
}
}
But when i check location field type then it is not created as geo_point.
when i am trying to search a geo_point then i am getting below error.
QueryParsingException[[logstash-2014.09.11] failed to find geo_point field
[location1]];
can you help me to resolve this
On Thursday, April 10, 2014 2:42:22 AM UTC+5:30, Pascal VINCENT wrote:
>
> Hi,
>
> I have included logstash in my stack and started to play with it. I'm sure
> it can do the trick I was looking for, and much more.
> Thank you ...
>
> [waiting for your blog post :)]
>
> Pascal.
>
>
> On Mon, Apr 7, 2014 at 9:38 AM, Alexander Reelsen <[email protected]
> <javascript:>> wrote:
>
>> Hey,
>>
>> I dont know about your stack, but maybe logstash would be a good idea to
>> add it in there. It is more flexible than the csv river and features a CSV
>> input as well. You can easily change the structure of the data you want to
>> index. This is how the logstash config would look like
>>
>> if [latitude] and [longitude] {
>>
>> mutate {
>> rename => [ "latitude", "[location][lat]", "longitude",
>> "[location][lon]" ]
>>
>> }
>> }
>>
>> I am currently working on a blog post how to utilize elasticsearch,
>> logstash and kibana on CSV based data and hope to release it soonish on the
>> .org blog - which covers exactly this. Stay tuned! :-)
>>
>>
>> --Alex
>>
>>
>>
>> On Thu, Apr 3, 2014 at 12:21 AM, Pascal VINCENT <[email protected]
>> <javascript:>> wrote:
>>
>>> Hi,
>>>
>>> I'm new to elasticsearch. My usecase is to load a csv file containing
>>> some agencies with geo location, each lines are like :
>>>
>>> id;label;address;zipcode;city;region;*latitude*;*longitude*;(and some
>>> others fields)+
>>>
>>> I'm using the csv river plugin to index the file.
>>>
>>> My mapping is :
>>>
>>> {
>>> "office": {
>>> "properties": {
>>>
>>> *(first fields omitted...)*
>>>
>>> "*latitude*": {
>>> "type": "double",
>>> },
>>> "*longitude*": {
>>> "type": "double",
>>> },
>>> "*location*": {
>>> "type": "geo_point",
>>> "lat_lon": "true"
>>> }
>>> }
>>> }
>>>
>>> I'd like to index the location .lon and .lat value from the latitude and
>>> longitude fields. I tried the copy_to function with no success :
>>> "latitude": {
>>> "type": "double",
>>> "copy_to": "location.lat"
>>> },
>>> "longitude": {
>>> "type": "double",
>>> "copy_to": "location.lon"
>>> },
>>>
>>> Is there any way to feed the "location" property from latitude and
>>> longitude fields at indexation ?
>>>
>>> My point is that I don't want to modify the input csv file to adapt it
>>> to the GeoJSON format (i.e concat lat and lon in one field in the csv file).
>>>
>>> Thank you for any hints.
>>>
>>> Pascal.
>>>
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>>
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