Adding Geo_shape to Elasticsearch using Logstash - elasticsearch

Question

I have a CSV file which contains Geometries in WKT format. I was trying to ingest geo_shape data using CSV file. I created a mapping as given in file "input_mapping.json"
{
"mappings" : {
"doc" : {
"properties" : {
"Lot" : {
"type" : "long"
},
"Lot_plan" : {
"type" : "text",
"fields" : {
"keyword" : {
"type" : "keyword",
"ignore_above" : 256
}
}
},
"Parcel_Address_Line_1" : {
"type" : "text",
"fields" : {
"keyword" : {
"type" : "keyword",
"ignore_above" : 256
}
}
},
"Plan" : {
"type" : "long"
},
"Tenure" : {
"type" : "text",
"fields" : {
"keyword" : {
"type" : "keyword",
"ignore_above" : 256
}
}
},
"WKT" : {
"type" : "geo_shape"
}
}
}
}
}
WKT is my geo_shape and it is in WKT(String) format.
Below is input CSV file which I am trying to insert using logstash:
WKT,Lot_plan,Tenure,Parcel_Address_Line_1,Lot,Plan
"POLYGON ((148.41503356 -26.62829003,148.44798048 -26.62800857,148.45234634 -26.63457929,148.45507096 -26.64778132,148.41735984 -26.64808729,148.41514107 -26.64091476,148.41503356 -26.62829003))",21MM1,FH,MASSEY DOWNS,21,1
"POLYGON ((148.45507096 -26.64778132,148.45779641 -26.66098396,148.45859297 -26.66259081,148.45801376 -26.66410383,148.45989472 -26.67278979,148.42510081 -26.67310328,148.42434355 -26.67065659,148.41735984 -26.64808729,148.45507096 -26.64778132))",21MM2,FH,,21,2
"POLYGON ((148.39514404 -26.68791317,148.37228669 -26.68894235,148.37188338 -26.68895271,148.37092744 -26.68897445,148.37051869 -26.68898023,148.36312088 -26.68908468,148.36261958 -26.66909425,148.39598678 -26.66869309,148.39584372 -26.66934742,148.39583604 -26.66968184,148.39590526 -26.67007957,148.39598629 -26.67039933,148.39614586 -26.67085156,148.39625052 -26.67085085,148.42434355 -26.67065659,148.42510081 -26.67310328,148.42537156 -26.67397795,148.42549108 -26.68541445,148.41781484 -26.68547248,148.39988482 -26.68562107,148.39966009 -26.68562292,148.39704234 -26.68564442,148.39514404 -26.68791317))",21MM3,LL,DERWENT PARK,21,3
And my logstash conf file is :
input{
file{
path=>"D:/input.csv"
start_position=>"beginning"
sincedb_path=>"D:/sample.text"
}
}
filter{
csv{
separator =>","
columns =>["WKT","Lot_plan","Tenure","Parcel_Address_Line_1","Lot","Plan"]
skip_header=>true
skip_empty_columns=>true
convert => {
"Lot" => "integer"
"Plan" => "integer"
}
remove_field =>[ "_source","message","host","path","#version","#timestamp" ]
}
}
output{
elasticsearch{
hosts=>"http://localhost:9701"
index=>"input_mapping"
template =>"D:/input_mapping.json"
template_name => "input_mapping"
manage_template => true
}
}
Due to some reason it is not getting ingested in the ElasticSearch. I am using ElasticSearch version 6.5.4 and logstash version 6.5.4.
Kindly let me know if I have missed anything.

Answer 1

I realized there will be many other developers who would be looking for problem similar which I had faced it. Later point of time, I checked GDAL( ogr2ogr) which provides ElasticSearch ingestion. Also I use PostgreSQL to ingest the CSV file. Therefore using ogr2ogr tool helps me by following the below steps:
First ingest my CSV file in PostgreSQL where I put WKT as text column in a table.
Create another column within the table and updated this column with ST_GeomFromText function.
update TableName set WKT_GEOM=ST_GeomFromText("WKT",4632)
(Note: I already installed the postgis in PostgreSQL)
Now I start my ElasticSearch.
Using ogr2ogr by following the examples provided:
a.First create elasticsearch mapping using ogr2ogr.
b.Now ingest the data from PostgreSQL to ElasticSearch.
https://gdal.org/drivers/vector/elasticsearch.html
In this way, I was able to perform geoquery in Elasticsearch. But unfortunately it was without logstash. :(
Please comment if you have any doubts.