1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99
|
// This file is autogenerated, DO NOT EDIT
// aggregations/metrics/geoline-aggregation.asciidoc:13
[source, python]
----
resp = client.indices.create(
index="test",
mappings={
"properties": {
"my_location": {
"type": "geo_point"
},
"group": {
"type": "keyword"
},
"@timestamp": {
"type": "date"
}
}
},
)
print(resp)
resp1 = client.bulk(
index="test",
refresh=True,
operations=[
{
"index": {}
},
{
"my_location": {
"lat": 52.373184,
"lon": 4.889187
},
"@timestamp": "2023-01-02T09:00:00Z"
},
{
"index": {}
},
{
"my_location": {
"lat": 52.370159,
"lon": 4.885057
},
"@timestamp": "2023-01-02T10:00:00Z"
},
{
"index": {}
},
{
"my_location": {
"lat": 52.369219,
"lon": 4.901618
},
"@timestamp": "2023-01-02T13:00:00Z"
},
{
"index": {}
},
{
"my_location": {
"lat": 52.374081,
"lon": 4.91235
},
"@timestamp": "2023-01-02T16:00:00Z"
},
{
"index": {}
},
{
"my_location": {
"lat": 52.371667,
"lon": 4.914722
},
"@timestamp": "2023-01-03T12:00:00Z"
}
],
)
print(resp1)
resp2 = client.search(
index="test",
filter_path="aggregations",
aggs={
"line": {
"geo_line": {
"point": {
"field": "my_location"
},
"sort": {
"field": "@timestamp"
}
}
}
},
)
print(resp2)
----
|