Rakesh J R
Reputation: 31
Elasticsearch query for two filters
I am new to Elasticsearch and i have a use case where i need to fetch data for the below 2 conditions
zoneType : [test,oms]{"geo_bounding_box":{"location":{"top_left":{"lat":"1.3545001078734353","lon":"103.87945999358624"},"bottom_right":{"lat":"1.3435168247600437","lon":"103.89390100692282"}}}
My Query always returns the whole data which is below , but i want my data to be returned only for the above conditions
{
"took": 0,
"timed_out": false,
"_shards": {
"total": 1,
"successful": 1,
"failed": 0
},
"hits": {
"total": 11,
"max_score": 1,
"hits": [
{
"_index": "dataintelindex_man",
"_type": "station_info",
"_id": "chak_01",
"_score": 1,
"_source": {
"tag_datatype": "sensor",
"loc": [
{
"lng": 78.460938,
"lat": 25.665325
}
],
"level": 1,
"station_id": "01",
"tag_owner": "xylem",
"tag_network_name": "chak_network",
"supply_zone": "mantena",
"display_name": "Chak 01",
"tag_sector": "sensorstation",
"meta_info": {
"site": {
"site_name": "site Name",
"site_id": "04"
},
"district": {
"district_name": "district Name",
"district_id": "03"
},
"state": {
"state_name": "state Name",
"state_id": "05"
},
"village": {
"village_id": "01",
"village_name": "village Name"
},
"tehsil": {
"tehsil_id": "02",
"tehsil_name": "tehsil Name"
}
},
"tag_category": "sensorstation",
"node_reference": "chak-01",
"_id": "chak_01"
}
},
{
"_index": "dataintelindex_man",
"_type": "station_info",
"_id": "chak-01",
"_score": 1,
"_source": {
"tag_datatype": "sensor",
"loc": [
{
"lng": 78.460938,
"lat": 25.665325
}
],
"level": 1,
"station_id": "01",
"tag_owner": "xylem",
"tag_network_name": "chak_network",
"supply_zone": "mantena",
"display_name": "Chak 01",
"tag_sector": "sensorstation",
"meta_info": {
"site": {
"site_name": "site Name",
"site_id": "04"
},
"district": {
"district_name": "district Name",
"district_id": "03"
},
"state": {
"state_name": "state Name",
"state_id": "05"
},
"village": {
"village_id": "01",
"village_name": "village Name"
},
"tehsil": {
"tehsil_id": "02",
"tehsil_name": "tehsil Name"
}
},
"tag_category": "sensorstation",
"node_reference": "980066547976678",
"_id": "chak-01"
}
},
{
"_index": "dataintelindex_man",
"_type": "station_info",
"_id": "dummy_elastic_update_station",
"_score": 1,
"_source": {
"dummystnupddate": "Thu Dec 03 2015 07:00:01 GMT+0000",
"level": "1",
"icon": "newicons/dataxicons/blue.png",
"_id": "dummy_elastic_update_station",
"tag_location": "unknown"
}
},
{
"_index": "dataintelindex_man",
"_type": "station_info",
"_id": "5f3121d6b4c93c1d20bbbb38",
"_score": 1,
"_source": {
"tag_datatype": "sensor",
"loc": [
{
"lat": "0",
"lon": "0"
}
],
"level": 1,
"kml_path": "",
"created": "Mon Aug 10 16:00:47 IST 2020",
"latitude": "0",
"station_id": "5f3121d6b4c93c1d20bbbb38",
"longtitude": "0",
"tag_owner": "",
"description": "",
"zoneType": "test",
"tag_network_name": "chak_network",
"display_name": "testname",
"supply_zone": "testname",
"outflow": null,
"tag_sector": "dmameter",
"name": "testname",
"tag_category": "sensorstation",
"inflow": null,
"_id": "5f3121d6b4c93c1d20bbbb38",
"tag_location": "NA",
"lastmod": "Mon Aug 10 16:00:47 IST 2020",
"status": "ACTIVE"
}
},
{
"_index": "dataintelindex_man",
"_type": "station_info",
"_id": "5f312253b4c93c1d20bbbb39",
"_score": 1,
"_source": {
"tag_datatype": "sensor",
"loc": [
{
"lat": "0",
"lon": "0"
}
],
"level": 1,
"kml_path": "",
"created": "Mon Aug 10 16:02:51 IST 2020",
"latitude": "0",
"station_id": "5f312253b4c93c1d20bbbb39",
"longtitude": "0",
"tag_owner": "",
"description": "",
"zoneType": "oms",
"tag_network_name": "chak_network",
"display_name": "506020200236117-O1",
"supply_zone": "506020200236117-O1",
"outflow": null,
"tag_sector": "dmameter",
"name": "506020200236117-O1",
"tag_category": "sensorstation",
"inflow": null,
"_id": "5f312253b4c93c1d20bbbb39",
"tag_location": "NA",
"lastmod": "Mon Aug 10 16:02:51 IST 2020",
"status": "ACTIVE"
}
},
{
"_index": "dataintelindex_man",
"_type": "station_info",
"_id": "5f32357b3ccb8f51e003587e",
"_score": 1,
"_source": {
"tag_datatype": "sensor",
"loc": [
{
"lat": "0",
"lon": "0"
}
],
"level": 1,
"kml_path": "",
"created": "Tue Aug 11 11:36:51 IST 2020",
"latitude": "0",
"station_id": "5f32357b3ccb8f51e003587e",
"longtitude": "0",
"tag_owner": "",
"description": "",
"zoneType": "village",
"display_name": "testvillage1",
"supply_zone": "testvillage1",
"outflow": null,
"tag_sector": "dmameter",
"name": "testvillage1",
"tag_category": "sensorstation",
"inflow": null,
"_id": "5f32357b3ccb8f51e003587e",
"tag_location": "NA",
"lastmod": "Tue Aug 11 11:36:51 IST 2020",
"status": "ACTIVE"
}
},
{
"_index": "dataintelindex_man",
"_type": "station_info",
"_id": "5ee0861c5f15030001b2dfd9",
"_score": 1,
"_source": {
"tag_datatype": "sensor",
"loc": [
{
"lat": "0",
"lon": "0"
}
],
"level": 1,
"kml_path": "",
"created": "Wed Jun 10 07:05:00 UTC 2020",
"latitude": "0",
"station_id": "5ee0861c5f15030001b2dfd9",
"longtitude": "0",
"tag_owner": "",
"description": "",
"tag_network_name": "chak_network",
"display_name": "bhamarhar",
"supply_zone": "bhamarhar",
"outflow": null,
"tag_sector": "dmameter",
"name": "bhamarhar",
"tag_category": "sensorstation",
"inflow": null,
"_id": "5ee0861c5f15030001b2dfd9",
"tag_location": "NA",
"lastmod": "Wed Jun 10 07:05:00 UTC 2020",
"status": "ACTIVE"
}
},
{
"_index": "dataintelindex_man",
"_type": "station_info",
"_id": "5f2ad03bba21eb28684451e3",
"_score": 1,
"_source": {
"tag_datatype": "sensor",
"loc": [
{
"lat": "0",
"lon": "0"
}
],
"level": 1,
"kml_path": "",
"created": "Wed Aug 05 20:58:59 IST 2020",
"latitude": "0",
"station_id": "5f2ad03bba21eb28684451e3",
"longtitude": "0",
"tag_owner": "",
"description": "",
"tag_network_name": "chak_network",
"display_name": "zone-1",
"supply_zone": "zone-1",
"outflow": null,
"tag_sector": "dmameter",
"name": "zone-1",
"tag_category": "sensorstation",
"inflow": null,
"_id": "5f2ad03bba21eb28684451e3",
"tag_location": "NA",
"lastmod": "Wed Aug 05 20:58:59 IST 2020",
"status": "ACTIVE"
}
},
{
"_index": "dataintelindex_man",
"_type": "sensor_info",
"_id": "chak_01_btry",
"_score": 1,
"_source": {
"parent": "chak_01",
"sensortype_units": "volt",
"device_id": "OMS_MP_LRR_001",
"level": 2,
"sensortype_actual": "btry",
"highrate": false,
"tag_datasource": "xylem",
"_id": "chak_01_btry",
"sensortype_display": "btry - chak_01",
"type": "sensor",
"sensortype_backend": "btry"
}
},
{
"_index": "dataintelindex_man",
"_type": "sensor_info",
"_id": "chak-01/pressure",
"_score": 1,
"_source": {
"parent": "chak-01",
"sensortype_units": "bar",
"device_id": "OMS_MP_LRR_001",
"level": 2,
"sensortype_actual": "pressure",
"highrate": false,
"tag_datasource": "xylem",
"_id": "chak-01/pressure",
"sensortype_display": "pressure - chak-01",
"type": "sensor",
"sensortype_backend": "pressure"
}
}
]
}
}
The query which i have formed is as below :
{
"query":{
"geo_bounding_box":{
"location":{
"top_left":{
"lat":"1.3545001078734353",
"lon":"103.87945999358624"
},
"bottom_right":{
"lat":"1.3435168247600437",
"lon":"103.89390100692282"
}
}
}
},
{
"zoneType":[
"oms",
"test"
]
},
"size":100000
}
Please help me validate the query.
Upvotes: 0
Views: 47
Answers (1)
Evaldas Buinauskas
Reputation: 14077
There are multiple issues:
- JSON is invalid
zoneTypeis placed at the root of the object, it should be under query
In order for this to work, all queries/filters must be placed within root query object and in order to combine multiple filters, you'll need to use compound queries, in this specific case - bool query, read about it more in the documentation.
So this would be the actual query that should work for you:
{
"query": {
"bool": {
"filter": [
{
"geo_bounding_box": {
"location": {
"top_left": {
"lat": "1.3545001078734353",
"lon": "103.87945999358624"
},
"bottom_right": {
"lat": "1.3435168247600437",
"lon": "103.89390100692282"
}
}
}
},
{
"terms": {
"zoneType": [
"oms",
"test"
]
}
}
]
}
},
"size": 100000
}
See I've moved zoneType under query->bool->filter[], next to geo_bounding_box query.
Upvotes: 2
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