- html - 出于某种原因,IE8 对我的 Sass 文件中继承的 html5 CSS 不友好?
- JMeter 在响应断言中使用 span 标签的问题
- html - 在 :hover and :active? 上具有不同效果的 CSS 动画
- html - 相对于居中的 html 内容固定的 CSS 重复背景?
我是Elasticsearch的新手,我有一个用例,需要为以下2个条件获取数据
zoneType : [test,oms]
{"geo_bounding_box":{"location":{"top_left":{"lat":"1.3545001078734353","lon":"103.87945999358624"},"bottom_right":{"lat":"1.3435168247600437","lon":"103.89390100692282"}}}
{
"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"
}
}
]
}
}
我形成的查询如下:
{
"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
}
请帮助我验证查询。
最佳答案
存在多个问题:
zoneType
放置在对象的根目录下,它应该在查询query
对象中,并且为了组合多个过滤器,在这种特定情况下,您需要使用
compound queries-bool查询,请在文档中详细了解。
{
"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
}
请参阅我已将
zoneType
移至
query->bool->filter[]
查询旁边的
geo_bounding_box
下。
关于elasticsearch - Elasticsearch查询两个过滤器,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/63357790/
我有三张 table 。表 A 有选项名称(即颜色、尺寸)。表 B 有选项值名称(即蓝色、红色、黑色等)。表C通过将选项名称id和选项名称值id放在一起来建立关系。 我的查询需要显示值和选项的名称,而
在mysql中,如何计算一行中的非空单元格?我只想计算某些列之间的单元格,比如第 3-10 列之间的单元格。不是所有的列...同样,仅在该行中。 最佳答案 如果你想这样做,只能在 sql 中使用名称而
关闭。这个问题需要多问focused 。目前不接受答案。 想要改进此问题吗?更新问题,使其仅关注一个问题 editing this post . 已关闭 7 年前。 Improve this ques
我正在为版本7.6进行Elasticsearch查询 我的查询是这样的: { "query": { "bool": { "should": [ {
关闭。这个问题需要多问focused 。目前不接受答案。 想要改进此问题吗?更新问题,使其仅关注一个问题 editing this post . 已关闭 7 年前。 Improve this ques
是否可以编写一个查询来检查任一子查询(而不是一个子查询)是否正确? SELECT * FROM employees e WHERE NOT EXISTS (
我找到了很多关于我的问题的答案,但问题没有解决 我有表格,有数据,例如: Data 1 Data 2 Data 3
以下查询返回错误: 查询: SELECT Id, FirstName, LastName, OwnerId, PersonEmail FROM Account WHERE lower(PersonEm
以下查询返回错误: 查询: SELECT Id, FirstName, LastName, OwnerId, PersonEmail FROM Account WHERE lower(PersonEm
我从 EditText 中获取了 String 值。以及提交查询的按钮。 String sql=editQuery.getText().toString();// SELECT * FROM empl
我有一个或多或少有效的查询(关于结果),但处理大约需要 45 秒。这对于在 GUI 中呈现数据来说肯定太长了。 所以我的需求是找到一个更快/更高效的查询(几毫秒左右会很好)我的数据表大约有 3000
这是我第一次使用 Stack Overflow,所以我希望我以正确的方式提出这个问题。 我有 2 个 SQL 查询,我正在尝试比较和识别缺失值,尽管我无法将 NULL 字段添加到第二个查询中以识别缺失
什么是动态 SQL 查询?何时需要使用动态 SQL 查询?我使用的是 SQL Server 2005。 最佳答案 这里有几篇文章: Introduction to Dynamic SQL Dynami
include "mysql.php"; $query= "SELECT ID,name,displayname,established,summary,searchlink,im
我有一个查询要“转换”为 mysql。这是查询: select top 5 * from (select id, firstName, lastName, sum(fileSize) as To
通过我的研究,我发现至少从 EF 4.1 开始,EF 查询上的 .ToString() 方法将返回要运行的 SQL。事实上,这对我来说非常有用,使用 Entity Framework 5 和 6。 但
我在构造查询来执行以下操作时遇到问题: 按activity_type_id过滤联系人,仅显示最近事件具有所需activity_type_id或为NULL(无事件)的联系人 表格结构如下: 一个联系人可
如何让我输入数据库的信息在输入数据 5 分钟后自行更新? 假设我有一张 table : +--+--+-----+ |id|ip|count| +--+--+-----+ |
我正在尝试搜索正好是 4 位数字的 ID,我知道我需要使用 LENGTH() 字符串函数,但找不到如何使用它的示例。我正在尝试以下(和其他变体)但它们不起作用。 SELECT max(car_id)
我有一个在 mysql 上运行良好的 sql 查询(查询 + 连接): select sum(pa.price) from user u , purchase pu , pack pa where (
我是一名优秀的程序员,十分优秀!