这是一个创建于 2658 天前的主题，其中的信息可能已经有所发展或是发生改变。
solr 查询经纬度
http://172.19.3.40:8998/solr/core_alias/select?q=_copy_field:{!geofilt pt=32.163793,118.703287 sfield=baidu_lat_lng d=2 score=distance}&sort=score asc&wt=json
这样的查询语句的结果如下：
{
"responseHeader": {
"status": 0,
"QTime": 228,
"params": {
"sort": "score asc",
"q": "_copy_field:{!geofilt pt=32.163793,118.703287 sfield=baidu_lat_lng d=2 score=distance}",
"wt": "json"
}
},
"response": {
"numFound": 15,
"start": 0,
"maxScore": 1.9857113,
"docs": [
{
"id": "546431",
"city_name": "2、玉皇庙",
"city_name_desc": "2、玉皇庙",
"province_id": 3,
"province_name": "山东",
"city_pinyin_url": "2yuhuangmiao",
"bus_busy_flag": "N",
"tourist_busy_flag": "N",
"hotel_busy_flag": "N",
"city_busy_flag": "N",
"parent_city_id": 481801,
"parent_city_name": "商河县",
"leve_code": 3,
"city_desc_pinyin": "2yuhuangmiao",
"city_pinyin": "2yuhuangmiao",
"city_pinyin_letter_all": "2YHM",
"city_pinyin_letter_desc": "2YHM",
"last_update_date": "2017-09-15T13:14:53Z",
"_version_": 1578581443038150658
},
{
"id": "333205",
"hotel_name": "南京新区别墅乐活派",
"hotel_address": "高新区高新别墅 13 栋",
"latitude_longitude": "32.163932,118.704738",
"minprice": "0",
"df_score": 0,
"start_id": 0,
"hotel_busy_flag": "N",
"chain_hotel_id": 0,
"book_day": "0",
"city_name": "南京市",
"city_id": "390073",
"baidu_lat_lng": "32.169932,118.711238",
"vendor_hotel_id": "345319",
"city_pinyin_url": "nanjingshi",
"city_busy_flag": "Y",
"have_sort": 0,
"last_update_date": "2017-09-15 13:15:46",
"_version_": 1578581508252237824
},
{
"id": "206126",
"hotel_name": "汉庭酒店(南京浦口东大成贤学院店)",
"hotel_address": "南京市浦口高新区丽景路 1 号",
"latitude_longitude": "32.162963,118.719019",
"minprice": "189",
"df_score": 439,
"start_id": 1,
"hotel_busy_flag": "Y",
"chain_hotel_id": 5,
"book_day": "8",
"city_name": "南京市",
"city_id": "390073",
"baidu_lat_lng": "32.162963,118.719019",
"vendor_hotel_id": "251107",
"city_pinyin_url": "nanjingshi",
"city_busy_flag": "Y",
"have_sort": 0,
"last_update_date": "2017-09-15 13:15:19",
"_version_": 1578581486891696129
},
{
"id": "243827",
"hotel_name": "南京春东旅馆",
"hotel_address": "近郊浦口区泰西路 18-8 号华侨绿洲花苑 110 栋 105 室",
"latitude_longitude": "32.154206,118.715424",
"minprice": "70",
"df_score": 0,
"start_id": 1,
"hotel_busy_flag": "Y",
"chain_hotel_id": 0,
"book_day": "10",
"city_name": "南京市",
"city_id": "390073",
"baidu_lat_lng": "32.154206,118.715424",
"vendor_hotel_id": "172009",
"city_pinyin_url": "nanjingshi",
"city_busy_flag": "Y",
"have_sort": 0,
"last_update_date": "2017-09-15 13:15:46",
"_version_": 1578581502260674561
},
{
"id": "206273",
"hotel_name": "桃园宾馆（东大路店）",
"hotel_address": "浦口区泰山新村东大路 2 号",
"latitude_longitude": "32.150208,118.711454",
"minprice": "0",
"df_score": 0,
"start_id": 0,
"hotel_busy_flag": "N",
"chain_hotel_id": 0,
"book_day": "0",
"city_name": "南京市",
"city_id": "390073",
"baidu_lat_lng": "32.156208,118.717954",
"vendor_hotel_id": "212000",
"city_pinyin_url": "nanjingshi",
"city_busy_flag": "Y",
"have_sort": 0,
"last_update_date": "2017-09-15 13:15:45",
"_version_": 1578581496306860033
},
{
"id": "207222",
"hotel_name": "南京金鹏达宾馆",
"hotel_address": "南京市浦口区宁六路 38 号（近东大路）",
"latitude_longitude": "32.158577,118.720071",
"minprice": "0",
"df_score": 15,
"start_id": 0,
"hotel_busy_flag": "N",
"chain_hotel_id": 0,
"book_day": "0",
"city_name": "南京市",
"city_id": "390073",
"baidu_lat_lng": "32.158577,118.720071",
"vendor_hotel_id": "39867",
"city_pinyin_url": "nanjingshi",
"city_busy_flag": "Y",
"have_sort": 0,
"last_update_date": "2017-09-15 13:15:45",
"_version_": 1578581498291814400
},
{
"id": "206435",
"hotel_name": "南京零点空间宾馆",
"hotel_address": "浦口区宁六路 1-30 号",
"latitude_longitude": "32.155662,118.719814",
"minprice": "0",
"df_score": 3,
"start_id": 1,
"hotel_busy_flag": "N",
"chain_hotel_id": 0,
"book_day": "0",
"city_name": "南京市",
"city_id": "390073",
"baidu_lat_lng": "32.155662,118.719814",
"vendor_hotel_id": "176674",
"city_pinyin_url": "nanjingshi",
"city_busy_flag": "Y",
"have_sort": 0,
"last_update_date": "2017-09-15 13:15:45",
"_version_": 1578581496738873345
},
{
"id": "333272",
"hotel_name": "南京弘扬连锁公寓天华硅谷一期南区",
"hotel_address": "南京市浦口区天华硅谷一期南区",
"latitude_longitude": "32.15477,118.715641",
"minprice": "0",
"df_score": 0,
"start_id": 0,
"hotel_busy_flag": "N",
"chain_hotel_id": 0,
"book_day": "0",
"city_name": "南京市",
"city_id": "390073",
"baidu_lat_lng": "32.16077,118.722141",
"vendor_hotel_id": "340017",
"city_pinyin_url": "nanjingshi",
"city_busy_flag": "Y",
"have_sort": 0,
"last_update_date": "2017-09-15 13:15:46",
"_version_": 1578581508294180864
},
{
"id": "206643",
"hotel_name": "南京彭玉华精品酒店",
"hotel_address": "浦口区宁六路 1-27 号",
"latitude_longitude": "32.155309,118.719756",
"minprice": "0",
"df_score": 8,
"start_id": 1,
"hotel_busy_flag": "N",
"chain_hotel_id": 0,
"book_day": "0",
"city_name": "南京市",
"city_id": "390073",
"baidu_lat_lng": "32.155309,118.719756",
"vendor_hotel_id": "153844",
"city_pinyin_url": "nanjingshi",
"city_busy_flag": "Y",
"have_sort": 0,
"last_update_date": "2017-09-15 13:15:45",
"_version_": 1578581497219121152
},
{
"id": "333283",
"hotel_name": "南京弘扬连锁公寓天华硅谷一期北区",
"hotel_address": "南京市浦口区天华硅谷一期北区",
"latitude_longitude": "32.157361,118.716333",
"minprice": "0",
"df_score": 0,
"start_id": 0,
"hotel_busy_flag": "N",
"chain_hotel_id": 0,
"book_day": "0",
"city_name": "南京市",
"city_id": "390073",
"baidu_lat_lng": "32.163361,118.722833",
"vendor_hotel_id": "339932",
"city_pinyin_url": "nanjingshi",
"city_busy_flag": "Y",
"have_sort": 0,
"last_update_date": "2017-09-15 13:15:46",
"_version_": 1578581512308129792
}
]
}
}
求教，为什么会把玉皇庙给查出来，怎样去除
9 条回复 • 2017-09-15 22:53:26 +08:00
 |
1
MrXiong OP 要沉了顶一下，恩
|
 |
2
wudanyang 2017-09-15 16:13:34 +08:00
fq=baidu_lat_lng:*
|
|
4
wudanyang 2017-09-15 18:38:23 +08:00
@MrXiong http://172.19.3.40:8998/solr/core_alias/select?q=_copy_field:{!geofilt pt=32.163793,118.703287 sfield=baidu_lat_lng d=2 score=distance}&sort=score asc&wt=json&fq=baidu_lat_lng:*
|
 |
5
cevincheung 2017-09-15 18:39:56 +08:00
还是 elasticsearch 好
|
 |
6
fox0001 2017-09-15 20:25:03 +08:00
把没有 baidu_lat_lng 的数据过滤掉
|
|
8
MrXiong OP @fox0001 我不知道咋过滤，因为用的 alias，也 google 了，对于多 collection 查询先关的比较少，官方 doc 这块也少，就不知道咋解决了
|
|
9
MrXiong OP @cevincheung es 现在确实很流行，但是没办法公司用的 solr
|
Select Language