,get_json_object(tmp,'$.sex') as sex from (select '[{"user_name":"chimchim","age":30,"sex":"woman"},{"user_name":"zonzon","age":2,"sex":"man"}]' as json_str) a lateral view explode(split(regexp_replace(regexp_replace(json_str , '\\[|\\]',''),'\\}\\,\\{',...
SELECT get_json_object('[{"NAME":"张三","ID":"1"},{"NAME":"李四","ID":"2"}]','$[].NAME'); 1. 运行结果: 2.2假如只是想获取json数组中某特定字段的全部值,要分行 假如只想要将json数组分行,用explode()就行,但是只能展示json数组分出来的行,假如要解析出数组中每个json的某一字段值,那么...
-- 利用字符串拼接将 json array 转化成 json object concat("{\"data\":", json_arr, "}") as json_arr_concat from demo_1 as demo_2; --然后我们使用 JsonExpandExt 去推断数据结构 run demo_2 as JsonExpandExt.`` where inputCol="json_arr_concat" and structColumn="true" as demo_3; s...
get_json_object(get_json_object(sale_info, '$[0]'), '$.userCount') as userCount, get_json_object(get_json_object(sale_info, '$[0]'), '$.score') as score from explode_test; 3、提取所有key值 先用正则变换成字典形式 select get_json_object(a.col, '$.source') as source, get_...
图是从你真的了解Lateral View explode吗?中取的,不太合适,但基本流程是一样的 json_tuple在这个过程中也是有一定的性能损耗的 3、从功能多样性来看(这个和性能无关啦) get_json_object方法可以处理的 path更为丰富,能够支持正则、支持嵌套、取多层等。
I have one column in hive table wherein I have stored entire json data map as string. I am using get_json_object to fetch each element of json. However I have one element which is array of structs. I need to explode that array of structs. Event Sample: {"evtDataMap...
上面是搜索网上的结论的截图,基本都会认为json_tuple比get_json_object高效,理由是:取多个key值时,json_tuple只解析一次,而get_json_object需要解析多次。 我们来看实际情况: 1、get_json_object缓存jsonObject (并非无脑解析多次) 一般情况下,由json字符串序列化成jsonObject这个过程是最耗费时间的。从代码中可以看...
get_json_object 用法 如果表tableUser的字段userinfo 是json字符串, 为了获取jsonstring中某个key的值,可以使用get_json_object,如: 表中userinfo :{"user":{"name":"张三","age":"20"}} 想得到name的值“张三”,sql语句如下: select get_json_object(userinfo,'$.user.name') as user_name from ...
get_json_object 语法:get_json_object(json_string, '$.key') 说明:解析json的字符串json_string,...总结:json_tuple相当于get_json_object的优势就是一次可以解析多个json字段。但是如果我们有个json数组,这两个函数都无法处理。...array或者map类型的数据作为输入,然后将array或map里面的元素按照每行的形式...
get_json_object(single_json_table.single_json, '$.orderPromotionType') AS log FROM ( SELECT explode('[{"orderPromotionId":"order_149","orderPromotionTag":"日亚美妆专题-2件8折","orderPromotionType":"10","orderPromotionValue":"110.60"}]')assingle_json--FROM jt ...