Postgres Sql在查询中获取带有限制的记录总数

Question

我创建了一个表并尝试从表记录中创建一个json数组，在该表中它将JSON数组作为{"total_record":2222,data[{row 1 data},{row 2 data}]}返回

下面的

是对同一

的查询

SELECT row_to_json(selected_records)::text AS data
FROM  (   
   SELECT min(total_count) AS total_count
        , array_to_json(array_agg(row_to_json(ROW(name,id,gender)))) AS data
   FROM (
      SELECT *
           , count(*) over () AS total_count  -- shouldn't show up in result
      FROM   test

      GROUP  BY ID
      LIMIT  1
      ) records
   ) selected_records;

但有些我如何得到像这样的json

{"total_count":277938,"data":[{"f1":"Carol Rau","f2":1,"f3":"M"}]}

我需要列字段名称而不是f1，f2，f3

{"total_count":277938,"data":[{"name":"Carol Rau","id":1,"gender":"M"}]}

DDL相同：

create table public.test (name varchar, email varchar, phone bigint, address varchar, gender varchar, id serial primary key) 
INSERT INTO "public"."test" ("name", "email", "phone", "address", "gender", "id") VALUES ('Carol Rau', 'Computers, Electronics & Games', '1000000000', 'Suite 843 489 Annabell Islands, North Katlynland, UT 90089-0425', 'M', '1');
INSERT INTO "public"."test" ("name", "email", "phone", "address", "gender", "id") VALUES ('Vicente Sipes', 'Games', '1000000000', 'Suite 870 21754 Dare Ville, Thielstad, WA 97243-0588', 'M', '2');
INSERT INTO "public"."test" ("name", "email", "phone", "address", "gender", "id") VALUES ('Jadyn Kris', 'Kids', '1000000000', '5136 Harmon Dale, Jeramiemouth, VT 17688', 'M', '21');
INSERT INTO "public"."test" ("name", "email", "phone", "address", "gender", "id") VALUES ('Melyna Lueilwitz', 'Automotive, Music & Outdoors', '1000000000', 'Suite 578 0765 Paucek Meadow, Torphyborough, AR 41921', 'M', '22');
INSERT INTO "public"."test" ("name", "email", "phone", "address", "gender", "id") VALUES ('Phoebe Herzog Sr.', 'Movies', '1000000000', '82869 Carrie Ridges, East Tavaresmouth, AR 62150', 'M', '23');
INSERT INTO "public"."test" ("name", "email", "phone", "address", "gender", "id") VALUES ('Cierra Luettgen', 'Toys', '1000000000', '326 Maida Pine, Aylamouth, IL 03742', 'M', '90');

Answer 1

<强> EDITED

select row_to_json(t) from (
  select
    (select count(*) from public.test) as total_count,
    (select json_agg(row_to_json(tt))
       from (select name, id, gender from public.test limit 1) tt) as data
) t