我正在尝试将JSON数据映射到列。我需要的一切都包含在data
数组中。例如:
{"data":
[
{"stamp":1348249585,"date":"2012-09-21 17:46","blur":"blurs/1.jpg","img":["imgs/1.jpg",[1600,1200]],"thumb":["thumbs/1.jpg",[150,113]]},
{"stamp":1375607177,"date":"2013-08-04 09:06","blur":"blurs/2.jpg","img":["imgs/2.jpg",[1600,1200]],"thumb":["thumbs/2.jpg",[150,113]]},
{"stamp":1376242046,"date":"2013-08-11 17:27","blur":"blurs/3.jpg","img":["imgs/3.jpg",[1600,1200]],"thumb":["thumbs/3.jpg",[150,113]]},
...
目前,我正在使用动态生成条件的#>>
运算符:
1)计算data
数组
2)创建varchar数组条件以匹配每个“行”
3)处理各行的元素。
我的解决方案是:
select
json_row,
json_row#>>'{stamp}' as stamp,
json_row#>>'{date}' as date,
json_row#>>'{img,0}' as img,
json_row#>>'{img,1,0}' as img_width,
json_row#>>'{img,1,1}' as img_height,
json_row#>>'{thumb,0}' as thumb,
json_row#>>'{thumb,1,0}' as thumb_width,
json_row#>>'{thumb,1,1}' as thumb_height,
json_row#>>'{thumb,2,0}' as th_x1,
json_row#>>'{thumb,2,1}' as th_y1,
json_row#>>'{thumb,3,0}' as th_x2,
json_row#>>'{thumb,3,1}' as th_y2,
json_row#>>'{blur}'
from
(
select
(gjson#>>c.cond)::json json_row
from
gallery_json
cross join (
select ('{data,'|| generate_series(0,
(select json_array_length((gjson#>>'{data}')::json) from gallery_json) - 1) || '}')::varchar[] cond) c
) rd
这很有效,我可以忍受它。但是,鉴于这是我在PostgreSQL中使用JSON的第一个练习,我想问一下是否有更好的方法将类似的JSON结构映射到行。我认为我应该使用json_populate_recordset
,但到目前为止还没有成功。
SQLFiddle当前不起作用,示例数据:
--drop table if exists gallery_json;
create table gallery_json(gjson json);
insert into gallery_json (gjson)
select '{"data":[
{"stamp":1348249585,"date":"2012-09-21 17:46","blur":"blurs/1.jpg","img":["imgs/1.jpg",[1600,1200]],"thumb":["thumbs/1.jpg",[150,113]]},
{"stamp":1376659268,"date":"2013-08-16 13:21","blur":"blurs/7.jpg","img":["imgs/7.jpg",[1600,539]],"thumb":["thumbs/7.jpg",[267,112],[332,112],[32,0]]},
{"stamp":1376666907,"date":"2013-08-16 15:28","blur":"blurs/8.jpg","img":["imgs/8.jpg",[1600,1200]],"thumb":["thumbs/8.jpg",[150,113]]},
{"stamp":1379016669,"date":"2013-09-12 20:11","blur":"blurs/11.jpg","img":["imgs/11.jpg",[1600,590]],"thumb":["thumbs/11.jpg",[267,112],[304,112],[18,0]]},
{"stamp":1383304027,"date":"2013-11-01 11:07","blur":"blurs/17.jpg","img":["imgs/17.jpg",[1600,1200]],"thumb":["thumbs/17.jpg",[150,113]]}]
,"blur":[600,336],"thumb":{"min":[150,112],"max":[267,200]}}'::json
答案 0 :(得分:3)
with data as (
select json_array_elements(gjson -> 'data') as data
from gallery_json
)
select
(data -> 'stamp')::text::bigint as stamp,
(data -> 'date')::text::timestamp as date,
(data -> 'blur')::text as blur,
(data -> 'img' -> 0)::text as img,
(data -> 'img' -> 1 -> 0)::text::int as img_width,
(data -> 'img' -> 1 -> 1)::text::int as img_height,
(data -> 'thumb' -> 0)::text as thumb,
(data -> 'thumb' -> 1 -> 0)::text::int as thumb_width,
(data -> 'thumb' -> 1 -> 1)::text::int as thumb_height,
(data -> 'thumb' -> 2 -> 0)::text::int as th_x1,
(data -> 'thumb' -> 2 -> 1)::text::int as th_y1,
(data -> 'thumb' -> 3 -> 0)::text::int as th_x2,
(data -> 'thumb' -> 3 -> 1)::text::int as th_y2
from data