我有下表:
CREATE TABLE mytable (
id serial PRIMARY KEY
, employee text UNIQUE NOT NULL
, data jsonb
);
使用以下数据:
INSERT INTO mytable (employee, data)
VALUES
('Jim', '{"sales_tv": [{"value": 10, "yr": "2010", "loc": "us"}, {"value": 5, "yr": "2011", "loc": "europe"}, {"value": 40, "yr": "2012", "loc": "asia"}], "sales_radio": [{"value": 11, "yr": "2010", "loc": "us"}, {"value": 8, "yr": "2011", "loc": "china"}, {"value": 76, "yr": "2012", "loc": "us"}], "another_key": "another value"}'),
('Rob', '{"sales_radio": [{"value": 7, "yr": "2014", "loc": "japan"}, {"value": 3, "yr": "2009", "loc": "us"}, {"value": 37, "yr": "2011", "loc": "us"}], "sales_tv": [{"value": 4, "yr": "2010", "loc": "us"}, {"value": 18, "yr": "2011", "loc": "europe"}, {"value": 28, "yr": "2012", "loc": "asia"}], "another_key": "another value"}')
请注意除了“sales_tv”和“sales_radio”之外还有其他键。对于下面的查询,我只需要关注“sales_tv”和“sales_radio”。
我正在尝试为任何以“sales_”开头的内容返回Jim的对象列表。在列表中的每个对象中,我只需要返回值和yr(忽略“位置”或任何其他键),例如:
employee | sales_
Jim | {"sales_tv": [{"value": 10, "yr": "2010"}, {"value": 5, "yr": "2011"}, {"value": 40, "yr": "2012"}],
"sales_radio": [{"value": 11, "yr": "2010"}, {"value": 8, "yr": "2011"}, {"value": 76, "yr": "2012"}]}
我能够获得每个值,但没有年份,也没有我想要的列表格式:
SELECT t.employee, json_object_agg(a.k, d.value) AS sales
FROM mytable t
, jsonb_each(t.data) a(k,v)
, jsonb_to_recordset(a.v) d(yr text, value float)
WHERE t.employee = 'Jim'
AND a.k LIKE 'sales_%'
GROUP BY 1
结果:
employee | sales
---------- | --------
Jim | { "sales_tv" : 10, "sales_tv" : 5, "sales_tv" : 40, "sales_radio" : 11, "sales_radio" : 8, "sales_radio" : 76 }
答案 0 :(得分:0)
原则与the question you asked yesterday相同,第一个查询(即使这个问题是昨天的第二个查询):剥离json
数据中的层次结构层,然后用任何数据重新组合它您感兴趣的数据,采用新的json
格式。
SELECT employee, json_object_agg(k, jarr) AS sales
FROM (
SELECT t.employee, a.k,
json_agg(json_build_object('value', d.value, 'yr', d.yr)) AS jarr
FROM mytable t,
jsonb_each(t.data) a(k, v),
jsonb_to_recordset(a.v) d(yr text, value float)
WHERE t.employee = 'Jim'
AND a.k like 'sales_%'
GROUP BY 1, 2) sub
GROUP BY 1;
在FROM
子句中,使用jsonb_each
和jsonb_to_recordset
等函数分解JSON层次结构。正如最后一个函数的名称所暗示的那样,每个函数都会生成一组可以使用的记录,就像使用任何其他表及其列一样。在列选择列表中,选择所需的数据以及相应的聚合函数json_agg
和json_object_agg
以将JSON结果重新组合在一起。对于每个层次结构,您需要一个聚合函数,因此需要一个级别的子查询。