运行:PostgreSQL 9.6.2
我将数据存储在一个以键/值对形式存在的表中。 “key”实际上是json对象的路径,每个对象都是一个属性。因此,例如,如果键是“cogs”,“props1”,“value”,那么json对象就是这样:
{
"cogs":{
"props1": {
"value": 100
}
}
}
如果可能的话,我想以某种方式通过SQL查询重建json对象。这是测试数据集:
drop table if exists test_table;
CREATE TABLE test_table
(
id serial,
file_id integer NOT NULL,
key character varying[],
value character varying,
status character varying
)
WITH (
OIDS = FALSE
)
TABLESPACE pg_default;
insert into test_table (file_id, key, value, status)
values (1, '{"cogs","description"}', 'some awesome cog', 'approved');
insert into test_table (file_id, key, value, status)
values (1, '{"cogs","display"}', 'Giant Cog', null);
insert into test_table (file_id, key, value, status)
values (1, '{"cogs","props1","value"}', '100', 'not verified');
insert into test_table (file_id, key, value, status)
values (1, '{"cogs","props1","id"}', 26, 'approved');
insert into test_table (file_id, key, value, status)
values (1, '{"cogs","props1","dimensions"}', '{"200", "300"}', null);
insert into test_table (file_id, key, value, status)
values (1, '{"cogs","props2","value"}', '200', 'not verified');
insert into test_table (file_id, key, value, status)
values (1, '{"cogs","props2","id"}', 27, 'approved');
insert into test_table (file_id, key, value, status)
values (1, '{"cogs","props2","dimensions"}', '{"700", "800"}', null);
insert into test_table (file_id, key, value, status)
values (1, '{"widgets","description"}', 'some awesome widget', 'approved');
insert into test_table (file_id, key, value, status)
values (1, '{"widgets","display"}', 'Giant Widget', null);
insert into test_table (file_id, key, value, status)
values (1, '{"widgets","props1","value"}', '100', 'not verified');
insert into test_table (file_id, key, value, status)
values (1, '{"widgets","props1","id"}', 28, 'approved');
insert into test_table (file_id, key, value, status)
values (1, '{"widgets","props1","dimensions"}', '{"200", "300"}', null);
insert into test_table (file_id, key, value, status)
values (1, '{"widgets","props2","value"}', '200', 'not verified');
insert into test_table (file_id, key, value, status)
values (1, '{"widgets","props2","id"}', 29, 'approved');
insert into test_table (file_id, key, value, status)
values (1, '{"widgets","props2","dimensions"}', '{"900", "1000"}', null);
我正在寻找的输出采用以下格式:
{
"cogs": {
"description": "some awesome cog",
"display": "Giant Cog",
"props1": {
"value": 100,
"id": 26,
"dimensions": [200, 300]
},
"props2": {
"value": 200,
"id": 27,
"dimensions": [700, 800]
}
},
"widgets": {
"description": "some awesome widget",
"display": "Giant Widget",
"props1": {
"value": 100,
"id": 28,
"dimensions": [200, 300]
},
"props2": {
"value": 200,
"id": 29,
"dimensions": [900, 1000]
}
}
}
我面临的一些问题:
“value”列可以包含文本,数字和数组。无论出于何种原因,使用knex.js的服务器端代码将整数数组(即[100,300])存储到postgres中,格式如下:{“100”,“300”}。我需要确保将其作为整数数组提取出来。
尽量让这种动态变得更好。也许是一个递归过程来确定存在“关键”路径的深度......而不是硬编码数组查找值。
json_object_agg可以很好地将属性组合到一个对象中。但是,当命中空值时它会中断。因此,如果“key”列只有两个值(即“cogs”,“description”),我试图聚合一个长度为3的数组(即“cogs”,“props1”,“value”),除非我只过滤长度为3的数组,否则它会破坏。
保留输入的顺序。下面的@klin解决方案非常棒,让我在那里获得95%的成功。但是我没有提到保留订购......
答案 0 :(得分:3)
动态解决方案需要一些工作。
首先,我们需要一个函数将文本数组和值转换为jsonb对象。
create or replace function keys_to_object(keys text[], val text)
returns jsonb language plpgsql as $$
declare
i int;
rslt jsonb = to_jsonb(val);
begin
for i in select generate_subscripts(keys, 1, true) loop
rslt := jsonb_build_object(keys[i], rslt);
end loop;
return rslt;
end $$;
select keys_to_object(array['key', 'subkey', 'subsub'], 'value');
keys_to_object
------------------------------------------
{"key": {"subkey": {"subsub": "value"}}}
(1 row)
接下来,另一个合并jsonb对象的函数(参见Merging JSONB values in PostgreSQL)。
create or replace function jsonb_merge(a jsonb, b jsonb)
returns jsonb language sql as $$
select
jsonb_object_agg(
coalesce(ka, kb),
case
when va isnull then vb
when vb isnull then va
when jsonb_typeof(va) <> 'object' or jsonb_typeof(vb) <> 'object' then vb
else jsonb_merge(va, vb) end
)
from jsonb_each(a) e1(ka, va)
full join jsonb_each(b) e2(kb, vb) on ka = kb
$$;
select jsonb_merge('{"key": {"subkey1": "value1"}}', '{"key": {"subkey2": "value2"}}');
jsonb_merge
-----------------------------------------------------
{"key": {"subkey1": "value1", "subkey2": "value2"}}
(1 row)
最后,让我们根据上述功能
创建聚合create aggregate jsonb_merge_agg(jsonb)
(
sfunc = jsonb_merge,
stype = jsonb
);
我们完成了:
select jsonb_pretty(jsonb_merge_agg(keys_to_object(key, translate(value, '{}"', '[]'))))
from test_table;
jsonb_pretty
----------------------------------------------
{ +
"cogs": { +
"props1": { +
"id": "26", +
"value": "100", +
"dimensions": "[200, 300]" +
}, +
"props2": { +
"id": "27", +
"value": "200", +
"dimensions": "[700, 800]" +
}, +
"display": "Giant Cog", +
"description": "some awesome cog" +
}, +
"widgets": { +
"props1": { +
"id": "28", +
"value": "100", +
"dimensions": "[200, 300]" +
}, +
"props2": { +
"id": "29", +
"value": "200", +
"dimensions": "[900, 1000]" +
}, +
"display": "Giant Widget", +
"description": "some awesome widget"+
} +
}
(1 row)