在PostgreSQL 9.4中，我们实现了以下python函数。它也可以用于PostgreSQL 9.3。

create language plpython2u;

create or replace function json_set(jdata jsonb, jpaths jsonb, jvalue jsonb) returns jsonb as $$
import json

a = json.loads(jdata)
b = json.loads(jpaths)

if a.__class__.__name__ != 'dict' and a.__class__.__name__ != 'list':
  raise plpy.Error("The json data must be an object or a string.")

if b.__class__.__name__ != 'list':
   raise plpy.Error("The json path must be an array of paths to traverse.")

c = a
for i in range(0, len(b)):
  p = b[i]
  plpy.notice('p == ' + str(p))

  if i == len(b) - 1:
    c[p] = json.loads(jvalue)

  else:
    if p.__class__.__name__ == 'unicode':
      plpy.notice("Traversing '" + p + "'")
      if c.__class__.__name__ != 'dict':
        raise plpy.Error("  The value here is not a dictionary.")
      else:
        c = c[p]

    if p.__class__.__name__ == 'int':
      plpy.notice("Traversing " + str(p))
      if c.__class__.__name__ != 'list':
        raise plpy.Error("  The value here is not a list.")
      else:
        c = c[p]

    if c is None:
      break    

return json.dumps(a)
$$ language plpython2u ;

使用示例:

create table jsonb_table (jsonb_column jsonb);
insert into jsonb_table values
('{"cars":["Jaguar", {"type":"Unknown","partsList":[12, 34, 56]}, "Atom"]}');

select jsonb_column->'cars'->1->'partsList'->2, jsonb_column from jsonb_table;

update jsonb_table
set jsonb_column = json_set(jsonb_column, '["cars",1,"partsList",2]', '99');

select jsonb_column->'cars'->1->'partsList'->2, jsonb_column from jsonb_table;

Note that for a previous employer, I have written a set of C functions for manipulating JSON data as text (not as a json or jsonb type) for PostgreSQL 7, 8 and 9. For example, extracting data with json_path('{"obj":[12, 34, {"num":-45.67}]}', '$.obj[2]['num']'), setting data with json_path_set('{"obj":[12, 34, {"num":-45.67}]}', '$.obj[2]['num']', '99.87') and so on. It took about 3 days work, so if you need it to run on legacy systems and have the time to spare, it may be worth the effort. I imagine the C version is much faster than the python version.

这个解决方案是jsonb_set的替代方案，即使JSONB的列中有NULL，它也能工作。只有当对象存在时，jsonb_set才有效。

在下面的示例中，settings是用户表上的JSONB列。

 UPDATE public."Users"
 SET settings = coalesce("settings", '{}')::jsonb || '{ "KeyToSet" : "ValueToSet" }'
 WHERE id=35877;

从PostgreSQL 14开始，你可以使用jsonb下标直接访问JSON字段的元素，并最终更新它们。

UPDATE test SET data['a'] = '5' WHERE data['b'] = '2';

遗憾的是，我没有在文档中找到任何东西，但您可以使用一些变通方法，例如您可以编写一些扩展函数。

例如，在Python中:

CREATE or REPLACE FUNCTION json_update(data json, key text, value json)
returns json
as $$
from json import loads, dumps
if key is None: return data
js = loads(data)
js[key] = value
return dumps(js)
$$ language plpython3u

然后

update test set data=json_update(data, 'a', to_json(5)) where data->>'b' = '2';

例如，我的字符串是这样的: {" a1 ":{“a11”:“x”,“a22”:“y”、“a33”:“z”}}

我使用临时表更新jsons，这对于相当小的数据量(<1.000.000)已经足够了。我找到了另一条路，但后来去度假了，就忘了……

所以。查询将是这样的:

with temp_table as (
select 
a.id,
a->'a1'->>'a11' as 'a11',
a->'a1'->>'a22' as 'a22',
a->'a1'->>'a33' as 'a33',
u1.a11updated
from foo a
join table_with_updates u1 on u1.id = a.id)
    update foo a
    set a = ('{"a1": {"a11": "'|| t.a11updated ||'",
        "a22":"'|| t.a22 ||'",
        "a33":"'|| t.a33 ||'"}}')::jsonb
    from temp_table t
    where t.id = a.id;

它与string的关系比json更大，但它是有效的。基本上，它将所有数据拉到临时表中，在用备份的数据插入concat漏洞时创建一个字符串，并将其转换为jsonb。

Json_set可能更有效，但我仍然掌握了它的窍门。当我第一次尝试使用它时，我完全把弦弄乱了……

在9.5中使用jsonb_set-

UPDATE objects
SET body = jsonb_set(body, '{name}', '"Mary"', true)
WHERE id = 1; 

其中body是jsonb列类型。