我使用Python写postgres数据库:
sql_string = "INSERT INTO hundred (name,name_slug,status) VALUES ("
sql_string += hundred + ", '" + hundred_slug + "', " + status + ");"
cursor.execute(sql_string)
但由于我的一些行是相同的,我得到以下错误:
psycopg2.IntegrityError: duplicate key value
violates unique constraint "hundred_pkey"
我怎么能写一个'插入,除非这行已经存在' SQL语句?
我见过这样的复杂语句:
IF EXISTS (SELECT * FROM invoices WHERE invoiceid = '12345')
UPDATE invoices SET billed = 'TRUE' WHERE invoiceid = '12345'
ELSE
INSERT INTO invoices (invoiceid, billed) VALUES ('12345', 'TRUE')
END IF
但首先,这对我需要的东西来说是不是太过了,其次,我怎么能把它们作为一个简单的字符串来执行呢?
这是一个通用的python函数,给定表名,列和值,生成相当于postgresql的upsert。
进口json
def upsert(table_name, id_column, other_columns, values_hash):
template = """
WITH new_values ($$ALL_COLUMNS$$) as (
values
($$VALUES_LIST$$)
),
upsert as
(
update $$TABLE_NAME$$ m
set
$$SET_MAPPINGS$$
FROM new_values nv
WHERE m.$$ID_COLUMN$$ = nv.$$ID_COLUMN$$
RETURNING m.*
)
INSERT INTO $$TABLE_NAME$$ ($$ALL_COLUMNS$$)
SELECT $$ALL_COLUMNS$$
FROM new_values
WHERE NOT EXISTS (SELECT 1
FROM upsert up
WHERE up.$$ID_COLUMN$$ = new_values.$$ID_COLUMN$$)
"""
all_columns = [id_column] + other_columns
all_columns_csv = ",".join(all_columns)
all_values_csv = ','.join([query_value(values_hash[column_name]) for column_name in all_columns])
set_mappings = ",".join([ c+ " = nv." +c for c in other_columns])
q = template
q = q.replace("$$TABLE_NAME$$", table_name)
q = q.replace("$$ID_COLUMN$$", id_column)
q = q.replace("$$ALL_COLUMNS$$", all_columns_csv)
q = q.replace("$$VALUES_LIST$$", all_values_csv)
q = q.replace("$$SET_MAPPINGS$$", set_mappings)
return q
def query_value(value):
if value is None:
return "NULL"
if type(value) in [str, unicode]:
return "'%s'" % value.replace("'", "''")
if type(value) == dict:
return "'%s'" % json.dumps(value).replace("'", "''")
if type(value) == bool:
return "%s" % value
if type(value) == int:
return "%s" % value
return value
if __name__ == "__main__":
my_table_name = 'mytable'
my_id_column = 'id'
my_other_columns = ['field1', 'field2']
my_values_hash = {
'id': 123,
'field1': "john",
'field2': "doe"
}
print upsert(my_table_name, my_id_column, my_other_columns, my_values_hash)
我正在寻找一个类似的解决方案,试图找到在PostgreSQL和HSQLDB中工作的SQL。(HSQLDB使这变得困难。)以你的例子为基础,这是我在其他地方发现的格式。
sql = "INSERT INTO hundred (name,name_slug,status)"
sql += " ( SELECT " + hundred + ", '" + hundred_slug + "', " + status
sql += " FROM hundred"
sql += " WHERE name = " + hundred + " AND name_slug = '" + hundred_slug + "' AND status = " + status
sql += " HAVING COUNT(*) = 0 );"
我知道这个问题是很久以前提出的,但我想这可能会对一些人有所帮助。我认为最简单的方法就是触发。例如:
Create Function ignore_dups() Returns Trigger
As $$
Begin
If Exists (
Select
*
From
hundred h
Where
-- Assuming all three fields are primary key
h.name = NEW.name
And h.hundred_slug = NEW.hundred_slug
And h.status = NEW.status
) Then
Return NULL;
End If;
Return NEW;
End;
$$ Language plpgsql;
Create Trigger ignore_dups
Before Insert On hundred
For Each Row
Execute Procedure ignore_dups();
从psql提示符(或者您喜欢的直接在数据库上执行查询的方式)执行这段代码。然后你可以像往常一样从Python中插入。例如:
sql = "Insert Into hundreds (name, name_slug, status) Values (%s, %s, %s)"
cursor.execute(sql, (hundred, hundred_slug, status))
注意,正如@Thomas_Wouters已经提到的,上面的代码利用了参数,而不是连接字符串。