[英]"Unknown" datatype when using Psycopg2 and unnest
我正在嘗試使用 python 將 UK Companies House csv 文件中的數據批量加載到 PostgreSQL 中。
我將每一行數據轉換成一個字典列表,然后使用 unnest 語句將數據解包成一個單一的高容量 sql 語句,這是我正在做的一個示例,(源中有更多的字段)...
def buildDict(row)
clean_name = row[0].decode('utf-8').upper()
country_code = lookups.getCountryCodeFromName(row[14])
if len(country_code) > 2:
country_code = None
insert_dict = {
'companyname': row[0],
'companynumber': row[1],
'regaddress_careof': row[2],
'regaddress_pobox': row[3],
'dissolutiondate': row[13],
}
# convert 'None' and '' strings to None
for k, v in six.iteritems(insert_dict):
insert_dict[k] = set_to_null(v)
def fastInsert(data):
sql='''
INSERT INTO uk_data.companies_house(
companyname,
companynumber,
regaddress_careof,
regaddress_pobox,
dissolutiondate
)
SELECT
unnest( %(companyname)s ),
unnest( %(companynumber)s ),
unnest( %(regaddress_careof)s ),
unnest( %(regaddress_pobox)s ),
unnest( %(dissolutiondate)s )
;
'''
companyname=[str(r['companyname']) for r in data]
companynumber=[str(r['companynumber']) for r in data]
regaddress_careof=[str(r['regaddress_careof']) for r in data]
regaddress_pobox=[str(r['regaddress_pobox']) for r in data]
dissolutiondate=[datetime.strptime(r['dissolutiondate'], "%d/%m/%Y") if r['dissolutiondate'] else None for r in data]
execute(sql,locals())
def execute(sql,params={}):
with connect() as connection:
with connection.cursor() as cursor:
if params:
cursor.execute(sql,params)
else:
cursor.execute(sql)
只要將所有內容都轉換為字符串,此代碼就可以正常工作,但是當我嘗試將數據轉換為日期時,每次日期記錄沒有值時都會出現以下錯誤(注意,此值被條件設置為None
,所以應該加載到 PostgreSQL 中)。
Error could not determine polymorphic type because input has type "unknown"
我嘗試在 unnest 語句中將類型轉換為::DATE
,如下所示:
sql='''
INSERT INTO uk_data.companies_house(
companyname,
companynumber,
regaddress_careof,
regaddress_pobox,
dissolutiondate
)
SELECT
unnest( %(companyname)s ),
unnest( %(companynumber)s ),
unnest( %(regaddress_careof)s ),
unnest( %(regaddress_pobox)s ),
unnest( %(dissolutiondate)s )::DATE
;
'''
但這無濟於事。 我的當地人的打印顯示單個記錄的以下內容:
('these are my locals: ', {'regaddress_posttown': ['LEEDS'], 'regaddress_addressline1': ['METROHOUSE 57 PEPPER ROAD'], 'regaddress_addressline2': ['HUNSLET'], 'regaddress_careof': ['None'], 'companystatus': ['Active'], 'companycategory': ['Private Limited Company'], 'companyname': ['! LTD'], 'countryoforigin': ['None'], 'regaddress_pobox': ['None'], 'regaddress_country': ['None'], 'dissolutiondate': None, 'regaddress_postcode': ['LS10 2RU'], 'regaddress_county': ['YORKSHIRE'], 'sql': '
INSERT INTO uk_data.companies_house(
companyname,
companynumber,
regaddress_careof,
regaddress_pobox,
regaddress_addressline1,
regaddress_addressline2,
regaddress_posttown,
regaddress_county,
regaddress_country,
regaddress_postcode,
companycategory,
companystatus,
countryoforigin,
dissolutiondate
)
SELECT
unnest( %(companyname)s ),
unnest( %(companynumber)s ),
unnest( %(regaddress_careof)s ),
unnest( %(regaddress_pobox)s ),
unnest( %(regaddress_addressline1)s ),
unnest( %(regaddress_addressline2)s ),
unnest( %(regaddress_posttown)s ),
unnest( %(regaddress_county)s ),
unnest( %(regaddress_country)s ),
unnest( %(regaddress_postcode)s ),
unnest( %(companycategory)s ),
unnest( %(companystatus)s ),
unnest( %(countryoforigin)s ),
unnest( %(dissolutiondate)s )
;
', 'r': {'regaddress_posttown': 'LEEDS', 'regaddress_careof': None, 'companystatus': 'Active', 'companynumber': '08209948', 'regaddress_addressline1': 'METROHOUSE 57 PEPPER ROAD', 'regaddress_addressline2': 'HUNSLET', 'companycategory': 'Private Limited Company', 'companyname': '! LTD', 'countryoforigin': None, 'regaddress_pobox': None, 'regaddress_country': None, 'dissolutiondate': None, 'regaddress_postcode': 'LS10 2RU', 'regaddress_county': 'YORKSHIRE'}, 'data': [{'regaddress_posttown': 'LEEDS', 'regaddress_careof': None, 'companystatus': 'Active', 'companynumber': '08209948', 'regaddress_addressline1': 'METROHOUSE 57 PEPPER ROAD', 'regaddress_addressline2': 'HUNSLET', 'companycategory': 'Private Limited Company', 'companyname': '! LTD', 'countryoforigin': None, 'regaddress_pobox': None, 'regaddress_country': None, 'dissolutiondate': None, 'regaddress_postcode': 'LS10 2RU', 'regaddress_county': 'YORKSHIRE'}], 'companynumber': ['08209948']})
我不確定這是否相關,但我注意到局部變量一旦從 dict 中取出,就會全部放在一個列表中,如下所示: ['None']
但是導致問題的日期變量( dissolutiondate
) 作為真正的None
值給出。
好的。 所以問題原來是 psycopg2 和 postgresql 在處理數組時交互的方式,pscyopg 中曾經有一個錯誤,不允許將空值數組導入 postgres,詳細如下:
https://github.com/psycopg/psycopg2/issues/285
正如 Vao Tsun 指出的那樣,解決方案是在每個 unnest 語句的強制轉換中,這必須是顯式的,但還必須在每個數據類型說明符之后包含[]
括號。
我也在這里錯誤地將我的變量轉換為 python 中的字符串:
companyname=[str(r['companyname']) for r in data]
這導致None
值變成了'None'
值的字符串。
這是正確代碼的示例:
SELECT
unnest( %(companyname)s::TEXT[] ),
unnest( %(companynumber)s::TEXT[] ),
unnest( %(regaddress_careof)s::TEXT[] ),
unnest( %(regaddress_pobox)s::TEXT[] ),
unnest( %(regaddress_addressline1)s::TEXT[] ),
unnest( %(regaddress_addressline2)s::TEXT[] ),
unnest( %(regaddress_posttown)s::TEXT[] ),
unnest( %(regaddress_county)s::TEXT[] ),
unnest( %(regaddress_country)s::TEXT[] ),
unnest( %(regaddress_postcode)s::TEXT[] ),
unnest( %(companycategory)s::TEXT[] ),
unnest( %(companystatus)s::TEXT[] ),
unnest( %(countryoforigin)s::TEXT[] ),
unnest( %(dissolutiondate)s::TIMESTAMP[] ),
和
companyname=[(r['companyname']) for r in data]
companynumber=[(r['companynumber']) for r in data]
regaddress_careof=[(r['regaddress_careof']) for r in data]
regaddress_pobox=[(r['regaddress_pobox']) for r in data]
regaddress_addressline1=[(r['regaddress_addressline1']) for r in data]
regaddress_addressline2=[(r['regaddress_addressline2']) for r in data]
regaddress_posttown=[(r['regaddress_posttown']) for r in data]
regaddress_county=[(r['regaddress_county']) for r in data]
regaddress_country=[(r['regaddress_country']) for r in data]
regaddress_postcode=[(r['regaddress_postcode']) for r in data]
companycategory=[(r['companycategory']) for r in data]
companystatus=[(r['companystatus']) for r in data]
countryoforigin=[(r['countryoforigin']) for r in data]
dissolutiondate=[datetime.strptime(r['dissolutiondate'], "%d/%m/%Y") if r['dissolutiondate'] else None for r in data]
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