read_gbq 函数中的 REGEXP_EXTRACT 中的正则表达式失败
Regular Expression failing in REGEXP_EXTRACT within the read_gbq function
我无法在 read_gbq 函数中成功执行正则表达式函数(即 REGEXP_EXTRACT)。
read_gbq 来自 pandas_gbq 模块。
我的Python程序中的import语句是:from pandas_gbq import read_gbq。
我环境中pandas-gbq的版本是:0.8.0
正则表达式失败,我认为,由于未能识别双引号上的黑色斜线转义字符。
此正则表达式在 Big Query 和使用 Python 的在线 RegEx 测试器中运行良好(参见下面的代码部分)。
感谢您的时间和关注
component = 'CO_ORDER_SUMMARY'
def Read_CO_Order_Summary():
query = ('select co.timestamp, co.jsonPayload._userid_ as co_SVOC, co.jsonPayload.response, \
REGEXP_EXTRACT(co.jsonPayload.response, customerOrderId\":\"([^\"]*)\".*) as CustomerOrderID \
from `exported_logs_v2.mcc_checkout_service_servicelog_20190623` co '
'where co.jsonPayload.component = ' '"' + component + '"'
'order by co.timestamp, co.jsonPayload._userid_ '
'limit 1'
)
co_agg = read_gbq(query, projectid, dialect='standard')
return(co_agg)
co_agg = Read_CO_Order_Summary()
**ERROR MESSAGE**
GenericGBQException: Reason: 400 Syntax error: Expected “)” but got string literal “:” at [1:253]
****************************************
IN REGEX101.com TESTER (using the Python "flavor" setting)
REGEX
customerOrderId\":\"([^\"]*)\".*
STRING
{"lastModifiedDate":"2019-06-23 16:50:18.212","localStoreId":1515,"cartId":"HC100006597310","customerOrderId":"W838207358","
RESULT
Match 1
Full match customerOrderId":"W838207358","
Group 1. W838207358
******************* Big Query ******************
SELECT timestamp, jsonpayload._userid_, jsonpayload.response,
-- REGEXP_EXTRACT(jsonPayload.response, r'\"customerOrderId\":\"(.*?)\","') as CustomerOrderID, ## All 3 of these work
-- REGEXP_EXTRACT(jsonPayload.response, r"customerOrderId\":\"(.*?)\",") as CustomerOrderID
REGEXP_EXTRACT(jsonPayload.response, r"customerOrderId\":\"([^\"]*)\".*") as CustomerOrderID
FROM `exported_logs_v2.mcc_checkout_service_servicelog_201906*`
where jsonpayload.component like '%CO_ORDER_SUMMARY%' ##'%CO_ORDER_SUMMARY%' or '%CO_SECURE_LOGON%'
and ( _TABLE_SUFFIX between "23" and "23" )
and jsonPayload._userid_ = "0516CFC3D4B001FB0S"
order by timestamp asc
您应该转义 python 字符串中的 \
字符 - 只需将 \
替换为 \
。
如果 co.jsonPayload.response
是有效的 JSON 字符串,您可以使用 JSON_EXTRACT_SCALAR(co.jsonPayload.response, '$.customerOrderId')
.
我无法在 read_gbq 函数中成功执行正则表达式函数(即 REGEXP_EXTRACT)。
read_gbq 来自 pandas_gbq 模块。
我的Python程序中的import语句是:from pandas_gbq import read_gbq。
我环境中pandas-gbq的版本是:0.8.0
正则表达式失败,我认为,由于未能识别双引号上的黑色斜线转义字符。
此正则表达式在 Big Query 和使用 Python 的在线 RegEx 测试器中运行良好(参见下面的代码部分)。
感谢您的时间和关注
component = 'CO_ORDER_SUMMARY'
def Read_CO_Order_Summary():
query = ('select co.timestamp, co.jsonPayload._userid_ as co_SVOC, co.jsonPayload.response, \
REGEXP_EXTRACT(co.jsonPayload.response, customerOrderId\":\"([^\"]*)\".*) as CustomerOrderID \
from `exported_logs_v2.mcc_checkout_service_servicelog_20190623` co '
'where co.jsonPayload.component = ' '"' + component + '"'
'order by co.timestamp, co.jsonPayload._userid_ '
'limit 1'
)
co_agg = read_gbq(query, projectid, dialect='standard')
return(co_agg)
co_agg = Read_CO_Order_Summary()
**ERROR MESSAGE**
GenericGBQException: Reason: 400 Syntax error: Expected “)” but got string literal “:” at [1:253]
****************************************
IN REGEX101.com TESTER (using the Python "flavor" setting)
REGEX
customerOrderId\":\"([^\"]*)\".*
STRING
{"lastModifiedDate":"2019-06-23 16:50:18.212","localStoreId":1515,"cartId":"HC100006597310","customerOrderId":"W838207358","
RESULT
Match 1
Full match customerOrderId":"W838207358","
Group 1. W838207358
******************* Big Query ******************
SELECT timestamp, jsonpayload._userid_, jsonpayload.response,
-- REGEXP_EXTRACT(jsonPayload.response, r'\"customerOrderId\":\"(.*?)\","') as CustomerOrderID, ## All 3 of these work
-- REGEXP_EXTRACT(jsonPayload.response, r"customerOrderId\":\"(.*?)\",") as CustomerOrderID
REGEXP_EXTRACT(jsonPayload.response, r"customerOrderId\":\"([^\"]*)\".*") as CustomerOrderID
FROM `exported_logs_v2.mcc_checkout_service_servicelog_201906*`
where jsonpayload.component like '%CO_ORDER_SUMMARY%' ##'%CO_ORDER_SUMMARY%' or '%CO_SECURE_LOGON%'
and ( _TABLE_SUFFIX between "23" and "23" )
and jsonPayload._userid_ = "0516CFC3D4B001FB0S"
order by timestamp asc
您应该转义 python 字符串中的 \
字符 - 只需将 \
替换为 \
。
如果 co.jsonPayload.response
是有效的 JSON 字符串,您可以使用 JSON_EXTRACT_SCALAR(co.jsonPayload.response, '$.customerOrderId')
.