google bigquery - Data Quality on date field -


i'm having problems deal date fields on string format, i'm trying sanitize base. default format date string in base "%d/%m/%y", since comes csv file, there undesirable strings. i'm getting errors when try parse with:

parse_date('%d/%m/%y',trim(e.checkin))

like this, every time run new problematic char:

 illegal non-space trailing data '�' in string "25/07/201€"

what best way deal this?

core in addressing issue in identifying rows "broken" checkin field

then, can skip processing them below 

#standardsql e (   select '25/07/201€' checkin union   select '25/07/2016' ) select    checkin checking_string,    parse_date('%d/%m/%y',trim(e.checkin)) checking_date e regexp_contains(e.checkin, r'^(\d){2}/(\d){2}/(\d){4}$')

or can come logic of treating somehow specially broken values

i case, using where regexp_contains(e.checkin, r'^(\d){2}/(\d){2}/(\d){4}$') approach allows control situation

hope gives yo enough directions


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