Connect the items from the specified fields in f=, and save the string of items as a vector in a new column (referred to as transaction field). Specify the delimiter character of the items at delim=.
mtra f= [s=] [k=] [delim=] [-r] [i=] [o=] [-nfn] [-nfno] [-x] [-q] [--help] [--version]
f= Specify field(s) (multiple fields can be specified) where the transaction fields are connected as an item. NULL values will not be included in the vector. k= Key field name(s) (multiple items can be specified) of the character string pattern. -r option cannot be specified with this parameter. delim= Specify the delimiting character (Space is used as the default delimiter). -r Reverse conversion Convert transaction items column to vertically structured data.
Combine the corresponding item for each customer in a string using a space as the delimiter, and save output in the column named transaction.
$ more dat1.csv customer,item A,a A,b B,c B,d B,e $ mtra k=customer f=item:transaction i=dat1.csv o=rsl1.csv #END# kgtra f=item:transaction i=dat1.csv k=customer o=rsl1.csv $ more rsl1.csv customer%0,transaction A,a b B,c d e
$ mtra k=customer f=item:transaction delim=- i=dat1.csv o=rsl2.csv #END# kgtra delim=- f=item:transaction i=dat1.csv k=customer o=rsl2.csv $ more rsl2.csv customer%0,transaction A,a-b B,c-d-e
$ mtra k=customer s=item%r f=item:transaction i=dat1.csv o=rsl3.csv #END# kgtra f=item:transaction i=dat1.csv k=customer o=rsl3.csv s=item%r $ more rsl3.csv customer%0,transaction A,b a B,e d c
mvsort : Vector based transaction data can be processed by a set of commands (with mv as prefix) which handles vector data.
mcross : Rather than converting as transaction data, every item is saved separately as individual field in the output.
mtrafld : Create transaction data using “field name=value”.
mtraflg : Create transaction data as item with field names.