I have 2 CSV files:
file_1 columns: id,user_id,message_id,rate
file_2 columns: id,type,timestamp
The relation between the files is that
With awk
you can try something like this -
awk -F, 'NR==FNR{a[$3]=$0;next} ($1 in a){print a[$1]","$3 > "file_3"}' file_1 file_2
[jaypal:~/Temp] cat file_1 # Contents of File_1
id,user_id,message_id,rate
1,3334,424,44
[jaypal:~/Temp] cat file_2 # Contents of File_2
id,type,timestamp
424,rr,22222
[jaypal:~/Temp] awk -F, 'NR==FNR{a[$3]=$0;next} ($1 in a){print a[$1]","$3 > "file_3"}' file_1 file_2
[jaypal:~/Temp] cat file_3 # Contents of File_3 made by the script
1,3334,424,44,22222
You can try this:
1. Change all lines to start with the key:
awk -F',' { print $3 " file1 " $1 " " $2 " " $4 } < file1 > temp
awk -F',' { print $1 " file2 " $2 " " $3 } < file2 >> temp
Now the lines look like:
message_id file1 id user_id rate
id file2 type timestamp
Sort temp
by the first two columns. Now related lines are adjacent, with file1
first
sort -k 1,1 -k 2,2 < temp > temp2
Run awk
to read the lines. In file1
lines save the fields, in file2
lines print them.
You can use the join command like this:
join -t, -1 3 -2 1 -o 1.1 1.2 1.3 1.4 2.3 <(sort -t, -k 3,3 file1) <(sort file2)
It first sorts the files (file1
is sorted by the 3rd field) and then joins them using the 3rd field of file1
and the 1st field of file2
. It then outputs the fields you need.
Seems to be a job for SQLite. Using the SQLite shell:
create table f1(id,user_id,message_id,rate);
create table f2(id,type,timestamp);
.separator ,
.import 'file_1.txt' f1
.import 'file_2.txt' f2
CREATE INDEX i1 ON f1(message_id ASC); -- optional
CREATE INDEX i2 ON f2(id ASC); -- optional
.output 'output.txt'
.separator ,
SELECT f1.id, f1.user_id, f1.message_id, f1.rate, f2.timestamp
FROM f1
JOIN f2 ON f2.id = f1.message_id;
.output stdout
.q
Note that if there is a single error in the number of commas in a single line the import stage will fail. You can prevent the rest of the script from running with .bail on
at the script beginning.
If you want unmatched ids you can try:
SELECT f1.* FROM f1 LEFT JOIN f2 on f2.id = f1.message_id WHERE f2.id IS NULL
Which will select every row from f1
for which no corresponding row in f2
has been found.