I am required to spool a csv from a table in Oracle, using sqlplus. Following is the format required:
"HOST_SITE_TX_ID","SITE_ID","SITETX_TX_ID","SITETX_HELP_ID"
"664436565","16","2195301","0"
"664700792","52","1099970","0"
Following is the relevant piece of the shell script I wrote:
sqlplus -s $sql_user/$sql_password@$sid << eof >> /dev/null
set feedback off
set term off
set linesize 1500
set pagesize 11000
--set colsep ,
--set colsep '","'
set trimspool on
set underline off
set heading on
--set headsep $
set newpage none
spool "$folder$filename$ext"
select '"'||PCL_CARRIER_NAME||'","'||SITETX_EQUIP_ID||'","'||SITETX_SITE_STAT||'","'||SITETX_CREATE_DATE||'","'||ADVTX_VEH_WT||'"'
from cvo_admin.MISSING_HOST_SITE_TX_IDS;
spool off
(I have used some commented statements in, to signify the things that I tried but couldn't get to work)
The output I receive is:
'"'||PCL_CARRIER_NAME||'","'||SITETX_EQUIP_ID||'","'||SITETX_SITE_STAT||'","'||SITETX_CREATE_DATE||'","'||ADVTX_VEH_WT||'"'
"TRANSPORT INC","113","00000000","25-JAN-13 10.17.51 AM",""
"TRANSPORT INC","1905","00000000","25-JAN-13 05.06.44 PM","0"
Which shows that the header is messed up - it is literally printing the whole string that should have been interpreted as an sql statement, as is the case with the data displayed.
Options I am considering:
1) Using colsep
set colsep '","'
spool
select * from TABLE
spool off
This introduces other problems as the data having leading and trailing spaces, first and the last values in the files are not enclosed by quotes
HOST_SITE_TX_ID"," SITE_ID"
" 12345"," 16"
" 12345"," 21
I concluded that this method gives me more heartburn than the one I described earlier.
2) Getting the file and use a regex to modify the header.
3) Leaving the header altogether and manually adding a header string at the beginning of the file, using a script
Option 2 is more doable, but I was still interested in asking, if there might be a better way to format the header somehow, so it comes in a regular csv, (comma delimited, double quote bounded) format.
I am looking to do as less hard coding as possible - the table I am exporting has around 40 columns and I am currently running the script for around 4 million records - breaking them in a batch of around 10K each. I would really appreciate any suggestions, even totally different from my approach - I am a programmer in learning.