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For a one off situation, the process I use is like this:1. Save the worksheet as a tab delimited text file on a network share or my iSeries home directory, where it's accessible to the iSeries.
2. Delete header rows and any blank rows at the end of the file3. Remove/normalize quotes - Excel will enclose strings containing embedded quote marks with quotes, and double the embedded quotes. I use a little awk script to fix them. I've included it at the end of this message. 3. Create a database table that matches the fields in the tab delimited file. 4. Use the CPYFRMIMPF command to copy the tab delimited file to the database, something like this:
CPYFRMIMPF FROMSTMF('/home/<me>/<myfile>')TOFILE(ARGETLIB/TARGETFILE) MBROPT(*REPLACE) RCDDLM(*CRLF) STRDLM(*NONE) FLDDLM(*TAB) DATFMT(*USA)
RPLNULLVAL(*FLDDFT) Here's the awk script: BEGIN { # Tab delimited file FS="\t"; OFS="\t"; } /./ { # For each field in the current record for (i=1;i<=NF;i++) { # Remove the first and last character from the field # only if both are quotes. if (($i ~ /^\"/) && ($i ~ /\"$/)) { # Remove the beginning quote gsub("^\"","",$i); # Remove the ending quote gsub("\"$","",$i); } # Replace multiple contiguous quotes with a single quote gsub("\"+","\"",$i); } print; }
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