diff -r d4c2968a391f -r d7ae02390fac relpipe-data/examples-in-sql-reading-sql.xml --- a/relpipe-data/examples-in-sql-reading-sql.xml Sat Sep 12 13:20:21 2020 +0200 +++ b/relpipe-data/examples-in-sql-reading-sql.xml Fri Sep 25 14:38:24 2020 +0200 @@ -44,10 +44,10 @@ --relation '.*' --drop \ | relpipe-out-tabular -# Guile transformation: +# Scheme transformation: cat relpipe-in-sql-1.sql \ | relpipe-in-sql \ - | relpipe-tr-guile \ + | relpipe-tr-scheme \ --relation 'a' --where '(string= $message "Hello,")' \ --relation '.*' --drop \ | relpipe-out-tabular]]> @@ -68,7 +68,7 @@

Actually, the relpipe-in-sql is just a symbolic link to the relpipe-tr-sql and have the same capabilities (with just bit different default behavior to match general logic of the input filters). - So if we do not need special feautres of Guile, AWK or other transformation tool, it is better to stay with SQL (when we already use the SQL module). + So if we do not need special feautres of Scheme, AWK or other transformation tool, it is better to stay with SQL (when we already use the SQL module).