假定R数据帧列在Oracle中是完全相同的列，并且顺序相同(不多或少)，请考虑将apply至paste与折叠每行中的所有值:

Assuming R dataframe columns are exactly the same columns and in same order in Oracle (not more or less), consider apply to paste with collapse all values in each row:

sqls <- sprintf("INSERT INTO MYTABLE VALUES (%s)", 
                apply(df, 1, function(i) paste(i, collapse=",")))    
sqls
# [1] "INSERT INTO MYTABLE VALUES (2,10,9,50,34,37,29)" 
# [2] "INSERT INTO MYTABLE VALUES (7,24,33,21,21,20,3)" 
# [3] "INSERT INTO MYTABLE VALUES (39,38,2,33,43,33,7)" 
# [4] "INSERT INTO MYTABLE VALUES (30,11,33,1,29,26,11)"
# [5] "INSERT INTO MYTABLE VALUES (50,45,13,27,3,35,36)"
# [6] "INSERT INTO MYTABLE VALUES (41,5,39,17,5,22,5)"  
# [7] "INSERT INTO MYTABLE VALUES (21,50,39,30,2,11,49)"

# RECOMMENDED APPROACH TO SPECIFY COLUMNS
sqls <- sprintf("INSERT INTO MYTABLE (Col1, Col2, Col3, Col4, Col5, Col6, Col7) VALUES (%s)", 
                apply(df, 1, function(i) paste(i, collapse=",")))

connHandle <- odbcConnect("DBName", uid="user", pwd="password")
lapply(sqls, function(s) sqlQuery(connHandle, s))
close(connHandle)

更好的方法是将参数化与 RODBCext ，您只需传入原始数据帧即可，没有循环:

And even better approach is to use parameterization with RODBCext where you just pass in original dataframe with no loop:

library(RODBCext)

connHandle <- odbcConnect("DBName", uid="user", pwd="password")
query <- "INSERT INTO MYTABLE (Col1, Col2, Col3, Col4, Col5, Col6, Col7) VALUES (?, ?, ?, ?, ?, ?, ?)"
sqlExecute(connHandle, query, df)

odbcClose(connHandle)