将R Dataframe中的多行插入Oracle数据库 [英] Insert multiple rows from R Dataframe into Oracle Database

问题描述

例如，我有一个数据框:

I have for example dataframe:

df <- as.data.frame(matrix(sample(c(NA, 1:50), 49, replace = TRUE), 7))

它看起来像这样:

  V1 V2 V3 V4 V5 V6 V7
1 46  6 23  7 22 42  1
2 47 33 47 50 42 NA 49
3 14 35 49 48 37 10 22
4 42 23  5  4 41 46 48
5 32 36 24 26 19 31 45
6 26 47 28 19 34 19 32
7 37 13 46 46 NA 22 49

现在，我想不使用sqlSave 就将此数据帧写入到oracle数据库中，因为我有一个巨大的data.frame，如果这样做，R Studio会崩溃.相反，我决定使用sqlQuery做到这一点:

Now I want to write this dataframe to an oracle database without using sqlSave because I have a huge data.frame and R Studio crashes if I do it. Instead I decided to do it with sqlQuery:

library(RODBC)
connHandle <- odbcConnect("DBName", uid="user", pwd="password")
sqlQuery(connHandle, sprintf("INSERT INTO MYTABLE VALUES %s", stringWithMyDataframeValues))
close(connHandle)

我已阅读此帖子但这对我不起作用.

I have read this post but it doesn't work for me.

做这件事的最佳方法是什么?我要传递的字符串应如何显示?预先感谢.

What is the optimal way of doing it? How should my string that I want to pass in look like? Thanks in advance.

推荐答案

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)

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