Insert Data into SQL Table with primary key column - r

Question

I have a table in a SQL Server database and an R script that appends data to that tabl.
The db table contains a primary key ("ID"), which is just a scope_identity field
When I try to append the table into that location, I keep running into the following error
> sqlSave(Conn[["DbCon"]],
+ dat = OutputDataFinal,
+ tablename = "DataSci_StandardTransferPriority",
+ verbose = TRUE,
+ append = TRUE,
+ rownames = FALSE)
Query:
INSERT INTO "DataSci_StandardTransferPriority" (
"ID", "LeadSourceName", "AgeCategory", "ZipColor", "LeadCount_Sum",
"OB_TotalDials_Sum", "ContactRate", "TransferRate", "HypTransfers", "LaborCPT",
"MarketingCpt", "CloseRate", "PDLTR", "Policy_Count_Sum", "InboundDials_Sum",
"LeadCost_Sum", "PPT", "PPH", "ContactRateXCloseRate", "ContactRateXCloseRateTarget",
"ModelValue", "SourcePriority", "InsertTS"
)
VALUES ( ?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,? )
Error in odbcUpdate(channel, query, mydata, coldata[m, ], test = test, :
missing columns in 'data'
How can I append and ignore the issue with the primary key?

Answer 1

In standard INSERT operation dont specify identity column. It automatically provides next incremental identity value. For example:
CREATE TABLE #TempTable (
[ID] [bigint] NOT NULL IDENTITY(1, 1) PRIMARY KEY,
[Column1] [varchar](50) NULL,
[Column2] [decimal](19, 3) NOT NULL
);
INSERT INTO #TempTable (
[Column1],
[Column2]
)
VALUES
('first insert', 50.2),
('second insert', 84.2);
SELECT *
FROM #TempTable
DROP TABLE #TempTable;
The result was:
ID
Column1
Column2
1
first insert
50.200
2
second insert
84.200
If you want insert on identity column any way - enable IDENTITY_INSERT. But be care for data integrity issues.
CREATE TABLE #TempTable (
[ID] [bigint] NOT NULL IDENTITY(1, 1) PRIMARY KEY,
[Column1] [varchar](50) NULL,
[Column2] [decimal](19, 3) NOT NULL
);
INSERT INTO #TempTable (
[Column1],
[Column2]
)
VALUES ('first insert', 50.2);
SET IDENTITY_INSERT #TempTable ON;
INSERT INTO #TempTable (
[ID],
[Column1],
[Column2]
)
VALUES
(4, 'second insert', 84.63),
(2, 'third insert', 99.56);
SET IDENTITY_INSERT #TempTable OFF;
INSERT INTO #TempTable (
[Column1],
[Column2]
)
VALUES ('four insert', 100.32);
SELECT *
FROM #TempTable
DROP TABLE #TempTable;
And the result:
ID
Column1
Column2
1
first insert
50.200
2
third insert
99.560
4
second insert
84.630
5
four insert
100.320