When trying to run an update with a SQL statement with the sqlQuery function in RODBC, it brings up an error
"[RODBC] ERROR: Could not SQLExecDirect '.
How do you run a direct update statement with R?
You cannot use a plain SQL update statement with the SQL query function, it just needs to return a resultset. For example, the following statement won't work:
sql="update mytable set column=value where column=value"
cn <-odbcDriverConnect(connection="yourconnectionstring")
resultset <- sqlQuery(cn,sql)
But if you add an output statement, the SQL query function will work fine. For example.
sql="update mytable set column=value output inserted.column where column=value"
cn <-odbcDriverConnect(connection="yourconnectionstring")
resultset <- sqlQuery(cn,sql)
I just added a function to make it easy to take your raw sql and quickly turn it into an update statement.
setUpdateSql <-function(updatesql, wheresql, output="inserted.*"){
sql=paste(updatesql," output ",output, wheresql)
sql=gsub("\n"," ",sql) #remove new lines if they appear in sql
return(sql)
}
So now I just need to split the SQL statement and it will run. I could also add an "inserted.columnname" if I didn't want to return the whole thing.
sql=setUpdateSql("update mytable set column=value","where column=value","inserted.column")#last parameter is optional
cn <-odbcDriverConnect(connection="yourconnectionstring")
resultset <- sqlQuery(cn,sql)
The other advantage with this method is you can find out what has changed in the resultset.
Related
I've been trying to query data from postgresql database (pgadmin) into R and analyse. Most of the queries work except when I try to write a condition specifically to filter out most of the rows. Please find the code below
dbGetQuery(con, 'select * from "db_name"."User" where "db_name"."User"."FirstName" = "Mani" ')
Error in result_create(conn#ptr, statement) :
Failed to prepare query: ERROR: column "Mani" does not exist
LINE 1: ...from "db_name"."User" where "db_name"."User"."FirstName" = "Mani"
^
this is the error I get, Why is it considering Mani as a column when it is just an element. Someone pls assist me
String literals in Postgres (and most flavors of SQL) take single quotes. This, combined with a few other optimizations in your code leave us with this:
sql <- "select * from db_name.User u where u.FirstName = 'Mani'"
dbGetQuery(con, sql)
Note that introduced a table alias, for the User table, so that we don't have to repeat the fully qualified name in the WHERE clause.
Using R-3.5.0 and RODBC v. 1.3-15 on Windows.
I am trying to query data from a remote database. I can connect fine and if I do a query to count the rows, the answer comes out correctly. But if I try to remove the count statement select count(*) and actually get the data via select *, I yield an empty query (with some rather strange headers). Only two of the column names come out correctly and the rest are question marks and a number (as shown below). I can using sql developer to query the data no problem.
I include the simplest version of the code below but I get the same results if I try to limit to just a few rows or certain conditions, etc. Sorry I cannot create a reproducible example but as this is a remote db and I have no idea what the problem is, I'm not sure how I could even do that.
I can query other tables from different schemas within the same odbc connection, so I don't think it is that. I have tried with and without the believeNRows and the rows_at_time.
Thank you for any thoughts.
channel <- odbcConnect("mydb", uid="myuser", pwd="mypass", believeNRows=FALSE,rows_at_time = 1)
myquery <- paste("select count(*) from MYSCHEMA.MYTABLE")
sqlQuery(channel, myquery)
COUNT(*)
1 149712361
myquery <- paste("select * from MYSCHEMA.MYTABLE")
sqlQuery(channel, myquery)
[1] ID FMC_IN_ID ? ?.1 ?.2 ?.3 ?.4 ?.5 ?.6 ?.7 ?.8 ?.9 ?.10 ?.11 ?.12 ?.13 ?.14 ?.15
<0 rows> (or 0-length row.names)
I would try the following:
add a simple limit 100 to your query to see if you can get some data back
add the believeNRows option to the sqlQuery call -- in my experience it is needed at that level
In case it helps others, the problem was that the database contained an Oracle spatial field (MDSYS.SDO_GEOMETRY). R did not know what to do with it. I assumed it would just convert it to a character but instead it just got confused. By omitting the spatial field, the query worked fine.
I'm making a connection to an oracle database using the ROracle package and DBI package. When I try to execute insert statements that have special characters, the special characters get converted to non-special characters. (I'm sure there's more correct terms for "special" and "non-special" that I'm not aware of).
First I make the following connection:
connection <- dbConnect(
dbDriver("Oracle"),
username = "xxxxx",
password = "xxxxx",
dbname = "xxxx"
)
Then I execute the following insert statement on a table I already have created. Column A has a type of nvarchar2.
dbSendQuery(connection, "insert into TEST_TABLE (A) values('£')")
This is what gets returned:
Statement: insert into TEST_TABLE (A) values('#')
Rows affected: 1
Row count: 0
Select statement: FALSE
Statement completed: TRUE
OCI prefetch: FALSE
Bulk read: 1000
Bulk write: 1000
As you can see, the "£" symbol gets replaced by a "#". I can execute the insert statement directly in PL/SQL and there's no issue, so it seems to be an issue with R. Any help is appreciated.
This was resolved by running Sys.setenv(NLS_LANG = "AMERICAN_AMERICA.AL32UTF8") before creating the connection.
I'm trying to read a table from an SQL database using the sqlQuery function. Specifically, I want to ceate a function with a date as input and then select the data from the SQL database which match the given date. The commands are like:
example=function(dateA)
{sqlQuery(channel,paste("select * from TABLE","where date=dateA"))}
example('2017-10-26')
Note that the format of the date on the SQL table is YYYY-MM-DD and the above command works fine when the specific date is written on the sqlQuery function. i.e. when using the command:
sqlQuery(channel,paste("select * from TABLE","where date='2017-10-26'"))
nevertheless when calling the function example with date as input this does not work.
Does anybody know if there is a way to overcome this??
That is because dateA is treated as part of the string instead of replacing the value of dateA, try instead:
example=function(dateA){
sqlQuery(channel,paste0("select * from TABLE","where date=", dateA))
}
example('2017-10-26')
Here, dateA is replaced with '2017-10-26' when you call example, and paste0 pastes "select * from TABLE","where date=" and '2017-10-26' (the value of dateA) together to form "select * from TABLE","where date='2017-10-26'"
I am using the RODBC package on R which allows me to connect to SQL using R.
As an example to my problem, I have a table [Sales] within SQL with 3 Columns (Alpha, Beta, BetaDistribution).
1.50,77,x
2.99,53,x
4.50,122,x
Note that the 3rd column (BetaDistribution) is not populated, and this needs to be populated using a Statistical R Function.
I have assigned my table to the variable SELECT
select <- sqlQuery(dbhandle, 'select * from dbo.sales')
how to I run a loop to update my sql table so that the BetaDistribution column is updated with the calculated Beta Distribution - pbeta(alpha,beta)
Something like this. Basically you make a temp table and then update the existing table. There's a reasonable chance you need to tweak that update statement since I, obviously, can't test it.
select$BetaDistribution<-yourfunc(x,y)
sqlSave(dbhandle, select, tablename="dbo.salestemp", rownames=FALSE,varTypes=list(Alpha="decimal(10,10)", Beta="decimal(10,10)", BetaDistribution="decimal(10,10)"))
sqlQuery(dbhandle, "update dbo.sales
set sales.BetaDistribution=salestemp.BetaDistribution
from dbo.sales
inner join
salestemp
on
sales.Alpha=salestemp.Alpha and
sales.Beta=salestemp.Beta")
sqlQuery(dbhandle, "drop table salestemp")