--- title: "registerStoredProcedure function (sqlrutils)" description: "registerStoredProcedure: Uses the StoredProcedure object to register the stored procedure with the specified database" author: "rothja" ms.author: "jroth" ms.date: 07/15/2019 ms.service: sql ms.subservice: machine-learning ms.topic: "reference" ms.custom: "" keywords: (sqlrutils), registerStoredProcedure monikerRange: ">=sql-server-2016||>=sql-server-linux-ver15" --- # registerStoredProcedure: Register a SQL Stored Procedure with a Database `registerStoredProcedure`: Uses the StoredProcedure object to register the stored procedure with the specified database ## Usage ``` registerStoredProcedure(sqlSP, connectionString = NULL) ``` ## Arguments ### `sqlSP` a valid StoredProcedure object ### `connectionString` A character string (must be provided if the StoredProcedure object was created without a connection string) ## Value TRUE on success, FALSE on failure ## Examples ``` ## Not run: # See ?StoredProcedure for creating the "cleandata" table. # train 1 takes a data frame with clean data and outputs a model train1 <- function(in_df) { in_df[,"DayOfWeek"] <- factor(in_df[,"DayOfWeek"], levels=c("Monday","Tuesday","Wednesday","Thursday","Friday","Saturday","Sunday")) # The model formula formula <- ArrDelay ~ CRSDepTime + DayOfWeek + CRSDepHour:DayOfWeek # Train the model rxSetComputeContext("local") mm <- rxLinMod(formula, data=in_df) mm <- rxSerializeModel(mm) return(list("mm" = mm)) } # create InpuData Object for an input parameter that is a data frame # note: if the input parameter is not a data frame use InputParameter object id <- InputData(name = "in_df", defaultQuery = paste0("select top 10000 ArrDelay,CRSDepTime,", "DayOfWeek,CRSDepHour from cleanData")) # create an OutputParameter object for the variable inside the return list # note: if that variable is a data frame use OutputData object out <- OutputParameter("mm", "raw") # connections string conStr <- paste0("Driver={ODBC Driver 13 for SQL Server};Server=.;Database=RevoTestDB;", "Trusted_Connection=Yes;") # create the stored procedure object sp_df_op <- StoredProcedure("train1", "spTest1", id, out, filePath = ".") # register the stored procedure with the database registerStoredProcedure(sp_df_op, conStr) model <- executeStoredProcedure(sp_df_op, connectionString = conStr) # Getting back the model by unserializing it. mm <- rxUnserializeModel(model$params$op1) ## End(Not run) ```