executeStoredProcedure: Ausführen einer gespeicherten SQL-Prozedur

executeStoredProcedure: Führt eine gespeicherte Prozedur aus, die bei der Datenbank registriert ist.

Verwendung

  executeStoredProcedure(sqlSP, ..., connectionString = NULL)

Argumente

sqlSP

ein gültiges StoredProcedure-Objekt

...

Optionale Eingabe- und Ausgabeparameter für die gespeicherte Prozedur. Alle Parameter, denen keine Standardabfragen oder Werte zugewiesen sind, müssen angegeben werden.

connectionString

Eine Zeichenfolge (muss angegeben werden, wenn das StoredProcedure-Objekt ohne Verbindungszeichenfolge erstellt wurde). Diese Funktion erfordert die Verwendung eines ODBC-Treibers, der ODBC 3.8-Funktionen unterstützt.

verbose

Boolesch. Gibt an, ob der Befehl zum Ausführen der gespeicherten Prozedur ausgegeben werden soll.

Wert

TRUE bei Erfolg, bei einem Fehler FALSE

Notizen

Diese Funktion basiert darauf, dass der verwendete ODBC-Treiber ODBC 3.8-Features unterstützt. Andernfalls tritt ein Fehler auf.

Beispiele

 ## Not run:

 # See ?StoredProcedure for creating the "cleandata" table.

 ############# Example 1 #############
 # Create a linear model and store in the "rdata" table.
 train <- function(in_df) {
   factorLevels <- c("Monday","Tuesday","Wednesday","Thursday","Friday","Saturday","Sunday")
   in_df[,"DayOfWeek"] <- factor(in_df[,"DayOfWeek"], levels=factorLevels)
   # The model formula
   formula <- ArrDelay ~ CRSDepTime + DayOfWeek + CRSDepHour:DayOfWeek

   # Train the model
   mm <- rxLinMod(formula, data = in_df, transformFunc = NULL, transformVars = NULL)

   # Store the model into the database
   # rdata needs to be created beforehand
   conStr <- paste0("Driver={ODBC Driver 13 for SQL Server};Server=.;",
                    "Database=RevoTestDB;Trusted_Connection=Yes;")
   out.table = "rdata"
   # write the model to the table
   ds = RxOdbcData(table = out.table, connectionString = conStr)

   rxWriteObject(ds, "linmod.v1", mm, keyName = "key",
                 valueName = "value")
   return(NULL)
 }

 conStr <- "Driver={ODBC Driver 13 for SQL Server};Server=.;Database=RevoTestDB;Trusted_Connection=Yes;"
 # create  an InputData object for the input data frame in_df
 indata <- InputData("in_df",
                     defaultQuery = paste0("select top 10000 ArrDelay,CRSDepTime,",
                                           "DayOfWeek,CRSDepHour from cleanData"))
 # create the sql server stored procedure object
 trainSP1 <- StoredProcedure('train', "spTrain_df_to_df", indata,
                             dbName = "RevoTestDB",
                             connectionString = conStr,
                             filePath = ".")
 # spRegisterSp and executeStoredProcedure do not require a connection string since we
 # provided one when we created trainSP1
 registerStoredProcedure(trainSP1)
 executeStoredProcedure(trainSP1, verbose = TRUE)


 ############# Example 2 #############
 # score1 makes a batch prediction given clean data(indata),
 # model object(model_param), and the new name of the variable
 # that is being predicted
score1 <- function(in_df, model_param, predVarNameInParam) {
   factorLevels <- c("Monday","Tuesday","Wednesday","Thursday","Friday","Saturday","Sunday")
   in_df[,"DayOfWeek"] <- factor(in_df[,"DayOfWeek"], levels=factorLevels)
   mm <- rxReadObject(as.raw(model_param))
   # Predict
   result <- rxPredict(modelObject = mm,
                       data = in_df,
                       outData = NULL,
                       predVarNames = predVarNameInParam,
                       extraVarsToWrite = c("ArrDelay"),
                       writeModelVars = TRUE,
                       overwrite = TRUE)
   return(list(result = result, pvOutParam = mm$f.pvalue))
}

# create  an InputData object for the input data frame in_df
indata <- InputData(name = "in_df", defaultQuery = "SELECT top 10 * from cleanData")
# create InputParameter objects for model_param and predVarNameInParam
model <- InputParameter("model_param", "raw",
                       defaultQuery = paste("select top 1 value from rdata",
                                            "where [key] = 'linmod.v1'"))
predVarNameInParam <- InputParameter("predVarNameInParam", "character")
# create OutputData object for the data frame inside the return list
outData <- OutputData("result")
# create OutputParameter object for non data frame variable inside the return list
pvOutParam <- OutputParameter("pvOutParam", "numeric")
scoreSP1 <- StoredProcedure(score1, "spScore_df_param_df", indata, model, predVarNameInParam, outData, pvOutParam,
                           filePath = ".")
conStr <- "Driver={ODBC Driver 13 for SQL Server};Server=.;Database=RevoTestDB;Trusted_Connection=Yes;"
# connection string necessary for registrations and execution
# since we did not pass it to StoredProcedure
registerStoredProcedure(scoreSP1, conStr)
model <- executeStoredProcedure(scoreSP1, predVarNameInParam = "ArrDelayEstimate", connectionString = conStr, verbose = TRUE)
model$data
model$params[[1]]
## End(Not run)