setInputDataQuery : assigner une requête au paramètre de données d’entrée de la procédure stockée SQL
setInputDataQuery
: assigne une requête au paramètre InputData de la procédure stockée qui va remplir la trame de données d’entrée de la fonction R incorporée lors de la prochaine exécution de la procédure stockée.
Utilisation
setInputDataQuery(inputData, query)
Arguments
inputData
Chaîne de caractères, nom du paramètre d’entrée de trame de données dans la fonction R.
query
Chaîne de caractères représentant une requête.
Valeur
Objet InputData
Exemples
## Not run:
# See ?StoredProcedure for creating the `cleandata` table.
# and ?executeStoredProcedure for creating the `rdata` table.
# 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(indata, model_param, predVarName) {
indata[,"DayOfWeek"] <- factor(indata[,"DayOfWeek"], levels=c("Monday","Tuesday","Wednesday","Thursday","Friday","Saturday","Sunday"))
# The connection string
conStr <- paste("Driver={ODBC Driver 13 for SQL Server};Server=.;Database=RevoTestDB;",
"Trusted_Connection=Yes;", sep = "")
# The compute context
computeContext <- RxInSqlServer(numTasks=4, connectionString=conStr)
mm <- rxReadObject(as.raw(model_param))
# Predict
result <- rxPredict(modelObject = mm,
data = indata,
outData = NULL,
predVarNames = predVarName,
extraVarsToWrite = c("ArrDelay"),
writeModelVars = TRUE,
overwrite = TRUE)
}
# connections string
conStr <- paste0("Driver={ODBC Driver 13 for SQL Server};Server=.;Database=RevoTestDB;",
"Trusted_Connection=Yes;")
# create InpuData Object for an input parameter that is a data frame
id <- InputData(name = "indata", defaultQuery = "SELECT * from cleanData")
# InputParameter for the model_param input variable
model <- InputParameter("model_param", "raw",
defaultQuery =
"select top 1 value from rdata where [key] = 'linmod.v1'")
# InputParameter for the predVarName variable
name <- InputParameter("predVarName", "character")
sp_df_df <- StoredProcedure(score1, "sTest", id, model, name,
filePath = ".")
# register the stored procedure with a database
registerStoredProcedure(sp_df_df, conStr)
# assign a different query to the InputData so that it only uses the firt 10 rows
id <- setInputDataQuery(id, "SELECT top 10 * from cleanData")
# assign a value to the name parameter
name <- setInputParameterValue(name, "ArrDelayEstimate")
# execute the stored procedure
model <- executeStoredProcedure(sp_df_df, id, name, connectionString = conStr)
model$data
## End(Not run)