setInputDataQuery: Tetapkan Kueri ke Parameter Data Input dari Prosedur Tersimpan SQL
setInputDataQuery
: menetapkan kueri ke parameter InputData dari prosedur tersimpan yang akan mengisi bingkai data input fungsi R yang disematkan dalam proses berikutnya dari prosedur tersimpan.
Penggunaan
setInputDataQuery(inputData, query)
Argumen
inputData
String karakter, nama parameter input bingkai data ke dalam fungsi R.
query
String karakter yang mewakili kueri.
Nilai
Objek InputData
Contoh
## 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)