共用方式為


executeStoredProcedure:執行 SQL 預存程序

executeStoredProcedure:執行向資料庫註冊的預存程序

使用方式

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

引數

sqlSP

有效的 StoredProcedure 物件

...

預存程序的選擇性輸入和輸出參數。 必須提供未指派預設查詢或值的所有參數

connectionString

字元字串 (如果不使用連接字串建立 StoredProcedure 物件,則必須提供)。 此函數需要使用支援 ODBC 3.8 功能的 ODBC 驅動程式。

verbose

布林值。 是否印出用來執行預存程序的命令

成功則為 TRUE,失敗則為 FALSE

備註

此函數仰賴於使用的 ODBC 驅動程式支援 ODBC 3.8 功能, 否則將會失敗。

範例


 ## 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)