Rlabkey (version 2.2.4)

labkey.deleteRows: Delete rows of data from a LabKey database

Description

Specify rows of data to be deleted from the LabKey Server

Usage

labkey.deleteRows(baseUrl, folderPath,
    schemaName, queryName, toDelete)

Arguments

baseUrl

a string specifying the baseUrlfor LabKey server

folderPath

a string specifying the folderPath

schemaName

a string specifying the schemaName for the query

queryName

a string specifying the queryName

toDelete

a data frame containing a single column of data containing the data identifiers of the rows to be deleted

Value

A list is returned with named categories of command, rowsAffected, rows, queryName, containerPath and schemaName. The schemaName, queryName and containerPath properties contain the same schema, query and folder path used in the request. The rowsAffected property indicates the number of rows affected by the API action. This will typically be the same number as passed in the request. The rows property contains a list of rows corresponding to the rows deleted.

Details

A single row or multiple rows of data can be deleted. For the toDelete data frame, version 0.0.5 or later accepts either a single column of data containing the data identifiers (e.g., key or lsid) or the entire row of data to be deleted. The names of the data in the data frame must be the column names from the LabKey Server. The data frame must be created with the stringsAsFactors set to FALSE.

NOTE: Each variable in a dataset has both a column label and a column name. The column label is visible at the top of each column on the web page and is longer and more descriptive. The column name is shorter and is used “behind the scenes” for database manipulation. It is the column name that must be used in the Rlabkey functions when a column name is expected. To identify a particular column name in a dataset on a web site, use the “export to R script” option available as a drop down option under the “views” tab for each dataset.

See Also

labkey.selectRows, labkey.executeSql, makeFilter, labkey.insertRows, labkey.importRows, labkey.updateRows

Examples

# NOT RUN {
## Insert, update and delete
## Note that users must have the necessary permissions in the LabKey Server
## to be able to modify data through the use of these functions
# library(Rlabkey)

newrow <- data.frame(
	DisplayFld="Inserted from R"
	, TextFld="how its done"
	, IntFld= 98 
	, DoubleFld = 12.345
	, DateTimeFld = "03/01/2010"
	, BooleanFld= FALSE
	, LongTextFld = "Four score and seven years ago"
#	, AttachmentFld = NA    #attachment fields not supported 
	, RequiredText = "Veni, vidi, vici"
	, RequiredInt = 0
	, Category = "LOOKUP2"
	, stringsAsFactors=FALSE)

insertedRow <- labkey.insertRows("http://localhost:8080/labkey",
    folderPath="/apisamples", schemaName="lists",
    queryName="AllTypes", toInsert=newrow)
newRowId <- insertedRow$rows[[1]]$RowId

selectedRow<-labkey.selectRows("http://localhost:8080/labkey",
    folderPath="/apisamples", schemaName="lists", queryName="AllTypes",
    colFilter=makeFilter(c("RowId", "EQUALS", newRowId)))
selectedRow

updaterow=data.frame(
	RowId=newRowId
	, DisplayFld="Updated from R"
	, TextFld="how to update"
	, IntFld= 777 
	, stringsAsFactors=FALSE)

updatedRow <- labkey.updateRows("http://localhost:8080/labkey",
    folderPath="/apisamples", schemaName="lists",
    queryName="AllTypes", toUpdate=updaterow)
selectedRow<-labkey.selectRows("http://localhost:8080/labkey",
    folderPath="/apisamples", schemaName="lists", queryName="AllTypes",
    colFilter=makeFilter(c("RowId", "EQUALS", newRowId)))
selectedRow

deleterow <- data.frame(RowId=newRowId, stringsAsFactors=FALSE)
result <- labkey.deleteRows(baseUrl="http://localhost:8080/labkey",
    folderPath="/apisamples", schemaName="lists",
    queryName="AllTypes",  toDelete=deleterow)
result

# }