Rlabkey (version 3.2.0)

labkey.updateRows: Update existing rows of data in a labkey database

Description

Send data from an R session to update existing rows of data in the database.

Usage

labkey.updateRows(baseUrl, folderPath,
    schemaName, queryName, toUpdate,
    provenanceParams=NULL, options=NULL)

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 row objects corresponding to the rows updated.

Arguments

baseUrl

a string specifying the baseUrlfor the labkey server

folderPath

a string specifying the folderPath

schemaName

a string specifying the schemaNamefor the query

queryName

a string specifying the queryName

toUpdate

a data frame containing the row(s) of data to be updated

provenanceParams

the provenance parameter object which contains the options to include as part of a provenance recording. This is a premium feature and requires the Provenance LabKey module to function correctly, if it is not present this parameter will be ignored.

options

(optional) a list containing options specific to the insert action of the query

Author

Valerie Obenchain

Details

A single row or multiple rows of data can be updated. The toUpdate data frame should contain the rows of data to be updated and must be created with the stringsAsFactors option set to FALSE. The names of the data in the data frame must be the column names from the labkey database. To update a row/column to a value of NULL, use an empty string ("") in the data frame (regardless of the database column type).

The list of valid options for each query will vary, but some common examples include:

• auditBehavior (string) : Can be used to override the audit behavior for the table the query is acting on. The set of types include: NONE, SUMMARY, and DETAILED.

• auditUserComment (string) : Can be used to provide a comment from the user that will be attached to certain detailed audit log records.

See Also

labkey.selectRows, labkey.executeSql, makeFilter, labkey.insertRows, labkey.importRows,
labkey.deleteRows, labkey.moveRows,
labkey.query.import, labkey.provenance.createProvenanceParams, labkey.provenance.startRecording, labkey.provenance.addRecordingStep, labkey.provenance.stopRecording

Examples

if (FALSE) {

## Insert, update and delete
## Note that users must have the necessary permissions in the database
## 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, options=list(auditBehavior="DETAILED",
    auditUserComment="testing audit comment for insert"))
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, options=list(auditBehavior="DETAILED",
    auditUserComment="testing audit comment for update"))
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)
str(result)

}