Sparksee  6.0.2
STSCSVLoader Class Reference
Inheritance diagram for STSCSVLoader:
Inheritance graph
Collaboration diagram for STSCSVLoader:
Collaboration graph

Class Methods

(void) + loadNodes:fileName:nodeType:separator:header:columns:attrNames:dataTypes:attrKinds:
 Loads nodes from a CSV file. More...
 
(void) + loadEdges:fileName:edgeType:tailNodeType:headNodeType:tail:head:separator:directed:header:onMissingTail:onMissingHead:columns:attrNames:dataTypes:attrKinds:
 Loads edges from a CSV file. More...
 

Method Documentation

+ (void) loadEdges: (STSGraph *)  graph
fileName: (NSString *)  fileName
edgeType: (NSString *)  edgeType
tailNodeType: (NSString *)  tailNodeType
headNodeType: (NSString *)  headNodeType
tail: (int)  tail
head: (int)  head
separator: (NSString *)  separator
directed: (BOOL)  directed
header: (BOOL)  header
onMissingTail: (enum STSMissingEndpoint)  onMissingTail
onMissingHead: (enum STSMissingEndpoint)  onMissingHead
columns: (NSArray *)  columns
attrNames: (NSArray *)  attrNames
dataTypes: (NSArray *)  dataTypes
attrKinds: (NSArray *)  attrKinds 

Loads edges from a CSV file.

nodeType[in] The type of the edge to load. If it does not exist, it creates it

Parameters
graph[in] The graph to load the edges into
fileName[in] The name of the file
edgeTypenull
tailNodeType[in] The type of the tail nodes. If it does not exist and onMissingTail is set to "Create", it creates it. Otherwise, an exception is thrown
headNodeType[in] The type of the head nodes. It it does not exist and onMissingHead is set to "Create", it creates it. Otherwise, an exception is thrown
tail[in] The tail column index. Default: 0
head[in] The head column index. Default: 1
separator[in] The column separator. Default: ","
directed[in] True if this edge is directed or not. False otherwise. Default: True
header[in] True if the CSV contains a header. False otherwise. Default: True
onMissingTail[in] The policy to follow when a tail is missing. Default: "IsError"
onMissingHead[in] The policy to follow when a head is missing. Default: "IsError"
columns[in] The list of columns to load. tail and head columns must be in this list if this list is specified. If the list is empty, all columns are loaded. Default: empty
attrNames[in] The attribute names. If this list is empty and hasHeader is set to true, the header values are used as attribute names. Default: empty
dataTypes[in] The dataTypes of the attributes if this do not already exist. If this list is empty, the method tries to infer the data type from the first non-header row. Default: empty
attrKinds[in] The attributeKinds of the attributes if these do not already exist. If this list is empty, the attributeKind of the created attributes are set to Basic. Default: empty
+ (void) loadNodes: (STSGraph *)  graph
fileName: (NSString *)  fileName
nodeType: (NSString *)  nodeType
separator: (NSString *)  separator
header: (BOOL)  header
columns: (NSArray *)  columns
attrNames: (NSArray *)  attrNames
dataTypes: (NSArray *)  dataTypes
attrKinds: (NSArray *)  attrKinds 

Loads nodes from a CSV file.

Parameters
graph[in] The graph to load the nodes into
fileName[in] The name of the file
nodeType[in] The type of the node to load. If it does not exist, it creates it
separator[in] The separator of the CSV file. Default: ","
header[in] True if the CSV contains a header. False otherwise. Default: True
columns[in] The list of columns to load. tail and head columns mus be in this list if this list is specified. Default: all columns
attrNames[in] The attribute names. If this list is empty and hasHeader is set to true, the header values are used as attribute names. Default: empty
dataTypes[in] The dataTypes of the attributes if this do not already exist. Default: empty If this list is empty, the method tries to infer the data type from the first non-header row
attrKinds[in] The attributeKinds of the attributes if these do not already exist. Default: empty If this list is empty, the attributeKind of the created attributes are set to Basic. Default: empty

The documentation for this class was generated from the following file: