我是Orientdb的新手。 我有一个csv文件,它有节点和边缘,我需要从该csv文件中创建一个图形。 csv文件
"p1","p2","score"
"LGG_00001","LGG_01682",282
"LGG_00001",".LGG_01831",183
"LGG_00001","LGG_01491",238
边缘是IsActingWith,它具有得分属性
{
"source": {
"file": {
"path": "C:/Users/sams/Desktop/OrientDB2/lac2.csv"
}
},
"extractor": {
"csv": {}
},
"transformers": [
{
"vertex": {
"class": "lac2"
}
},
{
"vertex": {
"class": "lac2"
}
},
{
"edge":
{
"class": "IsActingWith",
"joinFieldName": "score_p",
"lookup": "acore",
"direction": "out"
}
}
],
"loader": {
"orientdb": {
"dbURL": "plocal:C:/Users/sams/Desktop/OrientDB2/database/proj",
"dbType": "graph",
"dbAutoCreate": true,
"classes": [
{
"name": "lac2",
"extends": "V"
},
{
"name": "lac2",
"extends": "V"
},
{
"name": "IsActingWith",
"extends": "E"
},
]
}
}
}
这就是我的尝试,但这对我来说似乎不合逻辑。
我正在寻找的最终结果是使用p1->ACTINGWITH-> p2
和ACTINGWITH
得到的graaph得分得分属性
答案 0 :(得分:2)
也许有更好的解决方案,但这有效。 我的计划是使用3个不同的etl脚本:第一个和第二个用于插入顶点,第三个用于边缘。当然,您需要按顺序执行它们。
<强> vertex_import_p1.json 强>
{
"source": { "file": { "path": "/home/ivan/Cose/OrientDB/issues/stack/44641116/file.csv" } },
"extractor": { "csv": {
"separator": ",",
"columns": ["p1:String","p2:String","s:Integer"] } },
"transformers": [
{ "command": { "command": "UPDATE lac2 set p='${input.p1}' UPSERT WHERE p='${input.p1}'"} }
],
"loader": {
"orientdb": {
"dbURL": "plocal:/home/ivan/Cose/OrientDB/issues/stack/44641116/db",
"dbUser": "admin",
"dbPassword": "admin",
"dbType": "graph",
"classes": [
{"name": "lac2", "extends": "V"},
{"name": "isActingWith", "extends": "E"}
]
}
}
}
<强> vertex_import_p2.json 强>
{
"source": { "file": { "path": "/home/ivan/Cose/OrientDB/issues/stack/44641116/file.csv" } },
"extractor": { "csv": {
"separator": ",",
"columns": ["p1:String","p2:String","s:Integer"] } },
"transformers": [
{ "command": { "command": "UPDATE lac2 set p='${input.p2}' UPSERT WHERE p='${input.p2}'"} }
],
"loader": {
"orientdb": {
"dbURL": "plocal:/home/ivan/Cose/OrientDB/issues/stack/44641116/db",
"dbUser": "admin",
"dbPassword": "admin",
"dbType": "graph",
"classes": [
{"name": "lac2", "extends": "V"},
{"name": "isActingWith", "extends": "E"}
]
}
}
}
<强> edge_import_s.json 强>
{
"source": { "file": { "path": "/home/ivan/Cose/OrientDB/issues/stack/44641116/file.csv" } },
"extractor": { "csv": {
"separator": ",",
"columns": ["p1:String","p2:String","s:Integer"] } },
"transformers": [
{ "command": { "command": "CREATE EDGE isActingWith FROM (SELECT FROM lac2 WHERE p='${input.p1}') TO (SELECT FROM lac2 WHERE p='${input.p2}') set score=${input.s}"} }
],
"loader": {
"orientdb": {
"dbURL": "plocal:/home/ivan/Cose/OrientDB/issues/stack/44641116/db",
"dbUser": "admin",
"dbPassword": "admin",
"dbType": "graph",
"classes": [
{"name": "lac2", "extends": "V"},
{"name": "isActingWith", "extends": "E"}
]
}
}
}
以下是执行后的情况:
orientdb {db=db}> select from lac2
+----+-----+------+---------+-------------------+---------------+
|# |@RID |@CLASS|p |out_isActingWith |in_isActingWith|
+----+-----+------+---------+-------------------+---------------+
|0 |#21:6|lac2 |LGG_00001|[#25:5,#26:1,#27:1]| |
|1 |#21:7|lac2 |LGG_01682| |[#25:5] |
|2 |#22:3|lac2 |LGG_01831| |[#26:1] |
|3 |#23:1|lac2 |LGG_01491| |[#27:1] |
+----+-----+------+---------+-------------------+---------------+
4 item(s) found. Query executed in 0.003 sec(s).
orientdb {db=db}> select from isActingWith
+----+-----+------------+-----+-----+-----+
|# |@RID |@CLASS |score|out |in |
+----+-----+------------+-----+-----+-----+
|0 |#25:5|isActingWith|282 |#21:6|#21:7|
|1 |#26:1|isActingWith|183 |#21:6|#22:3|
|2 |#27:1|isActingWith|238 |#21:6|#23:1|
+----+-----+------------+-----+-----+-----+
3 item(s) found. Query executed in 0.004 sec(s).