I am able to get all the child nodes and its related information under a parent node but in a array of objects format , for the query
g.V(4128).repeat(out()).emit()
[
{
"id": 4152.0,
"label": "location",
"type": "vertex",
"properties": {
"displayName": [
{
"id": "1l3-37c-1l1",
"value": "XYZ"
}
],
"description": [
{
"id": "1zb-37c-7wl",
"value": "XYZ World"
}
],
"shortName": [
{
"id": "16v-37c-745",
"value": "XYZ"
}
]
}
},
{
"id": 4176.0,
"label": "location",
"type": "vertex",
"properties": {
"displayName": [
{
"id": "1l6-380-1l1",
"value": "XYZ-XYZW"
}
],
"description": [
{
"id": "1ze-380-7wl",
"value": "XYZ West Campus"
}
],
"shortName": [
{
"id": "16y-380-745",
"value": "XYZW"
}
]
}
},
{
"id": 8344.0,
"label": "location",
"type": "vertex",
"properties": {
"displayName": [
{
"id": "3kj-6fs-1l1",
"value": "XYZ-XYZE"
}
],
"description": [
{
"id": "3yr-6fs-7wl",
"value": "XYZ East Campus"
}
],
"shortName": [
{
"id": "36b-6fs-745",
"value": "XYZE"
}
]
}
},
{
"id": 4104.0,
"label": "location",
"type": "vertex",
"properties": {
"displayName": [
{
"id": "1kx-360-1l1",
"value": "XYZ-XYZW-P1"
}
],
"description": [
{
"id": "1z5-360-7wl",
"value": "XYZ West Campus-Phase-1"
}
],
"shortName": [
{
"id": "16p-360-745",
"value": "P1"
}
]
}
},
{
"id": 4296.0,
"label": "location",
"type": "vertex",
"properties": {
"displayName": [
{
"id": "1ll-3bc-1l1",
"value": "XYZ-XYZW-P3"
}
],
"description": [
{
"id": "1zt-3bc-7wl",
"value": "XYZ West Campus-Phase-3"
}
],
"shortName": [
{
"id": "17d-3bc-745",
"value": "P3"
}
]
}
},
{
"id": 8200.0,
"label": "location",
"type": "vertex",
"properties": {
"displayName": [
{
"id": "3k1-6bs-1l1",
"value": "XYZ-XYZW-P2"
}
],
"description": [
{
"id": "3y9-6bs-7wl",
"value": "XYZ West Campus-Phase-2"
}
],
"shortName": [
{
"id": "35t-6bs-745",
"value": "P2"
}
]
}
},
{
"id": 8224.0,
"label": "location",
"type": "vertex",
"properties": {
"displayName": [
{
"id": "3yc-6cg-1l1",
"value": "XYZ-XYZE-P1"
}
],
"description": [
{
"id": "4ck-6cg-7wl",
"value": "XYZ East Campus-Phase-1"
}
],
"shortName": [
{
"id": "3k4-6cg-745",
"value": "P1"
}
]
}
},
{
"id": 8392.0,
"label": "location",
"type": "vertex",
"properties": {
"displayName": [
{
"id": "3kp-6h4-1l1",
"value": "XYZ-XYZE-P2"
}
],
"description": [
{
"id": "3yx-6h4-7wl",
"value": "XYZ East Campus-Phase-2"
}
],
"shortName": [
{
"id": "36h-6h4-745",
"value": "P2"
}
]
}
}
]
我需要以层次结构的方式获得相同的信息。
我尝试了以下查询
g.V（4128）.repeat（下（））。发射（）。树（）。由（__。valueMap（真））
但我没有得到有效的json。
我需要以分层方式获取上述数据
更新
我尝试了以下查询
g.V（4128）.repeat（out（））。emit（）。tree（）。by（__。valueMap（true））
我收到的回复是
[
{
"{label = org, name = [XYZ], orgId = [00000000-0000-0000-0000-000000000001], desc = [XYZ Organization], id = 4128}": {
"{label = location, displayName = [hh], description = [hfds], shortName = [kk], id = 8272}": {
},
"{label = location, displayName = [XYZ], description = [XYZ World], shortName = [XYZ], id = 4152}": {
"{label = location, displayName = [XYZ-XYZW], description = [XYZ West Campus], shortName = [XYZW], id = 4176}": {
"{label = location, displayName = [XYZ-XYZW-P3], description = [XYZ West Campus-Phase-3], shortName = [P3], id = 4296}": {
},
"{label = location, displayName = [XYZ-XYZW-P2], description = [XYZ West Campus-Phase-2], shortName = [P2], id = 8200}": {
},
"{label = location, displayName = [XYZ-XYZW-P1], description = [XYZ West Campus-Phase-1], shortName = [P1], id = 4104}": {
}
},
"{label = location, displayName = [XYZ-XYZE], description = [XYZ East Campus], shortName = [XYZE], id = 8344}": {
"{label = location, displayName = [XYZ-XYZE-P1], description = [XYZ East Campus-Phase-1], shortName = [P1], id = 8224}": {
},
"{label = location, displayName = [XYZ-XYZE-P2], description = [XYZ East Campus-Phase-2], shortName = [P2], id = 8392}": {
}
}
},
"{label = location, displayName = [hh], description = [hfds], shortName = [kk], id = 8248}": {
},
"{label = location, displayName = [hh], description = [hfds], shortName = [kk], id = 12488}": {
}
}
} ]
现在您可以看到所收到的json不合适，因为该键包含'='分隔的字段。
至于答案，我也尝试了下面的查询
g.V（4128）.repeat（下（））。发射（）。树（）。下一个（）
但响应仅返回了ID并且没有解析顶点属性
[
{
"4128": {
"8272": {},
"4152": {
"4176": {
"4104": {},
"4296": {},
"8200": {}
},
"8344": {
"8224": {},
"8392": {}
}
},
"8248": {},
"12488": {}
}
}
]
对于上下文，我在gremlin-server.yaml文件中使用以下配置
authentication: {className: org.apache.tinkerpop.gremlin.server.auth.AllowAllAuthenticator,
config: null}
channelizer: org.apache.tinkerpop.gremlin.server.channel.HttpChannelizer
graphs: {graph: 'D:/graph-data-access/src/test/resources/titan-inmemory.properties'}
gremlinPool: 8
host: localhost
maxAccumulationBufferComponents: 1024
maxChunkSize: 8192
maxContentLength: 65536
maxHeaderSize: 8192
maxInitialLineLength: 4096
metrics:
consoleReporter: null
csvReporter: null
gangliaReporter: null
graphiteReporter: null
jmxReporter: null
slf4jReporter: {enabled: true, interval: 180000, loggerName: org.apache.tinkerpop.gremlin.server.Settings$Slf4jReporterMetrics}
plugins: [aurelius.titan, tinkerpop.gephi]
port: 8182
processors: []
resultIterationBatchSize: 64
scriptEngines:
gremlin-groovy:
config: null
imports: [java.lang.Math]
scripts: ['D:/graph-data-access/src/test/resources/generate-locations.groovy']
staticImports: [java.lang.Math.PI]
scriptEvaluationTimeout: 30000
serializedResponseTimeout: 30000
serializers:
- className: org.apache.tinkerpop.gremlin.driver.ser.GryoMessageSerializerV1d0
config: {useMapperFromGraph: graph}
- className: org.apache.tinkerpop.gremlin.driver.ser.GryoMessageSerializerV1d0
config: {serializeResultToString: true}
- className: org.apache.tinkerpop.gremlin.driver.ser.GraphSONMessageSerializerV1d0
config: {useMapperFromGraph: graph}
- className: org.apache.tinkerpop.gremlin.driver.ser.GraphSONMessageSerializerGremlinV1d0
config: {useMapperFromGraph: graph}
ssl: {enabled: false, keyCertChainFile: null, keyFile: null, keyPassword: null, trustCertChainFile: null}
threadPoolBoss: 1
threadPoolWorker: 1
writeBufferHighWaterMark: 65536
writeBufferLowWaterMark: 32768
我正在使用Tinkerpop 3.0.1版孵化，因为我正在尝试使用Titan 1.0.0和DynamoDb作为远程连接的存储后端。
答案 0 :(得分：1)
不确定你的意思＆＃34;但我没有得到有效的json＆＃34;。如果您不包含Tree并且只是序列化整个顶点，那么您应该能够在GraphSON 1.0中序列化by(valueMap(true))。如果您尝试将其作为地图进行操作，则会出现故障，因为它会对图形元素作为关键字做出一些假设（这可能很糟糕）。
gremlin> mapper = graph.io(graphson()).mapper().version(GraphSONVersion.V1_0).create().createMapper()
==>org.apache.tinkerpop.shaded.jackson.databind.ObjectMapper@6b2e0f78
gremlin> mapper.writeValueAsString(g.V(1).repeat(out()).emit().tree().next())
==>{"1":{"key":{"id":1,"label":"vertex","type":"vertex","properties":{"name":[{"id":0,"value":"marko"}],"age":[{"id":2,"value":29}]}},"value":{"2":{"key":{"id":2,"label":"vertex","type":"vertex","properties":{"name":[{"id":3,"value":"vadas"}],"age":[{"id":4,"value":27}]}},"value":{}},"3":{"key":{"id":3,"label":"vertex","type":"vertex","properties":{"name":[{"id":5,"value":"lop"}],"lang":[{"id":6,"value":"java"}]}},"value":{}},"4":{"key":{"id":4,"label":"vertex","type":"vertex","properties":{"name":[{"id":7,"value":"josh"}],"age":[{"id":8,"value":32}]}},"value":{"3":{"key":{"id":3,"label":"vertex","type":"vertex","properties":{"name":[{"id":5,"value":"lop"}],"lang":[{"id":6,"value":"java"}]}},"value":{}},"5":{"key":{"id":5,"label":"vertex","type":"vertex","properties":{"name":[{"id":9,"value":"ripple"}],"lang":[{"id":10,"value":"java"}]}},"value":{}}}}}}}
格式化为：
{
"1": {
"key": {
"id": 1,
"label": "vertex",
"type": "vertex",
"properties": {
"name": [{
"id": 0,
"value": "marko"
}],
"age": [{
"id": 2,
"value": 29
}]
}
},
"value": {
"2": {
"key": {
"id": 2,
"label": "vertex",
"type": "vertex",
"properties": {
"name": [{
"id": 3,
"value": "vadas"
}],
"age": [{
"id": 4,
"value": 27
}]
}
},
"value": {}
},
"3": {
"key": {
"id": 3,
"label": "vertex",
"type": "vertex",
"properties": {
"name": [{
"id": 5,
"value": "lop"
}],
"lang": [{
"id": 6,
"value": "java"
}]
}
},
"value": {}
},
"4": {
"key": {
"id": 4,
"label": "vertex",
"type": "vertex",
"properties": {
"name": [{
"id": 7,
"value": "josh"
}],
"age": [{
"id": 8,
"value": 32
}]
}
},
"value": {
"3": {
"key": {
"id": 3,
"label": "vertex",
"type": "vertex",
"properties": {
"name": [{
"id": 5,
"value": "lop"
}],
"lang": [{
"id": 6,
"value": "java"
}]
}
},
"value": {}
},
"5": {
"key": {
"id": 5,
"label": "vertex",
"type": "vertex",
"properties": {
"name": [{
"id": 9,
"value": "ripple"
}],
"lang": [{
"id": 10,
"value": "java"
}]
}
},
"value": {}
}
}
}
}
}
}
在GraphSON 2.0中，你得到了这个：
gremlin> mapper = graph.io(graphson()).mapper().version(GraphSONVersion.V2_0).create().createMapper()
==>org.apache.tinkerpop.shaded.jackson.databind.ObjectMapper@3ffb3598
gremlin> mapper.writeValueAsString(g.V(1).repeat(out()).emit().tree().next())
==>{"@type":"g:Tree","@value":[{"key":{"@type":"g:Vertex","@value":{"id":{"@type":"g:Int32","@value":1},"label":"vertex","properties":{"name":[{"@type":"g:VertexProperty","@value":{"id":{"@type":"g:Int32","@value":0},"value":"marko","label":"name"}}],"age":[{"@type":"g:VertexProperty","@value":{"id":{"@type":"g:Int32","@value":2},"value":{"@type":"g:Int32","@value":29},"label":"age"}}]}}},"value":{"@type":"g:Tree","@value":[{"key":{"@type":"g:Vertex","@value":{"id":{"@type":"g:Int32","@value":2},"label":"vertex","properties":{"name":[{"@type":"g:VertexProperty","@value":{"id":{"@type":"g:Int32","@value":3},"value":"vadas","label":"name"}}],"age":[{"@type":"g:VertexProperty","@value":{"id":{"@type":"g:Int32","@value":4},"value":{"@type":"g:Int32","@value":27},"label":"age"}}]}}},"value":{"@type":"g:Tree","@value":[]}},{"key":{"@type":"g:Vertex","@value":{"id":{"@type":"g:Int32","@value":3},"label":"vertex","properties":{"name":[{"@type":"g:VertexProperty","@value":{"id":{"@type":"g:Int32","@value":5},"value":"lop","label":"name"}}],"lang":[{"@type":"g:VertexProperty","@value":{"id":{"@type":"g:Int32","@value":6},"value":"java","label":"lang"}}]}}},"value":{"@type":"g:Tree","@value":[]}},{"key":{"@type":"g:Vertex","@value":{"id":{"@type":"g:Int32","@value":4},"label":"vertex","properties":{"name":[{"@type":"g:VertexProperty","@value":{"id":{"@type":"g:Int32","@value":7},"value":"josh","label":"name"}}],"age":[{"@type":"g:VertexProperty","@value":{"id":{"@type":"g:Int32","@value":8},"value":{"@type":"g:Int32","@value":32},"label":"age"}}]}}},"value":{"@type":"g:Tree","@value":[{"key":{"@type":"g:Vertex","@value":{"id":{"@type":"g:Int32","@value":3},"label":"vertex","properties":{"name":[{"@type":"g:VertexProperty","@value":{"id":{"@type":"g:Int32","@value":5},"value":"lop","label":"name"}}],"lang":[{"@type":"g:VertexProperty","@value":{"id":{"@type":"g:Int32","@value":6},"value":"java","label":"lang"}}]}}},"value":{"@type":"g:Tree","@value":[]}},{"key":{"@type":"g:Vertex","@value":{"id":{"@type":"g:Int32","@value":5},"label":"vertex","properties":{"name":[{"@type":"g:VertexProperty","@value":{"id":{"@type":"g:Int32","@value":9},"value":"ripple","label":"name"}}],"lang":[{"@type":"g:VertexProperty","@value":{"id":{"@type":"g:Int32","@value":10},"value":"java","label":"lang"}}]}}},"value":{"@type":"g:Tree","@value":[]}}]}}]}}]}
格式为：
{
"@type": "g:Tree",
"@value": [{
"key": {
"label": "vertex",
"name": ["marko"],
"id": {
"@type": "g:Int32",
"@value": 1
},
"age": [{
"@type": "g:Int32",
"@value": 29
}]
},
"value": {
"@type": "g:Tree",
"@value": [{
"key": {
"label": "vertex",
"name": ["lop"],
"id": {
"@type": "g:Int32",
"@value": 3
},
"lang": ["java"]
},
"value": {
"@type": "g:Tree",
"@value": []
}
}, {
"key": {
"label": "vertex",
"name": ["vadas"],
"id": {
"@type": "g:Int32",
"@value": 2
},
"age": [{
"@type": "g:Int32",
"@value": 27
}]
},
"value": {
"@type": "g:Tree",
"@value": []
}
}, {
"key": {
"label": "vertex",
"name": ["josh"],
"id": {
"@type": "g:Int32",
"@value": 4
},
"age": [{
"@type": "g:Int32",
"@value": 32
}]
},
"value": {
"@type": "g:Tree",
"@value": [{
"key": {
"label": "vertex",
"name": ["ripple"],
"id": {
"@type": "g:Int32",
"@value": 5
},
"lang": ["java"]
},
"value": {
"@type": "g:Tree",
"@value": []
}
}, {
"key": {
"label": "vertex",
"name": ["lop"],
"id": {
"@type": "g:Int32",
"@value": 3
},
"lang": ["java"]
},
"value": {
"@type": "g:Tree",
"@value": []
}
}]
}
}]
}
}]
}
请注意，对于GraphSON 2.0，您还可以使用by(valueMap(true))：
gremlin> mapper.writeValueAsString(g.V(1).repeat(out()).emit().tree().by(valueMap(true)).next())
==>{"@type":"g:Tree","@value":[{"key":{"label":"vertex","name":["marko"],"id":{"@type":"g:Int32","@value":1},"age":[{"@type":"g:Int32","@value":29}]},"value":{"@type":"g:Tree","@value":[{"key":{"label":"vertex","name":["lop"],"id":{"@type":"g:Int32","@value":3},"lang":["java"]},"value":{"@type":"g:Tree","@value":[]}},{"key":{"label":"vertex","name":["vadas"],"id":{"@type":"g:Int32","@value":2},"age":[{"@type":"g:Int32","@value":27}]},"value":{"@type":"g:Tree","@value":[]}},{"key":{"label":"vertex","name":["josh"],"id":{"@type":"g:Int32","@value":4},"age":[{"@type":"g:Int32","@value":32}]},"value":{"@type":"g:Tree","@value":[{"key":{"label":"vertex","name":["ripple"],"id":{"@type":"g:Int32","@value":5},"lang":["java"]},"value":{"@type":"g:Tree","@value":[]}},{"key":{"label":"vertex","name":["lop"],"id":{"@type":"g:Int32","@value":3},"lang":["java"]},"value":{"@type":"g:Tree","@value":[]}}]}}]}}]}
格式为：
{
"@type": "g:Tree",
"@value": [{
"key": {
"label": "vertex",
"name": ["marko"],
"id": {
"@type": "g:Int32",
"@value": 1
},
"age": [{
"@type": "g:Int32",
"@value": 29
}]
},
"value": {
"@type": "g:Tree",
"@value": [{
"key": {
"label": "vertex",
"name": ["lop"],
"id": {
"@type": "g:Int32",
"@value": 3
},
"lang": ["java"]
},
"value": {
"@type": "g:Tree",
"@value": []
}
}, {
"key": {
"label": "vertex",
"name": ["vadas"],
"id": {
"@type": "g:Int32",
"@value": 2
},
"age": [{
"@type": "g:Int32",
"@value": 27
}]
},
"value": {
"@type": "g:Tree",
"@value": []
}
}, {
"key": {
"label": "vertex",
"name": ["josh"],
"id": {
"@type": "g:Int32",
"@value": 4
},
"age": [{
"@type": "g:Int32",
"@value": 32
}]
},
"value": {
"@type": "g:Tree",
"@value": [{
"key": {
"label": "vertex",
"name": ["ripple"],
"id": {
"@type": "g:Int32",
"@value": 5
},
"lang": ["java"]
},
"value": {
"@type": "g:Tree",
"@value": []
}
}, {
"key": {
"label": "vertex",
"name": ["lop"],
"id": {
"@type": "g:Int32",
"@value": 3
},
"lang": ["java"]
},
"value": {
"@type": "g:Tree",
"@value": []
}
}]
}
}]
}
}]
}
如果你使用旧版本的TinkerPop回到3.0.x，那么树的一些限制并不容易解决。唯一的方法是采用原始树并对其进行后处理，以使其成为对JSON友好的表单。这是一种方法：
gremlin> convert = { it.collectEntries{ k,v -> [(k.id()): [k, v.isEmpty() ? v : convert(v)]] }}
==>groovysh_evaluate$_run_closure1@255e5e2e
gremlin> t = g.V(1).repeat(out()).emit().tree().next()
==>v[1]={v[2]={}, v[3]={}, v[4]={v[3]={}, v[5]={}}}
gremlin> convert(t)
==>1=[v[1], {2=[v[2], {}], 3=[v[3], {}], 4=[v[4], {3=[v[3], {}], 5=[v[5], {}]}]}]
gremlin> mapper.writeValueAsString(convert(t))
==>{"1":[{"id":1,"label":"vertex","type":"vertex","properties":{"name":[{"id":0,"value":"marko"}],"age":[{"id":2,"value":29}]}},{"2":[{"id":2,"label":"vertex","type":"vertex","properties":{"name":[{"id":3,"value":"vadas"}],"age":[{"id":4,"value":27}]}},{}],"3":[{"id":3,"label":"vertex","type":"vertex","properties":{"name":[{"id":5,"value":"lop"}],"lang":[{"id":6,"value":"java"}]}},{}],"4":[{"id":4,"label":"vertex","type":"vertex","properties":{"name":[{"id":7,"value":"josh"}],"age":[{"id":8,"value":32}]}},{"3":[{"id":3,"label":"vertex","type":"vertex","properties":{"name":[{"id":5,"value":"lop"}],"lang":[{"id":6,"value":"java"}]}},{}],"5":[{"id":5,"label":"vertex","type":"vertex","properties":{"name":[{"id":9,"value":"ripple"}],"lang":[{"id":10,"value":"java"}]}},{}]}]}]}
这种格式在GraphSON 1.0（3.0.x中使用的）中：
{
"1": [{
"id": 1,
"label": "vertex",
"type": "vertex",
"properties": {
"name": [{
"id": 0,
"value": "marko"
}],
"age": [{
"id": 2,
"value": 29
}]
}
}, {
"2": [{
"id": 2,
"label": "vertex",
"type": "vertex",
"properties": {
"name": [{
"id": 3,
"value": "vadas"
}],
"age": [{
"id": 4,
"value": 27
}]
}
}, {}],
"3": [{
"id": 3,
"label": "vertex",
"type": "vertex",
"properties": {
"name": [{
"id": 5,
"value": "lop"
}],
"lang": [{
"id": 6,
"value": "java"
}]
}
}, {}],
"4": [{
"id": 4,
"label": "vertex",
"type": "vertex",
"properties": {
"name": [{
"id": 7,
"value": "josh"
}],
"age": [{
"id": 8,
"value": 32
}]
}
}, {
"3": [{
"id": 3,
"label": "vertex",
"type": "vertex",
"properties": {
"name": [{
"id": 5,
"value": "lop"
}],
"lang": [{
"id": 6,
"value": "java"
}]
}
}, {}],
"5": [{
"id": 5,
"label": "vertex",
"type": "vertex",
"properties": {
"name": [{
"id": 9,
"value": "ripple"
}],
"lang": [{
"id": 10,
"value": "java"
}]
}
}, {}]
}]
}]
}
我创建的convert()函数只是递归地迭代树，并将每个[vertex: children]转换为[vertexId: [vertex,children]。您可以转换为您喜欢的任何格式，只要您构建有效的JSON，其中有一个可用的String键字段。我可以轻松地使convert()函数返回[vertexId: [node: vertex, leaves: children]：
gremlin> convert = { it.collectEntries{ k,v -> [(k.id()): [node: k, leaves:v.isEmpty() ? v : convert(v)]] }}
==>groovysh_evaluate$_run_closure1@2ab5afc7
gremlin> mapper.writeValueAsString(convert(t))
==>{"1":{"node":{"id":1,"label":"vertex","type":"vertex","properties":{"name":[{"id":0,"value":"marko"}],"age":[{"id":2,"value":29}]}},"leaves":{"2":{"node":{"id":2,"label":"vertex","type":"vertex","properties":{"name":[{"id":3,"value":"vadas"}],"age":[{"id":4,"value":27}]}},"leaves":{}},"3":{"node":{"id":3,"label":"vertex","type":"vertex","properties":{"name":[{"id":5,"value":"lop"}],"lang":[{"id":6,"value":"java"}]}},"leaves":{}},"4":{"node":{"id":4,"label":"vertex","type":"vertex","properties":{"name":[{"id":7,"value":"josh"}],"age":[{"id":8,"value":32}]}},"leaves":{"3":{"node":{"id":3,"label":"vertex","type":"vertex","properties":{"name":[{"id":5,"value":"lop"}],"lang":[{"id":6,"value":"java"}]}},"leaves":{}},"5":{"node":{"id":5,"label":"vertex","type":"vertex","properties":{"name":[{"id":9,"value":"ripple"}],"lang":[{"id":10,"value":"java"}]}},"leaves":{}}}}}}}