這裏寫自定義目錄標題
說明
本文中的代碼基於janusgraph 0.3.1進行演示。數據文件都爲janusgraph包中自帶的數據文件。
1. Json導入到本地TinkerGraph
1.1 配置
conf/hadoop-graph/hadoop-load-json.properties 配置如下:
#
# Hadoop Graph Configuration
#
gremlin.graph=org.apache.tinkerpop.gremlin.hadoop.structure.HadoopGraph
gremlin.hadoop.graphReader=org.apache.tinkerpop.gremlin.hadoop.structure.io.graphson.GraphSONInputFormat
gremlin.hadoop.graphWriter=org.apache.hadoop.mapreduce.lib.output.NullOutputFormat
gremlin.hadoop.inputLocation=./data/grateful-dead.json
gremlin.hadoop.outputLocation=output
gremlin.hadoop.jarsInDistributedCache=true
#
# SparkGraphComputer Configuration
#
spark.master=local[*]
spark.executor.memory=1g
spark.serializer=org.apache.spark.serializer.KryoSerializer
spark.kryo.registrator=org.apache.tinkerpop.gremlin.spark.structure.io.gryo.GryoRegistrator
1.2 樣例Json
{"id":1,"label":"song","inE":{"followedBy":[{"id":3059,"outV":153,"properties":{"weight":1}},{"id":276,"outV":5,"properties":{"weight":2}},{"id":3704,"outV":3,"properties":{"weight":2}},{"id":4383,"outV":62,"pr
operties":{"weight":1}}]},"outE":{"followedBy":[{"id":0,"inV":2,"properties":{"weight":1}},{"id":1,"inV":3,"properties":{"weight":2}},{"id":2,"inV":4,"properties":{"weight":1}},{"id":3,"inV":5,"properties":{"we
ight":1}},{"id":4,"inV":6,"properties":{"weight":1}}],"sungBy":[{"id":7612,"inV":340}],"writtenBy":[{"id":7611,"inV":527}]},"properties":{"name":[{"id":0,"value":"HEY BO DIDDLEY"}],"songType":[{"id":2,"value":"
cover"}],"performances":[{"id":1,"value":5}]}}
{"id":2,"label":"song","inE":{"followedBy":[{"id":0,"outV":1,"properties":{"weight":1}},{"id":323,"outV":34,"properties":{"weight":1}}]},"outE":{"followedBy":[{"id":6190,"inV":123,"properties":{"weight":1}},{"i
d":6191,"inV":50,"properties":{"weight":1}}],"sungBy":[{"id":7666,"inV":525}],"writtenBy":[{"id":7665,"inV":525}]},"properties":{"name":[{"id":3,"value":"IM A MAN"}],"songType":[{"id":5,"value":"cover"}],"perfo
rmances":[{"id":4,"value":1}]}}
s
1.3 代碼
readGraph = GraphFactory.open('conf/hadoop-graph/hadoop-load-json.properties')
writeGraphConf = new BaseConfiguration()
writeGraphConf.setProperty("gremlin.graph", "org.apache.tinkerpop.gremlin.tinkergraph.structure.TinkerGraph")
writeGraphConf.setProperty("gremlin.tinkergraph.graphFormat", "gryo")
writeGraphConf.setProperty("gremlin.tinkergraph.graphLocation", "/tmp/csv-graph.kryo")
blvp = BulkLoaderVertexProgram.build().bulkLoader(OneTimeBulkLoader).writeGraph(writeGraphConf).create(readGraph)
readGraph.compute(SparkGraphComputer).workers(1).program(blvp).submit().get()
1.4 文件校驗
新生成的文件如下
[root@vm03 data]# ls -l /tmp/csv-graph.kryo
-rw-r--r--. 1 root root 726353 May 29 04:09 /tmp/csv-graph.kryo
2. CSV導入到本地TinkerGraph
2.1 配置
conf/hadoop-graph/hadoop-load-csv.properties 配置如下:
#
# Hadoop Graph Configuration
#
gremlin.graph=org.apache.tinkerpop.gremlin.hadoop.structure.HadoopGraph
gremlin.hadoop.graphReader=org.apache.tinkerpop.gremlin.hadoop.structure.io.script.ScriptInputFormat
gremlin.hadoop.graphWriter=org.apache.tinkerpop.gremlin.hadoop.structure.io.graphson.GraphSONOutputFormat
gremlin.hadoop.inputLocation=./data/grateful-dead.txt
gremlin.hadoop.outputLocation=output
gremlin.hadoop.jarsInDistributedCache=true
gremlin.hadoop.scriptInputFormat.script=./data/script-input-grateful-dead.groovy
#
# SparkGraphComputer Configuration
#
spark.master=local[*]
spark.executor.memory=1g
spark.serializer=org.apache.spark.serializer.KryoSerializer
spark.kryo.registrator=org.apache.tinkerpop.gremlin.spark.structure.io.gryo.GryoRegistrator
2.2 樣例CSV
1,song,HEY BO DIDDLEY,cover,5 followedBy,2,1|followedBy,3,2|followedBy,4,1|followedBy,5,1|followedBy,6,1|sungBy,340|writtenBy,527 followedBy,3,2|followedBy,5,2|followedBy,62,1|followedBy,153,1
2,song,IM A MAN,cover,1 followedBy,50,1|followedBy,123,1|sungBy,525|writtenBy,525 followedBy,1,1|followedBy,34,1
3,song,NOT FADE AWAY,cover,531 followedBy,81,1|followedBy,86,5|followedBy,127,10|followedBy,59,1|followedBy,83,3|followedBy,103,2|followedBy,68,1|followedBy,134,2|followedBy,131,1|followedBy,151,1|followedBy,3
2.3 代碼
script-input-grateful-dead.groovy 代碼如下：
def parse(line) {
def (vertex, outEdges, inEdges) = line.split(/\t/, 3)
def (v1id, v1label, v1props) = vertex.split(/,/, 3)
def v1 = graph.addVertex(T.id, v1id.toInteger(), T.label, v1label)
switch (v1label) {
case "song":
def (name, songType, performances) = v1props.split(/,/)
v1.property("name", name)
v1.property("songType", songType)
v1.property("performances", performances.toInteger())
break
case "artist":
v1.property("name", v1props)
break
default:
throw new Exception("Unexpected vertex label: ${v1label}")
}
[[outEdges, true], [inEdges, false]].each { def edges, def out ->
edges.split(/\|/).grep().each { def edge ->
def parts = edge.split(/,/)
def otherV, eLabel, weight = null
if (parts.size() == 2) {
(eLabel, otherV) = parts
} else {
(eLabel, otherV, weight) = parts
}
def v2 = graph.addVertex(T.id, otherV.toInteger())
def e = out ? v1.addOutEdge(eLabel, v2) : v1.addInEdge(eLabel, v2)
if (weight != null) e.property("weight", weight.toInteger())
}
}
return v1
}
janusgraph代碼：
readGraph = GraphFactory.open('conf/hadoop-graph/hadoop-load-csv.properties')
writeGraphConf = new BaseConfiguration()
writeGraphConf.setProperty("gremlin.graph", "org.apache.tinkerpop.gremlin.tinkergraph.structure.TinkerGraph")
writeGraphConf.setProperty("gremlin.tinkergraph.graphFormat", "gryo")
writeGraphConf.setProperty("gremlin.tinkergraph.graphLocation", "/tmp/csv-graph2.kryo")
blvp = BulkLoaderVertexProgram.build().bulkLoader(OneTimeBulkLoader).writeGraph(writeGraphConf).create(readGraph)
readGraph.compute(SparkGraphComputer).workers(1).program(blvp).submit().get()
g = GraphFactory.open(writeGraphConf).traversal()
g.V().valueMap(true)
2.4 文件校驗
新生成的文件如下
[root@vm03 data]# ls -l /tmp/csv-graph2.kryo
-rw-r--r--. 1 root root 339939 May 29 04:56 /tmp/csv-graph2.kryo
3. Json導入到分佈式存儲(berkeleyje-es)
3.1 配置
conf/hadoop-graph/hadoop-load-json-ber-es.properties 配置如下:
#
# Hadoop Graph Configuration
#
gremlin.graph=org.apache.tinkerpop.gremlin.hadoop.structure.HadoopGraph
gremlin.hadoop.graphReader=org.apache.tinkerpop.gremlin.hadoop.structure.io.graphson.GraphSONInputFormat
gremlin.hadoop.graphWriter=org.apache.hadoop.mapreduce.lib.output.NullOutputFormat
gremlin.hadoop.inputLocation=./data/grateful-dead.json
gremlin.hadoop.outputLocation=output
gremlin.hadoop.jarsInDistributedCache=true
#
# SparkGraphComputer Configuration
#
spark.master=local[*]
spark.executor.memory=1g
spark.serializer=org.apache.spark.serializer.KryoSerializer
spark.kryo.registrator=org.apache.tinkerpop.gremlin.spark.structure.io.gryo.GryoRegistrator
./conf/janusgraph-berkeleyje-es-bulkload.properties 配置如下：
gremlin.graph=org.janusgraph.core.JanusGraphFactory
storage.backend=berkeleyje
storage.directory=../db/berkeley
index.search.backend=elasticsearch
3.2 樣例Json
{"id":1,"label":"song","inE":{"followedBy":[{"id":3059,"outV":153,"properties":{"weight":1}},{"id":276,"outV":5,"properties":{"weight":2}},{"id":3704,"outV":3,"properties":{"weight":2}},{"id":4383,"outV":62,"pr
operties":{"weight":1}}]},"outE":{"followedBy":[{"id":0,"inV":2,"properties":{"weight":1}},{"id":1,"inV":3,"properties":{"weight":2}},{"id":2,"inV":4,"properties":{"weight":1}},{"id":3,"inV":5,"properties":{"we
ight":1}},{"id":4,"inV":6,"properties":{"weight":1}}],"sungBy":[{"id":7612,"inV":340}],"writtenBy":[{"id":7611,"inV":527}]},"properties":{"name":[{"id":0,"value":"HEY BO DIDDLEY"}],"songType":[{"id":2,"value":"
cover"}],"performances":[{"id":1,"value":5}]}}
{"id":2,"label":"song","inE":{"followedBy":[{"id":0,"outV":1,"properties":{"weight":1}},{"id":323,"outV":34,"properties":{"weight":1}}]},"outE":{"followedBy":[{"id":6190,"inV":123,"properties":{"weight":1}},{"i
d":6191,"inV":50,"properties":{"weight":1}}],"sungBy":[{"id":7666,"inV":525}],"writtenBy":[{"id":7665,"inV":525}]},"properties":{"name":[{"id":3,"value":"IM A MAN"}],"songType":[{"id":5,"value":"cover"}],"perfo
rmances":[{"id":4,"value":1}]}}
s
3.3 代碼
outputGraphConfig = './conf/janusgraph-berkeleyje-es-bulkload.properties'
readGraph = GraphFactory.open('conf/hadoop-graph/hadoop-load-json-ber-es.properties')
blvp = BulkLoaderVertexProgram.build().writeGraph(outputGraphConfig).create(readGraph)
readGraph.compute(SparkGraphComputer).workers(1).program(blvp).submit().get()
g = GraphFactory.open(outputGraphConfig).traversal()
g.V().valueMap(true)
3.4 驗證
通過gremlin-server搭建服務進行驗證
- gremline-server配置文件如下（gremlin-server-berkeleyje-bulkload.yaml），與gremlin-server-berkeleyje.yaml類似，下面的位置進行調整：
graph: conf/janusgraph-berkeleyje-es-bulkload.properties
- ./gremlin-server.sh conf/gremlin-server/gremlin-server-berkeleyje-bulkload.yaml 啓動服務
- 通過graphexp進行查詢