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feat: pre-load some data in container(#840)
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# Deploy Hugegraph server with docker compose(WIP) | ||
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## 1. Deploy | ||
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We can use `docker-compose up -d` to quickly start an inner HugeGraph server with RocksDB in background. | ||
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The docker-compose.yaml is below: | ||
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```yaml | ||
version: '3' | ||
services: | ||
graph: | ||
image: hugegraph/hugegraph | ||
ports: | ||
- 18080:8080 | ||
``` | ||
## 2. Create Sample Graph on Server Startup | ||
If you want to pre-load some data or graphs in container, you can set the env `PRELOAD=ture` | ||
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If you want to customize the pre-loaded data, please mount the the groovy scripts | ||
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```yaml | ||
version: '3' | ||
services: | ||
graph: | ||
image: hugegraph/hugegraph | ||
environment: | ||
- PRELOAD=true | ||
volumes: | ||
- /path/to/yourscript:/hugegraph/scripts/example-preload.groovy | ||
ports: | ||
- 18080:8080 | ||
``` |
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hugegraph-dist/src/assembly/static/conf/gremlin-server-preload.yaml
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# | ||
# Licensed to the Apache Software Foundation (ASF) under one or more | ||
# contributor license agreements. See the NOTICE file distributed with | ||
# this work for additional information regarding copyright ownership. | ||
# The ASF licenses this file to You under the Apache License, Version 2.0 | ||
# (the "License"); you may not use this file except in compliance with | ||
# the License. You may obtain a copy of the License at | ||
# | ||
# http://www.apache.org/licenses/LICENSE-2.0 | ||
# | ||
# Unless required by applicable law or agreed to in writing, software | ||
# distributed under the License is distributed on an "AS IS" BASIS, | ||
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
# See the License for the specific language governing permissions and | ||
# limitations under the License. | ||
# | ||
# host and port of gremlin server, need to be consistent with host and port in rest-server.properties | ||
#host: 127.0.0.1 | ||
#port: 8182 | ||
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# timeout in ms of gremlin query | ||
evaluationTimeout: 30000 | ||
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channelizer: org.apache.tinkerpop.gremlin.server.channel.WsAndHttpChannelizer | ||
# don't set graph at here, this happens after support for dynamically adding graph | ||
graphs: { | ||
} | ||
scriptEngines: { | ||
gremlin-groovy: { | ||
staticImports: [ | ||
org.opencypher.gremlin.process.traversal.CustomPredicates.*', | ||
org.opencypher.gremlin.traversal.CustomFunctions.* | ||
], | ||
plugins: { | ||
org.apache.hugegraph.plugin.HugeGraphGremlinPlugin: {}, | ||
org.apache.tinkerpop.gremlin.server.jsr223.GremlinServerGremlinPlugin: {}, | ||
org.apache.tinkerpop.gremlin.jsr223.ImportGremlinPlugin: { | ||
classImports: [ | ||
java.lang.Math, | ||
org.apache.hugegraph.backend.id.IdGenerator, | ||
org.apache.hugegraph.type.define.Directions, | ||
org.apache.hugegraph.type.define.NodeRole, | ||
org.apache.hugegraph.traversal.algorithm.CollectionPathsTraverser, | ||
org.apache.hugegraph.traversal.algorithm.CountTraverser, | ||
org.apache.hugegraph.traversal.algorithm.CustomizedCrosspointsTraverser, | ||
org.apache.hugegraph.traversal.algorithm.CustomizePathsTraverser, | ||
org.apache.hugegraph.traversal.algorithm.FusiformSimilarityTraverser, | ||
org.apache.hugegraph.traversal.algorithm.HugeTraverser, | ||
org.apache.hugegraph.traversal.algorithm.JaccardSimilarTraverser, | ||
org.apache.hugegraph.traversal.algorithm.KneighborTraverser, | ||
org.apache.hugegraph.traversal.algorithm.KoutTraverser, | ||
org.apache.hugegraph.traversal.algorithm.MultiNodeShortestPathTraverser, | ||
org.apache.hugegraph.traversal.algorithm.NeighborRankTraverser, | ||
org.apache.hugegraph.traversal.algorithm.PathsTraverser, | ||
org.apache.hugegraph.traversal.algorithm.PersonalRankTraverser, | ||
org.apache.hugegraph.traversal.algorithm.SameNeighborTraverser, | ||
org.apache.hugegraph.traversal.algorithm.ShortestPathTraverser, | ||
org.apache.hugegraph.traversal.algorithm.SingleSourceShortestPathTraverser, | ||
org.apache.hugegraph.traversal.algorithm.SubGraphTraverser, | ||
org.apache.hugegraph.traversal.algorithm.TemplatePathsTraverser, | ||
org.apache.hugegraph.traversal.algorithm.steps.EdgeStep, | ||
org.apache.hugegraph.traversal.algorithm.steps.RepeatEdgeStep, | ||
org.apache.hugegraph.traversal.algorithm.steps.WeightedEdgeStep, | ||
org.apache.hugegraph.traversal.optimize.ConditionP, | ||
org.apache.hugegraph.traversal.optimize.Text, | ||
org.apache.hugegraph.traversal.optimize.TraversalUtil, | ||
org.apache.hugegraph.util.DateUtil, | ||
org.opencypher.gremlin.traversal.CustomFunctions, | ||
org.opencypher.gremlin.traversal.CustomPredicate | ||
], | ||
methodImports: [ | ||
java.lang.Math#*, | ||
org.opencypher.gremlin.traversal.CustomPredicate#*, | ||
org.opencypher.gremlin.traversal.CustomFunctions#* | ||
] | ||
}, | ||
org.apache.tinkerpop.gremlin.jsr223.ScriptFileGremlinPlugin: { | ||
files: [scripts/example-preload.groovy] | ||
} | ||
} | ||
} | ||
} | ||
serializers: | ||
- { className: org.apache.tinkerpop.gremlin.driver.ser.GraphBinaryMessageSerializerV1, | ||
config: { | ||
serializeResultToString: false, | ||
ioRegistries: [org.apache.hugegraph.io.HugeGraphIoRegistry] | ||
} | ||
} | ||
- { className: org.apache.tinkerpop.gremlin.driver.ser.GraphSONMessageSerializerV1d0, | ||
config: { | ||
serializeResultToString: false, | ||
ioRegistries: [org.apache.hugegraph.io.HugeGraphIoRegistry] | ||
} | ||
} | ||
- { className: org.apache.tinkerpop.gremlin.driver.ser.GraphSONMessageSerializerV2d0, | ||
config: { | ||
serializeResultToString: false, | ||
ioRegistries: [org.apache.hugegraph.io.HugeGraphIoRegistry] | ||
} | ||
} | ||
- { className: org.apache.tinkerpop.gremlin.driver.ser.GraphSONMessageSerializerV3d0, | ||
config: { | ||
serializeResultToString: false, | ||
ioRegistries: [org.apache.hugegraph.io.HugeGraphIoRegistry] | ||
} | ||
} | ||
metrics: { | ||
consoleReporter: {enabled: false, interval: 180000}, | ||
csvReporter: {enabled: false, interval: 180000, fileName: ./metrics/gremlin-server-metrics.csv}, | ||
jmxReporter: {enabled: false}, | ||
slf4jReporter: {enabled: false, interval: 180000}, | ||
gangliaReporter: {enabled: false, interval: 180000, addressingMode: MULTICAST}, | ||
graphiteReporter: {enabled: false, interval: 180000} | ||
} | ||
maxInitialLineLength: 4096 | ||
maxHeaderSize: 8192 | ||
maxChunkSize: 8192 | ||
maxContentLength: 65536 | ||
maxAccumulationBufferComponents: 1024 | ||
resultIterationBatchSize: 64 | ||
writeBufferLowWaterMark: 32768 | ||
writeBufferHighWaterMark: 65536 | ||
ssl: { | ||
enabled: false | ||
} |
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hugegraph-dist/src/assembly/static/scripts/example-preload.groovy
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/* | ||
* Licensed to the Apache Software Foundation (ASF) under one or more | ||
* contributor license agreements. See the NOTICE file distributed with this | ||
* work for additional information regarding copyright ownership. The ASF | ||
* licenses this file to You under the Apache License, Version 2.0 (the | ||
* "License"); you may not use this file except in compliance with the License. | ||
* You may obtain a copy of the License at | ||
* | ||
* http://www.apache.org/licenses/LICENSE-2.0 | ||
* | ||
* Unless required by applicable law or agreed to in writing, software | ||
* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT | ||
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the | ||
* License for the specific language governing permissions and limitations | ||
* under the License. | ||
*/ | ||
import org.apache.hugegraph.HugeFactory | ||
import org.apache.hugegraph.backend.id.IdGenerator | ||
import org.apache.hugegraph.dist.RegisterUtil | ||
import org.apache.hugegraph.type.define.NodeRole | ||
import org.apache.tinkerpop.gremlin.structure.T | ||
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conf = "conf/graphs/hugegraph.properties" | ||
graph = HugeFactory.open(conf) | ||
schema = graph.schema() | ||
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schema.propertyKey("name").asText().ifNotExist().create() | ||
schema.propertyKey("age").asInt().ifNotExist().create() | ||
schema.propertyKey("city").asText().ifNotExist().create() | ||
schema.propertyKey("weight").asDouble().ifNotExist().create() | ||
schema.propertyKey("lang").asText().ifNotExist().create() | ||
schema.propertyKey("date").asText().ifNotExist().create() | ||
schema.propertyKey("price").asInt().ifNotExist().create() | ||
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schema.vertexLabel("person").properties("name", "age", "city").primaryKeys("name").ifNotExist().create() | ||
schema.vertexLabel("software").properties("name", "lang", "price").primaryKeys("name").ifNotExist().create() | ||
schema.indexLabel("personByCity").onV("person").by("city").secondary().ifNotExist().create() | ||
schema.indexLabel("personByAgeAndCity").onV("person").by("age", "city").secondary().ifNotExist().create() | ||
schema.indexLabel("softwareByPrice").onV("software").by("price").range().ifNotExist().create() | ||
schema.edgeLabel("knows").sourceLabel("person").targetLabel("person").properties("date", "weight").ifNotExist().create() | ||
schema.edgeLabel("created").sourceLabel("person").targetLabel("software").properties("date", "weight").ifNotExist().create() | ||
schema.indexLabel("createdByDate").onE("created").by("date").secondary().ifNotExist().create() | ||
schema.indexLabel("createdByWeight").onE("created").by("weight").range().ifNotExist().create() | ||
schema.indexLabel("knowsByWeight").onE("knows").by("weight").range().ifNotExist().create() | ||
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marko = graph.addVertex(T.label, "person", "name", "marko", "age", 29, "city", "Beijing") | ||
vadas = graph.addVertex(T.label, "person", "name", "vadas", "age", 27, "city", "Hongkong") | ||
lop = graph.addVertex(T.label, "software", "name", "lop", "lang", "java", "price", 328) | ||
josh = graph.addVertex(T.label, "person", "name", "josh", "age", 32, "city", "Beijing") | ||
ripple = graph.addVertex(T.label, "software", "name", "ripple", "lang", "java", "price", 199) | ||
peter = graph.addVertex(T.label, "person", "name", "peter", "age", 35, "city", "Shanghai") | ||
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marko.addEdge("knows", vadas, "date", "20160110", "weight", 0.5) | ||
marko.addEdge("knows", josh, "date", "20130220", "weight", 1.0) | ||
marko.addEdge("created", lop, "date", "20171210", "weight", 0.4) | ||
josh.addEdge("created", lop, "date", "20091111", "weight", 0.4) | ||
josh.addEdge("created", ripple, "date", "20171210", "weight", 1.0) | ||
peter.addEdge("created", lop, "date", "20170324", "weight", 0.2) | ||
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graph.tx().commit() | ||
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g = graph.traversal() | ||
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System.out.println(">>>> query all vertices: size=" + g.V().toList().size()) | ||
System.out.println(">>>> query all edges: size=" + g.E().toList().size()) |