我希望我的应用程序连接到两个远程服务器 Gremlinserver/Janusserver。两者都有相同的 Cassandra 数据库。这样我就有了高可用性。
<dependency>
<groupId>org.janusgraph</groupId>
<artifactId>janusgraph-core</artifactId>
<version>0.2.0</version>
</dependency>
<dependency>
<groupId>org.apache.tinkerpop</groupId>
<artifactId>gremlin-driver</artifactId>
<version>3.2.6</version>
</dependency>
文件 gremlin.yaml:
hosts: [127.0.0.1,192.168.2.57]
port: 8182
serializer: { className: org.apache.tinkerpop.gremlin.driver.ser.GryoMessageSerializerV1d0, config: { serializeResultToString: true }}
在我的服务类中,我有几个方法,每个方法都通过客户端对象连接:
public class GremlinServiceConcrete implements GremlinService {
...
..
public Set<Long> getImpactedComponentsIds (...) throws GremlinServiceException {
..
Cluster cluster = gremlinCluster.getCluster();
Client client = null;
Set<Long> impactedIds = Sets.newHashSet();
try {
client = cluster.connect();
binding = Maps.newLinkedHashMap();
..
在 GremlinCluster 类中,我调用驱动程序
public class GremlinCluster {
public static final int MIN_CONNECTION_POOL_SIZE = 2;
public static final int MAX_CONNECTION_POOL_SIZE = 20;
public static final int MAX_CONTENT_LENGTH = 65536000;
private static Logger logger = LoggerFactory.getLogger(GremlinCluster.class);
private String server;
private Integer port;
private Cluster cluster;
public GremlinCluster(String server, Integer port) throws FileNotFoundException {
this.server = Objects.requireNonNull(server);
this.port = Objects.requireNonNull(port);
this.cluster = init();
}
private Cluster init() throws FileNotFoundException {
GryoMapper.Builder kryo = GryoMapper.build().addRegistry(JanusGraphIoRegistry.getInstance());
MessageSerializer serializer = new GryoMessageSerializerV1d0(kryo);
Cluster cluster = Cluster.build(new File("conf/driver-gremlin.yaml")).port(port)
.serializer(serializer)
.minConnectionPoolSize(MIN_CONNECTION_POOL_SIZE)
.maxConnectionPoolSize(MAX_CONNECTION_POOL_SIZE)
.maxContentLength(MAX_CONTENT_LENGTH).create();
logger.debug(String.format("New cluster connected at %s:%s", server, port));
return cluster;
}
public Cluster getCluster() {
return cluster;
}
public void destroy() {
try {
cluster.close();
} catch (Exception e) {
logger.debug("Error closing cluster connection: " + e.toString());
}
}
}
该应用程序通过仅连接到一台服务器运行良好。当您连接到服务器时,它运行非常缓慢。如果我停止服务器没有正确运行故障转移,我怀疑服务器以会话模式连接。Tinkerpop 文档没有指定两种模式之间的代码差异。
更正:缓慢是由于eclipse的调试模式。应用程序向两个 gremlinservers 发送请求,这部分集群功能工作正常。
服务器关闭时会发生错误操作。应用程序将请求发送到其他服务器。如果关闭的服务器已启动,则 gremlin 服务器不会检测到它并且不会重新连接。
gremlinserver 的输出: 在此处输入图像描述
GremlinCluster 是一个 spring bean (beans-services.xml):
<bean id="gremlinCluster" class="[Fully qualified name].GremlinCluster" scope="singleton" destroy-method="destroy">
<constructor-arg name="server"><value>${GremlinServerHost}</value></constructor-arg>
<constructor-arg name="port"><value>${GremlinServerPort}</value></constructor-arg>
</bean>
并在属性文件中。
GremlinServerHost=[Fully qualified name]/config/gremlin.yaml
GremlinServerPort=8182
在 GremlinCluster 类中:
import java.util.Objects;
import org.apache.tinkerpop.gremlin.driver.Cluster;
import org.apache.tinkerpop.gremlin.driver.MessageSerializer;
import org.apache.tinkerpop.gremlin.driver.ser.GryoMessageSerializerV1d0;
import org.apache.tinkerpop.gremlin.structure.io.gryo.GryoMapper;
import org.janusgraph.graphdb.tinkerpop.JanusGraphIoRegistry;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.io.File;
import java.io.FileNotFoundException;
public class GremlinCluster {
public static final int MIN_CONNECTION_POOL_SIZE = 2;
public static final int MAX_CONNECTION_POOL_SIZE = 20;
public static final int MAX_CONTENT_LENGTH = 65536000;
private static Logger logger = LoggerFactory.getLogger(GremlinCluster.class);
private String server;
private Integer port;
private Cluster cluster;
public GremlinCluster(String server, Integer port) throws FileNotFoundException {
this.server = Objects.requireNonNull(server);
this.port = Objects.requireNonNull(port);
this.cluster = init();
}
private Cluster init() throws FileNotFoundException {
GryoMapper.Builder kryo = GryoMapper.build().addRegistry(JanusGraphIoRegistry.getInstance());
MessageSerializer serializer = new GryoMessageSerializerV1d0(kryo);
Cluster cluster = Cluster.build(new File(server)).port(port)
.serializer(serializer)
.minConnectionPoolSize(MIN_CONNECTION_POOL_SIZE)
.maxConnectionPoolSize(MAX_CONNECTION_POOL_SIZE)
.maxContentLength(MAX_CONTENT_LENGTH).create();
logger.debug(String.format("New cluster connected at %s:%s", server, port));
return cluster;
}
public Cluster getCluster() {
return cluster;
}
public void destroy() {
try {
cluster.close();
} catch (Exception e) {
logger.debug("Error closing cluster connection: " + e.toString());
}
}
}
还有一个带有查询方法的示例(GremlinServiceConcrete):
@Override
public Long getNeighborsCount(List<Long> componentIds) throws GremlinServiceException {
// Check argument is right
if (componentIds == null || componentIds.isEmpty()) {
throw new GremlinServiceException("Cannot compute neighbors count with an empty list as argument");
}
Cluster cluster = gremlinCluster.getCluster();
Client client = null;
try {
client = cluster.connect();
String gremlin = "g.V(componentIds).both().dedup().count()";
Map<String, Object> parameters = Maps.newHashMap();
parameters.put("componentIds", componentIds);
if (logger.isDebugEnabled()) logger.debug("Submiting query [ " + gremlin + " ] with binding [ " + parameters + "]");
ResultSet resultSet = client.submit(gremlin, parameters);
Result result = resultSet.one();
return result.getLong();
} catch (Exception e) {
throw new GremlinServiceException("Error retrieving how many neighbors do vertices " + componentIds + " have: " + e.getMessage(), e);
} finally {
if (client != null) try { client.close(); } catch (Exception e) { /* NPE because connection was not initialized yet */ }
}
}
gremlin-server.yaml:
host: 127.0.0.1
port: 8182
scriptEvaluationTimeout: 600000
channelizer: org.apache.tinkerpop.gremlin.server.channel.WebSocketChannelizer
graphs: {
graph: conf/janusgraph-cassandra.properties
}
plugins:
- janusgraph.imports
scriptEngines: {
gremlin-groovy: {
imports: [java.lang.Math,org.janusgraph.core.schema.Mapping],
staticImports: [java.lang.Math.PI],
scripts: [scripts/empty-sample.groovy]}}
serializers:
- {
className: org.apache.tinkerpop.gremlin.driver.ser.GryoMessageSerializerV1d0,
config: {
bufferSize: 819200,
ioRegistries: [org.janusgraph.graphdb.tinkerpop.JanusGraphIoRegistry]
}
}
- { className: org.apache.tinkerpop.gremlin.driver.ser.GryoLiteMessageSerializerV1d0, config: {ioRegistries: [org.janusgraph.graphdb.tinkerpop.JanusGraphIoRegistry] }}
- { className: org.apache.tinkerpop.gremlin.driver.ser.GryoMessageSerializerV1d0, config: { serializeResultToString: true }}
- { className: org.apache.tinkerpop.gremlin.driver.ser.GraphSONMessageSerializerGremlinV1d0, config: { ioRegistries: [org.janusgraph.graphdb.tinkerpop.JanusGraphIoRegistryV1d0] }}
- { className: org.apache.tinkerpop.gremlin.driver.ser.GraphSONMessageSerializerGremlinV2d0, config: { ioRegistries: [org.janusgraph.graphdb.tinkerpop.JanusGraphIoRegistry] }}
- { className: org.apache.tinkerpop.gremlin.driver.ser.GraphSONMessageSerializerV1d0, config: { ioRegistries: [org.janusgraph.graphdb.tinkerpop.JanusGraphIoRegistryV1d0] }}
processors:
- { className: org.apache.tinkerpop.gremlin.server.op.session.SessionOpProcessor, config: { sessionTimeout: 28800000 }}
- { className: org.apache.tinkerpop.gremlin.server.op.traversal.TraversalOpProcessor, config: { cacheExpirationTime: 600000, cacheMaxSize: 1000 }}
metrics: {
consoleReporter: {enabled: true, interval: 180000},
csvReporter: {enabled: true, interval: 180000, fileName: /tmp/gremlin-server-metrics.csv},
jmxReporter: {enabled: true},
slf4jReporter: {enabled: true, interval: 180000},
gangliaReporter: {enabled: false, interval: 180000, addressingMode: MULTICAST},
graphiteReporter: {enabled: false, interval: 180000}}
maxInitialLineLength: 4096
maxHeaderSize: 8192
maxChunkSize: 4096000
maxContentLength: 65536000
maxAccumulationBufferComponents: 1024
resultIterationBatchSize: 64
writeBufferLowWaterMark: 32768
writeBufferHighWaterMark: 655360
janusgraph-cassandra.properties:
gremlin.graph=org.janusgraph.core.JanusGraphFactory
storage.backend=cassandrathrift
storage.hostname=192.168.2.57,192.168.2.70,192.168.2.77
cache.db-cache = true
cache.db-cache-clean-wait = 20
cache.db-cache-time = 180000
cache.db-cache-size = 0.5
#storage.cassandra.replication-strategy-class=org.apache.cassandra.locator.NetworkTopologyStrategy
#storage.cassandra.replication-strategy-options=dc1,2,dc2,1
storage.cassandra.read-consistency-level=QUORUM
storage.cassandra.write-consistency-level=QUORUM
ids.authority.conflict-avoidance-mode=GLOBAL_AUTO