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Apache 点燃嵌入式集群模式

[英]Apache Ignite embedded cluster mode

我已经运行了两个具有以下配置的嵌入式模式应用程序:

public IgniteConfigurer config() {
    return cfg -> {
        // The node will be started as a client node.
        cfg.setClientMode(false);
        // Classes of custom Java logic will be transferred over the wire from this app.
        cfg.setPeerClassLoadingEnabled(false);
        // Setting up an IP Finder to ensure the client can locate the servers.
        final TcpDiscoveryMulticastIpFinder ipFinder = new TcpDiscoveryMulticastIpFinder();
        ipFinder.setAddresses(Collections.singletonList(cacheServerIp));
        cfg.setDiscoverySpi(new TcpDiscoverySpi().setIpFinder(ipFinder));
        // Cache Metrics log frequency. If 0 then log print disable.
        cfg.setMetricsLogFrequency(Integer.parseInt(cacheMetricsLogFrequency));
        // setting up storage configuration
        final DataStorageConfiguration storageCfg = new DataStorageConfiguration();
        storageCfg.getDefaultDataRegionConfiguration().setPersistenceEnabled(true);
        storageCfg.setStoragePath(cacheStorage);
        // setting up data region for storage
        final DataRegionConfiguration defaultRegion = new DataRegionConfiguration();
        defaultRegion.setName(cacheDefaultRegionName);
        // Sets initial memory region size. When the used memory size exceeds this value, new chunks of memory will be allocated
        defaultRegion.setInitialSize(Long.parseLong(cacheRegionInitSize));
        storageCfg.setDefaultDataRegionConfiguration(defaultRegion);
        cfg.setDataStorageConfiguration(storageCfg);
        cfg.setWorkDirectory(cacheStorage);
        final TcpCommunicationSpi communicationSpi = new TcpCommunicationSpi();
        // Sets message queue limit for incoming and outgoing messages
        communicationSpi.setMessageQueueLimit(Integer.parseInt(cacheTcpCommunicationSpiMessageQueueLimit));
        cfg.setCommunicationSpi(communicationSpi);
        final CacheCheckpointSpi cpSpi = new CacheCheckpointSpi();
        cfg.setCheckpointSpi(cpSpi);
        final FifoQueueCollisionSpi colSpi = new FifoQueueCollisionSpi();
        // Execute all jobs sequentially by setting parallel job number to 1.
        colSpi.setParallelJobsNumber(Integer.parseInt(cacheParallelJobs));
        cfg.setCollisionSpi(colSpi);
        // set failure handler for auto connection if ignite server stop/starts.
        cfg.setFailureHandler(new StopNodeFailureHandler());
    };
}

App1将数据放入缓存中,而App2从缓存中读取数据。 我已经设置了本地 IP 即ipFinder.setAddresses(Collections.singletonList("127.0.0.1:47500..47509"));

因此,本地两个应用程序(即 app1 和 app2)都连接在集群上。 当我在服务器上使用 IP 更改相同的配置时,即ipFinder.setAddresses(Collections.singletonList("server1.com:47500..47509"));

两个服务器,即 app1 和 app2 都没有连接到集群中。

只有当所有应用程序(即 app1 和 app2)都在同一台机器上时,它才嵌入工作吗?

尝试使用static TcpDiscoveryVmIpFinder来定位问题。 默认情况下,TcpDiscoveryMulticastIpFinder 会尝试扫描所有可用的主机以发现 Ignite 节点,并且根据超时,这可能需要一段时间。

假设您的两个节点仍在同一台机器上运行,您可能会保留 localhost 配置:“127.0.0.1:47500..47509”。 "server1.com:47500..47509" should also work if DNS name "server1.com" resolves to the correct IP address, the best way to check that - just to run a ping command to check how localhost and server1.com are正在解决。

If you are running on different machines, then you need to have a list of addresses rather than a singleton: "server1.com:47500..47509", "server2.com:47500.47509" etc.

还建议检查端口是否打开,如果有许多不同的接口可用,则可能显式配置localHost

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