elasticsearch 如何为每个机器上有两个节点的集群设置两台机器

5sxhfpxr  于 2023-04-11  发布在  ElasticSearch
关注(0)|答案(1)|浏览(185)

我有两台专用于ES（2.2.0）的机器。这两台机器的规格相同。每台机器都运行在Windows Server 2012 R2上，内存为128 GB。关于ES，我计划在每台机器上为集群设置两个节点。
我正在查看elasticsearch.yml，了解如何配置每个节点以形成集群。
位于同一网络上的两台计算机，具有以下服务器名称和IP地址：

SRC01, 172.21.0.21
SRC02, 172.21.0.22

我正在看elasticsearch.yml，我不知道如何设置。我想我需要在elasticsearch.yml中为Network和Discovery部分设置适当的值：

# ---------------------------------- Network -----------------------------------
#
# Set the bind address to a specific IP (IPv4 or IPv6):
#
# network.host: 192.168.0.1
#
# Set a custom port for HTTP:
#
# http.port: 9200
#
# --------------------------------- Discovery ----------------------------------
#
# Elasticsearch nodes will find each other via unicast, by default.
#
# Pass an initial list of hosts to perform discovery when new node is started:
# The default list of hosts is ["127.0.0.1", "[::1]"]
#
# discovery.zen.ping.unicast.hosts: ["host1", "host2"]
#
# Prevent the "split brain" by configuring the majority of nodes (total number of nodes / 2 + 1):
#
# discovery.zen.minimum_master_nodes: 3
#

我在网上搜索了一下，希望能找到一个完整的配置例子让我开始，但没有找到。

更新

在瓦尔的帮助下，下面是测试后我在四个节点（每台机器2个）上的最小elasticsearch.yml：

#----------SRC01, node 1---------
cluster.name: elastic
node.name: elastic_src01_1
network.host: 172.21.0.21
discovery.zen.ping.unicast.hosts: ["172.21.0.21","172.21.0.22"]

#----------SRC01, node 2---------
cluster.name: elastic
node.name: elastic_src01_2
network.host: 172.21.0.21
discovery.zen.ping.unicast.hosts: ["172.21.0.21","172.21.0.22"]

#----------SRC02, node 1---------
cluster.name: elastic
node.name: elastic_src02_1
network.host: 172.21.0.22
discovery.zen.ping.unicast.hosts: ["172.21.0.21","172.21.0.22"]

#----------SRC02, node 2---------
cluster.name: elastic
node.name: elastic_src02_2
network.host: 172.21.0.22
discovery.zen.ping.unicast.hosts: ["172.21.0.21","172.21.0.22"]

以下是我收到的问题：
1.我启动了节点elastic_src01_1，然后启动了节点elastic_src01_2，它们在同一台机器上。当启动elastic_src01_2时，我能够看到ES生成的消息如下（detected_master）
日志摘录：

[2016-02-28 12:38:33,155][INFO ][node                     ] [elastic_src01_2] version[2.2.0], pid[4620], build[8ff36d1/2016-01-27T13:32:39Z]
[2016-02-28 12:38:33,155][INFO ][node                     ] [elastic_src01_2] initializing ...
[2016-02-28 12:38:33,546][INFO ][plugins                  ] [elastic_src01_2] modules [lang-expression, lang-groovy], plugins [], sites []
[2016-02-28 12:38:33,562][INFO ][env                      ] [elastic_src01_2] using [1] data paths, mounts [[Data (E:)]], net usable_space [241.7gb],
net total_space [249.9gb], spins? [unknown], types [NTFS]
[2016-02-28 12:38:33,562][INFO ][env                      ] [elastic_src01_2] heap size [1.9gb], compressed ordinary object pointers [true]
[2016-02-28 12:38:35,077][INFO ][node                     ] [elastic_src01_2] initialized
[2016-02-28 12:38:35,077][INFO ][node                     ] [elastic_src01_2] starting ...
[2016-02-28 12:38:35,218][INFO ][transport                ] [elastic_src01_2] publish_address {172.21.0.21:9302}, bound_addresses {172.21.0.21:9302}
[2016-02-28 12:38:35,218][INFO ][discovery                ] [elastic_src01_2] elastic/N8r-gD9WQSSvAYMOlJzmIg
[2016-02-28 12:38:39,796][INFO ][cluster.service          ] [elastic_src01_2] detected_master {elastic_src01_1}{UWGAo0BKTQm2f650nyDKYg}{172.21.0.21}{1
72.21.0.21:9300}, added {{elastic_src01_1}{UWGAo0BKTQm2f650nyDKYg}{172.21.0.21}{172.21.0.21:9300},{elastic_src01_1}{qNDQjkmsRjiIVjZ88JsX4g}{172.21.0.2
1}{172.21.0.21:9301},}, reason: zen-disco-receive(from master [{elastic_src01_1}{UWGAo0BKTQm2f650nyDKYg}{172.21.0.21}{172.21.0.21:9300}])
[2016-02-28 12:38:39,843][INFO ][http                     ] [elastic_src01_2] publish_address {172.21.0.21:9202}, bound_addresses {172.21.0.21:9202}
[2016-02-28 12:38:39,843][INFO ][node                     ] [elastic_src01_2] started

但是，当我在SRC 02机器上启动Node 1时，我没有看到detected_master消息。以下是ES生成的消息：

[2016-02-28 12:22:52,256][INFO ][node                     ] [elastic_src02_1] version[2.2.0], pid[6432], build[8ff36d1/2016-01-27T13:32:39Z]
[2016-02-28 12:22:52,256][INFO ][node                     ] [elastic_src02_1] initializing ...
[2016-02-28 12:22:52,662][INFO ][plugins                  ] [elastic_src02_1] modules [lang-expression, lang-groovy], plugins [], sites []
[2016-02-28 12:22:52,693][INFO ][env                      ] [elastic_src02_1] using [1] data paths, mounts [[Data (E:)]], net usable_space [241.6gb], net total_
space [249.8gb], spins? [unknown], types [NTFS]
[2016-02-28 12:22:52,693][INFO ][env                      ] [elastic_src02_1] heap size [910.5mb], compressed ordinary object pointers [true]
[2016-02-28 12:22:54,193][INFO ][node                     ] [elastic_src02_1] initialized
[2016-02-28 12:22:54,193][INFO ][node                     ] [elastic_src02_1] starting ...
[2016-02-28 12:22:54,334][INFO ][transport                ] [elastic_src02_1] publish_address {172.21.0.22:9300}, bound_addresses {172.21.0.22:9300}
[2016-02-28 12:22:54,334][INFO ][discovery                ] [elastic_src02_1] elastic/SNvuAfnxQV-RW430zLF6Vg
[2016-02-28 12:22:58,912][INFO ][cluster.service          ] [elastic_src02_1] new_master {elastic_src02_1}{SNvuAfnxQV-RW430zLF6Vg}{172.21.0.22}{172.21.0.22:9300
}, reason: zen-disco-join(elected_as_master, [0] joins received)
[2016-02-28 12:22:58,943][INFO ][gateway                  ] [elastic_src02_1] recovered [0] indices into cluster_state
[2016-02-28 12:22:58,959][INFO ][http                     ] [elastic_src02_1] publish_address {172.21.0.22:9200}, bound_addresses {172.21.0.22:9200}
[2016-02-28 12:22:58,959][INFO ][node                     ] [elastic_src02_1] started

SRC 02机器上的节点是否真的与SRC 01机器上的节点形成了一个集群？
1.在同一台机器（SRC 01）上，如果添加
discovery.zen.minimum_master_nodes：3
到节点elastic_src01_1，elastic_src01_2的elasticsearch.yml文件，然后在机器SRC 01上启动第二个节点elastic_src01_2时，无法在ES生成的消息中看到detected_master。
这是否意味着elastic_src01_1和elastic_src01_2不形成集群？

更新2

SRC 01和SRC 02机器可以看到对方。下面是从SRC 02到SRC 01的ping结果：

C:\Users\Administrator>ping 172.21.0.21

Pinging 172.21.0.21 with 32 bytes of data:
Reply from 172.21.0.21: bytes=32 time<1ms TTL=128
Reply from 172.21.0.21: bytes=32 time<1ms TTL=128
Reply from 172.21.0.21: bytes=32 time<1ms TTL=128
Reply from 172.21.0.21: bytes=32 time<1ms TTL=128

更新3

问题解决了。之前我的安装程序不起作用的原因是服务器的防火墙阻止了9300/9200端口的通信。

elasticsearch

1条答案

按热度按时间
uklbhaso

uklbhaso1#

基本上，您只需要配置网络设置，以确保所有节点都可以在网络上看到对方。此外，由于您在同一台机器上运行两个节点，并且您仍然希望高可用性，因此您希望防止主分片及其副本降落在同一台物理机器上。
最后，由于集群中总共有四个节点，因此需要防止出现脑裂的情况，因此还需要设置discovery.zen.minimum_master_nodes。
SRC 01上的节点1/2：

# cluster name
cluster.name: Name_of_your_cluster

# Give each node a different name (optional but good practice if you don't know Marvel characters)
node.name: SRC01_Node1/2

# The IP that this node will bind to and publish
network.host: 172.21.0.21

# The IP of the other nodes
discovery.zen.ping.unicast.hosts: ["172.21.0.22"]

# prevent split brain
discovery.zen.minimum_master_nodes: 3    

# to prevent primary/replica shards to be on the same physical host 
# see why at http://stackoverflow.com/questions/35677741/proper-value-of-es-heap-size-for-a-dedicated-machine-with-two-nodes-in-a-cluster
cluster.routing.allocation.same_shard.host: true

# prevent memory swapping
bootstrap.mlockall: true

SRC 02上的节点1/2：

# cluster name
cluster.name: Name_of_your_cluster

# Give each node a different name (optional but good practice if you don't know Marvel characters)
node.name: SRC02_Node1/2

# The IP that this node will bind to and publish
network.host: 172.21.0.22

# The IP of the other nodes
discovery.zen.ping.unicast.hosts: ["172.21.0.21"]

# prevent split brain
discovery.zen.minimum_master_nodes: 3    

# to prevent primary/replica shards to be on the same physical host 
# see why at http://stackoverflow.com/questions/35677741/proper-value-of-es-heap-size-for-a-dedicated-machine-with-two-nodes-in-a-cluster
cluster.routing.allocation.same_shard.host: true

# prevent memory swapping
bootstrap.mlockall: true
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