# This file contains an overview of various configuration settings, # targeted at operations staff. Application developers should # consult the guide at <http://elasticsearch.org/guide>. # # The installation procedure is covered at # <http://elasticsearch.org/guide/en/elasticsearch/reference/current/ setup.html>. # # Elasticsearch comes with reasonable defaults for most settings, # so you can try it out without bothering with configuration. # # Most of the time, these defaults are just fine for running a production # cluster. If you're fine-tuning your cluster, or wondering about the # effect of certain configuration option, please _do ask_ on the # mailing list or IRC channel [http://elasticsearch.org/community]. # Any element in the configuration can be replaced with environment variables # by placing them in ${...} notation. For example: # # node.rack: ${RACK_ENV_VAR} # For information on supported formats and syntax for the config file, see # <http://elasticsearch.org/guide/en/elasticsearch/reference/current/ setup-configuration.html> ################################### Cluster ################################## # Cluster name identifies your cluster for auto-discovery. If you're running # multiple clusters on the same network, make sure you're using unique names. # cluster.name: buzzreader #################################### Node #################################### # Node names are generated dynamically on startup, so you're relieved # from configuring them manually. You can tie this node to a specific name: # node.name: "master.01" # Every node can be configured to allow or deny being eligible as the master, # and to allow or deny to store the data. # # Allow this node to be eligible as a master node (enabled by default): # node.master: true # # Allow this node to store data (enabled by default): # node.data: true # You can exploit these settings to design advanced cluster topologies. # # 1. You want this node to never become a master node, only to hold data. # This will be the "workhorse" of your cluster. # # node.master: false # node.data: true # # 2. You want this node to only serve as a master: to not store any data and # to have free resources. This will be the "coordinator" of your cluster. # # node.master: true # node.data: false # # 3. You want this node to be neither master nor data node, but # to act as a "search load balancer" (fetching data from nodes, # aggregating results, etc.) # # node.master: false # node.data: false # Use the Cluster Health API [http://localhost:9200/_cluster/health], the # Node Info API [http://localhost:9200/_nodes] or GUI tools # such as <http://www.elasticsearch.org/overview/marvel/>, # <http://github.com/karmi/elasticsearch-paramedic>, # <http://github.com/lukas-vlcek/bigdesk> and # <http://mobz.github.com/elasticsearch-head> to inspect the cluster state. # A node can have generic attributes associated with it, which can later be # used for customized shard allocation filtering, or allocation awareness. # An attribute is a simple key value pair, similar to node.key: value, # here is an example: # # node.rack: rack314 # By default, multiple nodes are allowed to start from the same installation # location to disable it, set the following: # node.max_local_storage_nodes: 1 #################################### Index ################################### # You can set a number of options (such as shard/replica options, mapping # or analyzer definitions, translog settings, ...) for indices globally, # in this file. # # Note, that it makes more sense to configure index settings specifically for #a certain index, either when creating it or by using the index templates API. # # See <http://elasticsearch.org/guide/en/elasticsearch/reference/current/ index-modules.html> and # <http://elasticsearch.org/guide/en/elasticsearch/reference/current/ indices-create-index.html> # for more information. # Set the number of shards (splits) of an index (5 by default): # index.number_of_shards: 10 # Set the number of replicas (additional copies) of an index (1 by default): # index.number_of_replicas: 0 #Note, that for development on a local machine, with small indices, it usually # makes sense to "disable" the distributed features: # # index.number_of_shards: 1 # index.number_of_replicas: 0 #These settings directly affect the performance of index and search operations # in your cluster. Assuming you have enough machines to hold shards and # replicas, the rule of thumb is: # # 1. Having more *shards* enhances the _indexing_ performance and allows to # _distribute_ a big index across machines. # 2. Having more *replicas* enhances the _search_ performance and improves the # cluster _availability_. # # The "number_of_shards" is a one-time setting for an index. # # The "number_of_replicas" can be increased or decreased anytime, # by using the Index Update Settings API. # # Elasticsearch takes care about load balancing, relocating, gathering the # results from nodes, etc. Experiment with different settings to fine-tune # your setup. # Use the Index Status API (<http://localhost:9200/A/_status>) to inspect # the index status. #################################### Paths ################################### # Path to directory containing configuration (this file and logging.yml): # # path.conf: /path/to/conf # Path to directory where to store index data allocated for this node. # # path.data: /home/elasticsearch # # Can optionally include more than one location, causing data to be striped # across the locations (a la RAID 0) on a file level, favouring locations # with most free # space on creation. For example: # # path.data: /path/to/data1,/path/to/data2 # Path to temporary files: # # path.work: /path/to/work # Path to log files: # # path.logs: /home/elasticsearch # Path to where plugins are installed: # # path.plugins: /path/to/plugins #################################### Plugin ################################## # If a plugin listed here is not installed for current node, the node will not start. # # plugin.mandatory: mapper-attachments,lang-groovy ################################### Memory ################################### #Elasticsearch performs poorly when JVM starts swapping: you should ensure that # it _never_ swaps. # # Set this property to true to lock the memory: # bootstrap.mlockall: true # Make sure that the ES_MIN_MEM and ES_MAX_MEM environment variables are set # to the same value, and that the machine has enough memory to allocate # for Elasticsearch, leaving enough memory for the operating system itself. # # You should also make sure that the Elasticsearch process is allowed to lock # the memory, eg. by using `ulimit -l unlimited`. ############################## Network And HTTP ############################## # Elasticsearch, by default, binds itself to the 0.0.0.0 address, and listens #on port [9200-9300] for HTTP traffic and on port [9300-9400] for node-to-node # communication. (the range means that if the port is busy, it will automatically # try the next port). # Set the bind address specifically (IPv4 or IPv6): # # network.bind_host: 192.168.0.1 # Set the address other nodes will use to communicate with this node. If not # set, it is automatically derived. It must point to an actual IP address. # # network.publish_host: 192.168.0.1 # Set both 'bind_host' and 'publish_host': # # network.host: 192.168.0.1 # Set a custom port for the node to node communication (9300 by default): # transport.tcp.port: 9900 # Enable compression for all communication between nodes (disabled by default) # # transport.tcp.compress: true # Set a custom port to listen for HTTP traffic: # http.port: 9800 # Set a custom allowed content length: # # http.max_content_length: 100mb # Disable HTTP completely: # # http.enabled: false ################################### Gateway ################################## # The gateway allows for persisting the cluster state between full cluster # restarts. Every change to the state (such as adding an index) will be stored # in the gateway, and when the cluster starts up for the first time, # it will read its state from the gateway. # There are several types of gateway implementations. For more information, see # <http://elasticsearch.org/guide/en/elasticsearch/reference/current/ modules-gateway.html>. # The default gateway type is the "local" gateway (recommended): # # gateway.type: local # Settings below control how and when to start the initial recovery process on # a full cluster restart (to reuse as much local data as possible when using shared # gateway). # Allow recovery process after N nodes in a cluster are up: # # gateway.recover_after_nodes: 1 # Set the timeout to initiate the recovery process, once the N nodes # from previous setting are up (accepts time value): # # gateway.recover_after_time: 5m # Set how many nodes are expected in this cluster. Once these N nodes # are up (and recover_after_nodes is met), begin recovery process immediately # (without waiting for recover_after_time to expire): # # gateway.expected_nodes: 2 ############################# Recovery Throttling ############################ # These settings allow to control the process of shards allocation between # nodes during initial recovery, replica allocation, rebalancing, # or when adding and removing nodes. # Set the number of concurrent recoveries happening on a node: # # 1. During the initial recovery # # cluster.routing.allocation.node_initial_primaries_recoveries: 4 # # 2. During adding/removing nodes, rebalancing, etc # # cluster.routing.allocation.node_concurrent_recoveries: 2 # Set to throttle throughput when recovering (eg. 100mb, by default 20mb): # # indices.recovery.max_bytes_per_sec: 20mb # Set to limit the number of open concurrent streams when # recovering a shard from a peer: # # indices.recovery.concurrent_streams: 5 ################################## Discovery ################################## # Discovery infrastructure ensures nodes can be found within a cluster # and master node is elected. Multicast discovery is the default. # Set to ensure a node sees N other master eligible nodes to be considered # operational within the cluster. Its recommended to set it to a higher value # than 1 when running more than 2 nodes in the cluster. # # discovery.zen.minimum_master_nodes: 1 # Set the time to wait for ping responses from other nodes when discovering. # Set this option to a higher value on a slow or congested network # to minimize discovery failures: # # discovery.zen.ping.timeout: 3s # For more information, see # <http://elasticsearch.org/guide/en/elasticsearch/reference/current/ modules-discovery-zen.html> # Unicast discovery allows to explicitly control which nodes will be used # to discover the cluster. It can be used when multicast is not present, # or to restrict the cluster communication-wise. # # 1. Disable multicast discovery (enabled by default): # # discovery.zen.ping.multicast.enabled: false # # 2. Configure an initial list of master nodes in the cluster # to perform discovery when new nodes (master or data) are started: # # discovery.zen.ping.unicast.hosts: ["host1", "host2:port"] # EC2 discovery allows to use AWS EC2 API in order to perform discovery. # # You have to install the cloud-aws plugin for enabling the EC2 discovery. # # For more information, see # <http://elasticsearch.org/guide/en/elasticsearch/reference/current/ modules-discovery-ec2.html> # # See <http://elasticsearch.org/tutorials/elasticsearch-on-ec2/> # for a step-by-step tutorial. # GCE discovery allows to use Google Compute Engine API in order to perform discovery. # # You have to install the cloud-gce plugin for enabling the GCE discovery. # # For more information, see <https://github.com/elasticsearch/ elasticsearch-cloud-gce>. # Azure discovery allows to use Azure API in order to perform discovery. # # You have to install the cloud-azure plugin for enabling the Azure discovery. # # For more information, see <https://github.com/elasticsearch/ elasticsearch-cloud-azure>. ################################## Slow Log ################################## # Shard level query and fetch threshold logging. #index.search.slowlog.threshold.query.warn: 10s #index.search.slowlog.threshold.query.info: 5s #index.search.slowlog.threshold.query.debug: 2s #index.search.slowlog.threshold.query.trace: 500ms #index.search.slowlog.threshold.fetch.warn: 1s #index.search.slowlog.threshold.fetch.info: 800ms #index.search.slowlog.threshold.fetch.debug: 500ms #index.search.slowlog.threshold.fetch.trace: 200ms #index.indexing.slowlog.threshold.index.warn: 10s #index.indexing.slowlog.threshold.index.info: 5s #index.indexing.slowlog.threshold.index.debug: 2s #index.indexing.slowlog.threshold.index.trace: 500ms ################################## GC Logging ################################ #monitor.jvm.gc.young.warn: 1000ms #monitor.jvm.gc.young.info: 700ms #monitor.jvm.gc.young.debug: 400ms #monitor.jvm.gc.old.warn: 10s #monitor.jvm.gc.old.info: 5s #monitor.jvm.gc.old.debug: 2s index: analysis: analyzer: mmseg: alias: [mmseg_analyzer] type: org.elasticsearch.index.analysis.MMsegAnalyzerProvider tokenizer: mmseg_maxword: type: mmseg seg_type: "max_word" mmseg_complex: type: mmseg seg_type: "complex" mmseg_simple: type: mmseg seg_type: "simple" index.analysis.analyzer.default.type : "mmseg" # optimize index.translog.flush_threshold_period: 60s index.refresh_interval: 30s indices.memory.index_buffer_size: 50% indices.memory.min_index_buffer_size: 300m index.translog.flush_threshold: 30000 index.store.type: mmapfs index.merge.policy.use_compound_file: false thrift.port: 9500
相关推荐
docker run --name elasticsearch7.16.3 -p 127.0.0.1:9200:9200 -p 127.0.0.1:9300:9300 -e "discovery.type=single-node" -v /Users/xingyue/Home/xingyue/学习/工程化/es/elasticsearch.yml:/usr/share/elastic...
elasticsearch.yml 配置文件 ,大自然的搬运工
《Elasticsearch配置详解——基于elasticsearch.yml》 在大数据时代,搜索引擎技术扮演着至关重要的角色,其中Elasticsearch作为一款流行的开源全文搜索引擎,因其高效、灵活和强大的数据分析能力而备受青睐。本文...
首先,对于单节点的 Elasticsearch 部署,我们需要编辑配置文件 `/etc/elasticsearch/elasticsearch.yml`。在该文件中添加以下内容: 1. `xpack.security.enabled: true`:启用安全功能。 2. `xpack.license.self_...
elasticsearch.yml配置中遇到的问题,一次解决,复制及用
elasticsearch logging.yml 配置文件 日志输出
docker run --name elasticsearch7.16.3 -p 127.0.0.1:9200:9200 -p 127.0.0.1:9300:9300 -e "discovery.type=single-node" -v /Users/xingyue/Home/xingyue/学习/工程化/es/elasticsearch.yml:/usr/share/elastic...
为了运行Elasticsearch,你需要修改config/elasticsearch.yml中的配置,比如设置节点名称、集群名称、数据路径等。然后,可以在命令行中运行bin/elasticsearch.bat启动服务。同时,Elasticsearch还支持通过Kibana...
3. 修改Elasticsearch的配置文件 `config/elasticsearch.yml`,如设置集群名、数据存储路径等。 4. 初始化目录权限,确保Elasticsearch可以读写数据目录,例如:`sudo chown -R elasticsearch:elasticsearch /path/...
Java操作Elasticsearch 5.x的Demo详解 在大数据时代,Elasticsearch作为一个高效、可扩展的全文搜索引擎,被广泛应用于日志分析、实时监控、数据挖掘等领域。本篇文章将详细解析如何使用Java API来操作Elastic...
进入Elasticsearch的config目录,找到elasticsearch.yml文件,用文本编辑器打开。 根据您的需求修改elasticsearch.yml文件中的配置,如端口、集群名称、数据存储路径等。 保存并关闭elasticsearch.yml文件。 启动...
docker run --name elasticsearch7.16.3 -p 127.0.0.1:9200:9200 -p 127.0.0.1:9300:9300 -e "discovery.type=single-node" -v /Users/xingyue/Home/xingyue/学习/工程化/es/elasticsearch.yml:/usr/share/elastic...
3. **配置文件**: 修改`elasticsearch.yml`配置文件,设置端口、路径、集群名称等参数。 4. **创建索引**: 使用curl命令或客户端工具发送HTTP请求创建索引。 5. **索引文档**: 将数据插入到索引中,同样通过...
- Elasticsearch的配置文件是`elasticsearch.yml`,位于解压后的目录中。你可以根据需求修改设置,例如,更改集群名称、节点名称、数据存储路径等。 - 配置网络和端口:默认情况下,Elasticsearch监听9200端口对外...
`config`目录下的`elasticsearch.yml`配置文件可以定制Elasticsearch的行为,例如设置数据路径、网络端口等。 7. 插件系统:`plugins`目录包含了一些预安装的插件,这些插件可以扩展Elasticsearch的功能,比如添加...
2. **config目录**:包含了Elasticsearch的主要配置文件,如`elasticsearch.yml`。在这里,你可以设置节点名称、网络绑定地址、集群名称、索引设置等关键参数。 3. **lib目录**:包含了Elasticsearch运行所需的库...
2. config目录:存储Elasticsearch的配置文件,如`elasticsearch.yml`,在这里你可以设置集群名称、网络绑定地址等参数。 3. lib目录:包含了Elasticsearch运行所依赖的各种JAR库文件。 4. plugins目录:默认情况下...