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Logstash配置文件

Logstash配置文件

作者: 8090的大叔 | 来源:发表于2020-06-19 10:23 被阅读0次
    • 示例logstash.yml配置 ,主要用于控制logstash运行时的状态(注释内容留下以便学习)
    # Settings file in YAML
    #
    # Settings can be specified either in hierarchical form, e.g.:
    #
    #   pipeline:
    #     batch:
    #       size: 125
    #       delay: 5
    #
    # Or as flat keys:
    #
    #   pipeline.batch.size: 125
    #   pipeline.batch.delay: 5
    #
    # ------------  Node identity ------------
    #
    # Use a descriptive name for the node:
    #为节点使用描述性名称:
    node.name: logstash-1
    #
    # If omitted the node name will default to the machine's host name
    #为节点使用描述性名称:
    # ------------ Data path ------------------
    #
    # Which directory should be used by logstash and its plugins
    #logstash及其插件应该使用哪个目录
    # for any persistent needs. Defaults to LOGSTASH_HOME/data
    #任何持久的需求。默认为LOGSTASH_HOME/data
    path.data: /home/vagrant/logstash-7.7.1/plugin-data
    #
    # ------------ Pipeline Settings --------------
    #
    # The ID of the pipeline.
    #管道的ID。
    # pipeline.id: main
    #
    # Set the number of workers that will, in parallel, execute the filters+outputs
    #设置并行执行过滤器+输出的worker的数量
    # stage of the pipeline.
    #管道的阶段。
    # This defaults to the number of the host's CPU cores.
    #这是主机CPU内核的默认数量。
    # pipeline.workers: 2
    #
    # How many events to retrieve from inputs before sending to filters+workers
    #在发送到过滤器+工人之前,要从输入中检索多少事件
    # pipeline.batch.size: 125
    #
    # How long to wait in milliseconds while polling for the next event
    #在轮询下一个事件时,需要等待多长时间(毫秒)
    # before dispatching an undersized batch to filters+outputs
    #在分派一个小批量过滤器+输出
    # pipeline.batch.delay: 50
    #
    # Force Logstash to exit during shutdown even if there are still inflight
    #关闭期间强制退出Logstash,即使仍在飞行中
    # events in memory. By default, logstash will refuse to quit until all
    #内存中的事件。默认情况下,logstash将拒绝退出,直到全部退出
    # received events have been pushed to the outputs.
    #已将接收到的事件推入输出。
    # WARNING: enabling this can lead to data loss during shutdown
    #警告:启用此选项可能导致关机期间数据丢失
    # pipeline.unsafe_shutdown: false
    
    # Set the pipeline event ordering. Options are "auto" (the default), "true" or "false".
    #设置管道事件顺序。选项有“auto”(默认)、“true”或“false”。
    # "auto" will  automatically enable ordering if the 'pipeline.workers' setting
    #“auto”将自动启用排序,如果“管道”。工人的设置
    # is also set to '1'.
    #也被设置为“1”。
    # "true" will enforce ordering on the pipeline and prevent logstash from starting
    # "true"将强制对管道进行排序,并阻止logstash启动
    # if there are multiple workers.
    #如果有多个worker。
    # "false" will disable any extra processing necessary for preserving ordering.
    # "false"将禁用任何必要的额外处理,以保持排序。
    pipeline.ordered: auto
    #
    # ------------ Pipeline Configuration Settings --------------
    #                           
    # Where to fetch the pipeline configuration for the main pipeline
    #从哪里获取主管道的管道配置
    # path.config:
    
    # Pipeline configuration string for the main pipeline
    #主管道的管道配置字符串
    # config.string:
    
    # At startup, test if the configuration is valid and exit (dry run)
    #在启动时,测试配置是否有效并退出(演练)
    # config.test_and_exit: false
    
    # Periodically check if the configuration has changed and reload the pipeline
    #定期检查配置是否已更改并重新加载管道
    # This can also be triggered manually through the SIGHUP signal
    #这也可以通过SIGHUP信号手动触发
    config.reload.automatic: true
    #
    # How often to check if the pipeline configuration has changed (in seconds)
    #检查管道配置是否更改的频率(以秒为单位)
    # Note that the unit value (s) is required. Values without a qualifier (e.g. 60) 
    #注意单位值是必需的。没有限定符的值(例如60)
    # are treated as nanoseconds.
    ##被视为纳秒。
    # Setting the interval this way is not recommended and might change in later versions.
    #不建议以这种方式设置间隔,在以后的版本中可能会更改。
    # config.reload.interval: 3s
    #
    # Show fully compiled configuration as debug log message
    #将已编译的配置显示为调试日志消息
    # NOTE: --log.level must be 'debug'
    #注意:——日志。级别必须是“调试”
    # config.debug: false
    #
    # When enabled, process escaped characters such as \n and \" in strings in the
    #属性中的字符串中的\n和\"等转义字符
    # pipeline configuration files.
    #管道配置文件。
    # config.support_escapes: false
    #
    # ------------ Module Settings ---------------
    # Define modules here.  Modules definitions must be defined as an array.
    # The simple way to see this is to prepend each `name` with a `-`, and keep
    # all associated variables under the `name` they are associated with, and
    # above the next, like this:
    #
    # modules:
    #   - name: MODULE_NAME
    #     var.PLUGINTYPE1.PLUGINNAME1.KEY1: VALUE
    #     var.PLUGINTYPE1.PLUGINNAME1.KEY2: VALUE
    #     var.PLUGINTYPE2.PLUGINNAME1.KEY1: VALUE
    #     var.PLUGINTYPE3.PLUGINNAME3.KEY1: VALUE
    #
    # Module variable names must be in the format of
    #
    # var.PLUGIN_TYPE.PLUGIN_NAME.KEY
    #
    # modules:
    #
    # ------------ Cloud Settings ---------------
    # 云设置
    # Define Elastic Cloud settings here.
    # Format of cloud.id is a base64 value e.g. dXMtZWFzdC0xLmF3cy5mb3VuZC5pbyRub3RhcmVhbCRpZGVudGlmaWVy
    # and it may have an label prefix e.g. staging:dXMtZ...
    # This will overwrite 'var.elasticsearch.hosts' and 'var.kibana.host'
    # cloud.id: <identifier>
    #
    # Format of cloud.auth is: <user>:<pass>
    # This is optional
    # If supplied this will overwrite 'var.elasticsearch.username' and 'var.elasticsearch.password'
    # If supplied this will overwrite 'var.kibana.username' and 'var.kibana.password'
    # cloud.auth: elastic:<password>
    #
    # ------------ Queuing Settings --------------
    #
    # Internal queuing model, "memory" for legacy in-memory based queuing and
    #内部排队模型,“内存”为遗留在内存中的排队和
    # "persisted" for disk-based acked queueing. Defaults is memory
    #“持久化”用于基于磁盘的脱机队列。默认值是内存
    # queue.type: memory
    #
    # If using queue.type: persisted, the directory path where the data files will be stored.
    #如果使用队列。类型:persistent,数据文件将存储在其中的目录路径。
    # Default is path.data/queue
    #默认为path.data/queue
    # path.queue:
    #
    # If using queue.type: persisted, the page data files size. The queue data consists of
    #如果使用队列。类型:持久化,页面数据文件大小。队列数据由
    # append-only data files separated into pages. Default is 64mb
    #分隔为页面的仅追加数据文件。默认是64 mb
    # queue.page_capacity: 64mb
    #
    # If using queue.type: persisted, the maximum number of unread events in the queue.
    #如果使用队列。类型:持久化,表示队列中未读事件的最大数量。
    # Default is 0 (unlimited)
    # queue.max_events: 0
    #
    # If using queue.type: persisted, the total capacity of the queue in number of bytes.
    #如果使用队列。类型:持久化,队列的总容量,单位为字节数。
    # If you would like more unacked events to be buffered in Logstash, you can increase the
    #如果你想在Logstash中缓冲更多未被锁定的事件,你可以增加
    # capacity using this setting. Please make sure your disk drive has capacity greater than
    #使用此设置的#容量。请确认您的磁盘驱动器的容量大于
    # the size specified here. If both max_bytes and max_events are specified, Logstash will pick
    #这里指定的大小。如果同时指定了max_bytes和max_events,则Logstash将进行选择
    # whichever criteria is reached first
    #首先达到的标准
    # Default is 1024mb or 1gb
    #默认为1024mb或1gb
    # queue.max_bytes: 1024mb
    #
    # If using queue.type: persisted, the maximum number of acked events before forcing a checkpoint
    #如果使用队列。类型:持久化,强制执行检查点之前已经过处理的最大事件数
    # Default is 1024, 0 for unlimited
    ##默认值是1024,0表示无限
    # queue.checkpoint.acks: 1024
    #
    # If using queue.type: persisted, the maximum number of written events before forcing a checkpoint
    #如果使用队列。类型:持久化,强制执行检查点之前的最大写入事件数
    # Default is 1024, 0 for unlimited
    #默认值是1024,0表示无限
    # queue.checkpoint.writes: 1024
    #
    # If using queue.type: persisted, the interval in milliseconds when a checkpoint is forced on the head page
    #如果使用队列。类型:持久化,即在首页强制执行检查点时的毫秒间隔
    # Default is 1000, 0 for no periodic checkpoint.
    #默认为1000,0表示没有定期检查点。
    # queue.checkpoint.interval: 1000
    #
    # ------------ Dead-Letter Queue Settings --------------
    # Flag to turn on dead-letter queue.
    #打开死信队列的#标志。
    # dead_letter_queue.enable: false
    
    # If using dead_letter_queue.enable: true, the maximum size of each dead letter queue. Entries
    #如果使用dead_letter_queue。启用:true,每个死信队列的最大大小。条目
    # will be dropped if they would increase the size of the dead letter queue beyond this setting.
    #如果将死信队列的大小增加到超过此设置,则#将被删除。
    # Default is 1024mb
    # dead_letter_queue.max_bytes: 1024mb
    
    # If using dead_letter_queue.enable: true, the directory path where the data files will be stored.
    #如果使用dead_letter_queue。enable: true,数据文件存储的目录路径。
    # Default is path.data/dead_letter_queue
    #
    # path.dead_letter_queue:
    #
    # ------------ Metrics Settings --------------
    #
    # Bind address for the metrics REST endpoint
    #指标REST端点的绑定地址
    http.host: 127.0.0.1
    #
    # Bind port for the metrics REST endpoint, this option also accept a range
    #为指标REST端点绑定端口,此选项也接受范围
    # (9600-9700) and logstash will pick up the first available ports.
    #(9600-9700)和logstash将获得第一批可用端口。
    http.port: 9600-9700
    #
    # ------------ Debugging Settings --------------
    #
    # Options for log.level:
    #   * fatal
    #   * error
    #   * warn
    #   * info (default)
    #   * debug
    #   * trace
    #
    # log.level: info
    # path.logs:
    #
    # ------------ Other Settings --------------
    #
    # Where to find custom plugins
    # path.plugins: []
    #
    # Flag to output log lines of each pipeline in its separate log file. Each log filename contains the pipeline.name
    # Default is false
    # pipeline.separate_logs: false
    #
    # ------------ X-Pack Settings (not applicable for OSS build)--------------
    #
    # X-Pack Monitoring
    # https://www.elastic.co/guide/en/logstash/current/monitoring-logstash.html
    #xpack.monitoring.enabled: false
    #xpack.monitoring.elasticsearch.username: logstash_system
    #xpack.monitoring.elasticsearch.password: password
    #xpack.monitoring.elasticsearch.hosts: ["https://es1:9200", "https://es2:9200"]
    # an alternative to hosts + username/password settings is to use cloud_id/cloud_auth
    #xpack.monitoring.elasticsearch.cloud_id: monitoring_cluster_id:xxxxxxxxxx
    #xpack.monitoring.elasticsearch.cloud_auth: logstash_system:password
    #xpack.monitoring.elasticsearch.ssl.certificate_authority: [ "/path/to/ca.crt" ]
    #xpack.monitoring.elasticsearch.ssl.truststore.path: path/to/file
    #xpack.monitoring.elasticsearch.ssl.truststore.password: password
    #xpack.monitoring.elasticsearch.ssl.keystore.path: /path/to/file
    #xpack.monitoring.elasticsearch.ssl.keystore.password: password
    #xpack.monitoring.elasticsearch.ssl.verification_mode: certificate
    #xpack.monitoring.elasticsearch.sniffing: false
    #xpack.monitoring.collection.interval: 10s
    #xpack.monitoring.collection.pipeline.details.enabled: true
    #
    # X-Pack Management
    # https://www.elastic.co/guide/en/logstash/current/logstash-centralized-pipeline-management.html
    #xpack.management.enabled: false
    #xpack.management.pipeline.id: ["main", "apache_logs"]
    #xpack.management.elasticsearch.username: logstash_admin_user
    #xpack.management.elasticsearch.password: password
    #xpack.management.elasticsearch.hosts: ["https://es1:9200", "https://es2:9200"]
    # an alternative to hosts + username/password settings is to use cloud_id/cloud_auth
    #xpack.management.elasticsearch.cloud_id: management_cluster_id:xxxxxxxxxx
    #xpack.management.elasticsearch.cloud_auth: logstash_admin_user:password
    #xpack.management.elasticsearch.ssl.certificate_authority: [ "/path/to/ca.crt" ]
    #xpack.management.elasticsearch.ssl.truststore.path: /path/to/file
    #xpack.management.elasticsearch.ssl.truststore.password: password
    #xpack.management.elasticsearch.ssl.keystore.path: /path/to/file
    #xpack.management.elasticsearch.ssl.keystore.password: password
    #xpack.management.elasticsearch.ssl.verification_mode: certificate
    #xpack.management.elasticsearch.sniffing: false
    #xpack.management.logstash.poll_interval: 5s
    
    

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