一、 Elastic Stack
Elastic Stack是ELK的官方称呼，网址：https://www.elastic.co/cn/products ，其作用是“构建在开源基础之上, Elastic Stack 让您能够安全可靠地获取任何来源、任何格式的数据，并且能够实时地对数据进行搜索、分析和可视化。”
它主要包括三个元件：
- Beats + Logstash：采集任何格式，任何来源的数据。
Beats: Beats 是轻量型采集器的平台，从边缘机器向 Logstash 和 Elasticsearch 发送数据。
Beats 是数据采集的得力工具。将这些采集器安装在您的服务器中，它们就会把数据汇总到 Elasticsearch。如果需要更加强大的处理性能，Beats 还能将数据输送到 Logstash进行转换和解析。官方提供了多种现成的beats以针对不同协议的数据：
Filebeat：日志文件
Metricbeat：指标
Packagebeat: 网络数据
Winlogbeat： windows时间日志
Auditbeat: 审计日志
Heartbeat: 心跳日志
beat实现可定制化：每款开源采集器都是以用于转发数据的通用库 libbeat 为基石。需要监控某个专用协议？您可以自己构建采集器。我们将为您提供所需的构建基块。
Logstash: Logstash 是动态数据收集管道，拥有可扩展的插件生态系统，能够与 Elasticsearch 产生强大的协同作用。
Logstash 是开源的服务器端数据处理管道，能够同时 从多个来源采集数据、转换数据，然后将数据发送到您最喜欢的 “存储库” 中。（我们的存储库当然是Elasticsearch。）
多种输入选择：数据往往以各种各样的形式，或分散或集中地存在于很多系统中。Logstash 支持各种输入选择 ，可以在同一时间从众多常用来源捕捉事件。能够以连续的流式传输方式，轻松地从您的日志、指标、Web 应用、数据存储以及各种 AWS 服务采集数据。
输出：尽管 Elasticsearch 是我们的首选输出方向，能够为我们的搜索和分析带来无限可能，但它并非唯一选择。Logstash 提供众多输出选择，您可以将数据发送到您要指定的地方，并且能够灵活地解锁众多下游用例。
过滤器：数据从源传输到存储库的过程中，Logstash 过滤器能够解析各个事件，识别已命名的字段以构建结构，并将它们转换成通用格式，以便更轻松、更快速地分析和实现商业价值。
可扩展：Logstash 采用可插拔框架，拥有 200 多个插件。您可以将不同的输入选择、过滤器和输出选择混合搭配、精心安排，让它们在管道中和谐地运行。您是从自定义应用程序采集数据？没有看到所需的插件？Logstash 插件很容易构建。我们有一个极好的插件开发 API 和插件生成器，可帮助您开始和分享您的创作。
- Elasticsearch
Elasticsearch 是一个分布式的 RESTful 风格的搜索和数据分析引擎，能够解决不断涌现出的各种用例。作为 Elastic Stack 的核心，它集中存储您的数据，帮助您发现意料之中以及意料之外的情况。
可扩展性:原型环境和生产环境可无缝切换；无论 Elasticsearch 是在一个节点上运行，还是在一个包含 300 节点的集群上运行，您都能够以相同的方式与 Elasticsearch 进行通信。
速度：而且由于每个数据都被编入了索引，因此您再也不用因为某些数据没有索引而烦心。您可以用快到令人发指的速度使用和访问您的所有数据。
- Kibana
Kibana 能够以图表的形式呈现数据，并且具有可扩展的用户界面，供您全方位配置和管理 Elastic Stack。
可视化与探索：Kibana 让您能够自由地选择如何呈现您的数据。或许您一开始并不知道自己想要什么。不过借助 Kibana 的交互式可视化，您可以先从一个问题出发，看看能够从中发现些什么。
多配件：Kibana 核心搭载了一批经典功能：柱状图、线状图、饼图、环形图，等等。它们充分利用了 Elasticsearch 的聚合功能。
二、部署准备
- 部署规划
机器两台：10.1.4.54，10.1.4.55 centos7
部署方案：
10.1.4.54：kibana，elasticsearch，logstash，filebeat
10.1.4.55：elasticsearch，logstash，filebeat
包准备：https://www.elastic.co/cn/products 下载所有相关包
安装环境：jdk1.7+，这里是1.8
三、记录安装步骤
- elasticsearch
在10.1.4.54上安装elasticsearch，新建用户elk，并上传包
sts-MacBook-Pro:Downloads garfield$ scp elasticsearch-6.3.2.tar [email protected]:/home/elk
解压
tar -xvf elasticsearch-6.3.2.tar
修改配置文件：
vi config/elasticsearch.yml
配置文件修改：
# ======================== Elasticsearch Configuration ========================= # # NOTE: Elasticsearch comes with reasonable defaults for most settings. # Before you set out to tweak and tune the configuration, make sure you # understand what are you trying to accomplish and the consequences. # # The primary way of configuring a node is via this file. This template lists # the most important settings you may want to configure for a production cluster. # # Please consult the documentation for further information on configuration options: # https://www.elastic.co/guide/en/elasticsearch/reference/index.html # # ---------------------------------- Cluster ----------------------------------- # # Use a descriptive name for your cluster: # cluster.name: my-application # # ------------------------------------ Node ------------------------------------ # # Use a descriptive name for the node: # node.name: node-1 # # Add custom attributes to the node: # #node.attr.rack: r1 # # ----------------------------------- Paths ------------------------------------ # # Path to directory where to store the data (separate multiple locations by comma): # path.data: /home/elk/elasticsearch-6.3.2/data # # Path to log files: # path.logs: /home/elk/elasticsearch-6.3.2/logs # # ----------------------------------- Memory ----------------------------------- # # Lock the memory on startup: # bootstrap.memory_lock: true # # Make sure that the heap size is set to about half the memory available # on the system and that the owner of the process is allowed to use this # limit. # # Elasticsearch performs poorly when the system is swapping the memory. # # ---------------------------------- Network ----------------------------------- # # Set the bind address to a specific IP (IPv4 or IPv6): # network.host: 10.1.4.54 # # Set a custom port for HTTP: # http.port: 9200 # # For more information, consult the network module documentation. # # --------------------------------- Discovery ---------------------------------- # # 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]"] # 这个配置为master广播配置，节点默认为master discovery.zen.ping.unicast.hosts: ["10.1.4.54"] # # Prevent the "split brain" by configuring the majority of nodes (total number of master-eligible nodes / 2 + 1): # 建议配置为 n/2 + 1 discovery.zen.minimum_master_nodes: 1 # # For more information, consult the zen discovery module documentation. # # ---------------------------------- Gateway ----------------------------------- # # Block initial recovery after a full cluster restart until N nodes are started: # #gateway.recover_after_nodes: 3 # # For more information, consult the gateway module documentation. # # ---------------------------------- Various ----------------------------------- # # Require explicit names when deleting indices: # #action.destructive_requires_name: true
bin目录下启动：
./elasticsearch -d
检测9200端口发现未启动成功，查看日志发现：
[2018-08-07T14:38:00,757][ERROR][o.e.b.Bootstrap ] [node-1] node validation exception [3] bootstrap checks failed [1]: max file descriptors [4096] for elasticsearch process is too low, increase to at least [65536] [2]: memory locking requested for elasticsearch process but memory is not locked [3]: max virtual memory areas vm.max_map_count [65530] is too low, increase to at least [262144] [2018-08-07T14:38:00,759][INFO ][o.e.n.Node ] [node-1] stopping ... [2018-08-07T14:38:00,795][INFO ][o.e.n.Node ] [node-1] stopped [2018-08-07T14:38:00,796][INFO ][o.e.n.Node ] [node-1] closing ... [2018-08-07T14:38:00,848][INFO ][o.e.n.Node ] [node-1] closed [2018-08-07T14:38:00,850][INFO ][o.e.x.m.j.p.NativeController] Native controller process has stopped - no new native processes can be started
root权限下提升一下这两个配置：
vi /etc/security/limits.conf
修改配置：
# End of file * soft nofile 65536 * hard nofile 131072 * soft memlock unlimited * hard memlock unlimited * hard nproc 4096 * soft nproc 4096
重新登录后生效
再修改另一个配置：
vi /etc/sysctl.conf
修改配置：
vm.max_map_count=262144
vm.swappiness=1
再次启动，访问
http://10.1.4.54:9200
得：
{ "name" : "node-1", "cluster_name" : "my-application", "cluster_uuid" : "hIYg-sDBToa0D4C9lzD-cQ", "version" : { "number" : "6.3.2", "build_flavor" : "default", "build_type" : "tar", "build_hash" : "053779d", "build_date" : "2018-07-20T05:20:23.451332Z", "build_snapshot" : false, "lucene_version" : "7.3.1", "minimum_wire_compatibility_version" : "5.6.0", "minimum_index_compatibility_version" : "5.0.0" }, "tagline" : "You Know, for Search" }
接着在10.1.4.55上进行同样的操作（配置文件只需节点名与ip不同即可）
elasticsearch集群搭建完毕，附常用命令地址：
查询所有数据：curl http://10.1.4.54:9200/_search?pretty 集群健康状态：curl -XGET http://10.1.4.54:9200/_cluster/health?pretty 删除所有数据：curl -X DELETE 'http://10.1.4.54:9200/_all' 删除指定索引：curl -X DELETE 'http://10.1.4.54:9200/索引名称'
- logstash
解压包：
tar -xvf logstash-6.3.2.tar
在config目录下新建配置文件stash.conf,这个配置文件用以启动时说明，logstash所收集日志的来源，内容和输出方向，分别对应input，fileter和output，下面是网上找的一个例子配置，我在后面加以理解的注释，后面再贴上我自己的例子
input { beats { port => 5044 #端口注入，来源于beat } } filter { if [type] == "app_test" { #测试日志类型 grok { match => { "message" => "((?%{YEAR}-%{MONTHNUM}-%{MONTHDAY} %{HOUR}:?%{MINUTE}(?::?%{SECOND})) %{WORD:level} (? \[(?:[a-zA-Z0-9-])+\]\[(?:[a-zA-Z0-9-\.])+:%{NUMBER}\]) - )?(? .+)" } #匹配模式 } mutate {remove_field => [ "@timestamp", "@version", "message" ] } #字段变更 } else if [type] == "mysql_test" { #mysql日志 grok { match => { "message" => "((? %{YEAR}-%{MONTHNUM}-%{MONTHDAY} %{HOUR}:?%{MINUTE}(?::?%{SECOND})) %{WORD:level} (? \[(?:[a-zA-Z0-9-])+\]\[(?:[a-zA-Z0-9-\.])+:%{NUMBER}\]) - )?(? .+)" } #解析规则直接写在配置文件中 } mutate {remove_field => [ "@version", "message" ] } } else if [type] == "nginx_access_test" { grok { match => { "message" => "MAINNGINXLOG %{COMBINEDAPACHELOG} %{QS:x_forwarded_for}" }
#MAINNGINXLOG规则写在目录$logstash/vendor/bundle/jruby/1.9/gems/logstash-patterns-core-4.0.0/patterns/中 } } date { match => ["logdate", "yyyy-MM-dd HH:mm:ss.SSS"] } if "_grokparsefailure" in [tags] { } else { mutate {remove_field => [ "logdate", "@version", "message" ] } } if !([level]) { mutate { add_field => { "level" => "other" } } } } output { if "_grokparsefailure" in [tags] { #过滤器解析失败时，日志写入该目录 file { path => "/var/log/logstash/grokparsefailure-%{type}-%{+YYYY.MM.dd}.log" } } elasticsearch { #elasticsearch目标地址 hosts => ["10.1.4.54:9200"] index => "test_%{type}-%{+YYYY.MM.dd}" document_type => "%{type}" template_overwrite => true } }
三个模块内容，输入，输出和过滤器，过滤器配置了nginx，mysql，以及测试应用日志，我自己测试的只有nginx的错误日志，配置如下：
input { beats { port => 5044 } } filter { if [type] == "nginx-error" { grok { match => [ "message", "(?
启动logstash
nohup ./bin/logstash -f config/stash.conf &
- Kibana
解压包
tar -xvf kibana-6.3.2-linux-x86_64.tar
由于我的kibana和elasticsearch 的master节点在同一台机器上，方便起见，全部保持默认配置，直接启动，包括服务端口，节点，还有elasticsearch.url配置：
# Kibana is served by a back end server. This setting specifies the port to use. #server.port: 5601 # Specifies the address to which the Kibana server will bind. IP addresses and host names are both valid values. # The default is 'localhost', which usually means remote machines will not be able to connect. # To allow connections from remote users, set this parameter to a non-loopback address. #server.host: "localhost" # Enables you to specify a path to mount Kibana at if you are running behind a proxy. # Use the `server.rewriteBasePath` setting to tell Kibana if it should remove the basePath # from requests it receives, and to prevent a deprecation warning at startup. # This setting cannot end in a slash. #server.basePath: "" # Specifies whether Kibana should rewrite requests that are prefixed with # `server.basePath` or require that they are rewritten by your reverse proxy. # This setting was effectively always `false` before Kibana 6.3 and will # default to `true` starting in Kibana 7.0. #server.rewriteBasePath: false # The maximum payload size in bytes for incoming server requests. #server.maxPayloadBytes: 1048576 # The Kibana server's name. This is used for display purposes. #server.name: "your-hostname" # The URL of the Elasticsearch instance to use for all your queries. #elasticsearch.url: "http://localhost:9200" # When this setting's value is true Kibana uses the hostname specified in the server.host # setting. When the value of this setting is false, Kibana uses the hostname of the host # that connects to this Kibana instance. #elasticsearch.preserveHost: true # Kibana uses an index in Elasticsearch to store saved searches, visualizations and # dashboards. Kibana creates a new index if the index doesn't already exist. #kibana.index: ".kibana" # The default application to load. #kibana.defaultAppId: "home" # If your Elasticsearch is protected with basic authentication, these settings provide # the username and password that the Kibana server uses to perform maintenance on the Kibana # index at startup. Your Kibana users still need to authenticate with Elasticsearch, which # is proxied through the Kibana server. #elasticsearch.username: "user" #elasticsearch.password: "pass" # Enables SSL and paths to the PEM-format SSL certificate and SSL key files, respectively. # These settings enable SSL for outgoing requests from the Kibana server to the browser. #server.ssl.enabled: false #server.ssl.certificate: /path/to/your/server.crt #server.ssl.key: /path/to/your/server.key # Optional settings that provide the paths to the PEM-format SSL certificate and key files. # These files validate that your Elasticsearch backend uses the same key files. #elasticsearch.ssl.certificate: /path/to/your/client.crt #elasticsearch.ssl.key: /path/to/your/client.key # Optional setting that enables you to specify a path to the PEM file for the certificate # authority for your Elasticsearch instance. #elasticsearch.ssl.certificateAuthorities: [ "/path/to/your/CA.pem" ] # To disregard the validity of SSL certificates, change this setting's value to 'none'. #elasticsearch.ssl.verificationMode: full # Time in milliseconds to wait for Elasticsearch to respond to pings. Defaults to the value of # the elasticsearch.requestTimeout setting. #elasticsearch.pingTimeout: 1500 # Time in milliseconds to wait for responses from the back end or Elasticsearch. This value # must be a positive integer. #elasticsearch.requestTimeout: 30000 # List of Kibana client-side headers to send to Elasticsearch. To send *no* client-side # headers, set this value to [] (an empty list). #elasticsearch.requestHeadersWhitelist: [ authorization ] # Header names and values that are sent to Elasticsearch. Any custom headers cannot be overwritten # by client-side headers, regardless of the elasticsearch.requestHeadersWhitelist configuration. #elasticsearch.customHeaders: {} # Time in milliseconds for Elasticsearch to wait for responses from shards. Set to 0 to disable. #elasticsearch.shardTimeout: 30000 # Time in milliseconds to wait for Elasticsearch at Kibana startup before retrying. #elasticsearch.startupTimeout: 5000 # Logs queries sent to Elasticsearch. Requires logging.verbose set to true. #elasticsearch.logQueries: false # Specifies the path where Kibana creates the process ID file. #pid.file: /var/run/kibana.pid # Enables you specify a file where Kibana stores log output. #logging.dest: stdout # Set the value of this setting to true to suppress all logging output. #logging.silent: false # Set the value of this setting to true to suppress all logging output other than error messages. #logging.quiet: false # Set the value of this setting to true to log all events, including system usage information # and all requests. #logging.verbose: false # Set the interval in milliseconds to sample system and process performance # metrics. Minimum is 100ms. Defaults to 5000. #ops.interval: 5000 # The default locale. This locale can be used in certain circumstances to substitute any missing # translations. #i18n.defaultLocale: "en"
启动
nohup ./bin/kibana &
额，启动失败：
{"type":"log","@timestamp":"2018-08-15T08:33:23Z","tags":["warning","elasticsearch","admin"],"pid":28642,"message":"No living connections"}
{"type":"log","@timestamp":"2018-08-15T08:33:25Z","tags":["warning","elasticsearch","admin"],"pid":28642,"message":"Unable to revive connection: http://localhost:9200/"}
{"type":"log","@timestamp":"2018-08-15T08:33:25Z","tags":["warning","elasticsearch","admin"],"pid":28642,"message":"No living connections"}
{"type":"log","@timestamp":"2018-08-15T08:33:27Z","tags":["warning","elasticsearch","data"],"pid":28642,"message":"Unable to revive connection: http://localhost:9200/"}
连不上这个地址，可能localhost识别有问题，我们重新修改一下配置,改一下服务ip和elasticsearch地址：
# Specifies the address to which the Kibana server will bind. IP addresses and host names are both valid values. # The default is 'localhost', which usually means remote machines will not be able to connect. # To allow connections from remote users, set this parameter to a non-loopback address. server.host: "10.1.4.54" # Enables you to specify a path to mount Kibana at if you are running behind a proxy. # Use the `server.rewriteBasePath` setting to tell Kibana if it should remove the basePath # from requests it receives, and to prevent a deprecation warning at startup. # This setting cannot end in a slash. #server.basePath: "" # Specifies whether Kibana should rewrite requests that are prefixed with # `server.basePath` or require that they are rewritten by your reverse proxy. # This setting was effectively always `false` before Kibana 6.3 and will # default to `true` starting in Kibana 7.0. #server.rewriteBasePath: false # The maximum payload size in bytes for incoming server requests. #server.maxPayloadBytes: 1048576 # The Kibana server's name. This is used for display purposes. #server.name: "your-hostname" # The URL of the Elasticsearch instance to use for all your queries. elasticsearch.url: "http://10.1.4.54:9200"
再次启动并验证：http://10.1.4.54:5601
- filebeat
解压：
[elk@localhost ~]$ tar -xvf filebeat-6.3.2-linux-x86_64.tar
更改配置filebeat.yml，与logstash类似，filebeat也是可以对日志做一些简单配置和过滤的，如下说明：
#filebeat# filebeat.prospectors: #nginx - input_type: log enable: yes #tags: nginx-error paths: - /home/elk/filebeat-6.3.2-linux-x86_64/nginx/error/error*.log #paths指定要监控的日志 document_type: nginx-error # i设定Elasticsearch输出时的document的type字段也可以用来给日志进行分类。Default: log exclude_lines: ["^$"] # 在输入中排除符合正则表达式列表的那些行 fields: # 向输出的每一条日志添加额外的信息比如“level:debug”方便后续对日志进行分组统计。默认情况下会在输出信息的fields子目录下以指定的新增fields建立子目录例如fields.level。 type: "nginx-error" fields_under_root: true # 如果该选项设置为true则新增fields成为顶级目录而不是将其放在fields目录下。自定义的field会覆盖filebeat默认的field output.logstash: hosts: ["10.1.4.54:5044"] #index: filebeat # 输出数据到指定index default is "filebeat" 可以使用变量[filebeat-]YYYY.MM.DD keys.
启动：
nohup ./filebeat &
操作kibana：打开页面，在页面中Management中添加Index Pattern，
输入index pattern，这个名字与logstash中配置的index相同或包括，这样就得到了一个样例，之后，把准备的nginx错误日志放入相应目录，也就是filebeat配置的目录中：
[elk@test error]$ ls
error11.log error13.log error1.log error2.log error5.log error6.log error7.log error.log
尴尬的是，我的kibana，discover中并没有显示出日志，还是很空白，查看了logstash和elasticsearch日志后发现，报错了：
[2018-08-24T13:55:34,727][DEBUG][o.e.a.b.TransportShardBulkAction] [logstash-nginx-2018.08.24][4] failed to execute bulk item (index) BulkShardRequest [[logstash-nginx-2018.08.24][4]] containing [17] requests org.elasticsearch.index.mapper.MapperParsingException: failed to parse [host] at org.elasticsearch.index.mapper.FieldMapper.parse(FieldMapper.java:302) ~[elasticsearch-6.3.2.jar:6.3.2] at org.elasticsearch.index.mapper.DocumentParser.parseObjectOrField(DocumentParser.java:481) ~[elasticsearch-6.3.2.jar:6.3.2] at org.elasticsearch.index.mapper.DocumentParser.parseObject(DocumentParser.java:496) ~[elasticsearch-6.3.2.jar:6.3.2] at org.elasticsearch.index.mapper.DocumentParser.innerParseObject(DocumentParser.java:390) ~[elasticsearch-6.3.2.jar:6.3.2] at org.elasticsearch.index.mapper.DocumentParser.parseObjectOrNested(DocumentParser.java:380) ~[elasticsearch-6.3.2.jar:6.3.2] at org.elasticsearch.index.mapper.DocumentParser.internalParseDocument(DocumentParser.java:95) ~[elasticsearch-6.3.2.jar:6.3.2] at org.elasticsearch.index.mapper.DocumentParser.parseDocument(DocumentParser.java:69) ~[elasticsearch-6.3.2.jar:6.3.2] at org.elasticsearch.index.mapper.DocumentMapper.parse(DocumentMapper.java:261) ~[elasticsearch-6.3.2.jar:6.3.2] at org.elasticsearch.index.shard.IndexShard.prepareIndex(IndexShard.java:708) ~[elasticsearch-6.3.2.jar:6.3.2] at org.elasticsearch.index.shard.IndexShard.applyIndexOperation(IndexShard.java:685) ~[elasticsearch-6.3.2.jar:6.3.2] at org.elasticsearch.index.shard.IndexShard.applyIndexOperationOnPrimary(IndexShard.java:666) ~[elasticsearch-6.3.2.jar:6.3.2] at org.elasticsearch.action.bulk.TransportShardBulkAction.lambda$executeIndexRequestOnPrimary$2(TransportShardBulkAction.java:553) ~[elasticsearch-6.3.2.jar:6.3.2] at org.elasticsearch.action.bulk.TransportShardBulkAction.executeOnPrimaryWhileHandlingMappingUpdates(TransportShardBulkAction.java:572) ~[elasticsearch-6.3.2.jar:6.3.2] at org.elasticsearch.action.bulk.TransportShardBulkAction.executeIndexRequestOnPrimary(TransportShardBulkAction.java:551) ~[elasticsearch-6.3.2.jar:6.3.2] at org.elasticsearch.action.bulk.TransportShardBulkAction.executeIndexRequest(TransportShardBulkAction.java:142) [elasticsearch-6.3.2.jar:6.3.2] at org.elasticsearch.action.bulk.TransportShardBulkAction.executeBulkItemRequest(TransportShardBulkAction.java:248) [elasticsearch-6.3.2.jar:6.3.2] at org.elasticsearch.action.bulk.TransportShardBulkAction.performOnPrimary(TransportShardBulkAction.java:125) [elasticsearch-6.3.2.jar:6.3.2] at org.elasticsearch.action.bulk.TransportShardBulkAction.shardOperationOnPrimary(TransportShardBulkAction.java:112) [elasticsearch-6.3.2.jar:6.3.2] at org.elasticsearch.action.bulk.TransportShardBulkAction.shardOperationOnPrimary(TransportShardBulkAction.java:74) [elasticsearch-6.3.2.jar:6.3.2] at org.elasticsearch.action.support.replication.TransportReplicationAction$PrimaryShardReference.perform(TransportReplicationAction.java:1018) [elasticsearch-6.3.2.jar:6.3.2] at org.elasticsearch.action.support.replication.TransportReplicationAction$PrimaryShardReference.perform(TransportReplicationAction.java:996) [elasticsearch-6.3.2.jar:6.3.2] at org.elasticsearch.action.support.replication.ReplicationOperation.execute(ReplicationOperation.java:103) [elasticsearch-6.3.2.jar:6.3.2] at org.elasticsearch.action.support.replication.TransportReplicationAction$AsyncPrimaryAction.onResponse(TransportReplicationAction.java:357) [elasticsearch-6.3.2.jar:6.3.2] at org.elasticsearch.action.support.replication.TransportReplicationAction$AsyncPrimaryAction.onResponse(TransportReplicationAction.java:297) [elasticsearch-6.3.2.jar:6.3.2] at org.elasticsearch.action.support.replication.TransportReplicationAction$1.onResponse(TransportReplicationAction.java:959) [elasticsearch-6.3.2.jar:6.3.2] at org.elasticsearch.action.support.replication.TransportReplicationAction$1.onResponse(TransportReplicationAction.java:956) [elasticsearch-6.3.2.jar:6.3.2] at org.elasticsearch.index.shard.IndexShardOperationPermits.acquire(IndexShardOperationPermits.java:270) [elasticsearch-6.3.2.jar:6.3.2] at org.elasticsearch.index.shard.IndexShardOperationPermits.acquire(IndexShardOperationPermits.java:237) [elasticsearch-6.3.2.jar:6.3.2] at org.elasticsearch.index.shard.IndexShard.acquirePrimaryOperationPermit(IndexShard.java:2221) [elasticsearch-6.3.2.jar:6.3.2] at org.elasticsearch.action.support.replication.TransportReplicationAction.acquirePrimaryShardReference(TransportReplicationAction.java:968) [elasticsearch-6.3.2.jar:6.3.2] at org.elasticsearch.action.support.replication.TransportReplicationAction.access$500(TransportReplicationAction.java:98) [elasticsearch-6.3.2.jar:6.3.2] at org.elasticsearch.action.support.replication.TransportReplicationAction$AsyncPrimaryAction.doRun(TransportReplicationAction.java:318) [elasticsearch-6.3.2.jar:6.3.2] at org.elasticsearch.common.util.concurrent.AbstractRunnable.run(AbstractRunnable.java:37) [elasticsearch-6.3.2.jar:6.3.2] at org.elasticsearch.action.support.replication.TransportReplicationAction$PrimaryOperationTransportHandler.messageReceived(TransportReplicationAction.java:293) [elasticsearch-6.3.2.jar:6.3.2] at org.elasticsearch.action.support.replication.TransportReplicationAction$PrimaryOperationTransportHandler.messageReceived(TransportReplicationAction.java:280) [elasticsearch-6.3.2.jar:6.3.2] at org.elasticsearch.xpack.security.transport.SecurityServerTransportInterceptor$ProfileSecuredRequestHandler$1.doRun(SecurityServerTransportInterceptor.java:259) [x-pack-security-6.3.2.jar:6.3.2] at org.elasticsearch.common.util.concurrent.AbstractRunnable.run(AbstractRunnable.java:37) [elasticsearch-6.3.2.jar:6.3.2] at org.elasticsearch.xpack.security.transport.SecurityServerTransportInterceptor$ProfileSecuredRequestHandler.messageReceived(SecurityServerTransportInterceptor.java:317) [x-pack-security-6.3.2.jar:6.3.2] at org.elasticsearch.transport.RequestHandlerRegistry.processMessageReceived(RequestHandlerRegistry.java:66) [elasticsearch-6.3.2.jar:6.3.2] at org.elasticsearch.transport.TransportService$7.doRun(TransportService.java:664) [elasticsearch-6.3.2.jar:6.3.2] at org.elasticsearch.common.util.concurrent.ThreadContext$ContextPreservingAbstractRunnable.doRun(ThreadContext.java:725) [elasticsearch-6.3.2.jar:6.3.2] at org.elasticsearch.common.util.concurrent.AbstractRunnable.run(AbstractRunnable.java:37) [elasticsearch-6.3.2.jar:6.3.2] at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) [?:1.8.0_102] at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) [?:1.8.0_102] at java.lang.Thread.run(Thread.java:745) [?:1.8.0_102] Caused by: java.lang.IllegalStateException: Can't get text on a START_OBJECT at 1:205 at org.elasticsearch.common.xcontent.json.JsonXContentParser.text(JsonXContentParser.java:86) ~[elasticsearch-x-content-6.3.2.jar:6.3.2] at org.elasticsearch.common.xcontent.support.AbstractXContentParser.textOrNull(AbstractXContentParser.java:269) ~[elasticsearch-x-content-6.3.2.jar:6.3.2] at org.elasticsearch.index.mapper.TextFieldMapper.parseCreateField(TextFieldMapper.java:564) ~[elasticsearch-6.3.2.jar:6.3.2] at org.elasticsearch.index.mapper.FieldMapper.parse(FieldMapper.java:297) ~[elasticsearch-6.3.2.jar:6.3.2] ... 44 more [2018-08-24T13:55:34,718][DEBUG][o.e.a.b.TransportShardBulkAction] [logstash-nginx-2018.08.24][4] failed to execute bulk item (index) BulkShardRequest [[logstash-nginx-2018.08.24][4]] containing [34] requests org.elasticsearch.index.mapper.MapperParsingException: failed to parse [host]
可以看出，是有一个host字段解析不明白,这个问题死活搞不定，经过更改解析正则，更改日志一顿折腾之后，日志中终于打印出了应有的东西：
[2018-08-24T14:42:54,642][DEBUG][o.e.a.b.TransportShardBulkAction] [logstash-nginx-2018.08.24][3] failed to execute bulk item (index) BulkShardRequest [[logstash-nginx-2018.08.24][3]] containing [index {[logstash-nginx-2018.08.24][doc][2XeramUBZh4nWTGM5PIx], source[{"@version":"1","message":"2018/08/20 12:05:35 [error] 14965#0: *8117 connect() failed (111: Connection refused) while connecting to upstream, client: 111.207.251.32, server: localhost, request: \"POST /dc/v1/token/updateToken HTTP/1.1\", upstream: \"http://10.1.0.170:7077/dc/v1/token/updateToken\"","err_message":"14965#0: *8117 connect() failed (111: Connection refused) while connecting to upstream, client: 111.207.251.32, server: localhost, request: \"POST /dc/v1/token/updateToken HTTP/1.1\", upstream: \"http://10.1.0.170:7077/dc/v1/token/updateToken\"","@timestamp":"2018-08-24T06:42:52.521Z","offset":0,"logdate":"2018-08-20T04:05:35.000Z","logdateunix":1534737935,"type":"nginx-error","err_severity":"error","beat":{"hostname":"test","version":"6.3.2","name":"test"},"source":"/home/elk/filebeat-6.3.2-linux-x86_64/nginx/error/error119.log","tags":["beats_input_codec_plain_applied"],"time":"2018/08/20 12:05:35","host":{"name":"test"}}]}]
org.elasticsearch.index.mapper.MapperParsingException: failed to parse [host]
at org.elasticsearch.index.mapper.FieldMapper.parse(FieldMapper.java:302) ~[elasticsearch-6.3.2.jar:6.3.2]
东西内容都没有问题，但是最后有一个字段叫host，name为test，查询了一下，主机名刚好为test，说明原有的解析并不适用，后来在elasticsearch社区中也找到了问题根源：https://elasticsearch.cn/question/4671 ，原来这是6.30以上版本的特有操作，修改logstash配置文件后重启：
input { beats { port => 5044 } } filter { if [type] == "nginx-error" { grok { match => [ "message", "(?
最终看到日志正常显示：
四、变更
logstash获取源由beat改为文件路径获取，部署在10.1.4.55,将logstash包拷贝到10.1.4.55，并修改配置文件config/nginx.conf并启动
input { file { type => "nginx-error" path => [ "/home/elk/filebeat-6.3.2-linux-x86_64/nginx/error/error*.log" ] tags => [ "nginx","error"] start_position => beginning } } filter { if [type] == "nginx-error" { grok { match => [ "message", "(?
在 /home/elk/filebeat-6.3.2-linux-x86_64/nginx/error/ 目录中添加一个错误日志，error11.log,可以看到kibana页面发生了变化:
说明按照目录导入了日志
filebeat也可以直接导入 ，修改配置文件并启动：
#filebeat# filebeat.prospectors: #nginx - input_type: log enable: yes #tags: nginx-error paths: - /home/elk/filebeat-6.3.2-linux-x86_64/nginx/error/error*.log document_type: nginx-error exclude_lines: ["^$"] fields: type: "nginx-error" fields_under_root: true output.elasticsearch: hosts: ["10.1.4.54:9200"] #index: filebeat
查看kibana页面
五、拓展，x-pack
待续...