ElasticSearch + Logstash + Kibana 搭建笔记

提示：扫一扫查出行
【扫一扫了解最新限行尾号】
复制提示

ElasticSearch 安装

1、下载 ElasticSearch，本文使用的版本为 5.5.1。

2、配置

path.data: /data/es #数据路径 path.logs: /data/logs/es #日志路径 network.host: 本机地址 #服务器地址 http.port: 9200 #端口

如果不修改配置的话，默认的数据和日志都位于elasticsearch文件夹下。

默认地址会使用 192.168.0.1 的地址，此时ElasticSearch运行于开发模式，只能从本机访问。如果修改为生产地址，就会进入生产模式，并且运行 bootstrap check 。

3、启动

./bin/elasticsearch

注意，elasticsearch 不能使用 root 用户启动，使用其他用户启动，要注意有文件夹的读写权限。

我在安装过程中还出现了下面几个警告信息

[2017-08-07T09:13:59,951][WARN ][o.e.b.JNANatives ] unable to install syscall filter: java.lang.UnsupportedOperationException: seccomp unavailable: requires kernel 3.5+ with CONFIG_SECCOMP and CONFIG_SECCOMP_FILTER compiled in at org.elasticsearch.bootstrap.SystemCallFilter.linuxImpl(SystemCallFilter.java:350) ~[elasticsearch-5.5.1.jar:5.5.1] at org.elasticsearch.bootstrap.SystemCallFilter.init(SystemCallFilter.java:638) ~[elasticsearch-5.5.1.jar:5.5.1] at org.elasticsearch.bootstrap.JNANatives.tryInstallSystemCallFilter(JNANatives.java:245) [elasticsearch-5.5.1.jar:5.5.1] at org.elasticsearch.bootstrap.Natives.tryInstallSystemCallFilter(Natives.java:113) [elasticsearch-5.5.1.jar:5.5.1] at org.elasticsearch.bootstrap.Bootstrap.initializeNatives(Bootstrap.java:111) [elasticsearch-5.5.1.jar:5.5.1] at org.elasticsearch.bootstrap.Bootstrap.setup(Bootstrap.java:194) [elasticsearch-5.5.1.jar:5.5.1] at org.elasticsearch.bootstrap.Bootstrap.init(Bootstrap.java:351) [elasticsearch-5.5.1.jar:5.5.1] at org.elasticsearch.bootstrap.Elasticsearch.init(Elasticsearch.java:123) [elasticsearch-5.5.1.jar:5.5.1] at org.elasticsearch.bootstrap.Elasticsearch.execute(Elasticsearch.java:114) [elasticsearch-5.5.1.jar:5.5.1] at org.elasticsearch.cli.EnvironmentAwareCommand.execute(EnvironmentAwareCommand.java:67) [elasticsearch-5.5.1.jar:5.5.1] at org.elasticsearch.cli.Command.mainWithoutErrorHandling(Command.java:122) [elasticsearch-5.5.1.jar:5.5.1] at org.elasticsearch.cli.Command.main(Command.java:88) [elasticsearch-5.5.1.jar:5.5.1] at org.elasticsearch.bootstrap.Elasticsearch.main(Elasticsearch.java:91) [elasticsearch-5.5.1.jar:5.5.1] at org.elasticsearch.bootstrap.Elasticsearch.main(Elasticsearch.java:84) [elasticsearch-5.5.1.jar:5.5.1] [2017-08-01T14:10:57,843][WARN ][o.e.b.BootstrapChecks ] [VAfWGGZ] max file descriptors [65535] for elasticsearch process is too low, increase to at least [65536] [2017-08-01T14:10:57,844][WARN ][o.e.b.BootstrapChecks ] [VAfWGGZ] max number of threads [1024] for user [maserati] is too low, increase to at least [2048] [2017-08-01T14:10:57,844][WARN ][o.e.b.BootstrapChecks ] [VAfWGGZ] max virtual memory areas vm.max_map_count [65530] is too low, increase to at least [262144] [2017-08-01T14:10:57,844][WARN ][o.e.b.BootstrapChecks ] [VAfWGGZ] system call filters failed to install; check the logs and fix your configuration or disable system call filters at your own risk

针对文件描述符，调成 65536 ulimit -n 65536，如果提示没有权限，则可以在用户的 .bash_profile 中增加一行，退出用户重新登陆就可以。

针对 max number of threads 问题，修改 /etc/security/limits.d/90-nproc.conf 。

* soft nproc 2048 root soft nproc unlimited

针对 max virtual memory areas ，修改 /etc/sysctl.conf。如果没有，就新增一行。

vm.max_map_count = 262144

针对 system_call_filter 可以，通过修改配置文件（elasticsearch.yml）关掉这个参数。

bootstrap.system_call_filter: false

4、访问，出现下面的结果表示启动成功。

[root@iZ627x15h6pZ cloud]# curl http://localhost:9200 { "name" : "VAfWGGZ", "cluster_name" : "elasticsearch", "cluster_uuid" : "J9Tm5R2zRt2PkOSwtXj5Wg", "version" : { "number" : "5.5.1", "build_hash" : "19c13d0", "build_date" : "2017-07-18T20:44:24.823Z", "build_snapshot" : false, "lucene_version" : "6.6.0" }, "tagline" : "You Know, for Search" }

Logstash 安装

1、下载并解压 Logstash，本文用的 Logstash-5.5.1 版本

2、创建一个简单的配置文件 logstash_test.conf

input { stdin { } } output { stdout { codec => rubydebug } }

3、启动 logstash

./bin/logstash -f logstash_test.conf

出现这些信息，表示启动成功了。

[2017-08-01T13:58:38,437][INFO ][logstash.pipeline ] Pipeline main started The stdin plugin is now waiting for input: [2017-08-01T13:58:38,532][INFO ][logstash.agent ] Successfully started Logstash API endpoint {:port=>9600}

4、与ElasticSearch配合。