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Jaeger supports ES as back-end storage, which is convenient for queries and system extensions Run with Docker-compose Environment preparation Reference project: Https://github.com/rongfengliang/nginx-opentracing-demo Docker-compose file Version: ' 3 ' services:nginx:image:opentracing/nginx-opentracing networks:trivial_example:aliases: -Nginx volumes:-./nginx.conf:/etc/nginx/nginx.conf-./jaeger-config.json:/etc/jaeger-config.json Expose:-"8080" Ports:
Turn yourself to the blog: http://zhaoyanblog.com/archives/687.htmlElasticseach data Shard Shard, after the index is created, will not be changed during the life cycle, so when the index is created, it is reasonable to set shard number according to the estimated data size. In the cluster to let shard evenly distributed, can effectively balance the load of the cluster, so we should try to ensure that the Shard in the cluster distribution evenly.Each shard has its own number, from 1 onwards. You c
-size 64 mb Slowlog-log-slower-than 10000 Slowlog-max-len 128 Vm-enabled no Vm-swap-file/tmp/redis. swap Vm-max-memory 0 Vm-page-size 32 Vm-pages 134217728 Vm-max-threads 4 Hhash-max-zipmap-entries 512 Hash-max-zipmap-value 64 List-max-ziplist-entries 512 List-max-ziplist-value 64 Set-max-intset-entries 512 Zset-max-ziplist-entries 128 Zset-max-ziplist-value 64 Activerehashing yes3.1.2 Redis startup [Logstash @ Logstash_2 redis] # redis-server/data/redis/etc/redis. conf 3.2 configure and start E
In the process of building Elasticsearch database, the first use of its recommended Logstash tools to import data, but it is very uncomfortable to use, so you want to use Perl good regular expression to filter the data classification, and then import Elasticsearch, So search Cpan found the Search::elasticsearch module.The module on the cpan of the document written relatively concise, so the use of experience in the process is summarized as follows:One, data write:Use Search::elasticsearch;my $e
-s elasticsearch# cd /data/elasticsearch/bin# ./elasticearch Check whether startup is enabled SimpleCurl Test # curl http://172.16.220.248:9200 3. Install Logstash and filebeat Filebeat is used to obtain data on each server, send the data to logstash, and then process the data by logstash. 3.1 install log Stash # tar -zxvf logstash-5.6.3.tar.gz# mv logstash-5.6.3 /data/logstash 3.2 Install file Beat Download and start filebeat, and use
List-max-ziplist-entries 512 List-max-ziplist-value 64 Set-max-intset-entries 512 Zset-max-ziplist-entries 128 Zset-max-ziplist-value 64 Activerehashing yes3.1.2 Redis startup [Logstash @ Logstash_2 redis] # redis-server/data/redis/etc/redis. conf 3.2 configure and start Elasticsearch 3.2.1 start Elasticsearch [Logstash @ Logstash_2 redis] #/data/elasticsearch/elasticsearch-0.18.7/bin/elasticsearch-p ../esearch. pid 3.2.2 Elasticsearch cluster configuration Curl 127.0.0.1:
ESJava code 650) this.width=650; "class=" star "src=" Http://qindongliang.iteye.com/images/icon_star.png "alt=" Favorites Code "style= "border:0px;"/> [Root@ph1 elasticsearch-1.4. 1] # pwd /root/elasticsearch-1.4. 1 [Root@ph1 elasticsearch-1.4. 1] # LL Total dosage Drwxr-xr-x. 2 root root 4096 Month: Wuyi Bin Drwxr-xr-x. 2 root root 4096 Month: Wuyi Config drwxr-xr-x.3 rootroot4096 12 Month 4 01 : 33 data Drwxr-xr-x. 3 root root 4096 Month: -rw-rw-r--. 1 ro
To be able to process date fields into dates, manipulate numeric fields into numbers, process string fields into full text (Full-text) or exact string values, Elasticsearch need to know what type is contained within each field. The information for these types and fields is stored (contained) in the mapping (mapping).Elasticsearch supports the following simple field types: type String string Whole number byte,short,integer,long
The index can be initialized before the index is created, such as specifying the number of shards and the number of replicas. Library is the name of the indexCurl-xput ' http://192.168.1.10:9200/library/'-d ' {"Settings": {"Index": {"Number_of_shards": 5,"Number_of_replicas": 1}｝}‘Curl-xget ' Http://192.168.1.10:9200/library/_settings 'Curl-xget ' Http://192.168.1.10:92
Install VirtualBox Brew Cask Install vagrant vagrant File A vagrant file to describe a requirement for using a Ruby DSL virtual machine environment. When describing the Docker container, vagrant makes each container seem to be using its own unique virtual machine. In fact, this is an illusion, because each Docker container is actually allowed on a variety of proxy virtual machines. Therefore, two vagrant files are very necessary, a file is used to define the proxy virtual machine (Prov
First, Elasticsearch participle In the Elasticsearch, the Chinese participle is supported, but all the participle is in accordance with the word word, such as the standard word breaker standard, you can follow the way to query how to do participle Http://localhost:9200/iktest/_analyze?prettyanalyzer=standardtext= People's Republic of China The above example uses the standard to carry on the participle, the participle result is as follows: {"token
are as follows: For example, the/home/husen/config/directory has //in1.conf, in2.conf, filter1.conf, filter2.conf, out.conf these 5 files //We use/ Logstash-5.5.1/bin/logstash-f/home/husen/config boot Logtstash //logstash automatically loads this 5 configuration file and merges it into 1 whole profiles 2, Logstash multiple configuration files in the input, filter, output is independent of each other The answer: NO. Like what: # # IN1.CONF content is as follows: input{ file{ path=>
Elasticsearch Learning Notes (iv) Mapping mapping Mapping Brief IntroductionElasticsearch is a schema-less system, but does not represent no shema, but rather guesses the type of field you want based on the underlying type of JSON source data. Mapping is similar to a data type in a static language in Elasticsearch, but the mapping has some other meaning than the data type of the language. Elasticsearch guesses the field mappings you want based on the underlying type of the JSON source data. Con
} \| (?:%{number:body_bytes_sent}|-) \| (?:%{number:bytes_sent}|-) \| (?:%{notspace:gzip_ratio}|-) \| (?:%{qs:http_referer}|-) \| %{qs:user_agent} \| (?:%{qs:http_x_forwarded_for}|-) \| (%{urihost:upstream_addr}|-) \| (%{base16float:upstream_response_time}) \| %{number:upstream_status} \| (%{base16float:request_time}) "]} geoip {source =>" ClientIP "Target =>" Geoi P "Add_field => [[Geoip][coordinates]", "%{[geoip][longitude]}"] Add_field => ["[Geoip][coordinates]" , "%{[geoip][latitude]} "]} mu
' } ' >> Composer.json Echo '} ' >> Composer.json ./composer.phar Install First of all, analogy relational database: Relational DB-> Databases-> Tables-> Rows-> Columns elasticsearch-> Indices-> Types- Gt Documents-> FieldsElasticsearch clusters can contain multiple indexes (indices) (databases), each of which can contain multiple types (types) (tables), each containing multiple documents (documents) (rows), and then each document contains multiple fields (Fields) (columns). To cr
:172.17.203.210 2.3 Elasticsearch Common plug-in installation Head:is the cluster management tools, data visualization, and the search tool for adding and pruning. # installation Command ./bin/plugin Install Mobz/elasticsearch-head Access path: http://localhost:9200/_plugin/head/- Kopf: is a elasticsearch management tool that also provides APIs for ES cluster operations. # installation Command ./bin/plugin Install Lmenezes/elasticsearch-kopf Acces
Tags: trace rip output geography hosts match Redis Open archThis article is included in the Linux operation and Maintenance Enterprise Architecture Combat SeriesI. Collect custom logs from the cutting companyMany companies ' journals are not consistent with the default log format for services, so we need to cut them.1. Sample logs to be cut2018-02-24 11:19:23,532 [143] DEBUG Performancetrace 1145 Http://api.114995.com:8082/api/Carpool/QueryMatchRoutes 183.205.134.240 null 972533 310000 TITTL00
LogstashInput:https://www.elastic.co/guide/en/logstash/current/input-plugins.htmlInput {File {Path = "/var/log/messages"Type = "System"Start_position = "Beginning"}File {Path = "/var/log/elasticsearch/alex.log"Type = "Es-error"Start_position = "Beginning"}}Output:https://www.elastic.co/guide/en/logstash/current/output-plugins.htmlOutput {if [type] = = "System" {Elasticsearch {hosts=>["192.168.1.1:9200"]Index=> "system-%{+yyyy. MM.DD} "}}if [type] = =
1. Preparatory workDownload Elasticsearch version number 2.3.4 https://www.elastic.co/downloads/past-releases/elasticsearch-2-3-4, download the package required to synchronize the database https:// codeload.github.com/jprante/elasticsearch-jdbc/tar.gz/2.3.4.0, download ik chinese word https://github.com/medcl/ Elasticsearch-analysis-ik/releases/download/v1.9.4/elasticsearch-analysis-ik-1.9.4.zip2. Running ElasticsearchExtracttar vxf elasticsearch-2.3. 4. TarThe Elasticsearch is ready to start in
Write in front: In doing Elk logstash processing MySQL slow query log when the problem: 1, the test database does not have slow log, so there is no log information, resulting in ip:9200/_plugin/head/interface anomalies (suddenly appear log data, deleted the index disappeared) 2, Processing log script Problem 3, the current single-node configuration script file/usr/local/logstash-2.3.0/config/slowlog.conf "Verbose script file see last" output {elastics
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