// Config - notification target configuration structure, holds
// information about various notification targets.
type Config struct {
	AMQP          map[string]target.AMQPArgs          `json:"amqp"`
	Elasticsearch map[string]target.ElasticsearchArgs `json:"elasticsearch"`
	Kafka         map[string]target.KafkaArgs         `json:"kafka"`
	MQTT          map[string]target.MQTTArgs          `json:"mqtt"`
	MySQL         map[string]target.MySQLArgs         `json:"mysql"`

10.244.0.185:9200                                HEALTHY                  outbound|9200||elasticsearch.skywalking.svc.cluster.local
10.244.0.185:9300                                HEALTHY                  outbound|9300||elasticsearch.skywalking.svc.cluster.local
10.244.0.109:3000                                HEALTHY                  outbound|3000||grafana.istio-system.svc.cluster.local

1. (Change the period from upper right if you want to do.)
## FAQ

#### Q. Kibana can't connect Elasticsearch.

A. Please check `${KIBANA_HOME}/config/kibana.yml` and set correct Elasticsearch URL.

Example:
```
# The Elasticsearch instance to use for all your queries.
elasticsearch.url: "http://localhost:9201"
```

#### Q. I imported "fess\_log.ndjson" but no results found.

https://github.com/elastic/elasticsearch

Elasticsearch
Copyright 2009-2015 Elasticsearch

This product includes software developed by The Apache Software
Foundation (https://www.apache.org/).
--------------------------------------------------------------------------------
https://github.com/lmenezes/elasticsearch-kopf

The MIT License (MIT)

Copyright (c) 2014 Leonardo Menezes

Fess is based on [OpenSearch](https://github.com/opensearch-project/OpenSearch)/[Elasticsearch](https://github.com/elastic/elasticsearch), but knowledge/experience about OpenSearch/Elasticsearch is _not_ required. Fess provides an easy to use Administration GUI to configure the system via your browser.

Fess est basé sur  [OpenSearch](https://github.com/opensearch-project/OpenSearch)/[Elasticsearch](https://github.com/elastic/elasticsearch), mais il _ne_ requiert _PAS_ connaissance ou expérience avec les solutions OpenSearch et Elasticsearch. Fess fourni une interface d'administration simple pour configurer le système via votre navigateur.

FESS_VAR_PATH=${packaging.fess.var.dir}

FESS_DICTIONARY_PATH=/var/lib/opensearch/config/

# Port
FESS_PORT=8080

# Heap Memory
FESS_HEAP_SIZE=512m

# Elasticsearch Path
SEARCH_ENGINE_HOME=/usr/share/opensearch/

# Elasticsearch URL

<a href="fess-ds-dropbox/" title="fess-ds-dropbox/">fess-ds-dropbox/</a>                                                 -         -      
<a href="fess-ds-elasticsearch/" title="fess-ds-elasticsearch/">fess-ds-elasticsearch/</a>                                           -         -      
<a href="fess-ds-gitbucket/" title="fess-ds-gitbucket/">fess-ds-gitbucket/</a>                                               -         -      

		</antcall>
		<!-- kopf -->
		<get dest="${target.dir}/kopf.zip">
			<url url="https://github.com/codelibs/elasticsearch-kopf/archive/${kopf.branch}.zip" />
		</get>
		<delete dir="${site.dir}/kopf" />
		<unzip dest="${site.dir}/kopf" src="${target.dir}/kopf.zip">
			<patternset>
				<include name="elasticsearch-kopf-${kopf.branch}/_site/**" />
			</patternset>
			<cutdirsmapper dirs="2" />
		</unzip>

* 基础的用户模型（可按需修改或删除）
* **Alembic** 迁移
* **CORS**（跨域资源共享）
* **Celery** Worker 可从后端其它部分有选择地导入并使用模型和代码
* REST 后端测试基于 Pytest，并与 Docker 集成，可独立于数据库实现完整的 API 交互测试。因为是在 Docker 中运行，每次都可从头构建新的数据存储（使用 ElasticSearch、MongoDB、CouchDB 等数据库，仅测试 API 运行）
* Python 与 **Jupyter Kernels** 集成，用于远程或 Docker 容器内部开发，使用 Atom Hydrogen 或 Visual Studio Code 的 Jupyter 插件
* **Vue** 前端：
    * 由 Vue CLI 生成
    * **JWT 身份验证**处理
    * 登录视图