Search microservice designed for low-latency full-text search across multiple fields. Backed by ElasticSearch. Updates and deletes handled via SQS Message Bus.

Microservice:

• publishes client-facing search endpoint
• writes search-relevant events to SQS for Events service
• handles video updates, creates, deletes via SQS

• Koa-backed Node server, deployed to AWS EC2
• ElasticSearch
• Redis
• Testing: Mocha/Chai with Instanbul for coverage
• Monitoring: New Relic, StatsD

1. Usage
2. Requirements
3. Development
   1. Installing Dependencies
   2. Tasks

Some usage instructions

Loading queue node data_generation/loadQueue.js Check Queue node server/controllers/helpers/test.js Update & Delete node server/controllers/helpers/test.js

In Kibana delete search: DELETE /bettersearch

Add new mappings () PUT /bettersearch ...followed by the schema.js JSON object

Can also curl:

 http://localhost:9200/bettersearch/ \
 -H 'content-type: application/json' \
 -d ``` 
...followed by mappings

Upload data

`curl -H 'Content-Type: application/x-ndjson' -XPOST 'localhost:9200/bettersearch/video/_bulk?pretty' --data-binary @v2.json`

Test
```GET /bettersearch/_search
 { 
    "query": {
      "match": {
       "title": "peace"
     }
   }
 }```

## Requirements

- Node 6.9.x
- Redis 3.2.x
- Postgresql 9.6.x
- etc

## Other Information

(TODO: fill this out with details about your project. Suggested ideas: architecture diagram, schema, and any other details from your app plan that sound interesting.)