Blockchain data parsing and persisting results
# BDS 
![logo](./docs/bds-logo.png)

* [简体中文](./README.zh-cn.md)

## Introduction
JD Cloud Blockchain Data Service (BDS) is a realtime data aggregating, analyzing and visualization service for chain-like unstructured data from all kinds of 3rd party Blockchains

Splitter is the key module of Blockchain Data Service (BDS) and provides data analysis capability.

Splitter is responsible for consuming blockchain data from message queue (kafka) and inserting data into persistent data storage services (relational database, data warehouse, etc.) for further processing

## Architecture 
![Architecture](./docs/bds-architecture.jpg)

## Environment Deployment
### Install BDS 

#### Environment initialization
Before compiling and running BDS, you must install go's compilation environment locally: [go install](https://golang.org/doc/install)

#### Install Splitter steps

1. Set the path of project : `$GOPATH/src/github.com/jdcloud-bds/bds/`
2. Input`go build -v github.com/jdcloud-bds/bds/cmd/bds-splitter`，compile to get executable file *bds-splitter*
3. Build new configuration file *splitter.conf*,  see `/config/splitter_example.conf` configuration file template
4. Run program `./bds-splitter -c splitter.conf`

### Install confluent and kafka
#### Install kafka
See [kafka](https://kafka.apache.org/quickstart)

##### Modify config/server.properties 

* message.max.bytes=1048576000

#### Install confluent 
see [confluent](https://docs.confluent.io/current/installation/installing_cp/zip-tar.html#prod-kafka-cli-install)

Unzip the confluent package and run Confluent REST Proxy

##### Modify  <path-to-confluent>/etc/kafka-rest/kafka-rest.properties 

* max.request.size = 1048576000
* buffer.memory = 1048576000
* send.buffer.bytes = 1048576000

### Database
Database we now support SQL Server, PostgreSQL, you can choose one as a data storage method.

#### SQL Server
Buy [JCS For SQL Server](https://www.jdcloud.com/cn/products/jcs-for-sql-server)

#### PostgreSQL 
Buy [JCS For PostgreSQL](https://www.jdcloud.com/cn/products/jcs-for-postgresql)

After you run the database, you need to manually create new database and use the database name initialization splitter.conf.

### Install Grafana
See [Grafana Official](https://grafana.com/)

## Source code
[Splitter Modules](./splitter/README.md)

### Development Steps
1. Define the data structure of Kafka messages.
2. Define table structure.
3. Analyze Kafka message and store data in database.

## Contributing
[Contributing guide](./CONTRIBUTING.md)

## License
[Apache License 2.0](./LICENSE)

## Project Demonstration
[Blockchain Data Service](https://bds.jdcloud.com/)
