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About the developer

jdcloud-bds
1.0K Stars 53 Forks Apache License 2.0 18 Commits 0 Opened issues

Description

Blockchain data parsing and persisting results

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# 114,760
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kafka
golang
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BDS

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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

Environment Deployment

Install BDS

Environment initialization

Before compiling and running BDS, you must install go's compilation environment locally: go 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

Modify config/server.properties
  • message.max.bytes=1048576000

Install confluent

see confluent

Unzip the confluent package and run Confluent REST Proxy

Modify /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

PostgreSQL

Buy 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

Source code

Splitter Modules

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

License

Apache License 2.0

Project Demonstration

Blockchain Data Service

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