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The independent service that analyzes data from IoTeX blockchain

How it works

Analytics serves as an indexer for IoTeX blockchain. It gets the raw data including all the actions and receipts from an IoTeX full node and voting information from IoTeX election service and processes the data based on different dimensions. Currently, analytics registers five index protocols: accounts, blocks, actions, rewards, and votings. Each protocol keeps track of its relevant data and writes it into the corresponding database tables. Specifically, accounts protocol monitors the balance change of each account. Blocks protocol maintains block metadata and block producing history. Actions protocol logs action metadata and records more detailed information for special transactions, such as XRC smart contracts and Hermes smart contract. Rewards protocol keeps track of rewarding history and synthesize the reward aggregations for each candidate. Votings protocol is responsible for syncing the most recent candidate registrations and votes. In order to make the abovementioned data publicly accessible, analytics also builds a data serving layer upon the underlying database. Now it supports GraphQL API which contains a built-in interactive user interface. Feel free to play on the Mainnet Analytics Playground. For each available query, please refer to the Documentation for usage and examples.

If you want to build your own analytics and run it as a service, please go to the next section.

Get started

Minimum requirements

Components Version Description
Golang ≥ 1.11.5 Go programming language

Run as a service

  1. If you put the project code under your $GOPATH/src, you will need to set up an environment variable:
export GO111MODULE=on
  1. Specify MySQL connection string and datababse name by setting up the following environment variables:
export CONNECTION_STRING=username:password@protocol(address)/
export DB_NAME=dbname

e.g.

export CONNECTION_STRING=root:rootuser@tcp(127.0.0.1:3306)/
export DB_NAME=analytics

Note that you need to set up a MySQL DB instance beforehand.

  1. Specify IoTeX Public API address and IoTeX election service address by setting up the following environment variables:
export CHAIN_ENDPOINT=Full_Node_IP:API_Port
export ELECTION_ENDPOINT=Election_Host_IP:Election_Port

If you don't have access to an IoTeX full node, you can use the following setups:

export CHAIN_ENDPOINT=35.233.188.105:14014
export ELECTION_ENDPOINT=35.233.188.105:8089
  1. Specify server port (OPTIONAL):
export PORT=Port_Number

Port number = 8089 by default

  1. Start IoTeX-Analytics server:
make run
  1. If you want to query analytical data through GraphQL playground, after starting the server, go to http://localhost:8089/

You need to change the port number if you specify a different one.

Start a service in Docker Container

You can find the docker image on docker hub.

  1. Pull the docker image:
docker pull iotex/iotex-analytics:v0.1.0
  1. Run the following command to start a node:
docker run -d --restart on-failure --name analytics \
        -p 8089:8089 \
        -e CONFIG=/etc/iotex/config.yaml \
        -e CHAIN_ENDPOINT=35.233.188.105:14014 \
        -e ELECTION_ENDPOINT=35.233.188.105:8089 \
        -e CONNECTION_STRING=root:rootuser@tcp(host.docker.internal:3306)/ \
        -e DB_NAME=analytics \
        iotex/iotex-analytics:v0.1.0 \
        iotex-server

Note that you might need to change environment variables above based on your settings.

Now the service should be started successfully.