Ethereum ETL

Export blocks and transactions (Schema, Reference):

> python export_blocks_and_transactions.py --start-block 0 --end-block 500000 \
--provider-uri https://mainnet.infura.io --blocks-output blocks.csv --transactions-output transactions.csv

Export ERC20 and ERC721 transfers (Schema, Reference):

> python export_token_transfers.py --start-block 0 --end-block 500000 \
--provider-uri file://$HOME/Library/Ethereum/geth.ipc --output token_transfers.csv

Export receipts and logs (Schema, Reference):

> python export_receipts_and_logs.py --transaction-hashes transaction_hashes.txt \
--provider-uri https://mainnet.infura.io --receipts-output receipts.csv --logs-output logs.csv

Export ERC20 and ERC721 token details (Schema, Reference):

> python export_tokens.py --token-addresses token_addresses.csv \
--provider-uri https://mainnet.infura.io --output tokens.csv

LIMITATIONS

Table of Contents

• Schema
  • blocks.csv
  • transactions.csv
  • token_transfers.csv
  • receipts.csv
  • logs.csv
  • contracts.csv
  • tokens.csv
• Exporting the Blockchain
  • Export in 2 Hours
  • Command Reference
• Querying in Amazon Athena
• Querying in Google BigQuery
  • Public Dataset

Schema

blocks.csv

Column	Type
number	bigint
hash	hex_string
parent_hash	hex_string
nonce	hex_string
sha3_uncles	hex_string
logs_bloom	hex_string
transactions_root	hex_string
state_root	hex_string
receipts_root	hex_string
miner	address
difficulty	numeric
total_difficulty	numeric
size	bigint
extra_data	hex_string
gas_limit	bigint
gas_used	bigint
timestamp	bigint
transaction_count	bigint

transactions.csv

Column	Type
hash	hex_string
nonce	bigint
block_hash	hex_string
block_number	bigint
transaction_index	bigint
from_address	address
to_address	address
value	numeric
gas	bigint
gas_price	bigint
input	hex_string

token_transfers.csv

Column	Type
token_address	address
from_address	address
to_address	address
value	numeric
transaction_hash	hex_string
log_index	bigint
block_number	bigint

receipts.csv

Column	Type
transaction_hash	hex_string
transaction_index	bigint
block_hash	hex_string
block_number	bigint
cumulative_gas_used	bigint
gas_used	bigint
contract_address	address
root	hex_string
status	bigint

logs.csv

Column	Type
log_index	bigint
transaction_hash	hex_string
transaction_index	bigint
block_hash	hex_string
block_number	bigint
address	address
data	hex_string
topics	string

contracts.csv

Column	Type
address	address
bytecode	hex_string
function_sighashes	string
is_erc20	boolean
is_erc721	boolean

tokens.csv

Column	Type
address	address
symbol	string
name	string
decimals	bigint
total_supply	numeric

You can find column descriptions in https://github.com/medvedev1088/ethereum-etl-airflow

Note: for the address type all hex characters are lower-cased. boolean type can have 2 values: True or False.

LIMITATIONS

• contracts.csv and tokens.csv files don’t include contracts created by message calls (a.k.a. internal transactions). We are working on adding support for those.
• In case the contract is a proxy, which forwards all calls to a delegate, interface detection doesn’t work, which means is_erc20 and is_erc721 will always be false for proxy contracts.
• The metadata methods (symbol, name, decimals, total_supply) for ERC20 are optional, so around 10% of the contracts are missing this data. Also some contracts (EOS) implement these methods but with wrong return type, so the metadata columns are missing in this case as well.
• token_transfers.value, tokens.decimals and tokens.total_supply have type STRING in BigQuery tables, because numeric types there can't handle 32-byte integers. You should use cast(value as FLOAT64) (possible loss of precision) or safe_cast(value as NUMERIC) (possible overflow) to convert to numbers.
• The contracts that don't implement decimals() function but have the fallback function that returns a boolean will have 0 or 1 in the decimals column in the CSVs.

Exporting the Blockchain

1. Install python 3.6 https://www.python.org/downloads/ (3.5 and 3.7 are not supported by this tool for now)

2. You can use Infura if you don't need ERC20 transfers (Infura doesn't support eth_getFilterLogs JSON RPC method). For that use -p https://mainnet.infura.io option for the commands below. If you need ERC20 transfers or want to export the data ~40 times faster, you will need to set up a local Ethereum node:

3. Install geth https://github.com/ethereum/go-ethereum/wiki/Installing-Geth

4. Start geth. Make sure it downloaded the blocks that you need by executing eth.syncing in the JS console. You can export blocks below currentBlock, there is no need to wait until the full sync as the state is not needed (unless you also need contracts bytecode and token details; for those you need to wait until the full sync).

5. Clone Ethereum ETL and install the dependencies:

   > git clone https://github.com/medvedev1088/ethereum-etl.git
   > cd ethereum-etl
   > pip install -r requirements.txt

6. Export all:

   > ./export_all.sh -h
   Usage: ./export_all.sh -s <start_block> -e <end_block> -b <batch_size> -p <provider_uri> [-o <output_dir>]
   > ./export_all.sh -s 0 -e 5499999 -b 100000 -p file://$HOME/Library/Ethereum/geth.ipc -o output

   The result will be in the output subdirectory, partitioned in Hive style:

   output/blocks/start_block=00000000/end_block=00099999/blocks_00000000_00099999.csv
   output/blocks/start_block=00100000/end_block=00199999/blocks_00100000_00199999.csv
   ...
   output/transactions/start_block=00000000/end_block=00099999/transactions_00000000_00099999.csv
   ...
   output/token_transfers/start_block=00000000/end_block=00099999/token_transfers_00000000_00099999.csv
   ...

Should work with geth and parity, on Linux, Mac, Windows. If you use Parity you should disable warp mode with --no-warp option because warp mode does not place all of the block or receipt data into the database https://wiki.parity.io/Getting-Synced Tested with Python 3.6, geth 1.8.7, Ubuntu 16.04.4

If you see weird behavior, e.g. wrong number of rows in the CSV files or corrupted files, check this issue: blockchain-etl#28

Export in 2 Hours

You can use AWS Auto Scaling and Data Pipeline to reduce the exporting time to a few hours. Read this article for details https://medium.com/@medvedev1088/how-to-export-the-entire-ethereum-blockchain-to-csv-in-2-hours-for-10-69fef511e9a2

Running in Windows

Additional steps:

1. Install Visual C++ Build Tools https://landinghub.visualstudio.com/visual-cpp-build-tools

2. Install Git Bash with Git for Windows https://git-scm.com/download/win

3. Run in Git Bash:

   >  ./export_all.sh -s 0 -e 999999 -b 100000 -p 'file:\\\\.\pipe\geth.ipc' -o output

Running in Docker

1. Install Docker https://docs.docker.com/install/

2. Build a docker image

   > docker build -t ethereum-etl:latest .
   > docker image ls

3. Run a container out of the image

   > docker run -v $HOME/output:/ethereum-etl/output ethereum-etl:latest -s 0 -e 5499999 -b 100000 -p https://mainnet.infura.io
   > docker run -v $HOME/output:/ethereum-etl/output ethereum-etl:latest -s 2018-01-01 -e 2018-01-01 -b 100000 -p https://mainnet.infura.io

Command Reference

• export_blocks_and_transactions.py
• export_token_transfers.py
• extract_token_transfers.py
• export_receipts_and_logs.py
• export_contracts.py
• export_tokens.py
• get_block_range_for_date.py
• get_keccak_hash.py

All the commands accept -h parameter for help, e.g.:

> python export_blocks_and_transactions.py -h

usage: export_blocks_and_transactions.py [-h] [-s START_BLOCK] -e END_BLOCK
                                         [-b BATCH_SIZE] --provider-uri PROVIDER_URI
                                         [-w MAX_WORKERS]
                                         [--blocks-output BLOCKS_OUTPUT]
                                         [--transactions-output TRANSACTIONS_OUTPUT]

Export blocks and transactions.

For the --output parameters the supported types are csv and json. The format type is inferred from the output file name.

export_blocks_and_transactions.py

> python export_blocks_and_transactions.py --start-block 0 --end-block 500000 \
--provider-uri file://$HOME/Library/Ethereum/geth.ipc --blocks-output blocks.csv --transactions-output transactions.csv

Omit --blocks-output or --transactions-output options if you want to export only transactions/blocks.

You can tune --batch-size, --max-workers for performance.

export_token_transfers.py

The API used in this command is not supported by Infura, so you will need a local node. If you want to use Infura for exporting ERC20 transfers refer to extract_token_transfers.py

> python export_token_transfers.py --start-block 0 --end-block 500000 \
--provider-uri file://$HOME/Library/Ethereum/geth.ipc --batch-size 100 --output token_transfers.csv

Include --tokens <token1> <token2> to filter only certain tokens, e.g.

> python export_token_transfers.py --start-block 0 --end-block 500000 --provider-uri file://$HOME/Library/Ethereum/geth.ipc \
--output token_transfers.csv --tokens 0x86fa049857e0209aa7d9e616f7eb3b3b78ecfdb0 0x06012c8cf97bead5deae237070f9587f8e7a266d

You can tune --batch-size, --max-workers for performance.

export_receipts_and_logs.py

First extract transaction hashes from transactions.csv (Exported with export_blocks_and_transactions.py):

> python extract_csv_column.py --input transactions.csv --column transaction_hash --output transaction_hashes.txt

Then export receipts and logs:

> python export_receipts_and_logs.py --transaction-hashes transaction_hashes.txt \
--provider-uri file://$HOME/Library/Ethereum/geth.ipc --receipts-output receipts.csv --logs-output logs.csv

Omit --receipts-output or --logs-output options if you want to export only logs/receipts.

You can tune --batch-size, --max-workers for performance.

Upvote this feature request openethereum/parity-ethereum#9075, it will make receipts and logs export much faster.

extract_token_transfers.py

First export receipt logs with export_receipts_and_logs.py.

Then extract transfers from the logs.csv file:

> python extract_token_transfers.py --logs logs.csv --output token_transfers.csv

You can tune --batch-size, --max-workers for performance.

export_contracts.py

First extract contract addresses from receipts.csv (Exported with export_receipts_and_logs.py):

> python extract_csv_column.py --input receipts.csv --column contract_address --output contract_addresses.txt

Then export contracts:

> python export_contracts.py --contract-addresses contract_addresses.txt \
--provider-uri file://$HOME/Library/Ethereum/geth.ipc --output contracts.csv

You can tune --batch-size, --max-workers for performance.

export_tokens.py

First extract token addresses from contracts.json (Exported with export_contracts.py):

> python filter_items.py -i contracts.json -p "item['is_erc20'] or item['is_erc721']" | \
python extract_field.py -f address -o token_addresses.txt

Then export ERC20 / ERC721 tokens:

> python export_tokens.py --token-addresses token_addresses.txt \
--provider-uri file://$HOME/Library/Ethereum/geth.ipc --output tokens.csv

You can tune --max-workers for performance.

get_block_range_for_date.py

> python get_block_range_for_date.py --provider-uri=https://mainnet.infura.io --date 2018-01-01
4832686,4838611

get_keccak_hash.py

> python get_keccak_hash.py -i "transfer(address,uint256)"
0xa9059cbb2ab09eb219583f4a59a5d0623ade346d962bcd4e46b11da047c9049b

Running Tests

> export ETHEREUM_ETL_RUN_SLOW_TESTS=True
> pytest -vv

Querying in Amazon Athena

• Upload the files to S3:

> cd output
> aws s3 sync . s3://<your_bucket>/ethereumetl/export --region ap-southeast-1

• Sign in to Athena https://console.aws.amazon.com/athena/home

• Create a database:

CREATE DATABASE ethereumetl;

• Create the tables:
  • blocks: schemas/aws/blocks.sql
  • transactions: schemas/aws/transactions.sql
  • token_transfers: schemas/aws/token_transfers.sql
  • contracts: schemas/aws/contracts.sql
  • receipts: schemas/aws/receipts.sql
  • logs: schemas/aws/logs.sql
  • tokens: schemas/aws/tokens.sql

Tables for Parquet Files

Read this article on how to convert CSVs to Parquet https://medium.com/@medvedev1088/converting-ethereum-etl-files-to-parquet-399e048ddd30

• Create the tables:
  • parquet_blocks: schemas/aws/parquet/parquet_blocks.sql
  • parquet_transactions: schemas/aws/parquet/parquet_transactions.sql
  • parquet_token_transfers: schemas/aws/parquet/parquet_token_transfers.sql

Note that DECIMAL type is limited to 38 digits in Hive https://cwiki.apache.org/confluence/display/Hive/LanguageManual+Types#LanguageManualTypes-decimal so values greater than 38 decimals will be null.

Querying in Google BigQuery

Refer to https://github.com/medvedev1088/ethereum-etl-airflow for the instructions.

Public Dataset

You can query the data that's updated daily in the public BigQuery dataset https://medium.com/@medvedev1088/ethereum-blockchain-on-google-bigquery-283fb300f579