AWS S3 - Cronos EVM Public Dataset

Cronos Public Dataset - AWS S3 Access Guide

The Cronos public blockchain dataset is hosted on Amazon S3 and is freely queryable via Athena, ClickHouse, Presto/Trino, DuckDB, or any engine that supports S3-backed Parquet or CSV data.

Dataset Overview

Base S3 path:

s3://aws-public-blockchain/v1.1/cronos/evm/

Public index page: https://aws-public-blockchain.s3.us-east-2.amazonaws.com/index.html#v1.1/cronos/evm/

Region: us-east-2 Update frequency: Nightly sync at +2 UTC

Available Tables

Table	Description
blocks	One row per block — includes block metadata like hash, miner, and gas usage.
transactions	One row per transaction — includes sender, recipient, gas, and value.
receipts	One row per transaction receipt — includes status, gas used, and logs count.
logs	One row per emitted EVM log — includes address, topics, and data.
decoded_events	Human-readable decoded events (topics and data mapped to ABI definitions).

Common Prerequisites (Step 0)

Before you start, make sure you:

• Have internet access (dataset is public, no credentials needed).

• Use region us-east-2 for AWS-based tools.

• Have a basic understanding of SQL (optional).

Option 1: Amazon Athena (Console Method)

Step 0 — Create or Log In to AWS Account

Sign in at https://aws.amazon.com/.

Step 1 — Open Athena in the us-east-2 Region

Go to https://console.aws.amazon.com/athena/.

Step 2 — Create a Database

CREATE DATABASE IF NOT EXISTS cronos;
USE cronos;

Step 3 — Create Tables

blocks

CREATE EXTERNAL TABLE IF NOT EXISTS blocks (
  block_hash          string,
  block_number        bigint,
  block_timestamp     bigint,
  parent_hash         string,
  gas_limit           bigint,
  gas_used            bigint,
  miner               string,
  size                bigint,
  extra_data          string,
  base_fee_per_gas    bigint,
  logs_bloom          string,
  state_root          string,
  transactions_root   string,
  receipts_root       string
)
PARTITIONED BY (date string)
STORED AS PARQUET
LOCATION 's3://aws-public-blockchain/v1.1/cronos/evm/'
TBLPROPERTIES (
  'parquet.compression'='SNAPPY',
  'projection.enabled'='true',
  'projection.date.type'='date',
  'projection.date.format'='yyyy-MM-dd',
  'projection.date.range'='2021-11-01,NOW',
  'storage.location.template'='s3://aws-public-blockchain/v1.1/cronos/evm/blocks/date=${date}/'
);

transactions

CREATE EXTERNAL TABLE IF NOT EXISTS transactions (
  block_hash                 string,
  block_number               bigint,
  block_timestamp            bigint,
  transaction_hash           string,
  transaction_index          int,
  nonce                      string,
  from_address               string,
  to_address                 string,
  value                      string,
  input                      string,
  gas                        string,
  gas_price                  string,
  transaction_type           tinyint
)
PARTITIONED BY (date string)
STORED AS PARQUET
LOCATION 's3://aws-public-blockchain/v1.1/cronos/evm/'
TBLPROPERTIES (
  'parquet.compression'='SNAPPY',
  'projection.enabled'='true',
  'projection.date.type'='date',
  'projection.date.format'='yyyy-MM-dd',
  'projection.date.range'='2021-11-08,NOW',
  'storage.location.template'='s3://aws-public-blockchain/v1.1/cronos/evm/transactions/date=${date}/'
);

receipts

CREATE EXTERNAL TABLE IF NOT EXISTS receipts (
  block_hash            string,
  block_number          bigint,
  block_timestamp       bigint,
  transaction_hash      string,
  transaction_index     int,
  from_address          string,
  to_address            string,
  contract_address      string,
  cumulative_gas_used   string,
  gas_used              string,
  effective_gas_price   string,
  status                tinyint
)
PARTITIONED BY (date string)
STORED AS PARQUET
LOCATION 's3://aws-public-blockchain/v1.1/cronos/evm/'
TBLPROPERTIES (
  'parquet.compression'='SNAPPY',
  'projection.enabled'='true',
  'projection.date.type'='date',
  'projection.date.format'='yyyy-MM-dd',
  'projection.date.range'='2021-11-08,NOW',
  'storage.location.template'='s3://aws-public-blockchain/v1.1/cronos/evm/receipts/date=${date}/'
);

logs

CREATE EXTERNAL TABLE IF NOT EXISTS logs (
  block_hash            string,
  block_number          bigint,
  block_timestamp       bigint,
  transaction_hash      string,
  transaction_index     int,
  log_index             int,
  address               string,
  data                  string,
  topics                array<string>,
  removed               boolean
)
PARTITIONED BY (date string)
STORED AS PARQUET
LOCATION 's3://aws-public-blockchain/v1.1/cronos/evm/'
TBLPROPERTIES (
  'parquet.compression'='SNAPPY',
  'projection.enabled'='true',
  'projection.date.type'='date',
  'projection.date.format'='yyyy-MM-dd',
  'projection.date.range'='2021-11-08,NOW',
  'storage.location.template'='s3://aws-public-blockchain/v1.1/cronos/evm/logs/date=${date}/'
);

decoded_events

CREATE EXTERNAL TABLE IF NOT EXISTS decoded_events (
  block_hash            string,
  block_number          bigint,
  block_timestamp       bigint,
  transaction_hash      string,
  transaction_index     int,
  log_index             int,
  address               string,
  event_hash            string,
  event_signature       string,
  topics                array<string>,
  args                  array<struct<key:string,value:string>>,
  removed               boolean
)
PARTITIONED BY (date string)
STORED AS PARQUET
LOCATION 's3://aws-public-blockchain/v1.1/cronos/evm/'
TBLPROPERTIES (
  'parquet.compression'='SNAPPY',
  'projection.enabled'='true',
  'projection.date.type'='date',
  'projection.date.format'='yyyy-MM-dd',
  'projection.date.range'='2021-11-08,NOW',
  'storage.location.template'='s3://aws-public-blockchain/v1.1/cronos/evm/decoded-events/date=${date}/'
);

Step 4 — Query Examples

SELECT COUNT(*) FROM blocks;
SELECT * FROM transactions WHERE to_address IS NOT NULL LIMIT 10;
SELECT event_name, COUNT(*) FROM decoded_events GROUP BY 1 ORDER BY 2 DESC;

Option 2: ClickHouse

Step 0 — Install ClickHouse

docker run -d \
  --name clickhouse-server \
  -p 8123:8123 -p 9000:9000 \
  -e CLICKHOUSE_PASSWORD='YOUR_PASSWORD' \
  clickhouse/clickhouse-server

or

brew install clickhouse

Step 1 — Connect

clickhouse-client

Step 2 — Query Public Parquet Data

SELECT block_number, miner
FROM s3(
  'https://aws-public-blockchain.s3.us-east-2.amazonaws.com/v1.1/cronos/evm/blocks/date=*/*.parquet',
  'Parquet'
)
WHERE block_number = 20000000
ORDER BY block_number DESC;

SELECT block_number, miner
FROM s3(
  'https://aws-public-blockchain.s3.us-east-2.amazonaws.com/v1.1/cronos/evm/blocks/date=2025-01-01/*.parquet',
  'Parquet'
)
ORDER BY block_number DESC
LIMIT 5;

Repeat similarly for other tables by adjusting the path:

• /transactions/date=*/*.parquet

• /receipts/date=*/*.parquet

• /logs/date=*/*.parquet

• /decoded_events/date=*/*.parquet

No credentials or setup required.

Option 3: Presto / Trino

Step 0 — Install

Follow: https://trino.io/docs/current/installation.html

Step 1 — Configure Hive Connector

Edit etc/catalog/hive.properties:

connector.name=hive
hive.s3.path-style-access=true
hive.s3.region=us-east-2

Step 2 — Start Trino

bin/launcher start

Step 3 — Create Schema & Tables

blocks

CREATE SCHEMA IF NOT EXISTS cronos;
USE cronos;

CREATE TABLE blocks (
  block_hash VARCHAR,
  block_number BIGINT,
  block_timestamp BIGINT,
  parent_hash VARCHAR,
  gas_limit BIGINT,
  gas_used BIGINT,
  miner VARCHAR,
  size BIGINT,
  extra_data VARCHAR,
  base_fee_per_gas BIGINT,
  logs_bloom VARCHAR,
  state_root VARCHAR,
  transactions_root VARCHAR,
  receipts_root VARCHAR,
  date VARCHAR
)
WITH (
  external_location = 's3a://aws-public-blockchain/v1.1/cronos/evm/blocks/',
  format = 'PARQUET',
  partitioned_by = ARRAY['date']
);

transactions

CREATE TABLE transactions (
  block_hash VARCHAR,
  block_number BIGINT,
  block_timestamp BIGINT,
  transaction_hash VARCHAR,
  transaction_index INTEGER,
  nonce VARCHAR,
  from_address VARCHAR,
  to_address VARCHAR,
  value VARCHAR,
  input VARCHAR,
  gas VARCHAR,
  gas_price VARCHAR,
  transaction_type TINYINT,
  date VARCHAR
)
WITH (
  external_location = 's3a://aws-public-blockchain/v1.1/cronos/evm/transactions/',
  format = 'PARQUET',
  partitioned_by = ARRAY['date']
);

receipts

CREATE TABLE receipts (
  block_hash VARCHAR,
  block_number BIGINT,
  block_timestamp BIGINT,
  transaction_hash VARCHAR,
  transaction_index INTEGER,
  from_address VARCHAR,
  to_address VARCHAR,
  contract_address VARCHAR,
  cumulative_gas_used VARCHAR,
  gas_used VARCHAR,
  effective_gas_price VARCHAR,
  status TINYINT,
  date VARCHAR
)
WITH (
  external_location = 's3a://aws-public-blockchain/v1.1/cronos/evm/receipts/',
  format = 'PARQUET',
  partitioned_by = ARRAY['date']
);

logs

CREATE TABLE logs (
  block_hash VARCHAR,
  block_number BIGINT,
  block_timestamp BIGINT,
  transaction_hash VARCHAR,
  transaction_index INTEGER,
  log_index INTEGER,
  address VARCHAR,
  data VARCHAR,
  topics ARRAY<VARCHAR>,
  removed BOOLEAN,
  date VARCHAR
)
WITH (
  external_location = 's3a://aws-public-blockchain/v1.1/cronos/evm/logs/',
  format = 'PARQUET',
  partitioned_by = ARRAY['date']
);

decoded events

CREATE TABLE decoded_events (
  block_hash VARCHAR,
  block_number BIGINT,
  block_timestamp BIGINT,
  transaction_hash VARCHAR,
  transaction_index INTEGER,
  log_index INTEGER,
  address VARCHAR,
  event_hash VARCHAR,
  event_signature VARCHAR,
  topics ARRAY<VARCHAR>,
  args ARRAY<ROW(key VARCHAR, value VARCHAR)>,
  removed BOOLEAN,
  date VARCHAR
)
WITH (
  external_location = 's3a://aws-public-blockchain/v1.1/cronos/evm/decoded-events/',
  format = 'PARQUET',
  partitioned_by = ARRAY['date']
);

Step 4 — Query

SELECT COUNT(*) FROM blocks;
SELECT * FROM transactions WHERE date = '2025-10-08' LIMIT 5;
SELECT block_number, COUNT(*) FROM receipts GROUP BY block_number ORDER BY block_number DESC LIMIT 10;

Option 4: DuckDB (Local)

Step 0 — Install

pip install duckdb

Step 1 — Run Query (CLI)

duckdb -c "
SELECT block_number, miner
FROM read_parquet('https://aws-public-blockchain.s3.us-east-2.amazonaws.com/v1.1/cronos/evm/blocks/date=2025-01-01/*.parquet')
ORDER BY block_number DESC
LIMIT 5;
"

Step 2 — Python Example

import duckdb
con = duckdb.connect()
con.sql("""
  SELECT block_number, miner
  FROM read_parquet('https://aws-public-blockchain.s3.us-east-2.amazonaws.com/v1.1/cronos/evm/blocks/date=2025-01-01/*.parquet')
  ORDER BY block_number DESC
  LIMIT 5;
""").show()

Works out-of-the-box — no AWS setup needed.

Option 5: Other Tools

Tool	Connection Example
Spark	spark.read.parquet("s3a://aws-public-blockchain/v1.1/cronos/evm/transactions/date=*/")
Dask / Polars	dd.read_parquet("https://.../*.parquet") or pl.scan_parquet()
AWS Glue	Create crawler with s3://aws-public-blockchain/v1.1/cronos/evm/
Redshift Spectrum	Create external schema and map Parquet tables to S3 paths

Summary

Engine	Auth Needed	Works With	Notes
Athena	No	AWS Console	Easiest for browser users
ClickHouse	No	Local or Cloud	Fast columnar queries
Presto / Trino	No	Cluster setup	Integrates with Hive
DuckDB	No	Local, Python	Lightweight and portable

Data Model — Cronos Public Dataset

The Cronos dataset consists of five interrelated tables:

blocks
│
├── transactions
│     └── receipts
│          └── logs
│               └── decoded_events

Each layer represents a deeper level of blockchain execution — from the block level down to decoded smart contract events.

Relationship Diagram (Text-Based)

+----------------------+
|       blocks         |
|----------------------|
| block_number (PK)    |
| block_hash           |
| block_timestamp      |
+----------------------+
           │
           │ 1 : N
           ▼
+----------------------+
|    transactions      |
|----------------------|
| transaction_hash (PK)|
| block_number (FK)    |
| from_address         |
| to_address           |
+----------------------+
           │
           │ 1 : 1
           ▼
+----------------------+
|      receipts        |
|----------------------|
| transaction_hash (PK)|
| block_number (FK)    |
| status               |
| gas_used             |
+----------------------+
           │
           │ 1 : N
           ▼
+----------------------+
|        logs          |
|----------------------|
| transaction_hash (FK)|
| log_index (PK)       |
| address              |
| topics               |
| data                 |
+----------------------+
           │
           │ 1 : 1
           ▼
+----------------------+
|   decoded_events     |
|----------------------|
| transaction_hash (FK)|
| log_index (FK)       |
| event_signature      |
| args (key/value)     |
+----------------------+

Key Relationships

Parent	Child	Join Columns	Relationship
blocks	transactions	block_number	One block has many transactions
transactions	receipts	transaction_hash	One-to-one
transactions	logs	transaction_hash	One-to-many
logs	decoded_events	transaction_hash, log_index	One-to-one
blocks	receipts / logs / decoded_events	block_number	Cross-layer link for time context