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Cryo Indexer

Cryo Indexer

A blockchain indexer using Cryo for data extraction and ClickHouse for storage.

Table of Contents

Quick Start

# 1. Clone and build
git clone <repository>
cd cryo-indexer
make build

# 2. Configure
cp .env.example .env
# Edit .env with your RPC URL and ClickHouse settings

# 3. Run migrations
make run-migrations

# 4. Start indexing
make start

Operations Overview

The simplified indexer has 3 core operations designed for clarity and reliability:

Operation Purpose When to Use Key Features
continuous Real-time blockchain following Production systems, live data Polls chain tip, handles reorgs, automatic recovery
historical Fast bulk indexing of specific ranges Initial sync, catching up, research Parallel processing, progress tracking, efficient batching
maintain Process failed/pending ranges After failures, fixing incomplete data Retry failed ranges, process pending work

Operation Decision Tree

What do you need to do?

🔄 Real-time blockchain following?
└─ Use: continuous

📥 Download specific block range?
├─ Fresh/empty database?
│   └─ Use: historical (most efficient)
└─ Know exact range needed?
    └─ Use: historical

🔧 Fix failed or incomplete data?
├─ Ranges marked as 'failed'?
├─ Ranges stuck as 'pending'?
└─ Use: maintain

Current Implementation vs Roadmap

Feature Status Notes
continuous operation ✅ Implemented Real-time blockchain following
historical operation ✅ Implemented Parallel bulk indexing
maintain operation ✅ Implemented Processes failed/pending ranges from state table
Automatic gap detection ❌ Not implemented Roadmap feature
Automatic timestamp fixing ❌ Not implemented Roadmap feature
Data validation ✅ Basic validation Checks for valid timestamps during processing

Repository Structure

cryo-indexer/
├── Dockerfile                      # Container build configuration
├── LICENSE                        # MIT License
├── Makefile                       # Simplified build and run commands
├── README.md                      # This file
├── data/                          # Local data directory (mounted as volume)
├── docker-compose.yml             # Simplified Docker Compose configuration
├── img/
│   └── header-cryo-indexer.png   # Header image
├── migrations/                    # Database schema migrations
│   ├── 001_create_database.sql
│   ├── 002_create_blocks.sql
│   ├── 003_create_transactions.sql
│   ├── 004_create_logs.sql
│   ├── 005_create_contracts.sql
│   ├── 006_create_native_transfers.sql
│   ├── 007_create_traces.sql
│   ├── 008_create_balance_diffs.sql
│   ├── 009_create_code_diffs.sql
│   ├── 010_create_nonce_diffs.sql
│   ├── 011_create_storage_diffs.sql
│   ├── 012_create_indexing_state.sql  # Simplified state management
│   └── 013_create_withdrawals.sql     # Withdrawals table (auto-populated)
├── requirements.txt               # Python dependencies
├── scripts/
│   └── entrypoint.sh             # Simplified container entrypoint
└── src/                          # Main application code
    ├── __init__.py
    ├── __main__.py               # Simplified application entry point
    ├── config.py                 # Streamlined configuration (15 settings vs 40+)
    ├── indexer.py                # Main indexer with 3 operations
    ├── worker.py                 # Simplified worker with strict timestamp requirements
    ├── core/                     # Core functionality
    │   ├── __init__.py
    │   ├── blockchain.py         # Blockchain client for RPC calls
    │   ├── state_manager.py      # Simplified state management
    │   └── utils.py              # Utility functions
    └── db/                       # Database components
        ├── __init__.py
        ├── clickhouse_manager.py # Simplified ClickHouse operations
        ├── clickhouse_pool.py    # Connection pooling
        └── migrations.py         # Migration runner

Key Features

Simplified Design

  • 3 Operations: Down from 8+ complex operations
  • 15 Settings: Down from 40+ configuration options
  • Single State Table: Simplified from multiple state tracking tables
  • Fail-Fast: Clear error messages, immediate failure on issues

Reliability Features

  • Strict Timestamps: Blocks must have valid timestamps before processing other datasets
  • Atomic Processing: Complete ranges or fail entirely
  • Automatic Recovery: Self-healing from crashes and network issues
  • Parallel Processing: Efficient multi-worker historical indexing

Performance Improvements

  • Optimized Batching: Smart batch sizes for different operations
  • Reduced Overhead: Simpler code paths, less verification complexity
  • Better Resource Usage: Eliminated redundant operations
  • Faster Startup: Simpler initialization and state checking

Architecture

┌─────────────┐     ┌─────────────┐     ┌─────────────┐
│   Blockchain│────▶│    Cryo     │────▶│ ClickHouse  │
│     RPC     │     │  Extractor  │     │  Database   │
└─────────────┘     └─────────────┘     └─────────────┘
                           │                     ▲
                           ▼                     │
                    ┌─────────────┐              │
                    │ Simplified  │──────────────┘
                    │   Worker    │
                    └─────────────┘

Architecture Principles

  1. Blocks First: Always process blocks before other datasets
  2. Strict Validation: Fail immediately if timestamps are missing
  3. Single Source of Truth: Only indexing_state table for all state
  4. Clear Separation: Operations don't overlap in functionality
  5. Atomic Operations: Complete ranges or rollback entirely

How It Works

  1. Main Indexer (indexer.py) orchestrates one of 3 operations
  2. Simplified Worker (worker.py) processes ranges with strict timestamp requirements
  3. State Manager (state_manager.py) uses single table for all state tracking
  4. ClickHouse Manager handles database operations with fail-fast validation

Operation Modes

1. Continuous (Default)

Real-time blockchain following and indexing

Use Case: Production deployment for real-time data
Behavior:

  • Polls for new blocks every POLL_INTERVAL seconds (default: 10s)
  • Waits CONFIRMATION_BLOCKS (default: 12) before indexing to avoid reorgs
  • Processes in small batches (default: 100 blocks) for reliability
  • Automatically resumes from last indexed block on restart
  • Self-healing: resets stale jobs on startup

When to Use:

  • ✅ Production systems requiring up-to-date blockchain data
  • ✅ Real-time analytics and monitoring
  • ✅ DeFi applications needing fresh transaction data
  • ✅ After completing historical sync

Reliability Features:

  • Single-threaded for stability
  • Small batch sizes prevent memory issues
  • Automatic stale job cleanup
  • Graceful shutdown handling
# Basic continuous indexing
make continuous

# Continuous with specific mode  
make continuous MODE=full

# Start from specific block
make continuous START_BLOCK=18000000

2. Historical

Fast bulk indexing of specific block ranges

Use Case: Initial data loading, catching up, or selective range processing
Behavior:

  • Downloads exactly what you specify (start to end block)
  • Supports parallel processing with multiple workers
  • Automatically divides work into optimal batch sizes
  • Built-in progress tracking and ETA calculations
  • Strict timestamp validation at each step

When to Use:

  • ✅ Initial sync of blockchain data
  • ✅ Indexing specific periods (e.g., "DeFi Summer 2020")
  • ✅ Catching up after downtime
  • ✅ Selective data extraction for research
  • ✅ Fresh start with empty database
  • ✅ You know exactly what range you need

Performance Features:

  • Parallel workers for speed
  • Optimized batch sizes
  • Built-in load balancing
  • Progress monitoring
# Basic historical range
make historical START_BLOCK=1000000 END_BLOCK=2000000

# Parallel processing (recommended for large ranges)
make historical START_BLOCK=1000000 END_BLOCK=2000000 WORKERS=8

# Conservative settings for rate-limited RPCs
make historical START_BLOCK=1000000 END_BLOCK=1100000 \
  WORKERS=2 BATCH_SIZE=100 REQUESTS_PER_SECOND=10

3. Maintain

Process failed and pending ranges from state table

Use Case: Fix incomplete or failed indexing work
Behavior:

  • Scans State Table: Looks for ranges marked as 'failed' or 'pending'
  • Retry Processing: Re-attempts failed ranges with proper error handling
  • Clear Pending: Processes ranges that were never attempted
  • Progress Reporting: Shows what was fixed and any remaining issues
  • State-Driven: Only processes what the state table indicates needs work

When to Use:

  • ✅ After system failures or crashes
  • ✅ Network interruptions during indexing
  • ✅ RPC failures that left work incomplete
  • ✅ Ranges stuck in 'pending' state
  • ✅ Periodic maintenance to clear failed work

What It Fixes:

  • Ranges marked as 'failed' in indexing_state
  • Ranges stuck as 'pending' that were never processed
  • Worker crashes that left ranges incomplete

What It Does NOT Do (Roadmap Features):

  • Automatic gap detection between completed ranges
  • Timestamp correction from invalid dates
  • Data validation across all tables
  • State reconstruction from existing data
# Process all failed/pending ranges
make maintain

# Process issues for specific range
make maintain START_BLOCK=1000000 END_BLOCK=2000000

# Parallel maintenance
make maintain WORKERS=4

Maintain Operation Flow

  1. Scan Phase: Queries indexing_state table for failed/pending ranges
  2. Report Phase: Shows what issues were found
  3. Retry Phase: Re-processes each failed/pending range individually
  4. Complete Phase: Marks successfully processed ranges as completed

4. Validate (Read-Only)

Check indexing progress and data integrity

# Check overall progress
make status

# Validate specific range
make status START_BLOCK=1000000 END_BLOCK=2000000

Indexing Modes

Choose what blockchain data to extract and index:

Mode Comparison Table

Mode Datasets Use Case Performance Storage (per 1M blocks)
Minimal blocks, transactions, logs Standard DeFi/DApp analysis Fast ~50GB
Extra contracts, native_transfers, traces Additional contract & trace data Moderate ~100GB
Diffs balance_diffs, code_diffs, nonce_diffs, storage_diffs State change analysis Slow ~200GB
Full All 10 datasets Complete blockchain analysis Slowest ~500GB
Custom User-defined Tailored to specific needs Variable Variable

Minimal Mode (Default)

Standard DeFi/DApp analysis setup

Datasets: blocks, transactions, logs
Perfect for:

  • DeFi protocols analysis
  • Transaction monitoring
  • Event log processing
  • Token transfer tracking
make continuous MODE=minimal

Extra Mode

Additional blockchain data

Datasets: contracts, native_transfers, traces
Perfect for:

  • Contract deployment tracking
  • Native ETH transfers
  • Internal transaction analysis
  • MEV research
make continuous MODE=extra

Diffs Mode

State change tracking

Datasets: balance_diffs, code_diffs, nonce_diffs, storage_diffs
Perfect for:

  • State analysis
  • Account balance tracking
  • Storage slot monitoring
  • Contract code changes
make continuous MODE=diffs

Full Mode

Complete blockchain analysis

Datasets: All 10 datasets
Perfect for:

  • Complete audit trails
  • Academic research
  • Forensic analysis
  • Comprehensive blockchain indexing
make continuous MODE=full

Custom Mode

Tailored dataset selection

# MEV analysis
make continuous MODE=custom DATASETS=blocks,transactions,logs,traces,native_transfers

# Contract focus  
make continuous MODE=custom DATASETS=blocks,transactions,contracts

# State tracking
make continuous MODE=custom DATASETS=blocks,balance_diffs,storage_diffs

Configuration

Essential Settings

Variable Description Default Required
ETH_RPC_URL Blockchain RPC endpoint - ✅
CLICKHOUSE_HOST ClickHouse host - ✅
CLICKHOUSE_PASSWORD ClickHouse password - ✅

Core Settings

Variable Description Default Notes
NETWORK_NAME Network name for Cryo ethereum Most networks supported
CLICKHOUSE_USER ClickHouse username default Usually default
CLICKHOUSE_DATABASE Database name blockchain Auto-created
CLICKHOUSE_PORT ClickHouse port 8443 Standard for ClickHouse Cloud
CLICKHOUSE_SECURE Use HTTPS true Recommended

Operation Settings

Variable Description Default Options
OPERATION Operation mode continuous continuous, historical, maintain, validate
MODE Indexing mode minimal minimal, extra, diffs, full, custom
START_BLOCK Starting block number 0 For historical/maintain
END_BLOCK Ending block number 0 For historical/maintain

Performance Settings

Variable Description Default Notes
WORKERS Number of parallel workers 1 Use 4-16 for historical
BATCH_SIZE Blocks per batch 100 Smaller = more reliable
MAX_RETRIES Max retry attempts 3 Exponential backoff

RPC Settings

Variable Description Default Notes
REQUESTS_PER_SECOND RPC requests per second 20 Conservative default
MAX_CONCURRENT_REQUESTS Concurrent RPC requests 2 Prevent overload
CRYO_TIMEOUT Cryo command timeout (seconds) 600 Increase for slow networks

Continuous Mode Settings

Variable Description Default Notes
CONFIRMATION_BLOCKS Blocks to wait for confirmation 12 Reorg protection
POLL_INTERVAL Polling interval (seconds) 10 How often to check for new blocks

Database Schema

The indexer automatically creates these tables in ClickHouse:

Core Tables

  • blocks - Block headers and metadata with strict timestamp requirements
  • transactions - Transaction data including gas, value, status
  • logs - Event logs from smart contracts
  • contracts - Contract creation data
  • native_transfers - ETH/native token transfers
  • traces - Detailed transaction execution traces

State Diff Tables

  • balance_diffs - Account balance changes
  • code_diffs - Smart contract code changes
  • nonce_diffs - Account nonce changes
  • storage_diffs - Contract storage changes

Automatic Side Tables

  • withdrawals - Validator withdrawals (automatically populated when processing blocks)

Management Tables

  • indexing_state - Single source of truth for all indexing state
  • indexing_progress - Real-time progress view (materialized view)
  • migrations - Database migration tracking

Withdrawals Table

The withdrawals table is automatically populated whenever blocks are processed. It contains:

  • Block Context: block_number, block_hash, withdrawals_root, chain_id, block_timestamp
  • Withdrawal Data: withdrawal_index, validator_index, address, amount
  • System Fields: insert_version (for deduplication)

Key Features:

  • Automatic Population: No separate dataset needed - filled when processing blocks
  • Normalized Structure: Individual rows for each withdrawal (not JSON arrays)
  • Easy Querying: Standard SQL queries work naturally
  • Consistent Timestamps: Same timestamp validation as other tables

Example Queries:

-- Get all withdrawals for a specific validator
SELECT * FROM withdrawals 
WHERE validator_index = '0x2a696'
ORDER BY block_number;

-- Total withdrawal amounts by address
SELECT address, SUM(hexToUInt256(amount)) as total_amount
FROM withdrawals 
WHERE block_number >= 17000000
GROUP BY address
ORDER BY total_amount DESC;

-- Daily withdrawal summary
SELECT 
    toDate(block_timestamp) as date,
    COUNT(*) as withdrawal_count,
    COUNT(DISTINCT address) as unique_addresses,
    SUM(hexToUInt256(amount)) as total_amount
FROM withdrawals
GROUP BY date
ORDER BY date;

Running with Docker

Prerequisites

  • Docker and Docker Compose installed
  • ClickHouse instance (local or cloud)
  • Blockchain RPC endpoint

Environment Setup

Create a .env file:

# Required settings
ETH_RPC_URL=https://eth-mainnet.g.alchemy.com/v2/YOUR_KEY
CLICKHOUSE_HOST=your-clickhouse-host.com
CLICKHOUSE_PASSWORD=your-password

# Optional settings (smart defaults)
NETWORK_NAME=ethereum
CLICKHOUSE_DATABASE=blockchain
WORKERS=4
BATCH_SIZE=100
MODE=minimal

Build and Run

# Build the image
docker-compose build

# Run migrations (includes withdrawals table creation)
docker-compose --profile migrations up migrations

# Start continuous indexing
docker-compose up cryo-indexer-minimal

# Historical indexing (one-shot job)
OPERATION=historical START_BLOCK=18000000 END_BLOCK=18100000 \
docker-compose --profile historical up historical-job

# Maintenance (fix failed/pending ranges)
docker-compose --profile maintain up maintain-job

Running Different Modes

# Minimal mode (default) - includes automatic withdrawals processing
docker-compose up cryo-indexer-minimal

# Extra mode (contracts, transfers, traces) - includes automatic withdrawals processing
docker-compose up cryo-indexer-extra

# Diffs mode (state changes) - includes automatic withdrawals processing
docker-compose up cryo-indexer-diffs

# Full mode (everything) - includes automatic withdrawals processing
docker-compose up cryo-indexer-full

# Custom mode
DATASETS=blocks,transactions,logs,traces \
docker-compose up cryo-indexer-custom

Running with Makefile

Setup Commands

make build          # Build Docker image
make run-migrations # Run database migrations (includes withdrawals table)

Core Operations

# Continuous indexing (automatically processes withdrawals when processing blocks)
make continuous     # Start real-time indexing
make start          # Alias for continuous

# Historical indexing (automatically processes withdrawals when processing blocks)
make historical START_BLOCK=1000000 END_BLOCK=2000000
make historical START_BLOCK=1000000 END_BLOCK=2000000 WORKERS=8

# Maintenance (process failed/pending ranges)
make maintain       # Fix failed/pending ranges from state table

Quick Operations

# Different modes (all automatically process withdrawals when processing blocks)
make minimal        # Start minimal mode
make full          # Start full mode
make custom DATASETS=blocks,transactions,traces

# Testing
make test-range START_BLOCK=18000000  # Test with 1000 blocks

Monitoring

make logs           # View logs
make status         # Check indexing status (uses validate operation)
make ps            # Container status

Utilities

make stop          # Stop indexer
make clean         # Remove containers and volumes
make shell         # Open container shell

State Management

Indexing State Tracking

  • Single Source of Truth: Only the indexing_state table is used
  • Fixed Range Size: 1000-block ranges for predictable processing
  • Simple Statuses: pending → processing → completed or failed
  • Atomic Operations: Ranges are completed entirely or not at all
  • Automatic Cleanup: Stale jobs are reset on startup

State Model

indexing_state table:
- mode, dataset, start_block, end_block (composite key)
- status: pending | processing | completed | failed
- worker_id, attempt_count, created_at, completed_at
- rows_indexed, error_message

Stale Job Handling

  • On Startup: All 'processing' jobs are reset to 'pending'
  • No Complex Monitoring: Simple state-based detection
  • Self-Healing: System automatically recovers from crashes

Monitoring & Validation

Progress Monitoring

# Check overall progress (uses validate operation)
make status

# View detailed logs
make logs

# Monitor container status
make ps

Validation Reports

The validate operation provides progress reports:

=== INDEXING PROGRESS ===

blocks:
  Completed ranges: 1250
  Processing ranges: 0
  Failed ranges: 0
  Pending ranges: 0
  Highest attempted: 18125000
  Total rows: 125,000,000

transactions:
  Completed ranges: 1248
  Processing ranges: 0
  Failed ranges: 1
  Pending ranges: 1
  Highest attempted: 18125000
  Total rows: 45,230,123

=== MAINTENANCE NEEDED ===

transactions: 2 ranges need attention
  Failed range: blocks 18124000-18125000 (1000 blocks)
  Pending range: blocks 18120000-18121000 (1000 blocks)

💡 Run 'make maintain' to process these ranges

Real-time Monitoring

During operations, the system provides clear progress updates:

Historical Progress: 45/116 ranges (38.8%) | ✓ 43 | ✗ 2 | Rate: 12.5 ranges/min | ETA: 5.7 min
Maintain Progress: Fixed 12/15 ranges | ✓ 10 | ✗ 2 | Processed: 80%

Performance Tuning

Simplified Tuning Guidelines

  1. Start with Defaults: The defaults are optimized for reliability
  2. Scale Workers for Historical: Use 4-16 workers for large historical jobs
  3. Keep Batches Small: 100-block batches prevent memory issues
  4. Respect RPC Limits: Conservative defaults prevent rate limiting

Operation-Specific Tuning

Continuous Mode (Optimized for Reliability)

# Production settings
WORKERS=1                    # Single worker for stability
BATCH_SIZE=100              # Small batches for low latency
REQUESTS_PER_SECOND=20      # Conservative rate
CONFIRMATION_BLOCKS=12      # Standard reorg protection
POLL_INTERVAL=10           # Regular polling

Historical Mode (Optimized for Speed)

# Fast historical (good RPC)
WORKERS=16                  # High parallelism
BATCH_SIZE=500             # Larger batches for efficiency
REQUESTS_PER_SECOND=50     # Higher rate

# Conservative historical (rate-limited RPC)  
WORKERS=4                   # Moderate parallelism
BATCH_SIZE=100             # Reliable batch size
REQUESTS_PER_SECOND=20     # Respect limits

Maintain Mode (Balanced)

# Default settings are usually optimal
WORKERS=4                   # Parallel issue fixing
BATCH_SIZE=100             # Reliable processing

Troubleshooting

Common Issues

"Blocks missing valid timestamps"

Cause: Trying to process other datasets before blocks are indexed
Solution:

# Process blocks first
make historical START_BLOCK=X END_BLOCK=Y MODE=custom DATASETS=blocks
# Then process other datasets
make maintain

Ranges stuck as 'failed' or 'pending'

Cause: Worker crashes, network issues, or processing failures
Solution:

# Use maintain operation to retry these ranges
make maintain

Slow Historical Processing

Solutions:

# Increase workers and batch size
make historical START_BLOCK=X END_BLOCK=Y WORKERS=8 BATCH_SIZE=200

# For rate-limited RPCs
make historical START_BLOCK=X END_BLOCK=Y WORKERS=2 REQUESTS_PER_SECOND=10

RPC Rate Limits

Solution: Reduce requests per second and workers

REQUESTS_PER_SECOND=10 WORKERS=2 make historical

Out of Memory

Solution: Reduce batch size and workers

BATCH_SIZE=50 WORKERS=2 make historical

Error Resolution Workflow

  1. Check logs: make logs
  2. Check status: make status
  3. Process failed/pending: make maintain
  4. If issues persist: Reduce batch size/workers and retry

Use Case Examples

Complete Deployment Scenarios

1. Fresh Setup (New Deployment)

# Setup
make build
make run-migrations  # Creates all tables including withdrawals

# Historical sync  
make historical START_BLOCK=18000000 END_BLOCK=latest WORKERS=8

# Switch to continuous
make continuous

2. Existing Data (Recovery from Issues)

# Setup
make build  
make run-migrations  # Adds withdrawals table if not exists

# Process any failed/pending ranges
make maintain

# Verify everything is working
make status

# Start continuous indexing
make continuous

3. Research Project (Specific Time Period)

# Target specific historical period (includes withdrawals automatically)
make historical START_BLOCK=12000000 END_BLOCK=13000000 MODE=full

# Check for any incomplete ranges
make maintain

# Analyze specific events
make historical START_BLOCK=12500000 END_BLOCK=12600000 \
  MODE=custom DATASETS=blocks,transactions,logs

4. Maintenance and Recovery

# Regular health check and fix failed/pending ranges
make maintain

# After system issues - this processes incomplete work
make maintain

# Verify all issues resolved  
make status

5. Debugging Data Issues

# Check what's wrong
make status

# Fix incomplete ranges in specific area
make maintain START_BLOCK=1000000 END_BLOCK=2000000

Development and Testing

Local Development

# Test with small range (includes withdrawals processing)
make test-range START_BLOCK=18000000

# Test different modes
make historical START_BLOCK=18000000 END_BLOCK=18001000 MODE=minimal
make historical START_BLOCK=18000000 END_BLOCK=18001000 MODE=full

# Test maintenance
make maintain START_BLOCK=18000000 END_BLOCK=18001000

Performance Testing

# Benchmark different settings
time make historical START_BLOCK=18000000 END_BLOCK=18010000 WORKERS=4
time make historical START_BLOCK=18010000 END_BLOCK=18020000 WORKERS=8

Development

Local Development Setup

  1. Install Dependencies
pip install -r requirements.txt
  1. Set Environment Variables
export ETH_RPC_URL=your_rpc_url
export CLICKHOUSE_HOST=localhost
export CLICKHOUSE_PASSWORD=password
  1. Run Locally
python -m src

Testing

# Test with small range (automatically processes withdrawals)
make test-range START_BLOCK=18000000

# Test maintenance
make maintain START_BLOCK=18000000 END_BLOCK=18001000

# Validate results
make status

Roadmap Features

The following features are mentioned in the codebase but not yet implemented:

Automatic Gap Detection

  • Detect missing ranges between completed blocks
  • Smart gap identification beyond simple state table scanning
  • Cross-table validation to find data inconsistencies

Automatic Timestamp Fixing

  • Detect and fix invalid '1970-01-01' timestamps
  • Join with blocks table to correct timestamp issues
  • Batch timestamp correction operations

Enhanced Validation

  • Deep data validation across all tables
  • Completeness checks beyond state table
  • Data consistency verification

State Reconstruction

  • Rebuild indexing_state from existing data tables
  • Recover from corrupted state tracking
  • Automatic state healing

License

This project is licensed under the MIT License

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An execution layer indexer using cryo and saving to clickhouse

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