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ClickHouse Protocol Documentation

This directory contains consolidated documentation for HeliosDB's ClickHouse protocol support.

Quick Start

Connect to HeliosDB using any ClickHouse client:

from clickhouse_driver import Client

# Connect to HeliosDB (ClickHouse-compatible)
client = Client(
    host='localhost',
    port=9000,
    user='default',
    password='',
    database='default'
)

# Execute query
result = client.execute('SELECT count() FROM events')
print(f"Total events: {result[0][0]}")

Contents

File Description
README.md Overview and quick start (this file)
CONFIGURATION.md Connection and protocol configuration
COMPATIBILITY.md ClickHouse feature compatibility
EXAMPLES.md Query and analytics examples

Feature Overview

Protocol Support

Feature Status Notes
Native Protocol (TCP) 100% Port 9000
HTTP Protocol 100% Port 8123
Compression Supported LZ4, ZSTD
SSL/TLS Supported Secure connections

Table Engines

Engine Coverage Notes
MergeTree 100% Primary engine
ReplacingMergeTree 100% Upsert support
AggregatingMergeTree 100% Pre-aggregation
SummingMergeTree 100% Auto-summing
Distributed 100% Multi-node queries

Query Features

Feature Status Notes
PREWHERE Supported Early filtering
SAMPLE Supported Data sampling
FINAL Supported Deduplication
Materialized Views Supported Auto-aggregation
Window Functions Supported Analytics

Connection Parameters

Parameter Default Description
host localhost Server hostname
port 9000 Native protocol port
http_port 8123 HTTP protocol port
user default Username
password - Password
database default Database name
compression lz4 Compression type

Driver Compatibility

Driver Version Status
clickhouse-driver (Python) 0.2+ Full
clickhouse-go (Go) 2.x Full
@clickhouse/client (Node.js) 0.2+ Full
ClickHouse JDBC 0.4+ Full

Use Cases

  • Real-time Analytics: Sub-second query response
  • Log Analysis: Full-text search + aggregation
  • Time-Series: Metrics and monitoring
  • OLAP Queries: Complex aggregations
  • Data Lakes: S3/GCS integration

Performance Highlights

Operation Speed Notes
count() 11.7M rows/ms 1B rows in 85ms
GROUP BY 4.1M rows/ms 100K groups
Bulk Insert 1.5M rows/sec 100K batches

Last Updated: December 2025 Consolidation Status: Complete