DataStore는 실행 엔진 선택, 호환성 모드, 로깅, 캐싱, 프로파일링, 데이터 타입(dtype) 교정 등을 위한 포괄적인 구성 옵션을 제공합니다.
빠른 참고
from chdb.datastore.config import config
# Quick setup presets
config.enable_debug() # Enable verbose logging
config.use_chdb() # Force ClickHouse engine
config.use_pandas() # Force pandas engine
config.use_auto() # Auto-select engine (default)
config.use_performance_mode() # SQL-first, max throughput
config.use_pandas_compat() # Full pandas compatibility (default)
config.enable_profiling() # Enable performance profiling
모든 설정 옵션
| Category | Option | Values | Default | Description |
|---|
| Logging | log_level | DEBUG/INFO/WARNING/ERROR | WARNING | 로그 상세 수준 |
| log_format | "simple", "verbose" | "simple" | 로그 메시지 형식 |
| Cache | cache_enabled | True/False | True | 결과 캐시 사용 |
| cache_ttl | float (seconds) | 0.0 | 캐시 TTL(유효 기간) |
| Engine | execution_engine | "auto", "chdb", "pandas" | "auto" | 실행 엔진 |
| cross_datastore_engine | "auto", "chdb", "pandas" | "auto" | DataStore 간 연산 |
| Compat | compat_mode | "pandas", "performance" | "pandas" | Pandas 호환성 vs SQL 우선 처리량 |
| Profiling | profiling_enabled | True/False | False | 프로파일링 사용 |
| Dtype | correction_level | NONE/CRITICAL/HIGH/MEDIUM/ALL | HIGH | Dtype 보정 수준 |
구성 방법
로그 구성
from chdb.datastore.config import config
import logging
# Set log level
config.set_log_level(logging.DEBUG)
config.set_log_level(logging.INFO)
config.set_log_level(logging.WARNING) # Default
config.set_log_level(logging.ERROR)
# Set log format
config.set_log_format("simple") # Default
config.set_log_format("verbose") # More details
# Quick enable debug mode
config.enable_debug() # Sets DEBUG level + verbose format
자세한 내용은 Logging 문서를 참조하십시오.
캐시 설정
# Enable/disable caching
config.set_cache_enabled(True) # Default
config.set_cache_enabled(False) # Disable caching
# Set cache TTL (time-to-live)
config.set_cache_ttl(60.0) # Cache expires after 60 seconds
config.set_cache_ttl(0.0) # No expiration (default)
# Check current settings
print(config.cache_enabled)
print(config.cache_ttl)
엔진 설정
# Set execution engine
config.set_execution_engine('auto') # Auto-select (default)
config.set_execution_engine('chdb') # Force ClickHouse
config.set_execution_engine('pandas') # Force pandas
# Quick presets
config.use_auto() # Auto-select
config.use_chdb() # Force ClickHouse
config.use_pandas() # Force pandas
# Cross-DataStore engine (for operations between different DataStores)
config.set_cross_datastore_engine('auto')
config.set_cross_datastore_engine('chdb')
config.set_cross_datastore_engine('pandas')
# Check current engine
print(config.execution_engine)
자세한 내용은 Execution Engine을 참조하십시오.
호환성 모드
# Performance mode: SQL-first, no pandas compatibility overhead
config.use_performance_mode()
# or: config.set_compat_mode('performance')
# Pandas compatibility mode (default)
config.use_pandas_compat()
# or: config.set_compat_mode('pandas')
# Check current mode
print(config.compat_mode) # 'pandas' or 'performance'
자세한 내용은 성능 모드를 참조하십시오.
프로파일링 설정
# Enable profiling
config.enable_profiling()
config.set_profiling_enabled(True)
# Disable profiling
config.set_profiling_enabled(False)
# Check if profiling is enabled
print(config.profiling_enabled)
자세한 내용은 Profiling을 참조하십시오.
Dtype 보정
from chdb.datastore.dtype_correction.config import CorrectionLevel
# Set correction level
config.set_correction_level(CorrectionLevel.NONE) # No correction
config.set_correction_level(CorrectionLevel.CRITICAL) # Critical types only
config.set_correction_level(CorrectionLevel.HIGH) # Default
config.set_correction_level(CorrectionLevel.MEDIUM) # More corrections
config.set_correction_level(CorrectionLevel.ALL) # All corrections
config 객체 사용
config 객체는 모든 설정을 관리하는 싱글톤(singleton)입니다:
from chdb.datastore.config import config
# Read settings
print(config.log_level)
print(config.execution_engine)
print(config.cache_enabled)
print(config.profiling_enabled)
# Modify settings
config.set_log_level(logging.DEBUG)
config.set_execution_engine('chdb')
config.set_cache_enabled(False)
config.enable_profiling()
코드에서의 설정
스크립트별 구성
from chdb import datastore as pd
from chdb.datastore.config import config
# Configure at script start
config.enable_debug()
config.use_chdb()
config.enable_profiling()
# Your DataStore code
ds = pd.read_csv("data.csv")
result = ds.filter(ds['age'] > 25).groupby('city').agg({'salary': 'mean'})
컨텍스트 매니저(추후 지원 예정)
# Planned feature: temporary configuration
with config.override(execution_engine='pandas'):
result = ds.process()
# Original settings restored
공통 구성 시나리오
개발/디버깅
from chdb.datastore.config import config
config.enable_debug() # Verbose logging
config.enable_profiling() # Performance tracking
config.set_cache_enabled(False) # Disable caching for fresh results
운영 환경
from chdb.datastore.config import config
import logging
config.set_log_level(logging.WARNING) # Minimal logging
config.set_execution_engine('auto') # Optimal engine selection
config.set_cache_enabled(True) # Enable caching
config.set_profiling_enabled(False) # Disable profiling overhead
최대 처리량
from chdb.datastore.config import config
config.use_performance_mode() # SQL-first, no pandas overhead
config.set_cache_enabled(False) # Disable cache for streaming
성능 테스트
from chdb.datastore.config import config
config.use_chdb() # Force ClickHouse for benchmarks
config.enable_profiling() # Track performance
config.set_cache_enabled(False) # Disable cache for accurate timing
Pandas 호환성 테스트
from chdb.datastore.config import config
config.use_pandas() # Force pandas engine
config.enable_debug() # See what operations are used
