akopytov/sysbench

Features

• Performance Benchmarking - Measures throughput and latency by running synthetic workloads and transactions against database systems to test speed and scalability.
• Online Transactional Simulations - Simulates real-world online transaction patterns to measure database performance and scalability.
• Scriptable Benchmark Engines - Provides a framework for defining custom performance scenarios through scripts that simulate specific database or system operations.
• Database Workload Simulation - Executes predefined computational tasks and database queries to isolate and measure the performance of specific hardware subsystems.
• Synthetic Workload Generation - Simulates concurrent application behaviors to determine how systems perform under heavy load.
• Multi-threaded Execution - Spawns multiple concurrent execution threads to saturate system resources and measure maximum throughput and scalability.
• Random Data Generators - Generates synthetic data access patterns using Zipfian and Gaussian distributions to simulate realistic system load.
• Modular Extension Architectures - Separates the core benchmarking engine from database-specific implementations through a consistent internal API for different backends.
• Database Request Latency Measurement - Measures response times and efficiency by simulating various workloads to test database operation speed.
• Database Throughput Measurement - Quantifies throughput and latency by executing synthetic workloads against database systems under various load conditions.
• Hardware Performance Benchmarking - Provides standardized tests to measure the performance limits of CPU, memory, and I/O subsystems.
• Performance Profiling - Measures the performance limits of CPU, memory, and I/O subsystems using standardized computational tasks.
• System Resource Stressing - Evaluates the performance ceilings of CPU, memory, and I/O subsystems using standardized computational tasks and system benchmarks.
• System Performance Benchmarking Tools - Provides a comprehensive performance testing tool for measuring the throughput and latency of database systems and hardware components.
• System Resource Benchmarking - Evaluates the performance of the operating system's filesystem and thread scheduling under load.
• Custom Benchmark Scenarios - Allows users to define complex benchmark scenarios by implementing scripts that simulate specific application behaviors.
• Embedded Lua Scripting - Uses an embedded Lua interpreter to define custom workload logic and benchmark scenarios without recompiling.
• Tail Latency Measurement - Tracks individual request durations to compute statistical distributions and tail latency metrics for performance analysis.
• Request Performance Metrics - Calculates request rates and latency percentiles to determine how a system performs under load.
• System Performance Analyzers - Measures the efficiency of operating system components, including filesystem operations and thread scheduling, under various load conditions.
• Performance Histograms - Generates histograms and detailed execution statistics to gain insights into system behavior and bottleneck analysis.
• Probabilistic Traffic Generation - Mimics real-world traffic by generating random data based on Zipfian, Gaussian, and Pareto probability distributions.
• Workload Scenario Modeling - Creates scriptable benchmark scenarios and traffic patterns using mathematical distributions to mimic real world application behavior.
• Benchmarking Tools - Provides a modular, multi-threaded benchmarking framework.

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