Express - Fast or direct
Enhanced Definition
In the context of IBM mainframe systems and z/OS, "Express" or "Fast/Direct" refers to specialized architectural components, processing modes, or data access methods designed to achieve exceptionally high transaction rates, low latency, and efficient resource utilization for critical workloads. These mechanisms often bypass standard processing overheads or optimize data paths to deliver superior performance for specific application types.
Key Characteristics
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- Optimized Data Structures: Often employs specialized data organizations, such as Data Entry Databases (DEDB) in IMS Fast Path, which are optimized for direct, high-speed access and update, often residing in memory.
- Reduced Overhead: Minimizes traditional system overheads like extensive logging, complex locking, and detailed scheduling by using simplified recovery, commit protocols, and dedicated processing paths.
- In-Memory Processing: Leverages main memory extensively for data buffering, control blocks, and even entire data segments (e.g., DEDB areas can be resident in memory) to significantly reduce I/O latency and improve access times.
- High Throughput: Engineered to handle extremely high volumes of transactions per second, making them suitable for mission-critical, high-frequency applications where speed is paramount.
- Dedicated Resources: May utilize dedicated system resources, specific processor types (like zIIPs for eligible workloads), or specialized transaction paths to ensure consistent performance and isolation from other, less critical workloads.
- Streamlined Recovery: Often implements simplified or area-level recovery mechanisms, which can be faster and less disruptive than full database recovery, albeit with specific design considerations.
Use Cases
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- High-Volume Online Transaction Processing (OLTP): Ideal for applications requiring millions of transactions per hour, such as banking ATM networks, credit card authorizations, or stock trading systems, often implemented using IMS Fast Path.
- Real-time Data Updates: Scenarios where immediate updates to critical
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