As the name of the technology implies, the In-Memory OLTP Engine is optimized for OLTP workloads. Some examples of best-suited workloads are:
- Staging tables (i.e. DW)
- High data insert rate (i.e. smart metering)
- Low latency execution (i.e. investment trading)
When used in such scenarios, the performance gain of using the In-Memory OLTP Engine can be huge.
Memory-optimized tables store their data into memory using multiple versions of each row’s data. This technique is characterized as “Non-blocking multi-version optimistic concurrency control” and eliminates both Locks and Latches thus achieving breakthrough performance.
The list of main features of memory-optimized tables are:
- Rows in the table are read from and written to memory
- The entire table resides in memory
- Non-blocking multi-version optimistic concurrency control
- Durable & non-durable
- A second copy maintained on disk for durability (if enabled)
- Data in memory-optimized tables is only read from disk during database recovery
- Interoperable with disk-based tables
Another feature of the In-Memory OLTP Engine is “natively compiled stored procedures”. A natively-compiled stored procedure is a SQL Server object that can access only memory-optimized data structures such as memory-optimized tables, table variables, etc. The main features of a natively-compiled stored procedure are:
- It is compiled to native code (DLL) upon its creation (the interpreted stored procedures are compiled at first execution)
- Aggressive optimizations take time at compile time
- Can only interact with memory-optimized tables
The call to a natively compiled stored procedure is actually a DLL Entry Point which is something that offers very fast execution times!
When you properly combine memory-optimized tables with natively compiled stored procedures for heavy workloads like DW ETL processes, high data insert rate processes and processes that demand low latency execution you can expect some serious speedups.
Subsequent posts will dive into the In-Memory OLTP Engine of SQL Server 2014 and illustrate via different examples the benefits of using this technology.
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