By Dmitri Korotkevitch
Professional SQL Server In-Memory OLTP is a deep dive into some of the most major gains of SQL Server 2014 – aid for In-Memory on-line Transaction Processing. The publication describes the structure and internals of the In-Memory OLTP Engine and explains find out how to enhance, install, and keep structures utilizing it. With it you could dramatically raise transactional throughput to deal with hundreds of thousands of transactions in step with moment helping thousands of consumers. Dmitri Korotkevitch is the five-star writer of professional SQL Server Internals, and now brings his related mixture of transparent considering and deep services to the query of the way to acknowledge the possibilities and make the most of Microsoft's In-Memory OLTP function set in SQL Server 2014.
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Additional resources for Expert SQL Server in-Memory OLTP
I will discuss nonclustered indexes in details in Chapter 5. Introduction to the Multiversion Concurrency Control As you already noticed in Figure 3-3, every row in a memory-optimized table has two values, called BeginTs and EndTs, which define the lifetime of the row. A SQL Server instance maintains the Global Transaction Timestamp value, which is auto-incremented when the transaction commits and is unique for every committed transaction. BeginTs stores the Global Transaction Timestamp of the transaction that is inserted a row, and EndTs stores the timestamp of the transaction that deleted a row.
The order of outputs in the figure corresponds to the order in which the tests were run: on-disk table inserts, inserts into memory-optimized tables through the interop engine, and natively compiled stored procedures, respectively. info Chapter 2 ■ In-Memory OLTP Objects Figure 2-8. Transaction log write statistics during the tests As you see, in interop mode In-Memory OLTP inserted about eight times more data; however, it used just three times more space in the transaction log than with ondisk tables.
Data modification, on the other hand, requires an exclusive (X) latch, which prevents other readers and writers from accessing the data page. info Chapter 2 ■ In-Memory OLTP Objects ■■Note Even though latches are conceptually very similar to locks, there is a subtle difference between them. Locks enforce logical consistency of the data. For example, they reduce or prevent concurrency phenomena, such as dirty or phantom reads. Latches, on the other hand, enforce physical data consistency, such as preventing corruption of the data page structures.
Expert SQL Server in-Memory OLTP by Dmitri Korotkevitch