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SQL Server new Features-- in-memory OLTP (in-memory OLTP )OverviewIn-Memory OLTP (project "Hekaton") is a completely new database engine component that is fully integrated into SQL Server. Optimized for in-
for memory-optimized tables are much more efficient than disk-based tables, so the wait time is shorter. And the data read from disk never waits, and there is no wait for the lock on the data row.Locally compiled stored proceduresYou get the best execution performance when you use natively compiled stored procedures that have memory-optimized tables. However, there are a number of
statements in the quickest possible way, including accessing data in memory-optimized tables. However, these stored procedures have more limitations than Transact-SQL statements. There are also restrictions on data types and collations that can be accessed and processed in a locally compiled stored procedure. For a complete list of supported Transact-SQL statements, data types, and allowed operators, see t
optimistic concurrency control that does not require locks or latches during processing. Memory-Optimized tables for all in-memory OLTP must have at least one index, and all accesses need to be indexed. Memory-optimized tables in in-memory
In today's article, I want to discuss in detail how the transaction logs in in-memory OLTP are written to the transaction log. As we all know, in-memory OLTP provides you with 2 persistence (durability) options for your memory-optimized table (Optimized Tables): Sch
In-memory OLTP is about everything in memory. But that's only half right. In today's article I want to show you that when you read data from memory, even in-memory OLTP can cause disk activity. The problem here is the combination
Label:New improvements after in-memory OLTP relay CTP3 in SQL Server 2016Translated from: https://blogs.msdn.microsoft.com/sqlserverstorageengine/2016/03/25/ whats-new-for-in-memory-oltp-in-sql-server-2016-since-ctp3/SQL Server 2016 is making a series of enhancements to the In-memo
According to Microsoft, because the memory database uses Optimistic Concurrency Control, transactions do not need to be locked to lock resources to ensure consistency. Microsoft believes that there are very few conflicts and failures in the transactions in the memory database, so it is assumed that all parallel transactions are successful. Therefore, writing does not block reading and writing. The followin
First, sysbench-0.5 installation Software Download Address: http://download.csdn.net/detail/zqtsx/8368857 or email to "pick up the Sky Star" get (PDF document download address http://download.csdn.net/ detail/zqtsx/8368939) Tar zxvf sysbench-0.5tar.gzCD sysbench-0.5 (unlike other packages is uncompressed, the default does not have configure files, so you need to execute the autogen.sh file before you can use./configure to compile the installation)./autogen.sh the following figure: To execute a
TSQL statements are not available in SQL Server 2014 and are now available on 2016: Supports UNIQUE constraints and indexes Support for foreign keys between memory-optimized tables A foreign key can only refer to a primary key and cannot be created with a unique Support for CHECK constraints Non-unique indexes support NULL in key Support for triggers on memory
I. Limitations of 4 GB address space First, we must first understand two concepts The first is "physical memory ". Generally, physical memory refers to the memory stick installed on the motherboard. Otherwise, in computer systems, physical memory includes not only the
/*** Function: Given an array containing 1 to n integers, n maximum is 32000, the array may contain duplicate values, and the value of n is variable.* If only 4KB of memory is available, how to print all the duplicated elements in the array.*//** * Idea: 4KB up to 8*4*2^10 a bit. Bigger than 32000. Creates a bit vector that contains 32,000 bits, where each bit represents an integer. * Duplicate elements are encountered and printed out. * @param array
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