Table of Contents
Memory-optimized tables and indexes in In-memory optimized tables are supported to parallel scan. This improves the performance of queries. Heap scan is also supported which can be performed in parallel which is scanning of all the rows in a table using the in-memory heap data structure used for storing the data.
a.UNIQUE constraints and indexes are supported.
b.FOREIGN KEY references between memory-optimized tables are supported.
c.CHECK constraints are supported.
d. NULL values are allowed
e.Trigger’s are supported.
In-Memory OLTP – The storage format for memory-optimized tables is changed between SQL Server 2014 and 2016. When we upgrade our SQL Server or attach a Database from 2014 to 2016 orrestore from SQL Server 2014 to 2016, the new storage format is serialized and the database is restarted once during database recovery.
In-Memory OLTP – ALTER TABLE is now logged which runs in parallel by only writing to Log the metadata changes. This greatly reduces log IO and Improves performance.
In-Memory OLTP – Statistics for memory-optimized tables are now updated automatically. In SQL Server 2016, sampling method to collect statistics is now supported which can avoid the more expensive old full scan method.
a.ADD and DROP indexes. Change bucket_count of hash indexes.
b.Make schema changes: add/drop/alter columns; add/drop constraint.
A memory-optimized table can now have several columns whose combined lengths are longer than the length of the 8060 byte page. say 3 or 4 of Varchar(4000) by storing it off-row
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