As a SQL Server DBA or developer here is what you should know about memory-optimized tables (in-memory tables):
- Introduced in SQL Server 2014
- Primary store is main memory, second copy maintained on disk to achieve durability
- Handled by in-memory OLTP, a memory optimized database engine integrated with SQL Server engine
- Fully durable, ACID transactions. Supports delayed durability for better performance (risk losing committed transaction that have not been saved to disk)
- SQL Server supports non-durable memory optimized tables (not logged and data not persisted to disk) – no recovery option in case of disk crash
- No-lock concurrency eliminates blocking and achieves better performance. Concurrency handled through row versioning.
- Not organized in pages and extents, memory-optimized tables are a collection of row versions and a row version is addressed using 8-byte memory pointers
- Data in memory-optimized tables can be accessed:
- (most efficient) Through natively compiled SPs (the limitations is that natively compiled SPs can only access in-memory tables)
- Through interpreted t-sql inside a standard SP or through ad-hoc t-sql statements.
Schema and Data Compare tools support comparing and synchronizing in memory tables.
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