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What are the considerations for implementing memory optimized or in memory tables?
For details see Optimize Performance using In-Memory Technologies in SQL Database.
- Ensure compatibility level >= 130.
- Elevate to SNAPSHOT.
- Create an optimized FILEGROUP.
- Create a memory-optimized table.
- Create a natively compiled stored procedure (native proc)
- Execute the native proc.
What is memory optimized tables in SQL Server?
What are Memory Optimized Tables? A Memory Optimized Table, starting in SQL Server 2014, is simply a table that has two copies, one in active memory and one durable on disk whether that includes data or just Schema Only, which I will explain later.
How do I delete a memory optimized table in SQL Server?
Just use DROP TABLE , there is one caveat, Memory-optimized tables and natively compiled stored procedures cannot be created or dropped if there is a server or database trigger for that DDL operation. Remove the server and database triggers on CREATE / DROP TABLE and CREATE / DROP PROCEDURE .
How is memory optimized in SQL Server 2016?
SQL Server 2016 Memory-Optimized Tables – The Checkpoint operation. The SQL Server Database Engine stores data changes in the buffer pool, in memory, before applying it to the database files, for I/O performance reasons.
Are there memory limitations for memory optimized tables?
Memory-optimized tables and natively compiled stored procedures support only a subset of Transact-SQL features. Starting with SQL Server 2016, and in Azure SQL Database, there are no limitations for collations or code pages that are specific to In-Memory OLTP. The primary storage for memory-optimized tables is the main memory.
Why are memory optimized indexes used in SQL Server?
Memory-optimized nonclustered indexes have better performance than disk-based indexes. Starting in SQL Server 2016, the query plan for a memory-optimized table can scan the table in parallel. This improves the performance of analytical queries. Hash indexes also became scannable in parallel in SQL Server 2016.
Can a memory optimized table be scanned in parallel?
Starting in SQL Server 2016, the query plan for a memory-optimized table can scan the table in parallel. This improves the performance of analytical queries. Hash indexes also became scannable in parallel in SQL Server 2016. Nonclustered indexes also became scannable in parallel in SQL Server 2016.