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new database engine component fully integrated into SQL Server 2014 optimized for OLTP workloads accessing memory resident data achive improvements.

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Presentation on theme: "new database engine component fully integrated into SQL Server 2014 optimized for OLTP workloads accessing memory resident data achive improvements."— Presentation transcript:

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3 new database engine component fully integrated into SQL Server 2014 optimized for OLTP workloads accessing memory resident data achive improvements in performance and reduction in processing

4 Client App Natively Compiled SPs and Schema TDS Handler and Session Management In-Memory OLTP Compiler Tables Indexes Memory Optimized Tables & Indexes Tables Indexes Buffer Pool for Tables & Indexes Query Interop Parser, Catalog, Optimizer Interpreted T-SQL Query Execution T3T1T2

5 checkpoint files all data is stored in memory, all the time checkpoint files for recovery purpose – append only max # of check point files = 4000, max size of a check point file = 128 MB theoretical maximum = 512 GB, supported maximum = 256 GB

6 transaction log use same transaction log as disk-based tables use less log bandwidth; do not log index operations or UNDO records

7 recovery time during database recovery all data needs to be read from disk into memory checkpoint files uses streaming IO main factors: speed of sequential IO and bandwidth of HBA; no need for SSD recovery time objective (RTO) on restart determine IO speed requirement spread checkpoint files over multiple LUNs; support for parallel load of checkpoint files

8 create table has similar syntax for creatind disk-based tables LOB data not allowed row limit of 8060 bytes with no off-row data DURABILITY = SCHEMA_AND_DATA or SCHEMA_ONLY limitations: no DML triggers, no foreign keys, no IDENTITY

9 indexes not stored as B-trees hash indexes # buckets >= expected cardinality of the index key column range indexes – not available in CTP1 are not stored on disk

10 demo create memory-optimized OLTP database, tables, and indexes

11 t-sql dml select, insert, update, delete almost transparent to users that they are working on memory-optimized tables client applications connect through the TDS handler interop capabilities – interpreted T-SQL can access memory-optimized tables

12 demo select, insert, update

13 locks optimistic multi-version concurrency control no locks acquired; no waiting because of blocking no waits for reading data from disks or locks on data rows if a transaction insert a row with same key as another open transaction error if a transaction updates same row as another open transaction error

14 demo locking: memory-optimized tables vs disk-based tables

15 natively compiled stored proc access memory-optimized tables: interop (interpreted T-SQL) or natively compiled stored procs ad-hoc queries interop access both memory-optimized and disk-based tables interop best execution performance natively compiled stored procedures natively compiled stored procedures can only access memory-optimized tables

16 demo natively compiled stored procedures and interop

17 summary database, checkpoint files & transaction log recovery time tables, indexes & dml locks natively compiled stored procedures

18 references blogs.msdn.com/b/sqlcat/archive/2013/06/25/sql-server-in-memory-oltp-internals-overview-for-ctp1.aspx blogs.technet.com/b/dataplatforminsider/archive/tags/in_2d00_memory/ research.microsoft.com/apps/pubs/default.aspx?id= blogs.msdn.com/b/arvindsh/archive/2013/07/03/sql-2014-in-memory-oltp-hekaton-training-videos-and-white-papers.aspx sqlblog.com/blogs/davide_mauri/archive/2013/08/16/testing-hekaton-some-results.aspx thomaslarock.com/2013/08/sql-server-2014-in-memory-oltp-hekaton-useful-links blogs.msdn.com/b/carlnol/archive/2013/09/16/implementing-lob-storage-in-memory-optimized-tables.aspx msdn.microsoft.com/en-us/library/dn133186(v=sql.120).aspx mattsql.wordpress.com/2013/07/08/in-memory-oltp-with-sql-server-2014/

19 Evaluation Create a Text message on your phone and send it to 1919 with the content: DB I liked it a lot Session Code David Performance (1 to 5) Match of technical Level (1 to 5) Relevance (1 to 5) Comments (optional) Evaluation Scale: 1 = Very bad 2 = Bad 3 = Relevant 4 = Good 5 = Very Good! Questions: Speaker Performance Relevance according to your work Match of technical level according to published level Comments

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