#SAMSUNG TRANSACTION PROCESSING SYSTEM UPDATE#
#SAMSUNG TRANSACTION PROCESSING SYSTEM FULL#

Gartner believes that HTAP systems can address the four major drawbacks of this traditional approach: First, for analytics in HTAP, data doesn't have to move from operational databases to data warehouses.

#SAMSUNG TRANSACTION PROCESSING SYSTEM FULL#

A preview of SQL Server 2014 will be available by the end of the month and the full production version will be available for purchase in early 2014.HTAP systems are now commercially available, from major vendors such as SAP with the SAPHANA platform, and smaller startups such as VoltDB, NuoDB, Clustrix, and MemSQL. More details will be given about the new features in SQL Server 2014 in the months ahead. “For them, each transaction is money,” Kelly said. Kelly pointed to one early user of the technology, online gaming company Bwin, which by updating to SQL Server 2014 managed to increase the number of transactions on its SQL Server-based Web application, from 15,000 transactions per second to 250,000 transactions per second.

#SAMSUNG TRANSACTION PROCESSING SYSTEM UPDATE#

“With our OLTP engine, you can update things in real time.” “There’s not the performance to update it in real time,” Kelly said. This sort of query can take time and sometimes is not accurate, given that the inventory database can only be updated once a day through a batch processing system. SQL Server 2012 then borrowed this columnar processing technique for its own use.Īs an example of how the new SQL Server could speed performance, Kelly explained how a retail chain could benefit from this technology.Ī retail store keeps an inventory of all the products on the shelves, which a sales clerk can consult on a computer to see if an item is in stock.

The Microsoft Parallel Data Warehouse uses a similar technology for large-scale data analysis and PowerPivot, introduced in Excel 2010, uses an in-memory compressed columnar processing to parse large data sets in memory.

This is not Microsoft’s first foray into in-memory technologies. Kelly called this technique “optimistic concurrency.” Rather, the RDMS writes the updated row to a new location and leaves a pointer to the new location in the old row, where it can be followed by any query that takes place at the same time as the update. “So each process can hit any row it wants, and the only time there is a conflict is when two processes hit the same row at the exact same instant,” Kelly said.Įven individual rows aren’t locked when they are being written to. The OLTP Engine doesn’t lock data by pages. What Hekaton does, Kelly explained, is move the hot data, or data that gets lots of reads and writes, into a server’s working memory. Hekatonspeeds transaction times through, among other techniques, a more judicious use of memory. With most commercial OLTP systems, however, the cost of putting all the database tables in working memory would be prohibitively expensive. OLTP systems could perform much faster if the database tables were stored in a server’s working memory. Traditionally, each time an OLTP system conducts a transaction, such as books an order for a travel agency, the results are written to, or read from, a row of data residing on a database table on a hard drive. In addition to speeding transactional system performance, SQL Server 2014 could also cut hardware costs, because the efficiencies wrought from the new technologies would reduce the computational requirements, or number of servers, to execute a given workload, Kelly said. In Microsoft labs, Hekaton has been shown to cut transaction times by 50 times, and customers who have tried early versions of the technology have found a 16-fold percent improvement in performance, according to Eron Kelly, Microsoft SQL Server general manager, in a follow-up interview with the IDG News Service.

Samsung transaction processing system