|By Ranko Mosic||
|January 2, 2013 05:00 AM EST||
(Please refer to the following article: Oracle 12c In-Memory Database is Out - Hardly Anybody Notices for update on Oracle 12c databases)
Contemporary large servers are routinely configured with 2TB of RAM. It is thus possible to fit an entire average size OLTP database in memory directly accessible by CPU. There is a long history of academic research on how to best utilize relatively abundant computer memory. This research is becoming increasingly relevant as databases serving business applications are heading towards memory centric design and implementation.
If you simply place Oracle RDBMS's files on Solid State Disk, or configure buffer cache (SGA) large enough to contain the whole database, Oracle will not magically become an IMDB database, nor it will perform much faster. In order to properly utilize memory, IMDB databases require purposely architected, configured, balanced and optimized hardware (CPU, RAM, Flash, busses, cluster interconnect), as well as RDBMS software written with RAM as center point in mind. IMDB's main premise is that data primarily resides in RAM and is only persisted to disk for protection and auxiliary functions. Data structures, methods and processes typically associated with an RDBMS (index types, join methods, data layout, internal data flows and processing) need to be (re)designed with RAM-centric axiom in mind.
There are a few fully functional IMDB products available on the market today. SAP Hana is one of the most recent additions to IMDB class of products.
SAP Hana is a hybrid row/columnar data store. It is designed under the assumption that the most of operations ( either OLTP or OLAP ) are reading ( as opposed to writing ) the data. Hana aspires to serve equally well both OLTP and OLAP workloads since it considers them similar in terms of workload characteristics.
Hana's row oriented tables are always in memory, while column tables are loaded to memory on demand. Column store data is dictionary encoded and compressed and thus more expensive (in terms of system resources) for inserts and updates than row store. In order to handle relatively demanding writes to column store, Hana's database memory is logically split into main store and delta store. Main store is optimized for reads and efficient memory consumption. Writes to columnar data are handled via delta storage which has basic compression level and is optimized for write. Cache Sensitive B+ tree (CSB+) used for faster search on delta. Delta and main store are merged automatically or manually. The need for delta store effectively halves size of database that Hana can handle since delta store must equal size of the main store.
While SAP Hana column store performance is in some cases is spectacular (aggregations over small number of columns), reconstruction of large rows is fairly slow because of the need to reconstruct rows.
It is possible to build clusters with dozens of nodes (SAP recently tested 100 node, 100 TB RAM cluster), where data is distributed across nodes.
In Hana's clustered, distributed database, all data is not directly accessible by a single CPU (only local RAM is directly addressable) which has negative performance implications.
There are other memory centric databases available on the market today - IBM Solid DB, Oracle Times Ten, Volt DB. We expect that major vendors like Oracle further modify their mainstream RDBMS to adjust to increased role of RAM and other types of memory in modern hardware.
There's a lot of things we do to improve the performance of web and mobile applications. We use caching. We use compression. We offload security (SSL and TLS) to a proxy with greater compute capacity. We apply image optimization and minification to content. We do all that because performance is king. Failure to perform can be, for many businesses, equivalent to an outage with increased abandonment rates and angry customers taking to the Internet to express their extreme displeasure.
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SYS-CON Events announced today that 910Telecom will exhibit at the 19th International Cloud Expo, which will take place on November 1–3, 2016, at the Santa Clara Convention Center in Santa Clara, CA. Housed in the classic Denver Gas & Electric Building, 910 15th St., 910Telecom is a carrier-neutral telecom hotel located in the heart of Denver. Adjacent to CenturyLink, AT&T, and Denver Main, 910Telecom offers connectivity to all major carriers, Internet service providers, Internet backbones and ...
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Right off the bat, Newman advises that we should "think of microservices as a specific approach for SOA in the same way that XP or Scrum are specific approaches for Agile Software development". These analogies are very interesting because my expectation was that microservices is a pattern. So I might infer that microservices is a set of process techniques as opposed to an architectural approach. Yet in the book, Newman clearly includes some elements of concept model and architecture as well as p...
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Modern organizations face great challenges as they embrace innovation and integrate new tools and services. They begin to mature and move away from the complacency of maintaining traditional technologies and systems that only solve individual, siloed problems and work “well enough.” In order to build...
This complete kit provides a proven process and customizable documents that will help you evaluate rapid application delivery platforms and select the ideal partner for building mobile and web apps for your organization.
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Thomas Bitman of Gartner wrote a blog post last year about why OpenStack projects fail. In that article, he outlined three particular metrics which together cause 60% of OpenStack projects to fall short of expectations: Wrong people (31% of failures): a successful cloud needs commitment both from the operations team as well as from "anchor" tenants. Wrong processes (19% of failures): a successful cloud automates across silos in the software development lifecycle, not just within silos.
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[session] Architecting for the Cloud By @RagsS | @CloudExpo @IBMBluemix #Cloud #Docker #Microservices
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Let's just nip the conflation of these terms in the bud, shall we?
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They are not.
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