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Big, Fast, Time-Series in MySQL

ScaleDB: real-time analytics across stream data. It inserts 1.5M rows/second and queries process 15M rows/second. An ideal complement to Stream Processors.

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Big, Fast, Time-Series in MySQL | scaledb.com Reviews
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Big, Fast, Time-Series in MySQL | scaledb.com Reviews

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ScaleDB: real-time analytics across stream data. It inserts 1.5M rows/second and queries process 15M rows/second. An ideal complement to Stream Processors.

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Home - ScaleDB Extending MySQL for Volume and Velocity

Performance & Scale. MySQL & Modern Workloads. When to Use ScaleDB. Products & Support. Internet of Things Database. News & Events. Real-Time Insights from Massive Time-Series Datasets, Using MySQL. Billions of rows. Petabytes of data. Insert, query and join millions of. Keep the MySQL you love: SQL, Joins, Ad-Hoc Queries. And the people and tools you already have. MariaDB (a version of MySQL) is one of the DBMS front-ends to ScaleDB’s high-velocity engine. Handles Big Fast Data. All Your Favorite Tools.

wiki.scaledb.com wiki.scaledb.com

start [ScaleDB Documentation Portal]

Managing Stream Data with ScaleDB’s Streaming Table. ScaleDB 16.04 Documentation. Five Minutes Intro to ScaleDB. ScaleDB 16.04 Manual. ScaleDB 16.04 Release Notes. ScaleDB 16.04 Change Log. Changes in ScaleDB 16.04.00 (2016-03-25). Changes in ScaleDB 16.04.01 (2016-05-09). Go to our website. The previous release is 15.10 - the documentation is available here. The next planned release is 16.10 - the documentation is available here. Last modified: 2016/05/07 10:17 (external edit).

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Partners - ScaleDB Extending MySQL for Volume and Velocity

http://www.scaledb.com/partners.php

Performance & Scale. MySQL & Modern Workloads. When to Use ScaleDB. Products & Support. Internet of Things Database. News & Events. ScaleDB’s primary software partners are the providers of the two databases we currently support: MySQL and MariaDB. ScaleDB uses standard and open APIs to interface to both of these products and we do not change any code in the products themselves, ensuring future compatibility. Services Partners include developers, systems integrators and consultants who have experience wit...

2

Big SQL - ScaleDB Extending MySQL for Volume and Velocity

http://www.scaledb.com/big-sql.php

Performance & Scale. MySQL & Modern Workloads. When to Use ScaleDB. Products & Support. Internet of Things Database. News & Events. What is Big SQL (or BigSQL)? Explosive Growth of Data Drives Big SQL Market. Products in the Big SQL Market. What is Big SQL (or BigSQL)? Explosive Growth of Data Drives Big SQL Market. Modern workloads will increasingly span large clusters of low-cost, low-power machines operating on the data in parallel. Corporate Adoption of Hadoop. Lack of an ad hoc structured interface.

3

White Papers - ScaleDB Extending MySQL for Volume and Velocity

http://www.scaledb.com/resources/white-papers.php

Performance & Scale. MySQL & Modern Workloads. When to Use ScaleDB. Products & Support. Internet of Things Database. News & Events. Data Sheet: MySQL for High Velocity High Volume Time Series Data. Describes how ScaleDB extends MySQL to manage Time Series Data. White Paper: ScaleDB Technical Overview. The technology behind ScaleDB’s highly available, elastic-scale MySQL clustering solutions. White Paper: Managing Operational Analytics at a Low TCO. Website designed and developed by Miracle Technologies.

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High Velocity Data - ScaleDB Extending MySQL for Volume and Velocity

http://www.scaledb.com/high-velocity-data.php

Performance & Scale. MySQL & Modern Workloads. When to Use ScaleDB. Products & Support. Internet of Things Database. News & Events. What is High-Velocity Data? What is Driving the Explosion in High-Velocity Data? Data generated by humans has been growing exponentially for quite some time, fueling the growth of companies like EMC and Netapp. In fact, 90% of the world’s data was created in the last 2 years. What are the Sources of High-Velocity Data? Log Files: Devices, websites, database, any number of te...

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Big Data - ScaleDB Extending MySQL for Volume and Velocity

http://www.scaledb.com/big-data.php

Performance & Scale. MySQL & Modern Workloads. When to Use ScaleDB. Products & Support. Internet of Things Database. News & Events. What is Big Data? To this list processing Big Data uncovers rich relationships between that data except I cannot think of a V word that says richly linked. To deal with the onslaught of Big Data, companies are turning to new tools and new business processes. Big Data Business Processes. What Role do Databases Play in Big Data? Sharding is one way to scale your data handling ...

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doc:1604:adminman:toc [ScaleDB Documentation Portal]

http://wiki.scaledb.com/doc:1604:adminman:toc

Managing Stream Data with ScaleDB’s Streaming Table. ScaleDB 16.04 Administration and User Manual. Recommended System and Network Specification. Software Requirements, Cloud Installation. Installing ScaleDB ONE from a tarball. Installing ScaleDB ONE from an Ubuntu/Debian Package. Installing ScaleDB ONE from a CentOS/Red Hat Package. Installing ScaleDB ONE as VirtualBox Appliance. Installing ScaleDB Cluster from a tarball. Installing ScaleDB Cluster from a Ubuntu/Debian Package. ScaleDB vs. InnoDB.

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doc:1604:adminman:streamingtables [ScaleDB Documentation Portal]

http://wiki.scaledb.com/doc:1604:adminman:streamingtables

Managing Stream Data with ScaleDB’s Streaming Table. Inserting Into Streaming Tables. Operations Not Supported on Streaming Tables. A Streaming table is a table optimized to manage an unbounded stream of time series data that must be loaded into the database at high velocity. A ScaleDB Cluster can be configured to optimize inserts and queries of high-velocity streaming data by leveraging specialized indexes and query mechanisms. A System Range Key. A User Range Key. Columns are used to index attributes s...

wiki.scaledb.com wiki.scaledb.com

doc:1604:adminman:clusterconfigparam [ScaleDB Documentation Portal]

http://wiki.scaledb.com/doc:1604:adminman:clusterconfigparam

Managing Stream Data with ScaleDB’s Streaming Table. This page present the list of the configuration parameters applicable ScaleDB servers (Storage node, Database node, Cluster Manager node). Some parameters are shared by multiple servers and others are only relevant to one type of server. The server types are annotated as follows:. Storage nodes (also called Cache Accelerated Server). Cluster Manager nodes (also called ScaleDB Lock Manager). Files and Directories Initialization. The startup script (.

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MySQL-Python: April 2007

http://mysql-python.blogspot.com/2007_04_01_archive.html

Developer blog for MySQL Python project. Monday, April 30, 2007. The 2007 MySQL Conference is over, and I finally made it back home. I have some notes on some of the sessions, which really aren't that great, so if you want to see what you missed, you should read Planet MySQL. But I will give some of the highlights. There's a lot of new development around storage engines. IBM announced a partnership with MySQL AB. To create a DB2 storage engine, but so far this is only on their i5/OS mainframe platform.

scalemysql.com scalemysql.com

Handlersocket Part III / examples / Perl | Scalemysql

http://www.scalemysql.com/blog/2013/11/12/handlersocket-syntax-examples

Handlersocket Part III / examples / Perl. 8211; introduction to handlersocket. 8211; handlersocket syntax Perl/PHP. 8212;————————————. Res = $hs- execute single(0, ' ', ['mike','mike@101.com','2011-05-03'] , 1, 0); die $hs- get error() if $res! Let’s insert four more records as a ‘batch’. For my $res (@$res) { die $hs- get error() if $res- [0]! 0; shift(@$res);. Note: Limit and offset do not affect the insert. For reading records, you’ll want to additionally do something with the resulting array reference.

scalemysql.com scalemysql.com

haproxy | Scalemysql

http://www.scalemysql.com/blog/category/haproxy

This entry was posted in haproxy. November 5, 2012. Is mysql/innodb good for high volume inserts? Numa system performance issues – more than just swapping to consider. Infinidb 4.0.2 review. Handlersocket Part III / examples / Perl. Handlersocket Part II / syntax Perl/PHP. On Is mysql/innodb good for high volume inserts? Admin on Is mysql/innodb good for high volume inserts? On Is mysql/innodb good for high volume inserts? Admin on Is mysql/innodb good for high volume inserts? Proudly powered by WordPress.

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Uncategorized | Scalemysql

http://www.scalemysql.com/blog/category/uncategorized

Is mysql/innodb good for high volume inserts? So a quick review of each of the three structures,. We’ve done up to 100,000 q/s primarily inserts into mysql/innodb on our production machines using a b-tree data structure, 32-core CPUs with multiple secondary indexes, into a 3TB table, and that’s without using nosql api’s such as handlersocket or memcached (we do use stored procedures). That matches or surpasses most benchmarks for inserts I’ve seen, regardless of the product. The math works out to be,.

scalemysql.com scalemysql.com

my version of consistent hashing | Scalemysql

http://www.scalemysql.com/blog/2012/10/17/naive-vs-consistent-hashing

My version of consistent hashing. When sharding, a common method of distributing your key randomly is to use some sort of hashing algorithm in your code, which is not time dependent, key dependent (i.e. evens, odds), etc. You also want to keep in mind the work in reallocating data if you either add or remove shards. The is a good amount of material on the subject,. Here are a few links,. Http:/ www.paperplanes.de/2011/12/9/the-magic-of-consistent-hashing.html. And the original paper,. Shard1 1, 5, 9, 13 ...

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Global Big Data Conference

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4th Annual Global Big Data Conference. Aug 30 to Sep 01 - 2016 Santa Clara, USA. Sep 30 to Oct 02 - 2016 Denver, CO. Oct 07 - 09, 2016 Atlanta, USA. Dec 09 - 11, 2016 Tampa, USA. 4th Annual Global Big Data Conference. Aug 30 to Sep 01 - 2016 Santa Clara, USA. Sep 30 to Oct 02 - 2016 Denver, CO. Oct 07 - 09, 2016 Atlanta, USA. Dec 09 - 11, 2016 Tampa, USA. 4th Annual Global Big Data Conference. Aug 30 to Sep 01 - 2016 Santa Clara, USA. Sep 30 to Oct 02 - 2016 Denver, CO. Oct 07 - 09, 2016 Atlanta, USA.

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Head in the Clouds

Head in the Clouds. Monday, August 3, 2015. ScaleDB is Hiring a Senior Software Engineer for DBMS Kernel. Looking for C/C experience, ideally with experience with database server internals. You will design and implement a next generation database storage engine. You will have ownership for one or more modules of the core engine, such as: transaction management, index access, lock management, buffer management, log writer, and similar DBMS modules. 5 years experience in large enterprise system development.

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Big, Fast, Time-Series in MySQL

Internet of Things Database. Ad Hoc Queries Evaluate. 10’s of Millions of Rows/Second. 1,500,000 Rows/Second. Say NO to Batch Processing. Batch is Old Schoollike Mainframes and Punchcards. Imagine Google Queries Taking 1 Day.It’s Insane! ScaleDB Enables real-Time Ad Hoc Queries. Fast Data. Fast Results. Fast Insight. Do you have too much data for MySQL? Is your data streaming in too fast for MySQL? Do your queries take too long? Do you need to store and manipulate time-series data? October 15, 11:00AM PDT.

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