…- Tokutek, LevelDB, RocksDB, HBase, Cassandra. We also get reports of amazing performance. I think there is too much focus on peak performance and not enough on predictable performance and manageability."
In my humble opinion, this is the current state of the MySQL industry: learning, developing, and establishing how to manage MySQL. Although the new WebScaleSQL collaboration is focused prima facie on performance at scale, as Mark said in his blog post, "Predictable …
…management, and have the state replicated in the backup region. That or sidestepin your region to a team of stateless load balancers that terminate .
without EBS, says : By having good replication, either hand rolled or built in.to a question about how to run databases
Atwe use Cassandra and store all data on local instance storage. We don't use EBS for databases.
Counting at scale in a distributed environment is surprisingly hard . And it's a subject we've covered before in various ways: Big Data Counting: How to count a billion distinct objects using only 1.5KB of Memory , How to update video views count effectively? , Numbers Everyone Should Know (sharded counters) .
Cequel - Ruby ORM for Cassandra.
AdequateRecord Pro: Like - A preview of some speed improvements coming in , but more adequate 4.2.
Introducing the Revamped Server UI - At , that is.
Radiation-hardened Quine - A tour de force of useless ruby.
"In theory, theory and practice are the same. In practice, they are not." —
The original CAP theorem and gave rise to the recent crop of distributed systems: Cassandra, , et al. These systems are generally where C can be tuned to provide more availability than a single system could provide, i.e. they do their best to provide CAP according to the application's needs. For instance, …paper created a wave of interest in the
Details and summary design pattern
Figure and figcaption design pattern
§ Start the morning right with a dose of Responsive Cereal .
§design geekery. Coding Cards .
§ BigBorat :
When choose database remember Cassandra good in write,good in read, good in delete. #
We tend to think of working hard as a good thing. We value a strong work ethic and determination is the face of adversity. But if you are working harder than you should to get the same results, then it's not a virtue, it's a waste of time and energy. If it's your business systems that are working harder than they should, it's a waste of your IT budget.
The key word is ephemeral—if your instance dies, so does your data. This is why we would only recommend the use of local SSDs in clustered database setups (with three or more nodes) or for use in applications where data can safely be lost.
Enabling The Feature
We have created an early access …
…the better-known NoSQL databases, including Riak, Redis, Cassandra, CouchDB and MongoDB. That was in early 2011. I wrote a chapter on MongoDB, but it didn't feel right to me, so I tried a different approach on the Riak chapter, much more focused on being practical and introducing the user-facing concepts in a streamlined way, building up as the book progresses.
That approach felt much more natural to me, so eventually I started on the Redis chapter and thought I nailed it. …