consistency

There is a great talk here about simulating partition issues in Cassandra with Kingsby's Jesper library . My question is - with Cassandra are you mainly concerned with the Partitioning part of the CAP theorem, or is Consistency a factor you need to manage as well? Cassandra is typically classified as an AP system, meaning that availability and partition tolerance are generally considered to be more important than consistency. However, real world systems rarely fall neatly into these categories, so it's more helpful to view CAP as a continuum. Most systems will make some effort to be consistent

I have many strings in unicode format such as carbon copolymers—III\n12- Géotechnique\n and many more having many different unicode characters, in a string variable named txtWords . My goal is to remove all non-ASCII characters while preserving the consistency of the strings. For instance I want to first sentence turn into carbon copolymers III or carbon copolymers iii (no case-sensitivity here) and the second one to geotechnique\n and so on ... Currently I am using the following code but it doesn't help me achieve what I expect. The current code changes carbon copolymers III to carbon

This question already has an answer here: Consistent pseudo-random numbers across platforms 6 answers The title says it all, I am looking for something preferably stand-alone because I don't want to add more libraries. Performance should be good since I need it in a tight high-performance loop. I guess that will come at a cost of the degree of randomness. Any particular pseudo-random number generation algorithm will behave like this. The problem with rand is that it's not specified how it is implemented. Different implementations will behave in different ways and even have varying qualities.

In the earlier beta releases of CQ L, there was a command I could use to set the read / write consistency of an individual CQL operation. It looked like this: SELECT * FROM users WHERE state='TX' USING CONSISTENCY QUORUM; I use CQL3 regularly and have a use-case where I need to be able to perform a read with a higher consistency level than the rest of our application. I looked through the CQL3 reference and didn't find any mention of any CQL syntax that allows me to change the consistency settings on a per-query basis, unless I'm using cqlsh (not useful for application development.) How am I

I'm in the process of porting my application from an App Engine Datastore to a MongoDB backend and have a question regarding the consistency of "document updates." I understand that the updates on one document are all atomic and isolated, but is there a way to guarantee that they're "consistent" across different replica sets? In our application, many users can (and will) be trying to update one document at the same time by inserting a few embedded documents (objects) into it during one single update. We need to ensure these updates occur in a logically consistent manner across all replicas, i

In Python, find and index are very similar methods, used to look up values in a sequence type. find is used for strings, while index is for lists and tuples. They both return the lowest index (the index furthest to the left) that the supplied argument is found. For example, both of the following would return 1 : "abc".find("b") [1,2,3].index(2) However, one thing I'm somewhat confused about is that, even though the two methods are very similar, and fill nearly the same role, just for different data types, they have very different reactions to attempting to find something not in the sequence.