key-value-store

问题 As suggested in comments from Key: value store in Python for possibly 100 GB of data, without client/server and in other questions, SQLite could totally be used as a persistent key:value store. How would you define a class (or just wrapper functions) such that using a key:value store with SQLite would be as simple as: kv = Keyvaluestore('/test.db') kv['hello'] = 'hi' # set print(kv['hello']) # get print('blah' in kv) # answer: False because there's no key 'blah' in the store kv.close() ? 回答1:

问题 As suggested in comments from Key: value store in Python for possibly 100 GB of data, without client/server and in other questions, SQLite could totally be used as a persistent key:value store. How would you define a class (or just wrapper functions) such that using a key:value store with SQLite would be as simple as: kv = Keyvaluestore('/test.db') kv['hello'] = 'hi' # set print(kv['hello']) # get print('blah' in kv) # answer: False because there's no key 'blah' in the store kv.close() ? 回答1:

问题 I am going to implement a key value store with multi Paxos. I would have several nodes, one of which is the primary node. This primary node receive update requests and replicate values to slave nodes. My question is how the primary node (or leader) is selected? Can I still use the Paxos algorithm? If so, do you think it is necessary to abstract the paxos implementation to a single unit that could be used not only by the replication unit but also the leader election unit？ If I use the node

问题 One example of an effort to create a key value store database on the iOS is YapDatabase. However, I have no experience with it, and would like to understand whether it's worth it to use this, instead of something like Core Data or FMDB. One critical question I have is: How do I manage object relationships with this database? If I can avoid object relationships, I'm looking for suggestion or database design tips on how to solve the problem of an object that has many-to-many relationship to

问题 If I have several objects that each have basically a Profile , what I'm using to store random attributes, what are the pros and cons of: Storing a serialized hash in a column for a record, vs. Storing a bunch of key/value objects that belong_to the main object. Code Say you have STI records like these: class Building < ActiveRecord::Base has_one :profile, :as => :profilable end class OfficeBuilding < Building; end class Home < Building; end class Restaurant < Building; end Each has_one

问题 There is two popular gem for adding namespace to redis : redis-namespace and Nest , if i really understand we need namespace when we use the same instance server of redis with different projects, if i'm right this means : if i have project-1 and project-2 and each of these projects use my local redis storage, then perhaps the two projects have a users key which represente users of my app, so to prevent the conflict i need to namespace users key with something like the name of project : for

问题 I have an application that users a lot of batch reads in Aerospike. After some time the application is running, I get a lot these errors: play.api.Application$$anon$1: Execution exception[[AerospikeException: Error Code 9: Timeout]] at play.api.Application$class.handleError(Application.scala:296) ~[com.typesafe.play.play_2.11-2.3.7.jar:2.3.7] at play.api.DefaultApplication.handleError(Application.scala:402) [com.typesafe.play.play_2.11-2.3.7.jar:2.3.7] at play.core.server.netty

问题 I am new to Cassandra. As I understand the maximum number of tables that can be stored per keyspace is Integer.Max_Value. However, what are the implications from the performance perspective (speed, storage, etc) of such a big number of tables? Is there any recommendation regarding that? 回答1: While there are legitimate use cases for having lots of tables in Cassandra, they are rare. Your use case might be one of them, but make sure that it is. Without knowning more about the problem you're

问题 I need a tool similar to cdb (constant database) that would allow me to store large sets of data (in the range of hundreds of gigabytes) in indexed files. CDB is an ideal candidate but it has a 2 GB file size limit so it's not suitable. The functionality I'm looking for is a persistent key-value store supporting binary keys and values. After creating the database is read only and will never be modified. Can you recommend some tool? And btw, storage overhead should be small because I will be

问题 I've been looking for answers to this problem, but unfortunately without success. I'm developing a mathematical app (Swift-based), which keeps data of every function the user enters. (I then need to draw the functions on an NSView using a Parser) The data structure is saved into a Dictionary but I'm not able to add values and keys . The Dictionary is initialized like: var functions = [String : [[String : NSBezierPath], [String : NSColor], [String : CGFloat], [String : Bool]]](); //1A.The