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Search found 5 results on 1 pages for 'membase'.

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• CouchOne et Membase fusionnent pour créer « Couchbase » et une famille de produits NoSQL de nouvelle génération

  CouchOne et Membase fusionnent pour créer « Couchbase » Et une famille de produits NoSQL de nouvelle génération Le paysage des solutions NoSQL est en pleine mutation depuis l'annonce de la première grande fusion de ce secteur, désormais très prospère et concurrentiel. Les deux entreprises CouchOne et Membase viennent de fusionner et d'annoncer la consolidation de leurs efforts pour la création de « Couchbase », le « premier éditeur de solution exhaustive de base de données NoSQL ». Sur son site officiel, CouchOne promet des possibilités de scalabilité sans précédent pour les produits qui vont résulter de cette fusion, pouvant propulser des « datacenter de la taille ...

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• Couchbase (ex. membase) solution to dump all keys in a bucket

  - by j99

  I was googling around and found various python + tap solutions that should enable me to dump all keys from a bucket but none of them worked for me. I have a bucket at port 11230 and I need to get a dump of all keys in order to fill them into sphinx search engine. If I execute: # python /opt/couchbase/lib/python/tap_example.py 127.0.0.1:11230 I get the following output: info: New bin connection from None error: uncaptured python exception, closing channel <tap.TapConnection connected at 0x7f5d287184d0> (<type 'exceptions.AssertionError'>: [/usr/lib/python2.6/asyncore.py|read|78] [/usr/lib/python2.6/asyncore.py|handle_read_event|428] [/opt/couchbase/lib/python/mc_bin_server.py|handle_read|325]) this error is the same even if I try some other host or port. I also tried many other python scripts that I found on forums and groups but all of them produced the same error. My primary development environment includes PHP & Perl on Debian linux box but I will take any solution that would just dump all the keys into plain text file. Thank you for any help!

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• MMO Data Persistence Question

  - by JasonG

  I wanted to ask a question regarding data persistence strategies for an MMO. I have some experience in the games industry with social synchronous games. At Zynga, we stored static proto data in XML on both the client and the server and stored instance/runtime data in membase. For clarity sake, proto data for a Potion would be PotionName or MaxCharges, while runtime/instance data would be something like ChargesRemaining. So basically, if a player picks up a potion the instance is (via prediction) created from XML data on the client, the request gets sent to the server where the instance is created from XML and then added to membase. Is the same strategy that would be used for soemthing like an MMO? Would it be feasible to have static proto data in some kind of in-memory no-sql database on both client and server with instance data being stored on the server in a more enterprise level database? Or should all data (proto/instance) be stored on the server and the client gets everything from server? I know a lot of this might on certain game requirements, however, i'm basically looking for some general opinion/best practices here if there are any.

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• How to choose NoSQL database engine?

  - by Poma

  We have a database with following specs: 30k records, 7mb in size 20 inserts/second 1000 updates/second 1000 range selects/second, by secondary index, approx 10 rows each needs at least one secondary index needs some mechanism to expire keys if they are not updated for 75 secs (can be done via programmatic garbage collector but will require additional 'last_update' index and will add some load) consistency is not required durability is not required db should be stored in memory For now we use Redis, but it does not have secondary index and it's keys index:foo:* is too slow. Membase also does not have secondary index (as far as I know). MongoDB and MySQL memory engine have table-level locks. What engine will fit our use case?

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• Architecture for analysing search result impressions/clicks to improve future searches

  - by Hais

  We have a large database of items (10m+) stored in MySQL and intend to implement search on metadata on these items, taking advantage of something like Sphinx. The dataset will be changing slightly on a daily basis so Sphinx will be re-indexing daily. However we want the algorithm to self-learn and improve search results by analysing impression and click data so that we provide better results for our customers on that search term, and possibly other similar search terms too. I've been reading up on Hadoop and it seems like it has the potential to crunch all this data, although I'm still unsure how to approach it. Amazon has tutorials for compiling impression vs click data using MapReduce but I can't see how to get this data in a useable format. My idea is that when a search term comes in I query Sphinx to get all the matching items from the dataset, then query the analytics (compiled on an hourly basis or similar) so that we know the most popular items for that search term, then cache the final results using something like Memcached, Membase or similar. Am I along the right lines here?

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