Search Results

Search found 631 results on 26 pages for 'couchdb lucene'.

facebook twitter digg google delicious technorati stumbleupon myspace wordpress linkedin gmail igoogle windows live tumblr viadeo yahoo buzz yahoo mail yahoo bookmarks favorites email print

Page 15/26 | < Previous Page | 11 12 13 14 15 16 17 18 19 20 21 22  | Next Page >

  • Are there any e-commerce websites that use NoSQL databases

    - by Saif Bechan
    I have read a lot lately about 'NoSQL' databases such as CouchDB, MongoDB etc. Most of the websites I have seen using this are mainly text based websites such as The New York Times and Source forge. I was wondering if you could apply this to websites where payment is a huge issue. I am thinking of the following issues: How well can you secure the data Do these system provide an easy backup/restore machanism How are transactions handled commit/rollback I have read the following articles that cover some aspects: Can I do transactions and locks in CouchDB? Pros/Cons of document based database vs relational database In these posts the aspect of transactions if covered. However the questions of security and backups is not covered. Can someone shed some light on this subject? And if possible, does anyone know of some e-commerce websites that have successfully implemented the document based database.

    Read the article

  • Mesh Networked servers via vpn

    - by microspino
    I got a design idea and I would like to have some advice from SF about It. I have 5 customers with small real-estate databases. I've built for them a desktop app and now they would like to merge their database to share their data. I don't want to centralize everything in one place nor I want to do maintenance for servers. They told me also, that all of them in their offices, have little servers and maintenance guys available. Although everything seems suitable for web application, I had the idea to experiment something new: Any customer small-server wild be connected to the others in a sort of mesh network without a single point of failure and through VPNs. If one of the servers went down the customers could still connect to their databases from one of the other mesh networked servers instead of from the local one that is down. During normal operations all the servers sync the db with the others through VPNs. I can accept a half-day timing window of NON synched data, in other words, since I don't need real time synchronization, the server don't have to always stay in synch. I can migrate my data over to other Non-Sql technologies like CouchDB or Redis or whatever you suggest. As you can see I don't have a lot of constraints and although I could go with a web application I would like to delegate and decentralize support, data-privacy and management, as more as I can to my customers offices. Is that a crazy idea? Do you know If something similar exist? Which technology would you suggest?

    Read the article

  • how to lucene serch in android

    - by xyz Sad
    Lucen with android logic ..??? public class TestAndroidLuceneActivity extends Activity { @Override public void onCreate(Bundle icicle) { super.onCreate(icicle); setContentView(R.layout.main); try { Directory directory = new RAMDirectory(); Analyzer analyzer = new StandardAnalyzer(); Document doc = new Document(); doc.add(new Field("header", "ABC", Field.Store.YES,Field.Index.TOKENIZED)); indexWriter.addDocument(doc); doc.add(new Field("header", "DEF", Field.Store.YES,Field.Index.TOKENIZED)); indexWriter.addDocument(doc); doc.add(new Field("header", "GHI", Field.Store.YES,Field.Index.TOKENIZED)); indexWriter.addDocument(doc); doc.add(new Field("header", "JKL", Field.Store.YES,Field.Index.TOKENIZED)); indexWriter.addDocument(doc); indexWriter.optimize(); indexWriter.close(); IndexSearcher indexSearcher = new IndexSearcher(directory); QueryParser parser = new QueryParser("header", analyzer); // Query query = parser.parse("(" + "Anil" + ")"); Query query = parser.parse("(" + "ABC" + ")"); Hits hits = indexSearcher.search(query); for (int i = 0; i < hits.length(); i++) { Document hitDoc = hits.doc(i); Log.i("TestAndroidLuceneActivity", "Lucene: " +hitDoc.get("header")); // Toast.makeText(this, hitDoc.get("header"),Toast.LENGTH_LONG).show(); } indexSearcher.close(); directory.close(); } catch (Exception ex) { System.out.println(ex.getMessage()); } } } i have this code but i m not able to understnd plz send me related or modifed and set it main.xml show me some out put plzz..its does not serch after "ABC" plz tell me wat is the problem in logic any thing missing???..

    Read the article

  • MySQL Full-Text Search Across Multiple Tables - Quick/Long Solution?

    - by Kerry
    Hello all, I have been doing a bit of research on full-text searches as we realized a series of LIKE statements are terrible. My first find was MySQL full-text searches. I tried to implement this and it worked on one table, failed when I was trying to join multiple tables, and so I consulted stackoverflow's articles (look at the end for a list of the ones I've been to) I didn't see anything that clearly answered my questions. I'm trying to get this done literally in an hour or two (quick solution) but I also want to do a better long term solution. Here is my query: SELECT a.`product_id`, a.`name`, a.`slug`, a.`description`, b.`list_price`, b.`price`, c.`image`, c.`swatch`, e.`name` AS industry FROM `products` AS a LEFT JOIN `website_products` AS b ON (a.`product_id` = b.`product_id`) LEFT JOIN ( SELECT `product_id`, `image`, `swatch` FROM `product_images` WHERE `sequence` = 0) AS c ON (a.`product_id` = c.`product_id`) LEFT JOIN `brands` AS d ON (a.`brand_id` = d.`brand_id`) INNER JOIN `industries` AS e ON (a.`industry_id` = e.`industry_id`) WHERE b.`website_id` = 96 AND b.`status` = 1 AND b.`active` = 1 AND MATCH( a.`name`, a.`sku`, a.`description`, d.`name` ) AGAINST ( 'ashley sofa' ) GROUP BY a.`product_id` ORDER BY b.`sequence` LIMIT 0, 9 The error I get is: Incorrect arguments to MATCH If I remove d.name from the MATCH statement it works. I have a full-text index on that column. I saw one of the articles say to use an OR MATCH for this table, but won't that lose the effectiveness of being able to rank them together or match them properly? Other places said to use UNIONs but I don't know how to do that properly. Any advice would be greatly appreciated. In the idea of a long term solution it seems that either Sphinx or Lucene is best. Now by no means and I a MySQL guru, and I heard that Lucene is a bit more complicated to setup, any recommendations or directions would be great. Articles: http://stackoverflow.com/questions/1117005/mysql-full-text-search-across-multiple-tables http://stackoverflow.com/questions/668371/mysql-fulltext-search-across-1-table http://stackoverflow.com/questions/2378366/mysql-how-to-make-multiple-table-fulltext-search http://stackoverflow.com/questions/737275/pros-cons-of-full-text-search-engine-lucene-sphinx-postgresql-full-text-searc http://stackoverflow.com/questions/1059253/searching-across-multiple-tables-best-practices

    Read the article

  • How to count term frequency for set of documents?

    - by ManBugra
    i have a Lucene-Index with following documents: doc1 := { caldari, jita, shield, planet } doc2 := { gallente, dodixie, armor, planet } doc3 := { amarr, laser, armor, planet } doc4 := { minmatar, rens, space } doc5 := { jove, space, secret, planet } so these 5 documents use 14 different terms: [ caldari, jita, shield, planet, gallente, dodixie, armor, amarr, laser, minmatar, rens, jove, space, secret ] the frequency of each term: [ 1, 1, 1, 4, 1, 1, 2, 1, 1, 1, 1, 1, 2, 1 ] for easy reading: [ caldari:1, jita:1, shield:1, planet:4, gallente:1, dodixie:1, armor:2, amarr:1, laser:1, minmatar:1, rens:1, jove:1, space:2, secret:1 ] What i do want to know now is, how to obtain the term frequency vector for a set of documents? for example: Set<Documents> docs := [ doc2, doc3 ] termFrequencies = magicFunction(docs); System.out.pring( termFrequencies ); would result in the ouput: [ caldari:0, jita:0, shield:0, planet:2, gallente:1, dodixie:1, armor:2, amarr:1, laser:1, minmatar:0, rens:0, jove:0, space:0, secret:0 ] remove all zeros: [ planet:2, gallente:1, dodixie:1, armor:2, amarr:1, laser:1 ] Notice, that the result vetor contains only the term frequencies of the set of documents. NOT the overall frequencies of the whole index! The term 'planet' is present 4 times in the whole index but the source set of documents only contains it 2 times. A naive implementation would be to just iterate over all documents in the docs set, create a map and count each term. But i need a solution that would also work with a document set size of 100.000 or 500.000. Is there a feature in Lucene i can use to obtain this term vector? If there is no such feature, how would a data structure look like someone can create at index time to obtain such a term vector easily and fast? I'm not that Lucene expert so i'am sorry if the solution is obvious or trivial.

    Read the article

  • Scalable Full Text Search With Per User Result Ordering

    - by jeremy
    What options exist for creating a scalable, full text search with results that need to be sorted on a per user basis? This is for PHP/MySQL (Symfony/Doctrine as well, if relevant). In our case, we have a database of workouts that have been performed by users. The workouts that the user has done before should appear at the top of the results. The more frequently they've done the workout, the higher it should appear in search matches. If it helps, you can assume we know the number of times a user has done a workout in advance. Possible Solutions Sphinx - Use Sphinx to implement full text search, do all the querying and sorting in MySQL. This seems promising (and there's a Symfony Plugin!) but I don't know much about it. Lucene - Use Lucene to perform full text search and put the users' completions into the query. As is suggested in this Stack Overflow thread. Alternatively, use Lucene to retrieve the results, then reorder them in PHP. However, both solutions seem clunky and potentially unscalable as a user may have completed hundreds of workouts. Mysql - No native full text support (InnoDB), so we'd have use LIKE or REGEX, which isn't scalable.

    Read the article

  • asyncore callbacks launching threads... ok to do?

    - by sbartell
    I'm unfamiliar with asyncore, and have very limited knowledge of asynchronous programming except for a few intro to twisted tutorials. I am most familiar with threads and use them in all my apps. One particular app uses a couchdb database as its interface. This involves longpolling the db looking for changes and updates. The module I use for couchdb is couchdbkit. It uses an asyncore loop to watch for these changes and send them to a callback. So, I figure from this callback is where I launch my worker threads. It seems a bit crude to mix asynchronous and threaded programming. I really like couchdbkit, but would rather not introduce issues into my program. So, my question is, is it safe to fire threads from an async callback? Here's some code... {{{ def dispatch(change): global jobs, db_url # jobs is my queue db = Database(db_url) work_order = db.get(change['id']) # change is an id to the document that changed. # i need to get the actual document (workorder) worker = Worker(work_order, db) # fire the thread jobs.append[worker] worker.start() return main() . . . consumer.wait(cb=dispatch, since=update_seq, timeout=10000) #wait constains the asyncloop. }}}

    Read the article

  • Building dictionary of words from large text

    - by LiorH
    I have a text file containing posts in English/Italian. I would like to read the posts into a data matrix so that each row represents a post and each column a word. The cells in the matrix are the counts of how many times each word appears in the post. The dictionary should consist of all the words in the whole file or a non exhaustive English/Italian dictionary. I know this is a common essential preprocessing step for NLP. Does anyone know of a tool\project that can perform this task? Someone mentioned apache lucene, do you know if lucene index can be serialized to a data-structure similar to my needs?

    Read the article

  • No optimization causes wrong search result

    - by KailZhang
    I just took over our solr/lucene stuff from my ex-colleague. But there is a weird bug. If there is no optimization after dataimport, actually if there are multiple segment files, the search result then will be wrong. We are using a customized solr searchComponent. As far as I know about lucene, optimization is only optimization which could improve the speed of indexing and should not affect search result. I doubt this may be related to multithreading or unclosed searcher/reader or something. Anybody can help? Thank you.

    Read the article

  • Best way to reuse a Runnable

    - by Gandalf
    I have a class that implements Runnable and am currently using an Executor as my thread pool to run tasks (indexing documents into Lucene). executor.execute(new LuceneDocIndexer(doc, writer)); My issue is that my Runnable class creates many Lucene Field objects and I would rather reuse them then create new ones every call. What's the best way to reuse these objects (Field objects are not thread safe so I cannot simple make them static) - should I create my own ThreadFactory? I notice that after a while the program starts to degrade drastically and the only thing I can think of is it's GC overhead. I am currently trying to profile the project to be sure this is even an issue - but for now lets just assume it is.

    Read the article

  • How do the readers fields should work like?

    - by David Marko
    In release notes of CouchDB 0.11 is stated, that it supports readers fields. I guess it should work similary as in Lotus Notes. But unfortunately I cant find any documentation on this topic. Can someone point me to documentation or some brief explanation at least? Thank you David

    Read the article

  • Use cases for NoSQL

    - by seengee
    NoSQL has been getting a lot of attention in the industry recently. Really interested in peoples thoughts on the best use-cases for its use over relational database storage. What should trigger a developer into thinking that particular datasets are more suited to a NoSQL solution like Redis/CouchDB/MongoDB/Cassandra etc. Would also be really interested to hear what people have ported from relational db's to NoSQL and what improvements they have seen.

    Read the article

  • Clojure and NoSQL databases

    - by Mad Wombat
    I am currently trying to pick between different NoSQL databases for my project. The project is being written in clojure and javascript. I am currently looking at three candidates for storage. What are the relative strengths and weaknesses of MongoDB, FleetDB and CouchDB? Which one is better supported in Clojure? Which one is better supported under Linux? Did I miss a better product (has to be free and OSS)?

    Read the article

  • CounchDB in Production

    - by NoelAdy
    I have been using CouchDB on some prototype applications and it has been brilliant, very easy to use and extremely quick. I was wondering if anyone has been using it in production and have any views on it's reliability, performance suitability for operational management etc ?? I am considering using it to support a service layer and would make use of its replication functionality. Any comments/experiences would be most welcome.

    Read the article

  • What are good hosting companies for PHP 5.3 Mysql / CouchDb / MongoDB Dev ( Lithium / CakePHP Framew

    - by Abba Bryant
    I am looking for a quality reliable host for some lithium development. I don't mind a shared platform as long as I have some ssh access. I require php 5.3.x, Mysql 5.x, and the usual imageMagick etc. Non-relational DB support up front would be nice but if they let me set one up myself I would be okay with doing it. I don't need a lot in the way of control panel tools. Good ones are appreciated but bad ones I would prefer not to even deal with. I don't anticipate needing much in the way of email but mail support would be nice to have. Cost isn't a big issue. I don't want to pay an arm and a leg but don't mind paying for what I need. Good support and decent uptime would be nice but I don't need an SLO or anything.

    Read the article

  • Best full text search for mysql?

    - by ConroyP
    We're currently running MySQL on a LAMP stack and have been looking at implementing a more thorough, full-text search on our site. We've looked at MySQL's own freetext search, but it doesn't seem to cope well with large databases, which makes it far too slow for our needs. Our main requirements are: speed returning results simple updating of index In addition to the above, our "nice to have"s are: ideally not something that requires adding a module to MySQL plays nicely with PHP (majority of our dev work done using PHP) There seems to be quite a few healthy open-source projects to add fast, reliable full-text search to MySQL, so I'm basically looking for recommendations/suggestions on what you've found to be the most useful product out there, easiest to set up, etc. So far, the list of ones we've been starting to play around with are: Sphinx, C++ based, used by craigslist, thepiratebay Lucene, Java-based Apache project, powers zeoh.com and zoomf.com Solr, Java-based offshoot of Lucene, used to power searches on Digg, CNet & AOL Channels Are there any better ones out there that we haven't come across yet? Can you recommend / suggest against any of the options we've gathered so far? Thanks for your help! Update @Cletus suggested Google's Custom Search Engine. We recently trialled this on a couple of projects, and it's an almost-perfect fit for our needs. The problem is that entries on our site are updated quite regularly, and unfortunately the speed at which entries go in/get updated in Google's index was just too slow and erratic for us to rely on, even with the addition of sitemaps and requested crawl rate changes.

    Read the article

  • Spelling correction for data normalization in Java

    - by dareios
    I am looking for a Java library to do some initial spell checking / data normalization on user generated text content, imagine the interests entered in a Facebook profile. This text will be tokenized at some point (before or after spell correction, whatever works better) and some of it used as keys to search for (exact match). It would be nice to cut down misspellings and the like to produce more matches. It would be even better if the correction would perform well on tokens longer than just one word, e.g. "trinking coffee" would become "drinking coffee" and not "thinking coffee". I found the following Java libraries for doing spelling correction: JAZZY does not seem to be under active development. Also, the dictionary-distance based approach seems inadequate because of the use of non-standard language in social network profiles and multi-word tokens. APACHE LUCENE seems to have a statistical spell checker that should be much more suited. Question here would how to create a good dictionary? (We are not using Lucene otherwise, so there is no existing index.) Any suggestions are welcome!

    Read the article

  • Pros/Cons of document based database vs relational database

    - by damian
    I've been trying to see if I can accomplish some requirements with a document based database, in this case CouchDB. Two generic requirements: CRUD of entities with some fields which have unique index on it ecommerce web app like eBay (better description here). And I'm begining to think that a Document-based database isn't the best choice to address these requirements. Furthermore, I can´t imagine a use for a Document based database (maybe my imagination is too little). Can you explain me if I am asking pears to an elm when I try to use a Document based database for this requirements?

    Read the article

  • Does this schema sound better suited for a document-oriented data store or relational?

    - by Blaine LaFreniere
    Disclaimer: let me know if this question is better suited for serverfault.com I want to store information on music, specifically: genres artists albums songs This information will be used in a web application, and I want people to be able to see all of the songs associated to an album, and albums associated to an artist, and artists associated to a genre. I'm currently using MySQL, but before I make a decision to switch I want to know: How easy is scaling horizontally? Is it easier to manage than an SQL based solution? Would the above data I want to store be too hard to do schema-free? When I think association, I immediately think RDBMSs; can data be stored in something like CouchDB but still have some kind of association as stated above?

    Read the article

  • Is Using Python to MapReduce for Cassandra Dumb?

    - by UltimateBrent
    Since Cassandra doesn't have MapReduce built in yet (I think it's coming in 0.7), is it dumb to try and MapReduce with my Python client or should I just use CouchDB or Mongo or something? The application is stats collection, so I need to be able to sum values with grouping to increment counters. I'm not, but pretend I'm making Google analytics so I want to keep track of which browsers appear, which pages they went to, and visits vs. pageviews. I would just atomically update my counters on write, but Cassandra isn't very good at counters either. May Cassandra just isn't the right choice for this? Thanks!

    Read the article

  • JSON documents and SQL database tables

    - by Sharmi
    Do JSON documents in RavenDB cost more than the SQL Server tables in terms of the storage and query costs. And also for centralized access, which one is better? What are the disadvantages of NON-SQL databases like RavenDB,CouchDB,MongoDB, etc... ? I can get that some of these are open source and support more datatypes like enums,objects,etc. but otherwise i don't see any big advantage? Currently there is a problem of storing huge amount of logs from various locations. I am planning to suggest these to my manager so just need a clear idea.

    Read the article

  • How can I get document field with jqCouch?

    - by Angelo
    Has anyone ever used jqCouch - jquery plugin for CouchDB? Know how to retrieve the fields in a document? with futon i created a document ex: _id "ceb5da7e0ac10c619e81b2a9c2ab115e" _rev "2-9ae589297cf186b6899f5762a40324e5" post "great" I try this for example: var dc = $.jqCouch.connection('doc'); var all = dc.all('testapp'); var all_documents = null; if (all.total_rows > 0) { all_documents = all.rows; } var c = all_documents[0].value.post; into value I have only _id and _rev, but not post. thanks!

    Read the article

facebook twitter digg google delicious technorati stumbleupon myspace wordpress linkedin gmail igoogle windows live tumblr viadeo yahoo buzz yahoo mail yahoo bookmarks favorites email print

< Previous Page | 11 12 13 14 15 16 17 18 19 20 21 22  | Next Page >