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  • Difference between Document-oriented-DB and Bigtable clones

    - by chen
    We are looking for a suitable storage engine for our weblog history data. We looked at Bigtable's paper and understand it is suitable to us well. However, I also understand that Document-oriented-DB such as MongoDB seems to provide a little more powerful schema power -- i.e, it can model our data as well. I wonder how nowadays ppl choose a scalable NoSQL DB --- I read enough articles like "we looked at A, B and C, and we decided to use C". But I'd like to see some benchmark number. What I am saying is that if MongoDB and the like can provide same level of performance as Bigtable clones, why don't web companies choose it (preparing to deal with various potentially more complex data problem)? Thanks, By the way, I read an article (which convinced me at the moment) saying Cassandra does not fit the M/R operation, any comments?

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  • Getting-started: Setup Database for Node.js

    - by Emile Petrone
    I am new to node.js but am excited to try it out. I am using Express as a web framework, and Jade as a template engine. Both were easy to get setup following this tutorial from Node Camp. However the one problem I am finding is I can't find a simple tutorial for getting a DB set up. I am trying to build a basic chat application (store session and message). Does anyone know of a good tutorial? This other SO post talks about dbs to use- but as this is very different from the Django/MySQL world I've been in, I want to make sure I understand what is going on. Thanks!

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  • How to handle authenticated user access to resources in document oriented system?

    - by Jeremy Raymond
    I'm developing a document oriented application and need to manage user access to the documents. I have a module that handles user authentication, and another module that handles document CRUD operations on the data store. Once a user is authenticated I need to enforce what operations the user can and cannot perform to documents based upon the user's permissions. The best option I could think of to integrate these two pieces together would be to create another module that duplicates the data API but that also takes the authenticated user as a parameter. The module would delegate the authorization check to the auth module and delegate the document operation to the data access module. Something like: -module(auth_data_access). % User is authenticated (logged into the system) % save_doc validates if user is allowed to save the given document and if so % saves it returning ok, else returns {error, permission_denied} save_doc(Doc, User) -> case auth:save_allowed(Doc, User) of ok -> data_access:save_doc(Doc); denied -> {error, permission_denied} end end. Is there a better way I can handle this?

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  • inheritance in document database?

    - by nils petersohn
    i am wondering because i searched the pdf "xxx the definitive guide" and "beginning xxx" for the word "inheritance" but i didn't find anything? am i missing something? because i am doing a tablePerHierarchy inheritance with hibernate and mysql, does that become deprecated for some reason in xxx? (replace xxx with the "not only sql" database you like)

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  • MongoDB: What's the point of using MapReduce without parallelism?

    - by netvope
    Quoting http://www.mongodb.org/display/DOCS/MapReduce#MapReduce-Parallelism As of right now, MapReduce jobs on a single mongod process are single threaded Without parallelism, what are the benefits of MapReduce compared to simpler or more traditional methods for queries and data aggregation? To avoid confusion: the question is NOT "what are the benefits of document-oriented DB over traditional relational DB"

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  • NoSQL replacement for memcache

    - by Juan Antonio Gomez Moriano
    We are having a situation in which the values we store on memcache are bigger than 1MB. It is not possible to make such values smaller, and even if there was a way, we need to persist them to disk. One solution would be to recompile the memcache server to allow say 2MB values, but this is either not clean nor a complete solution (again, we need to persist the values). Good news is that We can predict quite acurately how many key/values pair we are going to have We can also predict the total size we will need. A key feature for us is the speed of memcache. So question is: is there any noSQL replacement for memcache which will allow us to have values longer than 1MB AND store them in disk without loss of speed? In the past I have used tokyotyrant/cabinet but seems to be deprecated now. Any idea?

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  • How can I get job in company when I unfamiliar with technology [closed]

    - by Michael Z
    Sorry if I have chosen wrong stackexchange site for this question. Point me in correct place if any... How can I get job in company that have some unfamiliar technology for me in they Job Requirements list? In other words. How can I get job on Lucene if I have not any experience on Lucene, but for getting experience in Lucene I need to be involved in company that needs developers with Lucene technology experience? It is closed disk!

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  • Should I convert data arrays to objects in PHP in a CouchDB/Ajax app?

    - by karlthorwald
    I find myself converting between array and object all the time in PHP application that uses couchDB and Ajax. Of course I am also converting objects to JSON and back (for sometimes couchdb but mostly Ajax), but this is not so much disturbing my workflow. At the present I have php objects that are returned by the CouchDB modules I use and on the other hand I have the old habbit to return arrays like array("error"="not found","data"=$dataObj) from my functions. This leads to a mixed occurence of real php objects and nested arrays and I cast with (object) or (array) if necessary. The worst thing is that I know more or less by heart what a function returns, but not what type (array or object), so I often run into type errors. My plan is now to always cast arrays to objects before returning from a function. Of course this implies a lot of refactoring. Is this the right way to go? What about the conversion overhead? Other ideas or tips?

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  • Solrnet /ASP.NET sample without MVC

    - by Mikos
    I am trying to get a handle on Solrnet and interacting an ASP.NET site with a Solr server. However, the sample app (on the code repository) is MVC based ,does anyone know of a version in plain vanilla ASP.NET? Thanks

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  • SOLR - Boost function (bf) to increase score of documents whose date is closest to NOW

    - by Mechanic
    Hi all, I have a solr instance containing documents which have a 'startTime' field ranging from last month to a year from now. I'd like to add a boost query/function to boost the scores of documents whose startTime field is close to the current time. So far I have seen a lot of examples which use rord to add boosts to documents whom are newer but I have never seen an example of something like this. Can anyone tell me how to do it please? Thanks

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  • Is Lucern.net good choice for website search of 1M item product database? (giving up on SQL Server

    - by Pete Alvin
    We currently have in production SQL Server 2005 and we use it's full text search for a eCommerce site search of a million product database. I've optimized it as much as possible (I think) and we're still seeing search times of five seconds. (We don't need site scrawl or PDF (etc.) document indexing features... JUST "Google" speed for site search.) I was going to buy dtSearch but now I realize I can just use Lucerne.net and save the $2,500 for two server license. I read on a post that Lucerne.Net is not good for website searches. Has anyone else used Lucerne.Net from ASP.Net? Does it take a lot of memory? Any problems? Any comments?

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  • Search for short words with SOLR

    - by Carsten Gehling
    I am using SOLR along with NGramTokenizerFactory to help create search tokens for substrings of words NGramTokenizer is configured with a minimum word length of 3 This means that I can search for e.g. "unb" and then match the word "unbelievable". However I have a problem with short words like "I" and "in". These are not indexed by SOLR (I suspect it is because of NGramTokenizer) and therefore I cannot search for them. I don't want to reduce the minimum word length to 1 or 2, since this creates a huge search index. But I would like SOLR to include whole words whose length is already below this minimum. How can I do that? /Carsten

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  • Nutch - how to crawl by small patches?

    - by Yurish
    Hi everyone! I am stuck! Can`t get Nutch to crawl for me by small patches. I start it by bin/nutch crawl command with parameters -depth 7 and -topN 10000. And it never ends. Ends only when my HDD is empty. What i need to do: Start to crawl my seeds with possibility to go further on outlinks. Crawl 20000 pages, then index them. Crawl another 20000 pages, index them and merge with first index. Loop step 3 n times. Tried also with scripts found in wiki, but all scripts i found don't go further. If i run them again, they do everything from beginning. And in the end of script i have the same index i had, when started to crawl. But, i need to continue my crawl. Some help would be very usefull!

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  • Proper snowball analyzer configuration when using Grails Searchable Plugin

    - by Wirsbro
    To improve stemming we want to switch from the default analyzer to snowball, however, having a lot of difficulty with the proper settings and would appreciate any help. In Environment: - Sun's Java 1.6.16 - Grails 1.2.2 - Searchable Plug-In 0.5.5 Config.groovy: Have tried both settings: compassSettings = ['compass.engine.analyzer.stemmed.type': 'snowball', 'compass.engine.analyzer.stemmed.name': 'English'] compassSettings = ['compass.engine.analyzer.snowball.type': 'snowball', 'compass.engine.analyzer.snowball.name': 'English', 'compass.engine.analyzer.search.type': 'snowball', 'compass.engine.analyzer.search.name': 'English'] Search.groovy - The Invocation: def searchResult = searchableService.search(params.q, withHighlighter: { highlighter, index, sr if (!sr.highlights) { sr.highlights = [] } try { sr.highlights[index] = highlighter.fragments("content")[0..2].join(" ") } catch (IndexOutOfBoundsException ex) { sr.highlights[index] = highlighter.fragment("content") } }) def suggestion = searchableService.suggestQuery(params.q) if (suggestion != params.q) { searchResult.suggestedQuery = suggestion }

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  • Highlighting in Solr 1.4 - requireFieldMatch

    - by Mark Redding
    I have an object Title : foo Summary : foo bar Body : this is a published story about a foo and a bar All three are set up as fields with stored=true. The user searches across my system for the word "foo" I would like to highlight foo in all three places. The user searches for the word foo in the title "title:foo" I only want to highlight foo within the title. When I added hl.requireFieldMatch=true and hl.usePhraseHighlighter=true as part of my query over to SOLR I am unable to get the highlighting in all three places when doing a generic non fielded search. Is there a way to get both scenarios to work? I had these two items turned off, but I am adding in some fielded portions of the query that the user does not see which only display Published items for instance. the problem is (foo AND status:published) is causing the word published in the body to highlight when the user only searched for the word "foo".

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  • Solr associations

    - by Tom
    Hi all, The last couple of days we are thinking of using Solr as our search engine of choice. Most of the features we need are out of the box or can be easily configured. There is however one feature that we absolutely need that seems to be well hidden (or missing) in Solr. I'll try to explain with an example. We have lots of documents that are actually businesses: <document> <name>Apache</name> <cat>1</cat> ... </document> <document> <name>McDonalds</name> <cat>2</cat> ... </document> In addition we have another xml file with all the categories and synonyms: <cat id=1> <name>software</name> <synonym>IT<synonym> </cat> <cat id=2> <name>fast food</name> <synonym>restaurant<synonym> </cat> We want to associate both businesses and categories so we can search using the name and/or synonyms of the category. But we do not want to merge these files at indexing time because we should update the categories (adding.remioving synonyms...) without indexing all the businesses again. Is there anything in Solr that does this kind of associations or do we need to develop some specific pieces? All feedback and suggestions are welcome. Thanks in advance, Tom

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  • How can I merge multiple Compass Resources into one, with one score?

    - by Brent Fisher
    I am trying to integrate compass into my platform using the JDBC ResultSetToResourceMapping. What I want to do is set it up so that I could have multiple result set mappings, tied to one Resource, that produces one result, with one score, and a merged score. I have tried to trick Compass into doing this by mapping the same id across them, even though the property fields are different, but it just ends up giving me separate hits for each. E.g. I have the following Data Model, Cases and Comments. One case might have several comments. Say I search for a term that appears in multiple comments. Right now, I a hit for each one, each with a different score. Is there a way that I could merge or aggregate those hits into one hit? Say, instead of Score Entity ID Snippets 100.0% Case 3558 ... The fox jumped over the lazy dog ... 60.0% Case 3558 ... In Alabama today, three jumping turtles were ... 25.0% Case 3558 ... Three jumpers fled the scene... I get Score Entity ID Snippets 100.0% Case 3558 The fox jumped over the lazy dog ...In Alabama today, three jumping turtles were ... Three jumpers fled the scene... Where the latter score is an aggregated score.

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  • Finding key Solr performance metrics

    - by Mike Malloy
    To improve performance of Solr find your slowest searches, monitor query results, cache hit rate and cache size, document cache and filter cache; find problems with Solr update handlers by tracking index operations and document operations. There is a tool from New Relic which may help. http://www.newrelic.com/solr.html

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  • Zend_Search_Lucene range query error

    - by Maurice
    I have set up each document with a date field. (keyword) Values stored in it are in this format; 20100511 Each time I try to perform a ranged query, I get the following error: date:[10000000 TO 20000000] At least one range query boundary term must be non-empty term Anyone got a clue?

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  • How to handle search term concatenations in SOLR

    - by Joost Moesker
    We are currently replacing our product search from mysql to a SOLR backend. Our customer often search for terms like 'startrek online', 'starwars', 'redsteel' or even 'grandtheftauto'. Is there a method in SOLR to either expand or spellcheck these searches into syllables eg.'star trek online', 'star wars', 'red steel', 'grand theft auto'?

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