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Search found 243 results on 10 pages for 'couchdb'.

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  • couchdb: one database per account vs all in one database w. a namespace / property

    - by thruflo
    I'm modelling a document generation system in couchdb. It semi-automates the production of proposal and presentation documents from managable document fragments. Much like, say, Basecamp, it breaks down very simply into self-contained data per 'account'. Each account has multiple users, projects, documents, etc. However, nothing should be shared between accounts. I can see two ways of doing this: one couchdb database per account use a namespace / property to identify the account It seems to me that the first approach is conceptually sound and potentially has security and partitioning advantages. However, it seems to me to restrict some cross-database data querying (that I don't have a use case for now but you never know...) and to make updating views potentially require an awful lot of writes. Does anyone experienced with this kind of decision have any advice?

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  • Can't open Evolution CouchDB address book

    - by Amanda
    Unable to open address book This address book cannot be opened. This either means that an incorrect URI was entered, or the server is unreachable. I tried the solution (and suggestions) in Evolution has no access to couchdb but that isn't working for me. I tried stopping desktopcouch-service and deleting my access keys and now the error I get says Unable to open address book This address book cannot be opened. This either means that an incorrect URI was entered, or the server is unreachable. Detailed error message: Address Book does not exist Do I need to create my addressbook anew?

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  • How do I do the SQL equivalent of "DISTINCT" in CouchDB?

    - by Blaine LaFreniere
    I have a bunch of MP3 metadata in couchDB. I want to return every album that is in the MP3 metadata, but no duplicates. A typical document looks like this: { "_id": "005e16a055ba78589695c583fbcdf7e26064df98", "_rev": "2-87aa12c52ee0a406084b09eca6116804", "name": "Fifty-Fifty Clown", "number": 15, "artist": "Cocteau Twins", "bitrate": 320, "album": "Stars and Topsoil: A Collection (1982-1990)", "path": "Cocteau Twins/Stars and Topsoil: A Collection (1982-1990)/15 - Fifty-Fifty Clown.mp3", "year": 0, "genre": "Shoegaze" }

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  • Error about 'invalid JSON' with couchDB view but the json's fine...

    - by Chris Huang-Leaver
    I am trying to setup the following view on CouchDB { "_id":"_design/id", "_rev":"1-9be2e55e05ac368da3047841f301203d", "language":"javascript", "views":{ "by_id":{ "map" : "function(doc) { emit(doc.id, doc)}" },"from_user_id":{ "map" : "function(doc) { if (doc.from_user_id) {emit(doc.from_user_id, doc)}}"}, "from_user":{ "map" : "function(doc) { if (doc.from_user) {emit(doc.from_user, doc)}}"}, "to_user_id":{ "map" : "function(doc) {if (doc.to_user_id){ emit(doc.to_user_id, doc)}}"}, "to_user":{ "map" : "function(doc) {if (doc.to_user){ emit(doc.to_user, doc)}}" }, "max_id":{ "map" : "function(doc) { if (doc.id) {emit(doc._id, eval(doc.id))}}", "reduce" :"function(key,value) { a = value[0]; for (i=1; i <value.length; ++i){a = Math.max(a,value[i])} return a}" } } } when I try to 'PUT' this using curl: curl -X PUT -d keys.json $CDB/_design/id {"error":"bad_request","reason":"invalid UTF-8 JSON"} I know it's not invalid JSON, because I tested it using the 'json' library built into Python 2.6, it loads fine. JS screw ups give me the error 'must evaluate to a function' What else might be wrong with it?

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  • Can a CouchDB document update handler get an update conflict?

    - by jhs
    How likely is a revision conflict when using an update handler? Should I concern myself with conflict-handling code when writing a robust update function? As described in Document Update Handlers, CouchDB 0.10 and later allows on-demand server-side document modification. Update handlers can process non-JSON formats; but the other major features are these: An HTTP front-end to arbitrarily complex document modification code Similar code needn't be written for all possible clients—a DRY architecture Execution is faster and less likely to hit a revision conflict I am unclear about the third point. Executing locally, the update handler will run much faster and with lower latency. But in situations with high contention, that does not guarantee a successful update. Or does the update handler guarantee a successful update?

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  • How can I get a view of favorite user documents by user in Couchdb map/reduce?

    - by Jeremy Raymond
    My Couchdb database as a main document type that looks something like: { "_id" : "doc1", "type" : "main_doc", "title" : "the first doc" ... } There is another type of document that stores user information. I want users to be able to tag documents as favorites. Different users can save the same or different documents as favorites. My idea was to introduce a favorite document to track this something like: { "_id" : "fav1", "type" : "favorite", "user_id" : "user1", "doc_id" : "doc1" } It's easy enough to create a view with user_id as the key to get a list of their favorite doc IDs. E.g: function(doc) { if (doc.type == "favorite") { emit(doc.user_id, doc.doc_id); } } However I want to list of favorites to display the user_id, doc_id and title from the document. So output something like: { "key" : "user1", "value" : ["doc1", "the first doc"] }

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  • What is the chance a CouchDB document update handler will get a revision conflict?

    - by jhs
    How likely is a revision conflict when using an update handler? Should I concern myself with conflict-handling code when writing a robust update function? As described in Document Update Handlers, CouchDB 0.10 and later allows on-demand server-side document modification. Update handlers can process non-JSON formats; but the other major features are these: An HTTP front-end to arbitrarily complex document modification code Similar code needn't be written for all possible clients—a DRY architecture Execution is faster and less likely to hit a revision conflict I am unclear about the third point. Executing locally, the update handler will run much faster and with lower latency. But in situations with high contention, that does not guarantee a successful update. Or does the update handler guarantee a successful update?

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  • CouchDB emit with lookup key that is array, such that order of array elements are ignored.

    - by MatternPatching
    When indexing a couchdb view, you can emit an array as the key such as: emit(["one", "two", "three"], doc); I appreciate the fact that when searching the view, the order is important, but sometimes I would like the view to ignore it. I have thought of a couple of options. 1. By convention, just emit the contents in alphabetical order, and ensure that looking up uses the same convention. 2. Somehow hash in a manner that disregards the order, and emit/search based on that hash. (This is fairly easy, if you simply hash each one individually, "sum" the hashes, then mod.) Note: I'm sure this may be covered somewhere in the authoritative guide, but I was unsuccessful in finding it.

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  • How can I "undelete" a set of documents in CouchDB?

    - by radicand
    I have a large set of documents in a CouchDB database that were just accidentally bulk deleted using _deleted:true. I also have a backup for this set of data that includes their last known good revision and metadata. I need to maintain the same _id, so simple restore with a new _id is not an option. Compaction has not been run and I can access any of these documents via the &rev= url parameter as well as their attachments (which are needed). What I need to do is "restore" these documents to the revision I have on file. Surprisingly, I have come up empty with any queries on how to achieve this. Tips or hacks appreciated.

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  • Using DesktopCouch without Ubuntu One?

    - by burli
    I want to know if it is possible to use DesktopCouch without UbuntuOne, but with a local CouchDB Server. I found a pairing Tool, but this crashes, when I try to pair two computer. I can find the local Desktop Couches with the Avahi Zeroconf Browser and it should be possible to find them with Python and start a replication To make a long story short: I want to sync DesktopCouch Databases in my local network without Ubuntu One. Is that possible?

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  • Strange Map Reduce Behavior in CouchDB. Rereduce?

    - by Tony
    I have a mapreduce issue with couchdb (both functions shown below): when I run it with grouplevel = 2 (exact) I get accurate output: {"rows":[ {"key":["2011-01-11","staff-1"],"value":{"total":895.72,"count":2,"services":6,"services_ignored":6,"services_liked":0,"services_disliked":0,"services_disliked_avg":0,"Revise":{"total":275.72,"count":1},"Review":{"total":620,"count":1}}}, {"key":["2011-01-11","staff-2"],"value":{"total":8461.689999999999,"count":2,"services":41,"services_ignored":37,"services_liked":4,"services_disliked":0,"services_disliked_avg":0,"Revise":{"total":4432.4,"count":1},"Review":{"total":4029.29,"count":1}}}, {"key":["2011-01-11","staff-3"],"value":{"total":2100.72,"count":1,"services":10,"services_ignored":4,"services_liked":3,"services_disliked":3,"services_disliked_avg":2.3333333333333335,"Revise":{"total":2100.72,"count":1}}}, However, changing to grouplevel=1 so the values for all the different staff keys should be all grouped by date no longer gives accurate output (notice the total is currect but all others are wrong): {"rows":[ {"key":["2011-01-11"],"value":{"total":11458.130000000001,"count":2,"services":0,"services_ignored":0,"services_liked":0,"services_disliked":0,"services_disliked_avg":0,"None":{"total":11458.130000000001,"count":2}}}, My only theory is this has something to do with rereduce, which I have not yet learned. Should I explore that option or am I missing something else here? This is the Map function: function(doc) { if(doc.doc_type == 'Feedback') { emit([doc.date.split('T')[0], doc.staff_id], doc); } } And this is the Reduce: function(keys, vals) { // sum all key points by status: total, count, services (liked, rejected, ignored) var ret = { 'total':0, 'count':0, 'services': 0, 'services_ignored': 0, 'services_liked': 0, 'services_disliked': 0, 'services_disliked_avg': 0, }; var total_disliked_score = 0; // handle status function handle_status(doc) { if(!doc.status || doc.status == '' || doc.status == undefined) { status = 'None'; } else if (doc.status == 'Declined') { status = 'Rejected'; } else { status = doc.status; } if(!ret[status]) ret[status] = {'total':0, 'count':0}; ret[status]['total'] += doc.total; ret[status]['count'] += 1; }; // handle likes / dislikes function handle_services(services) { ret.services += services.length; for(var a in services) { if (services[a].user_likes == 10) { ret.services_liked += 1; } else if (services[a].user_likes >= 1) { ret.services_disliked += 1; total_disliked_score += services[a].user_likes; if (total_disliked_score >= ret.services_disliked) { ret.services_disliked_avg = total_disliked_score / ret.services_disliked; } } else { ret.services_ignored += 1; } } } // loop thru docs for(var i in vals) { // increment the total $ ret.total += vals[i].total; ret.count += 1; // update totals and sums for the status of this route handle_status(vals[i]); // do the likes / dislikes stats if(vals[i].groups) { for(var ii in vals[i].groups) { if(vals[i].groups[ii].services) { handle_services(vals[i].groups[ii].services); } } } // handle deleted services if(vals[i].hidden_services) { if (vals[i].hidden_services) { handle_services(vals[i].hidden_services); } } } return ret; }

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  • CouchDB basics for PHP developers

    <b>IBM Developerworks:</b> "If you're a typical PHP developer, it doesn't take a thorough review of past projects to pick out a telling pattern: In most (if not all) cases, you're probably getting PHP to talk to a database back end for all that dynamic data goodness; in 99 percent of those instances, you're using MySQL."

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  • Caching Authentication Data

    - by PartlyCloudy
    Hi, I'm currently implementing a REST web service using CouchDB and RESTlet. The RESTlet layer is mainly for authentication and some minor filtering of the JSON data served by CouchDB: Clients <= HTTP = [ RESTlet <= HTTP = CouchDB ] I'm using CouchDB also to store user login data, because I don't want to add an additional database server for that purpose. Thus, each request to my service causes two CouchDB requests conducted by RESTlet (auth data + "real" request). In order to keep the service as efficent as possible, I want to reduce the number of requests, in this case redundant requests for login data. My idea now is to provide a cache (i.e.LRU-Cache via LinkedHashMap) within my RESTlet application that caches login data, because HTTP caching will probabily not be enough. But how do I invalidate the cache data, once a user changes the password, for instance. Thanks to REST, the application might run on several servers in parallel, and I don't want to create a central instance just to cache login data. Currently, I save requested auth data in the cache and try to auth new requests by using them. If a authentication fails or there is now entry available, I'll dispatch a GET request to my CouchDB storage in order to obtain the actual auth data. So in a worst case, users that have changed their data will perhaps still be able to login with their old credentials. How can I deal with that? Or what is a good strategy to keep the cache(s) up-to-date in general? Thanks in advance.

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  • Memcachedb Versus MongoDB Versus CouchDB in terms of file based caching solution?

    - by Scott Faisal
    We need a caching solution that essentially caches data (text files) anywhere from 3 days up to a week based on user preferences and criteria. In this case memory based caching does not make sense to us. We were referred to MemcacheDB however I also thought of some NO SQL solutions. Our current application uses RDMS (MYSQL) and I guess it makes sense to use MemcacheDB however NOSQL does appeal as it is something more on the horizon. However we have not deployed a production level application under NOSQL and the beta stuff does not settle well with management/investors. Any how what are your thoughts and how would you address it? Thank You

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  • Ubuntu One Bookmark sync not working.

    - by Rob
    Everything in Ubuntu One sync works great except bookmark sync. I tried the wiki answer that said to run: killall beam.smp beam rm ~/.config/desktop-couch/desktop-couchdb.ini dbus-send --session --dest=org.desktopcouch.CouchDB --print-reply --type=method_call / org.desktopcouch.CouchDB.getPort This is what my terminal came back with: robin@robin-MIDWAY:~$ killall beam.smp beam beam: no process found robin@robin-MIDWAY:~$ rm ~/.config/desktop-couch/desktop-couchdb.ini rm: cannot remove `/home/robin/.config/desktop-couch/desktop-couchdb.ini': No such file or directory robin@robin-MIDWAY:~$ dbus-send --session --dest=org.desktopcouch.CouchDB --print-reply --type=method_call / org.desktopcouch.CouchDB.getPort Error org.freedesktop.DBus.Error.NoReply: Did not receive a reply. Possible causes include: the remote application did not send a reply, the message bus security policy blocked the reply, the reply timeout expired, or the network connection was broken. robin@robin-MIDWAY:~$ I'm a computer "newbie" so it's possible I'm doing something wrong, are there any tutorials out there on how to use the CouchDB? I have Bindwood installed.

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  • In-memory DB to perform intersects on set slices

    - by IanC
    I have a specific programming need where I need to efficiently store large sorted sets in memory, query them for ranges, and intersect them against other sets that are also queried for ranged. I am looking at Redis, but I can't see a range slice command. MongoDB can only use 1 index, so it has to perform row-level scans, whereas I wish to process using columns that are intersected. I'm also looking at Counchbase, but can't easily determine from the documentation if it is suited to this. I know it uses Memcached, which is AFAIK not suited to this usage. Could anyone share potential solutions for this specific problem? EDIT For example, I need to perform the following: Get the IDs of all cars where the price is between 2000 and 3000, and intersect that will all cars where the engine capacity is between 3000 and 4000.

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