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  • MongoDB: Replicate data in documents vs. “join”

    - by JavierCane
    Disclaimer: This is a question derived from this one. What do you think about the following example of use case? I have a table containing orders. These orders has a lot of related information needed by my current queries (think about the products; the buyer information; the region, country and state of the sale point; and so on) In order to think with a de-normalized approach, I don't have to put identifiers of these related items in my main orders collection. Instead, I have to repeat all the information for each order (ie: I will repeat the buyer's name, surname, etc. for each of its orders). Assuming the previous premise, I'm committing to maintain all the data related to an order without a lot of updates (because if I modify the buyer's name, I'll have to iterate through all orders updating the ones made by the same buyer, and as MongoDB blocks at a document level on updates, I would be blocking the entire order at the update moment). I'll have to replicate all the products' related data? (ie: category, maker and optional attributes like color, size…) What if a new feature is requested and I've to make a lot of queries with the products "as the entry point of the query"? (ie: reports showing the products' sales performance grouping by region, country, or whatever) Is it fair enough to apply the $unwind operation to my orders original collection? (What about the performance?) I should have to do another collection with these queries in mind and replicate again all the products' information (and their orders)? Wouldn't be better to store a product_id in the original orders collection in order to be more tolerable to requirements change? (What about emulating JOINs?) The optimal approach would be a mixed solution with a RDBMS system like MySQL in order to retrieve the complete data? I mean: store products, users, and location identifiers in the orders collection and have queries in MySQL like getAllUsersDataByIds in which I would perform a SELECT * FROM users WHERE user_id IN ( :identifiers_retrieved_from_the_mongodb_query )

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  • Complex query making site extremely slow

    - by Basit
    select SQL_CALC_FOUND_ROWS DISTINCT media.*, username from album as album, album_permission as permission, user as user, media as media , word_tag as word_tag, tag as tag where ((media.album_id = album.album_id and album.private = 'yes' and album.album_id = permission.album_id and (permission.email = '' or permission.user_id = '') ) or (media.album_id = album.album_id and album.private = 'no' ) or media.album_id = '0' ) and media.status = '1' and media.user_id = user.user_id and word_tag.media_id = media.media_id and word_tag.tag_id = tag.tag_id and tag.name in ('justin','bieber','malfunction','katherine','heigl','wardrobe','cinetube') and media.media_type = 'video' and media.media_id not in ('YHL6a5z8MV4') group by media.media_id order by RAND() #there is limit too, by 20 rows.. i dont know where to begin explaining about this query, but please forgive me and ask me if you have any question. following is the explanation. SQL_CALC_FOUND_ROWS is calculating how many rows are there and will be using for pagination, so it counts total records, even tho only 20 is showing. DISTINCT will stop the repeated row to display. username is from user table. album, album_permission. its checking if album is private and if it is, then check if user has permission, by user_id. i think rest is easy to understand, but if you need to know more about it, then please ask. im really frustrated by this query and site is very slow or not opening sometimes cause of this query. please help

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  • MongoDB on FreeBSD

    - by Hartator
    We are currently using MongoDB 2.0.0 on MacOS but our servers are running FreeBSD. The most recent port of MongoDB is the 1.8.3 version. I have tried to compile the 2.0.0 by hand but I came across errors that I didn't manage to fix. I came across on the Internet a few old resources which are saying that MongoDB does not run well on FreeBSD mainly for performance issue (memory mapped files). Is that true ? Does it mean we have to switch our server to another OS ? Thanks for your opinions! Sources : http://groups.google.com/group/mongodb-user/browse_thread/thread/8131b7e5a5c710d9 http://ivoras.net/blog/tree/2009-11-05.a-short-time-with-mongodb.html

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  • MongoDB REST interface not listening after update

    - by Ones and Zeroes
    I replaced the mongodb-10gen install with the Ubuntu package (mongodb-server, mongodb-client and dev). apt-get install mongodb Thereafter, I am now unable to connect to the REST interface, where it worked before. Doing a wget to http://127.0.0.1:27018, I receive the following response: Connecting to 127.0.0.1:27018... failed: Connection refused. My previous /etc/mongodb.conf file had the following in: #enable REST rest = true Adding it to the packaged conf file does not resolve the issue, not even after restarting. I also tried changing the following with no effect: # Disable the HTTP interface (Defaults to localhost:27018). # nohttpinterface = true to # Disable the HTTP interface (Defaults to localhost:27018). nohttpinterface = false I have searched for days, and there doesn't seem to be anything on the Mongo site about a similar anomaly. If you have encountered a similar issue on Ubuntu Oneiric, please add your comments, even if you haven't found a solution to this issue.

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  • SQL SERVER – SSMS Automatically Generates TOP (100) PERCENT in Query Designer

    - by pinaldave
    Earlier this week, I was surfing various SQL forums to see what kind of help developer need in the SQL Server world. One of the question indeed caught my attention. I am here regenerating complete question as well scenario to illustrate the point in a precise manner. Additionally, I have added added second part of the question to give completeness. Question: I am trying to create a view in Query Designer (not in the New Query Window). Every time I am trying to create a view it always adds  TOP (100) PERCENT automatically on the T-SQL script. No matter what I do, it always automatically adds the TOP (100) PERCENT to the script. I have attempted to copy paste from notepad, build a query and a few other things – there is no success. I am really not sure what I am doing wrong with Query Designer. Here is my query script: (I use AdventureWorks as a sample database) SELECT Person.Address.AddressID FROM Person.Address INNER JOIN Person.AddressType ON Person.Address.AddressID = Person.AddressType.AddressTypeID ORDER BY Person.Address.AddressID This script automatically replaces by following query: SELECT TOP (100) PERCENT Person.Address.AddressID FROM Person.Address INNER JOIN Person.AddressType ON Person.Address.AddressID = Person.AddressType.AddressTypeID ORDER BY Person.Address.AddressID However, when I try to do the same from New Query Window it works totally fine. However, when I attempt to create a view of the same query it gives following error. Msg 1033, Level 15, State 1, Procedure myView, Line 6 The ORDER BY clause is invalid in views, inline functions, derived tables, subqueries, and common table expressions, unless TOP, OFFSET or FOR XML is also specified. It is pretty clear to me now that the script which I have written seems to need TOP (100) PERCENT, so Query . Why do I need it? Is there any work around to this issue. I particularly find this question pretty interesting as it really touches the fundamentals of the T-SQL query writing. Please note that the query which is automatically changed is not in New Query Editor but opened from SSMS using following way. Database >> Views >> Right Click >> New View (see the image below) Answer: The answer to the above question can be very long but I will keep it simple and to the point. There are three things to discuss in above script 1) Reason for Error 2) Reason for Auto generates TOP (100) PERCENT and 3) Potential solutions to the above error. Let us quickly see them in detail. 1) Reason for Error The reason for error is already given in the error. ORDER BY is invalid in the views and a few other objects. One has to use TOP or other keywords along with it. The way semantics of the query works where optimizer only follows(honors) the ORDER BY in the same scope or the same SELECT/UPDATE/DELETE statement. There is a possibility that one can order after the scope of the view again the efforts spend to order view will be wasted. The final resultset of the query always follows the final ORDER BY or outer query’s order and due to the same reason optimizer follows the final order of the query and not of the views (as view will be used in another query for further processing e.g. in SELECT statement). Due to same reason ORDER BY is now allowed in the view. For further accuracy and clear guidance I suggest you read this blog post by Query Optimizer Team. They have explained it very clear manner the same subject. 2) Reason for Auto Generated TOP (100) PERCENT One of the most popular workaround to above error is to use TOP (100) PERCENT in the view. Now TOP (100) PERCENT allows user to use ORDER BY in the query and allows user to overcome above error which we discussed. This gives the impression to the user that they have resolved the error and successfully able to use ORDER BY in the View. Well, this is incorrect as well. The way this works is when TOP (100) PERCENT is used the result is not guaranteed as well it is ignored in our the query where the view is used. Here is the blog post on this subject: Interesting Observation – TOP 100 PERCENT and ORDER BY. Now when you create a new view in the SSMS and build a query with ORDER BY to avoid the error automatically it adds the TOP 100 PERCENT. Here is the connect item for the same issue. I am sure there will be more connect items as well but I could not find them. 3) Potential Solutions If you are reading this post from the beginning in that case, it is clear by now that ORDER BY should not be used in the View as it does not serve any purpose unless there is a specific need of it. If you are going to use TOP 100 PERCENT with ORDER BY there is absolutely no need of using ORDER BY rather avoid using it all together. Here is another blog post of mine which describes the same subject ORDER BY Does Not Work – Limitation of the Views Part 1. It is valid to use ORDER BY in a view if there is a clear business need of using TOP with any other percentage lower than 100 (for example TOP 10 PERCENT or TOP 50 PERCENT etc). In most of the cases ORDER BY is not needed in the view and it should be used in the most outer query for present result in desired order. User can remove TOP 100 PERCENT and ORDER BY from the view before using the view in any query or procedure. In the most outer query there should be ORDER BY as per the business need. I think this sums up the concept in a few words. This is a very long topic and not easy to illustrate in one single blog post. I welcome your comments and suggestions. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Server Management Studio, SQL Tips and Tricks, SQL View, T SQL, Technology

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  • How to use MongoRegex (MongoDB C# Driver)

    - by Hery
    Has anyone have any idea how to use MongoRegex for the document search? I attempted this, but returns nothing back: var spec = new Document(); spec.Add("Name", new MongoRegex("/" + searchKey + "*/", "i")); collection.Find(spec) Wondering why it doesn't work, I tried to execute following command from the console: db.things.find({"Name":/john*/i}) /* WORKS */ db.things.find({"Name":"/john*/i"}) /* DOESN'T WORK */ Is that possible that the driver applies double quotation to the regex? Thanks..

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  • mongodb : Can create new thread on FreeBSD?

    - by user197739
    We experienced some strange thing in our mongodb gridfs platform. The platform actually is a bi Xeon E5 (bi quad core) with 128GB of memory, running on freebsd 9 with a zfs pool dedicated for mongodb. [root@mongofile1 ~]# uname -sr FreeBSD 9.1-RELEASE our /boot/loader.conf vfs.zfs.arc_min="2048M" vfs.zfs.arc_max="7680M" vm.kmem_size_max="16G" vm.kmem_size="12G" vfs.zfs.prefetch_disable="1" kern.ipc.nmbclusters="32768" /etc/sysctl.conf net.inet.tcp.msl=15000 net.inet.tcp.keepidle=300000 kern.ipc.nmbclusters=32768 kern.ipc.maxsockbuf=2097152 kern.ipc.somaxconn=8192 kern.maxfiles=65536 kern.maxfilesperproc=32768 net.inet.tcp.delayed_ack=0 net.inet.tcp.sendspace=65535 net.inet.udp.recvspace=65535 net.inet.udp.maxdgram=57344 net.local.stream.recvspace=65535 net.local.stream.sendspace=65535 we follow the recommendation for the ulimit : [root@mongofile1 ~]# su - mongodb $ ulimit -a cpu time (seconds, -t) unlimited file size (512-blocks, -f) unlimited data seg size (kbytes, -d) 33554432 stack size (kbytes, -s) 524288 core file size (512-blocks, -c) unlimited max memory size (kbytes, -m) unlimited locked memory (kbytes, -l) unlimited max user processes (-u) 5547 open files (-n) 32768 virtual mem size (kbytes, -v) unlimited swap limit (kbytes, -w) unlimited sbsize (bytes, -b) unlimited pseudo-terminals (-p) unlimited This server have a twin (same config exactly) for ReplSet in other data center and we have a virtualized arbiter. Some time, almost 3 days, the process of mongodb exit. The problem begin with: Fri Nov 8 11:27:31.741 [conn774697] end connection 192.168.10.162:47963 (23 connections now open) Fri Nov 8 11:27:31.770 [initandlisten] can't create new thread, closing connection Fri Nov 8 11:27:31.771 [rsHealthPoll] replSet member mongofile2:27017 is now in state DOWN Fri Nov 8 11:27:31.774 [initandlisten] connection accepted from 192.168.10.162:47968 #774702 (20 connections now open) Fri Nov 8 11:27:31.774 [initandlisten] connection accepted from 192.168.10.161:28522 #774703 (21 connections now open) Fri Nov 8 11:27:31.774 [initandlisten] connection accepted from 192.168.10.164:15406 #774704 (22 connections now open) Fri Nov 8 11:27:31.774 [initandlisten] connection accepted from 192.168.10.163:25750 #774705 (23 connections now open) Fri Nov 8 11:27:31.810 [initandlisten] connection accepted from 192.168.10.182:20779 #774706 (24 connections now open) Fri Nov 8 11:27:31.855 [initandlisten] connection accepted from 192.168.10.161:28524 #774707 (25 connections now open) Fri Nov 8 11:27:31.869 [initandlisten] connection accepted from 192.168.10.182:20786 #774708 (26 connections now open) and after many "can create new thread" [root@mongofile1 /usr/mongodb]# tail -n 15000 mongod.log.old |grep "create new thread"|wc 5020 55220 421680 and finish by a magnificent Fri Nov 8 11:30:22.333 [rsMgr] replSet warning caught unexpected exception in electSelf() pure virtual method called Fri Nov 8 11:30:22.333 Got signal: 6 (Abort trap: 6). Fri Nov 8 11:30:22.337 Backtrace: 0x599efc 0x8035cb516 0x599efc <_ZN5mongo10abruptQuitEi+988> at /usr/local/bin/mongod 0x8035cb516 <_pthread_sigmask+918> at /lib/libthr.so.3 Extract of mongodb from top 78126 mongodb 77 20 0 1253G 1449M sbwait 0 0:20 0.00% mongod If I restart the process when it crash, the problem is fixed for almost 3 days. Has anyone seen this before, or know of a fix?

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  • How to optimize this MySQL query

    - by James Simpson
    This query was working fine when the database was small, but now that there are millions of rows in the database, I am realizing I should have looked at optimizing this earlier. It is looking at over 600,000 rows and is Using where; Using temporary; Using filesort (which leads to an execution time of 5-10 seconds). It is using an index on the field 'battle_type.' SELECT username, SUM( outcome ) AS wins, COUNT( * ) - SUM( outcome ) AS losses FROM tblBattleHistory WHERE battle_type = '0' && outcome < '2' GROUP BY username ORDER BY wins DESC , losses ASC , username ASC LIMIT 0 , 50

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  • Find objects between two dates MongoDB

    - by Tom
    I've been playing around storing tweets inside mongodb, each object looks like this: { "_id" : ObjectId("4c02c58de500fe1be1000005"), "contributors" : null, "text" : "Hello world", "user" : { "following" : null, "followers_count" : 5, "utc_offset" : null, "location" : "", "profile_text_color" : "000000", "friends_count" : 11, "profile_link_color" : "0000ff", "verified" : false, "protected" : false, "url" : null, "contributors_enabled" : false, "created_at" : "Sun May 30 18:47:06 +0000 2010", "geo_enabled" : false, "profile_sidebar_border_color" : "87bc44", "statuses_count" : 13, "favourites_count" : 0, "description" : "", "notifications" : null, "profile_background_tile" : false, "lang" : "en", "id" : 149978111, "time_zone" : null, "profile_sidebar_fill_color" : "e0ff92" }, "geo" : null, "coordinates" : null, "in_reply_to_user_id" : 149183152, "place" : null, "created_at" : "Sun May 30 20:07:35 +0000 2010", "source" : "web", "in_reply_to_status_id" : { "floatApprox" : 15061797850 }, "truncated" : false, "favorited" : false, "id" : { "floatApprox" : 15061838001 } How would I write a query which checks the *created_at* and finds all objects between 18:47 and 19:00? Do I need to update my documents so the dates are stored in a specific format? Thanks

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  • MongoDB data directory transfer and upgrade

    - by KPL
    I just transferred my data directory (of Mongo 1.6.5) to a new server and installed Mongo 2.0 on it. I set the data directory path and did sudo server mongod restart. It failed, and the log file output says this - ***** SERVER RESTARTED ***** Sun Oct 9 07:51:47 [initandlisten] MongoDB starting : pid=8224 port=27017 dbpath=/database/mongodb 64-bit host=domU-12-31-39-09-35-81 Sun Oct 9 07:51:47 [initandlisten] db version v2.0.0, pdfile version 4.5 Sun Oct 9 07:51:47 [initandlisten] git version: 695c67dff0ffc361b8568a13366f027caa406222 Sun Oct 9 07:51:47 [initandlisten] build info: Linux bs-linux64.10gen.cc 2.6.21.7-2.ec2.v1.2.fc8xen #1 SMP Fri Nov 20 17:48:28 EST 2009 x86_64 BOOST_LIB_VERSION=1_41 Sun Oct 9 07:51:47 [initandlisten] options: { auth: "true", config: "/etc/mongod.conf", dbpath: "/database/mongodb", fork: "true", logappend: "true", logpath: "/var/log/mongo/mongod.log", nojournal: "true" } Sun Oct 9 07:51:47 [initandlisten] couldn't open /database/mongodb/local.ns errno:1 Operation not permitted Sun Oct 9 07:51:47 [initandlisten] error couldn't open file /database/mongodb/local.ns terminating Sun Oct 9 07:51:47 dbexit: Sun Oct 9 07:51:47 [initandlisten] shutdown: going to close listening sockets... Sun Oct 9 07:51:47 [initandlisten] shutdown: going to flush diaglog... Sun Oct 9 07:51:47 [initandlisten] shutdown: going to close sockets... Sun Oct 9 07:51:47 [initandlisten] shutdown: waiting for fs preallocator... Sun Oct 9 07:51:47 [initandlisten] shutdown: closing all files... Sun Oct 9 07:51:47 [initandlisten] closeAllFiles() finished Sun Oct 9 07:51:47 [initandlisten] shutdown: removing fs lock... Sun Oct 9 07:51:47 dbexit: really exiting now I have already run it with --upgrade once.

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  • Updating a specific key/value inside of an array field with MongoDB

    - by Jesta
    As a preface, I've been working with MongoDB for about a week now, so this may turn out to be a pretty simple answer. I have data already stored in my collection, we will call this collection content, as it contains articles, news, etc. Each of these articles contains another array called author which has all of the author's information (Address, Phone, Title, etc). The Goal - I am trying to create a query that will update the author's address on every article that the specific author exists in, and only the specified author block (not others that exist within the array). Sort of a "Global Update" to a specific article that affects his/her information on every piece of content that exists. Here is an example of what the content with the author looks like. { "_id" : ObjectId("4c1a5a948ead0e4d09010000"), "authors" : [ { "user_id" : null, "slug" : "joe-somebody", "display_name" : "Joe Somebody", "display_title" : "Contributing Writer", "display_company_name" : null, "email" : null, "phone" : null, "fax" : null, "address" : null, "address2" : null, "city" : null, "state" : null, "zip" : null, "country" : null, "image" : null, "url" : null, "blurb" : null }, { "user_id" : null, "slug" : "jane-somebody", "display_name" : "Jane Somebody", "display_title" : "Editor", "display_company_name" : null, "email" : null, "phone" : null, "fax" : null, "address" : null, "address2" : null, "city" : null, "state" : null, "zip" : null, "country" : null, "image" : null, "url" : null, "blurb" : null }, ], "tags" : [ "tag1", "tag2", "tag3" ], "title" : "Title of the Article" } I can find every article that this author has created by running the following command: db.content.find({authors: {$elemMatch: {slug: 'joe-somebody'}}}); So theoretically I should be able to update the authors record for the slug joe-somebody but not jane-somebody (the 2nd author), I am just unsure exactly how you reach in and update every record for that author. I thought I was on the right track, and here's what I've tried. b.content.update( {authors: {$elemMatch: {slug: 'joe-somebody'} } }, {$set: {address: '1234 Avenue Rd.'} }, false, true ); I just believe there's something I am missing in the $set statement to specify the correct author and point inside of the correct array. Any ideas? **Update** I've also tried this now: b.content.update( {authors: {$elemMatch: {slug: 'joe-somebody'} } }, {$set: {'authors.$.address': '1234 Avenue Rd.'} }, false, true );

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  • Mongodb performance on Windows

    - by Chris
    I've been researching nosql options available for .NET lately and MongoDB is emerging as a clear winner in terms of availability and support, so tonight I decided to give it a go. I downloaded version 1.2.4 (Windows x64 binary) from the mongodb site and ran it with the following options: C:\mongodb\bin>mkdir data C:\mongodb\bin>mongod -dbpath ./data --cpu --quiet I then loaded up the latest mongodb-csharp driver from http://github.com/samus/mongodb-csharp and immediately ran the benchmark program. Having heard about how "amazingly fast" MongoDB is, I was rather shocked at the poor benchmark performance. Starting Tests encode (small).........................................320000 00:00:00.0156250 encode (medium)........................................80000 00:00:00.0625000 encode (large).........................................1818 00:00:02.7500000 decode (small).........................................320000 00:00:00.0156250 decode (medium)........................................160000 00:00:00.0312500 decode (large).........................................2370 00:00:02.1093750 insert (small, no index)...............................2176 00:00:02.2968750 insert (medium, no index)..............................2269 00:00:02.2031250 insert (large, no index)...............................778 00:00:06.4218750 insert (small, indexed)................................2051 00:00:02.4375000 insert (medium, indexed)...............................2133 00:00:02.3437500 insert (large, indexed)................................835 00:00:05.9843750 batch insert (small, no index).........................53333 00:00:00.0937500 batch insert (medium, no index)........................26666 00:00:00.1875000 batch insert (large, no index).........................1114 00:00:04.4843750 find_one (small, no index).............................350 00:00:14.2812500 find_one (medium, no index)............................204 00:00:24.4687500 find_one (large, no index).............................135 00:00:37.0156250 find_one (small, indexed)..............................352 00:00:14.1718750 find_one (medium, indexed).............................184 00:00:27.0937500 find_one (large, indexed)..............................128 00:00:38.9062500 find (small, no index).................................516 00:00:09.6718750 find (medium, no index)................................316 00:00:15.7812500 find (large, no index).................................216 00:00:23.0468750 find (small, indexed)..................................532 00:00:09.3906250 find (medium, indexed).................................346 00:00:14.4375000 find (large, indexed)..................................212 00:00:23.5468750 find range (small, indexed)............................440 00:00:11.3593750 find range (medium, indexed)...........................294 00:00:16.9531250 find range (large, indexed)............................199 00:00:25.0625000 Press any key to continue... For starters, I can get better non-batch insert performance from SQL Server Express. What really struck me, however, was the slow performance of the find_nnnn queries. Why is retrieving data from MongoDB so slow? What am I missing? Edit: This was all on the local machine, no network latency or anything. MongoDB's CPU usage ran at about 75% the entire time the test was running. Edit 2: Also, I ran a trace on the benchmark program and confirmed that 50% of the CPU time spent was waiting for MongoDB to return data, so it's not a performance issue with the C# driver.

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  • Does the use of mongodb it easier to extend/change database driven applications?

    - by developer10214
    When an application is created which need to store data, an SQL database is used very often. So did I in a lot of asp.net applications. The resulting applications have often an ORM like the entity framework and maybe a business layer. So when such an application needs to be extended(let's say you have to add a comment property to an object), you have to change/extend the database, then the ORM and the business layer and so on. To deploy the changes you have to update the target database and the application. I know that things like code first and fluent can make this approach easier. I tried mongodb, I only used the standard driver and I had to extend some objects and all I had to do was changing the code. So it feels that such approaches are much easier to realize when using mongodb. I don't have much experience with larger applications an mongodb. I know that a SQL database or mongodb doesn't fit for all needs and both have their pros and cons. I want to know if my feeling is right, if yes I would choose rather choose mongodb than SQL database.

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  • Does the use of mongodb enhance extending/changing database driven applications?

    - by developer10214
    When an application is created which need to store data, an SQL database is used very often. So did I in a lot of asp.net applications. The resulting applications have often an ORM like the entity framework and maybe a business layer. So when such an application needs to be extended(let's say you have to add a comment property to an object), you have to change/extend the database, then the ORM and the business layer and so on. To deploy the changes you have to update the target database and the application. I know that things like code first and fluent can make this approach easier. I tried mongodb, I only used the standard driver and I had to extend some objects and all I had to do was changing the code. So it feels that such approaches are much easier to realize when using mongodb. I don't have much experience with larger applications an mongodb. I know that a SQL database or mongodb doesn't fit for all needs and both have their pros and cons. I want to know if my feeling is right, if yes I would choose rather choose mongodb than SQL database.

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  • Working with mongodb from Java

    - by demas
    I have launch mongodb server: [[email protected]][~]% mongod --dbpatmongod --dbpath /home/demas/temp/ Mon Apr 19 09:44:18 Mongo DB : starting : pid = 4538 port = 27017 dbpath = /home/demas/temp/ master = 0 slave = 0 32-bit ** NOTE: when using MongoDB 32 bit, you are limited to about 2 gigabytes of data ** see http://blog.mongodb.org/post/137788967/32-bit-limitations for more Mon Apr 19 09:44:18 db version v1.4.0, pdfile version 4.5 Mon Apr 19 09:44:18 git version: nogitversion Mon Apr 19 09:44:18 sys info: Linux arch.local.net 2.6.33-ARCH #1 SMP PREEMPT Mon Apr 5 05:57:38 UTC 2010 i686 BOOST_LIB_VERSION=1_41 Mon Apr 19 09:44:18 waiting for connections on port 27017 Mon Apr 19 09:44:18 web admin interface listening on port 28017 I have created documents by console client: [[email protected]][~]% mongo MongoDB shell version: 1.4.0 url: test connecting to: test type "help" for help > db.some.find(); { "_id" : ObjectId("4bcbef3c3be43e9b7e04ef3d"), "name" : "mongo" } { "_id" : ObjectId("4bcbef423be43e9b7e04ef3e"), "x" : 3 } Now I am trying to work with MongoDb from Java: import com.mongodb.*; import java.net.UnknownHostException; public class test1 { public static void main(String[] args) { System.out.println("Start"); try { Mongo m = new Mongo("localhost", 27017); DB db = m.getDB("test"); DBCollection coll = db.getCollection("some"); coll.insert(makeDocument(10, "James", "male")); System.out.println("Finish"); } catch (UnknownHostException ex) { ex.printStackTrace(); } catch (MongoException ex) { ex.printStackTrace(); } } public static BasicDBObject makeDocument(int id, String name, String gender) { BasicDBObject doc = new BasicDBObject(); doc.put("id", id); doc.put("name", name); doc.put("gender", gender); return doc; } } But execution stops on line coll.insert(): [[email protected]][~/dev/study/java/mongodb]% javac test1.java [[email protected]][~/dev/study/java/mongodb]% java test1 Start There are not messages from mogodb server regarding accepted connection. Why?

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  • SQL SERVER – Quiz and Video – Introduction to Basics of a Query Hint

    - by pinaldave
    This blog post is inspired from SQL Architecture Basics Joes 2 Pros: Core Architecture concepts – SQL Exam Prep Series 70-433 – Volume 3. [Amazon] | [Flipkart] | [Kindle] | [IndiaPlaza] This is follow up blog post of my earlier blog post on the same subject - SQL SERVER – Introduction to Basics of a Query Hint – A Primer. In the article we discussed various basics terminology of the query hints. The article further covers following important concepts of query hints. Expecting Seek and getting a Scan Creating an index for improved optimization Implementing the query hint Above three are the most important concepts related to query hint and SQL Server.  There are many more things one has to learn but without beginners fundamentals one can’t learn the advanced  concepts. Let us have small quiz and check how many of you get the fundamentals right. Quiz 1) You have the following query: DECLARE @UlaChoice TinyInt SET @Type = 1 SELECT * FROM LegalActivity WHERE UlaChoice = @UlaChoice You have a nonclustered index named IX_Legal_Ula on the UlaChoice field. The Primary key is on the ID field and called PK_Legal_ID 99% of the time the value of the @UlaChoice is set to ‘YP101′. What query will achieve the best optimization for this query? SELECT * FROM LegalActivity WHERE UlaChoice = @UlaChoice WITH(INDEX(X_Legal_Ula)) SELECT * FROM LegalActivity WHERE UlaChoice = @UlaChoice WITH(INDEX(PK_Legal_ID)) SELECT * FROM LegalActivity WHERE UlaChoice = @UlaChoice OPTION (Optimize FOR(@UlaChoice = ‘YP101′)) 2) You have the following query: SELECT * FROM CurrentProducts WHERE ShortName = ‘Yoga Trip’ You have a nonclustered index on the ShortName field and the query runs an efficient index seek. You change your query to use a variable for ShortName and now you are using a slow index scan. What query hint can you use to get the same execution time as before? WITH LOCK FAST OPTIMIZE FOR MAXDOP READONLY Now make sure that you write down all the answers on the piece of paper. Watch following video and read earlier article over here. If you want to change the answer you still have chance. Solution 1) 3 2) 4 Now compare let us check the answers and compare your answers to following answers. I am very confident you will get them correct. Available at USA: Amazon India: Flipkart | IndiaPlaza Volume: 1, 2, 3, 4, 5 Please leave your feedback in the comment area for the quiz and video. Did you know all the answers of the quiz? Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Joes 2 Pros, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • Using mongodump with an auth enabled mongodb server

    - by bb-generation
    I'm trying to do a daily backup of my mongodb server (auth enabled) using the mongodump tool. mongodump provides two parameters to set the credentials: -u [ --username ] arg username -p [ --password ] arg password Unfortunately they don't provide any parameter to read the password from stdin. Therefore everytime I run this command, everyone on the server can read the password (e.g. by using ps aux). The only workaround I have found is stopping the database and directly accessing the database files using the --dbpath parameter. Is there any other solution which allows me to backup the mongodb database without stopping the server and without "publishing" my password? I am using Debian squeeze 6.0.5 amd64 with mongodb 1.4.4-3.

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  • How to make a secure MongoDB server?

    - by Earlz
    Hello, I'm wanting my website to use MongoDB as it's datastore. I've used MongoDB in my development environment with no worries, but I'm worried about security with a public server. My server is a VPS running Arch Linux. The web application will also be running on it, so it only needs to accept connections from localhost. And no other users(by ssh or otherwise) will have direct access to my server. What should I do to secure my instance of MongoDB?

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  • Backup Mongodb on EC2 through EBS snapshots - timing issue

    - by DmitrySemenov
    I'm following this guidance http://docs.mongodb.org/ecosystem/tutorial/backup-and-restore-mongodb-on-amazon-ec2/ I have 4 EBS 1000 IOPS volumes assigned to instance These 4 volumes through MDADM assembled into software RAID10 array. I want to do backups through EBS Snapshots as explained in the article above Question: Mongodb says - that I need to mongo shelldb.runCommand({fsync:1,lock:1}); -- this will lock the db for writing ....run snapshot creation... mongo shell db.$cmd.sys.unlock.findOne(); -- this will unlock the db for writing so do I need to unlock the DB for writing after I issued the comand ec2-create-snapshot or after it's finished and the actual snapshot is created thanks, Dmitry

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  • SQL SERVER – Discard Results After Query Execution – SSMS

    - by pinaldave
    The first thing I do any day is to turn on the computer. Today I woke up and as soon as I turned on the computer I saw a chat message from a friend. He was a bit confused and wanted me to help him. Just as usual I am keeping the relevant conversation in focus and documenting our conversation as chat. Let us call him Ajit. Ajit: Pinal, every time I run a query there is no result displayed in the SSMS but when I run the query in my application it works and returns an appropriate result. Pinal:  Have you tried with different parameters? Ajit: Same thing. However, it works from another computer when I connect to the same server with the same query parameters? Pinal: What? That is new and I believe it is something to do with SSMS and not with the server. Send me screenshot please. Ajit: I believe so, let me send you a screenshot, Pinal: (looking at the screenshot) Oh man, there is no result-tab at all. Ajit: That is what the problem is. It does not have the tab which displays the result. This works just fine from another computer. Pinal: Have you referred Nakul’s blog post – SSMS – Query result options – Discard result after query executes, that talks about setting which can discard the query results after execution. (After a while) Ajit: I think it seems like on the computer where I am running the query my SSMS seems to have the option enabled related to discarding results. I fixed it by following Nakul’s blog post. Pinal: Great! Quite often I get the question what is the importance of the feature. Let us first see how to turn on or turn off this feature in SQL Server Management Studio 2012. In SSMS 2012 go to Tools >> Options >> Query Results > SQL Server >> Results to Grid >> Discard Results After Query Execution. When enabled this option will discard results after the execution. The advantage of disabling the option is that it will improve the performance by using less memory. However the real question is why would someone enable or disable the option. What are the cases when someone wants to run the query but do not care about the result? Matter of the fact, it does not make sense at all to run query and not care about the result. The matter of the fact, I can see quite a few reasons for using this option. I often enable this option when I am doing performance tuning exercise. During performance tuning exercise when I am working with execution plans and do not need results to verify every time or when I am tuning Indexes and its effect on execution plan I do not need the results. In this kind of situations I do keep this option on and discard the results. It always helps me big time as in most of the performance tuning exercise I am dealing with huge amount of the data and dealing with this data can be expensive. Nakul’s has done the experiment here already but I am going to repeat the same again using AdventureWorks Database. Run following T-SQL Script with and without enabling the option to discard the results. USE AdventureWorks2012 GO SELECT * FROM Sales.SalesOrderDetail GO 10 After enabling Discard Results After Query Execution After disabling Discard Results After Query Execution Well, this is indeed a good option when someone is debugging the execution plan or does not want the result to be displayed. Please note that this option does not reduce IO or CPU usage for SQL Server. It just discards the results after execution and a good help for debugging on the development server. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Server Management Studio, SQL Tips and Tricks, T SQL, Technology

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  • SQL server recursive query error.The maximum recursion 100 has been exhausted before statement completion

    - by ienax_ridens
    I have a recursive query that returns an error when I run it; in other databases (with more data) I have not the problem. In my case this query returns 2 colums (ID_PARENT and ID_CHILD) doing a recursion because my tree can have more than one level, bit I wanna have only "direct" parent. NOTE: I tried to put OPTION (MAXRECURSION 0) at the end of the query, but with no luck. The following query is only a part of the entire query, I tried to put OPTION only at the end of the "big query" having a continous running query, but no errors displayed. Error have in SQL Server: "The statement terminated.The maximum recursion 100 has been exhausted before statement completion" The query is the following: WITH q AS (SELECT ID_ITEM, ID_ITEM AS ID_ITEM_ANCESTOR FROM ITEMS_TABLE i JOIN ITEMS_TYPES_TABLE itt ON itt.ID_ITEM_TYPE = i.ID_ITEM_TYPE UNION ALL SELECT i.ID_ITEM, q.ID_ITEM_ANCESTOR FROM q JOIN ITEMS_TABLE i ON i.ID_ITEM_PADRE = q.ID_ITEM JOIN ITEMS_TYPES_TABLE itt ON itt.ID_ITEM_TYPE = i.ID_ITEM_TYPE) SELECT ID_ITEM AS ID_CHILD, ID_ITEM_ANCESTOR AS ID_PARENT FROM q I need a suggestion to re-write this query to avoid the error of recursion and see the data, that are few.

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  • MongoDB initialization error in Rails

    - by rube_noob
    I have an initialization script to set up my MongoDB connection in the config/initialization directory. It is my understanding that these initializers run after all of the plugins are initialized. The problem I am having is that when a particular plugin I am using is initialized, it tries to access the mongodb before I have set it up. I get this error: uninitialized class variable @@database_name in MongoMapper My question is: Where can I initialize Mongodb that will run after the mongodb gem has been loaded and before any of the plugins are initialized?

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  • Can't setup 3 nodes MongoDB recplica set

    - by Victor Lin
    I just follow instructions in MongoDB document Replica Sets - Basics to setup a 3-node Replica set. Everything goes fine when I do the initiate and add first node in the primary. [foo@host-a mongodb]$ bin/mongo localhost MongoDB shell version: 1.8.2 connecting to: localhost > rs.initiate() { "info2" : "no configuration explicitly specified -- making one", "info" : "Config now saved locally. Should come online in about a minute.", "ok" : 1 } > rs.add("host-b") { "ok" : 1 } So far so good, but when I try to add third node myset:PRIMARY> rs.addArb("host-c") Sun Aug 7 22:57:09 MessagingPort recv() errno:104 Connection reset by peer 127.0.0.1:27017 Sun Aug 7 22:57:09 SocketException: remote: error: 9001 socket exception [1] Sun Aug 7 22:57:09 DBClientCursor::init call() failed Sun Aug 7 22:57:09 query failed : local.$cmd { count: "system.replset", query: {}, fields: {} } to: 127.0.0.1 Sun Aug 7 22:57:09 Error: error doing query: failed shell/collection.js:150 Sun Aug 7 22:57:09 trying reconnect to 127.0.0.1 Sun Aug 7 22:57:09 reconnect 127.0.0.1 ok As result, the current primary became secondary, and the host-b was marked as dead, but actually, it is still alive. myset:SECONDARY> rs.status() { "set" : "myset", "date" : ISODate("2011-08-08T04:03:23Z"), "myState" : 2, "members" : [ { "_id" : 0, "name" : "host-a:27017", "health" : 1, "state" : 2, "stateStr" : "SECONDARY", "optime" : { "t" : 1312775799000, "i" : 1 }, "optimeDate" : ISODate("2011-08-08T03:56:39Z"), "self" : true }, { "_id" : 1, "name" : "host-b", "health" : 0, "state" : 6, "stateStr" : "(not reachable/healthy)", "uptime" : 0, "optime" : { "t" : 0, "i" : 0 }, "optimeDate" : ISODate("1970-01-01T00:00:00Z"), "lastHeartbeat" : ISODate("2011-08-08T04:03:22Z"), "errmsg" : "still initializing" } ], "ok" : 1 } How could this happen? I just follow the guide in the document, did I do something wrong? Moreover, I can't do anything on current secondary server. It doesn't allow me to reconfig on the secondary node, but the problem is there is no primary node. myset:SECONDARY> rs.reconfig({}) { "errmsg" : "replSetReconfig command must be sent to the current replica set primary.", "ok" : 0 } Any ideas?

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