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• Newbie, deciding Python or Erlang

  - by Joe

  Hi Guys, I'm a Administrator (unix, Linux and some windows apps such as Exchange) by experience and have never worked on any programming language besides C# and scripting on Bash and lately on powershell. I'm starting out as a service provider and using multiple network/server monitoring tools based on open source (nagios, opennms etc) in order to monitor them. At this moment, being inspired by a design that I came up with, to do more than what is available with the open source at this time, I would like to start programming and test some of these ideas. The requirement is that a server software that captures a stream of data and store them in a database(CouchDB or MongoDB preferably) and the client side (agent installed on a server) would be sending this stream of data on a schedule of every 10 minutes or so. For these two core ideas, I have been reading about Python and Erlang besides ruby. I do plan to use either Amazon or Rackspace where the server platform would run. This gives me the scalability needed when we have more customers with many servers. For that reason alone, I thought Erlang was a better fit(I could be totally wrong, new to this game) and I understand that Erlang has limited support in some ways compared to Ruby or Python. But also I'm totally new to the programming realm of things and any advise would be appreciated grately. Jo

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• simple document server built over Apache HTTP server

  - by abhinav

  Hi, I want to build a simple document server. The requirement for now is : provide a hierarchical directory structure for placing documents (like pdfs, doc files) that is accessible through a browser, and provide the facility to search for documents by name and then be able to download them from server. Right now, placing documents can be done manually (directly place the files into some designated directory). I can do the hierarchical structure part of the problem by adding some configs to Apache's httpd.conf file. Basically I create a root directory for documents and then give an alias to this directory in httpd.conf file. That way, I can browse the directory structure in my browser and also download files placed there. I can provide more detail on this if needed. However, it is the searching documents by name part that I am not able to get to a clear solution yet. I have a few ideas like integrating Lucene with Apache server, or maybe using CouchDb, but I am not very sure of all the details to solve this problem. Could anyone suggest some clear approach as to how to solve this part ?

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• Is Berkeley DB XML a viable database backend?

  - by w00t

  Apparently, BDB-XML has been around since at least 2003 but I only recently stumbled upon it on Oracle's website: Berkeley DB XML. Here's the blurb: Oracle Berkeley DB XML is an open source, embeddable XML database with XQuery-based access to documents stored in containers and indexed based on their content. Oracle Berkeley DB XML is built on top of Oracle Berkeley DB and inherits its rich features and attributes. Like Oracle Berkeley DB, it runs in process with the application with no need for human administration. Oracle Berkeley DB XML adds a document parser, XML indexer and XQuery engine on top of Oracle Berkeley DB to enable the fastest, most efficient retrieval of data. To me it seems that the underlying ideas are technically sound and probably more mature than the newer document-based DBs like CouchDB or MongoDB. It has support for C, C++, Ruby and Perl, as far as I can determine. It even has HA-capabilities like automatic replication using a master/slave model with automatic election. However, I can't seem to find any projects that use it. Is there something fundamentally wrong with it? Is the license too onerous? Is it too complicated? Why is it not being used?

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• Newtonsoft JSON Interface Serialization error

  - by Ben

  I am using C# .NET 4.0, Newtonsoft JSON 4.5.0. public class Recipe { [JsonProperty(TypeNameHandling = TypeNameHandling.All)] public List<IFood> Foods{ get; set; } ... } I want to serialize and deserialize this Recipe object. If I serialize and deserialize the object during application lifetime this succeeds, but if I serialize the object, exit application and then deserialize it then it throws an exception, that it cannot instantiate IFood (since it is an interface). The problem is that it does not serialize the implementation of interface. "$type": "System.Collections.Generic.List`1[[NSM.Shared.Models.IFood, NSMShared]], mscorlib" I tried using TypeNameHandling.Object and Array and Auto, but it didn't help. Is there any way to serialize it properly? Or at least to define the class mapping before deserializing? EDIT: I am using JSON coupled with Hammock ( http://code.google.com/p/relax-net/ ), C# driver for CouchDB, which internally serializes and deserializes objects. As mentioned the problem is that it does not serialize the interface implementation.

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• Getting started with massive data

  - by Max

  I'm a math guy and occasionally do some statistics/machine learning analysis consulting projects on the side. The data I have access to are usually on the smaller side, at most a couple hundred of megabytes (and almost always far less), but I want to learn more about handling and analyzing data on the gigabyte/terabyte scale. What do I need to know and what are some good resources to learn from? Hadoop/MapReduce is one obvious start. Is there a particular programming language I should pick up? (I primarily work now in Python, Ruby, R, and occasionally Java, but it seems like C and Clojure are often used for large-scale data analysis?) I'm not really familiar with the whole NoSQL movement, except that it's associated with big data. What's a good place to learn about it, and is there a particular implementation (Cassandra, CouchDB, etc.) I should get familiar with? Where can I learn about applying machine learning algorithms to huge amounts of data? My math background is mostly on the theory side, definitely not on the numerical or approximation side, and I'm guessing most of the standard ML algorithms don't really scale. Any other suggestions on things to learn would be great!

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• What kind of storage with two-way replication for multi site C# application?

  - by twk

  Hi I have a web-based system written using asp.net backed by mssql. A synchronized replica of this system is to be run on mobile locations and must be available regardless of the state of the connection to the main system (few hours long interruptions happens). For now I am using a copy of the main web application and a copy of the mssql server with merge replication to the main system. This works unreliably, and setting the replication is a pain. The amount of data the system contains is not huge, so I can migrate to different storage type. For the new version of this system I would like to implement a new replication system. I am considering migration to db4o for storage with it's replication support. I am thinking about other possible solutions like couchdb which had native replication support. I would like to stay with C#. Could you recommend a way to go for such a distributed environment? PS. Master-Slave replication is not an option: any side must be allowed to add/update data.

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• Simplest distributed persistent key/value store that supports primary key range queries

  - by StaxMan

  I am looking for a properly distributed (i.e. not just sharded) and persisted (not bounded by available memory on single node, or cluster of nodes) key/value ("nosql") store that does support range queries by primary key. So far closest such system is Cassandra, which does above. However, it adds support for other features that are not essential for me. So while I like it (and will consider using it of course), I am trying to figure out if there might be other mature projects that implement what I need. Specifically, for me the only aspect of value I need is to access it as a blob. For key, however, I need range queries (as in, access values ordered, limited by start and/or end values). While values can have structures, there is no need to use that structure for anything on server side (can do client-side data binding, flexible value/content types etc). For added bonus, Cassandra style storage (journaled, all sequential writes) seems quite optimal for my use case. To help filter out answers, I have investigated some alternatives within general domain like: Voldemort (key/value, but no ordering) and CouchDB (just sharded, more batch-oriented); and am aware of systems that are not quite distributed while otherwise qualifying (bdb variants, tokyo cabinet itself (not sure if Tyrant might qualify), redis (in-memory store only)).

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• Delivering activity feed items in a moderately scalable way

  - by sotangochips

  The application I'm working on has an activity feed where each user can see their friends' activity (much like Facebook). I'm looking for a moderately scalable way to show a given users' activity stream on the fly. I say 'moderately' because I'm looking to do this with just a database (Postgresql) and maybe memcached. For instance, I want this solution to scale to 200k users each with 100 friends. Currently, there is a master activity table that stores the rendered html for the given activity (Jim added a friend, George installed an application, etc.). This master activity table keeps the source user, the html, and a timestamp. Then, there's a separate ('join') table that simply keeps a pointer to the person who should see this activity in their friend feed, and a pointer to the object in the main activity table. So, if I have 100 friends, and I do 3 activities, then the join table will then grow to 300 items. Clearly this table will grow very quickly. It has the nice property, though, that fetching activity to show to a user takes a single (relatively) inexpensive query. The other option is to just keep the main activity table and query it by saying something like: select * from activity where source_user in (1, 2, 44, 2423, ... my friend list) This has the disadvantage that you're querying for users who may never be active, and as your friend list grows, this query can get slower and slower. I see the pros and the cons of both sides, but I'm wondering if some SO folks might help me weigh the options and suggest one way or they other. I'm also open to other solutions, though I'd like to keep it simple and not install something like CouchDB, etc. Many thanks!

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• Are there any NOSQL-compatible CMS projects?

  - by Michael

  This question is partially related to an older question (Any CMS is Google App Engine compatible?) , but is slightly more general. It seems that in most CMS systems, the most fragile failure point is the database. Traditional database implementations scale poorly and will never be able to handle unforeseen spikes of traffic. Since Google App Engine was designed to help even small businesses overcome that problem, I had the same question that was asked earlier this year with less than satisfactory answers. But more generally, where are the CMS projects that support NOSQL databases? Looking over Wikipedia's list of CMS platforms, I see without much effort that only traditional RDBMS are supported by every single vendor on the list. I would have expected to see at least one or two projects handling CouchDB or similar engines. I understand the complexities of implementing a NOSQL solution to a problem that is typically solved using the relations cleanly expressed in any RDBMS, but there seems to be a rather wide market gap. Since databases are, today, easily outsourced to Google, Amazon, and others which use NOSQL models, I am amazed that there are not more projects actively pursuing this path. Am I simply not aware? Can someone please point me to projects that have real momentum that are developing on this path? I'm looking for two things: a CMS that has as its backbone a NOSQL database enabling easy database outsourcing (hosted MySQL clusters and similar solutions are not what I'm looking for) a project that is built to run on either a PaaS architecture like Google App Engine or an IaaS architecture like Amazon EC2 Any pointers in that direction would be most welcome.

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• passwd ldap request to ActiveDirectory fails on half of 2500 users

  - by groovehunter

  We just setup ActiveDirectory in my company and imported all linux users and groups. On the linux client: (configured to ask ldap in nsswitch.conf): If i do a common ldapsearch to the AD ldap server i get the complete number of about 2580 users. But if i do this it only gets a part of all users, 1221 in number: getent passwd | wc -l Running it with strace shows kind of attempt to reconnect My ideas were: Does the linux authentication procedure run ldapsearch with a parameter incompatible to AD ldap ? Or probably it is a encoding issue. The windows user are entered in AD with all kind of characters. Maybe someone could shed light on this and give a hint how to debug that further!? Here's our ldap.conf host audc01.mycompany.de audc03.mycompany.de base ou=location,dc=mycompany,dc=de ldap_version 3 binddn cn=manager,ou=location,dc=mycompany,dc=de bindpw Password timelimit 120 idle_timelimit 3600 nss_base_passwd cn=users,cn=import,ou=location,dc=mycompany,dc=de?sub nss_base_group ou=location,dc=mycompany,dc=de?sub # RFC 2307 (AD) mappings nss_map_objectclass posixAccount User # nss_map_objectclass shadowAccount User nss_map_objectclass posixGroup Group nss_map_attribute uid sAMAccountName nss_map_attribute cn sAMAccountName # Display Name nss_map_attribute gecos cn ## nss_map_attribute homeDirectory unixHomeDirectory nss_map_attribute loginShell msSFU30LoginShell # PAM attributes pam_login_attribute sAMAccountName # Location based login pam_groupdn CN=Location-AU-Login,OU=au,OU=Location,DC=mycompany,DC=de pam_member_attribute msSFU30PosixMember ## pam_lookup_policy yes pam_filter objectclass=User nss_initgroups_ignoreusers avahi,avahi-autoipd,backup,bin,couchdb,daemon,games,gdm,gnats,haldaemon,hplip,irc,kernoops,libuuid,list,lp,mail,man,messagebus,news,proxy,pulse,root,rtkit,saned,speech-dispatcher,statd,sync,sys,syslog,usbmux,uucp,www-data and here the stacktrace from strace getent passwd poll([{fd=4, events=POLLIN|POLLPRI|POLLERR|POLLHUP}], 1, 120000) = 1 ([{fd=4, revents=POLLIN}]) read(4, "0\204\0\0\0A\2\1", 8) = 8 read(4, "\4e\204\0\0\0\7\n\1\0\4\0\4\0\240\204\0\0\0+0\204\0\0\0%\4\0261.2."..., 63) = 63 stat64("/etc/ldap.conf", {st_mode=S_IFREG|0644, st_size=1151, ...}) = 0 geteuid32() = 12560 getsockname(4, {sa_family=AF_INET, sin_port=htons(60334), sin_addr=inet_addr("10.1.35.51")}, [16]) = 0 getpeername(4, {sa_family=AF_INET, sin_port=htons(389), sin_addr=inet_addr("10.1.5.81")}, [16]) = 0 time(NULL) = 1297684722 rt_sigaction(SIGPIPE, {SIG_DFL, [], 0}, NULL, 8) = 0 munmap(0xb7617000, 1721) = 0 close(3) = 0 rt_sigaction(SIGPIPE, {SIG_IGN, [], 0}, {SIG_DFL, [], 0}, 8) = 0 rt_sigaction(SIGPIPE, {SIG_DFL, [], 0}, NULL, 8) = 0 rt_sigaction(SIGPIPE, {SIG_IGN, [], 0}, {SIG_DFL, [], 0}, 8) = 0 write(4, "0\5\2\1\5B\0", 7) = 7 shutdown(4, 2 /* send and receive */) = 0 close(4) = 0 shutdown(-1, 2 /* send and receive */) = -1 EBADF (Bad file descriptor) close(-1) = -1 EBADF (Bad file descriptor) exit_group(0) = ?

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• 2 servers, high availability and faster response

  - by user17886

  I recently bought a second webserver because I worry about hardware failure of my old server. Now that I have that second server I wish to do a little more then just have one server standby and replicate all day. As long as it's there I might as well get some advantage our of it ! I have a website powered by ubuntu 12.04, nginx, php-fpm, apc, mysql (5.5) and couchdb. Im currently testing configurations where i can achieve failover AND make good use of the extra harware for faster responses / distributed load. The setup I am testing nowinvolves heartbeat for ip failover and two identical servers. Of the two servers only one has a public ip adress. If one server crashes the other server takes over the public ip adress. On an incoming request nginx forwards the request tot php-fpm to either server a of server b (50/50 if both servers are alive). Once the request has been send to php-fpm both servers look at localhost for the mysql server. I use master-master mysql replication for this. The file system is synced with lsyncd. This works pretty well but Im reading it's discouraged by the (mysql) community. Another option I could think of is to use one server as a mysql master and one server as a web/php server. The servers would still sync their filesystem, would still run the same duplicate software (nginx,mysql) but master slave mysql replication could be used. As long as bother servers are alive I could just prefer nginx to listen to ip a and mysql to ip b. If one server is down, the other server could take over the task of the other server, simply by ip switching. But im completely new at this so I would greatly value your expert advice. Is either of the two setups any good ? If you have any thoughts on this please let me know ! PS, virtualisation, hosting on different locations or active/passive setups are not solutions im looking for. I find virtual server either too slow or too expensive. I already have a passive failover on another location. But in case of a crash I found the site was still unreachable for too long due to dns caching.

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• How Do I Prevent Rails From Treating Updated Nested Attributes Differently From New Nested Attribute

  - by James

  I am using rails3 beta3 and couchdb via couchrest. I am not using active record. I want to add multiple "Sections" to a "Guide" and add and remove sections dynamically via a little javascript. I have looked at all the screencasts by Ryan Bates and they have helped immensely. The only difference is that I want to save all the sections as an array of sections instead of individual sections. Basically like this: "sections" => [{"title" => "Foo1", "content" => "Bar1"}, {"title" => "Foo2", "content" => "Bar2"}] So, basically I need the params hash to look like that when the form is submitted. When I create my form I am doing the following: <%= form_for @guide, :url => { :action => "create" } do |f| %> <%= render :partial => 'section', :collection => @guide.sections %> <%= f.submit "Save" %> <% end %> And my section partial looks like this: <%= fields_for "sections[]", section do |guide_section_form| %> <%= guide_section_form.text_field :section_title %> <%= guide_section_form.text_area :content, :rows => 3 %> <% end %> Ok, so when I create the guide with sections, it is working perfectly as I would like. The params hash is giving me a sections array just like I would want. The problem comes when I want edit guide/sections and save them again because rails is inserting the id of the guide in the id and name of each form field, which is screwing up the params hash on form submission. Just to be clear, here is the raw form output for a new resource: <input type="text" size="30" name="sections[][section_title]" id="sections__section_title"> <textarea rows="3" name="sections[][content]" id="sections__content" cols="40"></textarea> And here is what it looks like when editing an existing resource: <input type="text" value="Foo1" size="30" name="sections[cd2f2759895b5ae6cb7946def0b321f1][section_title]" id="sections_cd2f2759895b5ae6cb7946def0b321f1_section_title"> <textarea rows="3" name="sections[cd2f2759895b5ae6cb7946def0b321f1][content]" id="sections_cd2f2759895b5ae6cb7946def0b321f1_content" cols="40">Bar1</textarea> How do I force rails to always use the new resource behavior and not automatically add the id to the name and value. Do I have to create a custom form builder? Is there some other trick I can do to prevent rails from putting the id of the guide in there? I have tried a bunch of stuff and nothing is working. Thanks in advance!

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• Data aggregation mongodb vs mysql

  - by Dimitris Stefanidis

  I am currently researching on a backend to use for a project with demanding data aggregation requirements. The main project requirements are the following. Store millions of records for each user. Users might have more than 1 million entries per year so even with 100 users we are talking about 100 million entries per year. Data aggregation on those entries must be performed on the fly. The users need to be able to filter on the entries by a ton of available filters and then present summaries (totals , averages e.t.c) and graphs on the results. Obviously I cannot precalculate any of the aggregation results because the filter combinations (and thus the result sets) are huge. Users are going to have access on their own data only but it would be nice if anonymous stats could be calculated for all the data. The data is going to be most of the time in batch. e.g the user will upload the data every day and it could like 3000 records. In some later version there could be automated programs that upload every few minutes in smaller batches of 100 items for example. I made a simple test of creating a table with 1 million rows and performing a simple sum of 1 column both in mongodb and in mysql and the performance difference was huge. I do not remember the exact numbers but it was something like mysql = 200ms , mongodb = 20 sec. I have also made the test with couchdb and had much worse results. What seems promising speed wise is cassandra which I was very enthusiastic about when I first discovered it. However the documentation is scarce and I haven't found any solid examples on how to perform sums and other aggregate functions on the data. Is that possible ? As it seems from my test (Maybe I have done something wrong) with the current performance its impossible to use mongodb for such a project although the automated sharding functionality seems like a perfect fit for it. Does anybody have experience with data aggregation in mongodb or have any insights that might be of help for the implementation of the project ? Thanks, Dimitris

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• How Do I Prevent Rails From Treating Edit Fields_For Differently From New Fields_For

  - by James

  I am using rails3 beta3 and couchdb via couchrest. I am not using active record. I want to add multiple "Sections" to a "Guide" and add and remove sections dynamically via a little javascript. I have looked at all the screencasts by Ryan Bates and they have helped immensely. The only difference is that I want to save all the sections as an array of sections instead of individual sections. Basically like this: "sections" => [{"title" => "Foo1", "content" => "Bar1"}, {"title" => "Foo2", "content" => "Bar2"}] So, basically I need the params hash to look like that when the form is submitted. When I create my form I am doing the following: <%= form_for @guide, :url => { :action => "create" } do |f| %> <%= render :partial => 'section', :collection => @guide.sections %> <%= f.submit "Save" %> <% end %> And my section partial looks like this: <%= fields_for "sections[]", section do |guide_section_form| %> <%= guide_section_form.text_field :section_title %> <%= guide_section_form.text_area :content, :rows => 3 %> <% end %> Ok, so when I create the guide with sections, it is working perfectly as I would like. The params hash is giving me a sections array just like I would want. The problem comes when I want edit guide/sections and save them again because rails is inserting the id of the guide in the id and name of each form field, which is screwing up the params hash on form submission. Just to be clear, here is the raw form output for a new resource: <input type="text" size="30" name="sections[][section_title]" id="sections__section_title"> <textarea rows="3" name="sections[][content]" id="sections__content" cols="40"></textarea> And here is what it looks like when editing an existing resource: <input type="text" value="Foo1" size="30" name="sections[cd2f2759895b5ae6cb7946def0b321f1][section_title]" id="sections_cd2f2759895b5ae6cb7946def0b321f1_section_title"> <textarea rows="3" name="sections[cd2f2759895b5ae6cb7946def0b321f1][content]" id="sections_cd2f2759895b5ae6cb7946def0b321f1_content" cols="40">Bar1</textarea> How do I force rails to always use the new resource behavior and not automatically add the id to the name and value. Do I have to create a custom form builder? Is there some other trick I can do to prevent rails from putting the id of the guide in there? I have tried a bunch of stuff and nothing is working. Thanks in advance!

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• How to overcome shortcomings in reporting from EAV database?

  - by David Archer

  The major shortcomings with Entity-Attribute-Value database designs in SQL all seem to be related to being able to query and report on the data efficiently and quickly. Most of the information I read on the subject warn against implementing EAV due to these problems and the commonality of querying/reporting for almost all applications. I am currently designing a system where almost all the fields necessary for data storage are not known at design/compile time and are defined by the end-user of the system. EAV seems like a good fit for this requirement but due to the problems I've read about, I am hesitant in implementing it as there are also some pretty heavy reporting requirements for this system as well. I think I've come up with a way around this but would like to pose the question to the SO community. Given that typical normalized database (OLTP) still isn't always the best option for running reports, a good practice seems to be having a "reporting" database (OLAP) where the data from the normalized database is copied to, indexed extensively, and possibly denormalized for easier querying. Could the same idea be used to work around the shortcomings of an EAV design? The main downside I see are the increased complexity of transferring the data from the EAV database to reporting as you may end up having to alter the tables in the reporting database as new fields are defined in the EAV database. But that is hardly impossible and seems to be an acceptable tradeoff for the increased flexibility given by the EAV design. This downside also exists if I use a non-SQL data store (i.e. CouchDB or similar) for the main data storage since all the standard reporting tools are expecting a SQL backend to query against. Do the issues with EAV systems mostly go away if you have a seperate reporting database for querying? EDIT: Thanks for the comments so far. One of the important things about the system I'm working on it that I'm really only talking about using EAV for one of the entities, not everything in the system. The whole gist of the system is to be able to pull data from multiple disparate sources that are not known ahead of time and crunch the data to come up with some "best known" data about a particular entity. So every "field" I'm dealing with is multi-valued and I'm also required to track history for each. The normalized design for this ends up being 1 table per field which makes querying it kind of painful anyway. Here are the table schemas and sample data I'm looking at (obviously changed from what I'm working on but I think it illustrates the point well): EAV Tables Person ------------------- - Id - Name - ------------------- - 123 - Joe Smith - ------------------- Person_Value ------------------------------------------------------------------- - PersonId - Source - Field - Value - EffectiveDate - ------------------------------------------------------------------- - 123 - CIA - HomeAddress - 123 Cherry Ln - 2010-03-26 - - 123 - DMV - HomeAddress - 561 Stoney Rd - 2010-02-15 - - 123 - FBI - HomeAddress - 676 Lancas Dr - 2010-03-01 - ------------------------------------------------------------------- Reporting Table Person_Denormalized ---------------------------------------------------------------------------------------- - Id - Name - HomeAddress - HomeAddress_Confidence - HomeAddress_EffectiveDate - ---------------------------------------------------------------------------------------- - 123 - Joe Smith - 123 Cherry Ln - 0.713 - 2010-03-26 - ---------------------------------------------------------------------------------------- Normalized Design Person ------------------- - Id - Name - ------------------- - 123 - Joe Smith - ------------------- Person_HomeAddress ------------------------------------------------------ - PersonId - Source - Value - Effective Date - ------------------------------------------------------ - 123 - CIA - 123 Cherry Ln - 2010-03-26 - - 123 - DMV - 561 Stoney Rd - 2010-02-15 - - 123 - FBI - 676 Lancas Dr - 2010-03-01 - ------------------------------------------------------ The "Confidence" field here is generated using logic that cannot be expressed easily (if at all) using SQL so my most common operation besides inserting new values will be pulling ALL data about a person for all fields so I can generate the record for the reporting table. This is actually easier in the EAV model as I can do a single query. In the normalized design, I end up having to do 1 query per field to avoid a massive cartesian product from joining them all together.

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• TOTD #166: Using NoSQL database in your Java EE 6 Applications on GlassFish - MongoDB for now!

  - by arungupta

  The Java EE 6 platform includes Java Persistence API to work with RDBMS. The JPA specification defines a comprehensive API that includes, but not restricted to, how a database table can be mapped to a POJO and vice versa, provides mechanisms how a PersistenceContext can be injected in a @Stateless bean and then be used for performing different operations on the database table and write typesafe queries. There are several well known advantages of RDBMS but the NoSQL movement has gained traction over past couple of years. The NoSQL databases are not intended to be a replacement for the mainstream RDBMS. As Philosophy of NoSQL explains, NoSQL database was designed for casual use where all the features typically provided by an RDBMS are not required. The name "NoSQL" is more of a category of databases that is more known for what it is not rather than what it is. The basic principles of NoSQL database are: No need to have a pre-defined schema and that makes them a schema-less database. Addition of new properties to existing objects is easy and does not require ALTER TABLE. The unstructured data gives flexibility to change the format of data any time without downtime or reduced service levels. Also there are no joins happening on the server because there is no structure and thus no relation between them. Scalability and performance is more important than the entire set of functionality typically provided by an RDBMS. This set of databases provide eventual consistency and/or transactions restricted to single items but more focus on CRUD. Not be restricted to SQL to access the information stored in the backing database. Designed to scale-out (horizontal) instead of scale-up (vertical). This is important knowing that databases, and everything else as well, is moving into the cloud. RBDMS can scale-out using sharding but requires complex management and not for the faint of heart. Unlike RBDMS which require a separate caching tier, most of the NoSQL databases comes with integrated caching. Designed for less management and simpler data models lead to lower administration as well. There are primarily three types of NoSQL databases: Key-Value stores (e.g. Cassandra and Riak) Document databases (MongoDB or CouchDB) Graph databases (Neo4J) You may think NoSQL is panacea but as I mentioned above they are not meant to replace the mainstream databases and here is why: RDBMS have been around for many years, very stable, and functionally rich. This is something CIOs and CTOs can bet their money on without much worry. There is a reason 98% of Fortune 100 companies run Oracle :-) NoSQL is cutting edge, brings excitement to developers, but enterprises are cautious about them. Commercial databases like Oracle are well supported by the backing enterprises in terms of providing support resources on a global scale. There is a full ecosystem built around these commercial databases providing training, performance tuning, architecture guidance, and everything else. NoSQL is fairly new and typically backed by a single company not able to meet the scale of these big enterprises. NoSQL databases are good for CRUDing operations but business intelligence is extremely important for enterprises to stay competitive. RDBMS provide extensive tooling to generate this data but that was not the original intention of NoSQL databases and is lacking in that area. Generating any meaningful information other than CRUDing require extensive programming. Not suited for complex transactions such as banking systems or other highly transactional applications requiring 2-phase commit. SQL cannot be used with NoSQL databases and writing simple queries can be involving. Enough talking, lets take a look at some code. This blog has published multiple blogs on how to access a RDBMS using JPA in a Java EE 6 application. This Tip Of The Day (TOTD) will show you can use MongoDB (a document-oriented database) with a typical 3-tier Java EE 6 application. Lets get started! The complete source code of this project can be downloaded here. Download MongoDB for your platform from here (1.8.2 as of this writing) and start the server as: arun@ArunUbuntu:~/tools/mongodb-linux-x86_64-1.8.2/bin$./mongod./mongod --help for help and startup optionsSun Jun 26 20:41:11 [initandlisten] MongoDB starting : pid=11210port=27017 dbpath=/data/db/ 64-bit Sun Jun 26 20:41:11 [initandlisten] db version v1.8.2, pdfile version4.5Sun Jun 26 20:41:11 [initandlisten] git version:433bbaa14aaba6860da15bd4de8edf600f56501bSun Jun 26 20:41:11 [initandlisten] build sys info: Linuxbs-linux64.10gen.cc 2.6.21.7-2.ec2.v1.2.fc8xen #1 SMP Fri Nov 2017:48:28 EST 2009 x86_64 BOOST_LIB_VERSION=1_41Sun Jun 26 20:41:11 [initandlisten] waiting for connections on port 27017Sun Jun 26 20:41:11 [websvr] web admin interface listening on port 28017 The default directory for the database is /data/db and needs to be created as: sudo mkdir -p /data/db/sudo chown `id -u` /data/db You can specify a different directory using "--dbpath" option. Refer to Quickstart for your specific platform. Using NetBeans, create a Java EE 6 project and make sure to enable CDI and add JavaServer Faces framework. Download MongoDB Java Driver (2.6.3 of this writing) and add it to the project library by selecting "Properties", "LIbraries", "Add Library...", creating a new library by specifying the location of the JAR file, and adding the library to the created project. Edit the generated "index.xhtml" such that it looks like: <h1>Add a new movie</h1><h:form> Name: <h:inputText value="#{movie.name}" size="20"/><br/> Year: <h:inputText value="#{movie.year}" size="6"/><br/> Language: <h:inputText value="#{movie.language}" size="20"/><br/> <h:commandButton actionListener="#{movieSessionBean.createMovie}" action="show" title="Add" value="submit"/></h:form> This page has a simple HTML form with three text boxes and a submit button. The text boxes take name, year, and language of a movie and the submit button invokes the "createMovie" method of "movieSessionBean" and then render "show.xhtml". Create "show.xhtml" ("New" -> "Other..." -> "Other" -> "XHTML File") such that it looks like: <head> <title><h1>List of movies</h1></title> </head> <body> <h:form> <h:dataTable value="#{movieSessionBean.movies}" var="m" > <h:column><f:facet name="header">Name</f:facet>#{m.name}</h:column> <h:column><f:facet name="header">Year</f:facet>#{m.year}</h:column> <h:column><f:facet name="header">Language</f:facet>#{m.language}</h:column> </h:dataTable> </h:form> This page shows the name, year, and language of all movies stored in the database so far. The list of movies is returned by "movieSessionBean.movies" property. Now create the "Movie" class such that it looks like: import com.mongodb.BasicDBObject;import com.mongodb.BasicDBObject;import com.mongodb.DBObject;import javax.enterprise.inject.Model;import javax.validation.constraints.Size;/** * @author arun */@Modelpublic class Movie { @Size(min=1, max=20) private String name; @Size(min=1, max=20) private String language; private int year; // getters and setters for "name", "year", "language" public BasicDBObject toDBObject() { BasicDBObject doc = new BasicDBObject(); doc.put("name", name); doc.put("year", year); doc.put("language", language); return doc; } public static Movie fromDBObject(DBObject doc) { Movie m = new Movie(); m.name = (String)doc.get("name"); m.year = (int)doc.get("year"); m.language = (String)doc.get("language"); return m; } @Override public String toString() { return name + ", " + year + ", " + language; }} Other than the usual boilerplate code, the key methods here are "toDBObject" and "fromDBObject". These methods provide a conversion from "Movie" -> "DBObject" and vice versa. The "DBObject" is a MongoDB class that comes as part of the mongo-2.6.3.jar file and which we added to our project earlier.  The complete javadoc for 2.6.3 can be seen here. Notice, this class also uses Bean Validation constraints and will be honored by the JSF layer. Finally, create "MovieSessionBean" stateless EJB with all the business logic such that it looks like: package org.glassfish.samples;import com.mongodb.BasicDBObject;import com.mongodb.DB;import com.mongodb.DBCollection;import com.mongodb.DBCursor;import com.mongodb.DBObject;import com.mongodb.Mongo;import java.net.UnknownHostException;import java.util.ArrayList;import java.util.List;import javax.annotation.PostConstruct;import javax.ejb.Stateless;import javax.inject.Inject;import javax.inject.Named;/** * @author arun */@Stateless@Namedpublic class MovieSessionBean { @Inject Movie movie; DBCollection movieColl; @PostConstruct private void initDB() throws UnknownHostException { Mongo m = new Mongo(); DB db = m.getDB("movieDB"); movieColl = db.getCollection("movies"); if (movieColl == null) { movieColl = db.createCollection("movies", null); } } public void createMovie() { BasicDBObject doc = movie.toDBObject(); movieColl.insert(doc); } public List<Movie> getMovies() { List<Movie> movies = new ArrayList(); DBCursor cur = movieColl.find(); System.out.println("getMovies: Found " + cur.size() + " movie(s)"); for (DBObject dbo : cur.toArray()) { movies.add(Movie.fromDBObject(dbo)); } return movies; }} The database is initialized in @PostConstruct. Instead of a working with a database table, NoSQL databases work with a schema-less document. The "Movie" class is the document in our case and stored in the collection "movies". The collection allows us to perform query functions on all movies. The "getMovies" method invokes "find" method on the collection which is equivalent to the SQL query "select * from movies" and then returns a List<Movie>. Also notice that there is no "persistence.xml" in the project. Right-click and run the project to see the output as: Enter some values in the text box and click on enter to see the result as: If you reached here then you've successfully used MongoDB in your Java EE 6 application, congratulations! Some food for thought and further play ... SQL to MongoDB mapping shows mapping between traditional SQL -> Mongo query language. Tutorial shows fun things you can do with MongoDB. Try the interactive online shell  The cookbook provides common ways of using MongoDB In terms of this project, here are some tasks that can be tried: Encapsulate database management in a JPA persistence provider. Is it even worth it because the capabilities are going to be very different ? MongoDB uses "BSonObject" class for JSON representation, add @XmlRootElement on a POJO and how a compatible JSON representation can be generated. This will make the fromXXX and toXXX methods redundant.

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• TOTD #166: Using NoSQL database in your Java EE 6 Applications on GlassFish - MongoDB for now!

  - by arungupta

  The Java EE 6 platform includes Java Persistence API to work with RDBMS. The JPA specification defines a comprehensive API that includes, but not restricted to, how a database table can be mapped to a POJO and vice versa, provides mechanisms how a PersistenceContext can be injected in a @Stateless bean and then be used for performing different operations on the database table and write typesafe queries. There are several well known advantages of RDBMS but the NoSQL movement has gained traction over past couple of years. The NoSQL databases are not intended to be a replacement for the mainstream RDBMS. As Philosophy of NoSQL explains, NoSQL database was designed for casual use where all the features typically provided by an RDBMS are not required. The name "NoSQL" is more of a category of databases that is more known for what it is not rather than what it is. The basic principles of NoSQL database are: No need to have a pre-defined schema and that makes them a schema-less database. Addition of new properties to existing objects is easy and does not require ALTER TABLE. The unstructured data gives flexibility to change the format of data any time without downtime or reduced service levels. Also there are no joins happening on the server because there is no structure and thus no relation between them. Scalability and performance is more important than the entire set of functionality typically provided by an RDBMS. This set of databases provide eventual consistency and/or transactions restricted to single items but more focus on CRUD. Not be restricted to SQL to access the information stored in the backing database. Designed to scale-out (horizontal) instead of scale-up (vertical). This is important knowing that databases, and everything else as well, is moving into the cloud. RBDMS can scale-out using sharding but requires complex management and not for the faint of heart. Unlike RBDMS which require a separate caching tier, most of the NoSQL databases comes with integrated caching. Designed for less management and simpler data models lead to lower administration as well. There are primarily three types of NoSQL databases: Key-Value stores (e.g. Cassandra and Riak) Document databases (MongoDB or CouchDB) Graph databases (Neo4J) You may think NoSQL is panacea but as I mentioned above they are not meant to replace the mainstream databases and here is why: RDBMS have been around for many years, very stable, and functionally rich. This is something CIOs and CTOs can bet their money on without much worry. There is a reason 98% of Fortune 100 companies run Oracle :-) NoSQL is cutting edge, brings excitement to developers, but enterprises are cautious about them. Commercial databases like Oracle are well supported by the backing enterprises in terms of providing support resources on a global scale. There is a full ecosystem built around these commercial databases providing training, performance tuning, architecture guidance, and everything else. NoSQL is fairly new and typically backed by a single company not able to meet the scale of these big enterprises. NoSQL databases are good for CRUDing operations but business intelligence is extremely important for enterprises to stay competitive. RDBMS provide extensive tooling to generate this data but that was not the original intention of NoSQL databases and is lacking in that area. Generating any meaningful information other than CRUDing require extensive programming. Not suited for complex transactions such as banking systems or other highly transactional applications requiring 2-phase commit. SQL cannot be used with NoSQL databases and writing simple queries can be involving. Enough talking, lets take a look at some code. This blog has published multiple blogs on how to access a RDBMS using JPA in a Java EE 6 application. This Tip Of The Day (TOTD) will show you can use MongoDB (a document-oriented database) with a typical 3-tier Java EE 6 application. Lets get started! The complete source code of this project can be downloaded here. Download MongoDB for your platform from here (1.8.2 as of this writing) and start the server as: arun@ArunUbuntu:~/tools/mongodb-linux-x86_64-1.8.2/bin$./mongod./mongod --help for help and startup optionsSun Jun 26 20:41:11 [initandlisten] MongoDB starting : pid=11210port=27017 dbpath=/data/db/ 64-bit Sun Jun 26 20:41:11 [initandlisten] db version v1.8.2, pdfile version4.5Sun Jun 26 20:41:11 [initandlisten] git version:433bbaa14aaba6860da15bd4de8edf600f56501bSun Jun 26 20:41:11 [initandlisten] build sys info: Linuxbs-linux64.10gen.cc 2.6.21.7-2.ec2.v1.2.fc8xen #1 SMP Fri Nov 2017:48:28 EST 2009 x86_64 BOOST_LIB_VERSION=1_41Sun Jun 26 20:41:11 [initandlisten] waiting for connections on port 27017Sun Jun 26 20:41:11 [websvr] web admin interface listening on port 28017 The default directory for the database is /data/db and needs to be created as: sudo mkdir -p /data/db/sudo chown `id -u` /data/db You can specify a different directory using "--dbpath" option. Refer to Quickstart for your specific platform. Using NetBeans, create a Java EE 6 project and make sure to enable CDI and add JavaServer Faces framework. Download MongoDB Java Driver (2.6.3 of this writing) and add it to the project library by selecting "Properties", "LIbraries", "Add Library...", creating a new library by specifying the location of the JAR file, and adding the library to the created project. Edit the generated "index.xhtml" such that it looks like: <h1>Add a new movie</h1><h:form> Name: <h:inputText value="#{movie.name}" size="20"/><br/> Year: <h:inputText value="#{movie.year}" size="6"/><br/> Language: <h:inputText value="#{movie.language}" size="20"/><br/> <h:commandButton actionListener="#{movieSessionBean.createMovie}" action="show" title="Add" value="submit"/></h:form> This page has a simple HTML form with three text boxes and a submit button. The text boxes take name, year, and language of a movie and the submit button invokes the "createMovie" method of "movieSessionBean" and then render "show.xhtml". Create "show.xhtml" ("New" -> "Other..." -> "Other" -> "XHTML File") such that it looks like: <head> <title><h1>List of movies</h1></title> </head> <body> <h:form> <h:dataTable value="#{movieSessionBean.movies}" var="m" > <h:column><f:facet name="header">Name</f:facet>#{m.name}</h:column> <h:column><f:facet name="header">Year</f:facet>#{m.year}</h:column> <h:column><f:facet name="header">Language</f:facet>#{m.language}</h:column> </h:dataTable> </h:form> This page shows the name, year, and language of all movies stored in the database so far. The list of movies is returned by "movieSessionBean.movies" property. Now create the "Movie" class such that it looks like: import com.mongodb.BasicDBObject;import com.mongodb.BasicDBObject;import com.mongodb.DBObject;import javax.enterprise.inject.Model;import javax.validation.constraints.Size;/** * @author arun */@Modelpublic class Movie { @Size(min=1, max=20) private String name; @Size(min=1, max=20) private String language; private int year; // getters and setters for "name", "year", "language" public BasicDBObject toDBObject() { BasicDBObject doc = new BasicDBObject(); doc.put("name", name); doc.put("year", year); doc.put("language", language); return doc; } public static Movie fromDBObject(DBObject doc) { Movie m = new Movie(); m.name = (String)doc.get("name"); m.year = (int)doc.get("year"); m.language = (String)doc.get("language"); return m; } @Override public String toString() { return name + ", " + year + ", " + language; }} Other than the usual boilerplate code, the key methods here are "toDBObject" and "fromDBObject". These methods provide a conversion from "Movie" -> "DBObject" and vice versa. The "DBObject" is a MongoDB class that comes as part of the mongo-2.6.3.jar file and which we added to our project earlier.  The complete javadoc for 2.6.3 can be seen here. Notice, this class also uses Bean Validation constraints and will be honored by the JSF layer. Finally, create "MovieSessionBean" stateless EJB with all the business logic such that it looks like: package org.glassfish.samples;import com.mongodb.BasicDBObject;import com.mongodb.DB;import com.mongodb.DBCollection;import com.mongodb.DBCursor;import com.mongodb.DBObject;import com.mongodb.Mongo;import java.net.UnknownHostException;import java.util.ArrayList;import java.util.List;import javax.annotation.PostConstruct;import javax.ejb.Stateless;import javax.inject.Inject;import javax.inject.Named;/** * @author arun */@Stateless@Namedpublic class MovieSessionBean { @Inject Movie movie; DBCollection movieColl; @PostConstruct private void initDB() throws UnknownHostException { Mongo m = new Mongo(); DB db = m.getDB("movieDB"); movieColl = db.getCollection("movies"); if (movieColl == null) { movieColl = db.createCollection("movies", null); } } public void createMovie() { BasicDBObject doc = movie.toDBObject(); movieColl.insert(doc); } public List<Movie> getMovies() { List<Movie> movies = new ArrayList(); DBCursor cur = movieColl.find(); System.out.println("getMovies: Found " + cur.size() + " movie(s)"); for (DBObject dbo : cur.toArray()) { movies.add(Movie.fromDBObject(dbo)); } return movies; }} The database is initialized in @PostConstruct. Instead of a working with a database table, NoSQL databases work with a schema-less document. The "Movie" class is the document in our case and stored in the collection "movies". The collection allows us to perform query functions on all movies. The "getMovies" method invokes "find" method on the collection which is equivalent to the SQL query "select * from movies" and then returns a List<Movie>. Also notice that there is no "persistence.xml" in the project. Right-click and run the project to see the output as: Enter some values in the text box and click on enter to see the result as: If you reached here then you've successfully used MongoDB in your Java EE 6 application, congratulations! Some food for thought and further play ... SQL to MongoDB mapping shows mapping between traditional SQL -> Mongo query language. Tutorial shows fun things you can do with MongoDB. Try the interactive online shell  The cookbook provides common ways of using MongoDB In terms of this project, here are some tasks that can be tried: Encapsulate database management in a JPA persistence provider. Is it even worth it because the capabilities are going to be very different ? MongoDB uses "BSonObject" class for JSON representation, add @XmlRootElement on a POJO and how a compatible JSON representation can be generated. This will make the fromXXX and toXXX methods redundant.

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• I have a very long and repetitive python path, where do I look to correct this?

  - by ninja123

  I know it is probably not necessary to paste the whole path, but just for the record I have done so below. Whenever I run a python command, it takes a long time to load this path I suppose. I have checked in .bash_profile and only have these two lines: export PATH=/Users/username/bin:/opt/local/Library/Frameworks/Python.framework/Versions/2.5/bin:/opt/local/bin:/opt/local/sbin:/opt/local/apache2/bin:$PATH export PYTHONPATH=/opt/local/lib/python2.5/site-packages/ And my python path as outputed by Django's debug is: Python path : ['/Users/username/Sites/videocluster/eggs/ipython-0.10-py2.5.egg', '/Users/username/Sites/videocluster/eggs/South-0.6.1-py2.5.egg', '/Users/username/Sites/videocluster/eggs/django_markitup-0.5.2-py2.5.egg', '/Users/username/Sites/videocluster/eggs/DateTime-2.12.0-py2.5.egg', '/Users/username/Sites/videocluster/eggs/Markdown-2.0.3-py2.5.egg', '/Users/username/Sites/videocluster/eggs/PIL-1.1.7-py2.5-macosx-10.5-i386.egg', '/Users/username/Sites/videocluster/eggs/djangorecipe-0.20-py2.5.egg', '/Users/username/Sites/videocluster/eggs/zc.recipe.egg-1.2.3b2-py2.5.egg', '/Users/username/Sites/videocluster/eggs/zc.buildout-1.5.0b2-py2.5.egg', '/Users/username/Sites/videocluster/eggs/pytz-2010h-py2.5.egg', '/Users/username/Sites/videocluster/eggs/zope.interface-3.6.1-py2.5-macosx-10.5-i386.egg', '/Users/username/Sites/videocluster/eggs/setuptools-0.6c11-py2.5.egg', '/Users/username/Sites/videocluster/parts/django', '/Users/username/Sites/videocluster', '/Users/username/Sites/videocluster/bin', '/opt/local/lib/python2.5/site-packages/setuptools_git-0.3.3-py2.5.egg', '/opt/local/lib/python2.5/site-packages/pysqlite-2.5.5-py2.5-macosx-10.5-i386.egg', '/opt/local/lib/python2.5/site-packages/CouchDB-0.5-py2.5.egg', '/opt/local/lib/python2.5/site-packages/httplib2-0.4.0-py2.5.egg', '/opt/local/lib/python2.5/site-packages/PyYAML-3.08-py2.5-macosx-10.5-i386.egg', '/opt/local/lib/python2.5/site-packages/simple_db_migrate-1.2.8-py2.5.egg', '/opt/local/lib/python2.5/site-packages/PyDispatcher-2.0.1-py2.5.egg', '/opt/local/lib/python2.5/site-packages/pyOpenSSL-0.9-py2.5-macosx-10.5-i386.egg', '/opt/local/lib/python2.5/site-packages/greenlet-0.2-py2.5-macosx-10.5-i386.egg', '/opt/local/lib/python2.5/site-packages/Supay-0.0.2-py2.5.egg', '/opt/local/lib/python2.5/site-packages/configobj-4.6.0-py2.5.egg', '/opt/local/lib/python2.5/site-packages/Fabric-0.9b1-py2.5.egg', '/opt/local/lib/python2.5/site-packages/fudge-0.9.3-py2.5.egg', '/opt/local/lib/python2.5/site-packages/pydelicious-0.5.3-py2.5.egg', '/opt/local/lib/python2.5/site-packages/feedparser-4.1-py2.5.egg', '/opt/local/lib/python2.5/site-packages/github_cli-0.2.5.2-py2.5.egg', '/opt/local/lib/python2.5/site-packages/simplejson-2.0.9-py2.5-macosx-10.5-i386.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', ......(repeating)....... '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', 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'/opt/local/lib/python2.5/site-packages/gtk-2.0', '/opt/local/lib/python2.5/site-packages/gtk-2.0', '/opt/local/lib/python2.5/site-packages/gtk-2.0', '/opt/local/lib/python2.5/site-packages/gtk-2.0', ......(repeating)....... '/opt/local/lib/python2.5/site-packages/gtk-2.0', '/opt/local/lib/python2.5/site-packages/gtk-2.0', '/opt/local/lib/python2.5/site-packages/gtk-2.0', '/opt/local/lib/python2.5/site-packages/gtk-2.0', '/opt/local/lib/python2.5/site-packages/gtk-2.0', '/opt/local/lib/python2.5/site-packages/gtk-2.0', '/opt/local/lib/python2.5/site-packages/gtk-2.0', '/opt/local/Library/Frameworks/Python.framework/Versions/2.5/lib/python2.5/site-packages/gtk-2.0'] Someone, please tell me where I can go to correct this. Thanks

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