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  • Solr vs 'this' word

    - by s.arlashin
    There is a smal problem with solr. When I try to search text containing the word 'this' by issuing 'this' in the search console, solr doesn't find anything. However there are no problems with other words. Is it sort of reserved word or something like that?

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  • Solr; "rookie" question

    - by Camran
    I have a SolrPhpClient on my classifieds website, and whenever users wants to add/remove classified the index in Solr gets updated via Php code. So I wonder, does this mean that my Solr index is open for anybody to alter with? Same Q applies to the Solr Admin page. If I set a password for the admin page, does this mean that my classifieds website wont have access to updating/removing documents from the Solr index? Thanks

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  • How to setup Solr on a live VPS?

    - by user342960
    I follow the instruction on http://lucene.apache.org/solr/tutorial.html and I can setup Solr on my PC. Now when I come to my VPS I cannot overcome the step: $ java -jar start.jar Afer running that command, search service is available at http: //x.x.x.x:8983/solr/select . But, Whenever I close the SSH client, the service on http: //x.x.x.x:8983/solr/select is also closed. So I can't search any more. What should I do? Thanks for any help.

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  • Is Data Science “Science”?

    - by BuckWoody
    I hold the term “science” in very high esteem. I grew up on the Space Coast in Florida, and eventually worked at the Kennedy Space Center, surrounded by very intelligent people who worked in various scientific fields. Recently a new term has entered the computing dialog – “Data Scientist”. Since it’s not a standard term, it has a lot of definitions, and in fact has been disputed as a correct term. After all, the reasoning goes, if there’s no such thing as “Data Science” then how can there be a Data Scientist? This argument has been made before, albeit with a different term – “Computer Science”. In Peter Denning’s excellent article “Is Computer Science Science” (April  2005/Vol. 48, No. 4 COMMUNICATIONS OF THE ACM) there are many points that separate “science” from “engineering” and even “art”.  I won’t repeat the content of that article here (I recommend you read it on your own) but will leverage the points he makes there. Definition of Science To ask the question “is data science ‘science’” then we need to start with a definition of terms. Various references put the definition into the same basic areas: Study of the physical world Systematic and/or disciplined study of a subject area ...and then they include the things studied, the bodies of knowledge and so on. The word itself comes from Latin, and means merely “to know” or “to study to know”. Greek divides knowledge further into “truth” (episteme), and practical use or effects (tekhne). Normally computing falls into the second realm. Definition of Data Science And now a more controversial definition: Data Science. This term is so new and perhaps so niche that the major dictionaries haven’t yet picked it up (my OED reference is older – can’t afford to pop for the online registration at present). Researching the term's general use I created an amalgam of the definitions this way: “Studying and applying mathematical and other techniques to derive information from complex data sets.” Using this definition, data science certainly seems to be science - it's learning about and studying some object or area using systematic methods. But implicit within the definition is the word “application”, which makes the process more akin to engineering or even technology than science. In fact, I find that using these techniques – and data itself – part of science, not science itself. I leave out the concept of studying data patterns or algorithms as part of this discipline. That is actually a domain I see within research, mathematics or computer science. That of course is a type of science, but does not seek for practical applications. As part of the argument against calling it “Data Science”, some point to the scientific method of creating a hypothesis, testing with controls, testing results against the hypothesis, and documenting for repeatability.  These are not steps that we often take in working with data. We normally start with a question, and fit patterns and algorithms to predict outcomes and find correlations. In this way Data Science is more akin to statistics (and in fact makes heavy use of them) in the process rather than starting with an assumption and following on with it. So, is Data Science “Science”? I’m uncertain – and I’m uncertain it matters. Even if we are facing rampant “title inflation” these days (does anyone introduce themselves as a secretary or supervisor anymore?) I can tolerate the term at least from the intent that we use data to study problems across a wide spectrum, rather than restricting it to a single domain. And I also understand those who have worked hard to achieve the very honorable title of “scientist” who have issues with those who borrow the term without asking. What do you think? Science, or not? Does it matter?

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  • Custom property editors do not work for request parameters in Spring MVC?

    - by dvd
    Hello, I'm trying to create a multiaction web controller using Spring annotations. This controller will be responsible for adding and removing user profiles and preparing reference data for the jsp page. @Controller public class ManageProfilesController { @InitBinder public void initBinder(WebDataBinder binder) { binder.registerCustomEditor(UserAccount.class,"account", new UserAccountPropertyEditor(userManager)); binder.registerCustomEditor(Profile.class, "profile", new ProfilePropertyEditor(profileManager)); logger.info("Editors registered"); } @RequestMapping("remove") public void up( @RequestParam("account") UserAccount account, @RequestParam("profile") Profile profile) { ... } @RequestMapping("") public ModelAndView defaultView(@RequestParam("account") UserAccount account) { logger.info("Default view handling"); ModelAndView mav = new ModelAndView(); logger.info(account.getLogin()); mav.addObject("account", account); mav.addObject("profiles", profileManager.getProfiles()); mav.setViewName(view); return mav; } ... } Here is the part of my webContext.xml file: <context:component-scan base-package="ru.mirea.rea.webapp.controllers" /> <context:annotation-config/> <bean class="org.springframework.web.servlet.handler.SimpleUrlHandlerMapping"> <property name="mappings"> <value> ... /home/users/manageProfiles=users.manageProfilesController </value> </property> </bean> <bean id="users.manageProfilesController" class="ru.mirea.rea.webapp.controllers.users.ManageProfilesController"> <property name="view" value="home\users\manageProfiles"/> </bean> <bean class="org.springframework.web.servlet.mvc.annotation.AnnotationMethodHandlerAdapter" /> However, when i open the mapped url, i get exception: java.lang.IllegalArgumentException: Cannot convert value of type [java.lang.String] to required type [ru.mirea.rea.model.UserAccount]: no matching editors or conversion strategy found I use spring 2.5.6 and plan to move to the Spring 3.0 in some not very distant future. However, according to this JIRA https://jira.springsource.org/browse/SPR-4182 it should be possible already in spring 2.5.1. The debug shows that the InitBinder method is correctly called. What am i doing wrong?

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  • Data Modeling Resources

    - by Dejan Sarka
    You can find many different data modeling resources. It is impossible to list all of them. I selected only the most valuable ones for me, and, of course, the ones I contributed to. Books Chris J. Date: An Introduction to Database Systems – IMO a “must” to understand the relational model correctly. Terry Halpin, Tony Morgan: Information Modeling and Relational Databases – meet the object-role modeling leaders. Chris J. Date, Nikos Lorentzos and Hugh Darwen: Time and Relational Theory, Second Edition: Temporal Databases in the Relational Model and SQL – all theory needed to manage temporal data. Louis Davidson, Jessica M. Moss: Pro SQL Server 2012 Relational Database Design and Implementation – the best SQL Server focused data modeling book I know by two of my friends. Dejan Sarka, et al.: MCITP Self-Paced Training Kit (Exam 70-441): Designing Database Solutions by Using Microsoft® SQL Server™ 2005 – SQL Server 2005 data modeling training kit. Most of the text is still valid for SQL Server 2008, 2008 R2, 2012 and 2014. Itzik Ben-Gan, Lubor Kollar, Dejan Sarka, Steve Kass: Inside Microsoft SQL Server 2008 T-SQL Querying – Steve wrote a chapter with mathematical background, and I added a chapter with theoretical introduction to the relational model. Itzik Ben-Gan, Dejan Sarka, Roger Wolter, Greg Low, Ed Katibah, Isaac Kunen: Inside Microsoft SQL Server 2008 T-SQL Programming – I added three chapters with theoretical introduction and practical solutions for the user-defined data types, dynamic schema and temporal data. Dejan Sarka, Matija Lah, Grega Jerkic: Training Kit (Exam 70-463): Implementing a Data Warehouse with Microsoft SQL Server 2012 – my first two chapters are about data warehouse design and implementation. Courses Data Modeling Essentials – I wrote a 3-day course for SolidQ. If you are interested in this course, which I could also deliver in a shorter seminar way, you can contact your closes SolidQ subsidiary, or, of course, me directly on addresses [email protected] or [email protected]. This course could also complement the existing courseware portfolio of training providers, which are welcome to contact me as well. Logical and Physical Modeling for Analytical Applications – online course I wrote for Pluralsight. Working with Temporal data in SQL Server – my latest Pluralsight course, where besides theory and implementation I introduce many original ways how to optimize temporal queries. Forthcoming presentations SQL Bits 12, July 17th – 19th, Telford, UK – I have a full-day pre-conference seminar Advanced Data Modeling Topics there.

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  • Spring import runs hibernate persistence twice

    - by Jaanus
    I have 2 spring configurations : spring-servlet.xml spring-security.xml needed to add this line to security: <beans:import resource="spring-servlet.xml"/> Now hibernate is ran twice, this is log screenshot : my web.xml: <servlet> <servlet-name>spring</servlet-name> <servlet-class> org.springframework.web.servlet.DispatcherServlet </servlet-class> <load-on-startup>1</load-on-startup> </servlet> <servlet-mapping> <servlet-name>spring</servlet-name> <url-pattern>/</url-pattern> </servlet-mapping> <listener> <listener-class> org.springframework.web.context.ContextLoaderListener </listener-class> </listener> <context-param> <param-name>contextConfigLocation</param-name> <param-value> /WEB-INF/spring-security.xml </param-value> </context-param>

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  • Struts or Spring MVC or Struts & Spring?

    - by Shaw
    I need some information to understand design decision: Is Struts a better choice than Spring MVC? I hear about Strus-Spring-Hibernae combo - Is struts used at MVC layer because its a matured framework than when compared to Spring MVC? Any one used this combination for projects or aware of issues?

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  • Spring security oauth2 provider to secure non-spring api

    - by user1241320
    I'm trying to set up an oauth 2.0 provider that should "secure" our restful api using spring-security-oauth. Being a 'spring fan' i thought it could be the quicker solution. main point is this restful thingie is not a spring based webapp. boss says the oauth provider should be a separate application, but i'm starting to doubt that. (got this impression by reading spring-security-oauth) i'm also new here so haven't really got my hands into this other (jersey-powered) restul api (core of our business). any help/hint will be much appreciated.

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  • Deploying Data Mining Models using Model Export and Import

    - by [email protected]
    In this post, we'll take a look at how Oracle Data Mining facilitates model deployment. After building and testing models, a next step is often putting your data mining model into a production system -- referred to as model deployment. The ability to move data mining model(s) easily into a production system can greatly speed model deployment, and reduce the overall cost. Since Oracle Data Mining provides models as first class database objects, models can be manipulated using familiar database techniques and technology. For example, one or more models can be exported to a flat file, similar to a database table dump file (.dmp). This file can be moved to a different instance of Oracle Database EE, and then imported. All methods for exporting and importing models are based on Oracle Data Pump technology and found in the DBMS_DATA_MINING package. Before performing the actual export or import, a directory object must be created. A directory object is a logical name in the database for a physical directory on the host computer. Read/write access to a directory object is necessary to access the host computer file system from within Oracle Database. For our example, we'll work in the DMUSER schema. First, DMUSER requires the privilege to create any directory. This is often granted through the sysdba account. grant create any directory to dmuser; Now, DMUSER can create the directory object specifying the path where the exported model file (.dmp) should be placed. In this case, on a linux machine, we have the directory /scratch/oracle. CREATE OR REPLACE DIRECTORY dmdir AS '/scratch/oracle'; If you aren't sure of the exact name of the model or models to export, you can find the list of models using the following query: select model_name from user_mining_models; There are several options when exporting models. We can export a single model, multiple models, or all models in a schema using the following procedure calls: BEGIN   DBMS_DATA_MINING.EXPORT_MODEL ('MY_MODEL.dmp','dmdir','name =''MY_DT_MODEL'''); END; BEGIN   DBMS_DATA_MINING.EXPORT_MODEL ('MY_MODELS.dmp','dmdir',              'name IN (''MY_DT_MODEL'',''MY_KM_MODEL'')'); END; BEGIN   DBMS_DATA_MINING.EXPORT_MODEL ('ALL_DMUSER_MODELS.dmp','dmdir'); END; A .dmp file can be imported into another schema or database using the following procedure call, for example: BEGIN   DBMS_DATA_MINING.IMPORT_MODEL('MY_MODELS.dmp', 'dmdir'); END; As with models from any data mining tool, when moving a model from one environment to another, care needs to be taken to ensure the transformations that prepare the data for model building are matched (with appropriate parameters and statistics) in the system where the model is deployed. Oracle Data Mining provides automatic data preparation (ADP) and embedded data preparation (EDP) to reduce, or possibly eliminate, the need to explicitly transport transformations with the model. In the case of ADP, ODM automatically prepares the data and includes the necessary transformations in the model itself. In the case of EDP, users can associate their own transformations with attributes of a model. These transformations are automatically applied when applying the model to data, i.e., scoring. Exporting and importing a model with ADP or EDP results in these transformations being immediately available with the model in the production system.

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  • How do I index documents in SOLR?

    - by Shane
    Hi there, Im running Solr 1.4 on Ubuntu 10.04 (installed via apt-get solr-tomcat) and it seems to be working fine. Im having some difficulty finding any coherent info on how to index documents though. Im new to SOLR so bear with me! I have a folder (/mnt/folder) that is a mounted windows share, which contains Word and PDF files that I would like indexed, whats the easiest way to get SOLR to index the entire folder? The documentation for SOLR is pretty poor, its impossilbe to find any decent tutorials on getting things done with it so any help is greatly appreciated! S

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  • Solr adding document cycle & wait on response issue

    - by user1585896
    I am trying to send http post request to Solr for adding 50000 documents (all individual request one after another in while loop). I am using DefaultHttpClient in java to connect to Solr and when I use execute method on my HttpPost Solr takes 3 to 4 ms to response. I have commit=false, autoCommit=false, autoSoftCommit=false. My question is why it takes that much time to response and why cycle it follows to add new document. Basically I want to send add request but do not want to commit to see how many request can Solr handle without doing any kind of commits(without having to do any disk access). My guess is with above parameter tuned off I should be hitting Solr about 10000 times every second, but my result is 300 times a second. I am generating random data to add in my code.

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  • Upgrading dojo in Spring-js from 1.3 to 1.4

    - by peirix
    We have a project where we're using Spring-js. With it comes Spring-dojo and the full dojo package. But in the current version of Spring-js (2.0.9), it's using dojo 1.3. Is there a way to upgrade manually to dojo 1.4? Or even a new Spring-js.jar-file that can be donwloaded that uses dojo 1.4?

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  • Spring 3 learning curve

    - by Lucian Enache
    I'm coming from a Struts background and I was considering learning the Spring framework. How long would it usually take to get familiarity with Spring Core and Spring MVC modules, keeping in mind that I come from a Struts 1 background ? Beside those two modules are there any other modules that I should focus on ? I know that the time is relative given that everyone has a different learning curve.

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  • Long polling using Spring MVC 3.2M1

    - by Dangling Piyush
    I want to implement Long polling Using Spring 3.2 DeferredResult. I got only this tutorial available on internet Long Polling with Spring MVC. It's a good tutorial but I could not understand it fully because I am pretty new to Spring MVC. So if anyone could explain me how to use DeferredResult for implenting long polling efficiently (server-side code) I would be grateful. I have posted this question before on Stack Overflow but got zero response so I thought of reposting it here again.

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  • Why Oracle Data Integrator for Big Data?

    - by Mala Narasimharajan
    Big Data is everywhere these days - but what exactly is it? It’s data that comes from a multitude of sources – not only structured data, but unstructured data as well.  The sheer volume of data is mindboggling – here are a few examples of big data: climate information collected from sensors, social media information, digital pictures, log files, online video files, medical records or online transaction records.  These are just a few examples of what constitutes big data.   Embedded in big data is tremendous value and being able to manipulate, load, transform and analyze big data is key to enhancing productivity and competitiveness.  The value of big data lies in its propensity for greater in-depth analysis and data segmentation -- in turn giving companies detailed information on product performance, customer preferences and inventory.  Furthermore, by being able to store and create more data in digital form, “big data can unlock significant value by making information transparent and usable at much higher frequency." (McKinsey Global Institute, May 2011) Oracle's flagship product for bulk data movement and transformation, Oracle Data Integrator, is a critical component of Oracle’s Big Data strategy. ODI provides automation, bulk loading, and validation and transformation capabilities for Big Data while minimizing the complexities of using Hadoop.  Specifically, the advantages of ODI in a Big Data scenario are due to pre-built Knowledge Modules that drive processing in Hadoop. This leverages the graphical UI to load and unload data from Hadoop, perform data validations and create mapping expressions for transformations.  The Knowledge Modules provide a key jump-start and eliminate a significant amount of Hadoop development.  Using Oracle Data Integrator together with Oracle Big Data Connectors, you can simplify the complexities of mapping, accessing, and loading big data (via NoSQL or HDFS) but also correlating your enterprise data – this correlation may require integrating across heterogeneous and standards-based environments, connecting to Oracle Exadata, or sourcing via a big data platform such as Oracle Big Data Appliance. To learn more about Oracle Data Integration and Big Data, download our resource kit to see the latest in whitepapers, webinars, downloads, and more… or go to our website on www.oracle.com/bigdata

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  • How to add Spatial Solr to a Solrnet query

    - by Flo
    Hi, I am running Solr on my windows machine using jetty. I have downloaded the Spatial Solr Plugin which I finally managed to get up and running. I am also using Solrnet to query against Solr from my asp.net mvc project. Now, adding data into my index seems to work fine and the SpatialTierUpdateProcessorFactory does work as well. The problem is: How do I add the spatial query to my normal query using the Solrnet library. I have tried adding it using the "ExtraParams" parameter but that didn't work very well. Here is an example of me trying to combine the spatial query with a data range query. The date range query works fine without the spatial query attached to it: new SolrQuery("{!spatial lat=51.5224 long=-2.6257 radius=10000 unit=km calc=arc threadCount=2}") && new SolrQuery(MyCustomQuery.Query) && new SolrQuery(DateRangeQuery); which results in the following query against Solr: (({!spatial lat=51.5224 long=-2.6257 radius=100 unit=km calc=arc threadCount=2} AND *:*) AND _date:[2010-05-07T13:13:37Z TO 2011-05-07T13:13:37Z]) And the error message I get back is: The remote server returned an error: (400) Bad Request. SEVERE: org.apache.solr.common.SolrException: org.apache.lucene.queryParser.Pars eException: Cannot parse '(({!spatial lat=51.5224 lng=-2.6257 radius=10000 unit= km calc=arc threadCount=2} AND *:*) AND _date:[2010-05-07T13:09:49Z TO 2011-05-0 7T13:09:49Z])': Encountered " <RANGEEX_GOOP> "lng=-2.6257 "" at line 1, column 2 4. Was expecting: "}" ... Now, the thing is if I use the Solr Web Admin page and execute the following query against it, everything works fine. {!spatial lat=50.8371 long=4.35536 radius=100 calc=arc unit=km threadcount=2}text:London What is the best/correct way to call the spatial function using SolrNet. Is the best way to somehow add that bit of the query manually to the query string and is so how? Any help is much appreciated!

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  • General Policies and Procedures for Maintaining the Value of Data Assets

    Here is a general list for policies and procedures regarding maintaining the value of data assets. Data Backup Policies and Procedures Backups are very important when dealing with data because there is always the chance of losing data due to faulty hardware or a user activity. So the need for a strategic backup system should be mandatory for all companies. This being said, in the real world some companies that I have worked for do not really have a good data backup plan. Typically when companies tend to take this kind of approach in data backups usually the data is not really recoverable.  Unfortunately when companies do not regularly test their backup plans they get a false sense of security because they think that they are covered. However, I can tell you from personal and professional experience that a backup plan/system is never fully implemented until it is regularly tested prior to the time when it actually needs to be used. Disaster Recovery Plan Expanding on Backup Policies and Procedures, a company needs to also have a disaster recovery plan in order to protect its data in case of a catastrophic disaster.  Disaster recovery plans typically encompass how to restore all of a company’s data and infrastructure back to a restored operational status.  Most Disaster recovery plans also include time estimates on how long each step of the disaster recovery plan should take to be executed.  It is important to note that disaster recovery plans are never fully implemented until they have been tested just like backup plans. Disaster recovery plans should be tested regularly so that the business can be confident in not losing any or minimal data due to a catastrophic disaster. Firewall Policies and Content Filters One way companies can protect their data is by using a firewall to separate their internal network from the outside. Firewalls allow for enabling or disabling network access as data passes through it by applying various defined restrictions. Furthermore firewalls can also be used to prevent access from the internal network to the outside by these same factors. Common Firewall Restrictions Destination/Sender IP Address Destination/Sender Host Names Domain Names Network Ports Companies can also desire to restrict what their network user’s view on the internet through things like content filters. Content filters allow a company to track what webpages a person has accessed and can also restrict user’s access based on established rules set up in the content filter. This device and/or software can block access to domains or specific URLs based on a few factors. Common Content Filter Criteria Known malicious sites Specific Page Content Page Content Theme  Anti-Virus/Mal-ware Polices Fortunately, most companies utilize antivirus programs on all computers and servers for good reason, virus have been known to do the following: Corrupt/Invalidate Data, Destroy Data, and Steal Data. Anti-Virus applications are a great way to prevent any malicious application from being able to gain access to a company’s data.  However, anti-virus programs must be constantly updated because new viruses are always being created, and the anti-virus vendors need to distribute updates to their applications so that they can catch and remove them. Data Validation Policies and Procedures Data validation is very important to ensure that only accurate information is stored. The existence of invalid data can cause major problems when businesses attempt to use data for knowledge based decisions and for performance reporting. Data Scrubbing Policies and Procedures Data scrubbing is valuable to companies in one of two ways. The first can be used to clean data prior to being analyzed for report generation. The second is that it allows companies to remove things like personally Identifiable information from its data prior to transmit it between multiple environments or if the information is sent to an external location. An example of this can be seen with medical records in regards to HIPPA laws that prohibit the storage of specific personal and medical information. Additionally, I have professionally run in to a scenario where the Canadian government does not allow any Canadian’s personal information to be stored on a server not located in Canada. Encryption Practices The use of encryption is very valuable when a company needs to any personal information. This allows users with the appropriated access levels to view or confirm the existence or accuracy of data within a system by either decrypting the information or encrypting a piece of data and comparing it to the stored version.  Additionally, if for some unforeseen reason the data got in to the wrong hands then they would have to first decrypt the data before they could even be able to read it. Encryption just adds and additional layer of protection around data itself. Standard Normalization Practices The use of standard data normalization practices is very important when dealing with data because it can prevent allot of potential issues by eliminating the potential for unnecessary data duplication. Issues caused by data duplication include excess use of data storage, increased chance for invalidated data, and over use of data processing. Network and Database Security/Access Policies Every company has some form of network/data access policy even if they have none. These policies help secure data from being seen by inappropriate users along with preventing the data from being updated or deleted by users. In addition, without a good security policy there is a large potential for data to be corrupted by unassuming users or even stolen. Data Storage Policies Data storage polices are very important depending on how they are implemented especially when a company is trying to utilize them in conjunction with other policies like Data Backups. I have worked at companies where all network user folders are constantly backed up, and if a user wanted to ensure the existence of a piece of data in the form of a file then they had to store that file in their network folder. Conversely, I have also worked in places where when a user logs on or off of the network there entire user profile is backed up. Training Policies One of the biggest ways to prevent data loss and ensure that data will remain a company asset is through training. The practice of properly train employees on how to work with in systems that access data is crucial when trying to ensure a company’s data will remain an asset. Users need to be trained on how to manipulate a company’s data in order to perform their tasks to reduce the chances of invalidating data.

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  • Solr 3 with jetty and ubuntu 11.10

    - by john
    I'd like to install solr 3. It will accept connections only locally. I read that jetty takes less memory than tomcat. I have Ubuntu 11.10 server. There is no clear tutorial about it anywhere on the internet. Most of them are old and talking about other combinations. I tried some of them, but didn't succeed in making it work. I'd prefer using packages with apt-get, but if the packages are not updated, I may install each part manually. Also, some tutorials say to install openjdk-6-jdk and other sun-java6-jdk. What's the difference? What are the steps to set up solr 3 + jetty in ubuntu 11.10?

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  • Solr Autosuggest

    - by rahul
    Hi, I am using Solr (1.4) AutoSuggest feature using termsComponent. Currently, if I type 'goo' means, Solr suggest words like 'google'. But I would like to receive suggestions like 'google, google alerts, ..' . ie, suggestions with single and multiple terms. Not sure, whether I need to use edgengrams for that. for eg, indexing google like 'go', 'oo', 'og', ... . But I think I don't need this, Since I don't want partial search. Please let me know if there is any way to do multiple word suggestions . Thanks in Advance.

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  • How to Install Apache Solr / Java on CentOS?

    - by geerlingguy
    I've seen only one or two tutorials for installing Solr, and particularly Java, on a CentOS machine, and they seem to be overly complex; heck, I can't quite figure out which version of Java (it seems there are many) to install... I'm not a full time sysadmin, so I would like to know what Java version/package I would need to use, and if there's a good tutorial with relatively easy to follow steps for installation. I'm going to try to get Solr working with some Drupal sites, and that part of the equation doesn't seem as hard as the Java side...

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  • Updating solr on a ColdFusion 9 install?

    - by Jordan Reiter
    I'm thinking about upgrading the solr install included with ColdFusion 9 to the latest Apache release. This raises a few questions: Is there a compelling reason not to upgrade to 3.6 (is it slower than, more cumbersome than, or backwards-incompatible with 1.4) altogether? The solr install included with CF9 is customized. Is there a way to customize it myself, or to at least fool CF into treating it like its predecessor? Will all of my existing indexes work as-is (are?) with the new version? Has anyone out there on ServerFault done the upgrade? I'm especially interested in hearing about unforeseen or unexpected effects from the upgrade.

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  • Solr performance (tomcat) - High load

    - by Ward Loockx
    I'm relatively new to solr. I have a production site running on a VPS, but now I'm having serious load issues. I don't know where to start in order to get the load down... VPS specs (linode.com 512) 512 MB RAM 4 CPU (1x priority) Looks like my solr server (tomcat) is using a lot of CPU power You can find my solrconfig.xml on http://pastebin.com/qdfi8Med and my schema.xml on http://pastebin.com/rRusDP8b I've tried to increaese the cache size, but this didn't do anything on the load. You can see the stats page below. EDIT - Because the screenshot was unclear, I took smaller screenshots if what (I think) is important. Dismax query handler stats Caches stats Thanks for the help!

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