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  • What is the Future of Search Engine Optimisation?

    Though those who are into Internet marketing would like to know what the future holds for them, but frankly, it is very difficult to predict this accurately. Forget about the future of SEO, actually it is very difficult to even predict the future of Internet and computers in general. For instance, if 40 years back anyone had predicted that a computer would be sitting on a table of almost every home in the country, then everyone would have thought that he or she was crazy.

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  • Info on Seam's EntityQuery?

    - by Shadowman
    I've been working with Seam and JPA/Hibernate for quite some time, but have just started looking at making use of the EntityHome and EntityQuery classes more. EntityHome seems relatively straightforward in terms of what it is and how I can leverage it. But, EntityQuery is a bit less clear. I understand the ability to grab, for example, a list containing all of a given entity. However, I've also seen some examples using a RESTRICTIONS array. How exactly is this used? Are the OR conditions or AND conditions? Can anyone give me some more detailed information as to how EntityQuery is intended to be used? I've checked the few books I have on Seam and JPA, but none of them really reference the EntityQuery classes. It seems like I very useful mechanism, and I'd like to get some more use out of them if I can. Thanks!

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  • Controlling when SQL UPDATE is executing on ehcache 'd classes

    - by thomers
    We are using Hibernate and ehcache as 2nd level cache. If I load an entity that is cached (e.g. cache-usage="read-write") and update it, it seems that this immediately results in an SQL UPDATE. (How) Can I influence when this SQL UPDATE happens? hibSession = HibernateUtil.getReadWriteSession(); tx = hibSession.beginTransaction(); User u = (User) hibSession.load(User.class, user_id); u.modify(); hibSession.update(u); tx.commit(); Edit: It seems that setting a CacheMode should have an effect, but each hibSession.update() results in an immediate SQL UPDATE, regardless which CacheMode I set.

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  • Another website is mirroring and ranks above my site in search results

    - by Marlboro Goodluck
    There is a site of ill-repute known as thedirty which has completely mirrored my site and now has links appearing on Google at the #1 spot using my content. I checked my log files and noticed that this site has been crawling mine for sometime, and also has 10,000 links from their site to mine. I have blocked user access which is referred from this site and reported them as web spam to Google already. I also disavowed the domain. How are they getting top links in Google (even overtaking mine) for such nefarious tactics? What are the steps to completely eliminating an issue such as this?

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  • How to authenticate users against a Windows AD?

    - by Potinos
    I've a JSF-Hibernate web application. I need to authenticate users against a Windows AD and the web application should only allow logins from members of group X, otherwise it should redirect to an error page. How can I configure this? Also, I would like to display the name of the logged-in user on all pages, not the name of the Windows user of the server machine. I have tried the System.property("user.name") for this, but this only returns the name of the Windows user of the server name.

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  • Local Search Engine Optimization Tips For Small Business

    Having a well optimized website is a important key factor any small business that's targeting their local market. Coming up with a strategy or game plan will help get your products and services seen by your prospective buyers. Here's few tips to help optimize your small business website and promote your company website.

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  • Search Engine Optimisation - Content

    This is the text element on your web pages. It needs to be of good quality and of benefit to the reader. Just having any old content will not get you rewarded by Google et al - they do recognise good quality content - as they do not want to send searchers to sites that are under par.

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  • Link Building Service For Search Engine Optimization

    Link building is among the most typical and effective ways of improving your site's linking profile and, consequently, its overall visibility. Nevertheless, to be able to optimise this completely, you have to do it correctly. This is where professionally managed link building service will come in.

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  • Is it possible with Google searches to ban any and all results from a domain? [closed]

    - by Stu Thompson
    Is it possible to configure Google somehow to permanently ban search results from domains that I know 100% are never, ever going to make me happy? Something cookie/session based maybe? E.g. I want to ban (permanently, forever and always) results from experts-exchange.com. Every time I click results that take me to their page I just want to scream. Update! Google has released a Chrome Extension to allow users to block individual site from Google search results! Personal Blocklist (by Google). (Since this question has been closed, I cannot answer it.)

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  • How to avoid StaleObjectStateException when transaction updates thousands of entities?

    - by ThinkFloyd
    We are using Hibernate 3.6.0.Final with JPA 2 and Spring 3.0.5 for a large scale enterprise application running on tomcat 7 and MySQL 5.5. Most of the transactions in application, lives for less than a second and update 5-10 entities but in some use cases we need to update more than 10-20K entities in single transaction, which takes few minutes and hence more than 70% of times such transaction fails with StaleObjectStateException because some of those entities got updated by some other transaction. We generally maintain version column in all tables and in case of StaleObjectStateException we generally retry but since these longs transactions are anyways very long so if we keep on retrying then also I am not very sure that we'll be able to escape StaleObjectStateException. Also lot of activities keep updating these entities in busy hours so we cannot go with pessimistic approach because it can potentially halt many activities in system. Please suggest how to fix such long transaction issue because we cannot spawn thousands of independent and small transactions because we cannot afford messed up data in case of some failed & some successful transactions.

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  • How to quickly search through a very large list of strings / records on a database

    - by Giorgio
    I have the following problem: I have a database containing more than 2 million records. Each record has a string field X and I want to display a list of records for which field X contains a certain string. Each record is about 500 bytes in size. To make it more concrete: in the GUI of my application I have a text field where I can enter a string. Above the text field I have a table displaying the (first N, e.g. 100) records that match the string in the text field. When I type or delete one character in the text field, the table content must be updated on the fly. I wonder if there is an efficient way of doing this using appropriate index structures and / or caching. As explained above, I only want to display the first N items that match the query. Therefore, for N small enough, it should not be a big issue loading the matching items from the database. Besides, caching items in main memory can make retrieval faster. I think the main problem is how to find the matching items quickly, given the pattern string. Can I rely on some DBMS facilities, or do I have to build some in-memory index myself? Any ideas? EDIT I have run a first experiment. I have split the records into different text files (at most 200 records per file) and put the files in different directories (I used the content of one data field to determine the directory tree). I end up with about 50000 files in about 40000 directories. I have then run Lucene to index the files. Searching for a string with the Lucene demo program is pretty fast. Splitting and indexing took a few minutes: this is totally acceptable for me because it is a static data set that I want to query. The next step is to integrate Lucene in the main program and use the hits returned by Lucene to load the relevant records into main memory.

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