Search Results

Search found 7 results on 1 pages for 'imanc'.

Page 1/1 | 1 

  • text indexes vs integer indexes in mysql

    - by imanc
    Hey, I have always tried to have an integer primary key on a table no matter what. But now I am questioning if this is always necessary. Let's say I have a product table and each product has a globally unique SKU number - that would be a string of say 8-16 characters. Why not make this the PK? Typically I would make this field a unique index but then have an auto incrementing int field as the PK, as I assumed it would be faster, easier to maintain, and would allow me to do things like get the last 5 records added with ease. But in terms of optimisation, assuming I'd only ever be matching the full text field and next doing text matching queries (e.g. like %%) can you guys think of any reasons not to use a text based primary key, most likely of type varchar()? Cheers, imanc

    Read the article

  • automatic push to CDN deployment strategy

    - by imanc
    Does anyone have ideas for a strategy to push content to a CDN upon deployment? The key issue I'm facing is that we have a site that is available in various contexts: local development, development server, staging, then finally live. The liver version of the site needs to load assets from a domain, which will be pointed to a CDN: assets.domain.com. However, we will have numerous references to the assets pointing to a relative folder, e.g. /images/ in css, possibly in js, and in HTML & source. Our new site will use capistrano for deployment and it may be that we can hook in another build tool (apache ant?) or some custom script to search / replace paths. I am wondering if anyone has had to deal with this issue before and what solutions you put in place to automate managing the CDN in terms of pushing content up to the CDN and managing html & css references to assets in the CDN. Thanks Imanc

    Read the article

  • django powering multiple shops from one code base on a single domain

    - by imanc
    Hey, I am new to django and python and am trying to figure out how to modify an existing app to run multiple shops through a single domain. Django's sites middleware seems inappropriate in this particular case because it manages different domains, not sites run through the same domain, e.g. : domain.com/uk domain.com/us domain.com/es etc. Each site will need translated content - and minor template changes. The solution needs to be flexible enough to allow for easy modification of templates. The forms will also need to vary a bit, e.g minor variances in fields and validation for each country specific shop. I am thinking along the lines of the following as a solution and would love some feedback from experienced django-ers: In short: same codebase, but separate country specific urls files, separate templates and separate database Create a middleware class that does IP localisation, determines the country based on the URL and creates a database connection, e.g. /au/ will point to the au specific database and so on. in root urls.py have routes that point to a separate country specific routing file, e..g (r'^au/',include('urls_au')), (r'^es/',include('urls_es')), use a single template directory but in that directory have a localised directory structure, e.g. /base.html and /uk/base.html and write a custom template loader that looks for local templates first. (or have a separate directory for each shop and set the template directory path in middleware) use the django internationalisation to manage translation strings throughout slight variances in forms and models (e.g. ZA has an ID field, France has 'door code' and 'floor' etc.) I am unsure how to handle these variations but I suspect the tables will contain all fields but allowing nulls and the model will have all fields but allowing nulls. The forms will to be modified slightly for each shop. Anyway, I am keen to get feedback on the best way to go about achieving this multi site solution. It seems like it would work, but feels a bit "hackish" and I wonder if there's a more elegant way of getting this solution to work. Thanks, imanc

    Read the article

  • Database structure for ecommerce site

    - by imanc
    Hey Guys, I have been tasked with designing an ecommerce solution. The aspect that is causing me the most problems is the database. Currently the site consists of 10+ country based shops each with their own database (all residing on the same mysql instance). For the new site I'd rather all these shop databases be merged into one database so that all tables (products, orders, customers etc.) have a shop_id field. From a programming perspective this seems to make the most sense as we won't have to manage data across multiple databases. Currently the entire site generates about 120k orders a year, but is experiencing fairly heavy growth and we need to design a solution that will scale. In 5 years there may be more than a million orders per year and a database that contains 5 years order history (archiving maybe a solution here). The question is - do we use a single database, or do we keep the database-per-shop structure? I am currently trying to find supporting evidence for either avenue. The company I am designing the solution for prefer the per-shop database structure because they believe it will allow the sites to scale. But my argument is that the shop's database probably won't get that busy over the next few years that they exceed the capacity of a mysql database and a "no expenses spared" hardware set-up. I am wondering if anyone has any advice either way? Does anyone have experience with websites / ecommerce sites that have tables containing millions of records? I know there is probably not a clear answer here, but at what stage do we have too many records or too large table files to have a fast loading site? Also, if anyone has any advice on sources of information - books, websites, etc. where I can do further research, it would be highly appreciated! Cheers, imanc

    Read the article

  • multi-shop orders table and sequential order numbers based on shop

    - by imanc
    Hey, I am looking at building a shop solution that needs to be scalable. Currently it retrieves 1-2000 orders on average per day across multiple country based shops (e.g. uk, us, de, dk, es etc.) but this order could be 10x this amount in two years. I am looking at either using separate country-shop databases to store the orders tables, or looking to combine all into one order table. If all orders exist in one table with a global ID (auto num) and country ID (e.g uk,de,dk etc.), each countries orders would also need to have sequential ordering. So in essence, we'd have to have a global ID and a country order ID, with the country order ID being sequential for countries only, e.g. global ID = 1000, country = UK, country order ID = 1000 global ID = 1001, country = DE, country order ID = 1000 global ID = 1002, country = DE, country order ID = 1001 global ID = 1003, country = DE, country order ID = 1002 global ID = 1004, country = UK, country order ID = 1001 THe global ID would be DB generated and not something I would need to worry about. But I am thinking that I'd have to do a query to get the current country order based ID+1 to find the next sequential number. Two things concern me about this: 1) query times when the table has potentially millions of rows of data and I'm doing a read before a write, 2) the potential for ID number clashes due to simultaneous writes/reads. With a MyISAM table the entire table could be locked whilst the last country order + 1 is retrieved, to prevent ID number clashes. I am wondering if anyone knows of a more elegant solution? Cheers, imanc

    Read the article

  • UTF8 charset, diacritical elements, conversion problems - and Zend Framework form escaping

    - by imanc
    Hey, I am writing a webapp in ZF and am having serious issues with UTF8. It's using multi lingual content through Zend Form and it seems that ZF heavily escapes all of these characters and basically just won't show a field if there's diacritical elements 'é' and if I use the HTML entity equivalent e.g. é it gets escaped so that the user will see 'é'. Zend Form allows for having non escaped data, but trying to use this is confusing, and it seems it'd need to be used all over the place. So, I have been told that if the page and the text is in UTF8, no conversion to htmlentities is required. Is this true? And if the last question is true, then how do I convert the source text to UTF8? I am comfortable setting up apache so that it sends a default UTF8 charset heading, and also adding the charset meta tag to the html, but doing this I am still getting messed up encoding. I have also tried opening the translation csv file in TextWrangler on OSX as UTF8, but it has done nothing. Thanks! L

    Read the article

  • database design - empty fields

    - by imanc
    Hey, I am currently debating an issue with a guy on my dev team. He believes that empty fields are bad news. For instance, if we have a customer details table that stores data for customers from different countries, and each country has a slightly different address configuration - plus 1-2 extra fields, e.g. French customer details may also store details for entry code, and floor/level plus title fields (madamme, etc.). South Africa would have a security number. And so on. Given that we're talking about minor variances my idea is to put all of the fields into the table and use what is needed on each form. My colleague believes we should have a separate table with extra data. E.g. customer_info_fr. But this seams to totally defeat the purpose of a combined table in the first place. His argument is that empty fields / columns is bad - but I'm struggling to find justification in terms of database design principles for or against this argument and preferred solutions. Another option is a separate mini EAV table that stores extra data with parent_id, key, val fields. Or to serialise extra data into an extra_data column in the main customer_data table. I think I am confused because what I'm discussing is not covered by 3NF which is what I would typically use as a reference for how to structure data. So my question specifically: - if you have slight variances in data for each record (1-2 different fields for instance) what is the best way to proceed?

    Read the article

1