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  • Cake Php After Php GD library installation comes error as appending 'index.php' in urls

    - by Jusnit
    I am using using Cake PHP with nginx server, inorder to enable captcha support , I installed the PHP GD library to server After the installation , All the urls in cake php is appended with 'index.php' Like www.mydomain.com/index.php instead of www.mydomain.com There cake php HtmlHelper link and image function, it all appending url "/index.php/img/flower.jpg" instead "/img/flower.jpg". Please help to solve this problem..

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  • SQL server Rebuild Index

    - by Uday
    How can we know that before rebuilding index --How much space is required for the Transaction Log file( I knew we may required to consider sort_tempdb option , if we set to ON then we may required to ensure about tempdb space as well , Also if we set off then sorting, temporary indexes(during Build phase of rebuild index) creation will takes place in same Database.)?. Usually I have checked with Many users they say :Log file size =1.5 * Index size. How much space required for the Filegroup for datafiles-for ex-Consider I have one filegroup with 1 Mdf + ndf files. I have MSDN Link :those are pretty good information about per-requisites before rebuild index Link :http://msdn.microsoft.com/en-us/library/ms191183.aspx How can I tell exactly or Approx... to get Log/Primary FG size(or any other filegroup).

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  • static index.html file nginx

    - by Guntis
    We are using nginx with php-fpm. We plan to make first page static (generate html file). if we have 100 concurrent connections, how we can handle file regeneration? basically we need generate new file index_new.html, then delete index.html, and then move index_new.html to index.html. What happens when index.html file was deleted? User gets 404 error? Or nginx handles file from OS cache? One idea is to tell nginx, that 404 error is index_new.html and then not to move index_new to index, but copy. But i don't like idea about 404 error. Thanks.

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  • Apache rewrite rule to remove index.php and direct certain areas to https

    - by Stephen Martin
    I have a codeignitor application running on Apache2, I have managed to remove the index.php from the urls with this .htaccess RewriteEngine on RewriteCond %{REQUEST_FILENAME} !-f RewriteCond %{REQUEST_FILENAME} !-d RewriteRule .* index.php/$0 [PT,L] now I want to make certain parts of the site redirect to https, I tried this: RewriteEngine on RewriteCond %{REQUEST_FILENAME} !-f RewriteCond %{REQUEST_FILENAME} !-d RewriteRule .* index.php/$0 [PT,L] RewriteRule ^/?cpanel/(.*) https://%{SERVER_NAME}/cpanel/$1 [R,L] RewriteRule ^/?login/(.*) https://%{SERVER_NAME}/cpanel/$1 [R,L] But it doesn't work. I have to say when it comes to Apache rewrites im a noob. I can't find any tutorials on how to remove index.php and rewrite/redirect certain parts of the site to https. Any ideas, Thanks.

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  • Serving index.html from a subdirectory

    - by xbonez
    In my document root, I have to directories: home and foobar, both with their own index.html files. How can I set it up so that when someone visits my site at example.com, they see the contents on home/index.html? I tried using an index.php with a redirect in document root, as well as a .htaccess redirect, but both of them change the URL in the browser to example.com/home/, which I would like to ideally avoid.

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  • need assistance with my.cnf - 1500% CPU usage

    - by Alan Long
    I'm running into a few issues with our new database server. It is a HP G8 with 2 INTEL XEON E5-2650 processors and 32GB of ram. This server is dedicated as a MySQL server (5.1.69) for our intranet portal. I have been having issues with this server staying alive - I notice high CPU usage during certain times of day (8% ~ 1500%+) and see very low memory usage (7 ~ 15%) based on using the 'top' command. When the CPU usage passes 1000%, that is when the app usually dies. I'm trying to see what I'm doing wrong with the config file, hopefully one of the experts can chime in and let me know what they think. See below for my.cnf file: [mysqld] default-storage-engine=InnoDB datadir=/var/lib/mysql socket=/var/lib/mysql/mysql.sock #user=mysql large-pages # Disabling symbolic-links is recommended to prevent assorted security risks symbolic-links=0 max_connections=275 tmp_table_size=1G key_buffer_size=384M key_buffer=384M thread_cache_size=1024 long_query_time=5 low_priority_updates=1 max_heap_table_size=1G myisam_sort_buffer_size=8M concurrent_insert=2 table_cache=1024 sort_buffer_size=8M read_buffer_size=5M read_rnd_buffer_size=6M join_buffer_size=16M table_definition_cache=6k open_files_limit=8k slow_query_log #skip-name-resolve # Innodb Settings innodb_buffer_pool_size=18G innodb_thread_concurrency=0 innodb_log_file_size=1G innodb_log_buffer_size=16M innodb_flush_log_at_trx_commit=2 innodb_lock_wait_timeout=50 innodb_file_per_table #innodb_buffer_pool_instances=4 #eliminating double buffering innodb_flush_method = O_DIRECT flush_time=86400 innodb_additional_mem_pool_size=40M #innodb_io_capacity = 5000 #innodb_read_io_threads = 64 #innodb_write_io_threads = 64 # increase until threads_created doesnt grow anymore thread_cache=1024 query_cache_type=1 query_cache_limit=4M query_cache_size=256M # Try number of CPU's*2 for thread_concurrency thread_concurrency = 0 wait_timeout = 1800 connect_timeout = 10 interactive_timeout = 60 [mysqldump] max_allowed_packet=32M [mysqld_safe] log-error=/var/log/mysqld.log pid-file=/var/run/mysqld/mysqld.pid log-slow-queries=/var/log/mysql/slow-queries.log long_query_time = 1 log-queries-not-using-indexes we connect to one database with 75 tables, the largest table has 1,150,000 entries and the second largest has 128,036 entries. I have also verified that our PHP queries are optimized as best as possible. Reference - MySQLtuner: >> MySQLTuner 1.2.0 - Major Hayden <[email protected]> >> Bug reports, feature requests, and downloads at http://mysqltuner.com/ >> Run with '--help' for additional options and output filtering -------- General Statistics -------------------------------------------------- [--] Skipped version check for MySQLTuner script [OK] Currently running supported MySQL version 5.1.69-log [OK] Operating on 64-bit architecture -------- Storage Engine Statistics ------------------------------------------- [--] Status: -Archive -BDB -Federated +InnoDB -ISAM -NDBCluster [--] Data in InnoDB tables: 420M (Tables: 75) [!!] Total fragmented tables: 75 -------- Security Recommendations ------------------------------------------- [!!] User '[email protected]' has no password set. -------- Performance Metrics ------------------------------------------------- [--] Up for: 1h 14m 50s (8M q [1K qps], 705 conn, TX: 6B, RX: 892M) [--] Reads / Writes: 68% / 32% [--] Total buffers: 19.7G global + 35.2M per thread (275 max threads) [!!] Maximum possible memory usage: 29.1G (93% of installed RAM) [OK] Slow queries: 0% (472/8M) [OK] Highest usage of available connections: 66% (183/275) [OK] Key buffer size / total MyISAM indexes: 384.0M/91.0K [OK] Key buffer hit rate: 100.0% (173 cached / 0 reads) [OK] Query cache efficiency: 96.2% (7M cached / 7M selects) [!!] Query cache prunes per day: 553614 [OK] Sorts requiring temporary tables: 0% (3 temp sorts / 1K sorts) [!!] Temporary tables created on disk: 49% (3K on disk / 7K total) [OK] Thread cache hit rate: 74% (183 created / 705 connections) [OK] Table cache hit rate: 97% (231 open / 238 opened) [OK] Open file limit used: 0% (17/8K) [OK] Table locks acquired immediately: 100% (432K immediate / 432K locks) [OK] InnoDB data size / buffer pool: 420.9M/18.0G -------- Recommendations ----------------------------------------------------- General recommendations: Run OPTIMIZE TABLE to defragment tables for better performance MySQL started within last 24 hours - recommendations may be inaccurate Reduce your overall MySQL memory footprint for system stability Increasing the query_cache size over 128M may reduce performance Temporary table size is already large - reduce result set size Reduce your SELECT DISTINCT queries without LIMIT clauses Variables to adjust: *** MySQL's maximum memory usage is dangerously high *** *** Add RAM before increasing MySQL buffer variables *** query_cache_size (> 256M) [see warning above] Thanks in advanced for your help!

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  • How to Modify Windows 7 Search to Index Removable Drives

    - by AMissico
    I have over 8GB in my "Code Library" that I maintain on a 64GB "ScanDisk Ultra Backup USB Device". Windows Search 4.0 (installed on Windows XP) can index removable drives, but Windows 7 (which uses Windows Search 4.0) cannot because the USB device identifies itself as a "Removable" drive and Windows 7 refuses to index removable drives. How can I modify Windows 7 Search to index removable drives? All suggestions welcome and greatly appreciated.

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  • Mysql: create index on 1.4 billion records

    - by SiLent SoNG
    I have a table with 1.4 billion records. The table structure is as follows: CREATE TABLE text_page ( text VARCHAR(255), page_id INT UNSIGNED ) ENGINE=MYISAM DEFAULT CHARSET=ascii The requirement is to create an index over the column text. The table size is about 34G. I have tried to create the index by the following statement: ALTER TABLE text_page ADD KEY ix_text (text) After 10 hours' waiting I finally give up this approach. Is there any workable solution on this problem? UPDATE: the table is unlikely to be updated or inserted or deleted. The reason why to create index on the column text is because this kind of sql query would be frequently executed: SELECT page_id FROM text_page WHERE text = ? UPDATE: I have solved the problem by partitioning the table. The table is partitioned into 40 pieces on column text. Then creating index on the table takes about 1 hours to complete. It seems that MySQL index creation becomes very slow when the table size becomes very big. And partitioning reduces the table into smaller trunks.

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  • Fresh install of nginx causes browser to download index.html instead of opening it

    - by 010110110101
    When I view this in Chrome, http://localhost:90 the file is downloaded instead of displayed in Chrome. This question has been asked a lot of times on SO, but about index.php files. My problem is a plain jane HTML file, not a PHP file. That hasn't been asked yet. I was hoping the solution would be similar, but I haven't been able to figure it out. Here's my example.com.conf: server { server_name localhost; listen 90; root /var/www/example.com/html index index.html location / { try_file $uri $uri/ =404; } } My index.html file contains only two words, no markup Hello World I think it's the mime.types. The mime.types file has the entry for html in it. This is a fresh nginx install. nginx -t reports "test is successful"

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  • MySQL reclaim index space after large delete?

    - by cdunn
    After performing a large delete in MySQL, I understand you need to run a NULL ALTER to reclaim disk space, is this also true for reclaiming index space? We have tables using 10G of index space and have deleted/archived large chunks of this data and unsure if we need to rebuild the table in order to decrease the size of the index. Can anyone offer any advice? We are trying to avoid rebuilding the table since it would take quite awhile and lock the table. Thanks!

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  • multi-dimension array problem in RGSS (RPG Maker XP)

    - by AzDesign
    This is my first day code script in RMXP. I read tutorials, ruby references, etc and I found myself stuck on a weird problem, here is the scenario: I made a custom script to display layered images Create the class, create an instance variable to hold the array, create a simple method to add an element into it, done The draw method (skipped the rest of the code to this part): def draw image = [] index = 0 for i in [email protected] if image.size > 0 index = image.size end image[index] = Sprite.new image[index].bitmap = RPG::Cache.picture(@components[i][0] + '.png') image[index].x = @x + @components[i][1] image[index].y = @y + @components[i][2] image[index].z = @z + @components[i][3] @test =+ 1 end end Create an event that does these script > $layerz = Layerz.new $layerz.configuration[0] = ['root',0,0,1] > $layerz.configuration[1] = ['bark',0,10,2] > $layerz.configuration[2] = ['branch',0,30,3] > $layerz.configuration[3] = ['leaves',0,60,4] $layerz.draw Run, trigger the event and the result : ERROR! Undefined method`[]' for nil:NilClass pointing at this line on draw method : image[index].bitmap = RPG::Cache.picture(@components[i][0] + '.png') THEN, I changed the method like these just for testing: def draw image = [] index = 0 for i in [email protected] if image.size > 0 index = image.size end image[index] = Sprite.new image[index].bitmap = RPG::Cache.picture(@components[0][0] + '.png') image[index].x = @x + @components[0][1] image[index].y = @y + @components[0][2] image[index].z = @z + @components[0][3] @test =+ 1 end I changed the @components[i][0] to @components[0][0] and IT WORKS, but only the root as it not iterates to the next array index Im stuck here, see : > in single level array, @components[0] and @components[i] has no problem > in multi-dimension array, @components[0][0] has no problem BUT > in multi-dimension array, @components[i][0] produce the error as above > mentioned. any suggestion to fix the error ? Or did I wrote something wrong ?

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  • How to get search engines to properly index an ajax driven search page

    - by Redtopia
    I have an ajax-driven search page that will allow users to search through a large collection of records. Each search result points to index.php?id=xyz (where xyz is the id of the record). The initial view does not have any records listed, and there is no interface that allows you to browse through all records. You can only conduct a search. How do I build the page so that spiders can crawl each record? Or is there another way (outside of this specific search page) that will allow me to point spiders to a list of all records. FYI, the collection is rather large, so dumping links to every record in a single request is not a workable solution. Outputting the records must be done in multiple requests. Each record can be viewed via a single page (eg "record.php?id=xyz"). I would like all the records indexed without anything indexed from the sitemap that shows where the records exist, for example: <a href="/result.php?id=record1">Record 1</a> <a href="/result.php?id=record2">Record 2</a> <a href="/result.php?id=record3">Record 3</a> <a href="/seo.php?page=2">next</a> Assuming this is the correct approach, I have these questions: How would the search engines find the crawl page? Is it possible to prevent the search engines from indexing the words "Record 1", etc. and "next"? Can I output only the links? Or maybe something like:  

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  • SEO - Index images (lazyload)

    - by Guilherme Nascimento
    Note:My question is not about Javascript. I'm developing a plugin for jQuery/Mootols/Prototype, that work with DOM. This plugin will be to improve page performance (better user experience). The plugin will be distributed to other developers so that they can use in their projects. How does the lazyload: The images are only loaded when you scroll down the page (will look like this: http://www.appelsiini.net/projects/lazyload/enabled_timeout.html LazyLoad). But he does not need HTML5, I refer to this attribute: data-src="image.jpg" Two good examples of website use LazyLoad are: youtube.com (suggested videos) and facebook.com (photo gallery). I believe that the best alternative would be to use: <A href="image.jpg">Content for ALT=""</a> and convert using javascript, for this: <IMG alt="Content for ALT=\"\"" src="image.jpg"> Then you question me: Why do you want to do that anyway? I'll tell you: Because HTML5 is not supported by any browser (especially mobile) And the attribute data-src="image.jpg" not work at all Indexers. I need a piece of HTML code to be fully accessible to search engines. Otherwise the plugin will not be something good for other developers. I thought about doing so to help in indexing: <noscript><img src="teste.jpg"></noscript> But noscript has negative effect on the index (I refer to the contents of noscript) I want a plugin that will not obstruct the image indexing in search engines. This plugin will be used by other developers (and me too). This is my question: How to make a HTML images accessible to search engines, which can minimize the requests?

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  • Request Removal of naked domain from Google Index

    - by Pedr
    I have a site which was temporarily available at both example.com and www.example.com. All traffic to example.com is now redirected to www.example.com, however during the brief period that the site was available at the naked domain, Google indexed it. So Google now has two versions of every page indexed: www.example.com www.example.com/about_us www.example.com/products/something ... and example.com example.com/about_us example.com/products/something ... For obvious reasons, this is a bad situation, so how can I best resolve it? Should I request removal of these pages from the index? There is still content at these URLs, but they now redirect to the www subdomain equivalent. The site has many hundreds of pages, but the only way I can see to request removal is via the Remove outdated content screen in Webmaster Tools, one URL at a time. How can I request removal of an entire domain (ie. the naked domain) without it effecting the true site located at the www subdomain? Is this the correct strategy given that all the naked domains now redirect to their www equivalent?

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  • Python: Memory usage and optimization when modifying lists

    - by xApple
    The problem My concern is the following: I am storing a relativity large dataset in a classical python list and in order to process the data I must iterate over the list several times, perform some operations on the elements, and often pop an item out of the list. It seems that deleting one item out of a Python list costs O(N) since Python has to copy all the items above the element at hand down one place. Furthermore, since the number of items to delete is approximately proportional to the number of elements in the list this results in an O(N^2) algorithm. I am hoping to find a solution that is cost effective (time and memory-wise). I have studied what I could find on the internet and have summarized my different options below. Which one is the best candidate ? Keeping a local index: while processingdata: index = 0 while index < len(somelist): item = somelist[index] dosomestuff(item) if somecondition(item): del somelist[index] else: index += 1 This is the original solution I came up with. Not only is this not very elegant, but I am hoping there is better way to do it that remains time and memory efficient. Walking the list backwards: while processingdata: for i in xrange(len(somelist) - 1, -1, -1): dosomestuff(item) if somecondition(somelist, i): somelist.pop(i) This avoids incrementing an index variable but ultimately has the same cost as the original version. It also breaks the logic of dosomestuff(item) that wishes to process them in the same order as they appear in the original list. Making a new list: while processingdata: for i, item in enumerate(somelist): dosomestuff(item) newlist = [] for item in somelist: if somecondition(item): newlist.append(item) somelist = newlist gc.collect() This is a very naive strategy for eliminating elements from a list and requires lots of memory since an almost full copy of the list must be made. Using list comprehensions: while processingdata: for i, item in enumerate(somelist): dosomestuff(item) somelist[:] = [x for x in somelist if somecondition(x)] This is very elegant but under-the-cover it walks the whole list one more time and must copy most of the elements in it. My intuition is that this operation probably costs more than the original del statement at least memory wise. Keep in mind that somelist can be huge and that any solution that will iterate through it only once per run will probably always win. Using the filter function: while processingdata: for i, item in enumerate(somelist): dosomestuff(item) somelist = filter(lambda x: not subtle_condition(x), somelist) This also creates a new list occupying lots of RAM. Using the itertools' filter function: from itertools import ifilterfalse while processingdata: for item in itertools.ifilterfalse(somecondtion, somelist): dosomestuff(item) This version of the filter call does not create a new list but will not call dosomestuff on every item breaking the logic of the algorithm. I am including this example only for the purpose of creating an exhaustive list. Moving items up the list while walking while processingdata: index = 0 for item in somelist: dosomestuff(item) if not somecondition(item): somelist[index] = item index += 1 del somelist[index:] This is a subtle method that seems cost effective. I think it will move each item (or the pointer to each item ?) exactly once resulting in an O(N) algorithm. Finally, I hope Python will be intelligent enough to resize the list at the end without allocating memory for a new copy of the list. Not sure though. Abandoning Python lists: class Doubly_Linked_List: def __init__(self): self.first = None self.last = None self.n = 0 def __len__(self): return self.n def __iter__(self): return DLLIter(self) def iterator(self): return self.__iter__() def append(self, x): x = DLLElement(x) x.next = None if self.last is None: x.prev = None self.last = x self.first = x self.n = 1 else: x.prev = self.last x.prev.next = x self.last = x self.n += 1 class DLLElement: def __init__(self, x): self.next = None self.data = x self.prev = None class DLLIter: etc... This type of object resembles a python list in a limited way. However, deletion of an element is guaranteed O(1). I would not like to go here since this would require massive amounts of code refactoring almost everywhere.

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  • Setting Key Usage attributes with Makecert

    - by nlawalker
    Is it possible to set Key Usage attributes using makecert, or any other tool I can use to generate my own test certificates? The reason I'm interested is that certificates used for BizTalk Server AS2 transport require a key usage of Digital Signature for signing and Data Encipherment or Key Encipherment for encryption/decryption, and I want to play around with this feature. I see how to set enhanced key usage attributes with makecert, but not key usage.

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  • SQL indexes for "not equal" searches

    - by bortzmeyer
    The SQL index allows to find quickly a string which matches my query. Now, I have to search in a big table the strings which do not match. Of course, the normal index does not help and I have to do a slow sequential scan: essais=> \d phone_idx Index "public.phone_idx" Column | Type --------+------ phone | text btree, for table "public.phonespersons" essais=> EXPLAIN SELECT person FROM PhonesPersons WHERE phone = '+33 1234567'; QUERY PLAN ------------------------------------------------------------------------------- Index Scan using phone_idx on phonespersons (cost=0.00..8.41 rows=1 width=4) Index Cond: (phone = '+33 1234567'::text) (2 rows) essais=> EXPLAIN SELECT person FROM PhonesPersons WHERE phone != '+33 1234567'; QUERY PLAN ---------------------------------------------------------------------- Seq Scan on phonespersons (cost=0.00..18621.00 rows=999999 width=4) Filter: (phone <> '+33 1234567'::text) (2 rows) I understand (see Mark Byers' very good explanations) that PostgreSQL can decide not to use an index when it sees that a sequential scan would be faster (for instance if almost all the tuples match). But, here, "not equal" searches are really slower. Any way to make these "is not equal to" searches faster? Here is another example, to address Mark Byers' excellent remarks. The index is used for the '=' query (which returns the vast majority of tuples) but not for the '!=' query: essais=> EXPLAIN ANALYZE SELECT person FROM EmailsPersons WHERE tld(email) = 'fr'; QUERY PLAN ------------------------------------------------------------------------------------------------------------------------------------ Index Scan using tld_idx on emailspersons (cost=0.25..4010.79 rows=97033 width=4) (actual time=0.137..261.123 rows=97110 loops=1) Index Cond: (tld(email) = 'fr'::text) Total runtime: 444.800 ms (3 rows) essais=> EXPLAIN ANALYZE SELECT person FROM EmailsPersons WHERE tld(email) != 'fr'; QUERY PLAN -------------------------------------------------------------------------------------------------------------------- Seq Scan on emailspersons (cost=0.00..27129.00 rows=2967 width=4) (actual time=1.004..1031.224 rows=2890 loops=1) Filter: (tld(email) <> 'fr'::text) Total runtime: 1037.278 ms (3 rows) DBMS is PostgreSQL 8.3 (but I can upgrade to 8.4).

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  • MongoDB usage best practices

    - by andresv
    The project I'm working on uses MongoDB for some stuff so I'm creating some documents to help developers speedup the learning curve and also avoid mistakes and help them write clean & reliable code. This is my first version of it, so I'm pretty sure I will be adding more stuff to it, so stay tuned! C# Official driver notes The 10gen official MongoDB driver should always be referenced in projects by using NUGET. Do not manually download and reference assemblies in any project. C# driver quickstart guide: http://www.mongodb.org/display/DOCS/CSharp+Driver+Quickstart Reference links C# Language Center: http://www.mongodb.org/display/DOCS/CSharp+Language+Center MongoDB Server Documentation: http://www.mongodb.org/display/DOCS/Home MongoDB Server Downloads: http://www.mongodb.org/downloads MongoDB client drivers download: http://www.mongodb.org/display/DOCS/Drivers MongoDB Community content: http://www.mongodb.org/display/DOCS/CSharp+Community+Projects Tutorials Tutorial MongoDB con ASP.NET MVC - Ejemplo Práctico (Spanish):http://geeks.ms/blogs/gperez/archive/2011/12/02/tutorial-mongodb-con-asp-net-mvc-ejemplo-pr-225-ctico.aspx MongoDB and C#:http://www.codeproject.com/Articles/87757/MongoDB-and-C C# driver LINQ tutorial:http://www.mongodb.org/display/DOCS/CSharp+Driver+LINQ+Tutorial C# driver reference: http://www.mongodb.org/display/DOCS/CSharp+Driver+Tutorial Safe Mode Connection The C# driver supports two connection modes: safe and unsafe. Safe connection mode (only applies to methods that modify data in a database like Inserts, Deletes and Updates. While the current driver defaults to unsafe mode (safeMode == false) it's recommended to always enable safe mode, and force unsafe mode on specific things we know aren't critical. When safe mode is enabled, the driver internal code calls the MongoDB "getLastError" function to ensure the last operation is completed before returning control the the caller. For more information on using safe mode and their implicancies on performance and data reliability see: http://www.mongodb.org/display/DOCS/getLastError+Command If safe mode is not enabled, all data modification calls to the database are executed asynchronously (fire & forget) without waiting for the result of the operation. This mode could be useful for creating / updating non-critical data like performance counters, usage logging and so on. It's important to know that not using safe mode implies that data loss can occur without any notification to the caller. As with any wait operation, enabling safe mode also implies dealing with timeouts. For more information about C# driver safe mode configuration see: http://www.mongodb.org/display/DOCS/CSharp+getLastError+and+SafeMode The safe mode configuration can be specified at different levels: Connection string: mongodb://hostname/?safe=true Database: when obtaining a database instance using the server.GetDatabase(name, safeMode) method Collection: when obtaining a collection instance using the database.GetCollection(name, safeMode) method Operation: for example, when executing the collection.Insert(document, safeMode) method Some useful SafeMode article: http://stackoverflow.com/questions/4604868/mongodb-c-sharp-safemode-official-driver Exception Handling The driver ensures that an exception will be thrown in case of something going wrong, in case of using safe mode (as said above, when not using safe mode no exception will be thrown no matter what the outcome of the operation is). As explained here https://groups.google.com/forum/?fromgroups#!topic/mongodb-user/mS6jIq5FUiM there is no need to check for any returned value from a driver method inserting data. With updates the situation is similar to any other relational database: if an update command doesn't affect any records, the call will suceed anyway (no exception thrown) and you manually have to check for something like "records affected". For MongoDB, an Update operation will return an instance of the "SafeModeResult" class, and you can verify the "DocumentsAffected" property to ensure the intended document was indeed updated. Note: Please remember that an Update method might return a null instance instead of an "SafeModeResult" instance when safe mode is not enabled. Useful Community Articles Comments about how MongoDB works and how that might affect your application: http://ethangunderson.com/blog/two-reasons-to-not-use-mongodb/ FourSquare using MongoDB had serious scalability problems: http://mashable.com/2010/10/07/mongodb-foursquare/ Is MongoDB a replacement for Memcached? http://www.quora.com/Is-MongoDB-a-good-replacement-for-Memcached/answer/Rick-Branson MongoDB Introduction, shell, when not to use, maintenance, upgrade, backups, memory, sharding, etc: http://www.markus-gattol.name/ws/mongodb.html MongoDB Collection level locking support: https://jira.mongodb.org/browse/SERVER-1240 MongoDB performance tips: http://www.quora.com/MongoDB/What-are-some-best-practices-for-optimal-performance-of-MongoDB-particularly-for-queries-that-involve-multiple-documents Lessons learned migrating from SQL Server to MongoDB: http://www.wireclub.com/development/TqnkQwQ8CxUYTVT90/read MongoDB replication performance: http://benshepheard.blogspot.com.ar/2011/01/mongodb-replication-performance.html

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  • How to internally rewrite a page when requested from specific HTTP_HOST

    - by Andy
    Hi all, I have a Drupal site, site.com, and our client has a campaign that they're promoting for which they've bought a new domain name, campaign.com. I'd like it so that a request for campaign.com internally rewrites to a particular page of the Drupal site. Note Drupal uses an .htaccess file in the document root. The normal Drupal rewrite is # Rewrite URLs of the form 'x' to the form 'index.php?q=x'. RewriteCond %{REQUEST_FILENAME} !-f RewriteCond %{REQUEST_FILENAME} !-d RewriteCond %{REQUEST_URI} !=/favicon.ico RewriteRule ^(.*)$ index.php?q=$1 [L,QSA] I added the following before the normal rewrite. # Custom URLS (eg. microsites) go here RewriteCond %{HTTP_HOST} =campaign.com RewriteCond %{REQUEST_URI} =/ RewriteRule ^ index.php?q=node/22 [L] Unfortunately it doesn't work, it just shows the homepage. Turning on the rewrite log I get this. 1. [rid#2da8ea8/initial] (3) [perdir D:/wamp/www/] strip per-dir prefix: D:/wamp/www/ - 2. [rid#2da8ea8/initial] (3) [perdir D:/wamp/www/] applying pattern '^' to uri '' 3. [rid#2da8ea8/initial] (2) [perdir D:/wamp/www/] rewrite '' - 'index.php?q=node/22' 4. [rid#2da8ea8/initial] (3) split uri=index.php?q=node/22 - uri=index.php, args=q=node/22 5. [rid#2da8ea8/initial] (3) [perdir D:/wamp/www/] add per-dir prefix: index.php - D:/wamp/www/index.php 6. [rid#2da8ea8/initial] (2) [perdir D:/wamp/www/] strip document_root prefix: D:/wamp/www/index.php - /index.php 7. [rid#2da8ea8/initial] (1) [perdir D:/wamp/www/] internal redirect with /index.php [INTERNAL REDIRECT] 8. [rid#2da7770/initial/redir#1] (3) [perdir D:/wamp/www/] strip per-dir prefix: D:/wamp/www/index.php - index.php 9. [rid#2da7770/initial/redir#1] (3) [perdir D:/wamp/www/] applying pattern '^' to uri 'index.php' 10.[rid#2da7770/initial/redir#1] (3) [perdir D:/wamp/www/] strip per-dir prefix: D:/wamp/www/index.php - index.php 11.[rid#2da7770/initial/redir#1] (3) [perdir D:/wamp/www/] applying pattern '^(.*)$' to uri 'index.php' 12.[rid#2da7770/initial/redir#1] (1) [perdir D:/wamp/www/] pass through D:/wamp/www/index.php I'm not used to mod_rewrite, so I might be missing something, but comparing the logs from a call to http://site.com/node/3 and from http://campaign.com/ I can't see any meaningful difference. Specifically uri and args on line 4 seem correct, the internal redirect on line 7 seems right, and the pass through on line 12 seems right (because the file index.php exists). But for some reason it seems the query string's been discarded/ignored around the time of the internal redirect. I'm completely stumped. Also, if anyone could provide a reference on understanding the rewrite log, that might help. It'd be great if there's a way to track the query string through the internal redirect. FWIW I'm using WampServer 2.1 with Apache 2.2.17.

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  • Visual Studio 2010 plus Help Index : have your cake and eat it too

    - by Adrian Hara
    Although the team's intentions might have been good, the new help system in Visual Studio 2010  is a huge step backwards (more like a cannonball-shot-kind-of-leap really) from the one we all know (and love?) in Visual Studio 2008 and 2005 (and heck, even VS6). Its biggest problem, from my point of view, is the total and complete lack of the Help Index feature: you know...the thing where you just go and type in what you're looking for and it filters down the list of results automatically. For me this was the number one productivity feature in the "old" help system, allowing me to find stuff very quickly. Number two is that it's entirely web based and runs, by default, in the browser. So imagine, when you press F1, a new tab opens in your default browser pointing to the help entry. While this is wrong in many ways, it's also extremely annoying, cleaning up tabs in the browser becomes a chore which represents a serious productivity hit. These and many other problems were discussed extensively (and rather vocally) on connect but it seems MS seemed to ignore it and opt to release the new help system anyway, with the promise that more features will be added in a later release. Again, it kind of amazes me that they chose to ship a product with LESS features that the previous one and, what's worse, missing KEY features, just so it's "standards based" and "extensible". To be honest, I couldn't care less about the help system's implementation, I just want it to be usable and I would've thought that by now the software community and especially MS would've learned this lesson. In the end, what kind of saddens me is that MS regards these basic features as ones for the "power help user". I mean, come on! I mean a) it's not like my aunt's using Visual Studio 2010 and she represents the regular user, b) all software developers are, by definition, power users and c) it's a freakin help, not rocket science! As you can tell, I'm pretty pissed. Even more so because I really feel that the VS2010 & co. release really is a great one, with a lot of effort going into the various platforms and frameworks, most (if not all) of them being really REALLY good products. And then they go and screw up the help! How lame is that?!   Anyway, it's not all gloom-and-doom. Luckily there is a desktop app which presents a UI over the new help system that's very close to what was there in VS2008, by Robert Chandler (to which I hereby declare eternal gratitude). It still has some minor issues but I'll take it over the browser version of the help any day. It's free, pretty quick (on my machine ;)) and nicely usable. So, if you hate the new help system (passionately) like I do, download H3Viewer now.

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  • Clever memory usage through the years

    - by Ben Emmett
    A friend and I were recently talking about the really clever tricks people have used to get the most out of memory. I thought I’d share my favorites, and would love to hear yours too! Interleaving on drum memory Back in the ye olde days before I’d been born (we’re talking the 50s / 60s here), working memory commonly took the form of rotating magnetic drums. These would spin at a constant speed, and a fixed head would read from memory when the correct part of the drum passed it by, a bit like a primitive platter disk. Because each revolution took a few milliseconds, programmers took to manually arranging information non-sequentially on the drum, timing when an instruction or memory address would need to be accessed, then spacing information accordingly around the edge of the drum, thus reducing the access delay. Similar techniques were still used on hard disks and floppy disks into the 90s, but have become irrelevant with modern disk technologies. The Hashlife algorithm Conway’s Game of Life has attracted numerous implementations over the years, but Bill Gosper’s Hashlife algorithm is particularly impressive. Taking advantage of the repetitive nature of many cellular automata, it uses a quadtree structure to store the hashes of pieces of the overall grid. Over time there are fewer and fewer new structures which need to be evaluated, so it starts to run faster with larger grids, drastically outperforming other algorithms both in terms of speed and the size of grid which can be simulated. The actual amount of memory used is huge, but it’s used in a clever way, so makes the list . Elite’s procedural generation Ok, so this isn’t exactly a memory optimization – more a storage optimization – but it gets an honorable mention anyway. When writing Elite, David Braben and Ian Bell wanted to build a rich world which gamers could explore, but their 22K memory was something of a limitation (for comparison that’s about the size of my avatar picture at the top of this page). They procedurally generated all the characteristics of the 2048 planets in their virtual universe, including the names, which were stitched together using a lookup table of parts of names. In fact the original plans were for 2^52 planets, but it was decided that that was probably too many. Oh, and they did that all in assembly language. Other games of the time used similar techniques too – The Sentinel’s landscape generation algorithm being another example. Modern Garbage Collectors Garbage collection in managed languages like Java and .NET ensures that most of the time, developers stop needing to care about how they use and clean up memory as the garbage collector handles it automatically. Achieving this without killing performance is a near-miraculous feet of software engineering. Much like when learning chemistry, you find that every time you think you understand how the garbage collector works, it turns out to be a mere simplification; that there are yet more complexities and heuristics to help it run efficiently. Of course introducing memory problems is still possible (and there are tools like our memory profiler to help if that happens to you) but they’re much, much rarer. A cautionary note In the examples above, there were good and well understood reasons for the optimizations, but cunningly optimized code has usually had to trade away readability and maintainability to achieve its gains. Trying to optimize memory usage without being pretty confident that there’s actually a problem is doing it wrong. So what have I missed? Tell me about the ingenious (or stupid) tricks you’ve seen people use. Ben

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