Search Results

Search found 75615 results on 3025 pages for 'www data'.

Page 440/3025 | < Previous Page | 436 437 438 439 440 441 442 443 444 445 446 447  | Next Page >

• Showing a loading spinner only if the data has not been cached.

  - by Aaron Mc Adam

  Hi guys, Currently, my code shows a loading spinner gif, returns the data and caches it. However, once the data has been cached, there is a flicker of the loading gif for a split second before the data gets loaded in. It's distracting and I'd like to get rid of it. I think I'm using the wrong method in the beforeSend function here: $.ajax({ type : "GET", cache : false, url : "book_data.php", data : { keywords : keywords, page : page }, beforeSend : function() { $('.jPag-pages li:not(.cached)').each(function (i) { $('#searchResults').html('<p id="loader">Loading...<img src="../assets/images/ajax-loader.gif" alt="Loading..." /></p>'); }); }, success : function(data) { $('.jPag-current').parent().addClass('cached'); $('#searchResults').replaceWith($(data).find('#searchResults')).find('table.sortable tbody tr:odd').addClass('odd'); detailPage(); selectForm(); } });

  Read the article

• Is there a way to only backup a SQL 2005 database structure fully, but only the data in a certain se

  - by TheSoftwareJedi

  I have several schemas in my database, and the largest one ("large" meaning disk space consumed) is my "web" schema which is a denormalized copy of data in the operational schemas. This denormalized data is able to be reconstructed at anytime, and is merely there for extremely fast read purposes. Since the data is redundant, and VERY large - I'd like to exclude it from being backed up. I already have stored procedures that can regenerate all of the data in that schema in a couple of hours - for use in the event of a failure. I assume I can split the tables in this schema out to another data file or such (ideally even on another drive for faster reads), but is there a way to never have that data file backup, yet still in the event of a failure its structure could be restored (and other DDL stuff like procs, views, etc)? Somewhat related, can I also have these tables not do transaction logging, if I go to "Full" backup mode for the rest of the database?

  Read the article

• Assigning a variable of a struct that contains an instance of a class to another variable

  - by xport

  In my understanding, assigning a variable of a struct to another variable of the same type will make a copy. But this rule seems broken as shown on the following figure. Could you explain why this happened? using System; namespace ReferenceInValue { class Inner { public int data; public Inner(int data) { this.data = data; } } struct Outer { public Inner inner; public Outer(int data) { this.inner = new Inner(data); } } class Program { static void Main(string[] args) { Outer p1 = new Outer(1); Outer p2 = p1; Console.WriteLine("p1:{0}, p2:{1}", p1.inner.data, p2.inner.data); p1.inner.data = 2; Console.WriteLine("p1:{0}, p2:{1}", p1.inner.data, p2.inner.data); p2.inner.data = 3; Console.WriteLine("p1:{0}, p2:{1}", p1.inner.data, p2.inner.data); Console.ReadKey(); } } }

  Read the article

• How do I write raw binary data in Python?

  - by Chris B.

  I've got a Python program that stores and writes data to a file. The data is raw binary data, stored internally as str. I'm writing it out through a utf-8 codec. However, I get UnicodeDecodeError: 'charmap' codec can't decode byte 0x8d in position 25: character maps to <undefined> in the cp1252.py file. This looks to me like Python is trying to interpret the data using the default code page. But it doesn't have a default code page. That's why I'm using str, not unicode. I guess my questions are: How do I represent raw binary data in memory, in Python? When I'm writing raw binary data out through a codec, how do I encode/unencode it?

  Read the article

• What are the repercussions of not checking existing data when adding a foreign key?

  - by scottm

  I've inherited a database that doesn't exactly strive for data integrity. I am trying to add some foreign keys to change that, but there is data in some tables that doesn't fit the constraints. Most likely, the data won't be used again so I want to know what problems I might face by leaving it there. The other option I see is to move it into some kind of table without referential constraints, just for historical purposes. So, what are the repercussions of not checking existing data? If I create a foreign key constraint on a table and don't check existing data, will all new data inserted into the table be enforced?

  Read the article

• Want to save data field from form into two columns of two models.

  - by vette982

  I have a Profile model with a hasOne relationship to a Detail model. I have a registration form that saves data into both model's tables, but I want the username field from the profile model to be copied over to the usernamefield in the details model so that each has the same username. function new_account() { if(!empty($this->data)) { $this->Profile->modified = date("Y-m-d H:i:s"); if($this->Profile->save($this->data)) { $this->data['Detail']['profile_id'] = $this->Profile->id; $this->data['Detail']['username'] = $this->Profile->username; $this->Profile->Detail->save($this->data); $this->Session->setFlash('Your registration was successful.'); $this->redirect(array('action'=>'index')); } } } This code in my Profile controller gives me the error: Undefined property: Profile::$username Any ideas?

  Read the article

• How the existing data to be if entity structure modified or deleted on GAE?

  - by Eonil

  GAE recommends using JDO/JPA. But I have serious question about using OODB like them. JDO based on user's class structure. And data structure should be modified continually as service advances. So, If data(entity) class property being removed, what happened to existing data on the property? If data(entity) class renamed for refactoring reason, how the JDO know those renaming? Or all data loss? Major point is "How JDO/GAE/BigTable applies modification of class into existing entity structure and data?".

  Read the article

• What's the most simple way to retrieve all data from a table and save it back in .NET 3.5?

  - by zoman

  I have a number of tables containing some basic (business related) mapping data. What's the most simple way to load the data from those tables, then save the modified values back. (all data should be replaced in the tables) An ORM is out of question as I would like to avoid creating domain objects for each table. The actual editing of the data is not an issue. (it is exported into Excel where the data is edited, then the file is uploaded with the modified data) The technology is .NET 3.5 (ASP.NET MVC) and SQL Server 2005. Thanks.

  Read the article

• Offsite data storage for simple app, or a similar supported persistence mechanism?

  - by jdk

  Question Is there a usable facebook entry point to the Data Storage API that facebook lists on their app admin page for developers, or should I consider an alternate mechanism? What alternative mechanisms exist to simply persist my information offsite (away from my server app) without stuffing it into a cookie that's prone to expire? ... Background The facebook Data Store Admin tool is made available in a facebook App's Settings as seen here: (continue reading below) However when I visit the DataStoreAdmin link nothing works (i.e. clicking the buttons to define the data store types and objects does nothing - I have tried different browsers). The Wiki page for Data Store API hasn't been updated recently and the second last update says the beta Data Store was taken offline. It seems odd the link would be readily available and highly visible at the top of the App configuration area if indeed it's defunct. I was hoping some kind of key/value pair solution to remove the data calls from my own server.

  Read the article

• RabbitMQ as a proxy between a data store and a producer ?

  - by hyperboreean

  I have some code that produces lots of data that should be stored in the database. The problem is that the database can't keep with the data that it gets produced. So I am wondering whether some kind of queuing mechanism would help in this situation - I am thinking in particular at RabiitMQ and whether is feasible to have the data stored in its queues until some consumer gets the data out of it and pushes it to the database. Also, I am not particular interested whether that data made it to the database or not because pretty soon, the same data will be updated.

  Read the article

• best way to store php data on a page for use with javascript/jquery?

  - by Haroldo

  Ok, so im trying to work out the fastest way of storing data on my page without slowing the page load: I need to store information in the page to be later used by jquery. My page is an events page and i want to attach data to each event anchor. there are 100+ events to attach data to. The events anchors are created with a php loop, so i could create the data elements within this loop using either use un-semantic tags ie *rel="some_data"* create a jquery.data() for each iteration of the loop or i could run the loop again, separately, this time inside script tags with jquery.data(); would really appreciate any thoughts on this!

  Read the article

• How to convert searchTwitter results (from library(twitteR)) into a data.frame?

  - by analyticsPierce

  I am working on saving twitter search results into a database (SQL Server) and am getting an error when I pull the search results from twitteR. If I execute: library(twitteR) puppy <- as.data.frame(searchTwitter("puppy", session=getCurlHandle(),num=100)) I get an error of: Error in as.data.frame.default(x[[i]], optional = TRUE) : cannot coerce class structure("status", package = "twitteR") into a data.frame This is important because in order to use RODBC to add this to a table using sqlSave it needs to be a data.frame. At least that's the error message I got: Error in sqlSave(localSQLServer, puppy, tablename = "puppy_staging", : should be a data frame So does anyone have any suggestions on how to coerce the list to a data.frame or how I can load the list through RODBC?

  Read the article

• Oracle OpenWorld 2013 – Wrap up by Sven Bernhardt

  - by JuergenKress

  OOW 2013 is over and we’re heading home, so it is time to lean back and reflecting about the impressions we have from the conference. First of all: OOW was great! It was a pleasure to be a part of it. As already mentioned in our last blog article: It was the biggest OOW ever. Parallel to the conference the America’s Cup took place in San Francisco and the Oracle Team America won. Amazing job by the team and again congratulations from our side Back to the conference. The main topics for us are: Oracle SOA / BPM Suite 12c Adaptive Case management (ACM) Big Data Fast Data Cloud Mobile Below we will go a little more into detail, what are the key takeaways regarding the mentioned points: Oracle SOA / BPM Suite 12c During the five days at OOW, first details of the upcoming major release of Oracle SOA Suite 12c and Oracle BPM Suite 12c have been introduced. Some new key features are: Managed File Transfer (MFT) for transferring big files from a source to a target location Enhanced REST support by introducing a new REST binding Introduction of a generic cloud adapter, which can be used to connect to different cloud providers, like Salesforce Enhanced analytics with BAM, which has been totally reengineered (BAM Console now also runs in Firefox!) Introduction of templates (OSB pipelines, component templates, BPEL activities templates) EM as a single monitoring console OSB design-time integration into JDeveloper (Really great!) Enterprise modeling capabilities in BPM Composer These are only a few points from what is coming with 12c. We are really looking forward for the new realese to come out, because this seems to be really great stuff. The suite becomes more and more integrated. From 10g to 11g it was an evolution in terms of developing SOA-based applications. With 12c, Oracle continues it’s way – very impressive. Adaptive Case Management Another fantastic topic was Adaptive Case Management (ACM). The Oracle PMs did a great job especially at the demo grounds in showing the upcoming Case Management UI (will be available in 11g with the next BPM Suite MLR Patch), the roadmap and the differences between traditional business process modeling. They have been very busy during the conference because a lot of partners and customers have been interested Big Data Big Data is one of the current hype themes. Because of huge data amounts from different internal or external sources, the handling of these data becomes more and more challenging. Companies have a need for analyzing the data to optimize their business. The challenge is here: the amount of data is growing daily! To store and analyze the data efficiently, it is necessary to have a scalable and flexible infrastructure. Here it is important that hardware and software are engineered to work together. Therefore several new features of the Oracle Database 12c, like the new in-memory option, have been presented by Larry Ellison himself. From a hardware side new server machines like Fujitsu M10 or new processors, such as Oracle’s new M6-32 have been announced. The performance improvements, when using one of these hardware components in connection with the improved software solutions were really impressive. For more details about this, please take look at our previous blog post. Regarding Big Data, Oracle also introduced their Big Data architecture, which consists of: Oracle Big Data Appliance that is preconfigured with Hadoop Oracle Exdata which stores a huge amount of data efficently, to achieve optimal query performance Oracle Exalytics as a fast and scalable Business analytics system Analysis of the stored data can be performed using SQL, by streaming the data directly from Hadoop to an Oracle Database 12c. Alternatively the analysis can be directly implemented in Hadoop using “R”. In addition Oracle BI Tools can be used to analyze the data. Fast Data Fast Data is a complementary approach to Big Data. A huge amount of mostly unstructured data comes in via different channels with a high frequency. The analysis of these data streams is also important for companies, because the incoming data has to be analyzed regarding business-relevant patterns in real-time. Therefore these patterns must be identified efficiently and performant. To do so, in-memory grid solutions in combination with Oracle Coherence and Oracle Event Processing demonstrated very impressive how efficient real-time data processing can be. One example for Fast Data solutions that was shown during the OOW was the analysis of twitter streams regarding customer satisfaction. The feeds with negative words like “bad” or “worse” have been filtered and after a defined treshold has been reached in a certain timeframe, a business event was triggered. Cloud Another key trend in the IT market is of course Cloud Computing and what it means for companies and their businesses. Oracle announced their Cloud strategy and vision – companies can focus on their real business while all of the applications are available via Cloud. This also includes Oracle Database or Oracle Weblogic, so that companies can also build, deploy and run their own applications within the cloud. Three different approaches have been introduced: Infrastructure as a Service (IaaS) Platform as a Service (PaaS) Software as a Service (SaaS) Using the IaaS approach only the infrastructure components will be managed in the Cloud. Customers will be very flexible regarding memory, storage or number of CPUs because those parameters can be adjusted elastically. The PaaS approach means that besides the infrastructure also the platforms (such as databases or application servers) necessary for running applications will be provided within the Cloud. Here customers can also decide, if installation and management of these infrastructure components should be done by Oracle. The SaaS approach describes the most complete one, hence all applications a company uses are managed in the Cloud. Oracle is planning to provide all of their applications, like ERP systems or HR applications, as Cloud services. In conclusion this seems to be a very forward-thinking strategy, which opens up new possibilities for customers to manage their infrastructure and applications in a flexible, scalable and future-oriented manner. As you can see, our OOW days have been very very interresting. We collected many helpful informations for our projects. The new innovations presented at the confernce are great and being part of this was even greater! We are looking forward to next years’ conference! Links: http://www.oracle.com/openworld/index.html http://thecattlecrew.wordpress.com/2013/09/23/first-impressions-from-oracle-open-world-2013 SOA & BPM Partner Community For regular information on Oracle SOA Suite become a member in the SOA & BPM Partner Community for registration please visit www.oracle.com/goto/emea/soa (OPN account required) If you need support with your account please contact the Oracle Partner Business Center. Blog Twitter LinkedIn Facebook Wiki Mix Forum Technorati Tags: cattleCrew,Sven Bernhard,OOW2013,SOA Community,Oracle SOA,Oracle BPM,Community,OPN,Jürgen Kress

  Read the article

• External File Upload Optimizations for Windows Azure

  - by rgillen

  [Cross posted from here: http://rob.gillenfamily.net/post/External-File-Upload-Optimizations-for-Windows-Azure.aspx] I’m wrapping up a bit of the work we’ve been doing on data movement optimizations for cloud computing and the latest set of data yielded some interesting points I thought I’d share. The work done here is not really rocket science but may, in some ways, be slightly counter-intuitive and therefore seemed worthy of posting. Summary: for those who don’t like to read detailed posts or don’t have time, the synopsis is that if you are uploading data to Azure, block your data (even down to 1MB) and upload in parallel. Set your block size based on your source file size, but if you must choose a fixed value, use 1MB. Following the above will result in significant performance gains… upwards of 10x-24x and a reduction in overall file transfer time of upwards of 90% (eg, uploading a 1GB file averaged 46.37 minutes prior to optimizations and averaged 1.86 minutes afterwards). Detail: For those of you who want more detail, or think that the claims at the end of the preceding paragraph are over-reaching, what follows is information and code supporting these claims. As the title would indicate, these tests were run from our research facility pointing to the Azure cloud (specifically US North Central as it is physically closest to us) and do not represent intra-cloud results… we have performed intra-cloud tests and the overall results are similar in notion but the data rates are significantly different as well as the tipping points for the various block sizes… this will be detailed separately). We started by building a very simple console application that would loop through a directory and upload each file to Azure storage. This application used the shipping storage client library from the 1.1 version of the azure tools. The only real variation from the client library is that we added code to collect and record the duration (in ms) and size (in bytes) for each file transferred. The code is available here. We then created a directory that had a collection of files for the following sizes: 2KB, 32KB, 64KB, 128KB, 512KB, 1MB, 5MB, 10MB, 25MB, 50MB, 100MB, 250MB, 500MB, 750MB, and 1GB (50 files for each size listed). These files contained randomly-generated binary data and do not benefit from compression (a separate discussion topic). Our file generation tool is available here. The baseline was established by running the application described above against the directory containing all of the data files. This application uploads the files in a random order so as to avoid transferring all of the files of a given size sequentially and thereby spreading the affects of periodic Internet delays across the collection of results.  We then ran some scripts to split the resulting data and generate some reports. The raw data collected for our non-optimized tests is available via the links in the Related Resources section at the bottom of this post. For each file size, we calculated the average upload time (and standard deviation) and the average transfer rate (and standard deviation). As you likely are aware, transferring data across the Internet is susceptible to many transient delays which can cause anomalies in the resulting data. It is for this reason that we randomized the order of source file processing as well as executed the tests 50x for each file size. We expect that these steps will yield a sufficiently balanced set of results. Once the baseline was collected and analyzed, we updated the test harness application with some methods to split the source file into user-defined block sizes and then to upload those blocks in parallel (using the PutBlock() method of Azure storage). The parallelization was handled by simply relying on the Parallel Extensions to .NET to provide a Parallel.For loop (see linked source for specific implementation details in Program.cs, line 173 and following… less than 100 lines total). Once all of the blocks were uploaded, we called PutBlockList() to assemble/commit the file in Azure storage. For each block transferred, the MD5 was calculated and sent ensuring that the bits that arrived matched was was intended. The timer for the blocked/parallelized transfer method wraps the entire process (source file splitting, block transfer, MD5 validation, file committal). A diagram of the process is as follows: We then tested the affects of blocking & parallelizing the transfers by running the updated application against the same source set and did a parameter sweep on the block size including 256KB, 512KB, 1MB, 2MB, and 4MB (our assumption was that anything lower than 256KB wasn’t worth the trouble and 4MB is the maximum size of a block supported by Azure). The raw data for the parallel tests is available via the links in the Related Resources section at the bottom of this post. This data was processed and then compared against the single-threaded / non-optimized transfer numbers and the results were encouraging. The Excel version of the results is available here. Two semi-obvious points need to be made prior to reviewing the data. The first is that if the block size is larger than the source file size you will end up with a “negative optimization” due to the overhead of attempting to block and parallelize. The second is that as the files get smaller, the clock-time cost of blocking and parallelizing (overhead) is more apparent and can tend towards negative optimizations. For this reason (and is supported in the raw data provided in the linked worksheet) the charts and dialog below ignore source file sizes less than 1MB. (click chart for full size image) The chart above illustrates some interesting points about the results: When the block size is smaller than the source file, performance increases but as the block size approaches and then passes the source file size, you see decreasing benefit to the point of negative gains (see the values for the 1MB file size) For some of the moderately-sized source files, small blocks (256KB) are best As the size of the source file gets larger (see values for 50MB and up), the smallest block size is not the most efficient (presumably due, at least in part, to the increased number of blocks, increased number of individual transfer requests, and reassembly/committal costs). Once you pass the 250MB source file size, the difference in rate for 1MB to 4MB blocks is more-or-less constant The 1MB block size gives the best average improvement (~16x) but the optimal approach would be to vary the block size based on the size of the source file.    (click chart for full size image) The above is another view of the same data as the prior chart just with the axis changed (x-axis represents file size and plotted data shows improvement by block size). It again highlights the fact that the 1MB block size is probably the best overall size but highlights the benefits of some of the other block sizes at different source file sizes. This last chart shows the change in total duration of the file uploads based on different block sizes for the source file sizes. Nothing really new here other than this view of the data highlights the negative affects of poorly choosing a block size for smaller files.   Summary What we have found so far is that blocking your file uploads and uploading them in parallel results in significant performance improvements. Further, utilizing extension methods and the Task Parallel Library (.NET 4.0) make short work of altering the shipping client library to provide this functionality while minimizing the amount of change to existing applications that might be using the client library for other interactions.   Related Resources Source code for upload test application Source code for random file generator ODatas feed of raw data from non-optimized transfer tests Experiment Metadata Experiment Datasets 2KB Uploads 32KB Uploads 64KB Uploads 128KB Uploads 256KB Uploads 512KB Uploads 1MB Uploads 5MB Uploads 10MB Uploads 25MB Uploads 50MB Uploads 100MB Uploads 250MB Uploads 500MB Uploads 750MB Uploads 1GB Uploads Raw Data OData feeds of raw data from blocked/parallelized transfer tests Experiment Metadata Experiment Datasets Raw Data 256KB Blocks 512KB Blocks 1MB Blocks 2MB Blocks 4MB Blocks Excel worksheet showing summarizations and comparisons

  Read the article

• Apache2 return 404 for proxy requests before reaching WSGI

  - by Alejandro Mezcua

  I have a Django app running under Apache2 and mod_wsgi and, unfortunately, lots of requests trying to use the server as a proxy. The server is responding OK with 404 errors but the errors are generated by the Django (WSGI) app, which causes a high CPU usage. If I turn off the app and let Apache handle the response directly (send a 404), the CPU usage drops to almost 0 (mod_proxy is not enabled). Is there a way to configure Apache to respond directly to this kind of requests with an error before the request hits the WSGI app? I have seen that maybe mod_security would be an option, but I'd like to know if I can do it without it. EDIT. I'll explain it a bit more. In the logs I have lots of connections trying to use the server as a web proxy (e.g. connections like GET http://zzz.zzz/ HTTP/1.1 where zzz.zzz is an external domain, not mine). This requests are passed on to mod_wsgi which then return a 404 (as per my Django app). If I disable the app, as mod_proxy is disabled, Apache returns the error directly. What I'd finally like to do is prevent Apache from passing the request to the WSGI for invalid domains, that is, if the request is a proxy request, directly return the error and not execute the WSGI app. EDIT2. Here is the apache2 config, using VirtualHosts files in sites-enabled (i have removed email addresses and changed IPs to xxx, change the server alias to sample.sample.xxx). What I'd like is for Apache to reject any request that doesn't go to sample.sample.xxx with and error, that is, accept only relative requests to the server or fully qualified only to the actual ServerAlias. default: <VirtualHost *:80> ServerAdmin [email protected] ServerName X.X.X.X ServerAlias X.X.X.X DocumentRoot /var/www/default <Directory /> Options FollowSymLinks AllowOverride None </Directory> <Directory /var/www/> Options FollowSymLinks AllowOverride None Order allow,deny allow from all </Directory> ErrorDocument 404 "404" ErrorDocument 403 "403" ErrorDocument 500 "500" ErrorLog ${APACHE_LOG_DIR}/error.log LogLevel warn CustomLog ${APACHE_LOG_DIR}/access.log combined </VirtualHost> actual host: <VirtualHost *:80> ErrorDocument 404 "404" ErrorDocument 403 "403" ErrorDocument 500 "500" WSGIScriptAlias / /var/www/sample.sample.xxx/django.wsgi ServerAdmin [email protected] ServerAlias sample.sample.xxx ServerName sample.sample.xxx CustomLog /var/www/sample.sample.xxx/log/sample.sample.xxx-access.log combined Alias /robots.txt /var/www/sample.sample.xxx/static/robots.txt Alias /favicon.ico /var/www/sample.sample.xxx/static/favicon.ico AliasMatch ^/([^/]*\.css) /var/www/sample.sample.xxx/static/$1 Alias /static/ /var/www/sample.sample.xxx/static/ Alias /media/ /var/www/sample.sample.xxx/media/ <Directory /var/www/sample.sample.xxx/static/> Order deny,allow Allow from all </Directory> <Directory /var/www/sample.sample.xxx/media/> Order deny,allow Allow from all </Directory> </VirtualHost>

  Read the article

• phpMyAdmin causes php-fpm worker to restart (502 Bad Gateway)

  - by rndbit

  I am trying to set up a test site for myself. Everything works fine except phpMyAdmin. php installation loads my test site scripts, they work fine, however trying to load phpMyAdmin i get 502 Bad Gateway error. Judging from logs (that are not too helpful) it seems that php-fpm worker is crashing each time phpmyadmin is being accessed. No clue how or why.. Does anyone have any idea? nginx log: *3 recv() failed (104: Connection reset by peer) while reading response header from upstream, And php-fpm log: [07-Jun-2012 14:19:51] WARNING: [pool www] child 32179 exited on signal 11 (SIGSEGV) after 3.217902 seconds from start [07-Jun-2012 14:19:51] NOTICE: [pool www] child 32351 started My nginx conf: user nginx; worker_processes 1; error_log /var/log/nginx/error.log; pid /var/run/nginx.pid; events { worker_connections 1024; } http { include /etc/nginx/mime.types; default_type application/octet-stream; log_format main '$remote_addr - $remote_user [$time_local] "$request" ' '$status $body_bytes_sent "$http_referer" ' '"$http_user_agent" "$http_x_forwarded_for"'; access_log /var/log/nginx/access.log main; sendfile on; keepalive_timeout 65; fastcgi_buffers 8 16k; fastcgi_buffer_size 32k; include /etc/nginx/conf.d/*.conf; server { listen 443 ssl; listen 80; server_name testsite.net www.testsite.net; ssl on; ssl_certificate /var/www/html/admin/ssl/certificate.pem; ssl_certificate_key /var/www/html/admin/ssl/privatekey.pem; ssl_session_timeout 1m; ssl_protocols SSLv2 SSLv3 TLSv1; ssl_ciphers HIGH:!aNULL:!MD5:!kEDH; ssl_prefer_server_ciphers on; access_log off; location ~ \.php$ { root /var/www/html; fastcgi_pass 127.0.0.1:9000; fastcgi_index index.php; fastcgi_param SCRIPT_FILENAME $document_root$fastcgi_script_name; include /etc/nginx/fastcgi_params; } location / { root /var/www/html; index index.php; } } } php.ini is standard, with cgi.fix_pathinfo=0 php-fpm.conf: include=/etc/php-fpm.d/*.conf [global] pid = /var/run/php-fpm/php-fpm.pid error_log = /var/log/php-fpm/error.log log_level = notice php-fpm.d/www.conf: [www] listen = 127.0.0.1:9000 listen.allowed_clients = 127.0.0.1 user = nginx group = nginx pm = dynamic pm.max_children = 10 pm.start_servers = 1 pm.min_spare_servers = 1 pm.max_spare_servers = 10 slowlog = /var/log/php-fpm/www-slow.log php_flag[display_errors] = on php_admin_value[error_log] = /var/log/php-fpm/www-error.log php_admin_flag[log_errors] = on

  Read the article

• Nginx Reverse Proxy Node.js and Wordpress + Static Files Issue

  - by joemccann

  I have had quite a time trying to get nginx to serve static assets from my wordpress blog. Have a look at the config and let me know if you can help. ( https://gist.github.com/1130332 - to see the entire thing) server { listen 80; server_name subprint.com; access_log /var/www/subprint/logs/access.log; error_log /var/www/subprint/logs/error.log; root /var/www/subprint/server/public; # express serves static resources for subprint.com out of here location / { proxy_pass http://127.0.0.1:8124; root /var/www/subprint/server; access_log on; } #serve static assets location ~* ^(?!\/).+\.(jpg|jpeg|gif|png|ico|css|zip|tgz|gz|rar|bz2|pdf|txt|tar|wav|bmp|rtf|js|flv|swf|html|htm)$ { expires max; access_log off; } # the route for the wordpress blog # unfortunately the static assets (css, img, etc.) are not being pathed/served properly location /blog { root /var/www/localhost/public; index index.php; access_log /var/www/localhost/logs/access.log; error_log /var/www/localhost/logs/error.log; if (!-e $request_filename) { rewrite ^/(.*)$ /index.php?q=$1 last; break; } if (!-f $request_filename) { rewrite /blog$ /blog/index.php last; break; } } # actually serves the wordpress and subsequently phpmyadmin location ~* (?!\/blog).+\.php$ { fastcgi_pass localhost:9000; fastcgi_index index.php; fastcgi_param SCRIPT_FILENAME /var/www/localhost/public$fastcgi_script_name; fastcgi_param PATH_INFO $fastcgi_script_name; include /usr/local/nginx/conf/fastcgi_params; } # This works fine, but ONLY with a symlink inside the /var/www/localhost/public directory pointing to /usr/share/phpmyadmin location /phpmyadmin { index index.php; access_log /var/www/phpmyadmin/logs/access.log; error_log /var/www/phpmyadmin/logs/error.log; alias /usr/share/phpmyadmin/; if (!-f $request_filename) { rewrite /phpmyadmin$ /phpmyadmin/index.php permanent; break; } } # opt-in to the future add_header "X-UA-Compatible" "IE=Edge,chrome=1"; }

  Read the article

• E: Sub-process /usr/bin/dpkg returned an error code (1) seems to be choking on kde-runtime-data version issue

  - by BMT

  12.04 LTS, on a dell mini 10. Install stable until about a week ago. Updated about 1x a week, sometimes more often. Several days ago, I booted up and the system was no longer working correctly. All these symptoms occurred simultaneously: Cannot run (exit on opening, every time): Update manager, software center, ubuntuOne, libreOffice. Vinagre autostarts on boot, no explanation, not set to startup with Ubuntu. Using apt-get to fix install results in the following: maura@pandora:~$ sudo apt-get -f install Reading package lists... Done Building dependency tree Reading state information... Done Correcting dependencies... Done The following package was automatically installed and is no longer required: libtelepathy-farstream2 Use 'apt-get autoremove' to remove them. The following extra packages will be installed: gwibber gwibber-service kde-runtime-data software-center Suggested packages: gwibber-service-flickr gwibber-service-digg gwibber-service-statusnet gwibber-service-foursquare gwibber-service-friendfeed gwibber-service-pingfm gwibber-service-qaiku unity-lens-gwibber The following packages will be upgraded: gwibber gwibber-service kde-runtime-data software-center 4 upgraded, 0 newly installed, 0 to remove and 39 not upgraded. 20 not fully installed or removed. Need to get 0 B/5,682 kB of archives. After this operation, 177 kB of additional disk space will be used. Do you want to continue [Y/n]? debconf: Perl may be unconfigured (Can't locate Scalar/Util.pm in @INC (@INC contains: /etc/perl /usr/local/lib/perl/5.14.2 /usr/local/share/perl/5.14.2 /usr/lib/perl5 /usr/share/perl5 /usr/lib/perl/5.14 /usr/share/perl/5.14 /usr/local/lib/site_perl .) at /usr/lib/perl/5.14/Hash/Util.pm line 9. BEGIN failed--compilation aborted at /usr/lib/perl/5.14/Hash/Util.pm line 9. Compilation failed in require at /usr/share/perl/5.14/fields.pm line 122. Compilation failed in require at /usr/share/perl5/Debconf/Log.pm line 10. Compilation failed in require at (eval 1) line 4. BEGIN failed--compilation aborted at (eval 1) line 4. ) -- aborting (Reading database ... 242672 files and directories currently installed.) Preparing to replace gwibber 3.4.1-0ubuntu1 (using .../gwibber_3.4.2-0ubuntu1_i386.deb) ... Could not find platform dependent libraries <exec_prefix> Consider setting $PYTHONHOME to <prefix>[:<exec_prefix>] Traceback (most recent call last): File "/usr/bin/pyclean", line 25, in <module> import logging ImportError: No module named logging Error in sys.excepthook: Traceback (most recent call last): File "/usr/lib/python2.7/dist-packages/apport_python_hook.py", line 64, in apport_excepthook from apport.fileutils import likely_packaged, get_recent_crashes File "/usr/lib/python2.7/dist-packages/apport/__init__.py", line 1, in <module> from apport.report import Report File "/usr/lib/python2.7/dist-packages/apport/report.py", line 16, in <module> from xml.parsers.expat import ExpatError File "/usr/lib/python2.7/xml/parsers/expat.py", line 4, in <module> from pyexpat import * ImportError: No module named pyexpat Original exception was: Traceback (most recent call last): File "/usr/bin/pyclean", line 25, in <module> import logging ImportError: No module named logging dpkg: warning: subprocess old pre-removal script returned error exit status 1 dpkg - trying script from the new package instead ... Could not find platform dependent libraries <exec_prefix> Consider setting $PYTHONHOME to <prefix>[:<exec_prefix>] Traceback (most recent call last): File "/usr/bin/pyclean", line 25, in <module> import logging ImportError: No module named logging Error in sys.excepthook: Traceback (most recent call last): File "/usr/lib/python2.7/dist-packages/apport_python_hook.py", line 64, in apport_excepthook from apport.fileutils import likely_packaged, get_recent_crashes File "/usr/lib/python2.7/dist-packages/apport/__init__.py", line 1, in <module> from apport.report import Report File "/usr/lib/python2.7/dist-packages/apport/report.py", line 16, in <module> from xml.parsers.expat import ExpatError File "/usr/lib/python2.7/xml/parsers/expat.py", line 4, in <module> from pyexpat import * ImportError: No module named pyexpat Original exception was: Traceback (most recent call last): File "/usr/bin/pyclean", line 25, in <module> import logging ImportError: No module named logging dpkg: error processing /var/cache/apt/archives/gwibber_3.4.2-0ubuntu1_i386.deb (--unpack): subprocess new pre-removal script returned error exit status 1 Could not find platform dependent libraries <exec_prefix> Consider setting $PYTHONHOME to <prefix>[:<exec_prefix>] Traceback (most recent call last): File "/usr/bin/pycompile", line 27, in <module> import logging ImportError: No module named logging Error in sys.excepthook: Traceback (most recent call last): File "/usr/lib/python2.7/dist-packages/apport_python_hook.py", line 64, in apport_excepthook from apport.fileutils import likely_packaged, get_recent_crashes File "/usr/lib/python2.7/dist-packages/apport/__init__.py", line 1, in <module> from apport.report import Report File "/usr/lib/python2.7/dist-packages/apport/report.py", line 16, in <module> from xml.parsers.expat import ExpatError File "/usr/lib/python2.7/xml/parsers/expat.py", line 4, in <module> from pyexpat import * ImportError: No module named pyexpat Original exception was: Traceback (most recent call last): File "/usr/bin/pycompile", line 27, in <module> import logging ImportError: No module named logging dpkg: error while cleaning up: subprocess installed post-installation script returned error exit status 1 Preparing to replace gwibber-service 3.4.1-0ubuntu1 (using .../gwibber-service_3.4.2-0ubuntu1_all.deb) ... Could not find platform dependent libraries <exec_prefix> Consider setting $PYTHONHOME to <prefix>[:<exec_prefix>] Traceback (most recent call last): File "/usr/bin/pyclean", line 25, in <module> import logging ImportError: No module named logging Error in sys.excepthook: Traceback (most recent call last): File "/usr/lib/python2.7/dist-packages/apport_python_hook.py", line 64, in apport_excepthook from apport.fileutils import likely_packaged, get_recent_crashes File "/usr/lib/python2.7/dist-packages/apport/__init__.py", line 1, in <module> from apport.report import Report File "/usr/lib/python2.7/dist-packages/apport/report.py", line 16, in <module> from xml.parsers.expat import ExpatError File "/usr/lib/python2.7/xml/parsers/expat.py", line 4, in <module> from pyexpat import * ImportError: No module named pyexpat Original exception was: Traceback (most recent call last): File "/usr/bin/pyclean", line 25, in <module> import logging ImportError: No module named logging dpkg: warning: subprocess old pre-removal script returned error exit status 1 dpkg - trying script from the new package instead ... Could not find platform dependent libraries <exec_prefix> Consider setting $PYTHONHOME to <prefix>[:<exec_prefix>] Traceback (most recent call last): File "/usr/bin/pyclean", line 25, in <module> import logging ImportError: No module named logging Error in sys.excepthook: Traceback (most recent call last): File "/usr/lib/python2.7/dist-packages/apport_python_hook.py", line 64, in apport_excepthook from apport.fileutils import likely_packaged, get_recent_crashes File "/usr/lib/python2.7/dist-packages/apport/__init__.py", line 1, in <module> from apport.report import Report File "/usr/lib/python2.7/dist-packages/apport/report.py", line 16, in <module> from xml.parsers.expat import ExpatError File "/usr/lib/python2.7/xml/parsers/expat.py", line 4, in <module> from pyexpat import * ImportError: No module named pyexpat Original exception was: Traceback (most recent call last): File "/usr/bin/pyclean", line 25, in <module> import logging ImportError: No module named logging dpkg: error processing /var/cache/apt/archives/gwibber-service_3.4.2-0ubuntu1_all.deb (--unpack): subprocess new pre-removal script returned error exit status 1 Could not find platform dependent libraries <exec_prefix> Consider setting $PYTHONHOME to <prefix>[:<exec_prefix>] Traceback (most recent call last): File "/usr/bin/pycompile", line 27, in <module> import logging ImportError: No module named logging Error in sys.excepthook: Traceback (most recent call last): File "/usr/lib/python2.7/dist-packages/apport_python_hook.py", line 64, in apport_excepthook from apport.fileutils import likely_packaged, get_recent_crashes File "/usr/lib/python2.7/dist-packages/apport/__init__.py", line 1, in <module> from apport.report import Report File "/usr/lib/python2.7/dist-packages/apport/report.py", line 16, in <module> from xml.parsers.expat import ExpatError File "/usr/lib/python2.7/xml/parsers/expat.py", line 4, in <module> from pyexpat import * ImportError: No module named pyexpat Original exception was: Traceback (most recent call last): File "/usr/bin/pycompile", line 27, in <module> import logging ImportError: No module named logging dpkg: error while cleaning up: subprocess installed post-installation script returned error exit status 1 Preparing to replace kde-runtime-data 4:4.8.3-0ubuntu0.1 (using .../kde-runtime-data_4%3a4.8.4-0ubuntu0.1_all.deb) ... Unpacking replacement kde-runtime-data ... dpkg: error processing /var/cache/apt/archives/kde-runtime-data_4%3a4.8.4-0ubuntu0.1_all.deb (--unpack): trying to overwrite '/usr/share/sounds', which is also in package sound-theme-freedesktop 0.7.pristine-2 dpkg-deb (subprocess): subprocess data was killed by signal (Broken pipe) dpkg-deb: error: subprocess <decompress> returned error exit status 2 Preparing to replace python-crypto 2.4.1-1 (using .../python-crypto_2.4.1-1_i386.deb) ... Could not find platform dependent libraries <exec_prefix> Consider setting $PYTHONHOME to <prefix>[:<exec_prefix>] Traceback (most recent call last): File "/usr/bin/pyclean", line 25, in <module> import logging ImportError: No module named logging Error in sys.excepthook: Traceback (most recent call last): File "/usr/lib/python2.7/dist-packages/apport_python_hook.py", line 64, in apport_excepthook from apport.fileutils import likely_packaged, get_recent_crashes File "/usr/lib/python2.7/dist-packages/apport/__init__.py", line 1, in <module> from apport.report import Report File "/usr/lib/python2.7/dist-packages/apport/report.py", line 16, in <module> from xml.parsers.expat import ExpatError File "/usr/lib/python2.7/xml/parsers/expat.py", line 4, in <module> from pyexpat import * ImportError: No module named pyexpat Original exception was: Traceback (most recent call last): File "/usr/bin/pyclean", line 25, in <module> import logging ImportError: No module named logging dpkg: warning: subprocess old pre-removal script returned error exit status 1 dpkg - trying script from the new package instead ... Could not find platform dependent libraries <exec_prefix> Consider setting $PYTHONHOME to <prefix>[:<exec_prefix>] Traceback (most recent call last): File "/usr/bin/pyclean", line 25, in <module> import logging ImportError: No module named logging Error in sys.excepthook: Traceback (most recent call last): File "/usr/lib/python2.7/dist-packages/apport_python_hook.py", line 64, in apport_excepthook from apport.fileutils import likely_packaged, get_recent_crashes File "/usr/lib/python2.7/dist-packages/apport/__init__.py", line 1, in <module> from apport.report import Report File "/usr/lib/python2.7/dist-packages/apport/report.py", line 16, in <module> from xml.parsers.expat import ExpatError File "/usr/lib/python2.7/xml/parsers/expat.py", line 4, in <module> from pyexpat import * ImportError: No module named pyexpat Original exception was: Traceback (most recent call last): File "/usr/bin/pyclean", line 25, in <module> import logging ImportError: No module named logging dpkg: error processing /var/cache/apt/archives/python-crypto_2.4.1-1_i386.deb (--unpack): subprocess new pre-removal script returned error exit status 1 No apport report written because MaxReports is reached already Could not find platform dependent libraries <exec_prefix> Consider setting $PYTHONHOME to <prefix>[:<exec_prefix>] Traceback (most recent call last): File "/usr/bin/pycompile", line 27, in <module> import logging ImportError: No module named logging Error in sys.excepthook: Traceback (most recent call last): File "/usr/lib/python2.7/dist-packages/apport_python_hook.py", line 64, in apport_excepthook from apport.fileutils import likely_packaged, get_recent_crashes File "/usr/lib/python2.7/dist-packages/apport/__init__.py", line 1, in <module> from apport.report import Report File "/usr/lib/python2.7/dist-packages/apport/report.py", line 16, in <module> from xml.parsers.expat import ExpatError File "/usr/lib/python2.7/xml/parsers/expat.py", line 4, in <module> from pyexpat import * ImportError: No module named pyexpat Original exception was: Traceback (most recent call last): File "/usr/bin/pycompile", line 27, in <module> import logging ImportError: No module named logging dpkg: error while cleaning up: subprocess installed post-installation script returned error exit status 1 Preparing to replace software-center 5.2.2.2 (using .../software-center_5.2.4_all.deb) ... Could not find platform dependent libraries <exec_prefix> Consider setting $PYTHONHOME to <prefix>[:<exec_prefix>] Traceback (most recent call last): File "/usr/bin/pyclean", line 25, in <module> import logging ImportError: No module named logging Error in sys.excepthook: Traceback (most recent call last): File "/usr/lib/python2.7/dist-packages/apport_python_hook.py", line 64, in apport_excepthook from apport.fileutils import likely_packaged, get_recent_crashes File "/usr/lib/python2.7/dist-packages/apport/__init__.py", line 1, in <module> from apport.report import Report File "/usr/lib/python2.7/dist-packages/apport/report.py", line 16, in <module> from xml.parsers.expat import ExpatError File "/usr/lib/python2.7/xml/parsers/expat.py", line 4, in <module> from pyexpat import * ImportError: No module named pyexpat Original exception was: Traceback (most recent call last): File "/usr/bin/pyclean", line 25, in <module> import logging ImportError: No module named logging dpkg: warning: subprocess old pre-removal script returned error exit status 1 dpkg - trying script from the new package instead ... Could not find platform dependent libraries <exec_prefix> Consider setting $PYTHONHOME to <prefix>[:<exec_prefix>] Traceback (most recent call last): File "/usr/bin/pyclean", line 25, in <module> import logging ImportError: No module named logging Error in sys.excepthook: Traceback (most recent call last): File "/usr/lib/python2.7/dist-packages/apport_python_hook.py", line 64, in apport_excepthook from apport.fileutils import likely_packaged, get_recent_crashes File "/usr/lib/python2.7/dist-packages/apport/__init__.py", line 1, in <module> from apport.report import Report File "/usr/lib/python2.7/dist-packages/apport/report.py", line 16, in <module> from xml.parsers.expat import ExpatError File "/usr/lib/python2.7/xml/parsers/expat.py", line 4, in <module> from pyexpat import * ImportError: No module named pyexpat Original exception was: Traceback (most recent call last): File "/usr/bin/pyclean", line 25, in <module> import logging ImportError: No module named logging dpkg: error processing /var/cache/apt/archives/software-center_5.2.4_all.deb (--unpack): subprocess new pre-removal script returned error exit status 1 No apport report written because MaxReports is reached already Could not find platform dependent libraries <exec_prefix> Consider setting $PYTHONHOME to <prefix>[:<exec_prefix>] Traceback (most recent call last): File "/usr/bin/pycompile", line 27, in <module> import logging ImportError: No module named logging Error in sys.excepthook: Traceback (most recent call last): File "/usr/lib/python2.7/dist-packages/apport_python_hook.py", line 64, in apport_excepthook from apport.fileutils import likely_packaged, get_recent_crashes File "/usr/lib/python2.7/dist-packages/apport/__init__.py", line 1, in <module> from apport.report import Report File "/usr/lib/python2.7/dist-packages/apport/report.py", line 16, in <module> from xml.parsers.expat import ExpatError File "/usr/lib/python2.7/xml/parsers/expat.py", line 4, in <module> from pyexpat import * ImportError: No module named pyexpat Original exception was: Traceback (most recent call last): File "/usr/bin/pycompile", line 27, in <module> import logging ImportError: No module named logging dpkg: error while cleaning up: subprocess installed post-installation script returned error exit status 1 Preparing to replace xdiagnose 2.5 (using .../archives/xdiagnose_2.5_all.deb) ... Could not find platform dependent libraries <exec_prefix> Consider setting $PYTHONHOME to <prefix>[:<exec_prefix>] Traceback (most recent call last): File "/usr/bin/pyclean", line 25, in <module> import logging ImportError: No module named logging Error in sys.excepthook: Traceback (most recent call last): File "/usr/lib/python2.7/dist-packages/apport_python_hook.py", line 64, in apport_excepthook from apport.fileutils import likely_packaged, get_recent_crashes File "/usr/lib/python2.7/dist-packages/apport/__init__.py", line 1, in <module> from apport.report import Report File "/usr/lib/python2.7/dist-packages/apport/report.py", line 16, in <module> from xml.parsers.expat import ExpatError File "/usr/lib/python2.7/xml/parsers/expat.py", line 4, in <module> from pyexpat import * ImportError: No module named pyexpat Original exception was: Traceback (most recent call last): File "/usr/bin/pyclean", line 25, in <module> import logging ImportError: No module named logging dpkg: warning: subprocess old pre-removal script returned error exit status 1 dpkg - trying script from the new package instead ... Could not find platform dependent libraries <exec_prefix> Consider setting $PYTHONHOME to <prefix>[:<exec_prefix>] Traceback (most recent call last): File "/usr/bin/pyclean", line 25, in <module> import logging ImportError: No module named logging Error in sys.excepthook: Traceback (most recent call last): File "/usr/lib/python2.7/dist-packages/apport_python_hook.py", line 64, in apport_excepthook from apport.fileutils import likely_packaged, get_recent_crashes File "/usr/lib/python2.7/dist-packages/apport/__init__.py", line 1, in <module> from apport.report import Report File "/usr/lib/python2.7/dist-packages/apport/report.py", line 16, in <module> from xml.parsers.expat import ExpatError File "/usr/lib/python2.7/xml/parsers/expat.py", line 4, in <module> from pyexpat import * ImportError: No module named pyexpat Original exception was: Traceback (most recent call last): File "/usr/bin/pyclean", line 25, in <module> import logging ImportError: No module named logging dpkg: error processing /var/cache/apt/archives/xdiagnose_2.5_all.deb (--unpack): subprocess new pre-removal script returned error exit status 1 No apport report written because MaxReports is reached already Could not find platform dependent libraries <exec_prefix> Consider setting $PYTHONHOME to <prefix>[:<exec_prefix>] Traceback (most recent call last): File "/usr/bin/pycompile", line 27, in <module> import logging ImportError: No module named logging Error in sys.excepthook: Traceback (most recent call last): File "/usr/lib/python2.7/dist-packages/apport_python_hook.py", line 64, in apport_excepthook from apport.fileutils import likely_packaged, get_recent_crashes File "/usr/lib/python2.7/dist-packages/apport/__init__.py", line 1, in <module> from apport.report import Report File "/usr/lib/python2.7/dist-packages/apport/report.py", line 16, in <module> from xml.parsers.expat import ExpatError File "/usr/lib/python2.7/xml/parsers/expat.py", line 4, in <module> from pyexpat import * ImportError: No module named pyexpat Original exception was: Traceback (most recent call last): File "/usr/bin/pycompile", line 27, in <module> import logging ImportError: No module named logging dpkg: error while cleaning up: subprocess installed post-installation script returned error exit status 1 Errors were encountered while processing: /var/cache/apt/archives/gwibber_3.4.2-0ubuntu1_i386.deb /var/cache/apt/archives/gwibber-service_3.4.2-0ubuntu1_all.deb /var/cache/apt/archives/kde-runtime-data_4%3a4.8.4-0ubuntu0.1_all.deb /var/cache/apt/archives/python-crypto_2.4.1-1_i386.deb /var/cache/apt/archives/software-center_5.2.4_all.deb /var/cache/apt/archives/xdiagnose_2.5_all.deb E: Sub-process /usr/bin/dpkg returned an error code (1) maura@pandora:~$ ^C maura@pandora:~$

  Read the article

• More CPU cores may not always lead to better performance – MAXDOP and query memory distribution in spotlight

  - by sqlworkshops

  More hardware normally delivers better performance, but there are exceptions where it can hinder performance. Understanding these exceptions and working around it is a major part of SQL Server performance tuning.   When a memory allocating query executes in parallel, SQL Server distributes memory to each task that is executing part of the query in parallel. In our example the sort operator that executes in parallel divides the memory across all tasks assuming even distribution of rows. Common memory allocating queries are that perform Sort and do Hash Match operations like Hash Join or Hash Aggregation or Hash Union.   In reality, how often are column values evenly distributed, think about an example; are employees working for your company distributed evenly across all the Zip codes or mainly concentrated in the headquarters? What happens when you sort result set based on Zip codes? Do all products in the catalog sell equally or are few products hot selling items?   One of my customers tested the below example on a 24 core server with various MAXDOP settings and here are the results:MAXDOP 1: CPU time = 1185 ms, elapsed time = 1188 msMAXDOP 4: CPU time = 1981 ms, elapsed time = 1568 msMAXDOP 8: CPU time = 1918 ms, elapsed time = 1619 msMAXDOP 12: CPU time = 2367 ms, elapsed time = 2258 msMAXDOP 16: CPU time = 2540 ms, elapsed time = 2579 msMAXDOP 20: CPU time = 2470 ms, elapsed time = 2534 msMAXDOP 0: CPU time = 2809 ms, elapsed time = 2721 ms - all 24 cores.In the above test, when the data was evenly distributed, the elapsed time of parallel query was always lower than serial query.   Why does the query get slower and slower with more CPU cores / higher MAXDOP? Maybe you can answer this question after reading the article; let me know: [email protected].   Well you get the point, let’s see an example.   The best way to learn is to practice. To create the below tables and reproduce the behavior, join the mailing list by using this link: www.sqlworkshops.com/ml and I will send you the table creation script.   Let’s update the Employees table with 49 out of 50 employees located in Zip code 2001. update Employees set Zip = EmployeeID / 400 + 1 where EmployeeID % 50 = 1 update Employees set Zip = 2001 where EmployeeID % 50 != 1 go update statistics Employees with fullscan go   Let’s create the temporary table #FireDrill with all possible Zip codes. drop table #FireDrill go create table #FireDrill (Zip int primary key) insert into #FireDrill select distinct Zip from Employees update statistics #FireDrill with fullscan go  Let’s execute the query serially with MAXDOP 1. --Example provided by www.sqlworkshops.com --Execute query with uneven Zip code distribution --First serially with MAXDOP 1 set statistics time on go declare @EmployeeID int, @EmployeeName varchar(48),@zip int select @EmployeeName = e.EmployeeName, @zip = e.Zip from Employees e       inner join #FireDrill fd on (e.Zip = fd.Zip)       order by e.Zip option (maxdop 1) goThe query took 1011 ms to complete.   The execution plan shows the 77816 KB of memory was granted while the estimated rows were 799624.  No Sort Warnings in SQL Server Profiler.  Now let’s execute the query in parallel with MAXDOP 0. --Example provided by www.sqlworkshops.com --Execute query with uneven Zip code distribution --In parallel with MAXDOP 0 set statistics time on go declare @EmployeeID int, @EmployeeName varchar(48),@zip int select @EmployeeName = e.EmployeeName, @zip = e.Zip from Employees e       inner join #FireDrill fd on (e.Zip = fd.Zip)       order by e.Zip option (maxdop 0) go The query took 1912 ms to complete.  The execution plan shows the 79360 KB of memory was granted while the estimated rows were 799624.  The estimated number of rows between serial and parallel plan are the same. The parallel plan has slightly more memory granted due to additional overhead. Sort properties shows the rows are unevenly distributed over the 4 threads.   Sort Warnings in SQL Server Profiler.   Intermediate Summary: The reason for the higher duration with parallel plan was sort spill. This is due to uneven distribution of employees over Zip codes, especially concentration of 49 out of 50 employees in Zip code 2001. Now let’s update the Employees table and distribute employees evenly across all Zip codes.   update Employees set Zip = EmployeeID / 400 + 1 go update statistics Employees with fullscan go  Let’s execute the query serially with MAXDOP 1. --Example provided by www.sqlworkshops.com --Execute query with uneven Zip code distribution --Serially with MAXDOP 1 set statistics time on go declare @EmployeeID int, @EmployeeName varchar(48),@zip int select @EmployeeName = e.EmployeeName, @zip = e.Zip from Employees e       inner join #FireDrill fd on (e.Zip = fd.Zip)       order by e.Zip option (maxdop 1) go   The query took 751 ms to complete.  The execution plan shows the 77816 KB of memory was granted while the estimated rows were 784707.  No Sort Warnings in SQL Server Profiler.   Now let’s execute the query in parallel with MAXDOP 0. --Example provided by www.sqlworkshops.com --Execute query with uneven Zip code distribution --In parallel with MAXDOP 0 set statistics time on go declare @EmployeeID int, @EmployeeName varchar(48),@zip int select @EmployeeName = e.EmployeeName, @zip = e.Zip from Employees e       inner join #FireDrill fd on (e.Zip = fd.Zip)       order by e.Zip option (maxdop 0) go The query took 661 ms to complete.  The execution plan shows the 79360 KB of memory was granted while the estimated rows were 784707.  Sort properties shows the rows are evenly distributed over the 4 threads. No Sort Warnings in SQL Server Profiler.    Intermediate Summary: When employees were distributed unevenly, concentrated on 1 Zip code, parallel sort spilled while serial sort performed well without spilling to tempdb. When the employees were distributed evenly across all Zip codes, parallel sort and serial sort did not spill to tempdb. This shows uneven data distribution may affect the performance of some parallel queries negatively. For detailed discussion of memory allocation, refer to webcasts available at www.sqlworkshops.com/webcasts.     Some of you might conclude from the above execution times that parallel query is not faster even when there is no spill. Below you can see when we are joining limited amount of Zip codes, parallel query will be fasted since it can use Bitmap Filtering.   Let’s update the Employees table with 49 out of 50 employees located in Zip code 2001. update Employees set Zip = EmployeeID / 400 + 1 where EmployeeID % 50 = 1 update Employees set Zip = 2001 where EmployeeID % 50 != 1 go update statistics Employees with fullscan go  Let’s create the temporary table #FireDrill with limited Zip codes. drop table #FireDrill go create table #FireDrill (Zip int primary key) insert into #FireDrill select distinct Zip       from Employees where Zip between 1800 and 2001 update statistics #FireDrill with fullscan go  Let’s execute the query serially with MAXDOP 1. --Example provided by www.sqlworkshops.com --Execute query with uneven Zip code distribution --Serially with MAXDOP 1 set statistics time on go declare @EmployeeID int, @EmployeeName varchar(48),@zip int select @EmployeeName = e.EmployeeName, @zip = e.Zip from Employees e       inner join #FireDrill fd on (e.Zip = fd.Zip)       order by e.Zip option (maxdop 1) go The query took 989 ms to complete.  The execution plan shows the 77816 KB of memory was granted while the estimated rows were 785594. No Sort Warnings in SQL Server Profiler.  Now let’s execute the query in parallel with MAXDOP 0. --Example provided by www.sqlworkshops.com --Execute query with uneven Zip code distribution --In parallel with MAXDOP 0 set statistics time on go declare @EmployeeID int, @EmployeeName varchar(48),@zip int select @EmployeeName = e.EmployeeName, @zip = e.Zip from Employees e       inner join #FireDrill fd on (e.Zip = fd.Zip)       order by e.Zip option (maxdop 0) go The query took 1799 ms to complete.  The execution plan shows the 79360 KB of memory was granted while the estimated rows were 785594.  Sort Warnings in SQL Server Profiler.    The estimated number of rows between serial and parallel plan are the same. The parallel plan has slightly more memory granted due to additional overhead.  Intermediate Summary: The reason for the higher duration with parallel plan even with limited amount of Zip codes was sort spill. This is due to uneven distribution of employees over Zip codes, especially concentration of 49 out of 50 employees in Zip code 2001.   Now let’s update the Employees table and distribute employees evenly across all Zip codes. update Employees set Zip = EmployeeID / 400 + 1 go update statistics Employees with fullscan go Let’s execute the query serially with MAXDOP 1. --Example provided by www.sqlworkshops.com --Execute query with uneven Zip code distribution --Serially with MAXDOP 1 set statistics time on go declare @EmployeeID int, @EmployeeName varchar(48),@zip int select @EmployeeName = e.EmployeeName, @zip = e.Zip from Employees e       inner join #FireDrill fd on (e.Zip = fd.Zip)       order by e.Zip option (maxdop 1) go The query took 250  ms to complete.  The execution plan shows the 9016 KB of memory was granted while the estimated rows were 79973.8.  No Sort Warnings in SQL Server Profiler.  Now let’s execute the query in parallel with MAXDOP 0.  --Example provided by www.sqlworkshops.com --Execute query with uneven Zip code distribution --In parallel with MAXDOP 0 set statistics time on go declare @EmployeeID int, @EmployeeName varchar(48),@zip int select @EmployeeName = e.EmployeeName, @zip = e.Zip from Employees e       inner join #FireDrill fd on (e.Zip = fd.Zip)       order by e.Zip option (maxdop 0) go The query took 85 ms to complete.  The execution plan shows the 13152 KB of memory was granted while the estimated rows were 784707.  No Sort Warnings in SQL Server Profiler.    Here you see, parallel query is much faster than serial query since SQL Server is using Bitmap Filtering to eliminate rows before the hash join.   Parallel queries are very good for performance, but in some cases it can hinder performance. If one identifies the reason for these hindrances, then it is possible to get the best out of parallelism. I covered many aspects of monitoring and tuning parallel queries in webcasts (www.sqlworkshops.com/webcasts) and articles (www.sqlworkshops.com/articles). I suggest you to watch the webcasts and read the articles to better understand how to identify and tune parallel query performance issues.   Summary: One has to avoid sort spill over tempdb and the chances of spills are higher when a query executes in parallel with uneven data distribution. Parallel query brings its own advantage, reduced elapsed time and reduced work with Bitmap Filtering. So it is important to understand how to avoid spills over tempdb and when to execute a query in parallel.   I explain these concepts with detailed examples in my webcasts (www.sqlworkshops.com/webcasts), I recommend you to watch them. The best way to learn is to practice. To create the above tables and reproduce the behavior, join the mailing list at www.sqlworkshops.com/ml and I will send you the relevant SQL Scripts.   Register for the upcoming 3 Day Level 400 Microsoft SQL Server 2008 and SQL Server 2005 Performance Monitoring & Tuning Hands-on Workshop in London, United Kingdom during March 15-17, 2011, click here to register / Microsoft UK TechNet.These are hands-on workshops with a maximum of 12 participants and not lectures. For consulting engagements click here.   Disclaimer and copyright information:This article refers to organizations and products that may be the trademarks or registered trademarks of their various owners. Copyright of this article belongs to R Meyyappan / www.sqlworkshops.com. You may freely use the ideas and concepts discussed in this article with acknowledgement (www.sqlworkshops.com), but you may not claim any of it as your own work. This article is for informational purposes only; you use any of the suggestions given here entirely at your own risk.   Register for the upcoming 3 Day Level 400 Microsoft SQL Server 2008 and SQL Server 2005 Performance Monitoring & Tuning Hands-on Workshop in London, United Kingdom during March 15-17, 2011, click here to register / Microsoft UK TechNet.These are hands-on workshops with a maximum of 12 participants and not lectures. For consulting engagements click here.   R Meyyappan [email protected] LinkedIn: http://at.linkedin.com/in/rmeyyappan  

  Read the article

• Pie Charts Just Don't Work When Comparing Data - Number 10 of Top 10 Reasons to Never Ever Use a Pie

  - by Tony Wolfram

  When comparing data, which is what a pie chart is for, people have a hard time judging the angles and areas of the multiple pie slices in order to calculate how much bigger one slice is than the others. Pie Charts Don't Work A slice of pie is good for serving up a portion of desert. It's not good for making a judgement about how big the slice is, what percentage of 100 it is, or how it compares to other slices. People have trouble comparing angles and areas to each other. Controlled studies show that people will overestimate the percentage that a pie slice area represents. This is because we have trouble calculating the area based on the space between the two angles that define the slice. This picture shows how a pie chart is useless in determing the largest value when you have to compare pie slices.   You can't compare angles and slice areas to each other. Human perception and cognition is poor when viewing angles and areas and trying to make a mental comparison. Pie charts overload the working memory, forcing the person to make complicated calculations, and at the same time make a decision based on those comparisons. What's the point of showing a pie chart when you want to compare data, except to say, "well, the slices are almost the same, but I'm not really sure which one is bigger, or by how much, or what order they are from largest to smallest. But the colors sure are pretty. Plus, I like round things. Oh,was I suppose to make some important business decision? Sorry." Bad Choices and Bad Decisions Interaction Designers, Graphic Artists, Report Builders, Software Developers, and Executives have all made the decision to use pie charts in their reports, software applications, and dashboards. It was a bad decision. It was a poor choice. There are always better options and choices, yet the designer still made the decision to use a pie chart. I'll expore why people make such poor choices in my upcoming blog entires. (Hint: It has more to do with emotions than with analytical thinking.) I've outlined my opinions and arguments about the evils of using pie charts in "Countdown of Top 10 Reasons to Never Ever Use a Pie Chart." Each of my next 10 blog entries will support these arguments with illustrations, examples, and references to studies. But my goal is not to continuously and endlessly rage against the evils of using pie charts. This blog is not about pie charts. This blog is about understanding why designers choose to use a pie chart. Why, when give better alternatives, and acknowledging the shortcomings of pie charts, do designers over and over again still freely choose to place a pie chart in a report? As an extra treat and parting shot, check out the nice pie chart that Wikipedia uses to illustrate the United States population by state.   Remember, somebody chose to use this pie chart, with all its glorious colors, and post it on Wikipedia for all the world to see. My next blog will give you a better alternative for displaying comparable data - the sorted bar chart.

  Read the article

• 501 Error during Libjingle PCP on Amazone EC2 running Openfire

  - by AeroBuffalo

  I am trying to implement Google's Libjingle (version: 0.6.14) PCP example and I am getting a 501: feature not implemented error during execution. Specifically, the error occurs after each "account" has connected, been authenticated and began communicating with the other. An abbreviated log of the interaction is provided at the end. I have set up my own jabber server (using OpenFire on an Amazon EC2 server), have opened all of the necessary ports and have added each "account" to the other's roster. The server has been set to allow for file transfers. My being new to working with servers, I am not sure why this error is occur and how to go about fixing it. Thanks in advance, AeroBuffalo P.S. Let me know if there is any additional information needed (i.e. the full program log for either/both ends). Receiving End: [018:217] SEND >>>>>>>>>>>>>>>>>>>>>>>>> : Thu Jul 5 14:17:15 2012 [018:217] <iq to="[email protected]/pcp" type="set" id="5"> [018:217] <jingle xmlns="urn:xmpp:jingle:1" action="session-initiate" sid="402024303" initiator="[email protected]/pcp"> [018:217] <content name="securetunnel" creator="initiator"> [018:217] <description xmlns="http://www.google.com/talk/securetunnel"> [018:217] <type>send:winein.jpeg</type> [018:217] <client-cert>--BEGIN CERTIFICATE--END CERTIFICATE--</client-cert> [018:217] </description> [018:217] <transport xmlns="http://www.google.com/transport/p2p"/> [018:217] </content> [018:217] </jingle> [018:217] <session xmlns="http://www.google.com/session" type="initiate" id="402024303" initiator="[email protected]/pcp"> [018:217] <description xmlns="http://www.google.com/talk/securetunnel"> [018:217] <type>send:winein.jpeg</type> [018:217] <client-cert>--BEGIN CERTIFICATE--END CERTIFICATE--</client-cert> [018:217] </description></session> [018:217] </iq> [018:217] RECV <<<<<<<<<<<<<<<<<<<<<<<<< : Thu Jul 5 14:17:15 2012 [018:217] <presence to="[email protected]/pcp" from="forgesend" type="error"> [018:217] <error code="404" type="cancel"> [018:217] <remote-server-not-found xmlns="urn:ietf:params:xml:ns:xmpp-stanzas"/> [018:217] </error></presence> [018:218] RECV <<<<<<<<<<<<<<<<<<<<<<<<< : Thu Jul 5 14:17:15 2012 [018:218] <presence to="[email protected]/pcp" from="forgesend" type="error"> [018:218] <error code="404" type="cancel"> [018:218] <remote-server-not-found xmlns="urn:ietf:params:xml:ns:xmpp-stanzas"/> [018:218] </error></presence> [018:264] RECV <<<<<<<<<<<<<<<<<<<<<<<<< : Thu Jul 5 14:17:15 2012 [018:264] <iq type="result" id="3" to="[email protected]/pcp"> [018:264] <query xmlns="google:jingleinfo"> [018:264] <stun> [018:264] <server host="stun.xten.net" udp="3478"/> [018:264] <server host="jivesoftware.com" udp="3478"/> [018:264] <server host="igniterealtime.org" udp="3478"/> [018:264] <server host="stun.fwdnet.net" udp="3478"/> [018:264] </stun> [018:264] <publicip ip="65.101.207.121"/> [018:264] </query></iq> [018:420] RECV <<<<<<<<<<<<<<<<<<<<<<<<< : Thu Jul 5 14:17:15 2012 [018:420] <iq to="[email protected]/pcp" type="set" id="5" from="[email protected]/pcp"> [018:420] <jingle xmlns="urn:xmpp:jingle:1" action="session-initiate" sid="3548650675" initiator="[email protected]/pcp"> [018:420] <content name="securetunnel" creator="initiator"> [018:420] <description xmlns="http://www.google.com/talk/securetunnel"> [018:420] <type>recv:wineout.jpeg</type> [018:420] <client-cert>--BEGIN CERTIFICATE--END CERTIFICATE--</client-cert> [018:420] </description> [018:420] <transport xmlns="http://www.google.com/transport/p2p"/> [018:420] </content></jingle> [018:420] <session xmlns="http://www.google.com/session" type="initiate" id="3548650675" initiator="[email protected]/pcp"> [018:420] <description xmlns="http://www.google.com/talk/securetunnel"> [018:420] <type>recv:wineout.jpeg</type> [018:420] <client-cert>--BEGIN CERTIFICATE--END CERTIFICATE--</client-cert> [018:420] </description></session></iq> [018:421] TunnelSessionClientBase::OnSessionCreate: received=1 [018:421] Session:3548650675 Old state:STATE_INIT New state:STATE_RECEIVEDINITIATE Type:http://www.google.com/talk/securetunnel Transport:http://www.google.com/transport/p2p [018:421] TunnelSession::OnSessionState(Session::STATE_RECEIVEDINITIATE) [018:421] SEND >>>>>>>>>>>>>>>>>>>>>>>>> : Thu Jul 5 14:17:15 2012 [018:421] <iq to="[email protected]/pcp" id="5" type="result"/> [018:465] RECV <<<<<<<<<<<<<<<<<<<<<<<<< : Thu Jul 5 14:17:15 2012 [018:465] <iq to="[email protected]/pcp" id="5" type="result" from="[email protected]/pcp"/> [198:665] RECV <<<<<<<<<<<<<<<<<<<<<<<<< : Thu Jul 5 14:20:15 2012 [198:665] <iq type="get" id="162-10" from="forgejabber.com" to="[email protected]/pcp"> [198:665] <ping xmlns="urn:xmpp:ping"/> [198:665] /iq> [198:665] SEND >>>>>>>>>>>>>>>>>>>>>>>>> : Thu Jul 5 14:20:15 2012 [198:665] <iq type="error" id="162-10" to="forgejabber.com"> [198:665] <ping xmlns="urn:xmpp:ping"/> [198:665] <error code="501" type="cancel"> [198:665] <feature-not-implemented xmlns="urn:ietf:params:xml:ns:xmpp-stanzas"/> [198:665] </error> [198:665] </iq> Sender: [019:043] SEND >>>>>>>>>>>>>>>>>>>>>>>>> : Thu Jul 5 14:17:15 2012 [019:043] <iq type="get" id="3"> [019:043] <query xmlns="google:jingleinfo"/> [019:043] </iq> [019:043] SEND >>>>>>>>>>>>>>>>>>>>>>>>> : Thu Jul 5 14:17:15 2012 [019:043] <iq to="[email protected]/pcp" type="set" id="5"> [019:043] <jingle xmlns="urn:xmpp:jingle:1" action="session-initiate" sid="3548650675" initiator="[email protected]/pcp"> [019:043] <content name="securetunnel" creator="initiator"> [019:043] <description xmlns="http://www.google.com/talk/securetunnel"> [019:043] <type>recv:wineout.jpeg</type> [019:043] <client-cert>--BEGIN CERTIFICATE----END CERTIFICATE--</client-cert> [019:043] </description> [019:043] <transport xmlns="http://www.google.com/transport/p2p"/> [019:043] </content> [019:043] </jingle> [019:043] <session xmlns="http://www.google.com/session" type="initiate" id="3548650675" initiator="[email protected]/pcp"> [019:043] <description xmlns="http://www.google.com/talk/securetunnel"> [019:043] <type>recv:wineout.jpeg</type> [019:043] <client-cert>--BEGIN CERTIFICATE--END CERTIFICATE--</client-cert> [019:043] </description></session></iq> [019:043] RECV <<<<<<<<<<<<<<<<<<<<<<<<< : Thu Jul 5 14:17:15 2012 [019:043] <presence to="[email protected]/pcp" from="forgereceive" type="error"> [019:043] <error code="404" type="cancel"> [019:043] <remote-server-not-found xmlns="urn:ietf:params:xml:ns:xmpp-stanzas"/> [019:043] </error></presence> [019:044] RECV <<<<<<<<<<<<<<<<<<<<<<<<< : Thu Jul 5 14:17:15 2012 [019:044] <presence to="[email protected]/pcp" from="forgereceive" type="error"> [019:044] <error code="404" type="cancel"> [019:044] <remote-server-not-found xmlns="urn:ietf:params:xml:ns:xmpp-stanzas"/> [019:044] </error></presence> [019:044] RECV <<<<<<<<<<<<<<<<<<<<<<<<< : Thu Jul 5 14:17:15 2012 [019:044] <iq to="[email protected]/pcp" type="set" id="5" from="[email protected]/pcp"> [019:044] <jingle xmlns="urn:xmpp:jingle:1" action="session-initiate" sid="402024303" initiator="[email protected]/pcp"> [019:044] <content name="securetunnel" creator="initiator"> [019:044] <description xmlns="http://www.google.com/talk/securetunnel"> [019:044] <type>send:winein.jpeg</type> [019:044] <client-cert>--BEGIN CERTIFICATE--END CERTIFICATE--</client-cert> [019:044] </description> [019:044] <transport xmlns="http://www.google.com/transport/p2p"/> [019:044] </content></jingle> [019:044] <session xmlns="http://www.google.com/session" type="initiate" id="402024303" initiator="[email protected]/pcp"> [019:044] <description xmlns="http://www.google.com/talk/securetunnel"> [019:044] <type>send:winein.jpeg</type> [019:044] <client-cert>--BEGIN CERTIFICATE--END CERTIFICATE--</client-cert> [019:044] </description></session></iq> [019:044] TunnelSessionClientBase::OnSessionCreate: received=1 [019:044] Session:402024303 Old state:STATE_INIT New state:STATE_RECEIVEDINITIATE Type:http://www.google.com/talk/securetunnel Transport:http://www.google.com/transport/p2p [019:044] TunnelSession::OnSessionState(Session::STATE_RECEIVEDINITIATE) [019:044] SEND >>>>>>>>>>>>>>>>>>>>>>>>> : Thu Jul 5 14:17:15 2012 [019:044] <iq to="[email protected]/pcp" id="5" type="result"/> [019:088] RECV <<<<<<<<<<<<<<<<<<<<<<<<< : Thu Jul 5 14:17:15 2012 [019:088] <iq type="result" id="3" to="[email protected]/pcp"> [019:088] <query xmlns="google:jingleinfo"> [019:088] <stun> [019:088] <server host="stun.xten.net" udp="3478"/> [019:088] <server host="jivesoftware.com" udp="3478"/> [019:088] <server host="igniterealtime.org" udp="3478"/> [019:088] <server host="stun.fwdnet.net" udp="3478"/> [019:088] </stun> [019:088] <publicip ip="65.101.207.121"/> [019:088] </query> [019:088] </iq> [019:183] RECV <<<<<<<<<<<<<<<<<<<<<<<<< : Thu Jul 5 14:17:15 2012 [019:183] <iq to="[email protected]/pcp" id="5" type="result" from="[email protected]/pcp"/> [199:381] RECV <<<<<<<<<<<<<<<<<<<<<<<<< : Thu Jul 5 14:20:15 2012 [199:381] <iq type="get" id="474-11" from="forgejabber.com" to="[email protected]/pcp"> [199:381] <ping xmlns="urn:xmpp:ping"/> [199:381] </iq> [199:381] SEND >>>>>>>>>>>>>>>>>>>>>>>>> : Thu Jul 5 14:20:15 2012 [199:381] <iq type="error" id="474-11" to="forgejabber.com"> [199:381] <ping xmlns="urn:xmpp:ping"/> [199:381] <error code="501" type="cancel"> [199:381] <feature-not-implemented xmlns="urn:ietf:params:xml:ns:xmpp-stanzas"/> [199:382] </error></iq>

  Read the article

• To SYNC or not to SYNC – Part 4

  - by AshishRay

  This is Part 4 of a multi-part blog article where we are discussing various aspects of setting up Data Guard synchronous redo transport (SYNC). In Part 1 of this article, I debunked the myth that Data Guard SYNC is similar to a two-phase commit operation. In Part 2, I discussed the various ways that network latency may or may not impact a Data Guard SYNC configuration. In Part 3, I talked in details regarding why Data Guard SYNC is a good thing, and the distance implications you have to keep in mind. In this final article of the series, I will talk about how you can nicely complement Data Guard SYNC with the ability to failover in seconds. Wait - Did I Say “Seconds”? Did I just say that some customers do Data Guard failover in seconds? Yes, Virginia, there is a Santa Claus. Data Guard has an automatic failover capability, aptly called Fast-Start Failover. Initially available with Oracle Database 10g Release 2 for Data Guard SYNC transport mode (and enhanced in Oracle Database 11g to support Data Guard ASYNC transport mode), this capability, managed by Data Guard Broker, lets your Data Guard configuration automatically failover to a designated standby database. Yes, this means no human intervention is required to do the failover. This process is controlled by a low footprint Data Guard Broker client called Observer, which makes sure that the primary database and the designated standby database are behaving like good kids. If something bad were to happen to the primary database, the Observer, after a configurable threshold period, tells that standby, “Your time has come, you are the chosen one!” The standby dutifully follows the Observer directives by assuming the role of the new primary database. The DBA or the Sys Admin doesn’t need to be involved. And - in case you are following this discussion very closely, and are wondering … “Hmmm … what if the old primary is not really dead, but just network isolated from the Observer or the standby - won’t this lead to a split-brain situation?” The answer is No - It Doesn’t. With respect to why-it-doesn’t, I am sure there are some smart DBAs in the audience who can explain the technical reasons. Otherwise - that will be the material for a future blog post. So - this combination of SYNC and Fast-Start Failover is the nirvana of lights-out, integrated HA and DR, as practiced by some of our advanced customers. They have observed failover times (with no data loss) ranging from single-digit seconds to tens of seconds. With this, they support operations in industry verticals such as manufacturing, retail, telecom, Internet, etc. that have the most demanding availability requirements. One of our leading customers with massive cloud deployment initiatives tells us that they know about server failures only after Data Guard has automatically completed the failover process and the app is back up and running! Needless to mention, Data Guard Broker has the integration hooks for interfaces such as JDBC and OCI, or even for custom apps, to ensure the application gets automatically rerouted to the new primary database after the database level failover completes. Net Net? To sum up this multi-part blog article, Data Guard with SYNC redo transport mode, plus Fast-Start Failover, gives you the ideal triple-combo - that is, it gives you the assurance that for critical outages, you can failover your Oracle databases: very fast without human intervention, and without losing any data. In short, it takes the element of risk out of critical IT operations. It does require you to be more careful with your network and systems planning, but as far as HA is concerned, the benefits outweigh the investment costs. So, this is what we in the MAA Development Team believe in. What do you think? How has your deployment experience been? We look forward to hearing from you!

  Read the article

• How to retrieve Sharepoint data from a Windows Forms Application.

  - by Michael M. Bangoy

  In this demo I'm going to demonstrate how to retrieve Sharepoint data and display it on a Windows Forms Application. 1. Open Visual Studio 2010 and create a new Project. 2. In the project template select Windows Forms Application. 3. In order to communicate with Sharepoint from a Windows Forms Application we need to add the 2 Sharepoint Client DLL located in c:\Program Files\Common Files\Microsoft Shared\Web Server Extensions\14\ISAPI. 4. Select the Microsoft.Sharepoint.Client.dll and Microsoft.Sharepoint.Client.Runtime.dll. That's it we're ready to write our codes. Note: In this example I've added to controls on the form, the controls are Button, TextBox, Label and DataGridView. using System; using System.Collections.Generic; using System.ComponentModel; using System.Data; using System.Data.Objects; using System.Drawing; using System.Linq; using System.Text; using System.Security; using System.Windows.Forms; using SP = Microsoft.SharePoint.Client; namespace ClientObjectModel { public partial class Form1 : Form { // declare string url of the Sharepoint site string _context = "theurlofyoursharepointsite"; public Form1() { InitializeComponent(); } private void Form1_Load(object sender, EventArgs e) { } private void getsitetitle() {    SP.ClientContext context = new SP.ClientContext(_context);    SP.Web _site = context.Web;    context.Load(_site);    context.ExecuteQuery();    txttitle.Text = _site.Title;    context.Dispose(); } private void loadlist() { using (SP.ClientContext _clientcontext = new SP.ClientContext(_context)) {    SP.Web _web = _clientcontext.Web;    SP.ListCollection _lists = _clientcontext.Web.Lists;    _clientcontext.Load(_lists);    _clientcontext.ExecuteQuery();    DataTable dt = new DataTable();    DataColumn column;    DataRow row;    column = new DataColumn();    column.DataType = Type.GetType("System.String");    column.ColumnName = "List Title";    dt.Columns.Add(column);    foreach (SP.List listitem in _lists)    {       row = dt.NewRow();       row["List Title"] = listitem.Title;       dt.Rows.Add(row);    }       dataGridView1.DataSource = dt;    } private void cmdload_Click(object sender, EventArgs e) { getsitetitle(); loadlist(); } } That's it. Running the application and clicking the Load Button will retrieve the Title of the Sharepoint site and display it on the TextBox and also it will retrieve ALL of the Sharepoint List on that site and populate the DataGridView with the List Title. Hope this helps. Thank you.

  Read the article

• How to delete all your old website data from the internet?

  - by Akky Awesøme

  I had my website on rohbits.com but for some reasons I had to delete it and recreate it with this URL wwww.rohbits.com/blog. My problem is that the old links are still visible on google search and when people click on those links, they land on a 404 Error page of the hosting company. I want to either delete all the previous data from the search engines or have an 404 Error page of my own so that I can tell my visitors where the actual website is. I have already redirected all the traffic which comes to rohbits.com to www.rohbits.com/blog but when they click on the expired links, they get this error page. One sample expired link is this one: http://rohbits.com/wordpress-tricks.

  Read the article

• How can I get HTTPD to serve the html/php files and not list/index them when they are in folder for virtual host. Using Centos 6.0

  - by LaserBeak

  My virtual hosts are configured as below, initally I could not even get to the /public_html/ directory when typing example.com and apache would just serve me up the default welcome page, I would also get the error: Directory index forbidden by Options directive: /var/www/html/example.com/public_html/ in the log . After editing the welcome.conf page (- Index) so it does not show again when I now type example.com the/public_html/ contents (Index.php) are indexed in the browser. Where as I want it to actually execute and diplay the index.php page. vhost.conf , located in etc/httpd/vhost.d/ NameVirtualHost *:80 <VirtualHost *:80> ServerAdmin [email protected] ServerName localhost ServerAlias localhost.example.com DocumentRoot /var/www/html/example.com/public_html/ ErrorLog /var/www/html/example.com/logs/error.log CustomLog /var/www/html/example.com/logs/access.log combined </VirtualHost> <VirtualHost *:80> ServerAdmin [email protected] ServerName example.org ServerAlias www.example.org DocumentRoot /var/www/html/example.org/public_html/ ErrorLog /var/www/html/example.org/logs/error.log CustomLog /var/www/html/example.org/logs/access.log combined </VirtualHost> httpd.conf, settings on default, added onto end: Include /etc/httpd/vhosts.d/*.conf Root directories: DocumentRoot "/var/www/html"

  Read the article

< Previous Page | 436 437 438 439 440 441 442 443 444 445 446 447  | Next Page >