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  • Cannot connect to postgresql on port 5432

    - by Assaf Lavie
    I installed the Bitnami Django stack which included PostgreSQL 8.4. When I run psql -U postgres I get the following error: psql: could not connect to server: No such file or directory Is the server running locally and accepting connections on Unix domain socket "/var/run/postgresql/.s.PGSQL.5432"? PG is definitely running and the pg_hba.conf file looks like this: # TYPE DATABASE USER CIDR-ADDRESS METHOD # "local" is for Unix domain socket connections only local all all md5 # IPv4 local connections: host all all 127.0.0.1/32 md5 # IPv6 local connections: host all all ::1/128 md5 What gives? "Proof" that pg is running: root@assaf-desktop:/home/assaf# ps axf | grep postgres 14338 ? S 0:00 /opt/djangostack-1.3-0/postgresql/bin/postgres -D /opt/djangostack-1.3-0/postgresql/data -p 5432 14347 ? Ss 0:00 \_ postgres: writer process 14348 ? Ss 0:00 \_ postgres: wal writer process 14349 ? Ss 0:00 \_ postgres: autovacuum launcher process 14350 ? Ss 0:00 \_ postgres: stats collector process 15139 pts/1 S+ 0:00 \_ grep --color=auto postgres root@assaf-desktop:/home/assaf# netstat -nltp | grep 5432 tcp 0 0 127.0.0.1:5432 0.0.0.0:* LISTEN 14338/postgres tcp6 0 0 ::1:5432 :::* LISTEN 14338/postgres root@assaf-desktop:/home/assaf#

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  • Looking for a comfortable Laptop Cooling Pad? Repurpose a pillow as a Laptop Cooling Pad

    - by Gopinath
    Update: This idea sucks as using a pillow blocks laptop cooling fans and air flow, which in turn would damage the laptop. Thanks Vijay I’ve a HP Pavilion laptop which turns hot quickly and most of the time I would not be able to keep it on my lap after 30 minutes of usage. It’s the same case with my DELL laptop and not to blame any specific brand or model. Most of the budget laptops generate lot of heat and tough to keep them on laps for a long time. They burn skin and the irritation sense leaves me with no option other than throwing them away. While searching for options to beat the heat I found Laptop Cooling Pads on Amazon.They attach to the base of laptops and act like a heat shield/sink to protect thighs from the heat generated by laptops. They are available from around $7 and goes up to $100 depending on the features they offer. After reading reviews I selected a trendy looking and comfortable laptop cooling pad and it was around $25 before shipping and taxes. I’m going to buy one of the cooling pads from Amazon. On a second thought I started searching for options to repurpose any of the house hold items as a laptop cooling pad and save money. The option suggested by wife is to repurpose an old pillow as a laptop cooling pad.  Here is my laptop cooling pad Wow! That is a nice suggestion which saved my thighs from laptop heat as well my wallet from spending $25. Even if I’ve to buy a new pillow I would be able to pickup cheap one from Wal-Mart store for as low as $2.  Also I find it is very comfortable to use a pillow as a Laptop Cooling Pad as they are flexible and automatically adjust to the shape of my body.

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  • Extra Life 2012

    - by Chris Gardner
    Greetings, It's that time of year again. The time when I beg you for money for charity. See, unlike those bell ringers outside Wal-Mart, I don't do it when you have ten bazillion holiday obligations... Once again, I will be enduring a 24-hour marathon of gaming to raise money for Children Hospital in Birmingham. All the money goes straight to them, and you get to tell Uncie Samual that you're good for that money. I'd REALLY like to break $1000 this year, as I have come REALLY close for the past 2 year to doing so. Don't live near me? Live closer to a children's hospital in the Children's Miracle Network? It's OK. Go find a participant that is working for your hospital and hook them up. Just left me know, I will will join in with the karmic love you will already receive. This year, the event will take place on October 20th, beginning at 8 A.M. Once again, I will try to provide some web streams, etc, if you want to point and laugh (especially if I have to result to playing Dance Central at 4 AM to stay awake for the last part.) Look at it this way, I'm going to badger you about this for the next month. You might as well donate some money so you can righteously tell me to shut the Smurf up. You can place your bid at the link below. Feel free to spread the word to anyone and everyone. I thank you. The children thank you. Several breeds of feral platypus thank you. Maybe, just maybe, doing so will will help you feel the love felt by re-fried beans when lovingly hugged in a warm tortilla. Enjoy your burrito. http://www.extra-life.org/participant/cgardner

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  • json parse error in ruby - unexpected token at

    - by RahTha
    Hi, I get errors at a lot of places when trying to retrieve ticker symbols for US companies from http://d.yimg.com/autoc.finance.yahoo.com/autoc?callback=YAHOO.Finance.SymbolSuggest.ssCallback&query=Wal-Mart I have tried to: resp = Net::HTTP.get_response(URI.parse(url)) data = resp.body qwe = data.split("symbol") p qwe[1] arr1 = data.split("(") arr2 = arr1[1].split(")") fnl = arr2[0].gsub(/-/, '') fnl = fnl.gsub(/\(/, '') fnl = fnl.gsub(/\)/, '') fnl = fnl.gsub(/\./, '') fnl = fnl.gsub('\'', '"') fnl = fnl.gsub(/([\{|\,}])\s*([a-zA-Z]+):/, '\1 "\2":') But this doesnt help as i see: /Library/Ruby/Gems/1.8/gems/json-1.2.0/lib/json/common.rb:123:in `parse': 353: unexpected token at '{"symbol":"BEEV","name": "BENCHMARK ENERGY CORP ' (JSON::ParserError) Any clues as to what i might be doing wrong?

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  • Walmart's Mobile Self-Checkout

    - by David Dorf
    Reuters recently reported that Walmart was testing an iPhone-based self-checkout at a store near its headquarters.  Consumers scan items as they're placed in the physical basket, then the virtual basket is transferred to an existing self-checkout station where payment is tendered.  A very solid solution, but not exactly original. Before we go further, let's look at the possible cost savings for Walmart.  According to the article: Pushing more shoppers to scan their own items and make payments without the help of a cashier could save Wal-Mart millions of dollars, Chief Financial Officer Charles Holley said on March 7. The company spends about $12 million in cashier wages every second at its Walmart U.S. stores. Um, yeah. Using back-of-the-napkin math, I calculated Walmart's cashiers are making $157k per hour.  A more accurate statement would be saving $12M per year for each second saved on the average transaction time.  So if this self-checkout approach saves 2 seconds per transaction on average, Walmart would save $24M per year on labor.  Maybe.  Sometimes that savings will be used to do other tasks in the store, so it may not directly translate to less employees. When I saw this approach demonstrated in Sweden, there were a few differences, which may or may not be in Walmart's plans.  First, the consumers were identified based on their loyalty card.  In order to offset the inevitable shrink, retailers need to save on labor but also increase basket size, typically via in-aisle promotions.  As they scan items, retailers should target promos, and that's easier to do if you know some shopping history.  Last I checked, Walmart had no loyalty program. Second, at the self-checkout station consumers were randomly selected for an audit in which they must re-scan all the items just like you do at a typical self-checkout.  If you were found to be stealing, your ability to use the system can be revoked.  That's a tough one in the US, especially when the system goes wrong, either by mistake or by lying.  At least in my view, the Swedes are bit more trustworthy than the people of Walmart. So while I think the idea of mobile self-checkout has merit, perhaps its not right for Walmart.

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  • PostgreSQL failover cluster on Windows Server

    - by user36997
    We are looking for advice on how to setup a basic failover cluster for our application: We will be using 4 machines running Microsoft Windows Server (most probably 2003). All four will always run our application, which is essentially a web service. Load balancing is "outsourced" - somebody else handles the distribution of the web requests among the servers. Only one of the servers will be running the PostgreSQL server actively at any given time. Another server (of the four) also has the DB installed, but is on standby/passive. The DB data is stored on shared storage. No copying data between servers. Reads are done very frequently by many end-users, and in rather small chunks of data. Writes are done much less frequently, by less users, and in very large bulks of data. Now, how can one configure Microsoft Cluster Service to keep only one instance of the DB server and 4 instances (1 per server) of our application at all times? And does PostgreSQL integrate neatly with MSCS at all? Update: Instead of keeping the data on shared storage, I also consider using log shipping to replicate data on a couple of DB servers. There are two issues with this option: Log shipping only makes sure that I have a second server that gets all of the data and is ready to take over. How do I implement the actual failure detection and failover switch? Switching back: Suppose the master fails and the system automatically fails over to the slave, and later the master comes back online. I understand that with WAL shipping this will require to reconfigure the log shipping once again, and that switching back is far from seamless. Is that so?

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  • Cannot connect to postgres installed on Ubuntu

    - by Assaf
    I installed the Bitnami Django stack which included PostgreSQL 8.4. When I run psql -U postgres I get the following error: psql: could not connect to server: No such file or directory Is the server running locally and accepting connections on Unix domain socket "/var/run/postgresql/.s.PGSQL.5432"? PG is definitely running and the pg_hba.conf file looks like this: # TYPE DATABASE USER CIDR-ADDRESS METHOD # "local" is for Unix domain socket connections only local all all md5 # IPv4 local connections: host all all 127.0.0.1/32 md5 # IPv6 local connections: host all all ::1/128 md5 What gives? "Proof" that pg is running: root@assaf-desktop:/home/assaf# ps axf | grep postgres 14338 ? S 0:00 /opt/djangostack-1.3-0/postgresql/bin/postgres -D /opt/djangostack-1.3-0/postgresql/data -p 5432 14347 ? Ss 0:00 \_ postgres: writer process 14348 ? Ss 0:00 \_ postgres: wal writer process 14349 ? Ss 0:00 \_ postgres: autovacuum launcher process 14350 ? Ss 0:00 \_ postgres: stats collector process 15139 pts/1 S+ 0:00 \_ grep --color=auto postgres root@assaf-desktop:/home/assaf# netstat -nltp | grep 5432 tcp 0 0 127.0.0.1:5432 0.0.0.0:* LISTEN 14338/postgres tcp6 0 0 ::1:5432 :::* LISTEN 14338/postgres root@assaf-desktop:/home/assaf#

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  • Cannot change PostgreSQL port

    - by Jerec TheSith
    I run Postgresql 8.4 as a service on a CentOS 6.2 server. I set port = 21444 and listen_addresses = '*' in /var/lib/pgsql/data/postgresql.conf and I changed 5432 to 21444 in postmaster.opts and restarted postgres, but when I run netstat -lntp postgresql is still running on port 5432 tcp 0 0 0.0.0.0:5432 0.0.0.0:* LISTEN 20276/postmaster When I restart postgresql I get a writting error warning on /proc/self/oom_adj, but the service starts anyway. I read that we could get this error when using virtualized servers, but I don't really know if this has inpact on postgresql listening port. The correct pgsql config file is loaded in /var/lib/pgsql/data : [root@srv02 ~]# ps -ef | grep postgres root 1358 22140 0 09:42 pts/0 00:00:00 grep postgres postgres 9519 1 0 Mar16 ? 00:00:01 /usr/bin/postmaster -p 5432 -D /var/lib/pgsql/data postgres 9573 9519 0 Mar16 ? 00:00:00 postgres: logger process postgres 9575 9519 0 Mar16 ? 00:00:05 postgres: writer process postgres 9576 9519 0 Mar16 ? 00:00:03 postgres: wal writer process postgres 9577 9519 0 Mar16 ? 00:00:01 postgres: autovacuum launcher process postgres 9578 9519 0 Mar16 ? 00:00:01 postgres: stats collector process any thought ? thanks, Jerec

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  • Can I tell if crashplan has backed up a particular file in a particular state?

    - by Chris Cogdon
    I would like to be able to tell, programmatically, if CrashPlan has backed-up a particular file, including the current updates to that file. I.e., that the current contents of a file are backed up. It's relatively easy to tell when CrashPlan last backed up a file: its file name appears in /usr/local/crashplan/log/backup_files.log.0, and with some accuracy, I could compare the backup time with the last modification time to the file, but that method appears to be somewhat dubious. A couple of methods I could think of, but I don't know how: Compare the current file to CrashPlan's metadata about that file. This needs knowledge about the format of CrashPlan's "cache" files as well as the hashing system used. This might be achievable through the CLI, but the CLI is just a portal into the GUI, and I need something that's scriptable. Restore the file to a temporary directory, and compare it. Unfortunately, there is no CLI to do restores; the GUI is the only way. I'll describe what I'm trying to achieve. It would be nice to know how to do the above, even if there are alternative methods for the following: I'm using CrashPlan for continuous backups to my PostgreSQL database, using WAL archives. In the current configuration, the archive command copies the files to an archive directory, which is backed up by CrashPlan. Every so often I manually confirm (or just trust) a group of WALs are backed up, and remove them from the archive directory, and occasionally do a restore through the GUI to ensure I can retrieve current and "deleted" WALs. The xlog directory is backed-up, too, so I have a good chance of doing a near-full restore even if a particular xlog hasn't been archived by PostgreSQL yet. I'd like to be able to automate this process, which necessitates either confirming the backup status and recency, or automating a restore for comparison purposes. (As a bonus, if the method is trustworthy, I could turn the "archive_command" from "copy to archive directory" into "confirm CrashPlan has backed up the current version", and do away with the archive directory completely). (And, yes, I'm doing regular pg_dumpall's, in addition to the above.)

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  • Effecient organization of spare cables and hardware

    - by Jake Wharton
    As many of you also likely do, I have a growing collection of cables, hardware, and spare parts (screws, connectors, etc.). I'm looking to find a good system of organization so that everything isn't a tangled mess, mismatched, and potentially able to be damaged. Since the the three things listed above are all have varying sizes and degrees of delicacy this poises an interesting problem. Presently I have those cheap plastic storage bins you find at Wal-mart for everything. Cables that were once wrapped neatly have become tangled due to numerous "I know I have a cable for this" moments. Hardware is mixed in other bins with odds and ends with no protection from each other. NICs, CPUs, and HDDs are all interacting and likely causing damage. Finally there are stray parts sprinkled amongst these two both in plastic bags and loose. I'm looking to unify this storage into a controlled chaos. Here are my thoughts: Odds and ends are the easiest. Screws, connectors, and small electronic parts lend themselves perfectly to tackle boxes and jewelry boxes. Since these are usually dynamically compartmentalized I can adjust for the contents and label them on the outside or inside of the lid. Cables are easily wrangled with short velcro strips but that doesn't stop them from being all mixed in together. Hardware is the worst offender. Size, shape, and degree of delicacy changes with nearly every piece. I'm willing to sacrifice a bit of organization for a somewhat efficient manner. What are all your thoughts? What is the best type of tackle or jewelry box to use? Most of them are cheap and flimsy. Is there a better alternative? How can I organize cables to know exactly (within reason) where one is? What about associating cables with hardware (Wall adapter to router, etc.)? What kind of storage unit lends itself to all shapes of hardware? Do I need to separate by size or degree of delicacy for better organization?

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  • Mark Hurd on the Customer Revolution: Oracle's Top 10 Insights

    - by Richard Lefebvre
    Reprint of an article from Forbes Businesses that fail to focus on customer experience will hear a giant sucking sound from their vanishing profitability. Because in today’s dynamic global marketplace, consumers now hold the power in the buyer-seller equation, and sellers need to revamp their strategy for this new world order. The ability to relentlessly deliver connected, personalized and rewarding customer experiences is rapidly becoming one of the primary sources of competitive advantage in today’s dynamic global marketplace. And the inability or unwillingness to realize that the customer is a company’s most important asset will lead, inevitably, to decline and failure. Welcome to the lifecycle of customer experience, in which consumers explore, engage, shop, buy, ask, compare, complain, socialize, exchange, and more across multiple channels with the unconditional expectation that each of those interactions will be completed in an efficient and personalized manner however, wherever, and whenever the customer wants. While many niche companies are offering point solutions within that sprawling and complex spectrum of needs and requirements, businesses looking to deliver superb customer experiences are still left having to do multiple product evaluations, multiple contract negotiations, multiple test projects, multiple deployments, and–perhaps most annoying of all–multiple and never-ending integration projects to string together all those niche products from all those niche vendors. With its new suite of customer-experience solutions, Oracle believes it can help companies unravel these challenges and move at the speed of their customers, anticipating their needs and desires and creating enduring and profitable relationships. Those solutions span the full range of marketing, selling, commerce, service, listening/insights, and social and collaboration tools for employees. When Oracle launched its suite of Customer Experience solutions at a recent event in New York City, president Mark Hurd analyzed the customer experience revolution taking place and presented Oracle’s strategy for empowering companies to capitalize on this important market shift. From Hurd’s presentation and related materials, I’ve extracted a list of Hurd’s Top 10 Insights into the Customer Revolution. 1. Please Don’t Feed the Competitor’s Pipeline!After enduring a poor experience, 89% of consumers say they would immediately take their business to your competitor. (Except where noted, the source for these findings is the 2011 Customer Experience Impact (CEI) Report including a survey commissioned by RightNow (acquired by Oracle in March 2012) and conducted by Harris Interactive.) 2. The Addressable Market Is Massive. Only 1% of consumers say their expectations were always met by their actual experiences. 3. They’re Willing to Pay More! In return for a great experience, 86% of consumers say they’ll pay up to 25% more. 4. The Social Media Microphone Is Always Live. After suffering through a poor experience, more than 25% of consumers said they posted a negative comment on Twitter or Facebook or other social media sites. Conversely, of those consumers who got a response after complaining, 22% posted positive comments about the company. 5.  The New Deal Is Never Done: Embrace the Entire Customer Lifecycle. An appropriately active and engaged relationship, says Hurd, extends across every step of the entire processs: need, research, select, purchase, receive, use, maintain, and recommend. 6. The 360-Degree Commitment. Customers want to do business with companies that actively and openly demonstrate the desire to establish strong and seamless connections across employees, the company, and the customer, says research firm Temkin Group in its report called “The CX Competencies.” 7. Understand the Emotional Drivers Behind Brand Love. What makes consumers fall in love with a brand? Among the top factors are friendly employees and customer reps (73%), easy access to information and support (55%), and personalized experiences, such as when companies know precisely what products or services customers have purchased in the past and what issues those customers have raised (36%). 8.  The Importance of Immediate Action. You’ve got one week to respond–and then the opportunity’s lost. If your company needs more than a week to answer a prospect’s question or request, most of those prospects will terminate the relationship. 9.  Want More Revenue, Less Churn, and More Referrals? Then improve the overall customer experience: Forrester’s research says that approach put an extra $900 million in the pockets of wireless service providers, $800 million for hotels, and $400 million for airlines. 10. The Formula for CX Success.  Hurd says it includes three elegantly interlaced factors: Connected Engagement, to personalize the experience; Actionable Insight, to maximize the engagement; and Optimized Execution, to deliver on the promise of value. RECOMMENDED READING: The Top 10 Strategic CIO Issues For 2013 Wal-Mart, Amazon, eBay: Who’s the Speed King of Retail? Career Suicide and the CIO: 4 Deadly New Threats Memo to Marc Benioff: Social Is a Tool, Not an App

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  • PostgreSQL to Data-Warehouse: Best approach for near-real-time ETL / extraction of data

    - by belvoir
    Background: I have a PostgreSQL (v8.3) database that is heavily optimized for OLTP. I need to extract data from it on a semi real-time basis (some-one is bound to ask what semi real-time means and the answer is as frequently as I reasonably can but I will be pragmatic, as a benchmark lets say we are hoping for every 15min) and feed it into a data-warehouse. How much data? At peak times we are talking approx 80-100k rows per min hitting the OLTP side, off-peak this will drop significantly to 15-20k. The most frequently updated rows are ~64 bytes each but there are various tables etc so the data is quite diverse and can range up to 4000 bytes per row. The OLTP is active 24x5.5. Best Solution? From what I can piece together the most practical solution is as follows: Create a TRIGGER to write all DML activity to a rotating CSV log file Perform whatever transformations are required Use the native DW data pump tool to efficiently pump the transformed CSV into the DW Why this approach? TRIGGERS allow selective tables to be targeted rather than being system wide + output is configurable (i.e. into a CSV) and are relatively easy to write and deploy. SLONY uses similar approach and overhead is acceptable CSV easy and fast to transform Easy to pump CSV into the DW Alternatives considered .... Using native logging (http://www.postgresql.org/docs/8.3/static/runtime-config-logging.html). Problem with this is it looked very verbose relative to what I needed and was a little trickier to parse and transform. However it could be faster as I presume there is less overhead compared to a TRIGGER. Certainly it would make the admin easier as it is system wide but again, I don't need some of the tables (some are used for persistent storage of JMS messages which I do not want to log) Querying the data directly via an ETL tool such as Talend and pumping it into the DW ... problem is the OLTP schema would need tweaked to support this and that has many negative side-effects Using a tweaked/hacked SLONY - SLONY does a good job of logging and migrating changes to a slave so the conceptual framework is there but the proposed solution just seems easier and cleaner Using the WAL Has anyone done this before? Want to share your thoughts?

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  • How to remove music/videos DRM protection and convert to Mobile Devices such as iPod, iPhone, PSP, Z

    - by tonywesley
    The music/video files you purchased from online music stores like iTunes, Yahoo Music or Wal-Mart are under DRM protection. So you can't convert them to the formats supported by your own mobile devices such as Nokia phone, Creative Zen palyer, iPod, PSP, Walkman, Zune… You also can't share your purchased music/videos with your friends. The following step by step tutorial is dedicated to instructing music lovers to how to convert your DRM protected music/videos to mobile devices. Method 1: If you only want to remove DRM protection from your protected music, this method will not spend your money. Step 1: Burn your protected music files to CD-R/RW disc to make an audio CD Step 2: Find a free CD Ripper software to convert the audio CD track back to MP3, WAV, WMA, M4A, AAC, RA… Method 2: This guide will show you how to crack drm from protected wmv, wma, m4p, m4v, m4a, aac files and convert to unprotected WMV, MP4, MP3, WMA or any video and audio formats you like, such as AVI, MP4, Flv, MPEG, MOV, 3GP, m4a, aac, wmv, ogg, wav... I have been using Media Converter software, it is the quickest and easiest solution to remove drm from WMV, M4V, M4P, WMA, M4A, AAC, M4B, AA files by quick recording. It gets audio and video stream at the bottom of operating system, so the output quality is lossless and the conversion speed is fast . The process is as follows. Step 1: Download and install the software Step 2: Run the software and click "Add…" button to load WMA or M4A, M4B, AAC, WMV, M4P, M4V, ASF files Step 3: Choose output formats. If you want to convert protected audio files, please select "Convert audio to" list; If you want to convert protected video files, please select "Convert video to" list. Step 4: You can click "Settings" button to custom preference for output files. Click "Settings" button bellow "Convert audio to" list for protected audio files Click "Settings" button bellow "Convert video to" list for protected video files Step 5: Start remove DRM and convert your DRM protected music and videos by click on "Start" button. What is DRM? DRM, which is most commonly found in movies and music files, doesn't mean just basic copy-protection of video, audio and ebooks, but it basically means full protection for digital content, ranging from delivery to end user's ways to use the content. We can remove the Drm from video and audio files legally by quick recording.

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  • Understanding the value of Customer Experience & Loyalty for the Telecommunications Industry

    - by raul.goycoolea
    Worried by economic woes and market forces, especially in mature markets, communications service providers (CSPs) increasingly focus on improving customer experience. In fact, it seems difficult to find a major message by a C-level executive in the developed world that does not include something on "meeting and exceeding customers' needs". Frequently in customer satisfaction studies by prominent firms, CSPs fall short of the leadership demonstrated by other industries that take customer-centric approaches to their bottom-line strategies. Consider the following:Despite the continued impact of global economic crisis, in July 2010, Apple Computer posted record revenue and net quarterly profit. Those who attribute the results primarily to the iPhone 4 launch should note that Apple also shipped around 30% more Macintosh computers than the same period the previous year. Even sales of the iPod line increased by 8% in a highly commoditized, shrinking media player market. Finally, Apple began selling iPads during the quarter, with total sales of more than 3 million units. What does Apple have that the others lack? Well, some great products (and services) to be sure, but it also excels at customer service and support, marketing, and distribution, and has one of the strongest brands globally. Its products are useful, simple to use, easy to acquire and augment, high quality, and considered very cool. They also evoke such an emotional response from many of Apple's customers, which they turn up their noses at competitive products.In other words, Apple appears to have mastered virtually every aspect of customer experience and the resultant loyalty of its customer base - even in difficult financial times. Through that unwavering customer focus, Apple continues to drive its revenues and profits to new heights. Other customer loyalty leaders like Wal-Mart, Google, Toyota and Honda are also doing well by focusing on customer experience as an essential driver of profitability. Service providers should note this performance and ask themselves how they might leverage the same principles to increase their own profitability. After all, that is what customer experience and loyalty are all about: profitability.To successfully manage all the critical touch points of customer experience, CSPs must shun the one-size-fits-all approach. They can no longer afford to view customer service fundamentally as an act of altruism - which mentality dates back to the industry's civil service days, when CSPs were typically government organizations that were critical to economic development and public safety.As regulators and public officials have pushed, and continue to push, service providers to new heights of reliability - using incentives and punishments - most CSPs already have some of the fundamental building blocks of customer service in place. Yet despite that history and experience, service providers still lag other industries in providing what is seen as good customer service.As we observed in the TMF's 2009 Insights Research report, Customer Experience Management: Driving Loyalty & Profitability there has been resurgence in interest by CSPs. More and more of them have stated ambitions to catch up other industries, and they are realizing that good customer service is a powerful strategy for increasing business performance and profitability, not an act of good will.CSPs are recognizing the connection between customer experience and profitability, as demonstrated in many studies. For example, according to research by Bain & Company, a 5 percent improvement in customer retention rates can yield as much as a 75 percent increase in profits for companies across a range of industries.After decades of customer experience strategy formulation, Bain partner and business author, Frederick Reichheld, considers "would you recommend us to a friend?" as the ultimate question for a customer. How many times have you or your friends recommended an iPod, iPhone or a Mac? What do your children recommend to their peers? Their peers to them?There are certain steps service providers have to take to create more personalized relationships with their customers, as well as reduce churn and increase profitability, all while becoming leaner and more agile. First, they have to define customer experience, we define it as the result of the sum of observations, perceptions, thoughts and feelings arising from interactions and relationships between customers and their service provider(s). Virtually every customer touch point - whether directly or indirectly linked to service providers and their partners - contributes to customer perception, satisfaction, loyalty, and ultimately profitability. Gaining leadership in customer experience and satisfaction will not be a simple task, as it is affected by virtually every customer-facing aspect of the service provider, and in turn impacts the service provider deeply - especially on the all-important bottom line. The scope of issues affecting customer experience is complex and dynamic.With new services, devices and applications extending the basis of customer experience to domains beyond the direct control of the service provider, it is likely to increase in complexity and dynamism.Customer loyalty = increased profitsAs stated earlier, customer experience programs are not fundamentally altruistic exercises, but a strategic means of improving competitiveness and profitability in the short and long term. Loyalty is essential to deriving long term profits from customers.Some of the earliest loyalty programs date back to the 1930s, when packaged goods companies offered embedded coupons for rewards to buyers, and eventually retail chains began offering reward programs to frequent shoppers. These programs continued for decades but were leapfrogged in the 1980s by more aggressive programs from the airlines.This movement was led by American Airlines, which launched the first full-scale loyalty marketing program of the modern era with the AAdvantage frequent flyer scheme. It was the first to reward frequent fliers with notional air miles that could be accumulated and later redeemed for free travel. Figure 1: Opportunities example of Customer loyalty driven profitOther airlines and travel providers were quick to grasp the incredible value of providing customers with an incentive to use their company exclusively. Within a few years, dozens of travel industry companies launched similar initiatives and now loyalty programs are achieving near-ubiquity in many service industries, especially those in which it is difficult to differentiate offerings by product attributes.The belief is that increased profitability will result from customer retention efforts because:•    The cost of acquisition occurs only at the beginning of a relationship: the longer the relationship, the lower the amortized cost;•    Account maintenance costs decline as a percentage of total costs, or as a percentage of revenue, over the lifetime of the relationship;•    Long term customers tend to be less inclined to switch and less price sensitive which can result in stable unit sales volume and increases in dollar-sales volume;•    Long term customers may initiate word-of-mouth promotions and referrals, which cost the company nothing and arguably are the most effective form of advertising;•    Long-term customers are more likely to buy ancillary products and higher margin supplemental products;•    Long term customers tend to be satisfied with their relationship with the company and are less likely to switch to competitors, making market entry or competitors gaining market share difficult;•    Regular customers tend to be less expensive to service, as they are familiar with the processes involved, require less 'education', and are consistent in their order placement;•    Increased customer retention and loyalty makes the employees' jobs easier and more satisfying. In turn, happy employees feed back into higher customer satisfaction in a virtuous circle. Figure 2: The virtuous circle of customer loyaltyFigure 2 represents a high-level example of a virtuous cycle driven by customer satisfaction and loyalty, depicting how superiority in product and service offerings, as well as strong customer support by competent employees, lead to higher sales and ultimately profitability. As stated above, this is not a new concept, but succeeding with it is difficult. It has eluded many a company driven to achieve profitability goals. Of course, for this circle to be virtuous, the customer relationship(s) must be profitable.Trying to maintain the loyalty of unprofitable customers is not a viable business strategy. It is, therefore, important that marketers can assess the profitability of each customer (or customer segment), and either improve or terminate relationships that are not profitable. This means each customer's 'relationship costs' must be understood and compared to their 'relationship revenue'. Customer lifetime value (CLV) is the most commonly used metric here, as it is generally accepted as a representation of exactly how much each customer is worth in monetary terms, and therefore a determinant of exactly how much a service provider should be willing to spend to acquire or retain that customer.CLV models make several simplifying assumptions and often involve the following inputs:•    Churn rate represents the percentage of customers who end their relationship with a company in a given period;•    Retention rate is calculated by subtracting the churn rate percentage from 100;•    Period/horizon equates to the units of time into which a customer relationship can be divided for analysis. A year is the most commonly used period for this purpose. Customer lifetime value is a multi-period calculation, often projecting three to seven years into the future. In practice, analysis beyond this point is viewed as too speculative to be reliable. The model horizon is the number of periods used in the calculation;•    Periodic revenue is the amount of revenue collected from a customer in a given period (though this is often extended across multiple periods into the future to understand lifetime value), such as usage revenue, revenues anticipated from cross and upselling, and often some weighting for referrals by a loyal customer to others; •    Retention cost describes the amount of money the service provider must spend, in a given period, to retain an existing customer. Again, this is often forecast across multiple periods. Retention costs include customer support, billing, promotional incentives and so on;•    Discount rate means the cost of capital used to discount future revenue from a customer. Discounting is an advanced method used in more sophisticated CLV calculations;•    Profit margin is the projected profit as a percentage of revenue for the period. This may be reflected as a percentage of gross or net profit. Again, this is generally projected across the model horizon to understand lifetime value.A strong focus on managing these inputs can help service providers realize stronger customer relationships and profits, but there are some obstacles to overcome in achieving accurate calculations of CLV, such as the complexity of allocating costs across the customer base. There are many costs that serve all customers which must be properly allocated across the base, and often a simple proportional allocation across the whole base or a segment may not accurately reflect the true cost of serving that customer;  This is made worse by the fragmentation of customer information, which is likely to be across a variety of product or operations groups, and may be difficult to aggregate due to different representations.In addition, there is the complexity of account relationships and structures to take into consideration. Complex account structures may not be understood or properly represented. For example, a profitable customer may have a separate account for a second home or another family member, which may appear to be unprofitable. If the service provider cannot relate the two accounts, CLV is not properly represented and any resultant cancellation of the apparently unprofitable account may result in the customer churning from the profitable one.In summary, if service providers are to realize strong customer relationships and their attendant profits, there must be a very strong focus on data management. This needs to be coupled with analytics that help business managers and those who work in customer-facing functions offer highly personalized solutions to customers, while maintaining profitability for the service provider. It's clear that acquiring new customers is expensive. Advertising costs, campaign management expenses, promotional service pricing and discounting, and equipment subsidies make a serious dent in a new customer's profitability. That is especially true given the rising subsidies for Smartphone users, which service providers hope will result in greater profits from profits from data services profitability in future.  The situation is made worse by falling prices and greater competition in mature markets.Customer acquisition through industry consolidation isn't cheap either. A North American service provider spent about $2,000 per subscriber in its acquisition of a smaller company earlier this year. While this has allowed it to leapfrog to become the largest mobile service provider in the country, it required a total investment of more than $28 billion (including assumption of the acquiree's debt).While many operating cost synergies clearly made this deal more attractive to the acquiring company, this is certainly an expensive way to acquire customers: the cost per subscriber in this case is not out of line with the prices others have paid for acquisitions.While growth by acquisition certainly increases overall revenues, it often creates tremendous challenges for profitability. Organic growth through increased customer loyalty and retention is a more effective driver of profit, as well as a stronger predictor of future profitability. Service providers, especially those in mature markets, are increasingly recognizing this and taking steps toward a creating a more personalized, flexible and satisfying experience for their customers.In summary, the clearest path to profitability for companies in virtually all industries is through customer retention and maximization of lifetime value. Service providers would do well to recognize this and focus attention on profitable customer relationships.

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  • How to tune down the Hyperic built-in postgresql database for a small setup

    - by Svish
    We are testing out Hyperic 4.5.1 in a quite small environment for now. Currently there are just 1-5 agents and there probably won't be any more than 10-15. When I run ps ax there are 20(!) postgres processes running. For a small setup like this, that can't be necessary, can it? I'm a software developer and don't have much experience with setting up servers and such though, so don't really know. Either way, what settings are appropriate for a small Hyperic setup like this? Current, default and untouched configuration file, hqdb/data/postgresql.conf: # ----------------------------- # PostgreSQL configuration file # ----------------------------- # # This file consists of lines of the form: # # name = value # # (The '=' is optional.) White space may be used. Comments are introduced # with '#' anywhere on a line. The complete list of option names and # allowed values can be found in the PostgreSQL documentation. The # commented-out settings shown in this file represent the default values. # # Please note that re-commenting a setting is NOT sufficient to revert it # to the default value, unless you restart the server. # # Any option can also be given as a command line switch to the server, # e.g., 'postgres -c log_connections=on'. Some options can be changed at # run-time with the 'SET' SQL command. # # This file is read on server startup and when the server receives a # SIGHUP. If you edit the file on a running system, you have to SIGHUP the # server for the changes to take effect, or use "pg_ctl reload". Some # settings, which are marked below, require a server shutdown and restart # to take effect. # # Memory units: kB = kilobytes MB = megabytes GB = gigabytes # Time units: ms = milliseconds s = seconds min = minutes h = hours d = days #--------------------------------------------------------------------------- # FILE LOCATIONS #--------------------------------------------------------------------------- # The default values of these variables are driven from the -D command line # switch or PGDATA environment variable, represented here as ConfigDir. #data_directory = 'ConfigDir' # use data in another directory # (change requires restart) #hba_file = 'ConfigDir/pg_hba.conf' # host-based authentication file # (change requires restart) #ident_file = 'ConfigDir/pg_ident.conf' # ident configuration file # (change requires restart) # If external_pid_file is not explicitly set, no extra PID file is written. #external_pid_file = '(none)' # write an extra PID file # (change requires restart) #--------------------------------------------------------------------------- # CONNECTIONS AND AUTHENTICATION #--------------------------------------------------------------------------- # - Connection Settings - #listen_addresses = 'localhost' # what IP address(es) to listen on; # comma-separated list of addresses; # defaults to 'localhost', '*' = all # (change requires restart) port = 9432 # (change requires restart) max_connections = 100 # (change requires restart) # Note: increasing max_connections costs ~400 bytes of shared memory per # connection slot, plus lock space (see max_locks_per_transaction). You # might also need to raise shared_buffers to support more connections. #superuser_reserved_connections = 3 # (change requires restart) #unix_socket_directory = '' # (change requires restart) #unix_socket_group = '' # (change requires restart) #unix_socket_permissions = 0777 # octal # (change requires restart) #bonjour_name = '' # defaults to the computer name # (change requires restart) # - Security & Authentication - #authentication_timeout = 1min # 1s-600s #ssl = off # (change requires restart) #password_encryption = on #db_user_namespace = off # Kerberos #krb_server_keyfile = '' # (change requires restart) #krb_srvname = 'postgres' # (change requires restart) #krb_server_hostname = '' # empty string matches any keytab entry # (change requires restart) #krb_caseins_users = off # (change requires restart) # - TCP Keepalives - # see 'man 7 tcp' for details #tcp_keepalives_idle = 0 # TCP_KEEPIDLE, in seconds; # 0 selects the system default #tcp_keepalives_interval = 0 # TCP_KEEPINTVL, in seconds; # 0 selects the system default #tcp_keepalives_count = 0 # TCP_KEEPCNT; # 0 selects the system default #--------------------------------------------------------------------------- # RESOURCE USAGE (except WAL) #--------------------------------------------------------------------------- # - Memory - shared_buffers = 64MB # min 128kB or max_connections*16kB # (change requires restart) #temp_buffers = 8MB # min 800kB #max_prepared_transactions = 5 # can be 0 or more # (change requires restart) # Note: increasing max_prepared_transactions costs ~600 bytes of shared memory # per transaction slot, plus lock space (see max_locks_per_transaction). work_mem = 2MB # min 64kB maintenance_work_mem = 32MB # min 1MB #max_stack_depth = 2MB # min 100kB # - Free Space Map - max_fsm_pages = 204800 # min max_fsm_relations*16, 6 bytes each # (change requires restart) #max_fsm_relations = 1000 # min 100, ~70 bytes each # (change requires restart) # - Kernel Resource Usage - #max_files_per_process = 1000 # min 25 # (change requires restart) #shared_preload_libraries = '' # (change requires restart) # - Cost-Based Vacuum Delay - #vacuum_cost_delay = 0 # 0-1000 milliseconds #vacuum_cost_page_hit = 1 # 0-10000 credits #vacuum_cost_page_miss = 10 # 0-10000 credits #vacuum_cost_page_dirty = 20 # 0-10000 credits #vacuum_cost_limit = 200 # 0-10000 credits # - Background writer - #bgwriter_delay = 200ms # 10-10000ms between rounds #bgwriter_lru_percent = 1.0 # 0-100% of LRU buffers scanned/round #bgwriter_lru_maxpages = 5 # 0-1000 buffers max written/round #bgwriter_all_percent = 0.333 # 0-100% of all buffers scanned/round #bgwriter_all_maxpages = 5 # 0-1000 buffers max written/round #--------------------------------------------------------------------------- # WRITE AHEAD LOG #--------------------------------------------------------------------------- # - Settings - fsync = on # turns forced synchronization on or off #wal_sync_method = fsync # the default is the first option # supported by the operating system: # open_datasync # fdatasync # fsync # fsync_writethrough # open_sync #full_page_writes = on # recover from partial page writes #wal_buffers = 64kB # min 32kB # (change requires restart) commit_delay = 100000 # range 0-100000, in microseconds #commit_siblings = 5 # range 1-1000 # - Checkpoints - checkpoint_segments = 10 # in logfile segments, min 1, 16MB each #checkpoint_timeout = 5min # range 30s-1h #checkpoint_warning = 30s # 0 is off # - Archiving - #archive_command = '' # command to use to archive a logfile segment #archive_timeout = 0 # force a logfile segment switch after this # many seconds; 0 is off #--------------------------------------------------------------------------- # QUERY TUNING #--------------------------------------------------------------------------- # - Planner Method Configuration - #enable_bitmapscan = on #enable_hashagg = on #enable_hashjoin = on #enable_indexscan = on #enable_mergejoin = on #enable_nestloop = on #enable_seqscan = on #enable_sort = on #enable_tidscan = on # - Planner Cost Constants - #seq_page_cost = 1.0 # measured on an arbitrary scale #random_page_cost = 4.0 # same scale as above #cpu_tuple_cost = 0.01 # same scale as above #cpu_index_tuple_cost = 0.005 # same scale as above #cpu_operator_cost = 0.0025 # same scale as above #effective_cache_size = 128MB # - Genetic Query Optimizer - #geqo = on #geqo_threshold = 12 #geqo_effort = 5 # range 1-10 #geqo_pool_size = 0 # selects default based on effort #geqo_generations = 0 # selects default based on effort #geqo_selection_bias = 2.0 # range 1.5-2.0 # - Other Planner Options - #default_statistics_target = 10 # range 1-1000 #constraint_exclusion = off #from_collapse_limit = 8 #join_collapse_limit = 8 # 1 disables collapsing of explicit # JOINs #--------------------------------------------------------------------------- # ERROR REPORTING AND LOGGING #--------------------------------------------------------------------------- # - Where to Log - log_destination = 'stderr' # Valid values are combinations of # stderr, syslog and eventlog, # depending on platform. # This is used when logging to stderr: redirect_stderr = on # Enable capturing of stderr into log # files # (change requires restart) # These are only used if redirect_stderr is on: log_directory = '../../logs' # Directory where log files are written # Can be absolute or relative to PGDATA log_filename = 'hqdb-%Y-%m-%d.log' # Log file name pattern. # Can include strftime() escapes #log_truncate_on_rotation = off # If on, any existing log file of the same # name as the new log file will be # truncated rather than appended to. But # such truncation only occurs on # time-driven rotation, not on restarts # or size-driven rotation. Default is # off, meaning append to existing files # in all cases. log_rotation_age = 1d # Automatic rotation of logfiles will # happen after that time. 0 to # disable. #log_rotation_size = 10MB # Automatic rotation of logfiles will # happen after that much log # output. 0 to disable. # These are relevant when logging to syslog: #syslog_facility = 'LOCAL0' #syslog_ident = 'postgres' # - When to Log - #client_min_messages = notice # Values, in order of decreasing detail: # debug5 # debug4 # debug3 # debug2 # debug1 # log # notice # warning # error #log_min_messages = notice # Values, in order of decreasing detail: # debug5 # debug4 # debug3 # debug2 # debug1 # info # notice # warning # error # log # fatal # panic #log_error_verbosity = default # terse, default, or verbose messages #log_min_error_statement = error # Values in order of increasing severity: # debug5 # debug4 # debug3 # debug2 # debug1 # info # notice # warning # error # fatal # panic (effectively off) log_min_duration_statement = 10000 # -1 is disabled, 0 logs all statements # and their durations. #silent_mode = off # DO NOT USE without syslog or # redirect_stderr # (change requires restart) # - What to Log - #debug_print_parse = off #debug_print_rewritten = off #debug_print_plan = off #debug_pretty_print = off #log_connections = off #log_disconnections = off #log_duration = off #log_line_prefix = '' # Special values: # %u = user name # %d = database name # %r = remote host and port # %h = remote host # %p = PID # %t = timestamp (no milliseconds) # %m = timestamp with milliseconds # %i = command tag # %c = session id # %l = session line number # %s = session start timestamp # %x = transaction id # %q = stop here in non-session # processes # %% = '%' # e.g. '<%u%%%d> ' #log_statement = 'none' # none, ddl, mod, all #log_hostname = off #--------------------------------------------------------------------------- # RUNTIME STATISTICS #--------------------------------------------------------------------------- # - Query/Index Statistics Collector - #stats_command_string = on #update_process_title = on stats_start_collector = on # needed for block or row stats # (change requires restart) stats_block_level = on stats_row_level = on stats_reset_on_server_start = off # (change requires restart) # - Statistics Monitoring - #log_parser_stats = off #log_planner_stats = off #log_executor_stats = off #log_statement_stats = off #--------------------------------------------------------------------------- # AUTOVACUUM PARAMETERS #--------------------------------------------------------------------------- #autovacuum = off # enable autovacuum subprocess? # 'on' requires stats_start_collector # and stats_row_level to also be on #autovacuum_naptime = 1min # time between autovacuum runs #autovacuum_vacuum_threshold = 500 # min # of tuple updates before # vacuum #autovacuum_analyze_threshold = 250 # min # of tuple updates before # analyze #autovacuum_vacuum_scale_factor = 0.2 # fraction of rel size before # vacuum #autovacuum_analyze_scale_factor = 0.1 # fraction of rel size before # analyze #autovacuum_freeze_max_age = 200000000 # maximum XID age before forced vacuum # (change requires restart) #autovacuum_vacuum_cost_delay = -1 # default vacuum cost delay for # autovacuum, -1 means use # vacuum_cost_delay #autovacuum_vacuum_cost_limit = -1 # default vacuum cost limit for # autovacuum, -1 means use # vacuum_cost_limit #--------------------------------------------------------------------------- # CLIENT CONNECTION DEFAULTS #--------------------------------------------------------------------------- # - Statement Behavior - #search_path = '"$user",public' # schema names #default_tablespace = '' # a tablespace name, '' uses # the default #check_function_bodies = on #default_transaction_isolation = 'read committed' #default_transaction_read_only = off #statement_timeout = 0 # 0 is disabled #vacuum_freeze_min_age = 100000000 # - Locale and Formatting - datestyle = 'iso, mdy' #timezone = unknown # actually, defaults to TZ # environment setting #timezone_abbreviations = 'Default' # select the set of available timezone # abbreviations. Currently, there are # Default # Australia # India # However you can also create your own # file in share/timezonesets/. #extra_float_digits = 0 # min -15, max 2 #client_encoding = sql_ascii # actually, defaults to database # encoding # These settings are initialized by initdb -- they might be changed lc_messages = 'C' # locale for system error message # strings lc_monetary = 'C' # locale for monetary formatting lc_numeric = 'C' # locale for number formatting lc_time = 'C' # locale for time formatting # - Other Defaults - #explain_pretty_print = on #dynamic_library_path = '$libdir' #local_preload_libraries = '' #--------------------------------------------------------------------------- # LOCK MANAGEMENT #--------------------------------------------------------------------------- #deadlock_timeout = 1s #max_locks_per_transaction = 64 # min 10 # (change requires restart) # Note: each lock table slot uses ~270 bytes of shared memory, and there are # max_locks_per_transaction * (max_connections + max_prepared_transactions) # lock table slots. #--------------------------------------------------------------------------- # VERSION/PLATFORM COMPATIBILITY #--------------------------------------------------------------------------- # - Previous Postgres Versions - #add_missing_from = off #array_nulls = on #backslash_quote = safe_encoding # on, off, or safe_encoding #default_with_oids = off #escape_string_warning = on #standard_conforming_strings = off #regex_flavor = advanced # advanced, extended, or basic #sql_inheritance = on # - Other Platforms & Clients - #transform_null_equals = off #--------------------------------------------------------------------------- # CUSTOMIZED OPTIONS #--------------------------------------------------------------------------- #custom_variable_classes = '' # list of custom variable class names SELECT * FROM pg_stat_activity; datid | datname | procpid | usesysid | usename | current_query | waiting | query_start | backend_start | client_addr | client_port -------+---------+---------+----------+---------+---------------------------------+---------+-------------------------------+-------------------------------+-------------+------------- 16384 | hqdb | 3267 | 10 | hqadmin | <IDLE> | f | 2011-02-08 15:51:20.036781+01 | 2011-02-08 15:51:20.02413+01 | 127.0.0.1 | 47892 16384 | hqdb | 3268 | 10 | hqadmin | <IDLE> | f | 2011-02-08 15:51:20.050994+01 | 2011-02-08 15:51:20.047393+01 | 127.0.0.1 | 47893 16384 | hqdb | 3269 | 10 | hqadmin | <IDLE> | f | 2011-02-08 15:51:20.056661+01 | 2011-02-08 15:51:20.053201+01 | 127.0.0.1 | 47894 16384 | hqdb | 3271 | 10 | hqadmin | <IDLE> | f | 2011-02-08 15:51:20.062351+01 | 2011-02-08 15:51:20.058822+01 | 127.0.0.1 | 47895 16384 | hqdb | 3272 | 10 | hqadmin | <IDLE> | f | 2011-02-08 15:51:20.068328+01 | 2011-02-08 15:51:20.064517+01 | 127.0.0.1 | 47896 16384 | hqdb | 3273 | 10 | hqadmin | <IDLE> | f | 2011-02-08 15:51:20.07444+01 | 2011-02-08 15:51:20.070755+01 | 127.0.0.1 | 47897 16384 | hqdb | 3274 | 10 | hqadmin | <IDLE> | f | 2011-02-08 15:51:20.080941+01 | 2011-02-08 15:51:20.076983+01 | 127.0.0.1 | 47898 16384 | hqdb | 3275 | 10 | hqadmin | <IDLE> | f | 2011-02-08 15:51:20.08741+01 | 2011-02-08 15:51:20.083697+01 | 127.0.0.1 | 47899 16384 | hqdb | 3276 | 10 | hqadmin | <IDLE> | f | 2011-02-08 15:51:20.093597+01 | 2011-02-08 15:51:20.089977+01 | 127.0.0.1 | 47900 16384 | hqdb | 3277 | 10 | hqadmin | <IDLE> in transaction | f | 2011-02-08 15:51:20.133974+01 | 2011-02-08 15:51:20.096149+01 | 127.0.0.1 | 47901 16384 | hqdb | 3308 | 10 | hqadmin | <IDLE> | f | 2011-02-09 10:49:27.402197+01 | 2011-02-08 15:51:29.826321+01 | 127.0.0.1 | 47902 16384 | hqdb | 3309 | 10 | hqadmin | <IDLE> | f | 2011-02-08 15:51:55.572395+01 | 2011-02-08 15:51:29.865243+01 | 127.0.0.1 | 47903 16384 | hqdb | 3310 | 10 | hqadmin | <IDLE> | f | 2011-02-08 15:51:55.586273+01 | 2011-02-08 15:51:29.874346+01 | 127.0.0.1 | 47904 16384 | hqdb | 3311 | 10 | hqadmin | <IDLE> | f | 2011-02-09 10:10:03.024088+01 | 2011-02-08 15:51:29.883598+01 | 127.0.0.1 | 47905 16384 | hqdb | 3312 | 10 | hqadmin | <IDLE> in transaction | f | 2011-02-08 15:51:35.804457+01 | 2011-02-08 15:51:29.892925+01 | 127.0.0.1 | 47906 16384 | hqdb | 3418 | 10 | hqadmin | <IDLE> | f | 2011-02-08 15:51:55.580207+01 | 2011-02-08 15:51:55.56911+01 | 127.0.0.1 | 47910 16384 | hqdb | 3419 | 10 | hqadmin | <IDLE> | f | 2011-02-08 15:51:55.59781+01 | 2011-02-08 15:51:55.588609+01 | 127.0.0.1 | 47911 16384 | hqdb | 3422 | 10 | hqadmin | <IDLE> | f | 2011-02-09 10:10:02.668836+01 | 2011-02-08 15:51:55.603076+01 | 127.0.0.1 | 47914 16384 | hqdb | 3421 | 10 | hqadmin | <IDLE> | f | 2011-02-08 15:51:55.770427+01 | 2011-02-08 15:51:55.603086+01 | 127.0.0.1 | 47913 16384 | hqdb | 3420 | 10 | hqadmin | <IDLE> | f | 2011-02-08 15:51:55.680785+01 | 2011-02-08 15:51:55.637058+01 | 127.0.0.1 | 47912 16384 | hqdb | 18233 | 10 | hqadmin | SELECT * FROM pg_stat_activity; | f | 2011-02-09 10:49:29.688949+01 | 2011-02-09 10:48:13.031475+01 | | -1 (21 rows)

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  • Postgres cannot connect to server

    - by user1408935
    Super stumped by why Postgres isn't working on a new app I just started. I've got it working for one app already. I'm using postgres.app, and it's running. I started a new app with rails new depot -d postgresql and then I went into the database.yml file and changed username to my $USER (which is what it is for the other app, which is working). So now my database.yml file has this development section: development: adapter: postgresql encoding: unicode database: depot_development pool: 5 username: <username> password: But when I run "rake db:create" or "rake db:create:all" I still got this error (in full, cause I don't know what's relevant): Couldn't create database for {"adapter"=>"postgresql", "encoding"=>"unicode", "database"=>"depot_development", "pool"=>5, "username"=>"<username>", "password"=>nil} could not connect to server: Permission denied Is the server running locally and accepting connections on Unix domain socket "/var/pgsql_socket/.s.PGSQL.5432"? /Users/<username>/.rvm/gems/ruby-1.9.3-p194/gems/activerecord-3.2.8/lib/active_record/connection_adapters/postgresql_adapter.rb:1213:in `initialize' /Users/<username>/.rvm/gems/ruby-1.9.3-p194/gems/activerecord-3.2.8/lib/active_record/connection_adapters/postgresql_adapter.rb:1213:in `new' /Users/<username>/.rvm/gems/ruby-1.9.3-p194/gems/activerecord-3.2.8/lib/active_record/connection_adapters/postgresql_adapter.rb:1213:in `connect' /Users/<username>/.rvm/gems/ruby-1.9.3-p194/gems/activerecord-3.2.8/lib/active_record/connection_adapters/postgresql_adapter.rb:329:in `initialize' /Users/<username>/.rvm/gems/ruby-1.9.3-p194/gems/activerecord-3.2.8/lib/active_record/connection_adapters/postgresql_adapter.rb:28:in `new' /Users/<username>/.rvm/gems/ruby-1.9.3-p194/gems/activerecord-3.2.8/lib/active_record/connection_adapters/postgresql_adapter.rb:28:in `postgresql_connection' /Users/<username>/.rvm/gems/ruby-1.9.3-p194/gems/activerecord-3.2.8/lib/active_record/connection_adapters/abstract/connection_pool.rb:309:in `new_connection' /Users/<username>/.rvm/gems/ruby-1.9.3-p194/gems/activerecord-3.2.8/lib/active_record/connection_adapters/abstract/connection_pool.rb:319:in `checkout_new_connection' /Users/<username>/.rvm/gems/ruby-1.9.3-p194/gems/activerecord-3.2.8/lib/active_record/connection_adapters/abstract/connection_pool.rb:241:in `block (2 levels) in checkout' /Users/<username>/.rvm/gems/ruby-1.9.3-p194/gems/activerecord-3.2.8/lib/active_record/connection_adapters/abstract/connection_pool.rb:236:in `loop' /Users/<username>/.rvm/gems/ruby-1.9.3-p194/gems/activerecord-3.2.8/lib/active_record/connection_adapters/abstract/connection_pool.rb:236:in `block in checkout' /Users/<username>/.rvm/rubies/ruby-1.9.3-p194/lib/ruby/1.9.1/monitor.rb:211:in `mon_synchronize' /Users/<username>/.rvm/gems/ruby-1.9.3-p194/gems/activerecord-3.2.8/lib/active_record/connection_adapters/abstract/connection_pool.rb:233:in `checkout' /Users/<username>/.rvm/gems/ruby-1.9.3-p194/gems/activerecord-3.2.8/lib/active_record/connection_adapters/abstract/connection_pool.rb:96:in `block in connection' /Users/<username>/.rvm/rubies/ruby-1.9.3-p194/lib/ruby/1.9.1/monitor.rb:211:in `mon_synchronize' /Users/<username>/.rvm/gems/ruby-1.9.3-p194/gems/activerecord-3.2.8/lib/active_record/connection_adapters/abstract/connection_pool.rb:95:in `connection' /Users/<username>/.rvm/gems/ruby-1.9.3-p194/gems/activerecord-3.2.8/lib/active_record/connection_adapters/abstract/connection_pool.rb:404:in `retrieve_connection' /Users/<username>/.rvm/gems/ruby-1.9.3-p194/gems/activerecord-3.2.8/lib/active_record/connection_adapters/abstract/connection_specification.rb:170:in `retrieve_connection' /Users/<username>/.rvm/gems/ruby-1.9.3-p194/gems/activerecord-3.2.8/lib/active_record/connection_adapters/abstract/connection_specification.rb:144:in `connection' /Users/<username>/.rvm/gems/ruby-1.9.3-p194/gems/activerecord-3.2.8/lib/active_record/railties/databases.rake:107:in `rescue in create_database' /Users/<username>/.rvm/gems/ruby-1.9.3-p194/gems/activerecord-3.2.8/lib/active_record/railties/databases.rake:51:in `create_database' /Users/<username>/.rvm/gems/ruby-1.9.3-p194/gems/activerecord-3.2.8/lib/active_record/railties/databases.rake:40:in `block (3 levels) in <top (required)>' /Users/<username>/.rvm/gems/ruby-1.9.3-p194/gems/activerecord-3.2.8/lib/active_record/railties/databases.rake:40:in `each' /Users/<username>/.rvm/gems/ruby-1.9.3-p194/gems/activerecord-3.2.8/lib/active_record/railties/databases.rake:40:in `block (2 levels) in <top (required)>' /Users/<username>/.rvm/gems/ruby-1.9.3-p194@global/gems/rake-0.9.2.2/lib/rake/task.rb:205:in `call' /Users/<username>/.rvm/gems/ruby-1.9.3-p194@global/gems/rake-0.9.2.2/lib/rake/task.rb:205:in `block in execute' /Users/<username>/.rvm/gems/ruby-1.9.3-p194@global/gems/rake-0.9.2.2/lib/rake/task.rb:200:in `each' /Users/<username>/.rvm/gems/ruby-1.9.3-p194@global/gems/rake-0.9.2.2/lib/rake/task.rb:200:in `execute' /Users/<username>/.rvm/gems/ruby-1.9.3-p194@global/gems/rake-0.9.2.2/lib/rake/task.rb:158:in `block in invoke_with_call_chain' /Users/<username>/.rvm/rubies/ruby-1.9.3-p194/lib/ruby/1.9.1/monitor.rb:211:in `mon_synchronize' /Users/<username>/.rvm/gems/ruby-1.9.3-p194@global/gems/rake-0.9.2.2/lib/rake/task.rb:151:in `invoke_with_call_chain' /Users/<username>/.rvm/gems/ruby-1.9.3-p194@global/gems/rake-0.9.2.2/lib/rake/task.rb:144:in `invoke' /Users/<username>/.rvm/gems/ruby-1.9.3-p194@global/gems/rake-0.9.2.2/lib/rake/application.rb:116:in `invoke_task' /Users/<username>/.rvm/gems/ruby-1.9.3-p194@global/gems/rake-0.9.2.2/lib/rake/application.rb:94:in `block (2 levels) in top_level' /Users/<username>/.rvm/gems/ruby-1.9.3-p194@global/gems/rake-0.9.2.2/lib/rake/application.rb:94:in `each' /Users/<username>/.rvm/gems/ruby-1.9.3-p194@global/gems/rake-0.9.2.2/lib/rake/application.rb:94:in `block in top_level' /Users/<username>/.rvm/gems/ruby-1.9.3-p194@global/gems/rake-0.9.2.2/lib/rake/application.rb:133:in `standard_exception_handling' /Users/<username>/.rvm/gems/ruby-1.9.3-p194@global/gems/rake-0.9.2.2/lib/rake/application.rb:88:in `top_level' /Users/<username>/.rvm/gems/ruby-1.9.3-p194@global/gems/rake-0.9.2.2/lib/rake/application.rb:66:in `block in run' /Users/<username>/.rvm/gems/ruby-1.9.3-p194@global/gems/rake-0.9.2.2/lib/rake/application.rb:133:in `standard_exception_handling' /Users/<username>/.rvm/gems/ruby-1.9.3-p194@global/gems/rake-0.9.2.2/lib/rake/application.rb:63:in `run' /Users/<username>/.rvm/gems/ruby-1.9.3-p194@global/gems/rake-0.9.2.2/bin/rake:33:in `<top (required)>' /Users/<username>/.rvm/gems/ruby-1.9.3-p194@global/bin/rake:19:in `load' /Users/<username>/.rvm/gems/ruby-1.9.3-p194@global/bin/rake:19:in `<main>' /Users/<username>/.rvm/gems/ruby-1.9.3-p194/bin/ruby_noexec_wrapper:14:in `eval' /Users/<username>/.rvm/gems/ruby-1.9.3-p194/bin/ruby_noexec_wrapper:14:in `<main>' Couldn't create database for {"adapter"=>"postgresql", "encoding"=>"unicode", "database"=>"depot_test", "pool"=>5, "username"=>"<username>", "password"=>nil} I have tried createdb depot_development I have tried going into the psql environment and listing users (which included my username among them). In the same psql environment, I tried CREATE DATABASE depot; I've made sure that the pg gem is installed with bundle install, I've run "pg_ctl start", to which I got this response: pg_ctl: no database directory specified and environment variable PGDATA unset I ran "ps aux | grep postgres" to make sure postgres was running, to which I got this in return (which looks like it's doing OK, right?): <username> 10390 0.4 0.0 2425480 180 s000 R+ 6:15PM 0:00.00 grep postgres <username> 2907 0.0 0.0 2441604 464 ?? Ss 6:17PM 0:02.31 postgres: stats collector process <username> 2906 0.0 0.0 2445520 1664 ?? Ss 6:17PM 0:02.33 postgres: autovacuum launcher process <username> 2905 0.0 0.0 2445388 600 ?? Ss 6:17PM 0:09.25 postgres: wal writer process <username> 2904 0.0 0.0 2445388 1252 ?? Ss 6:17PM 0:12.08 postgres: writer process <username> 2902 0.0 0.0 2445388 3688 ?? S 6:17PM 0:00.54 /Applications/Postgres.app/Contents/MacOS/bin/postgres -D /Users/<username>/Library/Application Support/Postgres/var -p5432 The short of it, is I've been troubleshooting for a WHILE and have NO idea what's wrong. Any ideas? I'd really appreciate it, cause I'm pretty new to Rails, and this is a pretty disheartening roadblock. Thanks! EDIT -- Per request, posting the successful database.yml . It seems the difference is the inclusion of a password: development: adapter: postgresql encoding: unicode database: *******_development pool: 5 username: ******* password: ******* EDIT2 -- When I add a password to the .yml file, then run rake db:create again, I get this error. rake aborted! No Rakefile found (looking for: rakefile, Rakefile, rakefile.rb, Rakefile.rb)

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  • add a from to backup routine

    - by Gerard Flynn
    hi how do you put a process bar and button onto this code i have class and want to add a gui on to the code using System; using System.Collections.Generic; using System.ComponentModel; using System.Data; using System.Drawing; using System.Text; using System.Windows.Forms; using System.Data.SqlClient; using System.IO; using System.Threading; using Tamir.SharpSsh; using System.Security.Cryptography; using ICSharpCode.SharpZipLib.Checksums; using ICSharpCode.SharpZipLib.Zip; using ICSharpCode.SharpZipLib.GZip; namespace backup { public partial class Form1 : Form { public Form1() { InitializeComponent(); } /// <summary> /// Summary description for Class1. /// </summary> public class Backup { private string dbName; private string dbUsername; private string dbPassword; private static string baseDir; private string backupName; private static bool isBackup; private string keyString; private string ivString; private string[] backupDirs = new string[0]; private string[] excludeDirs = new string[0]; private ZipOutputStream zipOutputStream; private string backupFile; private string zipFile; private string encryptedFile; static void Main() { Backup.Log("BackupUtility loaded"); try { new Backup(); if (!isBackup) MessageBox.Show("Restore complete"); } catch (Exception e) { Backup.Log(e.ToString()); if (!isBackup) MessageBox.Show("Error restoring!\r\n" + e.Message); } } private void LoadAppSettings() { this.backupName = System.Configuration.ConfigurationSettings.AppSettings["BackupName"].ToString(); this.dbName = System.Configuration.ConfigurationSettings.AppSettings["DBName"].ToString(); this.dbUsername = System.Configuration.ConfigurationSettings.AppSettings["DBUsername"].ToString(); this.dbPassword = System.Configuration.ConfigurationSettings.AppSettings["DBPassword"].ToString(); //default to using where we are executing this assembly from Backup.baseDir = System.Reflection.Assembly.GetExecutingAssembly().Location.Substring(0, System.Reflection.Assembly.GetExecutingAssembly().Location.LastIndexOf("\\")) + "\\"; Backup.isBackup = bool.Parse(System.Configuration.ConfigurationSettings.AppSettings["IsBackup"].ToString()); this.keyString = System.Configuration.ConfigurationSettings.AppSettings["KeyString"].ToString(); this.ivString = System.Configuration.ConfigurationSettings.AppSettings["IVString"].ToString(); this.backupDirs = GetSetting("BackupDirs", ','); this.excludeDirs = GetSetting("ExcludeDirs", ','); } private string[] GetSetting(string settingName, char delimiter) { if (System.Configuration.ConfigurationSettings.AppSettings[settingName] != null) { string settingVal = System.Configuration.ConfigurationSettings.AppSettings[settingName].ToString(); if (settingVal.Length > 0) return settingVal.Split(delimiter); } return new string[0]; } public Backup() { this.LoadAppSettings(); if (isBackup) this.DoBackup(); else this.DoRestore(); Log("Finished"); } private void DoRestore() { System.Windows.Forms.OpenFileDialog fileDialog = new System.Windows.Forms.OpenFileDialog(); fileDialog.Title = "Choose .encrypted file"; fileDialog.Filter = "Encrypted files (*.encrypted)|*.encrypted|All files (*.*)|*.*"; fileDialog.InitialDirectory = Backup.baseDir; if (fileDialog.ShowDialog() == System.Windows.Forms.DialogResult.OK) { //string encryptedFile = GetFileName("encrypted"); string encryptedFile = fileDialog.FileName; string decryptedFile = this.GetDecryptedFilename(encryptedFile); //string originalFile = GetFileName("original"); this.Decrypt(encryptedFile, decryptedFile); //this.UnzipFile(decryptedFile, originalFile); } } //use the same filename as the backup except replace ".encrypted" with ".decrypted.zip" private string GetDecryptedFilename(string encryptedFile) { string name = encryptedFile.Substring(0, encryptedFile.LastIndexOf(".")); name += ".decrypted.zip"; return name; } private void DoBackup() { this.backupFile = GetFileName("bak"); this.zipFile = GetFileName("zip"); this.encryptedFile = GetFileName("encrypted"); this.DeleteFiles(); this.zipOutputStream = new ZipOutputStream(File.Create(zipFile)); try { //backup database first if (this.dbName.Length > 0) { this.BackupDB(backupFile); this.ZipFile(backupFile, this.GetName(backupFile)); } //zip any directories specified in config file this.ZipUserSpecifiedFilesAndDirectories(this.backupDirs); } finally { this.zipOutputStream.Finish(); this.zipOutputStream.Close(); } this.Encrypt(zipFile, encryptedFile); this.SCPFile(encryptedFile); this.DeleteFiles(); } /// <summary> /// Deletes any files created by the backup process, namely the DB backup file, /// the zip of all files backuped up, and the encrypred zip file /// </summary> private void DeleteFiles() { File.Delete(this.backupFile); File.Delete(this.zipFile); ///File.Delete(this.encryptedFile); } private void ZipUserSpecifiedFilesAndDirectories(string[] fileNames) { foreach (string fileName in fileNames) { string name = fileName.Trim(); if (name.Length > 0) { Log("Zipping " + name); this.ZipFile(name, this.GetNameFromDir(name)); } } } private void SCPFile(string inputPath) { string sshServer = System.Configuration.ConfigurationSettings.AppSettings["SSHServer"].ToString(); string sshUsername = System.Configuration.ConfigurationSettings.AppSettings["SSHUsername"].ToString(); string sshPassword = System.Configuration.ConfigurationSettings.AppSettings["SSHPassword"].ToString(); if (sshServer.Length > 0 && sshUsername.Length > 0 && sshPassword.Length > 0) { Scp scp = new Scp(sshServer, sshUsername, sshPassword); //Copy a file from local machine to remote SSH server scp.Connect(); Log("Connected to " + sshServer); //scp.Put(inputPath, "/home/wal/temp.txt"); scp.Put(inputPath, GetName(inputPath)); scp.Close(); } else { Log("Not SCP as missing login details"); } } private string GetName(string inputPath) { FileInfo info = new FileInfo(inputPath); return info.Name; } private string GetNameFromDir(string inputPath) { DirectoryInfo info = new DirectoryInfo(inputPath); return info.Name; } private static void Log(string msg) { try { string toLog = DateTime.Now.ToString() + ": " + msg; System.Diagnostics.Debug.WriteLine(toLog); System.IO.FileStream fs = new System.IO.FileStream(baseDir + "app.log", System.IO.FileMode.OpenOrCreate, System.IO.FileAccess.ReadWrite); System.IO.StreamWriter m_streamWriter = new System.IO.StreamWriter(fs); m_streamWriter.BaseStream.Seek(0, System.IO.SeekOrigin.End); m_streamWriter.WriteLine(toLog); m_streamWriter.Flush(); m_streamWriter.Close(); fs.Close(); } catch (Exception e) { Console.WriteLine(e.ToString()); } } private byte[] GetFileBytes(string path) { FileStream stream = new FileStream(path, FileMode.Open); byte[] bytes = new byte[stream.Length]; stream.Read(bytes, 0, bytes.Length); stream.Close(); return bytes; } private void WriteFileBytes(byte[] bytes, string path) { FileStream stream = new FileStream(path, FileMode.Create); stream.Write(bytes, 0, bytes.Length); stream.Close(); } private void UnzipFile(string inputPath, string outputPath) { ZipInputStream zis = new ZipInputStream(File.OpenRead(inputPath)); ZipEntry theEntry = zis.GetNextEntry(); FileStream streamWriter = File.Create(outputPath); int size = 2048; byte[] data = new byte[2048]; while (true) { size = zis.Read(data, 0, data.Length); if (size > 0) { streamWriter.Write(data, 0, size); } else { break; } } streamWriter.Close(); zis.Close(); } private bool ExcludeDir(string dirName) { foreach (string excludeDir in this.excludeDirs) { if (dirName == excludeDir) return true; } return false; } private void ZipFile(string inputPath, string zipName) { FileAttributes fa = File.GetAttributes(inputPath); if ((fa & FileAttributes.Directory) != 0) { string dirName = zipName + "/"; ZipEntry entry1 = new ZipEntry(dirName); this.zipOutputStream.PutNextEntry(entry1); string[] subDirs = Directory.GetDirectories(inputPath); //create directories first foreach (string subDir in subDirs) { DirectoryInfo info = new DirectoryInfo(subDir); string name = info.Name; if (this.ExcludeDir(name)) Log("Excluding " + dirName + name); else this.ZipFile(subDir, dirName + name); } //then store files string[] fileNames = Directory.GetFiles(inputPath); foreach (string fileName in fileNames) { FileInfo info = new FileInfo(fileName); string name = info.Name; this.ZipFile(fileName, dirName + name); } } else { Crc32 crc = new Crc32(); this.zipOutputStream.SetLevel(6); // 0 - store only to 9 - means best compression FileStream fs = null; try { fs = File.OpenRead(inputPath); } catch (IOException ioEx) { Log("WARNING! " + ioEx.Message);//might be in use, skip file in this case } if (fs != null) { byte[] buffer = new byte[fs.Length]; fs.Read(buffer, 0, buffer.Length); ZipEntry entry = new ZipEntry(zipName); entry.DateTime = DateTime.Now; // set Size and the crc, because the information // about the size and crc should be stored in the header // if it is not set it is automatically written in the footer. // (in this case size == crc == -1 in the header) // Some ZIP programs have problems with zip files that don't store // the size and crc in the header. entry.Size = fs.Length; fs.Close(); crc.Reset(); crc.Update(buffer); entry.Crc = crc.Value; this.zipOutputStream.PutNextEntry(entry); this.zipOutputStream.Write(buffer, 0, buffer.Length); } } } private void Encrypt(string inputPath, string outputPath) { RijndaelManaged rijndaelManaged = new RijndaelManaged(); byte[] encrypted; byte[] toEncrypt; //Create a new key and initialization vector. //myRijndael.GenerateKey(); //myRijndael.GenerateIV(); /*des.GenerateKey(); des.GenerateIV(); string temp1 = Convert.ToBase64String(des.Key); string temp2 = Convert.ToBase64String(des.IV);*/ //Get the key and IV. byte[] key = Convert.FromBase64String(keyString); byte[] IV = Convert.FromBase64String(ivString); //Get an encryptor. ICryptoTransform encryptor = rijndaelManaged.CreateEncryptor(key, IV); //Encrypt the data. MemoryStream msEncrypt = new MemoryStream(); CryptoStream csEncrypt = new CryptoStream(msEncrypt, encryptor, CryptoStreamMode.Write); //Convert the data to a byte array. toEncrypt = this.GetFileBytes(inputPath); //Write all data to the crypto stream and flush it. csEncrypt.Write(toEncrypt, 0, toEncrypt.Length); csEncrypt.FlushFinalBlock(); //Get encrypted array of bytes. encrypted = msEncrypt.ToArray(); WriteFileBytes(encrypted, outputPath); } private void Decrypt(string inputPath, string outputPath) { RijndaelManaged myRijndael = new RijndaelManaged(); //DES des = new DESCryptoServiceProvider(); byte[] key = Convert.FromBase64String(keyString); byte[] IV = Convert.FromBase64String(ivString); byte[] encrypted = this.GetFileBytes(inputPath); byte[] fromEncrypt; //Get a decryptor that uses the same key and IV as the encryptor. ICryptoTransform decryptor = myRijndael.CreateDecryptor(key, IV); //Now decrypt the previously encrypted message using the decryptor // obtained in the above step. MemoryStream msDecrypt = new MemoryStream(encrypted); CryptoStream csDecrypt = new CryptoStream(msDecrypt, decryptor, CryptoStreamMode.Read); fromEncrypt = new byte[encrypted.Length]; //Read the data out of the crypto stream. int bytesRead = csDecrypt.Read(fromEncrypt, 0, fromEncrypt.Length); byte[] readBytes = new byte[bytesRead]; Array.Copy(fromEncrypt, 0, readBytes, 0, bytesRead); this.WriteFileBytes(readBytes, outputPath); } private string GetFileName(string extension) { return baseDir + backupName + "_" + DateTime.Now.ToString("yyyyMMdd") + "." + extension; } private void BackupDB(string backupPath) { string sql = @"DECLARE @Date VARCHAR(300), @Dir VARCHAR(4000) --Get today date SET @Date = CONVERT(VARCHAR, GETDATE(), 112) --Set the directory where the back up file is stored SET @Dir = '"; sql += backupPath; sql += @"' --create a 'device' to write to first EXEC sp_addumpdevice 'disk', 'temp_device', @Dir --now do the backup BACKUP DATABASE " + this.dbName; sql += @" TO temp_device WITH FORMAT --Drop the device EXEC sp_dropdevice 'temp_device' "; //Console.WriteLine("sql="+sql); Backup.Log("Starting backup of " + this.dbName); ExecuteSQL(sql); } /// <summary> /// Executes the specified SQL /// Returns true if no errors were encountered during execution /// </summary> /// <param name="procedureName"></param> private void ExecuteSQL(string sql) { SqlConnection conn = new SqlConnection(this.GetDBConnectString()); try { SqlCommand comm = new SqlCommand(sql, conn); conn.Open(); comm.ExecuteNonQuery(); } finally { conn.Close(); } } private string GetDBConnectString() { StringBuilder builder = new StringBuilder(); builder.Append("Data Source=127.0.0.1; User ID="); builder.Append(this.dbUsername); builder.Append("; Password="); builder.Append(this.dbPassword); builder.Append("; Initial Catalog="); builder.Append(this.dbName); builder.Append(";Connect Timeout=30"); return builder.ToString(); } } } }

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