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  • What is the difference between Workcenters, Dashboards, and the Interaction Hub?

    - by Matthew Haavisto
    Oracle Open World has just concluded.  Over the course of the conference, we presented several sessions covering different aspects of the PeopleSoft user experience, including Workcenters, Dashboards, and the PeopleSoft Interaction Hub (formerly known as the PeopleSoft Applications Portal).  Although we've produced collateral on these features and covered them in sessions, it became apparent at the conference that customers still have many questions about the these products, including how they are licensed, how they are installed, what their various purposes are, and how they can be used together synergistically. Let's Start with Licensing and Installation As you may know, we've extended the restricted use license (RUL) for the Interaction Hub.  This grants customers with PeopleTools 8.52 licenses the right to install the Interaction Hub for free for use as specified in the Tools license notes.  Note that this means customers receive a restricted use license for the Interaction Hub that doesn't cost them an additional license fee, but it is a separate product, not part of PeopleTools or PeopleSoft applications, and is a separate installation.  This means customers must provide the infrastructure to install and run the Hub, just like any other application.  The benefits of using the Hub to unify your PeopleSoft user experience can be great.  PeopleSoft applications have not yet delivered instances of the Hub with their products, though they may in the future. Workcenters and Dashboards, on the other hand, are frameworks provided by PeopleTools.  No other license is required, and no additional installation of a separate product is needed (apart from PeopleTools and PeopleSoft applications).  PeopleSoft applications are delivering instances of the workcenters and dashboards with their products.  Some are available now, and more are coming in future releases.  These delivered workcenter and dashboard instances require no additional licenses, and no additional installations beyond Tools and the applications that provide them.  In addition, the workcenter and dashboard frameworks provided by PeopleTools can be used by customers to build their own workcenters and dashboards, and it's quite easy and simple to do so. What are Their Differences?  What Purposes do they Serve? Workcenters, Dashboards and the Interaction Hub appear somewhat similar.  They all contain pagelets, and have some visual characteristics in common.  However, their strengths and purposes are very different, and they were designed to provide different benefits to your PeopleSoft ecosystem. Workcenters and Dashboards have the following characteristics: Designed for specific roles Focus on the daily tasks of those roles Help to streamline the work performed most often Personal view of my work world Makes navigation and search easier and quicker, particularly for transactions and decision support Reports and data needed for day-to-day work Personalizable, but minimal Delivered by PS Apps, but can be altered by customer for their requirements Customers can create their own Workcenters can be used for guided processes  The Interaction Hub is designed to aggregate content from multiple applications, and is is used to unify the user experience of those applications.  It offers a rich, web site-based user experience, and is often used to provide access to infrequently performed activities like benefits enrollment, payroll inquiries, life event changes, onboarding, and so on. Full-featured and robust Centrally administered Pushed to large audience Broad info like Company News Infrequent activities like benefits, not day-to-day tasks Self-service, access to employer info Central launch point for other activities and can navigate to workcenters and dashboards Deployed by customers or consultants, instances not delivered by PeopleSoft (at this time) Content management Unified PS application navigation Although these products are quite different and serve different purposes in your PeopleSoft environment, they can be used together to provide a richer, more efficient and engaging user experience for your all your user communities.

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  • SQL Server IO handling mechanism can be severely affected by high CPU usage

    - by sqlworkshops
    Are you using SSD or SAN / NAS based storage solution and sporadically observe SQL Server experiencing high IO wait times or from time to time your DAS / HDD becomes very slow according to SQL Server statistics? Read on… I need your help to up vote my connect item – https://connect.microsoft.com/SQLServer/feedback/details/744650/sql-server-io-handling-mechanism-can-be-severely-affected-by-high-cpu-usage. Instead of taking few seconds, queries could take minutes/hours to complete when CPU is busy.In SQL Server when a query / request needs to read data that is not in data cache or when the request has to write to disk, like transaction log records, the request / task will queue up the IO operation and wait for it to complete (task in suspended state, this wait time is the resource wait time). When the IO operation is complete, the task will be queued to run on the CPU. If the CPU is busy executing other tasks, this task will wait (task in runnable state) until other tasks in the queue either complete or get suspended due to waits or exhaust their quantum of 4ms (this is the signal wait time, which along with resource wait time will increase the overall wait time). When the CPU becomes free, the task will finally be run on the CPU (task in running state).The signal wait time can be up to 4ms per runnable task, this is by design. So if a CPU has 5 runnable tasks in the queue, then this query after the resource becomes available might wait up to a maximum of 5 X 4ms = 20ms in the runnable state (normally less as other tasks might not use the full quantum).In case the CPU usage is high, let’s say many CPU intensive queries are running on the instance, there is a possibility that the IO operations that are completed at the Hardware and Operating System level are not yet processed by SQL Server, keeping the task in the resource wait state for longer than necessary. In case of an SSD, the IO operation might even complete in less than a millisecond, but it might take SQL Server 100s of milliseconds, for instance, to process the completed IO operation. For example, let’s say you have a user inserting 500 rows in individual transactions. When the transaction log is on an SSD or battery backed up controller that has write cache enabled, all of these inserts will complete in 100 to 200ms. With a CPU intensive parallel query executing across all CPU cores, the same inserts might take minutes to complete. WRITELOG wait time will be very high in this case (both under sys.dm_io_virtual_file_stats and sys.dm_os_wait_stats). In addition you will notice a large number of WAITELOG waits since log records are written by LOG WRITER and hence very high signal_wait_time_ms leading to more query delays. However, Performance Monitor Counter, PhysicalDisk, Avg. Disk sec/Write will report very low latency times.Such delayed IO handling also occurs to read operations with artificially very high PAGEIOLATCH_SH wait time (with number of PAGEIOLATCH_SH waits remaining the same). This problem will manifest more and more as customers start using SSD based storage for SQL Server, since they drive the CPU usage to the limits with faster IOs. We have a few workarounds for specific scenarios, but we think Microsoft should resolve this issue at the product level. We have a connect item open – https://connect.microsoft.com/SQLServer/feedback/details/744650/sql-server-io-handling-mechanism-can-be-severely-affected-by-high-cpu-usage - (with example scripts) to reproduce this behavior, please up vote the item so the issue will be addressed by the SQL Server product team soon.Thanks for your help and best regards,Ramesh MeyyappanHome: www.sqlworkshops.comLinkedIn: http://at.linkedin.com/in/rmeyyappan

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  • Good DBAs Do Baselines

    - by Louis Davidson
    One morning, you wake up and feel funny. You can’t quite put your finger on it, but something isn’t quite right. What now? Unless you happen to be a hypochondriac, you likely drag yourself out of bed, get on with the day and gather more “evidence”. You check your symptoms over the next few days; do you feel the same, better, worse? If better, then great, it was some temporal issue, perhaps caused by an allergic reaction to some suspiciously spicy chicken. If the same or worse then you go to the doctor for some health advice, but armed with some data to share, and having ruled out certain possible causes that are fixed with a bit of rest and perhaps an antacid. Whether you realize it or not, in comparing how you feel one day to the next, you have taken baseline measurements. In much the same way, a DBA uses baselines to gauge the gauge health of their database servers. Of course, while SQL Server is very willing to share data regarding its health and activities, it has almost no idea of the difference between good and bad. Over time, experienced DBAs develop “mental” baselines with which they can gauge the health of their servers almost as easily as their own body. They accumulate knowledge of the daily, natural state of each part of their database system, and so know instinctively when one of their databases “feels funny”. Equally, they know when an “issue” is just a passing tremor. They see their SQL Server with all of its four CPU cores running close 100% and don’t panic anymore. Why? It’s 5PM and every day the same thing occurs when the end-of-day reports, which are very CPU intensive, are running. Equally, they know when they need to respond in earnest when it is the first time they have heard about an issue, even if it has been happening every day. Nevertheless, no DBA can retain mental baselines for every characteristic of their systems, so we need to collect physical baselines too. In my experience, surprisingly few DBAs do this very well. Part of the problem is that SQL Server provides a lot of instrumentation. If you look, you will find an almost overwhelming amount of data regarding user activity on your SQL Server instances, and use and abuse of the available CPU, I/O and memory. It seems like a huge task even to work out which data you need to collect, let alone start collecting it on a regular basis, managing its storage over time, and performing detailed comparative analysis. However, without baselines, though, it is very difficult to pinpoint what ails a server, just by looking at a single snapshot of the data, or to spot retrospectively what caused the problem by examining aggregated data for the server, collected over many months. It isn’t as hard as you think to get started. You’ve probably already established some troubleshooting queries of the type SELECT Value FROM SomeSystemTableOrView. Capturing a set of baseline values for such a query can be as easy as changing it as follows: INSERT into BaseLine.SomeSystemTable (value, captureTime) SELECT Value, SYSDATETIME() FROM SomeSystemTableOrView; Of course, there are monitoring tools that will collect and manage this baseline data for you, automatically, and allow you to perform comparison of metrics over different periods. However, to get yourself started and to prove to yourself (or perhaps the person who writes the checks for tools) the value of baselines, stick something similar to the above query into an agent job, running every hour or so, and you are on your way with no excuses! Then, the next time you investigate a slow server, and see x open transactions, y users logged in, and z rows added per hour in the Orders table, compare to your baselines and see immediately what, if anything, has changed!

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  • Oracle ties social, CRM, analytics products to customer experience

    - by Richard Lefebvre
    Oracle will embark on a new product strategy that centers on customer experience management, an approach driven by the company’s many recent acquisitions.  The new approach, announced by the company Monday night, will be seen in an expansive suite that features familiar Oracle products -- such as its Fusion CRM platform -- and offerings the company recently gained through acquisitions, including FatWire, RightNow and Vitrue. Billed as Oracle Customer Experience (CX), the suite enables businesses to respond to a market centered on the customer experience, said Anthony Lye, the company’s senior vice president of CRM. Companies “are very aware their products are commoditizing,” Lye said in an interview last week, referring to how the Web and social media channels have empowered customers. Customer experiences start and mature outside of CRM, and applications today need to reflect that shift, Lye said. Businesses thus need to step away from a pure CRM model, he said. Oracle claims CX will improve customer experience management by connecting businesses with customers across Web sites and social channels. Companies can create a single, real-time view of the customer and use predictive analytics of interactions to strengthen the customer experience, Oracle said. “Companies have to connect with their customers wherever, whenever and however they want,” Lye said. “They have to know and understand their customer.” Lye promoted Oracle CX as a suite that will work across channels to complement the company’s applications. A new strategy has been “cooking” for years now, but the acquisitions Oracle has made over the past two years made the time right for a “unique collaboration,” Lye said. CX includes basic Oracle CRM solutions such as Siebel and the new Fusion Apps. It also includes the company’s MDM products, Enterprise Data Quality, Customer Hub and Product Hub. And the suite is rounded out by the services that Oracle recently bought, transactions that created or enhanced the company’s presence in social, marketing, e-commerce and customer service. For instance, FatWire provides tools for marketing. ATG focuses on e-commerce. And RightNow specializes in customer service. Two recent acquisitions -- Collective Intellect and Vitrue -- gave Oracle a seat at the social table. Collective Intellect is a social intelligence program, and Vitrue is a social marketing and engagement platform. Those acquisitions have yet to be finalized. Oracle hopes to eventually integrate the two social offerings, as well as most of the other services, into the CX suite. CX can integrate on Oracle’s standard middleware, and can give users a lower TCO by leveraging it as a single stack on premise or as a cloud solution. Lye deferred questions about the pricing of CX, and instead pitched Oracle’s ability to offer multiple customer experience solutions in one suite. Businesses have struggled with the complexity of infrastructure and modern services that communicate with customers, Lye said. “They’ve struggled to pull all these things together. We’ve done that,” he said. Stephen Powers, a research director at Forrester Research Inc. in Cambridge, Mass., said it’s not surprising for Oracle to offer the CX suite and a related customer experience strategy.  “They’ve got CRM, ATG, FatWire. Clearly, it’s been the strategy for them,” he said. But the challenge for Oracle, and for any other vendor that has gone on an “acquisition spree,” is to connect its many products, Powers said. “The portfolio has to be more than the parts. They’ve got to realize the efficiencies and value of having these pieces to tie them together,” he said. “The proof is in the pudding. Adobe has done a nice job in its space with the products they’ve got. Now, Oracle has got to show it has something.” Albert McKeon (SearchCRM) Published: 25 Jun 2012 : http://searchcrm.techtarget.com/news/2240158644/Oracle-ties-social-CRM-analytics-products-to-customer-experience

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  • Oracle MAA Part 1: When One Size Does Not Fit All

    - by JoeMeeks
    The good news is that Oracle Maximum Availability Architecture (MAA) best practices combined with Oracle Database 12c (see video) introduce first-in-the-industry database capabilities that truly make unplanned outages and planned maintenance transparent to users. The trouble with such good news is that Oracle’s enthusiasm in evangelizing its latest innovations may leave some to wonder if we’ve lost sight of the fact that not all database applications are created equal. Afterall, many databases don’t have the business requirements for high availability and data protection that require all of Oracle’s ‘stuff’. For many real world applications, a controlled amount of downtime and/or data loss is OK if it saves money and effort. Well, not to worry. Oracle knows that enterprises need solutions that address the full continuum of requirements for data protection and availability. Oracle MAA accomplishes this by defining four HA service level tiers: BRONZE, SILVER, GOLD and PLATINUM. The figure below shows the progression in service levels provided by each tier. Each tier uses a different MAA reference architecture to deploy the optimal set of Oracle HA capabilities that reliably achieve a given service level (SLA) at the lowest cost.  Each tier includes all of the capabilities of the previous tier and builds upon the architecture to handle an expanded fault domain. Bronze is appropriate for databases where simple restart or restore from backup is ‘HA enough’. Bronze is based upon a single instance Oracle Database with MAA best practices that use the many capabilities for data protection and HA included with every Oracle Enterprise Edition license. Oracle-optimized backups using Oracle Recovery Manager (RMAN) provide data protection and are used to restore availability should an outage prevent the database from being able to restart. Silver provides an additional level of HA for databases that require minimal or zero downtime in the event of database instance or server failure as well as many types of planned maintenance. Silver adds clustering technology - either Oracle RAC or RAC One Node. RMAN provides database-optimized backups to protect data and restore availability should an outage prevent the cluster from being able to restart. Gold raises the game substantially for business critical applications that can’t accept vulnerability to single points-of-failure. Gold adds database-aware replication technologies, Active Data Guard and Oracle GoldenGate, which synchronize one or more replicas of the production database to provide real time data protection and availability. Database-aware replication greatly increases HA and data protection beyond what is possible with storage replication technologies. It also reduces cost while improving return on investment by actively utilizing all replicas at all times. Platinum introduces all of the sexy new Oracle Database 12c capabilities that Oracle staff will gush over with great enthusiasm. These capabilities include Application Continuity for reliable replay of in-flight transactions that masks outages from users; Active Data Guard Far Sync for zero data loss protection at any distance; new Oracle GoldenGate enhancements for zero downtime upgrades and migrations; and Global Data Services for automated service management and workload balancing in replicated database environments. Each of these technologies requires additional effort to implement. But they deliver substantial value for your most critical applications where downtime and data loss are not an option. The MAA reference architectures are inherently designed to address conflicting realities. On one hand, not every application has the same objectives for availability and data protection – the Not One Size Fits All title of this blog post. On the other hand, standard infrastructure is an operational requirement and a business necessity in order to reduce complexity and cost. MAA reference architectures address both realities by providing a standard infrastructure optimized for Oracle Database that enables you to dial-in the level of HA appropriate for different service level requirements. This makes it simple to move a database from one HA tier to the next should business requirements change, or from one hardware platform to another – whether it’s your favorite non-Oracle vendor or an Oracle Engineered System. Please stay tuned for additional blog posts in this series that dive into the details of each MAA reference architecture. Meanwhile, more information on Oracle HA solutions and the Maximum Availability Architecture can be found at: Oracle Maximum Availability Architecture - Webcast Maximize Availability with Oracle Database 12c - Technical White Paper

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  • ARTS Reference Model for Retail

    - by Sanjeev Sharma
    Consider a hypothetical scenario where you have been tasked to set up retail operations for a electronic goods or daily consumables or a luxury brand etc. It is very likely you will be faced with the following questions: What are the essential business capabilities that you must have in place?  What are the essential business activities under-pinning each of the business capabilities, identified in Step 1? What are the set of steps that you need to perform to execute each of the business activities, identified in Step 2? Answers to the above will drive your investments in software and hardware to enable the core retail operations. More importantly, the choices you make in responding to the above questions will several implications in the short-run and in the long-run. In the short-term, you will incur the time and cost of defining your technology requirements, procuring the software/hardware components and getting them up and running. In the long-term, as you grow in operations organically or through M&A, partnerships and franchiser business models  you will invariably need to make more technology investments to manage the greater complexity (scale and scope) of business operations.  "As new software applications, such as time & attendance, labor scheduling, and POS transactions, just to mention a few, are introduced into the store environment, it takes a disproportionate amount of time and effort to integrate them with existing store applications. These integration projects can add up to 50 percent to the time needed to implement a new software application and contribute significantly to the cost of the overall project, particularly if a systems integrator is called in. This has been the reality that all retailers have had to live with over the last two decades. The effect of the environment has not only been to increase costs, but also to limit retailers' ability to implement change and the speed with which they can do so." (excerpt taken from here) Now, one would think a lot of retailers would have already gone through the pain of finding answers to these questions, so why re-invent the wheel? Precisely so, a major effort began almost 17 years ago in the retail industry to make it less expensive and less difficult to deploy new technology in stores and at the retail enterprise level. This effort is called the Association for Retail Technology Standards (ARTS). Without standards such as those defined by ARTS, you would very likely end up experiencing the following: Increased Time and Cost due to resource wastage arising from re-inventing the wheel i.e. re-creating vanilla processes from scratch, and incurring, otherwise avoidable, mistakes and errors by ignoring experience of others Sub-optimal Process Efficiency due to narrow, isolated view of processes thereby ignoring process inter-dependencies i.e. optimizing parts but not the whole, and resulting in lack of transparency and inter-departmental finger-pointing Embracing ARTS standards as a blue-print for establishing or managing or streamlining your retail operations can benefit you in the following ways: Improved Time-to-Market from parity with industry best-practice processes e.g. ARTS, thus avoiding “reinventing the wheel” for common retail processes and focusing more on customizing processes for differentiations, and lowering integration complexity and risk with a standardized vocabulary for exchange between internal and external i.e. partner systems Lower Operating Costs by embracing the ARTS enterprise-wide process reference model for developing and streamlining retail operations holistically instead of a narrow, silo-ed view, and  procuring IT systems in compliance with ARTS thus avoiding IT budget marginalization While parity with industry standards such as ARTS business process model by itself does not create a differentiation, it does however provide a higher starting point for bridging the strategy-execution gap in setting up and improving retail operations.

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  • Proving What You are Worth

    - by Ted Henson
    Here is a challenge for everyone. Just about everyone has been asked to provide or calculate the Return on Investment (ROI), so I will assume everyone has a method they use. The problem with stopping once you have an ROI is that those in the C-Suite probably do not care about the ROI as much as Return on Equity (ROE). Shareholders are mostly concerned with their return on the money the invested. Warren Buffett looks at ROE when deciding whether to make a deal or not. This article will outline how you can add more meaning to your ROI and show how you can potentially enhance the ROE of the company.   First I want to start with a base definition I am using for ROI and ROE. Return on investment (ROI) and return on equity (ROE) are ways to measure management effectiveness, parts of a system of measures that also includes profit margins for profitability, price-to-earnings ratio for valuation, and various debt-to-equity ratios for financial strength. Without a set of evaluation metrics, a company's financial performance cannot be fully examined by investors. ROI and ROE calculate the rate of return on a specific investment and the equity capital respectively, assessing how efficient financial resources have been used. Typically, the best way to improve financial efficiency is to reduce production cost, so that will be the focus. Now that the challenge has been made and items have been defined, let’s go deeper. Most research about implementation stops short at system start-up and seldom addresses post-implementation issues. However, we know implementation is a continuous improvement effort, and continued efforts after system start-up will influence the ultimate success of a system.   Most UPK ROI’s I have seen only include the cost savings in developing the training material. Some will also include savings based on reduced Help Desk calls. Using just those values you get a good ROI. To get an ROE you need to go a little deeper. Typically, the best way to improve financial efficiency is to reduce production cost, which is the purpose of implementing/upgrading an enterprise application. Let’s assume the new system is up and running and all users have been properly trained and are comfortable using the system. You provide senior management with your ROI that justifies the original cost. What you want to do now is develop a good base value to a measure the current efficiency. Using usage tracking you can look for various patterns. For example, you may find that users that are accessing UPK assistance are processing a procedure, such as entering an order, 5 minutes faster than those that don’t.  You do some research and discover each minute saved in processing a claim saves the company one dollar. That translates to the company saving five dollars on every transaction. Assuming 100,000 transactions are performed a year, and all users improve their performance, the company will be saving $500,000 a year. That $500,000 can be re-invested, used to reduce debt or paid to the shareholders.   With continued refinement during the life cycle, you should be able to find ways to reduce cost. These are the type of numbers and productivity gains that senior management and shareholders want to see. Being able to quantify savings and increase productivity may also help when seeking a raise or promotion.

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  • The five steps of business intelligence adoption: where are you?

    - by Red Gate Software BI Tools Team
    When I was in Orlando and New York last month, I spoke to a lot of business intelligence users. What they told me suggested a path of BI adoption. The user’s place on the path depends on the size and sophistication of their organisation. Step 1: A company with a database of customer transactions will often want to examine particular data, like revenue and unit sales over the last period for each product and territory. To do this, they probably use simple SQL queries or stored procedures to produce data on demand. Step 2: The results from step one are saved in an Excel document, so business users can analyse them with filters or pivot tables. Alternatively, SQL Server Reporting Services (SSRS) might be used to generate a report of the SQL query for display on an intranet page. Step 3: If these queries are run frequently, or business users want to explore data from multiple sources more freely, it may become necessary to create a new database structured for analysis rather than CRUD (create, retrieve, update, and delete). For example, data from more than one system — plus external information — may be incorporated into a data warehouse. This can become ‘one source of truth’ for the business’s operational activities. The warehouse will probably have a simple ‘star’ schema, with fact tables representing the measures to be analysed (e.g. unit sales, revenue) and dimension tables defining how this data is aggregated (e.g. by time, region or product). Reports can be generated from the warehouse with Excel, SSRS or other tools. Step 4: Not too long ago, Microsoft introduced an Excel plug-in, PowerPivot, which allows users to bring larger volumes of data into Excel documents and create links between multiple tables.  These BISM Tabular documents can be created by the database owners or other expert Excel users and viewed by anyone with Excel PowerPivot. Sometimes, business users may use PowerPivot to create reports directly from the primary database, bypassing the need for a data warehouse. This can introduce problems when there are misunderstandings of the database structure or no single ‘source of truth’ for key data. Step 5: Steps three or four are often enough to satisfy business intelligence needs, especially if users are sophisticated enough to work with the warehouse in Excel or SSRS. However, sometimes the relationships between data are too complex or the queries which aggregate across periods, regions etc are too slow. In these cases, it can be necessary to formalise how the data is analysed and pre-build some of the aggregations. To do this, a business intelligence professional will typically use SQL Server Analysis Services (SSAS) to create a multidimensional model — or “cube” — that more simply represents key measures and aggregates them across specified dimensions. Step five is where our tool, SSAS Compare, becomes useful, as it helps review and deploy changes from development to production. For us at Red Gate, the primary value of SSAS Compare is to establish a dialog with BI users, so we can develop a portfolio of products that support creation and deployment across a range of report and model types. For example, PowerPivot and the new BISM Tabular model create a potential customer base for tools that extend beyond BI professionals. We’re interested in learning where people are in this story, so we’ve created a six-question survey to find out. Whether you’re at step one or step five, we’d love to know how you use BI so we can decide how to build tools that solve your problems. So if you have a sixty seconds to spare, tell us on the survey!

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  • MySQL Enterprise Backup 3.8.2 has been released!

    - by Hema Sridharan
    MySQL Enterprise Backup v3.8.2, a maintenance release of online MySQL backup tool, is now available for download from My Oracle Support  (MOS) website as our latest GA release.  It will also be available via the Oracle Software Delivery Cloud in approximately 1-2 weeks. A brief summary of the changes in MySQL Enterprise Backup version 3.8.2 is given below.   A. Functionality Added or Changed:  MySQL Enterprise Backup has a new --on-disk-full command line option. mysqlbackup could hang when the disk became full, rather than detecting the low space condition. mysqlbackup now monitors disk space when running backup commands, and users can now specify the action to take at a disk-full condition with the --on-disk-full option. For more details, refer this page MySQL Enterprise Backup has a new progress report feature, which periodically outputs short progress indicators on its  operations to user-selected destinations (for example, stdout, stderr, a file, or other choices). For more details on progress report options, refer here   B. Bugs Fixed: When --innodb-file-per-table=ON, if a table was renamed and backup-to-image was in progress, apply-log would fail when being run on the backup. (Bug #16903973)   MySQL Server failed to start after a backup was restored if  there had been online DDL transactions on partitioned tables during the time of backup. (Bug #16924499)   apply-log failed if ALTER TABLE ... REORGANIZE PARTITION was applied to partitioned InnoDB tables during backup. (Bug #16721824, Bug #16903951)  apply-incremental-backup might fail with an assertion error if  the InnoDB tables being backed up were created in Barracuda format and with their KEY_BLOCK_SIZE  values  different from the innodb_page_size . This fix ensures that different KEY_BLOCK_SIZE  values are handled properly during incremental backup and apply-incremental-backup operations.  If a table was renamed following a full backup, a subsequent incremental backup could copy the .frm file with the new name, but not the associated .ibd file with the new name. After a  restore, the InnoDB data dictionary could be in an  inconsistent state. This issue primarily occurred if the table  was not changed between the full backup and the subsequent  incremental backup. Bug #16262690)  After a full backup, if a table was renamed and modified,  apply-incremental-backup would crash when run on the backup directory. (Bug #16262609) The value of the binary log position in backup_variables.txt  could be different from the output displayed during the   backup-and-apply-log operation. (This issue did not occur if  the backup and apply-log steps were done separately.) (Bug  #16195529) When using the --only-innodb-with-frm option, MySQL Enterprise Backup tried to create temporary files at unintended locations in the file system, which might cause a failure when, for example, the user had no write privilege for those locations.   This fix makes sure the paths for the temporary files are  correct. (Bug #14787324)  A backup process might hang when it ran into an LSN mismatch between a data file  and the redo log. This fix makes sure the process does not hang and it displays an error message showing the  name of the problematic data file (Bug #14791645) Please post your questions / comments about Backup in forums. Thanks, MEB Team

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  • MySQL Server 5.6 default my.cnf and my.ini

    - by user12626240
    We've introduced a default my.cnf / my.ini file for MySQL Server that you can now see in the 5.6.8 release candidate: # For advice on how to change settings please see # http://dev.mysql.com/doc/refman/5.6/en/server-configuration-defaults.html [mysqld] # Remove leading # and set to the amount of RAM for the most important data # cache in MySQL. Start at 70% of total RAM for dedicated server, else 10%. # innodb_buffer_pool_size = 128M   # Remove leading # to turn on a very important data integrity option: logging # changes to the binary log between backups. # log_bin   # These are commonly set, remove the # and set as required. # basedir = ..... # datadir = ..... # port = ..... # socket = ..... # server_id = .....   # Remove leading # to set options mainly useful for reporting servers. # The server defaults are faster for transactions and fast SELECTs. # Adjust sizes as needed, experiment to find the optimal values. # join_buffer_size = 128M # sort_buffer_size = 2M # read_rnd_buffer_size = 2M   sql_mode=NO_ENGINE_SUBSTITUTION,STRICT_TRANS_TABLES    There is also a template file called my-default.cnf or my-default.ini that has these lines near the start: # *** DO NOT EDIT THIS FILE. It's a template which will be copied to the # *** default location during install, and will be replaced if you # *** upgrade to a newer version of MySQL.   On Linux systems, the mysql_install_db command will copy the template file to the final location, where the server will read and use the file, removing the extra three lines. On Windows, the installer will create extra settings based on the answers you gave during installation. Neither will overwrite an existing my.cnf or my.ini file. The only initially active setting here is to change the value of  sql_mode from the server default of NO_ENGINE_SUBSTITUTION to NO_ENGINE_SUBSTITUTION,STRICT_TRANS_TABLES. This strict mode changes warnings for some non-standard behaviour into errors. This can cause applications which rely on the non-standard things, like dates that aren't valid, to lose data. If we had just changed the server default, the new setting would affect all servers that lack an explicit sql_mode setting, including those where strict mode is harmful. So we did it in the default file instead because that will only affect new server installations. You should expect that in our next version after 5.6, the server default will include STRICT_TRANS_TABLES. Our Windows installer and some of our connectors already use STRICT_TRANS_TABLES by default. Strict has been our preferred setting for many years and it is good to see some development platforms are using it. If you need the old behaviour, just remove the STRICT_TRANS_TABLES setting. If you do this, please also ask your application provider to make it unnecessary. They can do that by setting the session sql_mode setting in their own connections, so the rest of the applications using the server don't have to have an undesirable default. We've kept this file as small as possible because we found that our old files were too big and confused people. We've also now removed the old my-huge and related example files. One key part of this is the link to the documentation, where we will provide an introduction to some key settings. We'd like to hear your feedback on settings that will benefit most users or are most important to call out for existing users. Please do that by commenting here or if you prefer by adding comments to this bug report.

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  • Understanding the Value of SOA

    - by Mala Narasimharajan
    Written By: Debra Lilley, ACE Director, Fusion Applications Again I want to talk from my area of expertise of Fusion Applications and talk about their design fundamentals. If you look at the table below and start at the bottom Oracle have defined all of the business objects e.g. accounts, people, customers, invoices etc. used by Fusion Applications; each of these objects contain all of the information required and can be expanded if necessary.  That Oracle have created for each of these business objects every action that is needed for the applications e.g. all the actions to create a new customer, checking to see if it exists, credit checking with D&B (Dun & Bradstreet < http://www.dnb.co.uk/> ) , creating the record, notifying those required etc. Each of these actions is a stand-alone web service. Again you can create a new actions or subscribe to an external provided web service e.g. the D&B check. The diagram also shows that all of development of Fusion Applications is from their Fusion Middleware offerings. Then the Intelligent Business Process is the order in which you run these actions, this is Service Orientated Architecture, SOA. Not only is SOA used to orchestrate actions within Fusion Applications it is also used in the integration of Fusion Applications with the rest of the Oracle stable of applications such as EBS, PeopleSoft, JDE and Siebel. The other applications are written with propriety development tools so how do they work with SOA? It’s a very simple answer, with the introduction of the Oracle SOA platform each process within these applications was made available to be called as a web service. I won’t go into technically how that is done but what’s known as a wrapper to allow each of them to act in this way was added. Finally at the top of the diagram are the questions that each Fusion Application process must answer, and this is the ‘special’ sauce that makes them so good, the User Experience, but that is a topic for another day, or you can read about it in my blog http://debrasoracle.blogspot.co.uk/2014/04/going-on-record-about-fusion-apps-cloud.html or Oracle’s own UX blog https://blogs.oracle.com/usableapps/ The concept behind AppAdvantage is not new the idea that Oracle technology can add value to your Oracle applications investments is pretty fundamental. Nishit Rao who is in AppAdvantage team provided myself and other ACE Directors with demo kits so that we could demonstrate SOA running with the applications. The example I learnt to build was that of the EBS inventory open interface. The simple concept is that request records can be added to a table and an import run that creates these as transactions in inventory. What’s SOA allows you to do is to add to the table from any source and then run this process automatically whereas traditionally you had to run the process at regular intervals because you didn’t know if the table was empty or not. This may just sound like a different way of doing the same thing but if the process is critical for your business then the interval was very small and the process run potentially many times unnecessarily. Using SOA it only happened when necessary without any delay. So in my post today I’ve talked about how SOA is used with Fusion Applications and in the linking with more traditional applications but that is only the tip of the iceberg of potential, your applications are just part of your IT systems and SOA can orchestrate your data across all of them; the beauty of open standards.  Debra Lilley, Fusion Champion, UKOUG Board Member, Fusion User Experience Advocate and ACE Director.  Lilley has 18 years experience with Oracle Applications, with E Business Suite since 9.4.1, moving to Business Intelligence Team Lead and Oracle Alliance Director. She has spoken at over 100 conferences worldwide and posts at debrasoraclethoughts

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  • High Resolution Timeouts

    - by user12607257
    The default resolution of application timers and timeouts is now 1 msec in Solaris 11.1, down from 10 msec in previous releases. This improves out-of-the-box performance of polling and event based applications, such as ticker applications, and even the Oracle rdbms log writer. More on that in a moment. As a simple example, the poll() system call takes a timeout argument in units of msec: System Calls poll(2) NAME poll - input/output multiplexing SYNOPSIS int poll(struct pollfd fds[], nfds_t nfds, int timeout); In Solaris 11, a call to poll(NULL,0,1) returns in 10 msec, because even though a 1 msec interval is requested, the implementation rounds to the system clock resolution of 10 msec. In Solaris 11.1, this call returns in 1 msec. In specification lawyer terms, the resolution of CLOCK_REALTIME, introduced by POSIX.1b real time extensions, is now 1 msec. The function clock_getres(CLOCK_REALTIME,&res) returns 1 msec, and any library calls whose man page explicitly mention CLOCK_REALTIME, such as nanosleep(), are subject to the new resolution. Additionally, many legacy functions that pre-date POSIX.1b and do not explicitly mention a clock domain, such as poll(), are subject to the new resolution. Here is a fairly comprehensive list: nanosleep pthread_mutex_timedlock pthread_mutex_reltimedlock_np pthread_rwlock_timedrdlock pthread_rwlock_reltimedrdlock_np pthread_rwlock_timedwrlock pthread_rwlock_reltimedwrlock_np mq_timedreceive mq_reltimedreceive_np mq_timedsend mq_reltimedsend_np sem_timedwait sem_reltimedwait_np poll select pselect _lwp_cond_timedwait _lwp_cond_reltimedwait semtimedop sigtimedwait aiowait aio_waitn aio_suspend port_get port_getn cond_timedwait cond_reltimedwait setitimer (ITIMER_REAL) misc rpc calls, misc ldap calls This change in resolution was made feasible because we made the implementation of timeouts more efficient a few years back when we re-architected the callout subsystem of Solaris. Previously, timeouts were tested and expired by the kernel's clock thread which ran 100 times per second, yielding a resolution of 10 msec. This did not scale, as timeouts could be posted by every CPU, but were expired by only a single thread. The resolution could be changed by setting hires_tick=1 in /etc/system, but this caused the clock thread to run at 1000 Hz, which made the potential scalability problem worse. Given enough CPUs posting enough timeouts, the clock thread could be a performance bottleneck. We fixed that by re-implementing the timeout as a per-CPU timer interrupt (using the cyclic subsystem, for those familiar with Solaris internals). This decoupled the clock thread frequency from timeout resolution, and allowed us to improve default timeout resolution without adding CPU overhead in the clock thread. Here are some exceptions for which the default resolution is still 10 msec. The thread scheduler's time quantum is 10 msec by default, because preemption is driven by the clock thread (plus helper threads for scalability). See for example dispadmin, priocntl, fx_dptbl, rt_dptbl, and ts_dptbl. This may be changed using hires_tick. The resolution of the clock_t data type, primarily used in DDI functions, is 10 msec. It may be changed using hires_tick. These functions are only used by developers writing kernel modules. A few functions that pre-date POSIX CLOCK_REALTIME mention _SC_CLK_TCK, CLK_TCK, "system clock", or no clock domain. These functions are still driven by the clock thread, and their resolution is 10 msec. They include alarm, pcsample, times, clock, and setitimer for ITIMER_VIRTUAL and ITIMER_PROF. Their resolution may be changed using hires_tick. Now back to the database. How does this help the Oracle log writer? Foreground processes post a redo record to the log writer, which releases them after the redo has committed. When a large number of foregrounds are waiting, the release step can slow down the log writer, so under heavy load, the foregrounds switch to a mode where they poll for completion. This scales better because every foreground can poll independently, but at the cost of waiting the minimum polling interval. That was 10 msec, but is now 1 msec in Solaris 11.1, so the foregrounds process transactions faster under load. Pretty cool.

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  • ??GoldenGate?LAG???

    - by Liu Maclean(???)
    GGSCI????LAG?? ????????????????Oracle?redo????online redo logfile? ? Replicat????????????????? ???????? ????,?????????????????LAG; ????????????????REPLICAT??apply???????????? OGG????RANGE??????????,????????REPLICATE??APPLY? OGG??MAXTRANSOPS???????? LAG?????????: ?Extract?????redolog????TRAIL?REMOTE HOST ????datapump???extract trail????????????REMOTE HOST ?collector?????????????????LOCAL TRAIL ?REPLICAT??LOCAL TRAIL???????? ?????????GGSCI?INFO?STATUS??????LAG,???SEND ???,LAG?????LAG?????: INFO??????LAG???SEND??????????? INFO?????LAG???MANAGER????????checkpoint SEND <OBJECT>, lag???LAG???<OBJECT>???????????? LAG?????????????????Kilobytes??? ????LAG??? ????????????? ? EXTRACT/PUMP/REPLICAT???????? ?2?????????, ???? LAG???EXTRACT??????? ??EXTRACT/PUMP/REPLICAT??????????????? REAL TIME,???LAG????? ?????????????? ????????REDO LOG?????????,?LAG???ER???????,?????????????? ??????,STOP EXTRACT?????????????????LAG,????EXTRACT?????,??EXTRACT????????? ????REDO LOG???? ?EXTRACT??????????????????? GGSCI (XIANGBLI-CN) 27> stop load2 Sending STOP request to EXTRACT LOAD2 … Request processed. GGSCI (XIANGBLI-CN) 28> start load2 Sending START request to MANAGER … EXTRACT LOAD2 starting GGSCI (XIANGBLI-CN) 31> info load2 EXTRACT    LOAD2     Last Started 2012-09-18 20:26   Status RUNNING Checkpoint Lag       00:04:34 (updated 00:00:08 ago) Log Read Checkpoint  Oracle Redo Logs 2012-09-18 20:21:32  Seqno 44, RBA 13750272 SCN 0.1845479 (1845479) GGSCI (XIANGBLI-CN) 35> lag load2 Sending GETLAG request to EXTRACT LOAD2 … Last record lag: 130 seconds. At EOF, no more records to process. GGSCI (XIANGBLI-CN) 36> info load2 EXTRACT    LOAD2     Last Started 2012-09-18 20:26   Status RUNNING Checkpoint Lag       00:00:00 (updated 00:00:02 ago) Log Read Checkpoint  Oracle Redo Logs 2012-09-18 20:27:33  Seqno 44, RBA 13817856 SCN 0.1845671 (1845671) ?????? Last record lag ? Checkpoint Lag ???? EXTRACT/PUMP/REPLICAT ?????????????(catch up), ???? ?????????????GB?redo???,??????EXTRACT/PUMP/REPLICAT ????????? ???INFO?LAG???checkpoint?,????????????Long Running Transactions (LRTs),??????????COMMIT? ????????????????????????COMMIT?????? ????EXTRACT/PUMP/REPLICAT???????????????????????commit????? ??REPLICAT????MAXTRANSOPS ?????LAG?

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  • ZF2 Zend\Db Insert/Update Using Mysql Expression (Zend\Db\Sql\Expression?)

    - by Aleross
    Is there any way to include MySQL expressions like NOW() in the current build of ZF2 (2.0.0beta4) through Zend\Db and/or TableGateway insert()/update() statements? Here is a related post on the mailing list, though it hasn't been answered: http://zend-framework-community.634137.n4.nabble.com/Zend-Db-Expr-and-Transactions-in-ZF2-Db-td4472944.html It appears that ZF1 used something like: $data = array( 'update_time' => new \Zend\Db\Expr("NOW()") ); And after looking through Zend\Db\Sql\Expression I tried: $data = array( 'update_time' => new \Zend\Db\Sql\Expression("NOW()"), ); But get the following error: Catchable fatal error: Object of class Zend\Db\Sql\Expression could not be converted to string in /var/www/vendor/ZF2/library/Zend/Db/Adapter/Driver/Pdo/Statement.php on line 256 As recommended here: http://zend-framework-community.634137.n4.nabble.com/ZF2-beta3-Zend-Db-Sql-Insert-new-Expression-now-td4536197.html I'm currently just setting the date with PHP code, but I'd rather use the MySQL server as the single source of truth for date/times. $data = array( 'update_time' => date('Y-m-d H:i:s'), ); Thanks, I appreciate any input!

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  • Methods for deep cloning objects in C#

    - by Anry
    I have a class: public class Order : BaseEPharmObject { public Order() { } public virtual Guid Id { get; set; } public virtual DateTime Created { get; set; } public virtual DateTime? Closed { get; set; } public virtual OrderResult OrderResult { get; set; } public virtual decimal Balance { get; set; } public virtual Customer Customer { get; set; } public virtual Shift Shift { get; set; } public virtual Order LinkedOrder { get; set; } public virtual User CreatedBy { get; set; } public virtual decimal TotalPayable { get; set; } public virtual IList<Transaction> Transactions { get; set; } public virtual IList<Payment> Payments { get; set; } } I need to clone objects of class Order. How to implement a deep copy right in the base class?

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  • Atomic UPSERT in SQL Server 2005

    - by rabidpebble
    What is the correct pattern for doing an atomic "UPSERT" (UPDATE where exists, INSERT otherwise) in SQL Server 2005? I see a lot of code on SO (e.g. see http://stackoverflow.com/questions/639854/tsql-check-if-a-row-exists-otherwise-insert) with the following two-part pattern: UPDATE ... FROM ... WHERE <condition> -- race condition risk here IF @@ROWCOUNT = 0 INSERT ... or IF (SELECT COUNT(*) FROM ... WHERE <condition>) = 0 -- race condition risk here INSERT ... ELSE UPDATE ... where will be an evaluation of natural keys. None of the above approaches seem to deal well with concurrency. If I cannot have two rows with the same natural key, it seems like all of the above risk inserting rows with the same natural keys in race condition scenarios. I have been using the following approach but I'm surprised not to see it anywhere in people's responses so I'm wondering what is wrong with it: INSERT INTO <table> SELECT <natural keys>, <other stuff...> FROM <table> WHERE NOT EXISTS -- race condition risk here? ( SELECT 1 FROM <table> WHERE <natural keys> ) UPDATE ... WHERE <natural keys> (Note: I'm assuming that rows will not be deleted from this table. Although it would be nice to discuss how to handle the case where they can be deleted -- are transactions the only option? Which level of isolation?) Is this atomic? I can't locate where this would be documented in SQL Server documentation.

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  • Cannot rollback ransaction with Entity Framework

    - by Luca
    I have to do queries on uncommitted changes and I tried to use transactions, but I found that it do not work if there are exceptions. I made a simple example to reproduce the problem. I have a database with only one table called "Tabella" and the table has two fields: "ID" is a autogenerated integer, and "Valore" is an integer with a Unique constraint. Then I try to run this code: using (TransactionScope scope = new TransactionScope()) { Db1Container db1 = new Db1Container(); try { db1.AddToTabella(new Tabella() { Valore = 1 }); db1.SaveChanges(); } catch { } try { db1.AddToTabella(new Tabella() { Valore = 1 }); db1.SaveChanges(); //Unique constraint is violated here and an exception is thrown } catch { } try { db1.AddToTabella(new Tabella() { Valore = 2 }); db1.SaveChanges(); } catch { } //scope.Complete(); //NEVER called } //here everything should be rolled back Now if I look into the database it should contain no records because the transaction should rollback, instead I find two records!!!! One with Valore=1 and one with Valore=2. I am missing something? It looks like the second call to SaveChanges method rollback its own changes and "deletes" the transaction, then the third call to SaveChanges commits the changes of the first and the third insert (at this point it is like the transaction not exists). I also tried to use SaveChanges(false) method (even without calling AcceptAllChanges method), but with no success: I have the same behaviour. I do not want the transaction to be rolled back automatically by SaveChanges, because I want to correct the errors (for example by user interaction in the catch statement) and make a retry. Can someone help me with this? It seems like a "bug", and it is giving me a really big headache...

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  • Installed VS Express 2010 with .NET 4.0 and now .NET 3.5 setup project adds 15 dependencies

    - by Heckflosse_230
    Hi, I installed VS Express 2010 with .NET 4.0 and now a .NET 3.5 setup project in VS 2008 adds 15 dependencies (below), what is going on??? I did not change anything in the project in between installing VS 2010, VS 2008 is packagin the following files in the project: ==================== Packaging file 'Microsoft.Transactions.Bridge.dll'... Packaging file 'System.Core.dll'... Packaging file 'System.Data.DataSetExtensions.dll'... Packaging file 'System.Data.Entity.dll'... Packaging file 'System.Data.Linq.dll'... Packaging file 'System.Data.Services.Client.dll'... Packaging file 'System.Data.Services.Design.dll'... Packaging file 'System.IdentityModel.Selectors.dll'... Packaging file 'System.IdentityModel.dll'... Packaging file 'System.Runtime.Serialization.dll'... Packaging file 'System.ServiceModel.Web.dll'... Packaging file 'System.ServiceModel.dll'... Packaging file 'System.Web.Abstractions.dll'... Packaging file 'System.Web.Extensions.dll'... Packaging file 'System.Xml.Linq.dll'... ==================== I've uninstalled VS 2010 and .NET 4.0 but to no avail, same problem. Lesson learned: DON'T EXPERIMENT ON DEVELOPMENT MACHINE! Thanks, Chris

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  • WCF Service Throttling

    - by Mubashar Ahmad
    Dear All I have a WCF Service Deployed in a Console App with BasicHTTPBinding and SSL enabled on port using NetSH command and more over following attribute is set as well. [AspNetCompatibilityRequirements(RequirementsMode = AspNetCompatibilityRequirementsMode.Allowed)] And also i have set the Throttling behavior as <serviceThrottling maxConcurrentCalls="2147483647" maxConcurrentSessions="2147483647" maxConcurrentInstances="2147483647" /> On the other hand i have created a Test Client(for load test) that initiates multiple clients simultaneously(multiple threads) and performs transactions on server. everything seems fine and working properly but on server the CPU utilization is doesn't grow so i added some logging to view the number of concurrent calls to the server and found that its never went over 6. i have reviewed the performance counter logging code more than twice and it seems fine to me. So i want to ask where is the problem in this situation and one more thing i haven't specified any kind of ContextMode or ConcurrencyMode yet. After this Post I noticed that whenever i start another Intance of Test Client my concurrent Server Calls counter increase to 2 like if i am running only 1 instance the maximum Concurrent Rcvd Calls will be 2 and if there are two instance the same value goes to 4 and so on. Is there any limit of Number of WCF Calls from once process? Looking for help Mubashar *Added on 17-March******************* Today i ran another test with one test client(with 50 concurrent users) on the same machine on which the server is running this time i am getting exact result what i wanted it to show i.e. Maximum concurrent Calls Rcvd by Server = 50 but i need to do it the same on others machines as well. Can anybody help me on this.

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  • Trouble with Google Finance API

    - by BANSAL MOHIT
    When i am trying to buy shares using google finance api i am getting an exception. Please help run: Enter user ID: **@gmail.com Enter user password: ** Enter transaction type: Buy Enter transaction date (yyyy-mm-dd): 2010-03-10 Enter number of shares (optional, e.g. 100.0): Enter price (optional, e.g. 141.14): 12.0 Enter commission (optional, e.g. 20.0): 23.0 Enter currency (optional, e.g. USD, EUR, JPY): USD Enter any notes: Notes Enter portfolio ID: 1 Enter ticker (EXCHANGE:SYMBOL): NASDAQ:INFY Inserting Entry at location: http://finance.google.com/finance/feeds/default/portfolios/1/positions/NASDAQ:INFY/transactions The server had a problem handling your request. com.google.gdata.util.ServiceForbiddenException: Forbidden Exception message unavailable at com.google.gdata.client.http.HttpGDataRequest.handleErrorResponse(HttpGDataRequest.java:561) at com.google.gdata.client.http.GoogleGDataRequest.handleErrorResponse(GoogleGDataRequest.java:563) at com.google.gdata.client.http.HttpGDataRequest.checkResponse(HttpGDataRequest.java:536) at com.google.gdata.client.http.HttpGDataRequest.execute(HttpGDataRequest.java:515) at com.google.gdata.client.http.GoogleGDataRequest.execute(GoogleGDataRequest.java:535) at com.google.gdata.client.Service.insert(Service.java:1347) at com.google.gdata.client.GoogleService.insert(GoogleService.java:599) at financetester.Main.insertTransactionEntry(Main.java:169) at financetester.Main.main(Main.java:81) BUILD SUCCESSFUL (total time: 1 minute 4 seconds)

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  • Spikes in Socket Performance

    - by Harun Prasad
    We are facing random spikes in high throughput transaction processing system using sockets for IPC. Below is the setup used for the run: The client opens and closes new connection for every transaction, and there are 4 exchanges between the server and the client. We have disabled the TIME_WAIT, by setting the socket linger (SO_LINGER) option via getsockopt as we thought that the spikes were caused due to the sockets waiting in TIME_WAIT. There is no processing done for the transaction. Only messages are passed. OS used Centos 5.4 The average round trip time is around 3 milli seconds, but some times the round trip time ranges from 100 milli seconds to couple of seconds. Steps used for Execution and Measurement and output Starting the server $ python sockServerLinger.py /dev/null & Starting the client to post 1 million transactions to the server. And logs the time for a transaction in the client.log file. $ python sockClient.py 1000000 client.log Once the execution finishes the following command will show the execution time greater than 100 milliseconds in the format <line_number>:<execution_time>. $ grep -n "0.[1-9]" client.log | less Below is the example code for Server and Client. Server # File: sockServerLinger.py import socket, traceback,time import struct host = '' port = 9999 l_onoff = 1 l_linger = 0 lingeropt = struct.pack('ii', l_onoff, l_linger) s = socket.socket(socket.AF_INET, socket.SOCK_STREAM) s.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1) s.setsockopt(socket.SOL_SOCKET, socket.SO_LINGER, lingeropt) s.bind((host, port)) s.listen(1) while 1: try: clientsock, clientaddr = s.accept() print "Got connection from", clientsock.getpeername() data = clientsock.recv(1024*1024*10) #print "asdasd",data numsent=clientsock.send(data) data1 = clientsock.recv(1024*1024*10) numsent=clientsock.send(data) ret = 1 while(ret>0): data1 = clientsock.recv(1024*1024*10) ret = len(data) clientsock.close() except KeyboardInterrupt: raise except: print traceback.print_exc() continue Client # File: sockClient.py import socket, traceback,sys import time i = 0 while 1: try: st = time.time() s = socket.socket(socket.AF_INET,socket.SOCK_STREAM) while (s.connect_ex(('127.0.0.1',9999)) != 0): continue numsent=s.send("asd"*1000) response = s.recv(6000) numsent=s.send("asd"*1000) response = s.recv(6000) i+=1 if i == int(sys.argv[1]): break except KeyboardInterrupt: raise except: print "in exec:::::::::::::",traceback.print_exc() continue print time.time() -st

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  • wcf configuration for this code

    - by user208081
    I have the following code and would like to convert a lot of code into configuration settings for WCF. As you can see, the code is using wshttpbinding. I appreciate any help on this. try { // Provides a unique network address that a client uses to communicate with a service endpoint. EndpointAddress endpointAddress = new EndpointAddress(new Uri(FAXServiceSettings.Default.FAXReceiveServiceURL)); // Specify the protocols, transports, and message encoders used for communication between the client and the service. // WSHttpBinding represents an interoperable binding that supports distributed transactions and secure, reliable sessions. // Spefically, SOAP message security is enabled for secure transmission of the message content. WSHttpBinding clientBinding = new WSHttpBinding(SecurityMode.Message); clientBinding.OpenTimeout = TimeSpan.FromSeconds(FAXServiceSettings.Default.FAXReceiveServiceOpenTimeoutInSeconds); clientBinding.SendTimeout = TimeSpan.FromSeconds(FAXServiceSettings.Default.FAXReceiveServiceOpenTimeoutInSeconds); // Use the ChannelFactory to enable the creation of channels to the binding and endpoint. using (ChannelFactory<IReceiveFAX> channelFactory = new ChannelFactory<IReceiveFAX>(clientBinding, endpointAddress)) { // Creates a channel of a specified type to a specified endpoint address. IReceiveFAX channel = channelFactory.CreateChannel(); if (channel != null) { try { // Submit the FaxSchedule instance for routing. channel.SubmitFAXForRouting(CreateNewFaxScheduleContainerInstance()); // Explicitly close the channel using the IClientChannel interface. CloseChannel((channel as IClientChannel)); } finally { // Explicitly dispose of the channel using IDisposable interface. DisposeOfChannel((channel as IDisposable)); channel = null; } } // This method causes a CommunicationObject to gracefully transition from any state, other than the Closed state, into the Closed state. The Close method allows any // unfinished work to be completed before returning. For example, finish sending any buffered messages. channelFactory.Close(); } } catch { throw; } Pratik

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  • MDX equivalent to SQL subqueries with aggregation

    - by James Lampe
    I'm new to MDX and trying to solve the following problem. Investigated calculated members, subselects, scope statements, etc but can't quite get it to do what I want. Let's say I'm trying to come up with the MDX equivalent to the following SQL query: SELECT SUM(netMarketValue) net, SUM(CASE WHEN netMarketValue > 0 THEN netMarketValue ELSE 0 END) assets, SUM(CASE WHEN netMarketValue < 0 THEN netMarketValue ELSE 0 END) liabilities, SUM(ABS(netMarketValue)) gross someEntity1 FROM ( SELECT SUM(marketValue) netMarketValue, someEntity1, someEntity2 FROM <some set of tables> GROUP BY someEntity1, someEntity2) t GROUP BY someEntity1 In other words, I have an account ledger where I hide internal offsetting transactions (within someEntity2), then calculate assets & liabilities after aggregating them by someEntity2. Then I want to see the grand total of those assets & liabilities aggregated by the bigger entity, someEntity1. In my MDX schema I'd presumably have a cube with dimensions for someEntity1 & someEntity2, and marketValue would be my fact table/measure. I suppose i could create another DSV that did what my subquery does (calculating net), and simply create a cube with that as my measure dimension, but I wonder if there is a better way. I'd rather not have 2 cubes (one for these net calculations and another to go to a lower level of granularity for other use cases), since it will be a lot of duplicate info in my database. These will be very large cubes.

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  • Data Transfer Objects VS Domain/ActiveRecord Entities in the View in RoR

    - by leypascua
    I'm coming from a .NET background, where it is a practice to not bind domain/entity models directly to the view in not-so-basic CRUD-ish applications where the view does not directly project entity fields as-is. I'm wondering what's the practice in RoR, where the default persistence mechanism is ActiveRecord. I would assert that presentation-related info should not be leaked to the entities, not sure though if this is how real RoR heads would do it. If DTOs/model per view is the approach, how will you do it in Rails? Your thoughts? EDIT: Some examples: - A view shows a list of invoices, with the number of unique items in one column. - A list of credit card accounts, where possibly fraudulent transactions were executed. For that, the UI needs to show this row in red. For both scenarios, The lists don't show all of the fields of the entities, just a few to show in the list (like invoice #, transaction date, name of the account, the amount of the transaction) For the invoice example, The invoice entity doesn't have a field "No. of line items" mapped on it. The database has not been denormalized for perf reasons and it will be computed during query time using aggregate functions. For the credit card accounts example, surely the card transaction entity doesn't have a "Show-in-red" or "IsFraudulent" invariant. Yes it may be a business rule, but for this example, that is a presentation concern, so I would like to keep it out of my domain model.

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  • how to solve the error in GWT ?

    - by megala
    I created one GWT project in eclipse.It contained the following codings Program 1:Creategroup package com.crimson.creategroup; import javax.persistence.Basic; import javax.persistence.Entity; import javax.persistence.GeneratedValue; import javax.persistence.GenerationType; import javax.persistence.Id; import com.google.appengine.api.datastore.Key; import com.google.appengine.api.users.User; @Entity(name="CreateGroup") public class Creategroup { @Id @GeneratedValue(strategy = GenerationType.IDENTITY) private Key key; @Basic private User author; @Basic private String groupname; @Basic private String groupid; @Basic private String groupdesc; @Basic private String emailper; public Key getKey() { return key; } public void setAuthor(User author) { this.author = author; } public User getAuthor() { return author; } public void setGroupname(String groupname) { this.groupname = groupname; } public String getGroupname() { return groupname; } public void setGroupid(String groupid) { this.groupid = groupid; } public String getGroupid() { return groupid; } public void setGroupdesc(String groupdesc) { this.groupdesc = groupdesc; } public String getGroupdesc() { return groupdesc; } public void setEmailper(String emailper) { this.emailper = emailper; } public String getEmailper() { return emailper; } public Creategroup(String groupname,String groupid,String groupdesc ,String emailper) { this.groupname = groupname; this.groupid = groupid; this.groupdesc = groupdesc; this.emailper=emailper; } } Program 2:Creategroupservlet package com.crimson.creategroup; import java.io.IOException; import javax.persistence.EntityManager; import javax.servlet.http.HttpServlet; import javax.servlet.http.HttpServletRequest; import javax.servlet.http.HttpServletResponse; import com.google.appengine.api.users.User; import com.google.appengine.api.users.UserService; import com.google.appengine.api.users.UserServiceFactory; import java.util.logging.Logger; public class Creategroupservlet extends HttpServlet{ private static final long serialVersionUID = 1L; private static final Logger log = Logger.getLogger(Creategroupservlet.class.getName()); public void doPost(HttpServletRequest req, HttpServletResponse resp) throws IOException { UserService userService = UserServiceFactory.getUserService(); User user = userService.getCurrentUser(); String groupname=req.getParameter("gname"); String groupid=req.getParameter("groupdesc"); String groupdesc=req.getParameter("gdesc"); String email=req.getParameter("eperm"); if (groupname == null) { System.out.println("Complete all the details"); } if (user != null) { log.info("Greeting posted by user " + user.getNickname() + "\n " + groupname+"\n" + groupid + "\n" + groupdesc + "\n" + email); final EntityManager em = EMF.get(); try { Creategroup group = new Creategroup(groupname,groupid,groupdesc,email); em.persist(group); } finally { em.close(); } } else { throw new IllegalArgumentException("anonymous posts not permitted!"); } resp.sendRedirect("/group.jsp"); } } Program 3:EMF package com.crimson.creategroup; import javax.persistence.EntityManager; import javax.persistence.EntityManagerFactory; import javax.persistence.Persistence; public class EMF { private static final EntityManagerFactory emfInstance = Persistence.createEntityManagerFactory("transactions-optional"); private EMF() { } public static EntityManager get() { return emfInstance.createEntityManager(); } } Program 4:index.jsp <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN"> <%@ page contentType="text/html;charset=UTF-8" language="java" %> <%@ page import="com.google.appengine.api.users.User" %> <%@ page import="com.google.appengine.api.users.UserService" %> <%@ page import="com.google.appengine.api.users.UserServiceFactory" %> <html> <head> <meta http-equiv="content-type" content="text/html; charset=UTF-8"> <link type="text/css" rel="stylesheet" href="Group.css"> <title>Add Group into DataStore</title> </head> <body> <div id="nav"> <% UserService userService = UserServiceFactory.getUserService(); User user = userService.getCurrentUser(); if (user != null) { response.sendRedirect("/group.jsp"); %> <% } else { %> <a href="<%= userService.createLoginURL(request.getRequestURI()) %>">Sign in</a> <% } %> </div> <h1>Create Group</h1> <table> <tr> <td colspan="2" style="font-weight:bold;"> This demo uses secured resources, so you need to be logged into your Gmail account.</td> </tr> </table> </body> </html> program 5:group.jsp <%@ page contentType="text/html;charset=UTF-8" language="java" %> <%@ page import="java.util.List" %> <%@ page import="javax.persistence.EntityManager" %> <%@ page import="com.google.appengine.api.users.User" %> <%@ page import="com.google.appengine.api.users.UserService" %> <%@ page import="com.google.appengine.api.users.UserServiceFactory" %> <%@ page import="com.crimson.creategroup.Creategroup" %> <%@ page import="com.crimson.creategroup.EMF" %> <html> <body> <% UserService userService = UserServiceFactory.getUserService(); User user = userService.getCurrentUser(); if (user != null) { %> <p>Hello, <%= user.getNickname() %>! (You can <a href="<%= userService.createLogoutURL(request.getRequestURI()) %>">sign out</a>.)</p> <% } else { response.sendRedirect("/index.jsp"); } %> <% final EntityManager em = EMF.get(); try { String query = "select from " + Creategroup.class.getName(); List<Creategroup> groups = (List<Creategroup>) em.createQuery(query).getResultList(); if (groups.isEmpty()) { %> <p>This table not having any group</p> <% } else { for (Creategroup g : groups) { %> <p><b><%= g.getAuthor().getNickname() %></b> wrote:</p> <blockquote><%= g. getGroupname() %></blockquote> <blockquote><%= g. getGroupid() %></blockquote> <blockquote><%= g. getGroupdesc() %></blockquote> <blockquote><%= g. getEmailper() %></blockquote> <% } } } finally { em.close(); } %> <form action="/sign" method="post"> <input type="text" name="Groupname" size="25"> <input type="text" name="Groupid" size="25"> <input type="text" name="Groupdesc" size="250"> <input type="text" name="Emaildesc" size="25"> <div><input type="submit" value="CREATE GROUP" /></div> </form> </body> </html> Program 6:Web.xml <?xml version="1.0" encoding="UTF-8"?> <!DOCTYPE web-app PUBLIC "-//Sun Microsystems, Inc.//DTD Web Application 2.3//EN" "http://java.sun.com/dtd/web-app_2_3.dtd"> <web-app> <!-- Servlets --> <servlet> <servlet-name>Creategroupservlet</servlet-name> <servlet-class>com.crimson.creategroup.Creategroupservlet</servlet-class> </servlet> <servlet-mapping> <servlet-name>Creategroupservlet</servlet-name> <url-pattern>sign in</url-pattern> </servlet-mapping> <!-- Default page to serve --> <welcome-file-list> <welcome-file>index.jsp</welcome-file> </welcome-file-list> </web-app> Program 7:persistence.xml <?xml version="1.0" encoding="UTF-8" ?> <persistence xmlns="http://java.sun.com/xml/ns/persistence" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://java.sun.com/xml/ns/persistence http://java.sun.com/xml/ns/persistence/persistence_1_0.xsd" version="1.0"> <persistence-unit name="transactions-optional"> <provider>org.datanucleus.store.appengine.jpa.DatastorePersistenceProvider</provider> <properties> <property name="datanucleus.NontransactionalRead" value="true"/> <property name="datanucleus.NontransactionalWrite" value="true"/> <property name="datanucleus.ConnectionURL" value="appengine"/> </properties> </persistence-unit> </persistence but is shows the following error Missing required argument 'module[s]' Google Web Toolkit 2.0.0 DevMode [-noserver] [-port port-number | "auto"] [-whitelist whitelist-string] [-blacklist blacklist-string] [-logdir directory] [-logLevel level] [-gen dir] [-codeServerPort port-number | "auto"] [-server servletContainerLauncher] [-startupUrl url] [-war dir] [-extra dir] [-workDir dir] module[s] How to solve this thanks in advance?

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