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• apache chokes after 300 connections

  - by john titus

  We have an apache webserver in front of Tomcat hosted on EC2, instance type is extra large with 34GB memory. Our application deals with lot of external webservices and we have a very lousy external webservice which takes almost 300 seconds to respond to requests during peak hours. During peak hours the server chokes at just about 300 httpd processes. ps -ef | grep httpd | wc -l =300 I have googled and found numerous suggestions but nothing seems to work.. following are some configuration i have done which are directly taken from online resources. I have increased the limits of max connection and max clients in both apache and tomcat. here are the configuration details: //apache <IfModule prefork.c> StartServers 100 MinSpareServers 10 MaxSpareServers 10 ServerLimit 50000 MaxClients 50000 MaxRequestsPerChild 2000 </IfModule> //tomcat <Connector port="8080" protocol="org.apache.coyote.http11.Http11NioProtocol" connectionTimeout="600000" redirectPort="8443" enableLookups="false" maxThreads="1500" compressableMimeType="text/html,text/xml,text/plain,text/css,application/x-javascript,text/vnd.wap.wml,text/vnd.wap.wmlscript,application/xhtml+xml,application/xml-dtd,application/xslt+xml" compression="on"/> //Sysctl.conf net.ipv4.tcp_tw_reuse=1 net.ipv4.tcp_tw_recycle=1 fs.file-max = 5049800 vm.min_free_kbytes = 204800 vm.page-cluster = 20 vm.swappiness = 90 net.ipv4.tcp_rfc1337=1 net.ipv4.tcp_max_orphans = 65536 net.ipv4.ip_local_port_range = 5000 65000 net.core.somaxconn = 1024 I have been trying numerous suggestions but in vain.. how to fix this? I'm sure m2xlarge server should serve more requests than 300, probably i might be going wrong with my configuration.. The server chokes only during peak hours and when there are 300 concurrent requests waiting for the [300 second delayed] webservice to respond. Please help..

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• Find out what fonts are being sent to a printer

  - by user38307

  I have an issue where two computers running XP and with identical print drivers have different behavior printing over parallel port to receipt printers. For one type of receipt, receipt printing is instant. For another kind printing is delayed by ten seconds on most machines but not on the other. This happens even if I swap out printers. I believe the delay is because this computer has a different set of fonts installed. (It is used for graphic design.) The printers have built-in fonts, and if you do not use one of the built-in fonts the printer has to build up an image in memory rather than just spitting out its fonts. For a particular kind of receipt with special fonts on a particular computer the computer is sending a font which the receipt printer does not have built in. My question is, is there a way to find out what fonts are being sent to the printer? This would let me narrow down what I need to modify in the Windows font folder. Thank you!

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• SQL SERVER – SSMS: Memory Usage By Memory Optimized Objects Report

  - by Pinal Dave

  At conferences and at speaking engagements at the local UG, there is one question that keeps on coming which I wish were never asked. The question around, “Why is SQL Server using up all the memory and not releasing even when idle?” Well, the answer can be long and with the release of SQL Server 2014, this got even more complicated. This release of SQL Server 2014 has the option of introducing In-Memory OLTP which is completely new concept and our dependency on memory has increased multifold. In reality, nothing much changes but we have memory optimized objects (Tables and Stored Procedures) additional which are residing completely in memory and improving performance. As a DBA, it is humanly impossible to get a hang of all the innovations and the new features introduced in the next version. So today’s blog is around the report added to SSMS which gives a high level view of this new feature addition. This reports is available only from SQL Server 2014 onwards because the feature was introduced in SQL Server 2014. Earlier versions of SQL Server Management Studio would not show the report in the list. If we try to launch the report on the database which is not having In-Memory File group defined, then we would see the message in report. To demonstrate, I have created new fresh database called MemoryOptimizedDB with no special file group. Here is the query used to identify whether a database has memory-optimized file group or not. SELECT TOP(1) 1 FROM sys.filegroups FG WHERE FG.[type] = 'FX' Once we add filegroup using below command, we would see different version of report. USE [master] GO ALTER DATABASE [MemoryOptimizedDB] ADD FILEGROUP [IMO_FG] CONTAINS MEMORY_OPTIMIZED_DATA GO The report is still empty because we have not defined any Memory Optimized table in the database.  Total allocated size is shown as 0 MB. Now, let’s add the folder location into the filegroup and also created few in-memory tables. We have used the nomenclature of IMO to denote “InMemory Optimized” objects. USE [master] GO ALTER DATABASE [MemoryOptimizedDB] ADD FILE ( NAME = N'MemoryOptimizedDB_IMO', FILENAME = N'E:\Program Files\Microsoft SQL Server\MSSQL12.SQL2014\MSSQL\DATA\MemoryOptimizedDB_IMO') TO FILEGROUP [IMO_FG] GO You may have to change the path based on your SQL Server configuration. Below is the script to create the table. USE MemoryOptimizedDB GO --Drop table if it already exists. IF OBJECT_ID('dbo.SQLAuthority','U') IS NOT NULL DROP TABLE dbo.SQLAuthority GO CREATE TABLE dbo.SQLAuthority ( ID INT IDENTITY NOT NULL, Name CHAR(500)  COLLATE Latin1_General_100_BIN2 NOT NULL DEFAULT 'Pinal', CONSTRAINT PK_SQLAuthority_ID PRIMARY KEY NONCLUSTERED (ID), INDEX hash_index_sample_memoryoptimizedtable_c2 HASH (Name) WITH (BUCKET_COUNT = 131072) ) WITH (MEMORY_OPTIMIZED = ON, DURABILITY = SCHEMA_AND_DATA) GO As soon as above script is executed, table and index both are created. If we run the report again, we would see something like below. Notice that table memory is zero but index is using memory. This is due to the fact that hash index needs memory to manage the buckets created. So even if table is empty, index would consume memory. More about the internals of how In-Memory indexes and tables work will be reserved for future posts. Now, use below script to populate the table with 10000 rows INSERT INTO SQLAuthority VALUES (DEFAULT) GO 10000 Here is the same report after inserting 1000 rows into our InMemory table.    There are total three sections in the whole report. Total Memory consumed by In-Memory Objects Pie chart showing memory distribution based on type of consumer – table, index and system. Details of memory usage by each table. The information about all three is taken from one single DMV, sys.dm_db_xtp_table_memory_stats This DMV contains memory usage statistics for both user and system In-Memory tables. If we query the DMV and look at data, we can easily notice that the system tables have negative object IDs.  So, to look at user table memory usage, below is the over-simplified version of query. USE MemoryOptimizedDB GO SELECT OBJECT_NAME(OBJECT_ID), * FROM sys.dm_db_xtp_table_memory_stats WHERE OBJECT_ID > 0 GO This report would help DBA to identify which in-memory object taking lot of memory which can be used as a pointer for designing solution. I am sure in future we will discuss at lengths the whole concept of In-Memory tables in detail over this blog. To read more about In-Memory OLTP, have a look at In-Memory OLTP Series at Balmukund’s Blog. Reference: Pinal Dave (http://blog.sqlauthority.com)Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Server Management Studio, SQL Tips and Tricks, T SQL Tagged: SQL Memory, SQL Reports

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• Big Data – Buzz Words: Importance of Relational Database in Big Data World – Day 9 of 21

  - by Pinal Dave

  In yesterday’s blog post we learned what is HDFS. In this article we will take a quick look at the importance of the Relational Database in Big Data world. A Big Question? Here are a few questions I often received since the beginning of the Big Data Series - Does the relational database have no space in the story of the Big Data? Does relational database is no longer relevant as Big Data is evolving? Is relational database not capable to handle Big Data? Is it true that one no longer has to learn about relational data if Big Data is the final destination? Well, every single time when I hear that one person wants to learn about Big Data and is no longer interested in learning about relational database, I find it as a bit far stretched. I am not here to give ambiguous answers of It Depends. I am personally very clear that one who is aspiring to become Big Data Scientist or Big Data Expert they should learn about relational database. NoSQL Movement The reason for the NoSQL Movement in recent time was because of the two important advantages of the NoSQL databases. Performance Flexible Schema In personal experience I have found that when I use NoSQL I have found both of the above listed advantages when I use NoSQL database. There are instances when I found relational database too much restrictive when my data is unstructured as well as they have in the datatype which my Relational Database does not support. It is the same case when I have found that NoSQL solution performing much better than relational databases. I must say that I am a big fan of NoSQL solutions in the recent times but I have also seen occasions and situations where relational database is still perfect fit even though the database is growing increasingly as well have all the symptoms of the big data. Situations in Relational Database Outperforms Adhoc reporting is the one of the most common scenarios where NoSQL is does not have optimal solution. For example reporting queries often needs to aggregate based on the columns which are not indexed as well are built while the report is running, in this kind of scenario NoSQL databases (document database stores, distributed key value stores) database often does not perform well. In the case of the ad-hoc reporting I have often found it is much easier to work with relational databases. SQL is the most popular computer language of all the time. I have been using it for almost over 10 years and I feel that I will be using it for a long time in future. There are plenty of the tools, connectors and awareness of the SQL language in the industry. Pretty much every programming language has a written drivers for the SQL language and most of the developers have learned this language during their school/college time. In many cases, writing query based on SQL is much easier than writing queries in NoSQL supported languages. I believe this is the current situation but in the future this situation can reverse when No SQL query languages are equally popular. ACID (Atomicity Consistency Isolation Durability) – Not all the NoSQL solutions offers ACID compliant language. There are always situations (for example banking transactions, eCommerce shopping carts etc.) where if there is no ACID the operations can be invalid as well database integrity can be at risk. Even though the data volume indeed qualify as a Big Data there are always operations in the application which absolutely needs ACID compliance matured language. The Mixed Bag I have often heard argument that all the big social media sites now a days have moved away from Relational Database. Actually this is not entirely true. While researching about Big Data and Relational Database, I have found that many of the popular social media sites uses Big Data solutions along with Relational Database. Many are using relational databases to deliver the results to end user on the run time and many still uses a relational database as their major backbone. Here are a few examples: Facebook uses MySQL to display the timeline. (Reference Link) Twitter uses MySQL. (Reference Link) Tumblr uses Sharded MySQL (Reference Link) Wikipedia uses MySQL for data storage. (Reference Link) There are many for prominent organizations which are running large scale applications uses relational database along with various Big Data frameworks to satisfy their various business needs. Summary I believe that RDBMS is like a vanilla ice cream. Everybody loves it and everybody has it. NoSQL and other solutions are like chocolate ice cream or custom ice cream – there is a huge base which loves them and wants them but not every ice cream maker can make it just right  for everyone’s taste. No matter how fancy an ice cream store is there is always plain vanilla ice cream available there. Just like the same, there are always cases and situations in the Big Data’s story where traditional relational database is the part of the whole story. In the real world scenarios there will be always the case when there will be need of the relational database concepts and its ideology. It is extremely important to accept relational database as one of the key components of the Big Data instead of treating it as a substandard technology. Ray of Hope – NewSQL In this module we discussed that there are places where we need ACID compliance from our Big Data application and NoSQL will not support that out of box. There is a new termed coined for the application/tool which supports most of the properties of the traditional RDBMS and supports Big Data infrastructure – NewSQL. Tomorrow In tomorrow’s blog post we will discuss about NewSQL. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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• Big Data – Operational Databases Supporting Big Data – RDBMS and NoSQL – Day 12 of 21

  - by Pinal Dave

  In yesterday’s blog post we learned the importance of the Cloud in the Big Data Story. In this article we will understand the role of Operational Databases Supporting Big Data Story. Even though we keep on talking about Big Data architecture, it is extremely crucial to understand that Big Data system can’t just exist in the isolation of itself. There are many needs of the business can only be fully filled with the help of the operational databases. Just having a system which can analysis big data may not solve every single data problem. Real World Example Think about this way, you are using Facebook and you have just updated your information about the current relationship status. In the next few seconds the same information is also reflected in the timeline of your partner as well as a few of the immediate friends. After a while you will notice that the same information is now also available to your remote friends. Later on when someone searches for all the relationship changes with their friends your change of the relationship will also show up in the same list. Now here is the question – do you think Big Data architecture is doing every single of these changes? Do you think that the immediate reflection of your relationship changes with your family member is also because of the technology used in Big Data. Actually the answer is Facebook uses MySQL to do various updates in the timeline as well as various events we do on their homepage. It is really difficult to part from the operational databases in any real world business. Now we will see a few of the examples of the operational databases. Relational Databases (This blog post) NoSQL Databases (This blog post) Key-Value Pair Databases (Tomorrow’s post) Document Databases (Tomorrow’s post) Columnar Databases (The Day After’s post) Graph Databases (The Day After’s post) Spatial Databases (The Day After’s post) Relational Databases We have earlier discussed about the RDBMS role in the Big Data’s story in detail so we will not cover it extensively over here. Relational Database is pretty much everywhere in most of the businesses which are here for many years. The importance and existence of the relational database are always going to be there as long as there are meaningful structured data around. There are many different kinds of relational databases for example Oracle, SQL Server, MySQL and many others. If you are looking for Open Source and widely accepted database, I suggest to try MySQL as that has been very popular in the last few years. I also suggest you to try out PostgreSQL as well. Besides many other essential qualities PostgreeSQL have very interesting licensing policies. PostgreSQL licenses allow modifications and distribution of the application in open or closed (source) form. One can make any modifications and can keep it private as well as well contribute to the community. I believe this one quality makes it much more interesting to use as well it will play very important role in future. Nonrelational Databases (NOSQL) We have also covered Nonrelational Dabases in earlier blog posts. NoSQL actually stands for Not Only SQL Databases. There are plenty of NoSQL databases out in the market and selecting the right one is always very challenging. Here are few of the properties which are very essential to consider when selecting the right NoSQL database for operational purpose. Data and Query Model Persistence of Data and Design Eventual Consistency Scalability Though above all of the properties are interesting to have in any NoSQL database but the one which most attracts to me is Eventual Consistency. Eventual Consistency RDBMS uses ACID (Atomicity, Consistency, Isolation, Durability) as a key mechanism for ensuring the data consistency, whereas NonRelational DBMS uses BASE for the same purpose. Base stands for Basically Available, Soft state and Eventual consistency. Eventual consistency is widely deployed in distributed systems. It is a consistency model used in distributed computing which expects unexpected often. In large distributed system, there are always various nodes joining and various nodes being removed as they are often using commodity servers. This happens either intentionally or accidentally. Even though one or more nodes are down, it is expected that entire system still functions normally. Applications should be able to do various updates as well as retrieval of the data successfully without any issue. Additionally, this also means that system is expected to return the same updated data anytime from all the functioning nodes. Irrespective of when any node is joining the system, if it is marked to hold some data it should contain the same updated data eventually. As per Wikipedia - Eventual consistency is a consistency model used in distributed computing that informally guarantees that, if no new updates are made to a given data item, eventually all accesses to that item will return the last updated value. In other words -  Informally, if no additional updates are made to a given data item, all reads to that item will eventually return the same value. Tomorrow In tomorrow’s blog post we will discuss about various other Operational Databases supporting Big Data. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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• Myths about Coding Craftsmanship part 2

  - by tom

  Myth 3: The source of all bad code is inept developers and stupid people When you review code is this what you assume?  Shame on you.  You are probably making assumptions in your code if you are assuming so much already.  Bad code can be the result of any number of causes including but not limited to using dated techniques (like boxing when generics are available), not following standards (“look how he does the spacing between arguments!” or “did he really just name that variable ‘bln_Hello_Cats’?”), being redundant, using properties, methods, or objects in a novel way (like switching on button.Text between “Hello World” and “Hello World “ //clever use of space character… sigh), not following the SOLID principals, hacking around assumptions made in earlier iterations / hacking in features that should be worked into the overall design.  The first two issues, while annoying are pretty easy to spot and can be fixed so easily.  If your coding team is made up of experienced professionals who are passionate about staying current then these shouldn’t be happening.  If you work with a variety of skills, backgrounds, and experience then there will be some of this stuff going on.  If you have an opportunity to mentor such a developer who is receptive to constructive criticism don’t be a jerk; help them and the codebase will improve.  A little patience can improve the codebase, your work environment, and even your perspective. The novelty and redundancy I have encountered has often been the use of creativity when language knowledge was perceived as unavailable or too time consuming.  When developers learn on the job you get a lot of this.  Rather than going to MSDN developers will use what they know.  Depending on the constraints of their assignment hacking together what they know may seem quite practical.  This was not stupid though I often wonder how much time is actually “saved” by hacking.  These issues are often harder to untangle if we ever do.  They can also grow out of control as we write hack after hack to make it work and get back to some development that is satisfying. Hacking upon an existing hack is what I call “feeding the monster”.  Code monsters are anti-patterns and hacks gone wild.  The reason code monsters continue to get bigger is that they keep growing in scope, touching more and more of the application.  This is not the result of dumb developers. It is probably the result of avoiding design, not taking the time to understand the problems or anticipate or communicate the vision of the product.  If our developers don’t understand the purpose of a feature or product how do we expect potential customers to do so? Forethought and organization are often what is missing from bad code.  Developers who do not use the SOLID principals should be encouraged to learn these principals and be given guidance on how to apply them.  The time “saved” by giving hackers room to hack will be made up for and then some. Not as technical debt but as shoddy work that if not replaced will be struggled with again and again.  Bad code is not the result of dumb developers (usually) it is the result of trying to do too much without the proper resources and neglecting the right thing that needs doing with the first thoughtless thing that comes into our heads. Object oriented code is all about relationships between objects.  Coders who believe their coworkers are all fools tend to write objects that are difficult to work with, not eager to explain themselves, and perform erratically and irrationally.  If you constantly find you are surrounded by idiots you may want to ask yourself if you are being unreasonable, if you are being closed minded, of if you have chosen the right profession.  Opening your mind up to the idea that you probably work with rational, well-intentioned people will probably make you a better coder and it might even make you less grumpy.  If you are surrounded by jerks who do not engage in the exchange of ideas who do not care about their customers or the durability of the code you are building together then I suggest you find a new place to work.  Myth 4: Customers don’t care about “beautiful” code Craftsmanship is customer focused because it means that the job was done right, the product will withstand the abuse, modifications, and scrutiny of our customers.  Users can appreciate a predictable timeline for a release, a product delivered on time and on budget, a feature set that does not interfere with the task(s) it is supporting, quick turnarounds on exception messages, self healing issues, and less issues.  These are all hindered by skimping on craftsmanship.  When we write data access and when we write reusable code.   What do you think?  Does bad code come primarily from low IQ individuals?  Do customers care about beautiful code?

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• MySQL Connect 8 Days Away - Replication Sessions

  - by Mat Keep

  Following on from my post about MySQL Cluster sessions at the forthcoming Connect conference, its now the turn of MySQL Replication - another technology at the heart of scaling and high availability for MySQL. Unless you've only just returned from a 6-month alien abduction, you will know that MySQL 5.6 includes the largest set of replication enhancements ever packaged into a single new release: - Global Transaction IDs + HA utilities for self-healing cluster..(yes both automatic failover and manual switchover available!) - Crash-safe slaves and binlog - Binlog Group Commit and Multi-Threaded Slaves for high performance - Replication Event Checksums and Time-Delayed replication - and many more There are a number of sessions dedicated to learn more about these important new enhancements, delivered by the same engineers who developed them. Here is a summary Saturday 29th, 13.00 Replication Tips and Tricks, Mats Kindahl In this session, the developers of MySQL Replication present a bag of useful tips and tricks related to the MySQL 5.5 GA and MySQL 5.6 development milestone releases, including multisource replication, using logs for auditing, handling filtering, examining the binary log, using relay slaves, splitting the replication stream, and handling failover. Saturday 29th, 17.30 Enabling the New Generation of Web and Cloud Services with MySQL 5.6 Replication, Lars Thalmann This session showcases the new replication features, including • High performance (group commit, multithreaded slave) • High availability (crash-safe slaves, failover utilities) • Flexibility and usability (global transaction identifiers, annotated row-based replication [RBR]) • Data integrity (event checksums) Saturday 29th, 1900 MySQL Replication Birds of a Feather In this session, the MySQL Replication engineers discuss all the goodies, including global transaction identifiers (GTIDs) with autofailover; multithreaded, crash-safe slaves; checksums; and more. The team discusses the design behind these enhancements and how to get started with them. You will get the opportunity to present your feedback on how these can be further enhanced and can share any additional replication requirements you have to further scale your critical MySQL-based workloads. Sunday 30th, 10.15 Hands-On Lab, MySQL Replication, Luis Soares and Sven Sandberg But how do you get started, how does it work, and what are the best practices and tools? During this hands-on lab, you will learn how to get started with replication, how it works, architecture, replication prerequisites, setting up a simple topology, and advanced replication configurations. The session also covers some of the new features in the MySQL 5.6 development milestone releases. Sunday 30th, 13.15 Hands-On Lab, MySQL Utilities, Chuck Bell Would you like to learn how to more effectively manage a host of MySQL servers and manage high-availability features such as replication? This hands-on lab addresses these areas and more. Participants will get familiar with all of the MySQL utilities, using each of them with a variety of options to configure and manage MySQL servers. Sunday 30th, 14.45 Eliminating Downtime with MySQL Replication, Luis Soares The presentation takes a deep dive into new replication features such as global transaction identifiers and crash-safe slaves. It also showcases a range of Python utilities that, combined with the Release 5.6 feature set, results in a self-healing data infrastructure. By the end of the session, attendees will be familiar with the new high-availability features in the whole MySQL 5.6 release and how to make use of them to protect and grow their business. Sunday 30th, 17.45 Scaling for the Web and the Cloud with MySQL Replication, Luis Soares In a Replication topology, high performance directly translates into improving read consistency from slaves and reducing the risk of data loss if a master fails. MySQL 5.6 introduces several new replication features to enhance performance. In this session, you will learn about these new features, how they work, and how you can leverage them in your applications. In addition, you will learn about some other best practices that can be used to improve performance. So how can you make sure you don't miss out - the good news is that registration is still open ;-) And just to whet your appetite, listen to the On-Demand webinar that presents an overview of MySQL 5.6 Replication.  

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• CRMIT’s HIGH VALUE CRM++ PLUGINS FOR CRM On DEMAND

  - by Soumo Das

  Customer satisfaction and experience being the two most considerable factors, these days businesses are on the lookout for automation tools that are world class, agile and keep quality at its core. CRMIT has developed such tools using cutting edge technologies and abstracting industry best practices and R&D.  Self Service Portal  With customers being so meticulous about regular updates and reliable access to their data, administrators just cannot think of walking a thin line. Surviving without a resource that provides a track of customer requirements for services available 24 x 7 can severely affect the productivity. In such a scenario, CRMIT’s Self Service Portal (SSP) is the best solution. This not only tracks the required customer data, but also allows companies to stay in tune with their employees, vendors and stakeholders.   One can directly sign up to become a CRMOD contact and SSP user. One need not use the database, as operations and interactions are d at run time. This is a fully configurable solution that tracks results periodically, thus making it easy for end users. It also offers better security and data visibility that enables users to progress smoothly. Quote and Order Management   When dealing with quotes, contracts and orders becomes complicated, only Quote & Order Management can work as a one-stop solution. CRMIT offers this great tool for managing all this information and for taking care of customer orders and service requirements.  This CRM On Demand plug-in allows one to create a new quote or copy the existing one. Products can be directly added from the product list of CRMOD and the pricing is calculated automatically. Quote can be generated and mailed to the external users in PDF, HTML and XLS formats. This not only allows management of quotes in an enhanced manner, but also supports various billing and tax calculation features that make work effortless.    Report Scheduler  When it comes to analyzing and providing statistics of various business processes currently running in an organization, one cannot depend on manual updates, which sometimes may be inaccurate or even delayed. CRMIT provides a SaaS based powerful solution - Report Scheduler - that allows CRM users to schedule reports as per the frequencies and then receive them as email attachments at the scheduled time.   With this powerful tool, administrators can control the report scheduler for assigning specific reports to specific users. After that, users can login and schedule any assigned report for viewing at particular intervals on monthly, weekly or daily basis. Additionally, users can also copy the mail to external users and can choose the preferred format. The best part is that sharing business data with third party become easy with this and for viewing reports, users need not log into their CRMOD account.  CRM On Demand Offline Solution CRM On-Demand Offline is another great CRM++ extension that allows one to work in both online and offline modes. Synchronizing both the modes is absolutely easy and offers ease while working. CRM OD offline works as an automation tool that not only improves efficiency, but also works as a backup in most cases. It is readily available as a windows application installer and requires users to be online only while validating and synchronizing. The best part is that working in the offline mode also works as a backup. 

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• Ubuntu 12.04 / 12.10 Randomly Freezing - nVidia?

  - by Alix Axel

  My Ubuntu install frequently freezes, sometimes showing a black screen (not very common anymore - in my latest installs), some other times the mouse and keyboard just fail to move and respond (not even Ctrl + Alt + F1 works) and some other times I'm able to move the mouse with a huge delay (2-5 seconds) but I'm not able to do/click anything. I have a pretty strong feeling that this problem is related to my graphic card drivers because: after hard reset, I usually get error reports about X.org / jockey it's common for artifacts to appear during loading / shutdown / whenever, for instance: pattern filled with £ during log off ugly-colored squared pattern during boot windows that are partially moved (i.e.: only the top half) Firefox renderings that leave the bottom ~30% of the page black These artifacts appear right before the system freezes. I've installed Ubuntu 12.04 LTS and after several failed attempts to get my dual monitor setup to work properly I tried installing the new 12.10 version, hoping that this new version would have this problem solved... Unfortunatly, that was not the case, so I reverted to Ubuntu 12.04. I've tried all the drivers in the Additional Drivers application (even the experimental ones), I've also tried the nvidia-current package from the PPA repository ubuntu-x-swat/x-updates as well as the nouveau OSS driver. Nothing (except no driver at all with a 640*480 resolution) at all seems stable. Here is the info of my graphic card: alix@alix-E500:~$ lspci | grep VGA 01:00.0 VGA compatible controller: NVIDIA Corporation G86 [GeForce 8400M G] (rev a1) alix@alix-E500:~$ sudo lshw -C video [sudo] password for alix: *-display description: VGA compatible controller product: G86 [GeForce 8400M G] vendor: NVIDIA Corporation physical id: 0 bus info: pci@0000:01:00.0 version: a1 width: 64 bits clock: 33MHz capabilities: pm msi pciexpress vga_controller bus_master cap_list rom configuration: driver=nouveau latency=0 resources: irq:16 memory:fd000000-fdffffff memory:d0000000-dfffffff memory:fa000000-fbffffff ioport:cc00(size=128) memory:fe0e0000-fe0fffff Right now, I don't even have my 22" monitor connected as I can't even get my laptop display to work properly and without freezes. I've searched, read and tried all that I could (over several fresh reinstalls) to fix the problem, but so far, no solution has proven definitive. I'm sorry I can't precise which symptom maps to each driver but I've been trying to solve this one on my own without logging what I'm doing, perhaps someone here will be able to point me to a certain-fix solution, if not I'll keep updating this question as I go along. Please let me know if any more info is needed to pinpoint the exact problem. Trying out NVIDIA accelerated graphics driver (version 173). The scrolling, minimizing / maximizing windows takes between 2 and 5 seconds to finalize. Context menus also pop up very slowly and the typing seems delayed by ~1 second. No critical issues so far. Firefox rendering of the Save Edits button is consistently messed up (random black lines in the top). Trying out NVIDIA accelerated graphics driver (version current) [Recommended]. All the delays mentioned above and the buggy rendering of the Save Edits button are gone, but I'm noticing that the whole screen flashes black for a couple of microseconds and while I was writing this test for the first time, the bottom 30% of the screen went black and I couldn't do anything (not even Ctrl + Alt + F1 would work). Had to force a hard reset. Also, the system hanged a little for a couple of seconds with the fade out of the "Restart" menu. Trying out NVIDIA accelerated graphics driver (*experimental*beta) (version experimental-304). Same symptoms as before, it crashed once while I was trying to install Chromium and again after a hard reset when I was trying to remove the driver. The bottom of the screen did not went black and I could move my mouse both times. Ctrl + Alt + F1 didn't work. The ugly-colored pattern also showed up during the second boot. Trying out NVIDIA accelerated graphics driver (*experimental*beta) (version experimental-307). The system crashed as soon as I clicked something. Had to do a fresh re-install. Trying out Nouveau: Accelerated Open Source driver for nVidia cards. Artifacts still show up during boot but other than that this one seems stable. As soon as I connected my second monitor, the responsiveness dropped a lot, animations and video are somewhat slow. I'm gonna try this solution http://askubuntu.com/a/98871/9018 later on.

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• MySql Connector/NET 6.7.4 GA has been released

  - by fernando

  MySQL Connector/Net 6.7.4, a new version of the all-managed .NET driver for MySQL has been released.  This is the GA, is feature complete. It is recommended for production environments.  It is appropriate for use with MySQL server versions 5.0-5.7.  It is now available in source and binary form from http://dev.mysql.com/downloads/connector/net/#downloads and mirror sites (note that not all mirror sites may be up to date at this point-if you can't find this version on some mirror, please try again later or choose another download site.) The 6.7 version of MySQL Connector/Net brings the following new features: -  WinRT Connector. -  Load Balancing support. -  Entity Framework 5.0 support. -  Memcached support for Innodb Memcached plugin. -  This version also splits the product in two: from now on, starting version 6.7, Connector/NET will include only the former Connector/NET ADO.NET driver, Entity Framework and ASP.NET providers (Core libraries of MySql.Data, MySql.Data.Entity & MySql.Web). While all the former product Visual Studio integration (Design support, Intellisense, Debugger) are available as part of MySql Windows Installer under the name "MySql for Visual Studio".  WinRT Connector  ------------------------------------------- Now you can write MySql data access apps in Windows Runtime (aka Store Apps) using the familiar API of Connector/NET for .NET.  Load Balancing Support  -------------------------------------------  Now you can setup a Replication or Cluster configuration in the backend, and Connector/NET will balance the load of queries among all servers making up the backend topology.  Entity Framework 5.0  -------------------------------------------  Connector/NET is now compatible with EF 5, including special features of EF 5 like spatial types.  Memcached  -------------------------------------------  Just setup Innodb memcached plugin and use Connector/NET new APIs to establish a client to MySql 5.6 server's memcached daemon.  Bug fixes included in this release: - Fix for Entity Framework when inserts data having Identity columns (Oracle bug #16494585). - Fix for Connector/NET cannot read data from a MySql table using UTF-16/UTF-32 (MySql bug #69169, Oracle bug #16776818). - Fix for Malformed query in Entity Framework when eager loading due to multiple projections (MySql bug #67183, Oracle bug #16872852). - Fix for database objects with 'dbo' prefix when using automatic migrations in Entity Framework 5.0 (Oracle bug #16909439). - Fix for bug IIS application pool reset worker process causes website to crash (Oracle bug #16909237, Mysql Bug #67665). - Fix for bug Error in LINQ to Entities query when using Distinct().Count() (MySql Bug #68513, Oracle bug #16950146). - Fix for occasionally return no data when socket connection is slow, interrupted or delayed (MySql bug #69039, Oracle bug #16950212). - Fix for ConstraintException when filling a datatable (MySql bug #65065, Oracle bug #16952323). - Fix for Data Provider is not found after uninstalling Mysql for visual studio (Oracle bug #16973456). - Fix for nested sql generated for LINQ to Entities query with Take and Order by (MySql bug #65723, Oracle bug #16973939). The documentation is available at http://dev.mysql.com/doc/refman/5.7/en/connector-net.html  Enjoy and thanks for the support!  --  Fernando Gonzalez Sanchez | Software Engineer |  Oracle MySQL Windows Experience Team, Connector/NET  Guadalajara | Jalisco | Mexico 

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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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• Efficiently separating Read/Compute/Write steps for concurrent processing of entities in Entity/Component systems

  - by TravisG

  Setup I have an entity-component architecture where Entities can have a set of attributes (which are pure data with no behavior) and there exist systems that run the entity logic which act on that data. Essentially, in somewhat pseudo-code: Entity { id; map<id_type, Attribute> attributes; } System { update(); vector<Entity> entities; } A system that just moves along all entities at a constant rate might be MovementSystem extends System { update() { for each entity in entities position = entity.attributes["position"]; position += vec3(1,1,1); } } Essentially, I'm trying to parallelise update() as efficiently as possible. This can be done by running entire systems in parallel, or by giving each update() of one system a couple of components so different threads can execute the update of the same system, but for a different subset of entities registered with that system. Problem In reality, these systems sometimes require that entities interact(/read/write data from/to) each other, sometimes within the same system (e.g. an AI system that reads state from other entities surrounding the current processed entity), but sometimes between different systems that depend on each other (i.e. a movement system that requires data from a system that processes user input). Now, when trying to parallelize the update phases of entity/component systems, the phases in which data (components/attributes) from Entities are read and used to compute something, and the phase where the modified data is written back to entities need to be separated in order to avoid data races. Otherwise the only way (not taking into account just "critical section"ing everything) to avoid them is to serialize parts of the update process that depend on other parts. This seems ugly. To me it would seem more elegant to be able to (ideally) have all processing running in parallel, where a system may read data from all entities as it wishes, but doesn't write modifications to that data back until some later point. The fact that this is even possible is based on the assumption that modification write-backs are usually very small in complexity, and don't require much performance, whereas computations are very expensive (relatively). So the overhead added by a delayed-write phase might be evened out by more efficient updating of entities (by having threads work more % of the time instead of waiting). A concrete example of this might be a system that updates physics. The system needs to both read and write a lot of data to and from entities. Optimally, there would be a system in place where all available threads update a subset of all entities registered with the physics system. In the case of the physics system this isn't trivially possible because of race conditions. So without a workaround, we would have to find other systems to run in parallel (which don't modify the same data as the physics system), other wise the remaining threads are waiting and wasting time. However, that has disadvantages Practically, the L3 cache is pretty much always better utilized when updating a large system with multiple threads, as opposed to multiple systems at once, which all act on different sets of data. Finding and assembling other systems to run in parallel can be extremely time consuming to design well enough to optimize performance. Sometimes, it might even not be possible at all because a system just depends on data that is touched by all other systems. Solution? In my thinking, a possible solution would be a system where reading/updating and writing of data is separated, so that in one expensive phase, systems only read data and compute what they need to compute, and then in a separate, performance-wise cheap, write phase, attributes of entities that needed to be modified are finally written back to the entities. The Question How might such a system be implemented to achieve optimal performance, as well as making programmer life easier? What are the implementation details of such a system and what might have to be changed in the existing EC-architecture to accommodate this solution?

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• Upcoming Carbon Tax in South Africa

  - by Evelyn Neumayr

  By Elena Avesani, Principal Product Strategy Manager, Oracle In 2012, the South Africa National Treasury announced the plan to impose a carbon tax to cut carbon emissions that are blamed for climate change. South Africa is ranked among the top 20 countries measured by absolute carbon dioxide emissions, with emissions per capita in the region of 10 metric tons per annum and over 90% of South Africa's energy produced by burning fossil fuels. The top 40 largest companies in the country are responsible for 207 million tons of carbon dioxide, directly emitting 20 percent of South Africa’s carbon output. The legislation, originally scheduled to be implemented from January 2015 to 31 December 2019, is now delayed to January 2016. It will levy a carbon tax of R120 (US$11) per ton of CO2, rising then by 10 percent a year until 2020, while all sectors bar electricity will be able to claim additional relief of at least 10 percent. The South African treasury proposed a 60 percent tax-free threshold on emissions for all sectors, including electricity, petroleum, iron, steel and aluminum. Oracle Environmental Accounting and Reporting (EA&R) supports these needs and guarantees consistency across organizations in how data is collected, retained, controlled, consolidated and used in calculating and reporting emissions inventory. EA&R also enables companies to develop an enterprise-wide data view that includes all 5 of the key sustainability categories: carbon emissions, energy, water, materials and waste. Thanks to its native integration with Oracle E-Business Suite and JD Edwards EnterpriseOne ERP Financials and Inventory Systems and the capability of capturing environmental data across business silos, Oracle Environmental Accounting and Reporting is uniquely positioned to support a strategic approach to carbon management that drives business value. Sources: Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} African Utility Week BDlive Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;}

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• Dynamically load and call delegates based on source data

  - by makerofthings7

  Assume I have a stream of records that need to have some computation. Records will have a combination of these functions run Sum, Aggregate, Sum over the last 90 seconds, or ignore. A data record looks like this: Date;Data;ID Question Assuming that ID is an int of some kind, and that int corresponds to a matrix of some delegates to run, how should I use C# to dynamically build that launch map? I'm sure this idea exists... it is used in Windows Forms which has many delegates/events, most of which will never actually be invoked in a real application. The sample below includes a few delegates I want to run (sum, count, and print) but I don't know how to make the quantity of delegates fire based on the source data. (say print the evens, and sum the odds in this sample) using System; using System.Threading; using System.Collections.Generic; internal static class TestThreadpool { delegate int TestDelegate(int parameter); private static void Main() { try { // this approach works is void is returned. //ThreadPool.QueueUserWorkItem(new WaitCallback(PrintOut), "Hello"); int c = 0; int w = 0; ThreadPool.GetMaxThreads(out w, out c); bool rrr =ThreadPool.SetMinThreads(w, c); Console.WriteLine(rrr); // perhaps the above needs time to set up6 Thread.Sleep(1000); DateTime ttt = DateTime.UtcNow; TestDelegate d = new TestDelegate(PrintOut); List<IAsyncResult> arDict = new List<IAsyncResult>(); int count = 1000000; for (int i = 0; i < count; i++) { IAsyncResult ar = d.BeginInvoke(i, new AsyncCallback(Callback), d); arDict.Add(ar); } for (int i = 0; i < count; i++) { int result = d.EndInvoke(arDict[i]); } // Give the callback time to execute - otherwise the app // may terminate before it is called //Thread.Sleep(1000); var res = DateTime.UtcNow - ttt; Console.WriteLine("Main program done----- Total time --> " + res.TotalMilliseconds); } catch (Exception e) { Console.WriteLine(e); } Console.ReadKey(true); } static int PrintOut(int parameter) { // Console.WriteLine(Thread.CurrentThread.ManagedThreadId + " Delegate PRINTOUT waited and printed this:"+parameter); var tmp = parameter * parameter; return tmp; } static int Sum(int parameter) { Thread.Sleep(5000); // Pretend to do some math... maybe save a summary to disk on a separate thread return parameter; } static int Count(int parameter) { Thread.Sleep(5000); // Pretend to do some math... maybe save a summary to disk on a separate thread return parameter; } static void Callback(IAsyncResult ar) { TestDelegate d = (TestDelegate)ar.AsyncState; //Console.WriteLine("Callback is delayed and returned") ;//d.EndInvoke(ar)); } }

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• Hopping/Tumbling Windows Could Introduce Latency.

  This is a pre-article to one I am going to be writing on adjusting an event’s time and duration to satisfy business process requirements but it is one that I think is really useful when understanding the way that Hopping/Tumbling windows work within StreamInsight.  A Tumbling window is just a special shortcut version of  a Hopping window where the width of the window is equal to the size of the hop Here is the simplest and often used definition for a Hopping Window.  You can find them all here public static CepWindowStream<CepWindow<TPayload>> HoppingWindow<TPayload>(     this CepStream<TPayload> source,     TimeSpan windowSize,     TimeSpan hopSize,     WindowInputPolicy inputPolicy,     HoppingWindowOutputPolicy outputPolicy )   And here is the definition for a Tumbling Window public static CepWindowStream<CepWindow<TPayload>> TumblingWindow<TPayload>(     this CepStream<TPayload> source,     TimeSpan windowSize,     WindowInputPolicy inputPolicy,     HoppingWindowOutputPolicy outputPolicy )   These methods allow you to group events into windows of a temporal size.  It is a really useful and simple feature in StreamInsight.  One of the downsides though is that the windows cannot be flushed until an event in a following window occurs.  This means that you will potentially never see some events or see them with a delay.  Let me explain. Remember that a stream is a potentially unbounded sequence of events. Events in StreamInsight are given a StartTime.  It is this StartTime that is used to calculate into which temporal window an event falls.  It is best practice to assign a timestamp from the source system and not one from the system clock on the processing server.  StreamInsight cannot know when a window is over.  It cannot tell whether you have received all events in the window or whether some events have been delayed which means that StreamInsight cannot flush the stream for you.   Imagine you have events with the following Timestamps 12:10:10 PM 12:10:20 PM 12:10:35 PM 12:10:45 PM 11:59:59 PM And imagine that you have defined a 1 minute Tumbling Window over this stream using the following syntax var HoppingStream = from shift in inputStream.TumblingWindow(TimeSpan.FromMinutes(1),HoppingWindowOutputPolicy.ClipToWindowEnd) select new WindowCountPayload { CountInWindow = (Int32)shift.Count() };   The events between 12:10:10 PM and 12:10:45 PM will not be seen until the event at 11:59:59 PM arrives.  This could be a real problem if you need to react to windows promptly This can always be worked around by using a different design pattern but a lot of the examples I see assume there is a constant, very frequent stream of events resulting in windows always being flushed. Further examples of using windowing in StreamInsight can be found here

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• Spotlight on Oracle Social Relationship Management. Social Enable Your Enterprise with Oracle SRM.

  - by Pat Ma

  Facebook is now the most popular site on the Internet. People are tweeting more than they send email. Because there are so many people on social media, companies and brands want to be there too. They want to be able to listen to social chatter, engage with customers on social, create great-looking Facebook pages, and roll out social-collaborative work environments within their organization. This is where Oracle Social Relationship Management (SRM) comes in. Oracle SRM is a product that allows companies to manage their presence with prospects and customers on social channels. Let's talk about two popular use cases with Oracle SRM. Easy Publishing - Companies now have an average of 178 social media accounts - with every product or geography or employee group creating their own social media channel. For example, if you work at an international hotel chain with every single hotel creating their own Facebook page for their location, that chain can have well over 1,000 social media accounts. Managing these channels is a mess - with logging in and out of every account, making sure that all accounts are on brand, and preventing rogue posts from destroying the brand. This is where Oracle SRM comes in. With Oracle Social Relationship Management, you can log into one window and post messages to all 1,000+ social channels at once. You can set up approval flows and have each account generate their own content but that content must be approved before publishing. The benefits of this are easy social media publishing, brand consistency across all channels, and protection of your brand from inappropriate posts. Monitoring and Listening - People are writing and talking about your company right now on social media. 75% of social media users have written a negative post about a brand after a poor customer service experience. Think about all the negative posts you see in your Facebook news feed about delayed flights or being on hold for 45 minutes. There is so much social chatter going on around your brand that it's almost impossible to keep up or comprehend what's going on. That's where Oracle SRM comes in. With Social Relationship Management, a company can monitor and listen to what people are saying about them on social channels. They can drill down into individual posts or get a high level view of trends and mentions. The benefits of this are comprehending what's being said about your brand and its competitors, understanding customers and their intent, and responding to negative posts before they become a PR crisis. Oracle SRM is part of Oracle Cloud. The benefits of cloud deployment for customers are faster deployments, less maintenance, and lower cost of ownership versus on-premise deployments. Oracle SRM also fits into Oracle's vision to social enable your enterprise. With Oracle SRM, social media is not just a marketing channel. Social media is also mechanism for sales, customer support, recruiting, and employee collaboration. For more information about how Oracle SRM can social enable your enterprise, please visit oracle.com/social. For more information about Oracle Cloud, please visit cloud.oracle.com.

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• ??????DataGuard?????????

  - by JaneZhang(???)

       ??????Apply,???log_archive_dest_n ?????“DELAY=",??:DELAY=360(?????),????360??(6??)???:SQL>alter system set log_archive_dest_2='SERVICE=standby LGWR SYNC AFFIRM DELAY=360 VALID_FOR=(ONLINE_LOGFILES,PRIMARY_ROLE) COMPRESSION=ENABLE  DB_UNIQUE_NAME=standby';    ??????DELAY??,??????????,???30???    ??????,?????????????(real-time apply ),DELAY????????,????????????,??,????alert log?????????????:WARNING: Managed Standby Recovery started with USING CURRENT LOGFILEDELAY 360 minutes specified at primary ignored <<<<<<<<<    ?????,??????????,?????????MRP,??:SQL> ALTER DATABASE RECOVER MANAGED STANDBY DATABASE CANCEL;SQL> ALTER DATABASE RECOVER MANAGED STANDBY DATABASE DISCONNECT FROM SESSION; ???????????:1. ?????????:SQL> show parameter log_archive_dest_2 NAME                                 TYPE        VALUE------------------------------------ ----------- ------------------------------log_archive_dest_2                   string      SERVICE=STANDBY LGWR SYNC AFFI                                                RM VALID_FOR=(ONLINE_LOGFILES,                                                PRIMARY_ROLE) DB_UNIQUE_NAME=S                                                TANDBY 2. ???????5??:SQL> alter system set log_archive_dest_2='SERVICE=STANDBY LGWR SYNC AFFIRM delay=5 VALID_FOR=(ONLINE_LOGFILES,PRIMARY_ROLE) DB_UNIQUE_NAME=STANDBY'; 3. ??????: ????:SQL> alter system switch logfile;System altered. SQL>  select max(sequence#) from v$archived_log; MAX(SEQUENCE#)--------------           28 ??:Wed Jun 13 19:48:53 2012Archived Log entry 14 added for thread 1 sequence 28 ID 0x4c9d8928 dest 1:ARCb: Archive log thread 1 sequence 28 available in 5 minute(s)Wed Jun 13 19:48:54 2012Media Recovery Delayed for 5 minute(s) (thread 1 sequence 28) <<<<<<<<????Wed Jun 13 19:53:54 2012Media Recovery Log /home/oracle/arch1/standby/1_28_757620395.arc<<<<<5??????????Media Recovery Waiting for thread 1 sequence 29 (in transit) ?????,???????:http://docs.oracle.com/cd/E11882_01/server.112/e25608/log_apply.htmOracle® Data Guard Concepts and Administration11g Release 2 (11.2)Part Number E25608-03

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• Wpf: Why is WriteableBitmap getting slower?

  - by fritz

  There is a simple MSDN example about WriteableBitmap. It shows how to draw a freehand line with the cursor by just updating one pixel when the mouse is pressed and is moving over a WPF -Image Control. writeableBitmap.Lock(); (...set the writeableBitmap.BackBuffers pixel value...) writeableBitmap.AddDirtyRect(new Int32Rect(column, row, 1, 1)); writeableBitmap.Unlock(); Now I'm trying to understand the following behaviour when moving the mouse pointer very fast: If the image/bitmap size is relatively small e.g. 800:600 pixel, then the last drawn pixel is always "synchronized" with the mouse pointers position, i.e. there is no delay, very fast reaction on mouse movements. But if the bitmap gets larger e.g. 1300:1050 pixel, you can notice a delay, the last drawn pixel always appear a bit delayed behind the moving mouse pointer. So as in both cases only one pixel gets updated with "AddDirtyRect", the reaction speed should be independent from the bitmap size!? But it seems that Writeablebitmap gets slower when it's size gets larger. Or does the whole bitmap somehow get transferred to the graphic device on every writeableBitmap.Unlock(); call , and not only the rectangle area speficied in the AddDirtyRect method? fritz

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• Accessing Yahoo realtime stock quotes

  - by DVK

  There's a fairly easy way of retrieving 15-minute delayed quotes off of Yahoo! Finance web site ("quotes.csv" API). However, so far I was unable to find any info on how to access real-time quotes. The hang-ups with real-time quotes are: Only available to logged-in user No API Non-obvious how to scrape the info - I'm somewhat convinced they are placed on the page by some weird Ajax call. So I was wondering if anyone had managed to develop a publically available solution to retrieve real-time quotes for a stock from Yahoo! Finance. Notes: Implementation language/framework need is flexible but Perl or Excel is highly preferred. Assume that security is not an issue - I'm willing to supply yahoo userid and pasword, even in cleartext. I'm not 100% hung up on Yahoo - they are merely the only provider of free realtime stock quotes I'm familiar with. if the same thing can be done with Google Finance, I'd be just as happy. This is for a personal project, so scalability/fault tolerance/etc... are not important. I'm looking for a "do the whole retrieval" library ideally, but if I'm pointed to partial solutions (e.g. how to retrieve info from Yahoo's user-logged-in pages; how to scrape realtime quotes from Yahoo's page) I can fill in the blanks. I saw Finance::YahooQuote but it does not seem to allow you to supply log-in information and appears to use the lagging quotes.csv API Thanks!

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• How do I get my custom WPF textbox to fill correctly?

  - by Dan Ryan

  I am trying to create a custom WPF textbox control that extends the standard textbox control but the extended textbox behaves differently when placed in control containers. Within my Window I have a stackpanel with a standard textbox and my extended textbox: <StackPanel Margin="10"> <TextBox Height="21" /> <l:SearchTextBox Search="SearchTextBox_Search" Height="21" Margin="0, 10, 0, 0" SearchMode="Delayed" HorizontalAlignment="Left" /> </StackPanel> The standard textbox stretches the length of the StackPanel whereas the custom textbox does not. How can I get the controls to behave the same? The styling for the custom textbox is shown below: <Style x:Key="{x:Type UIControls:SearchTextBox}" BasedOn="{StaticResource {x:Type TextBox}}" TargetType="{x:Type UIControls:SearchTextBox}"> <Setter Property="Template"> <Setter.Value> <ControlTemplate TargetType="{x:Type UIControls:SearchTextBox}"> <TextBox /> </ControlTemplate> </Setter.Value> </Setter> </Style>

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• SQL Server 2008 Express w/Adv Services Command Line Install

  - by RobC

  I'm attempting to include an install of SQL Server 2008 Express w/Adv. Services with an installation package, but am having a heck of a time getting the installation to complete. Typically, this installation will take place on brand-new servers that get shipped to new customers, but this won't always be the case: Sometimes, the installation will take place on machines already in use, and so I've been told the installer has to work for XP x86 and x64 and Win 7 x32 and x64. The command line I'm passing in is: setup.exe /ACTION=INSTALL /INSTANCENAME="MSSQLSERVER" /HIDECONSOLE /QS /FEATURES="SQLENGINE" "REPLICATION" "FULLTEXT" "RS" "BIDS" "SSMS" "SNAC_SDK" "OCS" /SECURITYMODE=SQL /SAPWD="aStrongPassword" /NPENABLED=1 /TCPENABLED=1 /SQLSYSADMINACCOUNTS="%USERDOMAIN%\Administrator" SQLSVCACCOUNT="NT AUTHORITY\Network Service" (This is only my most recent attempt, in which I used a SQLSYSADMINACCOUNTS value that I saw in a posting elsewhere on this site. I've tried lots of combinations from various sites.) The SQL installer's Summary.txt begins: Exit code (Decimal): -2068578304 Exit facility code: 1204 Exit error code: 0 Exit message: The specified credentials that were provided for the SQL Server service are not valid. To continue, provide a valid account and password for the SQL Server service. This seems simple enough to fix (and maybe I"m overlooking something obvious), which is why it's driving me nuts. If any of you have any suggestions, I'd appreciate it. (I've got to take off for the weekend, so don't interpret my delayed response as a lack of interest.) Thanks.

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• SoundManager2 has irregular latency

  - by Stefan Monov

  I'm playing some notes at regular intervals. Each one is delayed by a random number of milliseconds, creating a jarring irregular effect. How do I fix it? Note: I'm OK with some latency, just as long as it's consistent. Answers of the type "implement your own small SoundManager2 replacement, optimized for timing-sensitive playback" are OK, if you know how to do that :) but I'm trying to avoid rewriting my whole app in flash for now. For an example of app with zero audible latency see the flash-based ToneMatrix. Testcase (see it here live or get it in an zip): <head> <title></title> <script type="text/javascript" src="http://www.schillmania.com/projects/soundmanager2/script/soundmanager2.js"> </script> <script type="text/javascript"> soundManager.url = '.' soundManager.flashVersion = 9 soundManager.useHighPerformance = true soundManager.useFastPolling = true soundManager.autoLoad = true function recur(func, delay) { window.setTimeout(function() { recur(func, delay); func(); }, delay) } soundManager.onload = function() { var sound = soundManager.createSound("test", "test.mp3") recur(function() { sound.play() }, 300) } </script> </head> <body> </body> </html>

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• How does XMPP work with perl?

  - by TheGNUGuy

  Hey everybody, I am trying to make my own jabber bot but i have run into a little trouble. I have gotten my bot to respond to messages, however, if I try to change the bot's presence then it seems as though all of the messages you send to the bot get delayed. What I mean is when I run the script I change the presence so I can see that it is online. Then When I send it a message it takes 3 before the callback subroutine i have set up for messages gets called. After the 3rd message is sent and the chat subroutine is called it still process the first message I sent. This really doesn't pose TOO much of a problem except that I have it set up to log out when I send the message "logout" and it has to be followed by two more messages in order to log out. I am not sure what it is that I have to do to fix this but i think it has something to do with iq packets because I have an iq callback set as well and it gets called 2 times after setting the presence. Here is my source code: http://pastebin.com/MgKMhTML Thanks for your help!

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• LINQ - How to query a range of effective dates that only has start dates

  - by itchi

  I'm using C# 3.5 and EntityFramework. I have a list of items in the database that contain interest rates. Unfortunately this list only contains the Effective Start Date. I need to query this list for all items within a range. However, I can't see a way to do this without querying the database twice. (Although I'm wondering if delayed execution with EntityFramework is making only one call.) Regardless, I'm wondering if I can do this without using my context twice. internal IQueryable<Interest> GetInterests(DateTime startDate, DateTime endDate) { var FirstDate = Context.All().Where(x => x.START_DATE < startDate).Max(x => x.START_DATE); IQueryable<Interest> listOfItems = Context.All().Where(x => x.START_DATE >= FirstDate && x.START_DATE <= endDate); return listOfItems; }

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• Pitfalls and practical Use-Cases: Toplink, Hibernate, Eclipse Link, Ibatis ...

  - by Martin K.

  I worked a lot with Hibernate as my JPA implementation. In most cases it works fine! But I have also seen a lot of pitfalls: Remoting with persisted Objects is difficult, because Hibernate replaces the Java collections with its own collection implementation. So the every client must have the Hibernate .jar libraries. You have to take care on LazyLoading exceptions etc. One way to get around this problem is the use of webservices. Dirty checking is done against the Database without any lock. "Delayed SQL", causes that the data access isn't ACID compliant. (Lost data...) Implict Updates So we don't know if an object is modified or not (commit causes updates). Are there similar issues with Toplink, Eclipse Link and Ibatis? When should I use them? Have they a similar performance? Are there reasons to choose Eclipse Link/Toplink... over Hibernate?

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