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• Having trouble coming up with a good architecture for a client/server application

  - by rmw1985

  I am writing a remote backup service meant to support 1000+ users. It is going to use librsync to store reverse diffs (like rdiff-backup) and make data transfer efficient. My trouble is that I do not know the "best" way to implement the client/server model. I have thought of doing it like rsync/rdiff-backup do it by having the client open an SSH connection and running a server executable and communicating across pipes. Another alternative would be to write a server which would handle authentication and communicate with the client via SSL. The reason I have thought of this is that there is "state" information like how many backup jobs are setup, etc. that must be maintained. Another alternative that I have thought about is running a "web service" using Pylons or Django to handle the authentication, but I do not know how to bridge that the the "storage" side. Since I am using librsync, I cannot use "dumb" storage. Is there a way to pipe data through Pylons or Django to a server side handler that would do the rsync calculation? This seems to me like maybe a dumb question but I am sort of lost. Any tips or suggestions from more experienced developers would be extremely helpful.

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• mod_cgi , mod_fastcgi, mod_scgi , mod_wsgi, mod_python, FLUP. I don't know how many more. what is mo

  - by claws

  I recently learnt Python. I liked it. I just wanted to use it for web development. This thought caused all the troubles. But I like these troubles :) Coming from PHP world where there is only one way standardized. I expected the same and searched for python & apache. http://stackoverflow.com/questions/449055/setting-up-python-on-windows-apache says Stay away from mod_python. One common misleading idea is that mod_python is like mod_php, but for python. That is not true. So what is equivalent of mod_php in python? I need little clarification on this one http://stackoverflow.com/questions/219110/how-python-web-frameworks-wsgi-and-cgi-fit-together CGI, FastCGI and SCGI are language agnostic. You can write CGI scripts in Perl, Python, C, bash, or even Assembly :). So, I guess mod_cgi , mod_fastcgi, mod_scgi are their corresponding apache modules. Right? WSGI is some kind of optimized/improved inshort an efficient version specifically designed for python language only. In order to use this mod_wsgi is a way to go. right? This leaves out mod_python. What is it then? Apache - mod_fastcgi - FLUP (via CGI protocol) - Django (via WSGI protocol) Flup is another way to run with wsgi for any webserver that can speak FCGI, SCGI or AJP What is FLUP? What is AJP? How did Django come in the picture? These questions raise quetions about PHP. How is it actually running? What technology is it using? mod_php & mod_python what are the differences? In future if I want to use Perl or Java then again will I have to get confused? Kindly can someone explain things clearly and give a Complete Picture.

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• tipfy for Google App Engine: Is it stable? Can auth/session components of tipfy be used with webapp?

  - by cv12

  I am building a web application on Google App Engine that requires users to register with the application and subsequently authenticate with it and maintain sessions. I don't want to force users to have Google accounts. Also, the target audience for the application is the average non-geek, so I'm not very keen on using OpenID or OAuth. I need something simple like: User registers with an e-mail and password, and then can log back in with those credentials. I understand that this approach does not provide the security benefits of Google or OpenID authentication, but I am prepared to trade foolproof security for end-user convenience and hassle-free experience. I explored Django, but decided that consecutive deprecations from appengine-helper to app-engine-patch to django-nonrel may signal that path may be a bit risky in the long-term. I'd like to use a code base that is likely to be maintained consistently. I also explored standalone session/auth packages like gaeutilities and suas. GAEUtilities looked a bit immature (e.g., the code wasn't pythonic in places, in my opinion) and SUAS did not give me a lot of comfort with the cookie-only sessions. I could be wrong with my assessment of these two, so I would appreciate input on those (or others that may serve my objective). Finally, I recently came across tipfy. It appears to be based on Werkzeug and Alex Martelli spoke highly of it here on stackoverflow. I have two primary questions related to tipfy: As a framework, is it as mature as webapp? Is it stable and likely to be maintained for some time? Since my primary interest is the auth/session components, can those components of the tipfy framework be used with webapp, independent of the broader tipfy framework? If yes, I would appreciate a few pointers to how I could go about doing that.

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• What is the difference between .get() and .fetch(1)

  - by AutomatedTester

  I have written an app and part of it is uses a URL parser to get certain data in a ReST type manner. So if you put /foo/bar as the path it will find all the bar items and if you put /foo it will return all items below foo So my app has a query like data = Paths.all().filter('path =', self.request.path).get() Which works brilliantly. Now I want to send this to the UI using templates {% for datum in data %} <div class="content"> <h2>{{ datum.title }}</h2> {{ datum.content }} </div> {% endfor %} When I do this I get data is not iterable error. So I updated the Django to {% for datum in data.all %} which now appears to pull more data than I was giving it somehow. It shows all data in the datastore which is not ideal. So I removed the .all from the Django and changed the datastore query to data = Paths.all().filter('path =', self.request.path).fetch(1) which now works as I intended. In the documentation it says The db.get() function fetches an entity from the datastore for a Key (or list of Keys). So my question is why can I iterate over a query when it returns with fetch() but can't with get(). Where has my understanding gone wrong?

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• Advice: Python Framework Server/Worker Queue management (not Website)

  - by Muppet Geoff

  I am looking for some advice/opinions of which Python Framework to use in an implementation of multiple 'Worker' PCs co-ordinated from a central Queue Manager. For completeness, the 'Worker' PCs will be running Audio Conversion routines (which I do not need advice on, and have standalone code that works). The Audio conversion takes a long time, and I need to co-ordinate an arbitrary number of the 'Workers' from a central location, handing them conversion tasks (such as where to get the source files, or where to ask for the job configuration) with them reporting back some additional info, such as the runtime of the converted audio etc. At present, I have a script that makes a webservice call to get the 'configuration' for a conversion task, based on source files located on the worker already (we manually copy the source files to the worker, and that triggers a conversion routine). I want to change this, so that we can distribute conversion tasks ("Oy you, process this: xxx") based on availability, and in an ideal world, based on pending tasks too. There is a chance that Workers can go offline mid-conversion (but this is not likely). All the workers are Windows based, the co-ordinator can be WIndows or Linux. I have (in my initial searches) come across the following - and I know that some are cross-dependent: Celery (with RabbitMQ) Twisted Django Using a framework, rather than home-brewing, seems to make more sense to me right now. I have a limited timeframe in which to develop this functional extension. An additional consideration would be using a Framework that is compatible with PyQT/PySide so that I can write a simple UI to display Queue status etc. I appreciate that the specifics above are a little vague, and I hope that someone can offer me a pointer or two. Again: I am looking for general advice on which Python framework to investigate further, for developing a Server/Worker 'Queue management' solution, for non-web activities (this is why DJango didn't seem the right fit).

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• Layer 2 topology discovery

  - by pegah s

  I have been given a network (it is a LAN) comprised of switches and I need to discover the topology of that. (There may be Link Aggregation Groups (LAGs) in the network as well.) I have done a lot of search on layer 2 topology discovery and I have seen many articles talking about using SNMP MIBs or LLDP (I do not know which one is better or more practical, but all devices in my network support SNMP). But my problem is that I cannot find "the software to install and run" to actually see the topology map. I would really appreciate if someone could send me the website where I can download the code and use it. I have also found a lot of tools available online such as OpenNMS, Nagios, The Dude, LANsurveyor, SNMPwalk, and many more... But I cannot figure out which one is the best to pick. To summarize: what is the easiest simplest way to discover the layer 2 network topology?

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• Hyper-V networking....still not sure which way to go??

  - by CZhale

  We have our Hyper-V server up and running (Windows 2008 ENT SP2) and started to create some of our VMs. The server has 4 total nics. 2 onboard Broadcom 1gb nic cards and a pci dual port Intel Pro cards 1gb. Right now, I have setup 1 broadcom nic to be the hyper-v host nic, and setup the other broadcom nic for the VMs. We are not using the Intel Nics....should we be thinking about teaming?Link Aggregation?? I just want to achieve the best possible setup for the network, but have read many things for and against teaming the nics?? Thoughts?

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• Postfix - searching emails (logstash, greylog or other solution)

  - by Yarik Dot

  We are currently having ~100 servers and all of them are using remote syslog, so we have aggregated all logs on one server. The most questioned problem from our support team is: Has an email from .... to ... been delivered? I'd like to give to our support team access to some logging tool and some guide for searching in logs. What would you have recommended me? Or, do you know any other alternatives to test? The problem of grepping logs is that there is not sender and recipient address on one line. So I supposed, there might by some aggregation by email id.

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• Parallelism in .NET – Part 7, Some Differences between PLINQ and LINQ to Objects

  - by Reed

  In my previous post on Declarative Data Parallelism, I mentioned that PLINQ extends LINQ to Objects to support parallel operations.  Although nearly all of the same operations are supported, there are some differences between PLINQ and LINQ to Objects.  By introducing Parallelism to our declarative model, we add some extra complexity.  This, in turn, adds some extra requirements that must be addressed. In order to illustrate the main differences, and why they exist, let’s begin by discussing some differences in how the two technologies operate, and look at the underlying types involved in LINQ to Objects and PLINQ . LINQ to Objects is mainly built upon a single class: Enumerable.  The Enumerable class is a static class that defines a large set of extension methods, nearly all of which work upon an IEnumerable<T>.  Many of these methods return a new IEnumerable<T>, allowing the methods to be chained together into a fluent style interface.  This is what allows us to write statements that chain together, and lead to the nice declarative programming model of LINQ: double min = collection .Where(item => item.SomeProperty > 6 && item.SomeProperty < 24) .Min(item => item.PerformComputation()); .csharpcode, .csharpcode pre { font-size: small; color: black; font-family: consolas, "Courier New", courier, monospace; background-color: #ffffff; /*white-space: pre;*/ } .csharpcode pre { margin: 0em; } .csharpcode .rem { color: #008000; } .csharpcode .kwrd { color: #0000ff; } .csharpcode .str { color: #006080; } .csharpcode .op { color: #0000c0; } .csharpcode .preproc { color: #cc6633; } .csharpcode .asp { background-color: #ffff00; } .csharpcode .html { color: #800000; } .csharpcode .attr { color: #ff0000; } .csharpcode .alt { background-color: #f4f4f4; width: 100%; margin: 0em; } .csharpcode .lnum { color: #606060; } Other LINQ variants work in a similar fashion.  For example, most data-oriented LINQ providers are built upon an implementation of IQueryable<T>, which allows the database provider to turn a LINQ statement into an underlying SQL query, to be performed directly on the remote database. PLINQ is similar, but instead of being built upon the Enumerable class, most of PLINQ is built upon a new static class: ParallelEnumerable.  When using PLINQ, you typically begin with any collection which implements IEnumerable<T>, and convert it to a new type using an extension method defined on ParallelEnumerable: AsParallel().  This method takes any IEnumerable<T>, and converts it into a ParallelQuery<T>, the core class for PLINQ.  There is a similar ParallelQuery class for working with non-generic IEnumerable implementations. This brings us to our first subtle, but important difference between PLINQ and LINQ – PLINQ always works upon specific types, which must be explicitly created. Typically, the type you’ll use with PLINQ is ParallelQuery<T>, but it can sometimes be a ParallelQuery or an OrderedParallelQuery<T>.  Instead of dealing with an interface, implemented by an unknown class, we’re dealing with a specific class type.  This works seamlessly from a usage standpoint – ParallelQuery<T> implements IEnumerable<T>, so you can always “switch back” to an IEnumerable<T>.  The difference only arises at the beginning of our parallelization.  When we’re using LINQ, and we want to process a normal collection via PLINQ, we need to explicitly convert the collection into a ParallelQuery<T> by calling AsParallel().  There is an important consideration here – AsParallel() does not need to be called on your specific collection, but rather any IEnumerable<T>.  This allows you to place it anywhere in the chain of methods involved in a LINQ statement, not just at the beginning.  This can be useful if you have an operation which will not parallelize well or is not thread safe.  For example, the following is perfectly valid, and similar to our previous examples: double min = collection .AsParallel() .Select(item => item.SomeOperation()) .Where(item => item.SomeProperty > 6 && item.SomeProperty < 24) .Min(item => item.PerformComputation()); However, if SomeOperation() is not thread safe, we could just as easily do: double min = collection .Select(item => item.SomeOperation()) .AsParallel() .Where(item => item.SomeProperty > 6 && item.SomeProperty < 24) .Min(item => item.PerformComputation()); In this case, we’re using standard LINQ to Objects for the Select(…) method, then converting the results of that map routine to a ParallelQuery<T>, and processing our filter (the Where method) and our aggregation (the Min method) in parallel. PLINQ also provides us with a way to convert a ParallelQuery<T> back into a standard IEnumerable<T>, forcing sequential processing via standard LINQ to Objects.  If SomeOperation() was thread-safe, but PerformComputation() was not thread-safe, we would need to handle this by using the AsEnumerable() method: double min = collection .AsParallel() .Select(item => item.SomeOperation()) .Where(item => item.SomeProperty > 6 && item.SomeProperty < 24) .AsEnumerable() .Min(item => item.PerformComputation()); Here, we’re converting our collection into a ParallelQuery<T>, doing our map operation (the Select(…) method) and our filtering in parallel, then converting the collection back into a standard IEnumerable<T>, which causes our aggregation via Min() to be performed sequentially. This could also be written as two statements, as well, which would allow us to use the language integrated syntax for the first portion: var tempCollection = from item in collection.AsParallel() let e = item.SomeOperation() where (e.SomeProperty > 6 && e.SomeProperty < 24) select e; double min = tempCollection.AsEnumerable().Min(item => item.PerformComputation()); This allows us to use the standard LINQ style language integrated query syntax, but control whether it’s performed in parallel or serial by adding AsParallel() and AsEnumerable() appropriately. The second important difference between PLINQ and LINQ deals with order preservation.  PLINQ, by default, does not preserve the order of of source collection. This is by design.  In order to process a collection in parallel, the system needs to naturally deal with multiple elements at the same time.  Maintaining the original ordering of the sequence adds overhead, which is, in many cases, unnecessary.  Therefore, by default, the system is allowed to completely change the order of your sequence during processing.  If you are doing a standard query operation, this is usually not an issue.  However, there are times when keeping a specific ordering in place is important.  If this is required, you can explicitly request the ordering be preserved throughout all operations done on a ParallelQuery<T> by using the AsOrdered() extension method.  This will cause our sequence ordering to be preserved. For example, suppose we wanted to take a collection, perform an expensive operation which converts it to a new type, and display the first 100 elements.  In LINQ to Objects, our code might look something like: // Using IEnumerable<SourceClass> collection IEnumerable<ResultClass> results = collection .Select(e => e.CreateResult()) .Take(100); If we just converted this to a parallel query naively, like so: IEnumerable<ResultClass> results = collection .AsParallel() .Select(e => e.CreateResult()) .Take(100); We could very easily get a very different, and non-reproducable, set of results, since the ordering of elements in the input collection is not preserved.  To get the same results as our original query, we need to use: IEnumerable<ResultClass> results = collection .AsParallel() .AsOrdered() .Select(e => e.CreateResult()) .Take(100); This requests that PLINQ process our sequence in a way that verifies that our resulting collection is ordered as if it were processed serially.  This will cause our query to run slower, since there is overhead involved in maintaining the ordering.  However, in this case, it is required, since the ordering is required for correctness. PLINQ is incredibly useful.  It allows us to easily take nearly any LINQ to Objects query and run it in parallel, using the same methods and syntax we’ve used previously.  There are some important differences in operation that must be considered, however – it is not a free pass to parallelize everything.  When using PLINQ in order to parallelize your routines declaratively, the same guideline I mentioned before still applies: Parallelization is something that should be handled with care and forethought, added by design, and not just introduced casually.

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• OWB 11gR2 - Early Arriving Facts

  - by Dawei Sun

  A common challenge when building ETL components for a data warehouse is how to handle early arriving facts. OWB 11gR2 introduced a new feature to address this for dimensional objects entitled Orphan Management. An orphan record is one that does not have a corresponding existing parent record. Orphan management automates the process of handling source rows that do not meet the requirements necessary to form a valid dimension or cube record. In this article, a simple example will be provided to show you how to use Orphan Management in OWB. We first import a sample MDL file that contains all the objects we need. Then we take some time to examine all the objects. After that, we prepare the source data, deploy the target table and dimension/cube loading map. Finally, we run the loading maps, and check the data in target dimension/cube tables. OK, let’s start… 1. Import MDL file and examine sample project First, download zip file from here, which includes a MDL file and three source data files. Then we open OWB design center, import orphan_management.mdl by using the menu File->Import->Warehouse Builder Metadata. Now we have several objects in BI_DEMO project as below: Mapping LOAD_CHANNELS_OM: The mapping for dimension loading. Mapping LOAD_SALES_OM: The mapping for cube loading. Dimension CHANNELS_OM: The dimension that contains channels data. Cube SALES_OM: The cube that contains sales data. Table CHANNELS_OM: The star implementation table of dimension CHANNELS_OM. Table SALES_OM: The star implementation table of cube SALES_OM. Table SRC_CHANNELS: The source table of channels data, that will be loaded into dimension CHANNELS_OM. Table SRC_ORDERS and SRC_ORDER_ITEMS: The source tables of sales data that will be loaded into cube SALES_OM. Sequence CLASS_OM_DIM_SEQ: The sequence used for loading dimension CHANNELS_OM. Dimension CHANNELS_OM This dimension has a hierarchy with three levels: TOTAL, CLASS and CHANNEL. Each level has three attributes: ID (surrogate key), NAME and SOURCE_ID (business key). It has a standard star implementation. The orphan management policy and the default parent setting are shown in the following screenshots: The orphan management policy options that you can set for loading are: Reject Orphan: The record is not inserted. Default Parent: You can specify a default parent record. This default record is used as the parent record for any record that does not have an existing parent record. If the default parent record does not exist, Warehouse Builder creates the default parent record. You specify the attribute values of the default parent record at the time of defining the dimensional object. If any ancestor of the default parent does not exist, Warehouse Builder also creates this record. No Maintenance: This is the default behavior. Warehouse Builder does not actively detect, reject, or fix orphan records. While removing data from a dimension, you can select one of the following orphan management policies: Reject Removal: Warehouse Builder does not allow you to delete the record if it has existing child records. No Maintenance: This is the default behavior. Warehouse Builder does not actively detect, reject, or fix orphan records. (More details are at http://download.oracle.com/docs/cd/E11882_01/owb.112/e10935/dim_objects.htm#insertedID1) Cube SALES_OM This cube is references to dimension CHANNELS_OM. It has three measures: AMOUNT, QUANTITY and COST. The orphan management policy setting are shown as following screenshot: The orphan management policy options that you can set for loading are: No Maintenance: Warehouse Builder does not actively detect, reject, or fix orphan rows. Default Dimension Record: Warehouse Builder assigns a default dimension record for any row that has an invalid or null dimension key value. Use the Settings button to define the default parent row. Reject Orphan: Warehouse Builder does not insert the row if it does not have an existing dimension record. (More details are at http://download.oracle.com/docs/cd/E11882_01/owb.112/e10935/dim_objects.htm#BABEACDG) Mapping LOAD_CHANNELS_OM This mapping loads source data from table SRC_CHANNELS to dimension CHANNELS_OM. The operator CHANNELS_IN is bound to table SRC_CHANNELS; CHANNELS_OUT is bound to dimension CHANNELS_OM. The TOTALS operator is used for generating a constant value for the top level in the dimension. The CLASS_FILTER operator is used to filter out the “invalid” class name, so then we can see what will happen when those channel records with an “invalid” parent are loading into dimension. Some properties of the dimension operator in this mapping are important to orphan management. See the screenshot below: Create Default Level Records: If YES, then default level records will be created. This property must be set to YES for dimensions and cubes if one of their orphan management policies is “Default Parent” or “Default Dimension Record”. This property is set to NO by default, so the user may need to set this to YES manually. LOAD policy for INVALID keys/ LOAD policy for NULL keys: These two properties have the same meaning as in the dimension editor. The values are set to the same as the dimension value when user drops the dimension into the mapping. The user does not need to modify these properties. Record Error Rows: If YES, error rows will be inserted into error table when loading the dimension. REMOVE Orphan Policy: This property is used when removing data from a dimension. Since the dimension loading type is set to LOAD in this example, this property is disabled. Mapping LOAD_SALES_OM This mapping loads source data from table SRC_ORDERS and SRC_ORDER_ITEMS to cube SALES_OM. This mapping seems a little bit complicated, but operators in the red rectangle are used to filter out and generate the records with “invalid” or “null” dimension keys. Some properties of the cube operator in a mapping are important to orphan management. See the screenshot below: Enable Source Aggregation: Should be checked in this example. If the default dimension record orphan policy is set for the cube operator, then it is recommended that source aggregation also be enabled. Otherwise, the orphan management processing may produce multiple fact rows with the same default dimension references, which will cause an “unstable rowset” execution error in the database, since the dimension refs are used as update match attributes for updating the fact table. LOAD policy for INVALID keys/ LOAD policy for NULL keys: These two properties have the same meaning as in the cube editor. The values are set to the same as in the cube editor when the user drops the cube into the mapping. The user does not need to modify these properties. Record Error Rows: If YES, error rows will be inserted into error table when loading the cube. 2. Deploy objects and mappings We now can deploy the objects. First, make sure location SALES_WH_LOCAL has been correctly configured. Then open Control Center Manager by using the menu Tools->Control Center Manager. Expand BI_DEMO->SALES_WH_LOCAL, click SALES_WH node on the project tree. We can see the following objects: Deploy all the objects in the following order: Sequence CLASS_OM_DIM_SEQ Table CHANNELS_OM, SALES_OM, SRC_CHANNELS, SRC_ORDERS, SRC_ORDER_ITEMS Dimension CHANNELS_OM Cube SALES_OM Mapping LOAD_CHANNELS_OM, LOAD_SALES_OM Note that we deployed source tables as well. Normally, we import source table from database instead of deploying them to target schema. However, in this example, we designed the source tables in OWB and deployed them to database for the purpose of this demonstration. 3. Prepare and examine source data Before running the mappings, we need to populate and examine the source data first. Run SRC_CHANNELS.sql, SRC_ORDERS.sql and SRC_ORDER_ITEMS.sql as target user. Then we check the data in these three tables. Table SRC_CHANNELS SQL> select rownum, id, class, name from src_channels; Records 1~5 are correct; they should be loaded into dimension without error. Records 6,7 and 8 have null parents; they should be loaded into dimension with a default parent value, and should be inserted into error table at the same time. Records 9, 10 and 11 have “invalid” parents; they should be rejected by dimension, and inserted into error table. Table SRC_ORDERS and SRC_ORDER_ITEMS SQL> select rownum, a.id, a.channel, b.amount, b.quantity, b.cost from src_orders a, src_order_items b where a.id = b.order_id; Record 178 has null dimension reference; it should be loaded into cube with a default dimension reference, and should be inserted into error table at the same time. Record 179 has “invalid” dimension reference; it should be rejected by cube, and inserted into error table. Other records should be aggregated and loaded into cube correctly. 4. Run the mappings and examine the target data In the Control Center Manager, expand BI_DEMO-> SALES_WH_LOCAL-> SALES_WH-> Mappings, right click on LOAD_CHANNELS_OM node, click Start. Use the same way to run mapping LOAD_SALES_OM. When they successfully finished, we can check the data in target tables. Table CHANNELS_OM SQL> select rownum, total_id, total_name, total_source_id, class_id,class_name, class_source_id, channel_id, channel_name,channel_source_id from channels_om order by abs(dimension_key); Records 1,2 and 3 are the default dimension records for the three levels. Records 8, 10 and 15 are the loaded records that originally have null parents. We see their parents name (class_name) is set to DEF_CLASS_NAME. Those records whose CHANNEL_NAME are Special_4, Special_5 and Special_6 are not loaded to this table because of the invalid parent. Error Table CHANNELS_OM_ERR SQL> select rownum, class_source_id, channel_id, channel_name,channel_source_id, err$$$_error_reason from channels_om_err order by channel_name; We can see all the record with null parent or invalid parent are inserted into this error table. Error reason is “Default parent used for record” for the first three records, and “No parent found for record” for the last three. Table SALES_OM SQL> select a.*, b.channel_name from sales_om a, channels_om b where a.channels=b.channel_id; We can see the order record with null channel_name has been loaded into target table with a default channel_name. The one with “invalid” channel_name are not loaded. Error Table SALES_OM_ERR SQL> select a.amount, a.cost, a.quantity, a.channels, b.channel_name, a.err$$$_error_reason from sales_om_err a, channels_om b where a.channels=b.channel_id(+); We can see the order records with null or invalid channel_name are inserted into error table. If the dimension reference column is null, the error reason is “Default dimension record used for fact”. If it is invalid, the error reason is “Dimension record not found for fact”. Summary In summary, this article illustrated the Orphan Management feature in OWB 11gR2. Automated orphan management policies improve ETL developer and administrator productivity by addressing an important cause of cube and dimension load failures, without requiring developers to explicitly build logic to handle these orphan rows.

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• Elastic versus Distributed in caching.

  - by Mike Reys

  Until now, I hadn't heard about Elastic Caching yet. Today I read Mike Gualtieri's Blog entry. I immediately thought about Oracle Coherence and got a little scare throughout the reading. Elastic Caching is the next step after Distributed Caching. As we've always positioned Coherence as a Distributed Cache, I thought for a brief instance that Oracle had missed a new trend/technology. But then I started reading the characteristics of an Elastic Cache. Forrester definition: Software infrastructure that provides application developers with data caching services that are distributed across two or more server nodes that consistently perform as volumes grow can be scaled without downtime provide a range of fault-tolerance levels Hey wait a minute, doesn't Coherence fullfill all these requirements? Oh yes, I think it does! The next defintion in the article is about Elastic Application Platforms. This is mainly more of the same with the addition of code execution. Now there is analytics functionality in Oracle Coherence. The analytics capability provides data-centric functions like distributed aggregation, searching and sorting. Coherence also provides continuous querying and event-handling. I think that when it comes to providing an Elastic Application Platform (as in the Forrester definition), Oracle is close, nearly there. And what's more, as Elastic Platform is the next big thing towards the big C word, Oracle Coherence makes you cloud-ready ;-) There you go! Find more info on Oracle Coherence here.

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• Oracle vous invite à un atelier découverte Oracle Coherence composé d’une présentation du produit et de ses concepts, suivi par des exercices pratiques.

  - by mseika

  Oracle vous invite à un atelier découverte Oracle Coherence composé d’une présentation du produit et de ses concepts, suivi par des exercices pratiques. Objectifs : Cet atelier est destiné aux populations suivantes : architectes, développeurs, ainsi que les responsables de projets. Le format retenu (1 journée) pour cet atelier vous permettra de mesurer ce qu’Oracle Coherence peut apporter à votre entreprise ou vos clients au travers de quelques exercices. Cette journée de prise en main vous permettra de mieux comprendre : Le positionnement d’Oracle Coherence au travers des différents cas d’utilisation rencontrés sur le marché français Les concepts technique d’Oracle Coherence Création d’une grille de données distribuée Insérer et lire des données dans un cache distribué Effectuer une requête sur un cache distribué Effectuer une aggrégation sur un cache distribué Etc… En fonction de votre niveau il y aura toujours un exercice supplémentaire à réaliser… Pré-requis :Matériel : Pour la session, chaque participant doit disposer de son pc portable avec un minimum de 4Go de RAM (idéalement Windows XP ou 7). Sur le PC on doit trouver déjà installés les éléments suivants : un Jdk 6, Eclipse dans une version récente, et Coherence 3.7. Technique : Eclipse et  Programmation Java niveau débutant (vous devez être à l’aise pour créer un projet Java, utiliser des librairies, compiler, exécuter, créer des configurations de lancement Eclipse, etc…). Durée : 1 jour L'équipe Enablement Oracle France.NB: Merci de prévoir les frais liés au déjeuner qui n'est pas pris en charge par Oracle

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• Learn How to Use Oracle’s Spatial and BI Tools for Location-aware Predictive Analytics

  - by Mandy Ho

  November 29, 2-3pm EST Are you a OBIEE (Oracle Business Intelligence Enterprise Edition) user? Have Location data you'd like to incorporate into your analysis as well? This is a great webinar for you! Join us, as Oracle experts from both teams show how to perform perdictive analytics, network analytics and spatial analysis, combined together, in real world scenarios. We will include demos evaluating airline on-time performance and retail establishment performance.  Learn how to: - Gain better business insights and improve ROI with Oracle Spatial and Graph, Oracle Advanced Analytics, and Oracle Business Intelligence Enterprise Edition (OBIEE). - Streamline and remove the complexity of building applications with OBIEE’s built-in location and analytics features. - Create the statistical model, build interactive reports and dashboards including location analysis and map visualization, and incorporate network analytics for geomarketing and site scoring. - Perform location analysis and processing such as proximity, containment, geocoding, aggregation of geographic regions, and more. Speakers include Jayant Sharma, Director, Product Management, Oracle Spatial and Mapping Technologies; Jean Ihm, Principal Product Manager, Oracle Spatial and Mapping Technologies; and Abhinav Agarwal, OBIEE Product Management. Who should attend This webinar is appropriate for CIOs, business and technical managers, developers, and analysts involved in design and management of analytic applications and solutions where spatial analysis can add insight and value to business processes. Click here, or the link below to sign up today! https://www2.gotomeeting.com/register/764677554

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• WebCenter .NET Accelerator - Microsoft SharePoint Data via WSRP

  - by john.brunswick

  Platforms in the enterprise will never be homogeneous. As much as any vendor would enjoy having their single development or application technology be exclusively adopted by customers, too much legacy, time, education, innovation and vertical business needs exist to make using a single platform practical. JAVA and .NET are the two industry application platform heavyweights and more often than not, business users are leveraging various systems in their day to day activities that incorporate applications developed on top of both platforms. BEA Systems acquired Plumtree Software to complete their "liquid" view of data, stressing that regardless of a particular source system heterogeneous data could interoperate at not only through layers that allowed for data aggregation, but also at the "glass" or UI layer. The technical components that allowed the integration at the glass thrive today at Oracle, helping WebCenter to provide a rich composite application framework. Oracle Ensemble and the Oracle .NET Application Accelerator allow WebCenter to consume and interact with the UI layers provided by .NET applications and a series of other technologies. The beauty of the .NET accelerator is that it can consume any .NET application and act as a Web Services for Remote Portlets (WSRP) producer. I recently had a chance to leverage the .NET accelerator to expose a ASP .NET 2.0 (C#) application in the WebCenter UI (pictured above) and wanted to share a few tips to help others get started with similar integrations. I was using two virtual machines for the exercise - one with Windows Server 2003, running SharePoint and the other running WebCenter Spaces 11g. For my sample application data I ended up using SharePoint 2007 lists and calendars (MOSS 2007) to supply results using a .NET API for SharePoint.

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• Announcing Oracle-Demantra 12.2.1 Release

  - by user702295

  We are excited to announce Oracle Demantra 12.2.1 is now available for new and existing customers. All customers who are not incorporating Demantra with other VCP products are welcome to upgrade without any restrictions. Customers who are using Demantra in conjunction with VCP products will need to upgrade VCP to 12.2.1 which requires application and participation in Oracle E-Business Suite early adopter program. Demantra 12.2.1 includes a wide array of new features driven by customer requirements and needs. Key features include: ·       Streamlined import and export from Microsoft Excel ·       Support Gregorian Month data aggregation in weekly system ·       Multilanguage support for eleven languages ·       Promotion Calendar Optimization ·       Enhanced integration with Advanced Planning Command Center (VCP 12.2.1 Required) Demantra 12.2.1 will work with JD Edwards EnterpriseOne 9.1 using the AIA 11.4 for the Value Chain Planning Base Integration Pack. Demantra 12.2.1 will only work with VCP 12.2.1. Demantra 12.2.1 and VCP 12.2.1 will work with EBS 12.1.3 or EBS 12.2.1.

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• SQL SERVER – Fix: Error: 8117: Operand data type bit is invalid for sum operator

  - by pinaldave

  Here is the very interesting error I received from a reader. He has very interesting question. He attempted to use BIT filed in the SUM aggregation function and he got following error. He went ahead with various different datatype (i.e. INT, TINYINT etc) and he was able to do the SUM but with BIT he faced the problem. Error Received: Msg 8117, Level 16, State 1, Line 1 Operand data type bit is invalid for sum operator. Reproduction of the error: Set up the environment USE tempdb GO -- Preparing Sample Data CREATE TABLE TestTable (ID INT, Flag BIT) GO INSERT INTO TestTable (ID, Flag) SELECT 1, 0 UNION ALL SELECT 2, 1 UNION ALL SELECT 3, 0 UNION ALL SELECT 4, 1 GO SELECT * FROM TestTable GO Following script will work fine: -- This will work fine SELECT SUM(ID) FROM TestTable GO However following generate error: -- This will generate error SELECT SUM(Flag) FROM TestTable GO The workaround is to convert or cast the BIT to INT: -- Workaround of error SELECT SUM(CONVERT(INT, Flag)) FROM TestTable GO Clean up the setup -- Clean up DROP TABLE TestTable GO Workaround: As mentioned in above script the workaround is to covert the bit datatype to another friendly data types like INT, TINYINT etc. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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• links for 2011-02-25

  - by Bob Rhubart

  The (non) Importance of Language (Enterprise Architecture at Oracle) (tags: ping.fm entarch) ArchBeat (tags: ping.fm) Andrejus Baranovskis's Blog: Beware of Hackers - Keep ADF Task Flows inside WEB-INF Oracle ACE Director Andrejus Baranovskis with a word of caution. (tags: oracle oracleace otn adf) Introduction to WebCenter Personalization: The Conductor; (WebCenter Personalization) Steve Pepper offers an introduction to the Conductor component in Oracle WebCenter Personalization. (tags: oracle otn webcenter enterprise2.0) Batch Aggregation of files in BPEL process instances based on correlation AMIS Technology blog Oracle ACE Director Lucas Jellema shares his solution to a colleague's challenge. (tags: oracle otn oracleace soa bpel) Bradley D. Brown: Watch Out Larry...Here they Come! "Every Fortune 500 company that I've talked to in the last few months is trying to figure out their mobile strategy. Organizations are getting the push from the top down - i.e. executives are asking for data from their mobile devices." - Oracle ACE Director Brad Brown (tags: oracle otn ipad mobilecomputing entarch oracleace) Oracle Technology Network Developer Day - You are the future of Java. Boston, March 3. Designed for the enterprise professional, this event will teach you about the latest developments in the Java Virtual Machine, Java EE, Java SE, Java on the Desktop, and Embedded Java. Whether you're a developer or architect, or managing a team of them, this is an event you can't miss. (tags: oracle otn java)

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• What is a Data Warehouse?

  Typically Data Warehouses are considered to be non-volatile in comparison to traditional databasesdue to the fact that data within the warehouse does not change that often.  In addition, Data Warehouses typically represent data through the use of Multidimensional Conceptual Views that allow data to be extracted based on the view and the current position within the view. Common Data Warehouse Traits Relatively Non-volatile Data Supports Data Extraction and Analysis Optimized for Data Retrieval and Analysis Multidimensional Views of Data Flexible Reporting Multi User Support Generic Dimensionality Transparent Accessible Unlimited Dimensions of Data Unlimited Aggregation levels of Data Normally, Data Warehouses are much larger then there traditional database counterparts due to the fact that they store the basis data along with derived data via Multidimensional Conceptual Views. As companies store larger and larger amounts of data, they will need a way to effectively and accurately extract analysis information that can be used to aide in formulating current and future business decisions. This process can be done currently through data mining within a Data Warehouse. Data Warehouses provide access to data derived through complex analysis, knowledge discovery and decision making. Secondly, they support the demands for high performance in regards to analyzing an organization’s existing and current data. Data Warehouses provide support for an organization’s data and acquired business knowledge.  Within a Data Warehouse multiple types of operations/sub systems are supported. Common Data Warehouse Sub Systems Online Analytical Processing (OLAP) Decision –Support Systems (DSS) Online Transaction Processing (OLTP)

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• Suggested Resources Visual Studio Plug-In

  Todays post is a quick plug for a new tool developed by my friend Olaf Conijn, who (amongst other things) has been a developer on several versions of Enterprise Library. His new tool is called Suggested Resources for .NET Developers, and the current 0.8 release works with both Visual Studio 2008 and Visual Studio 2010. So what does it do? Well heres what Olaf has to say: This Visual Studio Integration Package is a proof of concept in: Aggregation of online content within the Visual Studio IDE. Analysis of development activities within the Visual Studio IDE. This combination of features allows Suggested Resources for .NET developers to pro-actively suggest online content that applies on the task being performed by a developer... A bit like having a programming pair that searches for online resources while you focus on getting the job done. For more info, screenshots and downloads, head to the Codeplex project site or the Visual Studio Gallery page.Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

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• CodePlex Daily Summary for Tuesday, June 25, 2013

  CodePlex Daily Summary for Tuesday, June 25, 2013Popular ReleasesCrmRestKit.js: CrmRestKit-2.6.1.js: Improvments for "ByQueryAll": Instead of defering unit all records are loaded, the progress-handler is invoked for each 50 records Added "progress-handler" support for "ByQueryAll" See: http://api.jquery.com/deferred.notify/* See Unit-tests for details ('Retrieve all with progress notification')VG-Ripper & PG-Ripper: VG-Ripper 2.9.44: changes NEW: Added Support for "ImgChili.net" links FIXED: Auto UpdaterMinesweeper by S. Joshi: Minesweeper 1.0.0.1: Zipped!Alfa: Alfa.Common 1.0.4923: Removed useless property ErrorMessage from StringRegularExpressionValidationRule Repaired ErrorWindow and disabled report button after click action Implemented: DateTimeRangeValidationRule DateTimeValidationRule DateValidationRule NotEmptyValidationRule NotNullValidationRule RequiredValidationRule StringMaxLengthValidationRule StringMinLengthValidationRule TimeValidationRule DateTimeToStringConverter DecimalToStringConverter StringToDateTimeConverter StringToDecima...Document.Editor: 2013.25: What's new for Document.Editor 2013.25: Improved Spell Check support Improved User Interface Minor Bug Fix's, improvements and speed upsStyleMVVM: 3.0.2: This is a minor feature and bug fix release Features: ExportWhenDebuggerIsAttacedAttribute - new attribute that marks an attribute to only be exported when the debugger is attahced InjectedFilterAttributeFilterProvider - new Attribute Filter provider for MVC that injects the attributes Performance Improvements - minor speed improvements all over, and Import collections is now 50% faster Bug Fixes: Open Generic Constraints are now respected when finding exports Fix for fluent registrat...Base64 File Converter: First release: - One file can be converted at a time. - Bytes to Base64 and Base64 to Bytes conversions are availableADExtractor - work with Active-Directory: V1.3.0.2: 1.3.0.2- added optional value-index to properties - added new aggregation "Literal" to pass-through values - added new SQL commandline-switch --db to override the connection string - added new global commandline-switch --quiet to reduce output to minimum 1.3.0.1- sub-property resolution now working with aggregation (ie. All(member.objectGuid)) 1.3.0.0- added correct formatting for guids (GuidFormatter)EMICHAG: EMICHAG NETMF 4.2: Alpha release of the 4.2 version.WPF Composites: Version 4.3.0: In this Beta release, I broke my code out into two separate projects. There is a core FasterWPF.dll with the minimal required functionality. This can run with only the Aero.dll and the Rx .dll's. Then, I have a FasterWPFExtras .dll that requires and supports the Extended WPF Toolkit™ Community Edition V 1.9.0 (including Xceed DataGrid) and the Thriple .dll. This is for developers who want more . . . Finally, you may notice the other OPTIONAL .dll's available in the download such as the Dyn...Windows.Forms.Controls Revisited (SSTA.WinForms): SSTA.WinForms 1.0.0: Latest stable releaseAscend 3D: Ascend 2.0: Release notes: Implemented bone/armature animation Refactored class hierarchy and naming Addressed high CPU usage issue during animation Updated the Blender exporter and Ascend model format (now XML) Created AscendViewer, a tool for viewing Ascend modelsIndent Guides for Visual Studio: Indent Guides v13: ImportantThis release does not support Visual Studio 2010. The latest stable release for VS 2010 is v12.1. Version History Changed in v13 Added page width guide lines Added guide highlighting options Fixed guides appearing over collapsed blocks Fixed guides not appearing in newly opened files Fixed some potential crashes Fixed lines going through pragma statements Various updates for VS 2012 and VS 2013 Removed VS 2010 support Changed in v12.1: Fixed crash when unable to start...Fluent Ribbon Control Suite: Fluent Ribbon Control Suite 2.1.0 - Prerelease d: Fluent Ribbon Control Suite 2.1.0 - Prerelease d(supports .NET 3.5, 4.0 and 4.5) Includes: Fluent.dll (with .pdb and .xml) Showcase Application Samples (not for .NET 3.5) Foundation (Tabs, Groups, Contextual Tabs, Quick Access Toolbar, Backstage) Resizing (ribbon reducing & enlarging principles) Galleries (Gallery in ContextMenu, InRibbonGallery) MVVM (shows how to use this library with Model-View-ViewModel pattern) KeyTips ScreenTips Toolbars ColorGallery *Walkthrough (do...Magick.NET: Magick.NET 6.8.5.1001: Magick.NET compiled against ImageMagick 6.8.5.10. Breaking changes: - MagickNET.Initialize has been made obsolete because the ImageMagick files in the directory are no longer necessary. - MagickGeometry is no longer IDisposable. - Renamed dll's so they include the platform name. - Image profiles can now only be accessed and modified with ImageProfile classes. - Renamed DrawableBase to Drawable. - Removed Args part of PathArc/PathCurvetoArgs/PathQuadraticCurvetoArgs classes. The...Three-Dimensional Maneuver Gear for Minecraft: TDMG 1.1.0.0 for 1.5.2: CodePlex???(????????) ?????????(???1/4) ??????????? ?????????? ???????????(??????????) ??????????????????????? ↑????、?????????????????????(???????) ???、??????????、?????????????????????、????????1.5?????????? Shift+W(????)??????????????????10°、?10°(?????????)???Hyper-V Management Pack Extensions 2012: HyperVMPE2012 (v1.0.1.126): Hyper-V Management Pack Extensions 2012 Beta ReleaseOutlook 2013 Add-In: Email appointments: This new version includes the following changes: - Ability to drag emails to the calendar to create appointments. Will gather all the recipients from all the emails and create an appointment on the day you drop the emails, with the text and subject of the last selected email (if more than one selected). - Increased maximum of numbers to display appointments to 30. You will have to uninstall the previous version (add/remove programs) if you had installed it before. Before unzipping the file...Caliburn Micro: WPF, Silverlight, WP7 and WinRT/Metro made easy.: Caliburn.Micro v1.5.2: v1.5.2 - This is a service release. We've fixed a number of issues with Tasks and IoC. We've made some consistency improvements across platforms and fixed a number of minor bugs. See changes.txt for details. Packages Available on Nuget Caliburn.Micro – The full framework compiled into an assembly. Caliburn.Micro.Start - Includes Caliburn.Micro plus a starting bootstrapper, view model and view. Caliburn.Micro.Container – The Caliburn.Micro inversion of control container (IoC); source code...SQL Compact Query Analyzer: 1.0.1.1511: Beta build of SQL Compact Query Analyzer Bug fixes: - Resolved issue where the application crashes when loading a database that contains tables without a primary key Features: - Displays database information (database version, filename, size, creation date) - Displays schema summary (number of tables, columns, primary keys, identity fields, nullable fields) - Displays the information schema views - Displays column information (database type, clr type, max length, allows null, etc) - Support...New Projectsalgorithm interview: Write some code for programming interview questionsAmbiTrack: AmbiTrack provides marker-free localization and tracking using an array of cameras, e.g. the PlayStation Eye.DSeX DragonSpeak eXtended Editor: Furcadia DragonSpeak EditorEasyProject: easy project is finel engineering project this sys made for easy way to manage emploees of a small business or organization .EDIVisualizer SDK: EDIVisualizer SDK is a software developpement kit (SDK) for creating plugin used by EDIVisualizer program.Flame: Interactive shell for scripting in IronRuby IronPython Powershell C#, with syntax highlighting, autocomplete,and for easily work within a .NET framework consoleFusion-io MS SQL Server scripts: Fusion-io's Sumeet Bansal shows how Microsoft SQL Server users can quickly determine whether their database will benefit from Fusion-io ioMemory products.hotelprimero: Proyecto de hotelImage filters: It's a simple image filter :)JSLint.NET: JSLint.NET is a wrapper for Douglas Crockford's JSLint, the JavaScript code quality tool. It can validate JavaScript anywhere .NET runs.KZ.Express.H: KZ.Express.Hmoleshop: moleshop???asp.net ???????B2C????，????????.net???????????。moleshop??asp.net mvc 4.0???，???.net 4.0??。 moleshop???????，??AL2.0 ????，????????????????，????????。PDF Generator Net Free Xml Parser: PDF Generator Net Free Xml Parser?XML?????????????????????。?????????????????????CSV?????????PDF???????????????????????。ScreenCatcher: ScreenCatcher is a program for creating screenshots.SharePoint Configuration Guidance for 21 CFR Part 11 Compliance – SP 2013: This CodePlex project provides the Paragon Solutions configurations and code to support 21 CFR Part 11 compliance with SharePoint 2013.Sky Editor: Save file editor for Pokémon Mystery Dungeon: Explorers of Sky with limited support for Explorers of Time and DarknessTRANCIS: For foundation and runnning online operations for Trancis.UGSF GRAND OUEST: UGSF GRAND OUESTWP.JS: WP.JS (Windows Phone (dot) Javascript) aims to be a compelling library for developing HTML5-based applications for Windows Phone 8.X-Aurora: X-Aurora ?? MVC3

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• ArchBeat Link-o-Rama for November 20, 2012

  - by Bob Rhubart

  Oracle Utilities Application Framework V4.2.0.0.0 Released | Anthony Shorten Principal Product Manager Anthony Shorten shares an overview of the changes implemented in the new release. Towards Ultra-Reusability for ADF - Adaptive Bindings | Duncan Mills "The task flow mechanism embodies one of the key value propositions of the ADF Framework," says Duncan Mills. "However, what if we could do more? How could we make task flows even more re-usable than they are today?" As you might expect, Duncan has answers for those questions. Oracle BPM Process Accelerators and process excellence | Andrew Richards "Process Accelerators are ready-to-deploy solutions based on best practices to simplify process management requirements," says Capgemini's Andrew Richards. "They are considered to be 'product grade,' meaning they have been designed; engineered, documented and tested by Oracle themselves to a level that they can be deployed as-is for a solution to a problem or extended as appropriate for a particular scenario." Oracle SOA Suite 11g PS 5 introduces BPEL with conditional correlation for aggregation scenarios | Lucas Jellema An extensive, detailed technical post from Oracle ACE Director Lucas Jellema. Check Box Support in ADF Tree Table Different Levels | Andrejus Baranovskis Oracle ACE Director Andrejus Baranovskis updates last year's "ADF Tree - How to Autoselect/Deselect Checkbox" post with new information. As Boom Lures App Creators, Tough Part Is Making a Living Great New York Times article about mobile app develoment also touches on other significant IT issues. Thought for the Day "Building large applications is still really difficult. Making them serve an organisation well for many years is almost impossible." — Malcolm P. Atkinson Source: SoftwareQuotes.com

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• Building Queries Systematically

  - by Jeremy Smyth

  The SQL language is a bit like a toolkit for data. It consists of lots of little fiddly bits of syntax that, taken together, allow you to build complex edifices and return powerful results. For the uninitiated, the many tools can be quite confusing, and it's sometimes difficult to decide how to go about the process of building non-trivial queries, that is, queries that are more than a simple SELECT a, b FROM c; A System for Building Queries When you're building queries, you could use a system like the following:  Decide which fields contain the values you want to use in our output, and how you wish to alias those fields Values you want to see in your output Values you want to use in calculations . For example, to calculate margin on a product, you could calculate price - cost and give it the alias margin. Values you want to filter with. For example, you might only want to see products that weigh more than 2Kg or that are blue. The weight or colour columns could contain that information. Values you want to order by. For example you might want the most expensive products first, and the least last. You could use the price column in descending order to achieve that. Assuming the fields you've picked in point 1 are in multiple tables, find the connections between those tables Look for relationships between tables and identify the columns that implement those relationships. For example, The Orders table could have a CustomerID field referencing the same column in the Customers table. Sometimes the problem doesn't use relationships but rests on a different field; sometimes the query is looking for a coincidence of fact rather than a foreign key constraint. For example you might have sales representatives who live in the same state as a customer; this information is normally not used in relationships, but if your query is for organizing events where sales representatives meet customers, it's useful in that query. In such a case you would record the names of columns at either end of such a connection. Sometimes relationships require a bridge, a junction table that wasn't identified in point 1 above but is needed to connect tables you need; these are used in "many-to-many relationships". In these cases you need to record the columns in each table that connect to similar columns in other tables. Construct a join or series of joins using the fields and tables identified in point 2 above. This becomes your FROM clause. Filter using some of the fields in point 1 above. This becomes your WHERE clause. Construct an ORDER BY clause using values from point 1 above that are relevant to the desired order of the output rows. Project the result using the remainder of the fields in point 1 above. This becomes your SELECT clause. A Worked Example   Let's say you want to query the world database to find a list of countries (with their capitals) and the change in GNP, using the difference between the GNP and GNPOld columns, and that you only want to see results for countries with a population greater than 100,000,000. Using the system described above, we could do the following:  The Country.Name and City.Name columns contain the name of the country and city respectively.  The change in GNP comes from the calculation GNP - GNPOld. Both those columns are in the Country table. This calculation is also used to order the output, in descending order To see only countries with a population greater than 100,000,000, you need the Population field of the Country table. There is also a Population field in the City table, so you'll need to specify the table name to disambiguate. You can also represent a number like 100 million as 100e6 instead of 100000000 to make it easier to read. Because the fields come from the Country and City tables, you'll need to join them. There are two relationships between these tables: Each city is hosted within a country, and the city's CountryCode column identifies that country. Also, each country has a capital city, whose ID is contained within the country's Capital column. This latter relationship is the one to use, so the relevant columns and the condition that uses them is represented by the following FROM clause:  FROM Country JOIN City ON Country.Capital = City.ID The statement should only return countries with a population greater than 100,000,000. Country.Population is the relevant column, so the WHERE clause becomes:  WHERE Country.Population > 100e6  To sort the result set in reverse order of difference in GNP, you could use either the calculation, or the position in the output (it's the third column): ORDER BY GNP - GNPOld or ORDER BY 3 Finally, project the columns you wish to see by constructing the SELECT clause: SELECT Country.Name AS Country, City.Name AS Capital,        GNP - GNPOld AS `Difference in GNP`  The whole statement ends up looking like this:  mysql> SELECT Country.Name AS Country, City.Name AS Capital, -> GNP - GNPOld AS `Difference in GNP` -> FROM Country JOIN City ON Country.Capital = City.ID -> WHERE Country.Population > 100e6 -> ORDER BY 3 DESC; +--------------------+------------+-------------------+ | Country            | Capital    | Difference in GNP | +--------------------+------------+-------------------+ | United States | Washington | 399800.00 | | China | Peking | 64549.00 | | India | New Delhi | 16542.00 | | Nigeria | Abuja | 7084.00 | | Pakistan | Islamabad | 2740.00 | | Bangladesh | Dhaka | 886.00 | | Brazil | Brasília | -27369.00 | | Indonesia | Jakarta | -130020.00 | | Russian Federation | Moscow | -166381.00 | | Japan | Tokyo | -405596.00 | +--------------------+------------+-------------------+ 10 rows in set (0.00 sec) Queries with Aggregates and GROUP BY While this system might work well for many queries, it doesn't cater for situations where you have complex summaries and aggregation. For aggregation, you'd start with choosing which columns to view in the output, but this time you'd construct them as aggregate expressions. For example, you could look at the average population, or the count of distinct regions.You could also perform more complex aggregations, such as the average of GNP per head of population calculated as AVG(GNP/Population). Having chosen the values to appear in the output, you must choose how to aggregate those values. A useful way to think about this is that every aggregate query is of the form X, Y per Z. The SELECT clause contains the expressions for X and Y, as already described, and Z becomes your GROUP BY clause. Ordinarily you would also include Z in the query so you see how you are grouping, so the output becomes Z, X, Y per Z.  As an example, consider the following, which shows a count of  countries and the average population per continent:  mysql> SELECT Continent, COUNT(Name), AVG(Population)     -> FROM Country     -> GROUP BY Continent; +---------------+-------------+-----------------+ | Continent     | COUNT(Name) | AVG(Population) | +---------------+-------------+-----------------+ | Asia          |          51 |   72647562.7451 | | Europe        |          46 |   15871186.9565 | | North America |          37 |   13053864.8649 | | Africa        |          58 |   13525431.0345 | | Oceania       |          28 |    1085755.3571 | | Antarctica    |           5 |          0.0000 | | South America |          14 |   24698571.4286 | +---------------+-------------+-----------------+ 7 rows in set (0.00 sec) In this case, X is the number of countries, Y is the average population, and Z is the continent. Of course, you could have more fields in the SELECT clause, and  more fields in the GROUP BY clause as you require. You would also normally alias columns to make the output more suited to your requirements. More Complex Queries  Queries can get considerably more interesting than this. You could also add joins and other expressions to your aggregate query, as in the earlier part of this post. You could have more complex conditions in the WHERE clause. Similarly, you could use queries such as these in subqueries of yet more complex super-queries. Each technique becomes another tool in your toolbox, until before you know it you're writing queries across 15 tables that take two pages to write out. But that's for another day...

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• Architecture- Tracking lead origin when data is submitted by a server

  - by Kevin

  I'm looking for some assistance in determining the least complex strategy for tracking leads on an affiliate's website. The idea is to make the affiliate's integration with my application as easy as possible. I've run into theoretical barriers, so i'm here to explore other options. Application Overview: This is a lead aggregation / distribution platform. We will be focusing on the affiliate portion of this website. Essentially affiliates sign up, enter in marketing campaigns and sell us their conversions. Problem to be solved: We want to track a lead's origin and other events on the affiliate site. We want to know what pages, ads, and forms they viewed before they converted. This can easily be solved with pixel tracking. Very straightforward. Theoretical Issues: I thought I would ask affiliates to place the pixel where I could log impressions and set a third party cookie when the pixel is first called. Then I could associate future impressions with this cookie. The problem is that when the visitor converts on the affiliate's site and I receive their information via HTTP POST from the Affiliate's server I wouldn't be able to access the cookie and associate it with the lead record unless the lead lands on my processor via a redirect and is then redirected back to the affiliate's landing page. I don't want to force the affiliates to submit their forms directly to my tracking site, so allowing them to make an HTTP POST from their server side form processor would be ideal. I've considered writing JavaScript to set a First Party cookie but this seems to make things more complicated for the affiliate. I also considered having the affiliate submit the lead's data via a conversion pixel. This seems to be the most ideal scenario so far as almost all pixels are as easy as copy/paste. The only complication comes from the conversion pixel- which would submit all of the lead information and the request would come from the visitor's machine so I could access my third party cookie.

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• OBIEE 11.1.1.6.5 Bundle Patch released Oct 2012

  - by user554629

  October  2012 OBIEE 11.1.1.6.5 Bundle Patch released Bundle patches are collection of controlled, well tested critical bug fixes for a specific product  which may include security contents and occasionally minor enhancements. These are cumulative in nature meaning the latest bundle patch in a particular series would include the contents of the previous bundle patches released.  A suite bundle patch is an aggregation of multiple product  bundle patches that are part of a product suite. For OBIEE on 11.1.1.6.0, we plan to run a monthly bundle patch cadence. 11.1.1.6.5 bundle patch- available for download from  My Oracle Support . - is cumulative, so it includes everything from previous updates- available for supported platforms ( Windows, Linux, Solaris, AIX, HPUX-IA ) Navigate to https://support.oracle.com and login- Knowledge Base tab  Select a product line [ Business Intelligence ]  Select a Task [ Patching and Maintenance ]  Click Search- Oct 23, 2012, OBIEE 11g: Required and Recommended Patches and Patch Sets, ID 1488475.1- 11.1.1.6.5 Published 19th October 2012 Note: The 11.1.1.6 versions on top of 11.1.1.6.0 are not upgrades, they are opatch fixes.  This is not an upgrade process like from OBIEE 10g to 11g, or from OBIEE 11.1.1.5 to 11.1.1.6.  It is much safer than applying any one-off fixes, which are not regression tested.  You will be more successful using 11.1.1.6.5.  

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• Are long methods always bad?

  - by wobbily_col

  So looking around earlier I noticed some comments about long methods being bad practice. I am not sure I always agree that long methods are bad (and would like opinions from others). For example I have some Django views that do a bit of processing of the objects before sending them to the view, a long method being 350 lines of code. I have my code written so that it deals with the paramaters - sorting / filtering the queryset, then bit by bit does some processing on the objects my query has returned. So the processing is mainly conditional aggregation, that has complex enough rules it can't easily be done in the database, so I have some variables declared outside the main loop then get altered during the loop. varaible_1 = 0 variable_2 = 0 for object in queryset : if object.condition_condition_a and variable_2 > 0 : variable 1+= 1 ..... ... . more conditions to alter the variables return queryset, and context So according to the theory I should factor out all the code into smaller methods, so That I have the view method as being maximum one page long. However having worked on various code bases in the past, I sometimes find it makes the code less readable, when you need to constantly jump from one method to the next figuring out all the parts of it, while keeping the outermost method in your head. I find that having a long method that is well formatted, you can see the logic more easily, as it isn't getting hidden away in inner methods. I could factor out the code into smaller methods, but often there is is an inner loop being used for two or three things, so it would result in more complex code, or methods that don't do one thing but two or three (alternatively I could repeat inner loops for each task, but then there will be a performance hit). So is there a case that long methods are not always bad? Is there always a case for writing methods, when they will only be used in one place?

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