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  • Edit form not being instanciated

    - by 47
    I have two models like this: class OptionsAndFeatures(models.Model): options = models.TextField(blank=True, null=True) entertainment = models.TextField(blank=True, null=True) seats_trim = models.TextField(blank=True, null=True) convenience = models.TextField(blank=True, null=True) body_exterior = models.TextField(blank=True, null=True) lighting = models.TextField(blank=True, null=True) safety = models.TextField(blank=True, null=True) powertrain = models.TextField(blank=True, null=True) suspension_handling = models.TextField(blank=True, null=True) specs_dimensions = models.TextField(blank=True, null=True) offroad_capability = models.TextField(blank=True, null=True) class Vehicle(models.Model): ... options_and_features = models.ForeignKey(OptionsAndFeatures, blank=True, null=True) I have a model form for the OptionsAndFeaturesclass that I'm using in both the add and edit views. In the add view it works just fine. But the edit view renders the OptionsAndFeatures as blank. The code for the edit view is as follows: def edit_vehicle(request, stock_number=None): vehicle = get_object_or_404(Vehicle, stock_number=stock_number) if request.method == 'POST': # save info else: vehicle_form = VehicleForm(instance=vehicle) photos = PhotosFormSet(instance=vehicle) options = OptionsForm(instance=vehicle) #render_to_reponse What could be the problem here?

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  • Update single field

    - by 47
    I have a Customer class which has a representative field....this field is initially blank but when the user opens up the details page of the chosen customer, they'll be given the open of representing this customer by clicking on a link. The template layout I was thinking of is this: <strong>Representative: </strong> {% if customer.representative %} {{ customer.representative }} {% else %} <a href="{% url representCustomer customer.id %}">Represent this customer.</a> {% endif %} All that remains is the view to effect this...this is where I'm stuck.

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  • Python: UTF-8 problems (again...)

    - by blahblah
    I have a database which is synchronized against an external web source twice a day. This web source contains a bunch of entries, which have names and some extra information about these names. Some of these names are silly and I want to rename them when inserting them into my own database. To rename these silly names, I have a standard dictionary as such: RENAME_TABLE = { "Wsird" : "Weird", ... } As you can see, this is where UTF-8 comes into play. This is the function which performs renaming of all the problematic entries: def rename_all_entries(): all_keys = RENAME_TABLE.keys() entries = Entry.objects.filter(name__in=all_keys) for entry in entries: entry.name = RENAME_TABLE[entry.name] entry.save() So it tries to find the old name in RENAME_TABLE and renames the entry if found. However, I get a KeyError exception when using RENAME_TABLE[entry.name]. Now I'm lost, what do I do? I have... # -*- coding: utf-8 -*- ...in the top of the Python file.

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  • How to display two QuerySets in one table?

    - by Mark
    I have two different QuerySets which both return a list of Users (with different fields). How can I display them both in one HTML table? One Query will always be a subset of the other; I just want to fill in the missing data with 0s. How can I do this?

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  • Count Records in Listing View

    - by 47
    I have these two models: class CommonVehicle(models.Model): year = models.ForeignKey(Year) series = models.ForeignKey(Series) engine = models.ForeignKey(Engine) body_style = models.ForeignKey(BodyStyle) ... class Vehicle(models.Model): objects = VehicleManager() stock_number = models.CharField(max_length=6, blank=False) vin = models.CharField(max_length=17, blank=False) common_vehicle = models.ForeignKey(CommonVehicle) .... What I want to do is to have a count of how many times a given CommonVehicle object is used in the Vehicle class. So far my attempts are giving me one number, which is a total of all the records. How can I have the count being the total appearances for each CommonVehicle

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  • Username already exists, when wanting to update userprofile in djago

    - by Ajirapsy
    Whenever i try try to update a userprofile on djano powered web, i get the error, username already exists, please provide another one. I am trying to get it to recognize the authenticated user. ALthough every other thing works, but it would not update until i specify a new username. views.py @login_required def editprofile(request): registeredmember = request.user.get_profile() if request.method == 'POST': userprofile_edit = RegistrationForm(request.POST, instance = registeredmember) if userprofile_edit.is_valid(): userprofile_edit.save() return HttpResponseRedirect('/profile/') else: userprofile_edit = RegistrationForm(instance = registeredmember) return render_to_response('carloan/editprofile.html', {'userprofile_edit': userprofile_edit}, context_instance=RequestContext(request))

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  • smartif tag not working out correctly

    - by 47
    I'm using the smartif tag from this snippet (I'm holding on with regards to upgrading to 1.2) in my template for a certain boolean field like so: {% if payment.extends_membership == "True" %} {% trans "Yes" %} {% else %} {% trans "No" %} {% endif %} But whatever the value of extends_membership I get only No as the output. What could be the problem?

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  • Some tables mixed together

    - by DJPython
    Hello. I have 2 different tables in my database. They have some variables common and some different. For example: Table1: ID Date Name Address Fax Table2: ID Date Name e-mail Telephone number I want to display data together sorted by date & ID but from both tables. For example, first displayed will be the newest record from first table, but the second one will be the record from another table posted right after first one. Hope everybody understand, sorry for my English. Cheers.

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  • Setting a form field's valule during validation

    - by LaundroMat
    Hi, I read about this issue already, but I'm having trouble understanding why I can't change the value of a form's field during validation. I have a form where a user can enter a decimal value. This value has to be higher than the initial value of the item the user is changing. During clean(), the value that was entered is checked against the item's previous value. I would like to be able to re-set the form field's value to the item's initial value when a user enters a lower value. Is this possible from within the clean() method, or am I forced to do this in the view? Somehow, it doesn't feel right to do this in the view... (To make matters more complicated, the form's fields are built up dynamically, meaning I have to override the form's clean() method instead of using the clean_() method). Thanks in advance!

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  • Adding nodes to MAAS server

    - by Yasith Tharindu
    I was able to install MAAS server using ubuntu 12.04. Then boot up nodes from he PXE. Then installed maas-precise-x86-64-commissioning through pxe. Now the installation is done. but im unable to commission with the MAAS server. It does not show it as a node and neither im unable to add it manually and end up with following error. Also what is the default username password for maas-precise-x86-64-commissioning. Im unable to login. This error when adding node manually. ERROR 2012-11-20 08:32:54,500 maas.maasserver ################################ Exception: timed out ################################ ERROR 2012-11-20 08:32:54,501 maas.maasserver Traceback (most recent call last): File "/usr/lib/python2.7/dist-packages/django/core/handlers/base.py", line 111, in get_response response = callback(request, *callback_args, **callback_kwargs) File "/usr/lib/python2.7/dist-packages/django/views/decorators/vary.py", line 22, in inner_func response = func(*args, **kwargs) File "/usr/lib/python2.7/dist-packages/piston/resource.py", line 166, in call result = self.error_handler(e, request, meth, em_format) File "/usr/lib/python2.7/dist-packages/piston/resource.py", line 164, in call result = meth(request, *args, **kwargs) File "/usr/lib/python2.7/dist-packages/maasserver/api.py", line 251, in dispatcher self, request, request.method, *args, **kwargs) File "/usr/lib/python2.7/dist-packages/maasserver/api.py", line 193, in perform_api_operation return method(handler, request, *args, **kwargs) File "/usr/lib/python2.7/dist-packages/maasserver/api.py", line 493, in new node = create_node(request) File "/usr/lib/python2.7/dist-packages/maasserver/api.py", line 418, in create_node return form.save() File "/usr/lib/python2.7/dist-packages/maasserver/forms.py", line 234, in save node = super(NodeWithMACAddressesForm, self).save() File "/usr/lib/python2.7/dist-packages/django/forms/models.py", line 363, in save fail_message, commit, construct=False) File "/usr/lib/python2.7/dist-packages/django/forms/models.py", line 85, in save_instance instance.save() File "/usr/lib/python2.7/dist-packages/maasserver/models.py", line 114, in save return super(CommonInfo, self).save(*args, **kwargs) File "/usr/lib/python2.7/dist-packages/django/db/models/base.py", line 460, in save self.save_base(using=using, force_insert=force_insert, force_update=force_update) File "/usr/lib/python2.7/dist-packages/django/db/models/base.py", line 570, in save_base created=(not record_exists), raw=raw, using=using) File "/usr/lib/python2.7/dist-packages/django/dispatch/dispatcher.py", line 172, in send response = receiver(signal=self, sender=sender, **named) File "/usr/lib/python2.7/dist-packages/maasserver/provisioning.py", line 485, in provision_post_save_Node profile, power_type, preseed_data) File "/usr/lib/python2.7/dist-packages/maasserver/provisioning.py", line 245, in call result = self.method(*args) 259,1 93% result = self.method(*args) File "/usr/lib/python2.7/xmlrpclib.py", line 1224, in call return self._send(self._name, args) File "/usr/lib/python2.7/xmlrpclib.py", line 1578, in _request verbose=self._verbose File "/usr/lib/python2.7/xmlrpclib.py", line 1264, in request return self.single_request(host, handler, request_body, verbose) File "/usr/lib/python2.7/xmlrpclib.py", line 1294, in single_request response = h.getresponse(buffering=True) File "/usr/lib/python2.7/httplib.py", line 1030, in getresponse response.begin() File "/usr/lib/python2.7/httplib.py", line 407, in begin version, status, reason = self._read_status() File "/usr/lib/python2.7/httplib.py", line 365, in _read_status line = self.fp.readline() File "/usr/lib/python2.7/socket.py", line 447, in readline data = self._sock.recv(self._rbufsize) timeout: timed out

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  • How to nest transactions nicely - &quot;begin transaction&quot; vs &quot;save transaction&quot; and SQL Server

    - by Brian Biales
    Do you write stored procedures that might be used by others?  And those others may or may not have already started a transaction?  And your SP does several things, but if any of them fail, you have to undo them all and return with a code indicating it failed? Well, I have written such code, and it wasn’t working right until I finally figured out how to handle the case when we are already in a transaction, as well as the case where the caller did not start a transaction.  When a problem occurred, my “ROLLBACK TRANSACTION” would roll back not just my nested transaction, but the caller’s transaction as well.  So when I tested the procedure stand-alone, it seemed to work fine, but when others used it, it would cause a problem if it had to rollback.  When something went wrong in my procedure, their entire transaction was rolled back.  This was not appreciated. Now, I knew one could "nest" transactions, but the technical documentation was very confusing.  And I still have not found the approach below documented anywhere.  So here is a very brief description of how I got it to work, I hope you find this helpful. My example is a stored procedure that must figure out on its own if the caller has started a transaction or not.  This can be done in SQL Server by checking the @@TRANCOUNT value.  If no BEGIN TRANSACTION has occurred yet, this will have a value of 0.  Any number greater than zero means that a transaction is in progress.  If there is no current transaction, my SP begins a transaction. But if a transaction is already in progress, my SP uses SAVE TRANSACTION and gives it a name.  SAVE TRANSACTION creates a “save point”.  Note that creating a save point has no effect on @@TRANCOUNT.  So my SP starts with something like this: DECLARE @startingTranCount int SET @startingTranCount = @@TRANCOUNT IF @startingTranCount > 0 SAVE TRANSACTION mySavePointName ELSE BEGIN TRANSACTION -- … Then, when ready to commit the changes, you only need to commit if we started the transaction ourselves: IF @startingTranCount = 0 COMMIT TRANSACTION And finally, to roll back just your changes so far: -- Roll back changes... IF @startingTranCount > 0 ROLLBACK TRANSACTION MySavePointName ELSE ROLLBACK TRANSACTION Here is some code that you can try that will demonstrate how the save points work inside a transaction. This sample code creates a temporary table, then executes selects and updates, documenting what is going on, then deletes the temporary table. if running in SQL Management Studio, set Query Results to: Text for best readability of the results. -- Create a temporary table to test with, we'll drop it at the end. CREATE TABLE #ATable( [Column_A] [varchar](5) NULL ) ON [PRIMARY] GO SET NOCOUNT ON -- Ensure just one row - delete all rows, add one DELETE #ATable -- Insert just one row INSERT INTO #ATable VALUES('000') SELECT 'Before TRANSACTION starts, value in table is: ' AS Note, * FROM #ATable SELECT @@trancount AS CurrentTrancount --insert into a values ('abc') UPDATE #ATable SET Column_A = 'abc' SELECT 'UPDATED without a TRANSACTION, value in table is: ' AS Note, * FROM #ATable BEGIN TRANSACTION SELECT 'BEGIN TRANSACTION, trancount is now ' AS Note, @@TRANCOUNT AS TranCount UPDATE #ATable SET Column_A = '123' SELECT 'Row updated inside TRANSACTION, value in table is: ' AS Note, * FROM #ATable SAVE TRANSACTION MySavepoint SELECT 'Save point MySavepoint created, transaction count now:' as Note, @@TRANCOUNT AS TranCount UPDATE #ATable SET Column_A = '456' SELECT 'Updated after MySavepoint created, value in table is: ' AS Note, * FROM #ATable SAVE TRANSACTION point2 SELECT 'Save point point2 created, transaction count now:' as Note, @@TRANCOUNT AS TranCount UPDATE #ATable SET Column_A = '789' SELECT 'Updated after point2 savepoint created, value in table is: ' AS Note, * FROM #ATable ROLLBACK TRANSACTION point2 SELECT 'Just rolled back savepoint "point2", value in table is: ' AS Note, * FROM #ATable ROLLBACK TRANSACTION MySavepoint SELECT 'Just rolled back savepoint "MySavepoint", value in table is: ' AS Note, * FROM #ATable SELECT 'Both save points were rolled back, transaction count still:' as Note, @@TRANCOUNT AS TranCount ROLLBACK TRANSACTION SELECT 'Just rolled back the entire transaction..., value in table is: ' AS Note, * FROM #ATable DROP TABLE #ATable The output should look like this: Note                                           Column_A ---------------------------------------------- -------- Before TRANSACTION starts, value in table is:  000 CurrentTrancount ---------------- 0 Note                                               Column_A -------------------------------------------------- -------- UPDATED without a TRANSACTION, value in table is:  abc Note                                 TranCount ------------------------------------ ----------- BEGIN TRANSACTION, trancount is now  1 Note                                                Column_A --------------------------------------------------- -------- Row updated inside TRANSACTION, value in table is:  123 Note                                                   TranCount ------------------------------------------------------ ----------- Save point MySavepoint created, transaction count now: 1 Note                                                   Column_A ------------------------------------------------------ -------- Updated after MySavepoint created, value in table is:  456 Note                                              TranCount ------------------------------------------------- ----------- Save point point2 created, transaction count now: 1 Note                                                        Column_A ----------------------------------------------------------- -------- Updated after point2 savepoint created, value in table is:  789 Note                                                     Column_A -------------------------------------------------------- -------- Just rolled back savepoint "point2", value in table is:  456 Note                                                          Column_A ------------------------------------------------------------- -------- Just rolled back savepoint "MySavepoint", value in table is:  123 Note                                                        TranCount ----------------------------------------------------------- ----------- Both save points were rolled back, transaction count still: 1 Note                                                            Column_A --------------------------------------------------------------- -------- Just rolled back the entire transaction..., value in table is:  abc

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  • SQL SERVER – Out of the Box – Activty and Performance Reports from SSSMS

    - by pinaldave
    SQL Server management Studio 2008 is wonderful tool and has many different features. Many times, an average user does not use them as they are not aware about these features. Today, we will learn one such feature. SSMS comes with many inbuilt performance and activity reports, but we do not use it to the full potential. Let us see how we can access these standard reports. Connect to SQL Server Node >> Right Click on it >> Go to Reports >> Click on Standard Reports >> Pick Any Report. Click to Enlarge You can see there are many reports, which an average users needs right away, are available there. Let me list all the reports available. Server Dashboard Configuration Changes History Schema Changes History Scheduler Health Memory Consumption Activity – All Blocking Transactions Activity – All Cursors Activity – All Sessions Activity – Top Sessions Activity – Dormant Sessions Activity -  Top Connections Top Transactions by Age Top Transactions by Blocked Transactions Count Top Transactions by Locks Count Performance – Batch Execution Statistics Performance – Object Execution Statistics Performance – Top Queries by Average CPU Time Performance – Top Queries by Average IO Performance – Top Queries by Total CPU Time Performance – Top Queries by Total IO Service Broker Statistics Transactions Log Shipping Status In fact, when you look at the above list, it is fairly clear that they are very thought out and commonly needed reports that are available in SQL Server 2008. Let us run a couple of reports and observe their result. Performance – Top Queries by Total CPU Time Click to Enlarge Memory Consumption Click to Enlarge There are options for custom reports as well, which we can configure. We will learn about them in some other post. Additionally, you can right click on the reports and export in Excel or PDF. I think this tool can really help those who are just looking for some quick details. Does any of you use this feature, or this feature has some limitations and You would like to see more features? Reference : Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, SQL, SQL Authority, SQL Optimization, SQL Performance, SQL Query, SQL Server, SQL Server Management Studio, SQL Tips and Tricks, T SQL, Technology

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  • Fraud Detection with the SQL Server Suite Part 1

    - by Dejan Sarka
    While working on different fraud detection projects, I developed my own approach to the solution for this problem. In my PASS Summit 2013 session I am introducing this approach. I also wrote a whitepaper on the same topic, which was generously reviewed by my friend Matija Lah. In order to spread this knowledge faster, I am starting a series of blog posts which will at the end make the whole whitepaper. Abstract With the massive usage of credit cards and web applications for banking and payment processing, the number of fraudulent transactions is growing rapidly and on a global scale. Several fraud detection algorithms are available within a variety of different products. In this paper, we focus on using the Microsoft SQL Server suite for this purpose. In addition, we will explain our original approach to solving the problem by introducing a continuous learning procedure. Our preferred type of service is mentoring; it allows us to perform the work and consulting together with transferring the knowledge onto the customer, thus making it possible for a customer to continue to learn independently. This paper is based on practical experience with different projects covering online banking and credit card usage. Introduction A fraud is a criminal or deceptive activity with the intention of achieving financial or some other gain. Fraud can appear in multiple business areas. You can find a detailed overview of the business domains where fraud can take place in Sahin Y., & Duman E. (2011), Detecting Credit Card Fraud by Decision Trees and Support Vector Machines, Proceedings of the International MultiConference of Engineers and Computer Scientists 2011 Vol 1. Hong Kong: IMECS. Dealing with frauds includes fraud prevention and fraud detection. Fraud prevention is a proactive mechanism, which tries to disable frauds by using previous knowledge. Fraud detection is a reactive mechanism with the goal of detecting suspicious behavior when a fraudster surpasses the fraud prevention mechanism. A fraud detection mechanism checks every transaction and assigns a weight in terms of probability between 0 and 1 that represents a score for evaluating whether a transaction is fraudulent or not. A fraud detection mechanism cannot detect frauds with a probability of 100%; therefore, manual transaction checking must also be available. With fraud detection, this manual part can focus on the most suspicious transactions. This way, an unchanged number of supervisors can detect significantly more frauds than could be achieved with traditional methods of selecting which transactions to check, for example with random sampling. There are two principal data mining techniques available both in general data mining as well as in specific fraud detection techniques: supervised or directed and unsupervised or undirected. Supervised techniques or data mining models use previous knowledge. Typically, existing transactions are marked with a flag denoting whether a particular transaction is fraudulent or not. Customers at some point in time do report frauds, and the transactional system should be capable of accepting such a flag. Supervised data mining algorithms try to explain the value of this flag by using different input variables. When the patterns and rules that lead to frauds are learned through the model training process, they can be used for prediction of the fraud flag on new incoming transactions. Unsupervised techniques analyze data without prior knowledge, without the fraud flag; they try to find transactions which do not resemble other transactions, i.e. outliers. In both cases, there should be more frauds in the data set selected for checking by using the data mining knowledge compared to selecting the data set with simpler methods; this is known as the lift of a model. Typically, we compare the lift with random sampling. The supervised methods typically give a much better lift than the unsupervised ones. However, we must use the unsupervised ones when we do not have any previous knowledge. Furthermore, unsupervised methods are useful for controlling whether the supervised models are still efficient. Accuracy of the predictions drops over time. Patterns of credit card usage, for example, change over time. In addition, fraudsters continuously learn as well. Therefore, it is important to check the efficiency of the predictive models with the undirected ones. When the difference between the lift of the supervised models and the lift of the unsupervised models drops, it is time to refine the supervised models. However, the unsupervised models can become obsolete as well. It is also important to measure the overall efficiency of both, supervised and unsupervised models, over time. We can compare the number of predicted frauds with the total number of frauds that include predicted and reported occurrences. For measuring behavior across time, specific analytical databases called data warehouses (DW) and on-line analytical processing (OLAP) systems can be employed. By controlling the supervised models with unsupervised ones and by using an OLAP system or DW reports to control both, a continuous learning infrastructure can be established. There are many difficulties in developing a fraud detection system. As has already been mentioned, fraudsters continuously learn, and the patterns change. The exchange of experiences and ideas can be very limited due to privacy concerns. In addition, both data sets and results might be censored, as the companies generally do not want to publically expose actual fraudulent behaviors. Therefore it can be quite difficult if not impossible to cross-evaluate the models using data from different companies and different business areas. This fact stresses the importance of continuous learning even more. Finally, the number of frauds in the total number of transactions is small, typically much less than 1% of transactions is fraudulent. Some predictive data mining algorithms do not give good results when the target state is represented with a very low frequency. Data preparation techniques like oversampling and undersampling can help overcome the shortcomings of many algorithms. SQL Server suite includes all of the software required to create, deploy any maintain a fraud detection infrastructure. The Database Engine is the relational database management system (RDBMS), which supports all activity needed for data preparation and for data warehouses. SQL Server Analysis Services (SSAS) supports OLAP and data mining (in version 2012, you need to install SSAS in multidimensional and data mining mode; this was the only mode in previous versions of SSAS, while SSAS 2012 also supports the tabular mode, which does not include data mining). Additional products from the suite can be useful as well. SQL Server Integration Services (SSIS) is a tool for developing extract transform–load (ETL) applications. SSIS is typically used for loading a DW, and in addition, it can use SSAS data mining models for building intelligent data flows. SQL Server Reporting Services (SSRS) is useful for presenting the results in a variety of reports. Data Quality Services (DQS) mitigate the occasional data cleansing process by maintaining a knowledge base. Master Data Services is an application that helps companies maintaining a central, authoritative source of their master data, i.e. the most important data to any organization. For an overview of the SQL Server business intelligence (BI) part of the suite that includes Database Engine, SSAS and SSRS, please refer to Veerman E., Lachev T., & Sarka D. (2009). MCTS Self-Paced Training Kit (Exam 70-448): Microsoft® SQL Server® 2008 Business Intelligence Development and Maintenance. MS Press. For an overview of the enterprise information management (EIM) part that includes SSIS, DQS and MDS, please refer to Sarka D., Lah M., & Jerkic G. (2012). Training Kit (Exam 70-463): Implementing a Data Warehouse with Microsoft® SQL Server® 2012. O'Reilly. For details about SSAS data mining, please refer to MacLennan J., Tang Z., & Crivat B. (2009). Data Mining with Microsoft SQL Server 2008. Wiley. SQL Server Data Mining Add-ins for Office, a free download for Office versions 2007, 2010 and 2013, bring the power of data mining to Excel, enabling advanced analytics in Excel. Together with PowerPivot for Excel, which is also freely downloadable and can be used in Excel 2010, is already included in Excel 2013. It brings OLAP functionalities directly into Excel, making it possible for an advanced analyst to build a complete learning infrastructure using a familiar tool. This way, many more people, including employees in subsidiaries, can contribute to the learning process by examining local transactions and quickly identifying new patterns.

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  • SQL query mixing aggregated results and single values

    - by Paul Flowerdew
    I have a table with transactions. Each transaction has a transaction ID, and accounting period (AP), and a posting value (PV), as well as other fields. Some of the IDs are duplicated, usually because the transaction was done in error. To give an example, part of the table might look like: ID PV AP 123 100 2 123 -100 5 In this case the transaction was added in AP2 then removed in AP5. Another example would be: ID PV AP 456 100 2 456 -100 5 456 100 8 In the first example, the problem is that if I am analyzing what was spent in AP2, there is a transaction in there which actually shouldn't be taken into account because it was taken out again in AP5. In the second example, the second two transactions shouldn't be taken into account because they cancel each other out. I want to label as many transactions as possible which shouldn't be taken into account as erroneous. To identify these transactions, I want to find the ones with duplicate IDs whose PVs sum to zero (like ID 123 above) or transactions where the PV of the earliest one is equal to sum(PV), as in the second example. This second condition is what is causing me grief. So far I have SELECT * FROM table WHERE table.ID IN (SELECT table.ID FROM table GROUP BY table.ID HAVING COUNT(*) > 1 AND (SUM(table.PV) = 0 OR SUM(table.PV) = <PV of first transaction in each group>)) ORDER BY table.ID; The bit in chevrons is what I'm trying to do and I'm stuck. Can I do it like this or is there some other method I can use in SQL to do this? Edit 1: Btw I forgot to say that I'm using SQL Compact 3.5, in case it matters. Edit 2: I think the code snippet above is a bit misleading. I still want to mark out transactions with duplicate IDs where sum(PV) = 0, as in the first example. But where the PV of the earliest transaction = sum(PV), as in the second example, what I actually want is to keep the earliest transaction and mark out all the others with the same ID. Sorry if that caused confusion. Edit 3: I've been playing with Clodoaldo's solution and have made some progress, but still can't get quite what I want. I'm trying to get the transactions I know for certain to be erroneous. Suppose the following transactions are also in the table: ID PV AP 789 100 2 789 200 5 789 -100 8 In this example sum(PV) < 0 and the earliest PV < sum(PV) so I don't want to mark any of these out. If I modify Clodoaldo's query as follows: select t.* from t left join ( select id, min(ap) as ap, sum(pv) as sum_pv from t group by id having sum(pv) <> 0 ) s on t.id = s.id and t.ap = s.ap and t.pv = s.sum_pv where s.id is null This gives the result ID PV AP 123 100 2 123 -100 5 456 -100 5 456 100 8 789 100 3 789 200 5 789 -100 8 Whilst the first 4 transactions are ok (they would be marked out), the 789 transactions are also there, and I don't want them. But I can't figure out how to modify the query so that they're not included. Any ideas?

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  • Saving child collections with NHibernate

    - by Ben
    Hi, I am in the process or learning NHibernate so bare with me. I have an Order class and a Transaction class. Order has a one to many association with transaction. The transaction table in my database has a not null constraint on the OrderId foreign key. Order class: public class Order { public virtual Guid Id { get; set; } public virtual DateTime CreatedOn { get; set; } public virtual decimal Total { get; set; } public virtual ICollection<Transaction> Transactions { get; set; } public Order() { Transactions = new HashSet<Transaction>(); } } Order Mapping: <class name="Order" table="Orders"> <cache usage="read-write"/> <id name="Id"> <generator class="guid"/> </id> <property name="CreatedOn" type="datetime"/> <property name="Total" type="decimal"/> <set name="Transactions" table="Transactions" lazy="false" inverse="true"> <key column="OrderId"/> <one-to-many class="Transaction"/> </set> Transaction Class: public class Transaction { public virtual Guid Id { get; set; } public virtual DateTime ExecutedOn { get; set; } public virtual bool Success { get; set; } public virtual Order Order { get; set; } } Transaction Mapping: <class name="Transaction" table="Transactions"> <cache usage="read-write"/> <id name="Id" column="Id" type="Guid"> <generator class="guid"/> </id> <property name="ExecutedOn" type="datetime"/> <property name="Success" type="bool"/> <many-to-one name="Order" class="Order" column="OrderId" not-null="true"/> Really I don't want a bidirectional association. There is no need for my transaction objects to reference their order object directly (I just need to access the transactions of an order). However, I had to add this so that Order.Transactions is persisted to the database: Repository: public void Update(Order entity) { using (ISession session = NHibernateHelper.OpenSession()) { using (ITransaction transaction = session.BeginTransaction()) { session.Update(entity); foreach (var tx in entity.Transactions) { tx.Order = entity; session.SaveOrUpdate(tx); } transaction.Commit(); } } } My problem is that this will then issue an update for every transaction on the order collection (regardless of whether it has changed or not). What I was trying to get around was having to explicitly save the transaction before saving the order and instead just add the transactions to the order and then save the order: public void Can_add_transaction_to_existing_order() { var orderRepo = new OrderRepository(); var order = orderRepo.GetById(new Guid("aa3b5d04-c5c8-4ad9-9b3e-9ce73e488a9f")); Transaction tx = new Transaction(); tx.ExecutedOn = DateTime.Now; tx.Success = true; order.Transactions.Add(tx); orderRepo.Update(order); } Although I have found quite a few articles covering the set up of a one-to-many association, most of these discuss retrieving of data and not persisting back. Many thanks, Ben

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  • which package i should choose, if i want to install virtualenv for python?

    - by hugemeow
    pip search just returns so many matches, i am confused about which package i should choose to install .. should i only install virtualenv? or i'd better also install virtualenv-commands and virtualenv-commands, etc, but i really don't know exactly what virtualenv-commands is ... mirror0@lab:~$ pip search virtualenv virtualenvwrapper - Enhancements to virtualenv virtualenv - Virtual Python Environment builder veh - virtualenv for hg pyutilib.virtualenv - PyUtilib utility for building custom virtualenv bootstrap scripts. envbuilder - A package for automatic generation of virtualenvs virtstrap-core - A bootstrapping mechanism for virtualenv+pip and shell scripts tox - virtualenv-based automation of test activities virtualenvwrapper-win - Port of Doug Hellmann's virtualenvwrapper to Windows batch scripts everyapp.bootstrap - Enhanced virtualenv bootstrap script creation. orb - pip/virtualenv shell script wrapper monupco-virtualenv-python - monupco.com registration agent for stand-alone Python virtualenv applications virtualenvwrapper-powershell - Enhancements to virtualenv (for Windows). A clone of Doug Hellmann's virtualenvwrapper RVirtualEnv - relocatable python virtual environment virtualenv-clone - script to clone virtualenvs. virtualenvcontext - switch virtualenvs with a python context manager lessrb - Wrapper for ruby less so that it's in a virtualenv. carton - make self-extracting virtualenvs virtualenv5 - Virtual Python 3 Environment builder clever-alexis - Clever redhead girl that builds and packs Python project with Virtualenv into rpm, deb, etc. kforgeinstall - Virtualenv bootstrap script for KForge pypyenv - Install PyPy in virtualenv virtualenv-distribute - Virtual Python Environment builder virtualenvwrapper.project - virtualenvwrapper plugin to manage a project work directory virtualenv-commands - Additional commands for virtualenv. rjm.recipe.venv - zc.buildout recipe to turn the entire buildout tree into a virtualenv virtualenvwrapper.bitbucket - virtualenvwrapper plugin to manage a project work directory based on a BitBucket repository tg_bootstrap - Bootstrap a TurboGears app in a VirtualEnv django-env - Automaticly manages virtualenv for django project virtual-node - Install node.js into your virtualenv django-environment - A plugin for virtualenvwrapper that makes setting up and creating new Django environments easier. vip - vip is a simple library that makes your python aware of existing virtualenv underneath. virtualenvwrapper.django - virtualenvwrapper plugin to create a Django project work directory terrarium - Package and ship relocatable python virtualenvs venv_dependencies - Easy to install any dependencies in a virtualenviroment(without making symlinks by hand and etc...) virtualenv-sh - Convenient shell interface to virtualenv virtualenvwrapper.github - Plugin for virtualenvwrapper to automatically create projects based on github repositories. virtualenvwrapper.configvar - Plugin for virtualenvwrapper to automatically export config vars found in your project level .env file. virtualenvwrapper-emacs-desktop - virtualenvwrapper plugin to control emacs desktop mode bootstrapper - Bootstrap Python projects with virtualenv and pip. virtualenv3 - Obsolete fork of virtualenv isotoma.depends.zope2_13_8 - Running zope in a virtualenv virtual-less - Install lessc into your virtualenv virtualenvwrapper.tmpenv - Temporary virtualenvs are automatically deleted when deactivated isotoma.plone.heroku - Tooling for running Plone on heroku in a virtualenv gae-virtualenv - Using virtualenv with zipimport on Google App Engine pinvenv - VirtualEnv plugins for pin isotoma.depends.plone4_1 - Running plone in a virtualenv virtualenv-tools - A set of tools for virtualenv virtualenvwrapper.npm - Plugin for virtualenvwrapper to automatically encapsulate inside the virtual environment any npm installed globaly when the venv is activated d51.django.virtualenv.test_runner - Simple package for running isolated Django tests from within virtualenv difio-virtualenv-python - Difio registration agent for stand-alone Python virtualenv applications VirtualEnvManager - A package to manage various virtual environments. virtualenvwrapper.gem - Plugin for virtualenvwrapper to automatically encapsulate inside the virtual environment any gems installed when the venv is activated

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  • Defines JEE 5 the handling of commit error using bean managed transactions?

    - by marabol
    I'm using glassfish 2.1 and 2.1.1. If I've a bean method annotated by @TransactionAttribute(value = TransactionAttributeType.REQUIRES_NEW). After doing some JPA stuff the commit fails in the afterCompletion-Phase of JTS. GlassFish logs this failure only. And the caller of this bean method has no chance to know something goes wrong. So I wonder, if there is any definition how a jee 5 server has to handle exceptions while commiting. I would expect any runtime exception. I'm using stateless beans. With SessionSynchronisation I could get the commit failue, if I use statefull beans. Is it possible to intercept, so I can throw an exception, that I've declared in my interface? This is the whole exception stacktrace: [#|2010-05-06T12:15:54.840+0000|WARNING|sun-appserver2.1|oracle.toplink.essentials.session.file:/C:/glassfish/domains/domain1/applications/j2ee-apps/my-ear-1.0.0-SNAPSHOT/my-jar-1.1.8_jar/-myPu.transaction|_ThreadID=25;_ThreadName=p: thread-pool-1; w: 15;_RequestID=67a475a1-25c3-4416-abea-0d159f715373;| java.lang.RuntimeException: Got exception during XAResource.end: oracle.jdbc.xa.OracleXAException at com.sun.enterprise.distributedtx.J2EETransactionManagerOpt.delistResource(J2EETransactionManagerOpt.java:224) at com.sun.enterprise.resource.ResourceManagerImpl.unregisterResource(ResourceManagerImpl.java:265) at com.sun.enterprise.resource.ResourceManagerImpl.delistResource(ResourceManagerImpl.java:223) at com.sun.enterprise.resource.PoolManagerImpl.resourceClosed(PoolManagerImpl.java:400) at com.sun.enterprise.resource.ConnectorAllocator$ConnectionListenerImpl.connectionClosed(ConnectorAllocator.java:72) at com.sun.gjc.spi.ManagedConnection.connectionClosed(ManagedConnection.java:639) at com.sun.gjc.spi.base.ConnectionHolder.close(ConnectionHolder.java:201) at com.sun.gjc.spi.jdbc40.ConnectionHolder40.close(ConnectionHolder40.java:519) at oracle.toplink.essentials.internal.databaseaccess.DatabaseAccessor.closeDatasourceConnection(DatabaseAccessor.java:394) at oracle.toplink.essentials.internal.databaseaccess.DatasourceAccessor.closeConnection(DatasourceAccessor.java:382) at oracle.toplink.essentials.internal.databaseaccess.DatabaseAccessor.closeConnection(DatabaseAccessor.java:417) at oracle.toplink.essentials.internal.databaseaccess.DatasourceAccessor.afterJTSTransaction(DatasourceAccessor.java:115) at oracle.toplink.essentials.threetier.ClientSession.afterTransaction(ClientSession.java:119) at oracle.toplink.essentials.internal.sessions.UnitOfWorkImpl.afterTransaction(UnitOfWorkImpl.java:1841) at oracle.toplink.essentials.transaction.AbstractSynchronizationListener.afterCompletion(AbstractSynchronizationListener.java:170) at oracle.toplink.essentials.transaction.JTASynchronizationListener.afterCompletion(JTASynchronizationListener.java:102) at com.sun.jts.jta.SynchronizationImpl.after_completion(SynchronizationImpl.java:154) at com.sun.jts.CosTransactions.RegisteredSyncs.distributeAfter(RegisteredSyncs.java:210) at com.sun.jts.CosTransactions.TopCoordinator.afterCompletion(TopCoordinator.java:2585) at com.sun.jts.CosTransactions.CoordinatorTerm.commit(CoordinatorTerm.java:433) at com.sun.jts.CosTransactions.TerminatorImpl.commit(TerminatorImpl.java:250) at com.sun.jts.CosTransactions.CurrentImpl.commit(CurrentImpl.java:623) at com.sun.jts.jta.TransactionManagerImpl.commit(TransactionManagerImpl.java:309) at com.sun.enterprise.distributedtx.J2EETransactionManagerImpl.commit(J2EETransactionManagerImpl.java:1029) at com.sun.enterprise.distributedtx.J2EETransactionManagerOpt.commit(J2EETransactionManagerOpt.java:398) at com.sun.ejb.containers.BaseContainer.completeNewTx(BaseContainer.java:3817) at com.sun.ejb.containers.BaseContainer.postInvokeTx(BaseContainer.java:3610) at com.sun.ejb.containers.BaseContainer.postInvoke(BaseContainer.java:1379) at com.sun.ejb.containers.BaseContainer.postInvoke(BaseContainer.java:1316) at com.sun.ejb.containers.EJBLocalObjectInvocationHandler.invoke(EJBLocalObjectInvocationHandler.java:205) at com.sun.ejb.containers.EJBLocalObjectInvocationHandlerDelegate.invoke(EJBLocalObjectInvocationHandlerDelegate.java:127) at $Proxy127.myNewTxMethod(Unknown Source) at mypackage.MyBean2.myMethod(MyBean2.java:197) at mypackage.MyBean2.myMethod2(MyBean2.java:166) at mypackage.MyBean2.myMethod3(MyBean2.java:105) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25) at java.lang.reflect.Method.invoke(Method.java:597) at com.sun.enterprise.security.application.EJBSecurityManager.runMethod(EJBSecurityManager.java:1011) at com.sun.enterprise.security.SecurityUtil.invoke(SecurityUtil.java:175) at com.sun.ejb.containers.BaseContainer.invokeTargetBeanMethod(BaseContainer.java:2920) at com.sun.ejb.containers.BaseContainer.intercept(BaseContainer.java:4011) at com.sun.ejb.containers.EJBLocalObjectInvocationHandler.invoke(EJBLocalObjectInvocationHandler.java:197) at com.sun.ejb.containers.EJBLocalObjectInvocationHandlerDelegate.invoke(EJBLocalObjectInvocationHandlerDelegate.java:127) at $Proxy158.myMethod3(Unknown Source) at mypackage.MyBean3.myMethod4(MyBean3.java:94) at mypackage.MyBean3.onMessage(MyBean3.java:85) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25) at java.lang.reflect.Method.invoke(Method.java:597) at com.sun.enterprise.security.SecurityUtil$2.run(SecurityUtil.java:181) at java.security.AccessController.doPrivileged(Native Method) at com.sun.enterprise.security.application.EJBSecurityManager.doAsPrivileged(EJBSecurityManager.java:985) at com.sun.enterprise.security.SecurityUtil.invoke(SecurityUtil.java:186) at com.sun.ejb.containers.BaseContainer.invokeTargetBeanMethod(BaseContainer.java:2920) at com.sun.ejb.containers.BaseContainer.intercept(BaseContainer.java:4011) at com.sun.ejb.containers.MessageBeanContainer.deliverMessage(MessageBeanContainer.java:1111) at com.sun.ejb.containers.MessageBeanListenerImpl.deliverMessage(MessageBeanListenerImpl.java:74) at com.sun.enterprise.connectors.inflow.MessageEndpointInvocationHandler.invoke(MessageEndpointInvocationHandler.java:179) at $Proxy192.onMessage(Unknown Source) at com.sun.messaging.jms.ra.OnMessageRunner.run(OnMessageRunner.java:258) at com.sun.enterprise.connectors.work.OneWork.doWork(OneWork.java:76) at com.sun.corba.ee.impl.orbutil.threadpool.ThreadPoolImpl$WorkerThread.run(ThreadPoolImpl.java:555) |#]

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  • What is a simple way to get ACID transactions with persistence on the local file system (in Java)?

    - by T.R.
    I'm working on a small (java) project where a website needs to maintain a (preferably comma-separated) list of registered e-mail addresses, nothing else, and be able to check if an address is in the list. I have no control over the hosting or the server's lack of database support. Prevayler seemed a good solution, but the website is a ghost town, with example code missing from just about everywhere it's supposed to be, so I'm a little wary. What other options are recommended for such a task?

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