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• URL length and content optimised for SEO

  - by Brendan Vogt

  I have done some reading on what URLS should look like for search engine optimisation, but I am curious to know how mine would like, I need some advice. I have a tutorial website, and my categories is something like: Web Development -> Client Side -> JavaScript So if I have a tutorial called "What is JavaScript?", is it good to have a URL that looks something like: www.MyWebsite.com/web-development/client-side/javascript/what-is-javascipt Or would something like this be more appropriate: www.MyWebsite.com/tutorials/what-is-javascipt Just curious because I also read that it is wise to have keywords in your URLs. Do I need to add the identifiers of each categories in the link as well, something like: www.MyWebsite.com/1/web-development/5/client-side/15/javascript/100/what-is-javascipt 1 is the unique identifier (primary key) of category web development 5 is the unique identifier (primary key) of category client side 15 is the unique identifier (primary key) of category javascript 100 is the unique identifier (primary key) of tutorial what is javascript UPDATE This is not a programming question so can someone please help migrate this to the correct Q&A site without devoting my questions?

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• mappedBy reference an unknown target entity property - hibernate error

  - by tommy

  first, my classes: User package com.patpuc.model; import java.util.List; import javax.persistence.Column; import javax.persistence.Entity; import javax.persistence.Id; import javax.persistence.OneToMany; import javax.persistence.Table; import com.patpuc.model.RolesMap; @Entity @Table(name = "users") public class User { @Id @Column(name = "USER_ID", unique = true, nullable = false) private int user_id; @Column(name = "NAME", nullable = false) private String name; @Column(name = "SURNAME", unique = true, nullable = false) private String surname; @Column(name = "USERNAME_U", unique = true, nullable = false) private String username_u; // zamiast username @Column(name = "PASSWORD", unique = true, nullable = false) private String password; @Column(name = "USER_DESCRIPTION", nullable = false) private String userDescription; @Column(name = "AUTHORITY", nullable = false) private String authority = "ROLE_USER"; @Column(name = "ENABLED", nullable = false) private int enabled; @OneToMany(mappedBy = "rUser") private List<RolesMap> rolesMap; public List<RolesMap> getRolesMap() { return rolesMap; } public void setRolesMap(List<RolesMap> rolesMap) { this.rolesMap = rolesMap; } /** * @return the user_id */ public int getUser_id() { return user_id; } /** * @param user_id * the user_id to set */ public void setUser_id(int user_id) { this.user_id = user_id; } /** * @return the name */ public String getName() { return name; } /** * @param name * the name to set */ public void setName(String name) { this.name = name; } /** * @return the surname */ public String getSurname() { return surname; } /** * @param surname * the surname to set */ public void setSurname(String surname) { this.surname = surname; } /** * @return the username_u */ public String getUsername_u() { return username_u; } /** * @param username_u * the username_u to set */ public void setUsername_u(String username_u) { this.username_u = username_u; } /** * @return the password */ public String getPassword() { return password; } /** * @param password * the password to set */ public void setPassword(String password) { this.password = password; } /** * @return the userDescription */ public String getUserDescription() { return userDescription; } /** * @param userDescription * the userDescription to set */ public void setUserDescription(String userDescription) { this.userDescription = userDescription; } /** * @return the authority */ public String getAuthority() { return authority; } /** * @param authority * the authority to set */ public void setAuthority(String authority) { this.authority = authority; } /** * @return the enabled */ public int getEnabled() { return enabled; } /** * @param enabled * the enabled to set */ public void setEnabled(int enabled) { this.enabled = enabled; } @Override public String toString() { StringBuffer strBuff = new StringBuffer(); strBuff.append("id : ").append(getUser_id()); strBuff.append(", name : ").append(getName()); strBuff.append(", surname : ").append(getSurname()); return strBuff.toString(); } } RolesMap.java package com.patpuc.model; import javax.persistence.Column; import javax.persistence.Entity; import javax.persistence.Id; import javax.persistence.JoinColumn; import javax.persistence.ManyToOne; import javax.persistence.Table; import com.patpuc.model.User; @Entity @Table(name = "roles_map") public class RolesMap { private int rm_id; private String username_a; private String username_l; //private String username_u; private String password; private int role_id; @ManyToOne @JoinColumn(name="username_u", nullable=false) private User rUser; public RolesMap(){ } /** * @return the user */ public User getUser() { return rUser; } /** * @param user the user to set */ public void setUser(User rUser) { this.rUser = rUser; } @Id @Column(name = "RM_ID", unique = true, nullable = false) public int getRmId() { return rm_id; } public void setRmId(int rm_id) { this.rm_id = rm_id; } @Column(name = "USERNAME_A", unique = true) public String getUsernameA() { return username_a; } public void setUsernameA(String username_a) { this.username_a = username_a; } @Column(name = "USERNAME_L", unique = true) public String getUsernameL() { return username_l; } public void setUsernameL(String username_l) { this.username_l = username_l; } @Column(name = "PASSWORD", unique = true, nullable = false) public String getPassword() { return password; } public void setPassword(String password) { this.password = password; } @Column(name = "ROLE_ID", unique = true, nullable = false) public int getRoleId() { return role_id; } public void setRoleId(int role_id) { this.role_id = role_id; } } when i try run this on server i have exception like this: Error creating bean with name 'SessionFactory' defined in ServletContext resource [/WEB-INF/classes/baseBeans.xml]: Invocation of init method failed; nested exception is org.hibernate.AnnotationException: mappedBy reference an unknown target entity property: com.patpuc.model.RolesMap.users in com.patpuc.model.User.rolesMap But i don't exaclu know what i'm doing wrong. Can somebody help me fix this problem?

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• SQL SERVER – Step by Step Guide to Beginning Data Quality Services in SQL Server 2012 – Introduction to DQS

  - by pinaldave

  Data Quality Services is a very important concept of SQL Server. I have recently started to explore the same and I am really learning some good concepts. Here are two very important blog posts which one should go over before continuing this blog post. Installing Data Quality Services (DQS) on SQL Server 2012 Connecting Error to Data Quality Services (DQS) on SQL Server 2012 This article is introduction to Data Quality Services for beginners. We will be using an Excel file Click on the image to enlarge the it. In the first article we learned to install DQS. In this article we will see how we can learn about building Knowledge Base and using it to help us identify the quality of the data as well help correct the bad quality of the data. Here are the two very important steps we will be learning in this tutorial. Building a New Knowledge Base  Creating a New Data Quality Project Let us start the building the Knowledge Base. Click on New Knowledge Base. In our project we will be using the Excel as a knowledge base. Here is the Excel which we will be using. There are two columns. One is Colors and another is Shade. They are independent columns and not related to each other. The point which I am trying to show is that in Column A there are unique data and in Column B there are duplicate records. Clicking on New Knowledge Base will bring up the following screen. Enter the name of the new knowledge base. Clicking NEXT will bring up following screen where it will allow to select the EXCE file and it will also let users select the source column. I have selected Colors and Shade both as a source column. Creating a domain is very important. Here you can create a unique domain or domain which is compositely build from Colors and Shade. As this is the first example, I will create unique domain – for Colors I will create domain Colors and for Shade I will create domain Shade. Here is the screen which will demonstrate how the screen will look after creating domains. Clicking NEXT it will bring you to following screen where you can do the data discovery. Clicking on the START will start the processing of the source data provided. Pre-processed data will show various information related to the source data. In our case it shows that Colors column have unique data whereas Shade have non-unique data and unique data rows are only two. In the next screen you can actually add more rows as well see the frequency of the data as the values are listed unique. Clicking next will publish the knowledge base which is just created. Now the knowledge base is created. We will try to take any random data and attempt to do DQS implementation over it. I am using another excel sheet here for simplicity purpose. In reality you can easily use SQL Server table for the same. Click on New Data Quality Project to see start DQS Project. In the next screen it will ask which knowledge base to use. We will be using our Colors knowledge base which we have recently created. In the Colors knowledge base we had two columns – 1) Colors and 2) Shade. In our case we will be using both of the mappings here. User can select one or multiple column mapping over here. Now the most important phase of the complete project. Click on Start and it will make the cleaning process and shows various results. In our case there were two columns to be processed and it completed the task with necessary information. It demonstrated that in Colors columns it has not corrected any value by itself but in Shade value there is a suggestion it has. We can train the DQS to correct values but let us keep that subject for future blog posts. Now click next and keep the domain Colors selected left side. It will demonstrate that there are two incorrect columns which it needs to be corrected. Here is the place where once corrected value will be auto-corrected in future. I manually corrected the value here and clicked on Approve radio buttons. As soon as I click on Approve buttons the rows will be disappeared from this tab and will move to Corrected Tab. If I had rejected tab it would have moved the rows to Invalid tab as well. In this screen you can see how the corrected 2 rows are demonstrated. You can click on Correct tab and see previously validated 6 rows which passed the DQS process. Now let us click on the Shade domain on the left side of the screen. This domain shows very interesting details as there DQS system guessed the correct answer as Dark with the confidence level of 77%. It is quite a high confidence level and manual observation also demonstrate that Dark is the correct answer. I clicked on Approve and the row moved to corrected tab. On the next screen DQS shows the summary of all the activities. It also demonstrates how the correction of the quality of the data was performed. The user can explore their data to a SQL Server Table, CSV file or Excel. The user also has an option to either explore data and all the associated cleansing info or data only. I will select Data only for demonstration purpose. Clicking explore will generate the files. Let us open the generated file. It will look as following and it looks pretty complete and corrected. Well, we have successfully completed DQS Process. The process is indeed very easy. I suggest you try this out yourself and you will find it very easy to learn. In future we will go over advanced concepts. Are you using this feature on your production server? If yes, would you please leave a comment with your environment and business need. It will be indeed interesting to see where it is implemented. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Business Intelligence, Data Warehousing, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology Tagged: Data Quality Services, DQS

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• Duck checker in Python: does one exist?

  - by elliot42

  Python uses duck-typing, rather than static type checking. But many of the same concerns ultimately apply: does an object have the desired methods and attributes? Do those attributes have valid, in-range values? Whether you're writing constraints in code, or writing test cases, or validating user input, or just debugging, inevitably somewhere you'll need to verify that an object is still in a proper state--that it still "looks like a duck" and "quacks like a duck." In statically typed languages you can simply declare "int x", and anytime you create or mutate x, it will always be a valid int. It seems feasible to decorate a Python object to ensure that it is valid under certain constraints, and that every time that object is mutated it is still valid under those constraints. Ideally there would be a simple declarative syntax to express "hasattr length and length is non-negative" (not in those words. Not unlike Rails validators, but less human-language and more programming-language). You could think of this as ad-hoc interface/type system, or you could think of it as an ever-present object-level unit test. Does such a library exist to declare and validate constraint/duck-checking on Python-objects? Is this an unreasonable tool to want? :) (Thanks!) Contrived example: rectangle = {'length': 5, 'width': 10} # We live in a fictional universe where multiplication is super expensive. # Therefore any time we multiply, we need to cache the results. def area(rect): if 'area' in rect: return rect['area'] rect['area'] = rect['length'] * rect['width'] return rect['area'] print area(rectangle) rectangle['length'] = 15 print area(rectangle) # compare expected vs. actual output! # imagine the same thing with object attributes rather than dictionary keys.

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• What the Hekaton?

  - by Tony Davis

  Hekaton, the power behind SQL Server 2014′s In-Memory OLTP technology, is intended to make data operations run orders of magnitude faster on SQL Server. This works its magic partly by serving database workloads entirely from main memory, using memory-optimized table structures. It replaces the relational engine’s standard locking model with an optimistic concurrency model based on time-stamped row versions. Deeper down the Hekaton engine uses new, ‘latch free’ data structures. So far, so good, but performance improvements on this scale require a compromise, and the compromise is that these aren’t tables as we understand them. For the database developer, these differences are painful because they involve sacrificing some very important bits of the relational model. Most importantly, Hekaton tables don’t currently support FOREIGN KEY constraints or CHECK constraints, and you can’t put the checks in triggers because there aren’t any DML triggers either. Constraints allow a relational designer to enforce relational integrity and data integrity. Without them, of course, ‘bad data’ can get into our Hekaton tables. There is no easy way of preventing it. For several classes of database and data, this is a show-stopper. One may regard all these restrictions regretfully, seeing limited opportunity to try out Hekaton with current databases, but perhaps there is also a sudden glow of recognition. Isn’t this how we all originally imagined table variables were going to be, back in SQL 2005? And they have much the same restrictions. Maybe, instead of pretending that a currently-designed database can be ‘Hekatonized’ with a few mouse clicks, we should redesign databases for SQL 2014 to replace table variables with Hekaton tables, exploiting this technology for fast intermediate processing, and for the most part forget, for now, the idea of trying to convert our base relational tables into Hekaton tables. Few database developers would be averse to having their working tables running an order of magnitude faster, as long as it didn’t compromise the integrity of the data in the base tables.

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• Can rel="next" and rel="prev" can be ignored in blog listings

  - by Saahil Sinha

  We have a blog - which is current spread to 9 pages, every page has a unique title - page 1, page 2, page 3 and so on. Also, as it's a blog, every page has unique 10 listing entry on one page. Is rel="prev" and rel="next" can be safely ignored as all these are listing and not content pages of article. What I read in all through Google Search is that rel="next" and rel="prev" should be applicable on where the content is spread across multiple pages. But - as it's a blog, it has blog listings and every listing has unique content This is the blog: http://www.mycarhelpline.com/index.php?option=com_easyblog&view=latest&Itemid=91. May recommend, if by ignoring rel="next" and rel="prev" - are we inviting Google to treat the blog listing pages as duplicate.

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• Why are Awstats, Webalizer, and Google Analytics results so different?

  - by Matt

  I realize that comparing Awstats and Webalizer to Google Analytics is like comparing apples to oranges, but each of them track at least basic statistics about visitors and pages. So why are there often very significant differences in their data? For example, comparing Analytics with Awstats using some numbers from a small site over the past week: Awstats 78 unique visitors 205 visits (2.62 visits/visitor) 1,072 pages (5.22 pages/visit) Google Analytics 115 unique visitors 240 visits (2.08 visits/visitor) 1,275 pages (5.31 pages/visit) They're similar on the number of visits, but page views and uniques are quite different. I'm familiar with discrepancies of a much higher magnitude on some larger sites, showing that this trend scales proportionally upward. What is the reason behind the different numbers, even when the data is quite trivial like unique visitors and page loads?

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• Boss solution vs Developer solution

  - by mahen23

  The problem: When we were sending newsletters to customers, there was no way to confirm if the customer already received the mail. So the boss decided to implement this idea: Boss's Idea: Each time mail was being sent, do an INSERT in a db with the title of the newsletter being sent and the email address which is receving the email address. To ensure that any email address does not receive the same email twice, do a SELECT in the table and find the title of the newsletter being sent: if (title of newsletter is found) { check to see of the email we are sending mail to is already present. if it does, do not send mail } else { send mail } MY idea: create a column called unique and mark it as UNIQUE. Each time mail was being sent, concatenate email + newsletter id and record it in the UNIQUE row. The next time we do a "mysql_affected_rows" check to see if our INSERT was successful, we send the mail, else, there is already a duplicate and no need to send it.

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• MySQL Cluster 7.3: On-Demand Webinar and Q&A Available

  - by Mat Keep

  The on-demand webinar for the MySQL Cluster 7.3 Development Release is now available. You can learn more about the design, implementation and getting started with all of the new MySQL Cluster 7.3 features from the comfort and convenience of your own device, including: - Foreign Key constraints in MySQL Cluster - Node.js NoSQL API  - Auto-installation of higher performance distributed, clusters We received some great questions over the course of the webinar, and I wanted to share those for the benefit of a broader audience. Q. What Foreign Key actions are supported: A. The core referential actions defined in the SQL:2003 standard are implemented: CASCADE RESTRICT NO ACTION SET NULL Q. Where are Foreign Keys implemented, ie data nodes or SQL nodes? A. They are implemented in the data nodes, therefore can be enforced for both the SQL and NoSQL APIs Q. Are they compatible with the InnoDB Foreign Key implementation? A. Yes, with the following exceptions: - InnoDB doesn’t support “No Action” constraints, MySQL Cluster does - You can choose to suspend FK constraint enforcement with InnoDB using the FOREIGN_KEY_CHECKS parameter; at the moment, MySQL Cluster ignores that parameter. - You cannot set up FKs between 2 tables where one is stored using MySQL Cluster and the other InnoDB. - You cannot change primary keys through the NDB API which means that the MySQL Server actually has to simulate such operations by deleting and re-adding the row. If the PK in the parent table has a FK constraint on it then this causes non-ideal behaviour. With Restrict or No Action constraints, the change will result in an error. With Cascaded constraints, you’d want the rows in the child table to be updated with the new FK value but, the implicit delete of the row from the parent table would remove the associated rows from the child table and the subsequent implicit insert into the parent wouldn’t reinstate the child rows. For this reason, an attempt to add an ON UPDATE CASCADE where the parent column is a primary key will be rejected. Q. Does adding or dropping Foreign Keys cause downtime due to a schema change? A. Nope, this is an online operation. MySQL Cluster supports a number of on-line schema changes, ie adding and dropping indexes, adding columns, etc. Q. Where can I see an example of node.js with MySQL Cluster? A. Check out the tutorial and download the code from GitHub Q. Can I use the auto-installer to support remote deployments? How about setting up MySQL Cluster 7.2? A. Yes to both! Q. Can I get a demo Check out the tutorial. You can download the code from http://labs.mysql.com/ Go to Select Build drop-down box Q. What is be minimum internet speen required for Geo distributed cluster with synchronous replication? A. if you're splitting you cluster between sites then we recommend a network latency of 20ms or less. Alternatively, use MySQL asynchronous replication where the latency of your WAN doesn't impact the latency of your reads/writes. Q. Where you can one learn more about the PayPal project with MySQL Cluster? A. Take a look at the following - you'll find press coverage, a video and slides from their keynote presentation  So, if you want to learn more, listen to the new MySQL Cluster 7.3 on-demand webinar  MySQL Cluster 7.3 is still in the development phase, so it would be great to get your feedback on these new features, and things you want to see!

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• T-SQL Tuesday #025 &ndash; CHECK Constraint Tricks

  - by Most Valuable Yak (Rob Volk)

  Allen White (blog | twitter), marathoner, SQL Server MVP and presenter, and all-around awesome author is hosting this month's T-SQL Tuesday on sharing SQL Server Tips and Tricks.  And for those of you who have attended my Revenge: The SQL presentation, you know that I have 1 or 2 of them.  You'll also know that I don't recommend using anything I talk about in a production system, and will continue that advice here…although you might be sorely tempted.  Suffice it to say I'm not using these examples myself, but I think they're worth sharing anyway. Some of you have seen or read about SQL Server constraints and have applied them to your table designs…unless you're a vendor ;)…and may even use CHECK constraints to limit numeric values, or length of strings, allowable characters and such.  CHECK constraints can, however, do more than that, and can even provide enhanced security and other restrictions. One tip or trick that I didn't cover very well in the presentation is using constraints to do unusual things; specifically, limiting or preventing inserts into tables.  The idea was to use a CHECK constraint in a way that didn't depend on the actual data: -- create a table that cannot accept data CREATE TABLE dbo.JustTryIt(a BIT NOT NULL PRIMARY KEY, CONSTRAINT chk_no_insert CHECK (GETDATE()=GETDATE()+1)) INSERT dbo.JustTryIt VALUES(1)   I'll let you run that yourself, but I'm sure you'll see that this is a pretty stupid table to have, since the CHECK condition will always be false, and therefore will prevent any data from ever being inserted.  I can't remember why I used this example but it was for some vague and esoteric purpose that applies to about, maybe, zero people.  I come up with a lot of examples like that. However, if you realize that these CHECKs are not limited to column references, and if you explore the SQL Server function list, you could come up with a few that might be useful.  I'll let the names describe what they do instead of explaining them all: CREATE TABLE NoSA(a int not null, CONSTRAINT CHK_No_sa CHECK (SUSER_SNAME()<>'sa')) CREATE TABLE NoSysAdmin(a int not null, CONSTRAINT CHK_No_sysadmin CHECK (IS_SRVROLEMEMBER('sysadmin')=0)) CREATE TABLE NoAdHoc(a int not null, CONSTRAINT CHK_No_AdHoc CHECK (OBJECT_NAME(@@PROCID) IS NOT NULL)) CREATE TABLE NoAdHoc2(a int not null, CONSTRAINT CHK_No_AdHoc2 CHECK (@@NESTLEVEL>0)) CREATE TABLE NoCursors(a int not null, CONSTRAINT CHK_No_Cursors CHECK (@@CURSOR_ROWS=0)) CREATE TABLE ANSI_PADDING_ON(a int not null, CONSTRAINT CHK_ANSI_PADDING_ON CHECK (@@OPTIONS & 16=16)) CREATE TABLE TimeOfDay(a int not null, CONSTRAINT CHK_TimeOfDay CHECK (DATEPART(hour,GETDATE()) BETWEEN 0 AND 1)) GO -- log in as sa or a sysadmin server role member, and try this: INSERT NoSA VALUES(1) INSERT NoSysAdmin VALUES(1) -- note the difference when using sa vs. non-sa -- then try it again with a non-sysadmin login -- see if this works: INSERT NoAdHoc VALUES(1) INSERT NoAdHoc2 VALUES(1) GO -- then try this: CREATE PROCEDURE NotAdHoc @val1 int, @val2 int AS SET NOCOUNT ON; INSERT NoAdHoc VALUES(@val1) INSERT NoAdHoc2 VALUES(@val2) GO EXEC NotAdHoc 2,2 -- which values got inserted? SELECT * FROM NoAdHoc SELECT * FROM NoAdHoc2   -- and this one just makes me happy :) INSERT NoCursors VALUES(1) DECLARE curs CURSOR FOR SELECT 1 OPEN curs INSERT NoCursors VALUES(2) CLOSE curs DEALLOCATE curs INSERT NoCursors VALUES(3) SELECT * FROM NoCursors   I'll leave the ANSI_PADDING_ON and TimeOfDay tables for you to test on your own, I think you get the idea.  (Also take a look at the NoCursors example, notice anything interesting?)  The real eye-opener, for me anyway, is the ability to limit bad coding practices like cursors, ad-hoc SQL, and sa use/abuse by using declarative SQL objects.  I'm sure you can see how and why this would come up when discussing Revenge: The SQL.;) And the best part IMHO is that these work on pretty much any version of SQL Server, without needing Policy Based Management, DDL/login triggers, or similar tools to enforce best practices. All seriousness aside, I highly recommend that you spend some time letting your mind go wild with the possibilities and see how far you can take things.  There are no rules! (Hmmmm, what can I do with rules?) #TSQL2sDay

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• Grails - Language prefix in url mappings

  - by Art79

  Hi there im having problem with language mappings. The way i want it to work is that language is encoded in the url like /appname/de/mycontroller/whatever If you go to /appname/mycontroller/action it should check your session and if there is no session pick language based on browser preference and redirect to the language prefixed site. If you have session then it will display english. English does not have en prefix (to make it harder). So i created mappings like this: class UrlMappings { static mappings = { "/$lang/$controller/$action?/$id?"{ constraints { lang(matches:/pl|en/) } } "/$lang/store/$category" { controller = "storeItem" action = "index" constraints { lang(matches:/pl|en/) } } "/$lang/store" { controller = "storeItem" action = "index" constraints { lang(matches:/pl|en/) } } "/$controller/$action?/$id?"{ lang="en" constraints { } } "/store/$category" { lang="en" controller = "storeItem" action = "index" } "/store" { lang="en" controller = "storeItem" action = "index" } "/"(view:"/index") "500"(view:'/error') } } Its not fully working and langs are hardcoded just for now. I think i did something wrong. Some of the reverse mappings work but some dont add language. If i use link tag and pass params:[lang:'pl'] then it works but if i add params:[lang:'pl', page:2] then it does not. In the second case both lang and page number become parameters in the query string. What is worse they dont affect the locale so page shows in english. Can anyone please point me to the documentation what are the rules of reverse mappings or even better how to implement such language prefix in a good way ? THANKS

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• Moving from a non-clustered PK to a clustered PK in SQL 2005

  - by adaptr

  HI all, I recently asked this question in another thread, and thought I would reproduce it here with my solution: What if I have an auto-increment INT as my non-clustered primary key, and there are about 15 foreign keys defined to it ? (snide comment about original designer being braindead in the original :) ) This is a 15M row table, on a live database, SQL Standard, so dropping indexes is out of the question. Even temporarily dropping the foreign key constraints will be difficult. I'm curious if anybody has a solution that causes minimal downtime. I tested this in our testing environment and finally found that the downtime wasn't as severe as I had originally feared. I ended up writing a script that drops all FK constraints, then drops the non-clustered key, re-creates the PK as a clustered index, and finally re-created all FKs WITH NOCHECK to avoid trawling through all FKs to check constraint compliance. Then I just enable the CHECK constraints to enable constraint checking from that point onwards, and all is dandy :) The most important thing to realize is that during the time the FKs are absent, there MUST NOT be any INSERTs or DELETEs on the parent table, as this may break the constraints and cause issues in the future. The total time taken for clustering a 15M row, 800MB index was ~4 minutes :)

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• Testing Django Inline ModelForms: How to arrange POST data?

  - by unclaimedbaggage

  Hi folks, I have a Django 'add business' view which adds a new business with an inline 'business_contact' form. The form works fine, but I'm wondering how to write up the unit test - specifically, the 'postdata' to send to self.client.post(settings.BUSINESS_ADD_URL, postdata) I've inspected the fields in my browser and tried adding post data with corresponding names, but I still get a 'ManagementForm data is missing or has been tampered with' error when run. Anyone know of any resources for figuring out how to post inline data? Relevant models, views & forms below if it helps. Lotsa thanks. MODEL: class Contact(models.Model): """ Contact details for the representatives of each business """ first_name = models.CharField(max_length=200) surname = models.CharField(max_length=200) business = models.ForeignKey('Business') slug = models.SlugField(max_length=150, unique=True, help_text=settings.SLUG_HELPER_TEXT) created = models.DateTimeField(auto_now_add=True) updated = models.DateTimeField(auto_now=True) phone = models.CharField(max_length=100, null=True, blank=True) mobile_phone = models.CharField(max_length=100, null=True, blank=True) email = models.EmailField(null=True) deleted = models.BooleanField(default=False) class Meta: db_table='business_contact' def __unicode__(self): return '%s %s' % (self.first_name, self.surname) @models.permalink def get_absolute_url(self): return('business_contact', (), {'contact_slug': self.slug }) class Business(models.Model): """ The business clients who you are selling products/services to """ business = models.CharField(max_length=255, unique=True) slug = models.SlugField(max_length=100, unique=True, help_text=settings.SLUG_HELPER_TEXT) description = models.TextField(null=True, blank=True) primary_contact = models.ForeignKey('Contact', null=True, blank=True, related_name='primary_contact') business_type = models.ForeignKey('BusinessType') deleted = models.BooleanField(default=False) created = models.DateTimeField(auto_now_add=True) updated = models.DateTimeField(auto_now=True) address_1 = models.CharField(max_length=255, null=True, blank=True) address_2 = models.CharField(max_length=255, null=True, blank=True) suburb = models.CharField(max_length=255, null=True, blank=True) city = models.CharField(max_length=255, null=True, blank=True) state = models.CharField(max_length=255, null=True, blank=True) country = models.CharField(max_length=255, null=True, blank=True) phone = models.CharField(max_length=40, null=True, blank=True) website = models.URLField(null=True, blank=True) class Meta: db_table = 'business' def __unicode__(self): return self.business def get_absolute_url(self): return '%s%s/' % (settings.BUSINESS_URL, self.slug) VIEWS: class Contact(models.Model): """ Contact details for the representatives of each business """ first_name = models.CharField(max_length=200) surname = models.CharField(max_length=200) business = models.ForeignKey('Business') slug = models.SlugField(max_length=150, unique=True, help_text=settings.SLUG_HELPER_TEXT) created = models.DateTimeField(auto_now_add=True) updated = models.DateTimeField(auto_now=True) phone = models.CharField(max_length=100, null=True, blank=True) mobile_phone = models.CharField(max_length=100, null=True, blank=True) email = models.EmailField(null=True) deleted = models.BooleanField(default=False) class Meta: db_table='business_contact' def __unicode__(self): return '%s %s' % (self.first_name, self.surname) @models.permalink def get_absolute_url(self): return('business_contact', (), {'contact_slug': self.slug }) class Business(models.Model): """ The business clients who you are selling products/services to """ business = models.CharField(max_length=255, unique=True) slug = models.SlugField(max_length=100, unique=True, help_text=settings.SLUG_HELPER_TEXT) description = models.TextField(null=True, blank=True) primary_contact = models.ForeignKey('Contact', null=True, blank=True, related_name='primary_contact') business_type = models.ForeignKey('BusinessType') deleted = models.BooleanField(default=False) created = models.DateTimeField(auto_now_add=True) updated = models.DateTimeField(auto_now=True) address_1 = models.CharField(max_length=255, null=True, blank=True) address_2 = models.CharField(max_length=255, null=True, blank=True) suburb = models.CharField(max_length=255, null=True, blank=True) city = models.CharField(max_length=255, null=True, blank=True) state = models.CharField(max_length=255, null=True, blank=True) country = models.CharField(max_length=255, null=True, blank=True) phone = models.CharField(max_length=40, null=True, blank=True) website = models.URLField(null=True, blank=True) class Meta: db_table = 'business' def __unicode__(self): return self.business def get_absolute_url(self): return '%s%s/' % (settings.BUSINESS_URL, self.slug) FORMS: class AddBusinessForm(ModelForm): class Meta: model = Business exclude = ['deleted','primary_contact',] class ContactForm(ModelForm): class Meta: model = Contact exclude = ['deleted',] AddBusinessFormSet = inlineformset_factory(Business, Contact, can_delete=False, extra=1, form=AddBusinessForm, )

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• Django, want to upload eather image (ImageField) or file (FileField)

  - by Serg

  I have a form in my html page, that prompts user to upload File or Image to the server. I want to be able to upload ether file or image. Let's say if user choose file, image should be null, and vice verso. Right now I can only upload both of them, without error. But If I choose to upload only one of them (let's say I choose image) I will get an error: "Key 'attachment' not found in <MultiValueDict: {u'image': [<InMemoryUploadedFile: police.jpg (image/jpeg)>]}>" models.py: #Description of the file class FileDescription(models.Model): TYPE_CHOICES = ( ('homework', 'Homework'), ('class', 'Class Papers'), ('random', 'Random Papers') ) subject = models.ForeignKey('Subjects', null=True, blank=True) subject_name = models.CharField(max_length=100, unique=False) category = models.CharField(max_length=100, unique=False, blank=True, null=True) file_type = models.CharField(max_length=100, choices=TYPE_CHOICES, unique=False) file_uploaded_by = models.CharField(max_length=100, unique=False) file_name = models.CharField(max_length=100, unique=False) file_description = models.TextField(unique=False, blank=True, null=True) file_creation_time = models.DateTimeField(editable=False) file_modified_time = models.DateTimeField() attachment = models.FileField(upload_to='files', blank=True, null=True, max_length=255) image = models.ImageField(upload_to='files', blank=True, null=True, max_length=255) def __unicode__(self): return u'%s' % (self.file_name) def get_fields(self): return [(field, field.value_to_string(self)) for field in FileDescription._meta.fields] def filename(self): return os.path.basename(self.image.name) def category_update(self): category = self.file_name return category def save(self, *args, **kwargs): if self.category is None: self.category = FileDescription.category_update(self) for field in self._meta.fields: if field.name == 'image' or field.name == 'attachment': field.upload_to = 'files/%s/%s/' % (self.file_uploaded_by, self.file_type) if not self.id: self.file_creation_time = datetime.now() self.file_modified_time = datetime.now() super(FileDescription, self).save(*args, **kwargs) forms.py class ContentForm(forms.ModelForm): file_name =forms.CharField(max_length=255, widget=forms.TextInput(attrs={'size':20})) file_description = forms.CharField(widget=forms.Textarea(attrs={'rows':4, 'cols':25})) class Meta: model = FileDescription exclude = ('subject', 'subject_name', 'file_uploaded_by', 'file_creation_time', 'file_modified_time', 'vote') def clean_file_name(self): name = self.cleaned_data['file_name'] # check the length of the file name if len(name) < 2: raise forms.ValidationError('File name is too short') # check if file with same name is already exists if FileDescription.objects.filter(file_name = name).exists(): raise forms.ValidationError('File with this name already exists') else: return name views.py if request.method == "POST": if "upload-b" in request.POST: form = ContentForm(request.POST, request.FILES, instance=subject_id) if form.is_valid(): # need to add some clean functions # handle_uploaded_file(request.FILES['attachment'], # request.user.username, # request.POST['file_type']) form.save() up_f = FileDescription.objects.get_or_create( subject=subject_id, subject_name=subject_name, category = request.POST['category'], file_type=request.POST['file_type'], file_uploaded_by = username, file_name=form.cleaned_data['file_name'], file_description=request.POST['file_description'], image = request.FILES['image'], attachment = request.FILES['attachment'], ) return HttpResponseRedirect(".")

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• Why is Oracle using a skip scan for this query?

  - by Jason Baker

  Here's the tkprof output for a query that's running extremely slowly (WARNING: it's long :-) ): SELECT mbr_comment_idn, mbr_crt_dt, mbr_data_source, mbr_dol_bl_rmo_ind, mbr_dxcg_ctl_member, mbr_employment_start_dt, mbr_employment_term_dt, mbr_entity_active, mbr_ethnicity_idn, mbr_general_health_status_code, mbr_hand_dominant_code, mbr_hgt_feet, mbr_hgt_inches, mbr_highest_edu_level, mbr_insd_addr_idn, mbr_insd_alt_id, mbr_insd_name, mbr_insd_ssn_tin, mbr_is_smoker, mbr_is_vip, mbr_lmbr_first_name, mbr_lmbr_last_name, mbr_marital_status_cd, mbr_mbr_birth_dt, mbr_mbr_death_dt, mbr_mbr_expired, mbr_mbr_first_name, mbr_mbr_gender_cd, mbr_mbr_idn, mbr_mbr_ins_type, mbr_mbr_isreadonly, mbr_mbr_last_name, mbr_mbr_middle_name, mbr_mbr_name, mbr_mbr_status_idn, mbr_mpi_id, mbr_preferred_am_pm, mbr_preferred_time, mbr_prv_innetwork, mbr_rep_addr_idn, mbr_rep_name, mbr_rp_mbr_id, mbr_same_mbr_ins, mbr_special_needs_cd, mbr_timezone, mbr_upd_dt, mbr_user_idn, mbr_wgt, mbr_work_status_idn FROM (SELECT /*+ FIRST_ROWS(1) */ mbr_comment_idn, mbr_crt_dt, mbr_data_source, mbr_dol_bl_rmo_ind, mbr_dxcg_ctl_member, mbr_employment_start_dt, mbr_employment_term_dt, mbr_entity_active, mbr_ethnicity_idn, mbr_general_health_status_code, mbr_hand_dominant_code, mbr_hgt_feet, mbr_hgt_inches, mbr_highest_edu_level, mbr_insd_addr_idn, mbr_insd_alt_id, mbr_insd_name, mbr_insd_ssn_tin, mbr_is_smoker, mbr_is_vip, mbr_lmbr_first_name, mbr_lmbr_last_name, mbr_marital_status_cd, mbr_mbr_birth_dt, mbr_mbr_death_dt, mbr_mbr_expired, mbr_mbr_first_name, mbr_mbr_gender_cd, mbr_mbr_idn, mbr_mbr_ins_type, mbr_mbr_isreadonly, mbr_mbr_last_name, mbr_mbr_middle_name, mbr_mbr_name, mbr_mbr_status_idn, mbr_mpi_id, mbr_preferred_am_pm, mbr_preferred_time, mbr_prv_innetwork, mbr_rep_addr_idn, mbr_rep_name, mbr_rp_mbr_id, mbr_same_mbr_ins, mbr_special_needs_cd, mbr_timezone, mbr_upd_dt, mbr_user_idn, mbr_wgt, mbr_work_status_idn, ROWNUM AS ora_rn FROM (SELECT mbr.comment_idn AS mbr_comment_idn, mbr.crt_dt AS mbr_crt_dt, mbr.data_source AS mbr_data_source, mbr.dol_bl_rmo_ind AS mbr_dol_bl_rmo_ind, mbr.dxcg_ctl_member AS mbr_dxcg_ctl_member, mbr.employment_start_dt AS mbr_employment_start_dt, mbr.employment_term_dt AS mbr_employment_term_dt, mbr.entity_active AS mbr_entity_active, mbr.ethnicity_idn AS mbr_ethnicity_idn, mbr.general_health_status_code AS mbr_general_health_status_code, mbr.hand_dominant_code AS mbr_hand_dominant_code, mbr.hgt_feet AS mbr_hgt_feet, mbr.hgt_inches AS mbr_hgt_inches, mbr.highest_edu_level AS mbr_highest_edu_level, mbr.insd_addr_idn AS mbr_insd_addr_idn, mbr.insd_alt_id AS mbr_insd_alt_id, mbr.insd_name AS mbr_insd_name, mbr.insd_ssn_tin AS mbr_insd_ssn_tin, mbr.is_smoker AS mbr_is_smoker, mbr.is_vip AS mbr_is_vip, mbr.lmbr_first_name AS mbr_lmbr_first_name, mbr.lmbr_last_name AS mbr_lmbr_last_name, mbr.marital_status_cd AS mbr_marital_status_cd, mbr.mbr_birth_dt AS mbr_mbr_birth_dt, mbr.mbr_death_dt AS mbr_mbr_death_dt, mbr.mbr_expired AS mbr_mbr_expired, mbr.mbr_first_name AS mbr_mbr_first_name, mbr.mbr_gender_cd AS mbr_mbr_gender_cd, mbr.mbr_idn AS mbr_mbr_idn, mbr.mbr_ins_type AS mbr_mbr_ins_type, mbr.mbr_isreadonly AS mbr_mbr_isreadonly, mbr.mbr_last_name AS mbr_mbr_last_name, mbr.mbr_middle_name AS mbr_mbr_middle_name, mbr.mbr_name AS mbr_mbr_name, mbr.mbr_status_idn AS mbr_mbr_status_idn, mbr.mpi_id AS mbr_mpi_id, mbr.preferred_am_pm AS mbr_preferred_am_pm, mbr.preferred_time AS mbr_preferred_time, mbr.prv_innetwork AS mbr_prv_innetwork, mbr.rep_addr_idn AS mbr_rep_addr_idn, mbr.rep_name AS mbr_rep_name, mbr.rp_mbr_id AS mbr_rp_mbr_id, mbr.same_mbr_ins AS mbr_same_mbr_ins, mbr.special_needs_cd AS mbr_special_needs_cd, mbr.timezone AS mbr_timezone, mbr.upd_dt AS mbr_upd_dt, mbr.user_idn AS mbr_user_idn, mbr.wgt AS mbr_wgt, mbr.work_status_idn AS mbr_work_status_idn FROM mbr JOIN mbr_identfn ON mbr.mbr_idn = mbr_identfn.mbr_idn WHERE mbr_identfn.mbr_idn = mbr.mbr_idn AND mbr_identfn.identfd_type = :identfd_type_1 AND mbr_identfn.identfd_number = :identfd_number_1 AND mbr_identfn.entity_active = :entity_active_1) WHERE ROWNUM <= :ROWNUM_1) WHERE ora_rn > :ora_rn_1 call count cpu elapsed disk query current rows ------- ------ -------- ---------- ---------- ---------- ---------- ---------- Parse 9936 0.46 0.49 0 0 0 0 Execute 9936 0.60 0.59 0 0 0 0 Fetch 9936 329.87 404.00 0 136966922 0 0 ------- ------ -------- ---------- ---------- ---------- ---------- ---------- total 29808 330.94 405.09 0 136966922 0 0 Misses in library cache during parse: 0 Optimizer mode: FIRST_ROWS Parsing user id: 36 (JIVA_DEV) Rows Row Source Operation ------- --------------------------------------------------- 0 VIEW (cr=102 pr=0 pw=0 time=2180 us) 0 COUNT STOPKEY (cr=102 pr=0 pw=0 time=2163 us) 0 NESTED LOOPS (cr=102 pr=0 pw=0 time=2152 us) 0 INDEX SKIP SCAN IDX_MBR_IDENTFN (cr=102 pr=0 pw=0 time=2140 us)(object id 341053) 0 TABLE ACCESS BY INDEX ROWID MBR (cr=0 pr=0 pw=0 time=0 us) 0 INDEX UNIQUE SCAN PK_CLAIMANT (cr=0 pr=0 pw=0 time=0 us)(object id 334044) Rows Execution Plan ------- --------------------------------------------------- 0 SELECT STATEMENT MODE: HINT: FIRST_ROWS 0 VIEW 0 COUNT (STOPKEY) 0 NESTED LOOPS 0 INDEX MODE: ANALYZED (SKIP SCAN) OF 'IDX_MBR_IDENTFN' (INDEX (UNIQUE)) 0 TABLE ACCESS MODE: ANALYZED (BY INDEX ROWID) OF 'MBR' (TABLE) 0 INDEX MODE: ANALYZED (UNIQUE SCAN) OF 'PK_CLAIMANT' (INDEX (UNIQUE)) ******************************************************************************** Based on my reading of Oracle's documentation of skip scans, a skip scan is most useful when the first column of an index has a low number of unique values. The thing is that the first index of this column is a unique primary key. So am I correct in assuming that a skip scan is the wrong thing to do here? Also, what kind of scan should it be doing? Should I do some more hinting for this query? EDIT: I should also point out that the query's where clause uses the columns in IDX_MBR_IDENTFN and no columns other than what's in that index. So as far as I can tell, I'm not skipping any columns.

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• Find three numbers appeared only once using bit manipulation

  - by shilk

  In a sequence of length n, where n=2k+3, that is there are k unique numbers appeared twice, how to find the three unique numbers that appeared only once using bit manipulation? for example, in sequence 1 1 2 6 3 6 5 7 7 the three unique numbers are 2 3 5.

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• Query list items based on what permissions they have

  - by Janis Veinbergs

  Don't know how to google for such, but is there a way to query all the items where Permissions are unique to listitem These unique permissions contains assignment for specific group X.

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• how to remove duplicates but keep the same order?

  - by Ben Fossen

  I have a cell array in Matlab y = { 'd' 'f' 'a' 'g' 'g' 'a' 'w' 'h'} I use unique(y) to get rid of the duplicates but it rearranges the strings in alphabetica order >> unique(y) ans = 'a' 'd' 'f' 'g' 'h' 'w' Like this I want to remove the duplicates but keep the same order. I know I could write a function do do this but was wondering if there was a simpler way using unique to remove duplicates while keeping the same order just with the duplicates removed. I want it to return this >> unique(y) ans = 'd' 'f' 'a' 'g' 'w' 'h'

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• Remove duplicates and update IDs linked to nonduplicates

  - by colinr23

  I have two tables, tableA and tableB, linked through a locationID. TableA has descriptive survey info with each record from a different time (ie unique), while TableB has purely locational information. However, there are lots of duplicates in TableB, yet each has a unique locationID, which has an entry in TableA. I've found plenty posts about removing duplicates from TableB, but how can I update the locationIDs in TableA so they are linked to the unique locations in TableB once duplicates are removed... Help much appreciated!

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• Does the order of columns matter in a group by clause?

  - by Jeff Meatball Yang

  If I have two columns, one with very high cardinality and one with very low cardinality (unique # of values), does it matter in which order I group by? Here's an example: select dimensionName, dimensionCategory, sum(someFact) from SomeFact f join SomeDim d on f.dimensionKey = d.dimensionKey group by d.dimensionName, -- large number of unique values d.dimensionCategory -- small number of unique values Are there situations where it matters?

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• Best way to model map values in Grails?

  - by Mulone

  Hi guys, I have to implement map values in my Grails app. I have a class that can contain 0..N OsmTags, and the key is unique. In Java I would model this with a Map in each object, but I don't know how to map classes in Grails. So I defined this class: class OsmTag { /** OSM tag name, e.g. natural */ String key /** OSM tag value, e.g. park */ String value static constraints = { key blank:false, size:2..80,matches:/[\S]+/, unique:false value blank:false, size:1..250,matches:/[\S]+/, unique:false } } That works ok, but it's actually quite ugly because the tag key is not unique. Is there a better way to model this issue? Cheers

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• Oracle : Identifying duplicates in a table without index

  - by user288031

  When I try to create a unique index on a large table, I get a unique contraint error. The unique index in this case is a composite key of 4 columns. Is there an efficient way to identify the duplicates other than : select col1, col2, col3, col4, count() from Table1 group by col1, col2, col3, col4 having count() 1 The explain plan above shows full table scan with extremely high cost, and just want to find if there is another way. Thanks !

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• Why MySQL multiple-column index is overpopulated?

  - by actual

  Consider following MySQL table: CREATE TABLE `log` ( `what` enum('add', 'edit', 'remove') CHARACTER SET ascii COLLATE ascii_bin NOT NULL, `with` int(10) unsigned NOT NULL, KEY `with_what` (`with`,`what`) ) ENGINE=InnoDB; INSERT INTO `log` (`what`, `with`) VALUES ('add', 1), ('edit', 1), ('add', 2), ('remove', 2); As I understand, with_what index must have 2 unique entries on its first with level and 3 unique entries in what "subindex". But MySQL reports 4 unique entries for each level. In other words, number of unique elements for each level is always equal to number of rows in log table. Is that a bug, a feature or my misunderstanding?

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• oracle index for string column - does format of data affects quality of index?

  - by Jayan

  We have following type of "Unique ID" column for many tables in the database (Oracle). It is a string with following format <randomnumber>-<ascendingnumber>-<machinename> So we have some thing like this U1234-12345-NBBJD U1234-12346-NBBJD U1234-12347-NBBJD U1234-12348-NBBJD U1234-12349-NBBJD The UID value is unique, we have unique index on them. Does the following format is more efficient than above for index scans? NBBJD-U1234-12345 NBBJD-U1234-12346 NBBJD-U1234-12347 NBBJD-U1234-12348 NBBJD-U1234-12349

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• cakephp isUnique for 2 fields?

  - by jodeci

  I have a registration form in which users can fill in two email address (email1 & email2). Marketing's requirement is that they need to be unique (unique as in if we had 10 users, then there would be 10*2=20 unique email address). The system is already built on cakephp, so what I'd like to know is, is there something similar to the isUnique feature (unique in one field) that can do this right out of the box? Or am I doomed to code this myself? Thanks in advance.

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