There's a stored procedure called "cnt_insertContestEntry" in my company's database. I'm new to database naming conventions. What could CNT possibly mean? Contest? i could ask my co-workers but i don't want to look dumb :p.
I had a hard time making this sound nice, and I'm not sure if I succeeded. It is rather strange to ask people who are unlikely to know the answer when you have people much nearer who are quite likely to know the answer.
In general, if you want to know the answer, ask the person most likely to have it. In my opinion, that is never going to make you look dumb!
"cnt" is commonly used as an abbreviation for "count", often in variable names as a part of Hungarian notation. I don't think that's how it's being used here, though. Your guess sounds reasonable. I'd ask.
What's the name of the project/application? We usually prefix our tables, stored procedures etc, with an abbreviated version of the project name.
e.g. on "The TTP Project",
ttp_users
ttp_doSomething
I agree, go ahead and ask your co-workers. But here are some less efficient ideas:
If it's a Stored Procedure, then examine the procedure and see if it gives you clues.
Look for other procedures that start with cnt_. See if they give you any ideas.
My guess is that cnt stands for contest, and that the original author chose the prefix so that all contest-related stored procedures were grouped together alphabetically. Maybe though, there's only one so far.
CNT as a technical term is usually some variant of "Computer Network Technology" [Reference].
Given the sproc has to do with contest entries, I'd guess that cnt is an abbreviation for CoNTest.
It's not the most obvious naming mechanism, but it would serve to suitably keep similar procedures grouped together within SQL Management Studio.
Just ask, I'd only be annoyed with a coworker if they repeatedly asked the same question. First answer is always free.
Don't lose time searching on the internet/analyzing the function. Any company wants efficient employees & in this case asking your colleagues is way more efficient then guessing. The longer you wait to ask, the more awkward it will be when you do ask after thinking about it for ages.. ;)
Looks like it's being used as a schema identifier, means Contest maybe? Horrific naming standard if so!
What's the data type? If it's numeric, maybe it's count - e.g., the database is de-normalized
It's spelled in lowercase, so probably just short for something unimportant. Count, or Content, or Contest, or Cent. It seems to be a namespace of some kind so it's likely that you have other stored procedures with the same prefix. Maybe it's the initials of the person who wrote it. Did you have a Carl-Nicolay Tenenbaum working for you? (Oh, just made that name up, btw.)
Btw, the only dumb questions are the ones you don't dare to ask. So in case of doubt, ask your colleagues. :-)
In one of my projects we have used prefixes to determine the subsystem of project. Because different subsystems were developed by different developers, these prefixes were like shema identifiers.
Related
This is something that has always bothered me. Wouldnt it make more sense to have the FROM clause come before the SELECT? Whenever Im writing sql, especially with joins, I always figure out the FROM clause first and then write the SELECT.
Plus, putting the FROM first would allow for better intellisense inside the editor.
Does anyone know what the reasoning was to have SELECT come first? Am I only one who is bothered by this?
Yes it is strange and counterintuitive. Hugh Darwen theorises about how this state of affairs came about:
Do you take SELECT-FROM-WHERE for
granted, or do you, like me, find it
rather curious that the System R team
should have spurned the normal way of
writing expressions of arbitrary
complexity in favour of something
utterly idiosyncratic and, one might
say, rather dictatorial...?
The fact is that in the 1960s various
scripting languages (as we tend to
call such things these days) had come
about for the purposes of report
generation, especially ad hoc report
generation. We had one such language
in the prerelational DBMS called
Terminal Business System (TBS) that I
worked on for IBM from 1969-77. Our
language required the user to specify
the required report in a series of
steps that had to be given in the
prescribed order...
A somewhat similar but much more
sophisticated report generator was
later developed by IBM in the US, as
part of a product called (prosaically,
as was IBM's style in those days)
Generalized Information System
(GIS)... when I first looked at SQL,
my immediate reaction was "Oh no!
Son of GIS? Please not that!" I
might have been quite wrong about
this. The similarity I perceived
might have been illusory and even if
it was not, I have no firm evidence
that anybody in the System R team was
familiar with GIS. The fact remains
that the general style of a fixed
order of actions was the order of the
day at the time. I postulate that
SQL's SELECT-FROM-WHERE arose out of
this fashion.
From HAVING a Blunderful Time
The syntax was to resemble English.
What is a scenario that exemplifies a good reason to use prefixes, such as fn_GetName, on function names in SQL Server? It would seem that it would be unnecessary since usually the context of its usage would make it clear that it's a function. I have not used any other language that has ever needed prefixes on functions, and I can't think of a good scenario that would show why SQL is any different.
My only thinking is that perhaps in older IDE's it was useful for grouping functions together when the database objects were all listed together, but modern IDE's already make it clear what is a function.
You are correct about older IDEs
As a DBA, trying to fix permissions using SQL Server Enterprise Manager (SQL Server 2000 and 7.0), it was complete bugger trying to view permissions. If you had ufn or usp or vw it became easier to group things together because of how the GUI presented the data.
Saying that, if you have SELECT * FROM Thing, what is Thing? A view or a table? It may work for you as a developer but it will crash when deployed because you don't grant permissions on the table itself: only views or procs. Surely a vwThing will keep your blood pressure down...?
If you use schemas, it becomes irrelevant. You can "namespace" your objects. For example, tables in "Data" and other objects per client in other schemas eg WebGUI
Edit:
Function. You have table valued and scalar functions. If you stick with the code "VerbNoun" concept, how do you know which is which without some other clue. (of course, this can't happen because object names are unique)
SELECT dbo.GetName() FROM MyTable
SELECT * FROM dbo.GetName()
If you use a plural to signify a table valued function, this is arguably worse
SELECT dbo.GetName() FROM MyTable
SELECT * FROM dbo.GetNames()
Whereas this is less ambiguous, albeit offensive to some folk ;-)
SELECT dbo.sfnGetName() FROM MyTable
SELECT * FROM dbo.tfnGetName()
With schemas. And no name ambiguity.
SELECT ScalarFN.GetName() FROM MyTable
SELECT * FROM TableFN.GetName()
Your "any other language" comment doesn't apply. SQL isn't structured like c#, Java, f#, Ada (OK, PL/SQL might be), VBA, whatever: there is no object or namespace hierarchy. No Object.DoStuff method stuff.
A prefix may be just the thing to keep you sane...
There's no need to prefix function names with fn_ any more than there's a need to prefix table names with t_ (a convention I have seen). This sort of systematic prefix tends to be used by people who are not yet comfortable with the language and who need the convention as an extra help to understanding the code.
Like all naming conventions, it hardly matters what the convention actually is. What really matter is to be consistent. So even if the convention is wrong, it is still important to stick to it for consistency. Yes, it may be argued that if the naming convention is wrong then it should be changed, but the effort implies a lot: rename all objects, change source code, all maintenance procedures, get the dev team committed to follow the new convention, have all the support and ops personnel follow the new rules etc etc. On a large org, the effort to change a well established naming convention is just simply overwhelming.
I don't know what your situation is, but you should consider carefully before proposing a naming convention change just for sake of 'pretty'. No matter how bad the existing naming convention in your org is, is far better to stick to it and keep the naming consistency than to ignore it and start your own.
Of course, more often than not, the naming convention is not only bad, is also not followed and names are inconsistent. In that case, sucks to be you...
What is a scenario that exemplifies a
good reason to use prefixes
THere is none. People do all kind of stuff because they always did so, and quite a number of bad habits are explained with ancient knowledge that is wrong for many years.
I'm not a fan of prefixes, but perhaps one advantage could be that these fn_ prefixes might make it easier to identify that a particular function is user-defined, rather than in-built.
We had many painful meetings at our company about this. IMO, we don't need prefixes on any object names. However, you could make an argument for putting them on views, if the name of the view might conflict with the underlying table name.
In any case, there is no SQL requirement that prefixes be used, and frankly, IMO, they have no real value.
As others have noticed, any scenario you define can easily be challenged, so there's no rule defining it as necessary; however, there's equally no rule saying it's unnecessary, either. Like all naming conventions, it's more important to have consistent usage rather than justification.
One (and the only) advantage I can think of is that it a consequently applied prefixing scheme could make using intellisense / autocomplete easier since related functionality is automagically grouped together.
Since I recently stumbled over this question, I'd like to add the following point in favour of prefixes: Imagine, you have some object id from some system table and you want to determine whether it's a function, proc, view etc. You could of course run a test for each type, it's much easier though to extract the prefix from the object name and then act upon that. This gets even easier when you use an underscore to separate the prefix from the name, e.g. usp_Foo instead of uspFoo. IMHO it's not just about stupid IDEs.
PostgreSQL has allowed me to name a column "campaign_$". I like the name because it's short and to the point, and other potential names like "campaign_receipts" seem longer and less clear.
BUT, I wonder if I'll eventually regret putting a $ symbol in a column name, either in PHP or in some other distant part of the architecture. Should I just stick to letters and underscores?
Thanks!
Yes, you should. "campaign_receipts" is a better name.
You probably won't regret, but I still wouldn't recommend it.
What happens when you expand into Europe?
Also, it will look strange and confusing to new developers.
In addition to the other excellent reasons I'll also mention that "$" in my mind is not clear at all. Does that mean campaign expenses? Campaign savings? Campaign values?
There's a VERY strong convention that tables and columns are named using only letters, numbers, and (possibly) underscores, so I would consider this poor style. Beyond the i18n concerns that other posters mention, there are probably a very large number of tools that expect table and column names following this convention.
I think it is bad practice to put special characters into a column name. Just spell out the word like campaign_money or campaign_funds and then the issue of internationalization or other possible issues become a thing of the past.
It should be fine, however it may cause you more problems down the line when you want to export the data to another system, things like that.
It's good to get into the habbit of naming columns/variables etc with no special characters, as usually they are more trouble than they are worth.
I wouldn't use it.
The "$" might not be valid in future databases you use (at some point you might migrate away from PostgreSQL to something else) and it also might pose problems at the application level if you do anything that maps column names to object properties if your programming language doesn't allow method names to have "$" in them.
Just my suggestion.
I have been working on sql server and front end coding and have usually faced problem formulating queries.
I do understand most of the concepts of sql that are needed in formulating queries but whenever some new functionality comes into the picture that can be dont using sql query, i do usually fails resolving them.
I am very comfortable with select queries using joins and all such things but when it comes to DML operation i usually fails
For every query that i never done before I usually finds uncomfortable with that while creating them. Whenever I goes for an interview I usually faces this problem.
Is it their some concept behind approaching on formulating sql queries.
Eg.
I need to create an sql query such that
A table contain single column having duplicate record. I need to remove duplicate records.
I know i can find the solution to this query very easily on Googling, but I want to know how everyone comes to the desired result.
Is it something like Practice Makes Man Perfect i.e. once you did it, next time you will be able to formulate or their is some logic or concept behind.
I could have get my answer of solving above problem simply by posting it on stackoverflow and i would have been with an answer within 5 to 10 minutes but I want to know the reason. How do you work on any new kind of query. Is it a major contribution of experience or some an implementation of concepts.
Whenever I learns some new thing in coding section I tries to utilize it wherever I can use it. But here scenario seems to be changed because might be i am lagging in some concepts.
EDIT
How could I test my knowledge and
concepts in Sql and related sql
queries ?
Typically, the first time you need to open a child proof bottle of pills, you have a hard time, but after that you are prepared for what it might/will entail.
So it is with programming (me thinks).
You find problems, research best practices, and beat your head against a couple of rocks, but in the process you will come to have a handy set of tools.
Also, reading what others tried/did, is a good way to avoid major obsticles.
All in all, with a lot of practice/coding, you will see patterns quicker, and learn to notice where to make use of what tool.
I have a somewhat methodical method of constructing queries in general, and it is something I use elsewhere with any problem solving I need to do.
The first step is ALWAYS listing out any bits of information I have in a request. Information is essentially anything that tells me something about something.
A table contain single column having
duplicate record. I need to remove
duplicate
I have a table (I'll call it table1)
I have a
column on table table1 (I'll call it col1)
I have
duplicates in col1 on table table1
I need to remove
duplicates.
The next step of my query construction is identifying the action I'll take from the information I have.
I'll look for certain keywords (e.g. remove, create, edit, show, etc...) along with the standard insert, update, delete to determine the action.
In the example this would be DELETE because of remove.
The next step is isolation.
Asnwer the question "the action determined above should only be valid for ______..?" This part is almost always the most difficult part of constructing any query because it's usually abstract.
In the above example you're listing "duplicate records" as a piece of information, but that's really an abstract concept of something (anything where a specific value is not unique in usage).
Isolation is also where I test my action using a SELECT statement.
Every new query I run gets thrown through a select first!
The next step is execution, or essentially the "how do I get this done" part of a request.
A lot of times you'll figure the how out during the isolation step, but in some instances (yours included) how you isolate something, and how you fix it is not the same thing.
Showing duplicated values is different than removing a specific duplicate.
The last step is implementation. This is just where I take everything and make the query...
Summing it all up... for me to construct a query I'll pick out all information that I have in the request. Using the information I'll figure out what I need to do (the action), and what I need to do it on (isolation). Once I know what I need to do with what I figure out the execution.
Every single time I'm starting a new "query" I'll run it through these general steps to get an idea for what I'm going to do at an abstract level.
For specific implementations of an actual request you'll have to have some knowledge (or access to google) to go further than this.
Kris
I think in the same way I cook dinner. I have some ingredients (tables, columns etc.), some cooking methods (SELECT, UPDATE, INSERT, GROUP BY etc.) then I put them together in the way I know how.
Sometimes I will do something weird and find it tastes horrible, or that it is amazing.
Occasionally I will pick up new recipes from the internet or friends, then use parts of these in my own.
I also save my recipes in handy repositories, broken down into reusable chunks.
On the "Delete a duplicate" example, I'd come to the result by googling it. This scenario is so rare if the DB is designed properly that I wouldn't bother keeping this information in my head. Why bother, when there is a good resource is available for me to look it up when I need it?
For other queries, it really is practice makes perfect.
Over time, you get to remember frequently used patterns just because they ARE frequently used. Rare cases should be kept in a reference material. I've simply got too much other stuff to remember.
Find a good documentation to your software. I am using Mysql a lot and Mysql has excellent documentation site with decent search function so you get many answers just by reading docs. If you do NOT get your answer at least you are learning something.
Than I set up an example database (or use the one I am working on) and gradually build my SQL. I tend to separate the problem into small pieces and solve it step by step - this is very successful if you are building queries including many JOINS - it is best to start with some particular case and "polute" your SQL with many conditions like WHEN id = "123" which you are taking out as you are working towards your solution.
The best and fastest way to learn good SQL is to work with someone else, preferably someone who knows more than you, but it is not necessarry condition. It can be replaced by studying mature code written by others.
Your example is a test of how well you understand the DISTINCT keyword and the GROUP BY clause, which are SQL's ways of dealing with duplicate data.
Examples and experience. You look at other peoples examples and you create your own code and once it groks, you don't need to think about it again.
I would have a look at the Mere Mortals book - I think it's the one by Hernandez. I remember that when I first started seriously with SQL Server 6.5, moving from manual ISAM databases and Access database systems using VB4, that it was difficult to understand the syntax, the joins and the declarative style. And the SQL queries, while powerful, were very intimidating to understand - because typically, I was looking at generated code in Microsoft Access.
However, once I had developed a relatively systematic approach to building queries in a consistent and straightforward fashion, my skills and confidence quickly moved forward.
From seeing your responses you have two options.
Have a copy of the specification for whatever your working on (SQL spec and the documentation for the SQL implementation (SQLite, SQL Server etc..)
Use Google, SO, Books, etc.. as a resource to find answers.
You can't formulate an answer to a problem without doing one of the above. The first option is to become well versed into the capabilities of whatever you are working on.
The second option allows you to find answers that you may not even fully know how to ask. You example is fairly simplistic, so if you read the spec/implementation documentaion you would know the answer right away. But there are times, where even if you read the spec/documentation you don't know the answer. You only know that it IS possible, just not how to do it.
Remember that as far as jobs and supervisors go, being able to resolve a problem is important, but the faster you can do it the better which can often be done with option 2.
I have been using MySQL for years, mainly on smaller projects until the last year or so. I'm not sure if it's the nature of the language or my lack of real tutorials that gives me the feeling of being unsure if what I'm writing is the proper way for optimization purposes and scaling purposes.
While self-taught in PHP I'm very sure of myself and the code I write, easily can compare it to others and so on.
With MySQL, I'm not sure whether (and in what cases) an INNER JOIN or LEFT JOIN should be used, nor am I aware of the large amount of functionality that it has. While I've written code for databases that handled tens of millions of records, I don't know if it's optimum. I often find that a small tweak will make a query take less than 1/10 of the original time... but how do I know that my current query isn't also slow?
I would like to become completely confident in this field in the ability to optimize databases and be scalable. Use is not a problem -- I use it on a daily basis in a number of different ways.
So, the question is, what's the path? Reading a book? Website/tutorials? Recommendations?
EXPLAIN is your friend for one. If you learn to use this tool, you should be able to optimize your queries very effectively.
Scan the the MySQL manual and read Paul DuBois' MySQL book.
Use EXPLAIN SELECT, SHOW VARIABLES, SHOW STATUS and SHOW PROCESSLIST.
Learn how the query optimizer works.
Optimize your table formats.
Maintain your tables (myisamchk, CHECK TABLE, OPTIMIZE TABLE).
Use MySQL extensions to get things done faster.
Write a MySQL UDF function if you notice that you would need some
function in many places.
Don't use GRANT on table level or column level if you don't really need
it.
http://dev.mysql.com/tech-resources/presentations/presentation-oscon2000-20000719/index.html
The only way to become an expert in something is experience and that usually takes time. And a good mentor(s) that are better than you to teach you what you are missing. The problem is you don't know what you don't know.
Research and experience - if you don't have the projects to warrant the research, make them. Make three tables with related data and make up scenarios.
E.g.
Make a table of movies their data
make a table of user
make a table of ratings for users
spend time learning how joins work, how to get movies of a particular rating range in one query, how to search the movies table ( like, regex) - as mentioned, use explain to see how different things affect speed. Make a day of it; I guarantee your
handle on it will be greatly increased.
If you're still struggling for case-scenarios, start looking here on SO for questions and try out those scenarios yourself.
I don't know if MIT open courseware has anything about databases... Well whaddya know? They do: http://ocw.mit.edu/OcwWeb/Electrical-Engineering-and-Computer-Science/6-830Fall-2005/CourseHome/
I would recommend that as one source based only on MITs reputation. If you can take a formal course from a university you may find that helpful. Also a good understanding of the fundamental discrete mathematics/logic certainly would do no harm.
As others have said, time and practice is the only real approach.
More practically, I found that EXPLAIN worked wonders for me personally. Learning to read the output of that was probably the biggest single leap I made in being able to write efficient queries.
The second thing I found really helpful was SQL Tuning by Dan Tow, which describes a fairly formal methodology for extracting performance. It's a bit involved, but works well in lots of situations. And if nothing else, it will give you a much better understanding of the way joins are processed.
Start with a class like this one: https://www.udemy.com/sql-mysql-databases/
Then use what you've learned to create and manage a number of SQL databases and run queries. Getting to the expert level is really about practice. But of course you need to learn the pieces before you can practice.