Answer simple quiz at the end of the blog post and –
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Query Writing Strategy
Some people may push back on this next technique or misunderstand until getting to the very end. The goal is to have fewer errors as you write complex queries more quickly by making sure the easy stuff works first.
If you are a SQL expert who only works on the same database for the rest of your life who will never type the wrong field name in a query then yes you are the fastest query writer your company could ever have. Let’s face it, sometime we as SQL experts need to get familiar with our underlying data before we get great coding velocity. Brute force or memorized keystroke solutions can be fun when learning but not good when you have a deadline and want to write queries quickly, with fewer errors, and test things as you continue to write more code. With that in mind here is something I have yet to find in any book. When enthusiastic SQL students do this, they experience a revelation. The number of errors drops significantly and the speed at writing complex queries increases immediately.
Knowing how to narrow down what you are looking for amongst a vast list of choices helps immensely. Grabbing the right tables first and then the fields second is much like grabbing the right menu before ordering an item from it. In fact, one student named Tim took this back to his team of SQL developers and they immediately implemented this process.
We are all used to following steps we know have proven to work. Most of the time, actions are sequential from top to bottom or left to right. Other times we complete things in phases. The two phases you are going to see here apply to joining tables or any other query that has plenty of logic. Just remember to organize first and clean up (or itemize) second.
When you go to a new restaurant, you ask to see the menu. You want to see all they have to offer. The odds are you may like half the items, but only need a few for to feed your family. Looking at the menu is like starting off with a SELECT *. After looking at all the fields, you pick the one(s) you want.
Sometimes restaurants have multiple menus. My favorite restaurant has a kids’ menu, an adult menu, a “gluten-free” menu and a drink menu. These menus were gathered at our station. Ultimately, in my head, a selection was narrowed to what our group needed.
Phase I: Organize. When you’re building a new query from many tables, you’ll find yourself wondering, “Where do I start?” Really there are three steps to this phase. First, lay the steps out by identifying which tables contain the essential data. Second, get all your joins working with a SELECT * statement. Third, add any basic filtering criteria.
Phase II. Itemize. Once all joins and criteria, such as SELECT *, FROM and WHERE are working, you are ready for Phase II. This entails going back and changing your SELECT * to an itemized select field list as your final step.
Let’s explore how this two-phase process of “Organize then Itemize” is a time-saver. We are going to use one of the challenges from the last lab. In Lab 3.2 (Outer Joins) in Skill Check 2, you needed to get four fields from two different tables. If you list all four desired fields and test one table at time, you get an error as seen on the right side of Figure 4.1.
In Figure 4.1 we write the SELECT statement and part of the FROM clause. The FROM clause will have two tables when we are done, but for now we just want to get the Location table working. When we use the SELECT * it removes any possible errors from line 1. From there, we can focus on our more complicated join logic. We can add tables one at a time until all is working. This is the Organize phase.
SELECT * never results in an “invalid column name” error, but a SELECT list can. After your query is organized and working, you can go back and itemize the SELECT field list to display just what you want. This is the Itemize phase. These steps are broken down as follows:
--ORGANIZE PHASE: Get SELECT * query written.
-- Test first table logic
SELECT *
FROM Location
--Test second table with join
SELECT *
FROM Location INNER JOIN Employee
ON Location.LocationID = Employee.LocationID
--Test all tables with criteria
SELECT *
FROM Location INNER JOIN Employee
ON Location.LocationID = Employee.LocationID
WHERE [State] = 'WA'
--ITEMIZE PHASE: Change to SELECT field list
--Choose your fields
SELECT FirstName, LastName, City, [State]
FROM Location INNER JOIN Employee
ON Location.LocationID = Employee.LocationID
WHERE [State] = 'WA'
SELECT is always the first statement in a query. It’s natural to want to finish your SELECT statement before writing the FROM clause. Start with SELECT * and finish the query. Do your field list when all else is done. Use this method and you will never again get a field selection error while building queries.
Note: If you want to setup the sample JProCo database on your system you can watch this video.
Question 4
Q. 4) Square brackets are required when…
- The table name conflicts with a keyword
- The table name is the same as another table.
- The table uses the same name as the database.
- To alias the table.
Please post your answer in comment section to win Joes 2 Pros books.
Rules:
Please leave your answer in comment section below with correct option, explanation and your country of resident.
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A valid answer must contain country of residence of answerer.
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The contest is open till next blog post shows up at which is next day GTM+2.5.
Reference: Pinal Dave (https://blog.sqlauthority.com)
204 Comments. Leave new
I believe the answer is 1) When the table name conflicts with a keyword.
I am from the United States.
Option 1 is correct:
The table name conflicts with a keyword
USA
there may be some more scenarios as.. f you have spacings between table names and column names or if you have some special character in your table name or column name than you also need to have put them in to [] .
For this question answer is
Option-1 —The table name conflicts with a keyword
Answer :
The table name conflicts with a keyword
kulwant kumar
Delhi
India
1)The table name conflicts with a keyword
USA
Answer: 1)
Q. 4) Square brackets are required when…
The table name conflicts with a keyword.
Great column today!
Thanks,
Dunc
Hi
the answer is 1)The table name conflicts with a keyword
Reason: Column names can contain special characters and reserved words that might confuse the query execution engine, so placing brackets around them at all times prevents this from happening
Thanks
Dhanu Dhanapalan
The Answere is
1) The table name conflicts with a keyword.
we can also use [ ] in field name when there is a space in column name.
Ghanshyam Patel
Ahmedabad
India
Answer:
1.The table name conflicts with a keyword
-Lalit kumar
Answer is option 1.The table name conflicts with a keyword
Country:- India,Ahmedabad
1. The table name conflicts with a keyword
USA
Answer # 1 is the correct one.
Eric (USA)
Hay Pinal Dave,
Q. 4) Square brackets are required when…
The table name conflicts with a keyword
I am from Ahmedabad,Gujarat,India…
Table name conflict w/ keyword.
Spaces in field/table names will sometimes require the brackets as well.
USA
The correct answer 1: The table name conflicts with a keyword.
Square brackets are needed when a column or table name is the same name as a built in sql server function or keyword.
Country of Residence: USA
None of the above options.
Square Brackets are required if the table name is a 2 letter word.
e.g: Table Name is [Test 1]
Country: USA
It is one of the reasons but another reason is that if it is a keyword you have to use square braces. Create a table named SELECT and try it
Q. 4) Square brackets are required when…
1.The table name conflicts with a keyword
Gordon Kane
Allen TX
United States
Q. 4) Square brackets are required when…
1) The table name conflicts with a keyword
Mohan Chug
Pune, India
4) Square brackets are required when…
“The table name conflicts with a keyword”
Using keyword to differentiate column names similar to the keywords in tables.
Chennai, TamilNadu, India.