I'm struggling to find a value that might be in different tables but using UNION is a pain as there are a lot of tables.
[Different table that contains the suffixes from the TestTable_]
| ID | Name|
| -------- | -----------|
| 1 | TestTable1 |
| 2 | TestTable2 |
| 3 | TestTable3 |
| 4 | TestTable4 |
TestTable1 content:
| id | Name | q1 | a1 |
| -------- | ---------------------------------------- |
| 1 | goose | withFeather? |featherID |
| 2 | rooster| withoutFeather?|shinyfeatherID |
| 3 | rooster| age | 20 |
TestTable2 content:
| id | Name | q1 | a1 |
| -------- | ---------------------------------------------------|
| 1 | brazilian_goose | withFeather? |featherID |
| 2 | annoying_rooster | withoutFeather?|shinyfeatherID |
| 3 | annoying_rooster | no_legs? |dead |
TestTable3 content:
| id | Name | q1 | a1 |
| -------- | ---------------------------------------- |
| 1 | goose | withFeather? |featherID |
| 2 | rooster| withoutFeather?|shinyfeatherID |
| 3 | rooster| age | 15 |
Common columns: q1 and a1
Is there a way to parse through all of them to lookup for a specific value without using UNION because some of them might have different columns?
Something like: check if "q1='age'" exists in all those tables (from 1 to 50)
Select q1,*
from (something)
where q1 exists in (TestTable_*)... or something like that.
If not possible, not a problem.
You could use dynamic SQL but something I do in situations like this where I have a list of tables that I want to quickly perform the same actions on is to either use a spreadsheet to paste the list of tables into and type a query into the cell with something like #table then use the substitute function to replace it.
Alternative I just paste the list into SSMS and use SHIFT+ALT+ArrowKey to select the column and start typing stuff out.
So here is my list of tables
Then I use that key combo. As you can see my cursor has now selected all those rows.
Now I can start typing and all rows selected will get the input.
Then I just go to the other side of the table names and repeat the action
It's not a perfect solution but it's quick a quick and dirty way of doing something repetitive quickly.
If you want to find all the tables with that column name you can use information schema.
Select table_name from INFORMATION_SCHEMA.COLUMNS where COLUMN_NAME = 'q1'
Given the type of solution you are after I can offer a method that I've had to use on legacy systems.
You can query sys.columns for the name of the column(s) you need to find in N tables and join using object_id to sys.tables where type='U'. This will give you a list of table names.
From this list you can then build a working query for each table, and depending on your requirements (is this ad-hoc?) either just manually execute it yourself of build a procedure that will do it for you using sp_executesql
Eg
select t.name, c.name
into #workingtable
from sys.columns c
join sys.tables t on t.object_id=c.object_id
where c.name in .....
psudocode:
begin loop while rows exist in #working table
select top 1 row from #workingtable
set #sql=your query specific to that table and column(s)
exec(#sql) / sp_executesql / try/catch as necessary
delete row from working table
end loop
Hopefully that give ideas at least for how you might implement your requirements.
I am new to Access and am trying to develop a query that will allow me to count the number of occurrences of one word in each field from a table with 15 fields.
The table simply stores test results for employees. There is one table that stores the employee identification - id, name, etc.
The second table has 15 fields - A1 through A15 with the words correct or incorrect in each field. I need the total number of incorrect occurrences for each field, not for the entire table.
Is there an answer through Query Design, or is code required?
The solution, whether Query Design, or code, would be greatly appreciated!
Firstly, one of the reasons that you are struggling to obtain the desired result for what should be a relatively straightforward request is because your data does not follow database normalisation rules, and consequently, you are working against the natural operation of a RDBMS when querying your data.
From your description, I assume that the fields A1 through A15 are answers to questions on a test.
By representing these as separate fields within your database, aside from the inherent difficulty in querying the resulting data (as you have discovered), if ever you wanted to add or remove a question to/from the test, you would be forced to restructure your entire database!
Instead, I would suggest structuring your table in the following way:
Results
+------------+------------+-----------+
| EmployeeID | QuestionID | Result |
+------------+------------+-----------+
| 1 | 1 | correct |
| 1 | 2 | incorrect |
| ... | ... | ... |
| 1 | 15 | correct |
| 2 | 1 | correct |
| 2 | 2 | correct |
| ... | ... | ... |
+------------+------------+-----------+
This table would be a junction table (a.k.a. linking / cross-reference table) in your database, supporting a many-to-many relationship between the tables Employees & Questions, which might look like the following:
Employees
+--------+-----------+-----------+------------+------------+-----+
| Emp_ID | Emp_FName | Emp_LName | Emp_DOB | Emp_Gender | ... |
+--------+-----------+-----------+------------+------------+-----+
| 1 | Joe | Bloggs | 01/01/1969 | M | ... |
| ... | ... | ... | ... | ... | ... |
+--------+-----------+-----------+------------+------------+-----+
Questions
+-------+------------------------------------------------------------+--------+
| Qu_ID | Qu_Desc | Qu_Ans |
+-------+------------------------------------------------------------+--------+
| 1 | What is the meaning of life, the universe, and everything? | 42 |
| ... | ... | ... |
+-------+------------------------------------------------------------+--------+
With this structure, if ever you wish to add or remove a question from the test, you can simply add or remove a record from the table without needing to restructure your database or rewrite any of the queries, forms, or reports which depends upon the existing structure.
Furthermore, since the result of an answer is likely to be a binary correct or incorrect, then this would be better (and far more efficiently) represented using a Boolean True/False data type, e.g.:
Results
+------------+------------+--------+
| EmployeeID | QuestionID | Result |
+------------+------------+--------+
| 1 | 1 | True |
| 1 | 2 | False |
| ... | ... | ... |
| 1 | 15 | True |
| 2 | 1 | True |
| 2 | 2 | True |
| ... | ... | ... |
+------------+------------+--------+
Not only does this consume less memory in your database, but this may be indexed far more efficiently (yielding faster queries), and removes all ambiguity and potential for error surrounding typos & case sensitivity.
With this new structure, if you wanted to see the number of correct answers for each employee, the query can be something as simple as:
select results.employeeid, count(*)
from results
where results.result = true
group by results.employeeid
Alternatively, if you wanted to view the number of employees answering each question correctly (for example, to understand which questions most employees got wrong), you might use something like:
select results.questionid, count(*)
from results
where results.result = true
group by results.questionid
The above are obviously very basic example queries, and you would likely want to join the Results table to an Employees table and a Questions table to obtain richer information about the results.
Contrast the above with your current database structure -
Per your original question:
The second table has 15 fields - A1 through A15 with the words correct or incorrect in each field. I need the total number of incorrect occurrences for each field, not for the entire table.
Assuming that you want to view the number of incorrect answers by employee, you are forced to use an incredibly messy query such as the following:
select
employeeid,
iif(A1='incorrect',1,0)+
iif(A2='incorrect',1,0)+
iif(A3='incorrect',1,0)+
iif(A4='incorrect',1,0)+
iif(A5='incorrect',1,0)+
iif(A6='incorrect',1,0)+
iif(A7='incorrect',1,0)+
iif(A8='incorrect',1,0)+
iif(A9='incorrect',1,0)+
iif(A10='incorrect',1,0)+
iif(A11='incorrect',1,0)+
iif(A12='incorrect',1,0)+
iif(A13='incorrect',1,0)+
iif(A14='incorrect',1,0)+
iif(A15='incorrect',1,0) as IncorrectAnswers
from
YourTable
Here, notice that the answer numbers are also hard-coded into the query, meaning that if you decide to add a new question or remove an existing question, not only would you need to restructure your entire database, but queries such as the above would also need to be rewritten.
I have a table like this,
+----+-----------+
| Id | Value |
+----+-----------+
| 1 | ABC_DEF |
| 31 | AcdEmc |
| 44 | AbcDef |
| 2 | BAA_CC_CD |
| 55 | C_D_EE |
+----+-----------+
I need a query to get the records which Value is only in camelcase (ex: AcdEmc, AbcDef etc. not ABC_DEF).
Please note that this table has only these two types of string values.
You can use UPPER() for this
select * from your_table
where upper(value) <> value COLLATE Latin1_General_CS_AS
If your default collation is case-insensitive you can force a case-sensitive collation in your where clause. Otherwise you can remove that part from your query.
Based on the sample data, the following will work. I think the issue we're dealing with is checking whether the string contains underscores.
SELECT * FROM [Foo]
WHERE Value NOT LIKE '%[_]%';
See Fiddle
UPDATE: Corrected error. I forgot '_' meant "any character".
I'm working on an old SQL Server database that has several tables that look like the following:
|-------------|-----------|-------|------------|------------|-----|
| MachineName | AlarmName | Event | AlarmValue | SampleTime | ... |
|-------------|-----------|-------|------------|------------|-----|
| 3 | 180 | 8 | 6.780 | 2014-02-24 | |
| 9 | 67 | 8 | 1.45 | 2014-02-25 | |
| ... | | | | | |
|-------------|-----------|-------|------------|------------|-----|
There is a separate table in the database that only contains unique strings, as well as the index for each unique string. The unique string table looks like this:
|----------|--------------------------------|
| Id | String |
|----------|--------------------------------|
| 3 | MyMachine |
| ... | |
| 8 | High CPU Usage |
| ... | |
| 67 | 404 Error |
| ... | |
|----------|--------------------------------|
Thus, when we want to get something out of the database, we get the respective rows out, then lookup each missing string based on the index value.
What I'm hoping to do is to replace all of the string indexes with the actual values in a single query without having to do post-processing on the query result.
However, I can't figure out how to do this in a single query. Do I need to use multiple JOINs? I've only been able to figure out how to replace a single value by doing something like -
SELECT UniqueString.String AS "MachineName" FROM UniqueString
JOIN Alarm ON Alarm.MachineName = UniqueString.Id
Any help would be much appreciated!
Yes, you can do multiple joins to the UniqueStrings table, but change the order to start with the table you are reporting on and use unique aliases for the joined table. Something like:
SELECT MN.String AS 'MachineName', AN.String as 'AlarmName' FROM Alarm A
JOIN UniqueString MN ON A.MachineName = MN.Id
JOIN UniqueString AN ON A.AlarmName = AN.Id
etc for any other columns
I consider myself fairly competent in understanding and manipulating C-ish languages; it's not a problem for me to come up with an algorithm and implement it in any C-ish language.
I have tremendous difficulty writing SQL (in my specific case, MySQL) queries. For very simple queries, it isn't a problem, but for complex queries, I become frustrated not knowing where to start. Reading the MySQL documentation is difficult, mainly because the syntax description and explanation isn't organized very well.
For example, the SELECT documentation is all over the map: it starts out with what looks like psuedo-BNF, but then (since the text for aggregate descriptions aren't clickable... like select_expr) it quickly devolves into this frustrating exercise of trying to piece the syntax together yourself by having a number of browser windows open.
Enough whining.
I'd like to know how people, step by step, begin constructing a complex MySQL query. Here is a specific example. I have three tables below. I want to SELECT a set of rows with the following characteristics:
From the userInfo and userProgram tables, I want to select the userName, isApproved, and modifiedTimestamp fields and UNION them into one set. From this set I want to ORDER by modifiedTimestamp taking the MAX(modifiedTimestamp) for every user (i.e. there should be only one row with a unique userName and the timestamp associated with that username should be as high as possible).
From the user table, I want to match the firstName and lastName that is associated with the userName so that it looks something like this:
+-----------+----------+----------+-------------------+
| firstName | lastName | userName | modifiedTimestamp |
+-----------+----------+----------+-------------------+
| JJ | Prof | jjprofUs | 1289914725 |
| User | 2 | user2 | 1289914722 |
| User | 1 | user1 | 1289914716 |
| User | 3 | user3 | 1289914713 |
| User | 4 | user4 | 1289914712 |
| User | 5 | user5 | 1289914711 |
+-----------+----------+----------+-------------------+
The closest I've got is a query that looks like this:
(SELECT firstName, lastName, user.userName, modifiedTimestamp
FROM user, userInfo
WHERE user.userName=userInfo.userName)
UNION
(SELECT firstName, lastName, user.userName, modifiedTimestamp
FROM user, userProgram
WHERE user.userName=userProgram.userName)
ORDER BY modifiedTimestamp DESC;
I feel like I'm pretty close but I don't know where to go from here or even if I'm thinking about this in the right way.
> user
+--------------------+--------------+------+-----+---------+-------+
| Field | Type | Null | Key | Default | Extra |
+--------------------+--------------+------+-----+---------+-------+
| userName | char(8) | NO | PRI | NULL | |
| firstName | varchar(255) | NO | | NULL | |
| lastName | varchar(255) | NO | | NULL | |
| email | varchar(255) | NO | UNI | NULL | |
| avatar | varchar(255) | YES | | '' | |
| password | varchar(255) | NO | | NULL | |
| passwordHint | text | YES | | NULL | |
| access | int(11) | NO | | 1 | |
| lastLoginTimestamp | int(11) | NO | | -1 | |
| isActive | tinyint(4) | NO | | 1 | |
+--------------------+--------------+------+-----+---------+-------+
> userInfo
+-------------------+------------+------+-----+---------+-------+
| Field | Type | Null | Key | Default | Extra |
+-------------------+------------+------+-----+---------+-------+
| userName | char(8) | NO | MUL | NULL | |
| isApproved | tinyint(4) | NO | | 0 | |
| modifiedTimestamp | int(11) | NO | | NULL | |
| field | char(255) | YES | | NULL | |
| value | text | YES | | NULL | |
+-------------------+------------+------+-----+---------+-------+
> userProgram
+-------------------+--------------+------+-----+---------+-------+
| Field | Type | Null | Key | Default | Extra |
+-------------------+--------------+------+-----+---------+-------+
| userName | char(8) | NO | PRI | NULL | |
| isApproved | tinyint(4) | NO | PRI | 0 | |
| modifiedTimestamp | int(11) | NO | | NULL | |
| name | varchar(255) | YES | | NULL | |
| address1 | varchar(255) | YES | | NULL | |
| address2 | varchar(255) | YES | | NULL | |
| city | varchar(50) | YES | | NULL | |
| state | char(2) | YES | MUL | NULL | |
| zip | char(10) | YES | | NULL | |
| phone | varchar(25) | YES | | NULL | |
| fax | varchar(25) | YES | | NULL | |
| ehsChildren | int(11) | YES | | NULL | |
| hsChildren | int(11) | YES | | NULL | |
| siteCount | int(11) | YES | | NULL | |
| staffCount | int(11) | YES | | NULL | |
| grantee | varchar(255) | YES | | NULL | |
| programType | varchar(255) | YES | | NULL | |
| additional | text | YES | | NULL | |
+-------------------+--------------+------+-----+---------+-------+
For what I understand from your question, you seem to need a correlated query, which would look like this:
(SELECT firstName, lastName, user.userName, modifiedTimestamp
FROM user, userInfo ui1
WHERE user.userName=userInfo.userName
AND modifiedtimestamp=(select max(modifiedtimestamp) from userInfo ui2 where ui1.userName=ui2.userName))
UNION
(SELECT firstName, lastName, user.userName, modifiedTimestamp
FROM user, userProgram up1
WHERE user.userName=userProgram.userName
AND modifiedtimestamp=(select max(modifiedtimestamp) from userProgram up2 where up1.userName=up2.userName))
ORDER BY modifiedTimestamp DESC;
So, do I proceed to get to this result? Key is: express clearly the information you want to retrieve, without taking mental shortcuts.
Step 1: Choose the fields I need in the different tables of my database. That's what is between SELECT and FROM. Seems obvious, but it becomes less obvious when it comes to aggregation function like sums or counts. In that case, you have to say, for example "I need the count of lines in userInfo for each firstName". See below in GROUP BY.
Step 2: Knowing the field you need, write the joins between the different corresponding tables. That's an easy one...
Step 3: Express your conditions. It can be easy, like if you want data from user for userName="RZEZDFGBH", or more complicated, like in your case: the way to formulate it so you can get the thing done, if you want only the most recent modifiedtimestamp, is "so that the modifiedtimestamp is equal to the most recent modifiedtimestamp" (that's where you can easily take a mental shortcut and miss the point)
Step 4: If you have aggregates, it's time to set the GROUP BY statement. For example, if you count all line in userInfo for each firstName, you would write "GROUP BY firstName":
SELECT firstName,count(*) FROM userInfo GROUP BY firstName
This gives you the number of entries in the table for each different firstName.
Step 5: HAVING conditions. These are conditions on the aggregates. In the previous example, if you wanted only the data for the firstName having more than 5 lines in the table, you could write SELECT firstName,count(*) FROM userInfo GROUP BY firstName HAVING count(*)>5
Step 6: Sort with ORDER BY. Pretty easy...
That's only a short summary. There is much, much more to discover, but it would be too long to write an entire SQL course here... Hope it helps, though!
As f00 says, it's simple(r) if you think of the data in terms of sets.
One of the issues with the question as it stands is that the expected output doesn't match the stated requirements - the description mentions the isApproved column, but this doesn't appear anywhere in either the query or the expected output.
What this illustrates is that the first step in writing a query is to have a clear idea of what you want to achieve. The bigger issue with the question as it stands is that this is not clearly described - instead, it moves from a sample table of expected output (which would be more helpful if we had corresponding samples of expected input data) straight into a description of how you intend to achieve it.
As I understand it, what you want to see is a list of users (by username, with their associated first and last names), together with the last time any associated record was modified on either the userInfo or userProgram tables.
(It isn't clear whether you want to see users who have no associated activity on either of these other tables - your supplied query implies not, otherwise the joins would be outer joins.)
So, you want a list of users (by username, with their associated first and last names):
SELECT firstName, lastName, userName
FROM user
together with a list of times that records were last modified:
SELECT userName, MAX(modifiedTimestamp)
...
on either the userInfo or userProgram tables:
...
FROM
(SELECT userName, modifiedTimestamp FROM userInfo
UNION ALL
SELECT userName, modifiedTimestamp FROM userProgram
) subquery -- <- this is an alias
...
by userName:
...
group by userName
These two sets of data need to be linked by their userName - so the final query becomes:
SELECT user.firstName, user.lastName, user.userName,
MAX(subquery.modifiedTimestamp) last_modifiedTimestamp
FROM user
JOIN
(SELECT userName, modifiedTimestamp FROM userInfo
UNION ALL
SELECT userName, modifiedTimestamp FROM userProgram
) subquery
ON user.userName = subquery.userName
GROUP BY user.userName
In most versions of SQL, this query would return an error as user.firstName and user.lastName are not included in the GROUP BY clause, nor are they summarised.
MySQL allows this syntax - in other SQLs, since those fields are functionally dependant on userName, adding a MAX in front of each field or adding them to the grouping would achieve the same result.
A couple of additional points:
UNION and UNION ALL are not identical - the former removes duplicates while the latter does not; this makes the former more processor-intensive.
Since duplicates will be removed by the grouping, it is better to use UNION ALL.
Many people will write this query as user joined to userInfo UNIONed ALL with user joined to userProgram - this is because many SQL engines can optimise this type of query more effectively.
At this point, this represents premature optimisation.
There's a lot of good stuff here. Thanks to everyone who contributed. This is a quick summary of the things I found helpful as well as some additional thoughts in connecting building functions to building queries. I wish I could give everyone SO merit badges/points but I think that there can only be one (answer) so I'm picking Traroth based upon point total and personal helpfulness.
A function can be understood as three parts: input, process, output. A query can be understood similarly. Most queries look something like this:
SELECT stuff FROM data WHERE data is like something
The SELECT portion is the output. There are some capabilities for formatting the output here (i.e. using AS)
The FROM portion is the input. The input should be seen as a pool of data; you will want to make this as specific as possible, using a variety of joins and subqueries that are appropriate.
The WHERE portion is like the process, but there's a lot of overlap with the FROM portion. Both the FROM and WHERE portions can reduce the pool of data appropriately using a variety of conditions to filter out unwanted data (or to only included desired data). The WHERE portion can also help format the output.
Here's how I broke down the steps:
Start with thinking about what your output looks like. This stuff goes into the SELECT portion.
Next, you want to define the set of data that you wish to work on. Traroth notes: "Knowing the field you need, write the joins between the different corresponding tables. That's an easy one..." It depends on what you mean by 'easy'. If you are new to writing queries, you will probably just default to writing inner joins (like I did). This is not always the best way to go. http://en.wikipedia.org/wiki/Join_(SQL) is a great resource to understanding the different kinds of joins possible.
As a part of the previous step think about smaller parts of that data set and build up to the complete data set you are interested in. In writing a function, you can write subfunctions to help express your process in a clearer manner. Similar to that, you can write subqueries. A huge tip from Mark Bannister in creating a subquery AND USING AN ALIAS. You will have to reconfigure your output to use this alias, but this is pretty key.
Last, you can use various methods to pare down your data set, removing data you're not interested in
One way to think about the data you are operating on is a giant 2-D matrix: JOINs make larger the horizontal aspect, UNIONs make larger the vertical aspect. All the other filters are designed to make this matrix smaller to be appropriate for your output. I don't know if there is a "functional" analogy to JOIN, but UNION is just adding the output of two functions together.
I realize, though, there are lots of ways that building query IS NOT like writing a function. For example, you can build and pare down your data set in both the FROM and WHERE areas. What was key for me was understanding joins and finding out how to create subqueries using aliases.
just learn to think in terms of sets - then it's simple :P
http://www.codinghorror.com/blog/2007/10/a-visual-explanation-of-sql-joins.html
You can't construct sql without understanding the data in the tables and the logical result required. There's no background given for what data the tables might look like and mean and the description of the results you're trying to gather doesn't make sense to me so I'm not going to venture a guess.
On the latter point... it's rare that you'd want a union of timestamp values multiple sources. Generally speaking when results like that are gathered it's generally for some sort of auditing/tracing. However, when you're discarding all information about the source of the timestamp and just computing a maximum you have... well what exactly?
Anyways, one or more examples of data and desired output and maybe something about the application and the whys is a must to make yourself clear.
To the extent I'll make any prediction about the shape of your eventual statement, (assuming your task will still be to get a single maximum timestamp per user) it's that it will look something like this:
select u.firstname, u.lastname, user_max_time.userName, user_max_time.max_time
from users u,
( select (sometable).userName, max((sometable).(timestamp column))
from (data of interest)
group by (sometable).userName) user_max_time
where u.userName = user_max_time.userName
order by max_time desc;
Your task here would then be to replace the ()s inside the the user_max_time subselect with something that makes sense and maps to your requirements. In terms of a general approach to complex sql, the major suggestion is to build the query from the innermost subselects back out (testing along the way to make sure performance is ok and you don't need intermediate tables).
Anyways, if you're having trouble, and can come back with examples, would be happy to help.
Cheers,
Ben