I'm still a bit of a noob, so pardon if this question is a bit obvious. I did search for an answer but either couldn't understand how the answers I found applied, or simply couldn't find an answer.
I have a massive database housed on a DB2 for i server which I'm accessing using SQL through SQLExplorer (based on Squirrel SQL). The tables are very poorly documented and the first order of business is figuring out how to find my way around.
I want to write a simple query that does this:
1) Allows me to search the entire database looking for tables that include a column called "Remarks" (which contains field descriptions).
2) I then want it to search that column for a keyword.
3) I want a table returned that includes the names of the tables that include that keyword (just the name, I can look up the table alphabetically later and look inside if I need to.)
I need this search to be super lightweight, and I'm hoping the concept I describe will achieve that. Anything that eats up a lot of resources will likely anger the sys admin for the server.
Just to show I have tried (and that I am a complete noob), here's what I've got so far.
SELECT *
FROM <dbname>
WHERE Remarks LIKE '<keyword>'
Feel free to mock, I told you I'm an idiot :-).
Any help? Perhaps at least a push in the right direction?
PS - I can't seem to find a search function in SQLExplorer, if someone knows if I can perhaps use a simple search or filter to accomplish this same goal...that would be great.
You can query the system catalog to identify the tables:
SELECT TABLE_SCHEMA, TABLE_NAME, COLUMN_NAME
FROM QSYS2.SYSCOLUMNS WHERE UPPER(DBILFL) = 'REMARKS'
And then query each table individually:
SELECT * FROM TABLE_SCHEMA.TABLE_NAME WHERE Remarks LIKE '%<keyword>%'
See the LIKE predicate for details of the pattern expression.
Normally i use something like this
SELECT TABLE_SCHEMA, TABLE_NAME
,COLUMN_NAME,SYSTEM_COLUMN_NAME,COLUMN_HEADING
,DATA_TYPE, "LENGTH",NUMERIC_SCALE
FROM QSYS2.SYSCOLUMNS
WHERE UPPER(COLUMN_NAME) LIKE '%REMARK%'
#JamesA, i'm at V6R1, by default, normal user are not authorized to object QADBIFLD in QSYS
Generally, many if not most IBM i shops (especially those that use RPG) stick to 10 (or less) character schema names & table names, and have a 10 (or less) character names for 'system' column names, even if longer column names are also provided. Column text generally describes each field.
SELECT SYSTEM_TABLE_SCHEMA, SYSTEM_TABLE_NAME
,SYSTEM_COLUMN_NAME,
,DATA_TYPE, "LENGTH",NUMERIC_SCALE
,CHAR(COLUMN_TEXT)
FROM QSYS2.SYSCOLUMNS
WHERE UPPER(COLUMN_NAME) LIKE '%REMARK%'
Related
I have a repository of SQL queries and I want to understand which queries use certain tables or fields.
Let's say I want to understand what queries use the email field, how can I write it?
Example SQL query:
select
users.email as email_user
,users.email as email_user_too
,email as email_user_too_2
email as email_user_too_3,
back_email as wrong_email -- wrong field
from users
So to state the problem more accurately, you are sorting through a list of SQL queries [as text], and you now need to find the queries that use certain fields using SQL & RegEx (Regular Expressions) in PostgreSQL. (please tag the question so that StackOverflow indexes your question correctly, more importantly, readers have more context about the question)
PostgreSQL has Regular Expression support OOTB (Out Of The Box). So we skip exploring other ways to do this. (If you are reading this as Microsoft SQL Server person, then I strongly suggest you to have a read of this brilliant article on Microsoft's website on defining a Table-Valued UDF (User Defined Function))
The simplest way I could think of to approach your problem, is to throw away what we don't want out of the query text first, and then filter out what's left.
This way, after throwing away the stuff you don't need, you will be left with a set of "tokens" that you can easily filter, and I'm putting token in quotes since we are not really parsing the SQL language, but if we did that would be the first step: to extract tokens.. (:
Take this query for example:
With Queries (
Id
, QueryText
) As (
values (1, 'select
users.email as email_user
,users.email as email_user_too
,email as email_user_too_2,
email as email_user_too_3,
back_email as wrong_email -- wrong field
from users')
)
Select QueryText
, found
From (
Select Id
, QueryText
, regexp_split_to_table (QueryText, '(--[\s\w]+|select|from|as|where|[ \s\n,])') As found
From Queries
) As Result
Where found != ''
And found = 'back_email'
I have sourced the concept of a "query repository" with a WITH statement for ease of doing the pseudo-code.
I have also selected few words/characters to split QueryText with. Like select, where etc. We don't need these in our 'found' set.
And in the end, as you can see above, I simply used found as what's left and filtered it with the field name you are looking for. (Assuming that you know the field you are looking for)
You could improve upon the RegEx I did, or change the method as you wish to make it better. But I think the general concept addresses what you need to achieve. One problem I can see with my solution right off the bat is the fact that you can search for anything really, not just names of the selected fields - which begs the question, why use RegEx, and not Like statements? But again, as I mentioned, you can improve upon the RegEx and address specific requirements you may have. Using Like might limit you in that direction. (In other words, only you know what's good for you. I can't say that from here.)
You can play with the query online here: db-fiddle query and use https://regex101.com/ for testing your RegEx.
Disclaimer I'm not a PostgreSQL developer. There must be other, perhaps better ways of doing this. (:
Thank you for checking my question out!
I'm trying to write a query for a very specific problem we're having at my workplace and I can't seem to get my head around it.
Short version: I need to be able to target columns by their name, and more specifically by a part of their name that will be consistent throughout all the columns I need to combine or compare.
More details:
We have (for example), 5 different surveys. They have many questions each, but SOME of the questions are part of the same metric, and we need to create a generic field that keeps it. There's more background to the "why" of that, but it's pretty important for us at this point.
We were able to kind of solve this with either COALESCE() or CASE statements but the challenge is that, as more surveys/survey versions continue to grow, our vendor inevitably generates new columns for each survey and its questions.
Take this example, which is what we do currently and works well enough:
CASE
WHEN SURVEY_NAME = 'Service1' THEN SERV1_REC
WHEN SURVEY_NAME = 'Notice1' THEN FNOL1_REC
WHEN SURVEY_NAME = 'Status1' THEN STAT1_REC
WHEN SURVEY_NAME = 'Sales1' THEN SALE1_REC
WHEN SURVEY_NAME = 'Transfer1' THEN Null
ELSE Null
END REC
And also this alternative which works well:
COALESCE(SERV1_REC, FNOL1_REC, STAT1_REC, SALE1_REC) as REC
But as I mentioned, eventually we will have a "SALE2_REC" for example, and we'll need them BOTH on this same statement. I want to create something where having to come into the SQL and make changes isn't needed. Given that the columns will ALWAYS be named "something#_REC" for this specific metric, is there any way to achieve something like:
COALESCE(all columns named LIKE '%_REC') as REC
Bonus! Related, might be another way around this same problem:
Would there also be a way to achieve this?
SELECT (columns named LIKE '%_REC') FROM ...
Thank you very much in advance for all your time and attention.
-Kendall
Table and column information in Db2 are managed in the system catalog. The relevant views are SYSCAT.TABLES and SYSCAT.COLUMNS. You could write:
select colname, tabname from syscat.tables
where colname like some_expression
and syscat.tabname='MYTABLE
Note that the LIKE predicate supports expressions based on a variable or the result of a scalar function. So you could match it against some dynamic input.
Have you considered storing the more complicated properties in JSON or XML values? Db2 supports both and you can query those values with regular SQL statements.
I'm building an abstract gem. i need a sql query that looks like this
SELECT * FROM my_table WHERE * LIKE '%my_search%'
is that possible?
edit:
I don't care about querys performance because it's a feature function of a admin panel, which is used once a month. I also don't know what columns the table has because it's so abstract. Sure i could use some rails ActiveRecord functions to find all the columns but i hoped to avoid adding this logic and just using the *. It's going to be a gem, and i can't know what db is going to be used with it. Maybe there is a sexy rails function that helps me out here.
As I understand the question, basically you are trying to build a sql statement which should check for a condition across all columns in that table. A dirty hack, but this generates the required Sql.
condition_string = MyTable.column_names.join(' LIKE ? OR ')
MyTable.all(:conditions => [condition_string, '%my_search%'])
However, this is not tested. This might work.
* LIKE '...' isn't valid according to the SQL standards, and not supported by any RDBMS I'm aware of. You could try using a function like CONCAT to make the left argument of LIKE, though performance won't be good. As for SELECT *, it's generally something to be avoided.
No, SQL does not support that syntax.
To search all columns you need to use procedures or dynamic SQL. Here's another SO question which may help:
SQL: search for a string in every varchar column in a database
EDIT: Sorry, the question I linked to is looking for a field name, not the data, but it might help you write some dynamically SQL to build the query you need.
You didn't say which database you are using, as there might be a vendor specific solution.
Its only an Idea, but i think it worth testing!
It depends on your DB you can get all Columns of a table, in MSSQL for example you can use somethink like:
select name from syscolumns where id=object_id('Tablename')
Under Oracle guess its like:
select column_name from USER_TAB_COLUMNS where TABLE_NAME = 'Tablename'
and then you will have to go through these columns usign a procedure and maby a cursor so you can check for each Column if the data your searching for is in there:
if ((select count(*) from Tablename where Colname = 'searchingdata') > 0)
then keep the results in a separated table(ColnameWhereFound, RecNrWhereFound).
The matter of Datatye may be an Issue if you try to compare strings with numbers, but if you notice for instance under SQL-Server the syscolumns table contains a column called "usertype" which contains a number seems to refer to the Datatype stored in the Columne, like 2 means string and 7 means int, and 2 means smallint, guess Oracle would have something similar too.
Hope this helps.
I am doing a simple SELECT statement in an Oracle DB and need to select the columns in a somewhat-specific order. Example:
Table A has 100 attributes, one of which is "chapter" that occurs somewhere in the order of columns in the table. I need to select the data with "chapter" first and the remaining columns after in no particular order. Essentially, my statement needs to read something like:
SELECT a.chapter, a. *the remaining columns* FROM A
Furthermore, I cannot simply type:
SELECT a.chapter, a.*
because this will select "chapter" twice.
I know the SQL statement seems simple, but if I know how to solve this problem, I can extrapolate this thought into more complicated areas. Also, let's assume that I can't just scroll over to find the "chapter" column and drag it to the beginning.
Thanks.
You should not select * in a program. As your schema evolves it will bring in things you do not know yet. Think about what happens when someone add a column with the whole book in it? The query you thought would be very cheap suddenly starts to bring in megabytes of data.
That means you have to specify every column you need.
Your best bet is just to select each column explicitly.
A quickie way to get around this would be SELECT a.chapter AS chapterCol, a.* FROM table a; This means there will be one column name chapterCol (assuming there's not a column already there named chapterCol. ;))
If your going to embed the 'SELECT *' into program code, then I would strongly recommend against doing that. As noted by the previous authors, your setting up the code to break if a column is ever added to (or removed from) the table. The simple advice is don't do it.
If your using this in development tools (viewing the data, and the like). Then, I'd recommend creating a view with the specific column order you need. Capture the output from 'SELECT COLUMN_NAME FROM ALL_TAB_COLUMNS' and create a select statement for the view with the column order you need.
This is how I would build your query without having to type all the names in, but with some manual effort.
Start with "Select a.chapter"
Now perform another select on your data base as follows :
select ','|| column_name
from user_tab_cols
where table_name = your_real_table_name
and column_name <> 'CHAPTER';
now take the output from that, in a cut-and-paste manner and append it to what you started with. Now run that query. It should be what you asked for.
Ta-da!
Unless you have a very good reason to do so, you should not use SELECT * in queries. It will break your application every time the schema changes.
I'm looking for a pattern for performing a dynamic search on multiple tables.
I have no control over the legacy (and poorly designed) database table structure.
Consider a scenario similar to a resume search where a user may want to perform a search against any of the data in the resume and get back a list of resumes that match their search criteria. Any field can be searched at anytime and in combination with one or more other fields.
The actual sql query gets created dynamically depending on which fields are searched. Most solutions I've found involve complicated if blocks, but I can't help but think there must be a more elegant solution since this must be a solved problem by now.
Yeah, so I've started down the path of dynamically building the sql in code. Seems godawful. If I really try to support the requested ability to query any combination of any field in any table this is going to be one MASSIVE set of if statements. shiver
I believe I read that COALESCE only works if your data does not contain NULLs. Is that correct? If so, no go, since I have NULL values all over the place.
As far as I understand (and I'm also someone who has written against a horrible legacy database), there is no such thing as dynamic WHERE clauses. It has NOT been solved.
Personally, I prefer to generate my dynamic searches in code. Makes testing convenient. Note, when you create your sql queries in code, don't concatenate in user input. Use your #variables!
The only alternative is to use the COALESCE operator. Let's say you have the following table:
Users
-----------
Name nvarchar(20)
Nickname nvarchar(10)
and you want to search optionally for name or nickname. The following query will do this:
SELECT Name, Nickname
FROM Users
WHERE
Name = COALESCE(#name, Name) AND
Nickname = COALESCE(#nick, Nickname)
If you don't want to search for something, just pass in a null. For example, passing in "brian" for #name and null for #nick results in the following query being evaluated:
SELECT Name, Nickname
FROM Users
WHERE
Name = 'brian' AND
Nickname = Nickname
The coalesce operator turns the null into an identity evaluation, which is always true and doesn't affect the where clause.
Search and normalization can be at odds with each other. So probably first thing would be to get some kind of "view" that shows all the fields that can be searched as a single row with a single key getting you the resume. then you can throw something like Lucene in front of that to give you a full text index of those rows, the way that works is, you ask it for "x" in this view and it returns to you the key. Its a great solution and come recommended by joel himself on the podcast within the first 2 months IIRC.
What you need is something like SphinxSearch (for MySQL) or Apache Lucene.
As you said in your example lets imagine a Resume that will composed of several fields:
List item
Name,
Adreess,
Education (this could be a table on its own) or
Work experience (this could grow to its own table where each row represents a previous job)
So searching for a word in all those fields with WHERE rapidly becomes a very long query with several JOINS.
Instead you could change your framework of reference and think of the Whole resume as what it is a Single Document and you just want to search said document.
This is where tools like Sphinx Search do. They create a FULL TEXT index of your 'document' and then you can query sphinx and it will give you back where in the Database that record was found.
Really good search results.
Don't worry about this tools not being part of your RDBMS it will save you a lot of headaches to use the appropriate model "Documents" vs the incorrect one "TABLES" for this application.