I would like to create a "view" table where I would like to rename 2 rows (2 different names).
Unfortunately, when I type this command, it doesn't work:
SELECT torch_cooling AS MASTER,
REPLACE (REPLACE(torch_cooling, 'gas', 'Gasgekühlt')'water', 'Wassergekühlt') AS TEXT
FROM to_torches
I would like "gas" to be "Gasgekühlt" and "Water" to be "Wassergekühlt".
SELECT torch_cooling AS MASTER,
REPLACE (REPLACE(torch_cooling, 'gas', 'Gasgekühlt') 'water', 'Wassergekühlt') AS TEXT
FROM to_torches`
I think REPLACE is not the right tool for this, consider using a CASE for this.
SELECT torch_cooling AS MASTER,
CASE torch_cooling
WHEN 'gas' THEN 'Gasgekühlt'
WHEN 'water' THEN 'Wassergekühlt'
END AS TEXT
FROM t;
This is not really scalable, if you want to scale this, you should use a mapping table.
Beside the option to use a CASE WHEN construct for that (which is absolutely fine), you can also use a function like DECODE. Usually, your DB provides such a function.
The example according to your situation:
SELECT torch_cooling AS master,
DECODE (torch_cooling ,'gas','Gasgekühlt', 'water','Wassergekühlt') AS text
FROM to_torches;
Please note the exact syntax and function name for this way depend on your DB type since the function name differs.
DECODE will be used in Oracle DB's, but there are similar functions in other DB types, too.
Related
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 am trying to find a "quick" way to lower case all the data (strings) in a table's column inside Google Cloud BigQuery.
Before going into building a script, I'm looking for more shorter way like Query.
How can I query BigQuery to lower case entire column?
You can use an UPDATE statement:
UPDATE YourTable
SET string_column = LOWER(string_column)
WHERE true;
How can I query BigQuery to lower case entire column?
Definitely LOWER is the function to use
For example
#standardSQL
WITH `dataset.table` AS (
SELECT
'https://stackoverflow.com/q/44970976/5221944' AS url,
'How to lower case entire column data in Google Cloud BigQuery' AS title
)
SELECT * REPLACE(LOWER(title) AS title)
FROM `dataset.table`
I am trying to find a "quick" way to lower case all the data
From what I see in your question - I would not recommend using DML's UPDATE as it is Costly and not necessarily "quick" and for sure not flexible in case if you later will want to change your mind let say to have it UPPER or somehow differently (camel style for example)
The quick way in your case I see in creating view like below. It is cheap ($0.00) and flexible to accomodate any logic of transforming columns in original table
SELECT * REPLACE(LOWER(title) AS title)
FROM `dataset.table`
Found out my self. it can be done using UPDATE as Elliott suggested. but it must use standartSQL. I used the #standardSQL declration for that.
#standardSQL
UPDATE dataset.table
SET field = LOWER(field)
WHERE TRUE
I have a table called logs.lognotes, and I want to find a faster way to search for customers who do not have a specific word or phrase in the note. I know I can use "not like", but my question is, can you use DOES NOT CONTAINS to replace not like, in the same way you can use:
SELECT *
FROM table
WHERE CONTAINS (column, ‘searchword’)
Yes, you should be able to use NOT on any boolean expression, as mentioned in the SQL Server Docs here. And, it would look something like this:
SELECT *
FROM table
WHERE NOT CONTAINS (column, ‘searchword’)
To search for records that do not contain the 'searchword' in the column. And, according to
Performance of like '%Query%' vs full text search CONTAINS query
this method should be faster than using LIKE with wildcards.
You can also simply use this:
select * from tablename where not(columnname like '%value%')
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 need to filter out records based on some text matching in nvarchar(1000) column.
Table has more than 400 thousands records and growing. For now, I am using Like condition:-
SELECT
*
FROM
table_01
WHERE
Text like '%A1%'
OR Text like '%B1%'
OR Text like '%C1%'
OR Text like '%D1%'
Is there any preferred work around?
SELECT
*
FROM
table_01
WHERE
Text like '%[A-Z]1%'
This will check if the texts contains A1, B1, C1, D1, ...
Reference to using the Like Condition in SQL Server
You can try the following if you know the exact position of your sub string:
SELECT
*
FROM
table_01
WHERE
SUBSTRING(Text,1,2) in ('B1','C1','D1')
Have a look at LIKE on msdn.
You could reduce the number filters by combining more details into a single LIKE clause.
SELECT
*
FROM
table_01
WHERE
Text like '%[ABCD]1%'
If you can create a FULLTEXT INDEX on that column of your table (that assumes a lot of research on performance and space), then you are probably going to see a big improvement on performance on text matching. You can go to this link to see what FULLTEXT SEARCH is
and this link to see how to create a FULLTEXT INDEX.
I needed to do this so that I could allow two different databases in a filter for the DatabaseName column in an SQL Server Profiler Trace Template.
All you can do is fill in the body of a Like clause.
Using the reference in John Hartscock's answer, I found out that the like clause uses a sort of limited regex pattern.
For the OP's scenario, MSMS has the solution.
Assuming I want databases ABCOne, ABCTwo, and ABCThree, I come up with what is essentially independent whitelists for each character:
Like ABC[OTT][NWH][EOR]%
Which is easily extensible to any set of strings. It won't be ironclad, that last pattern would also match ABCOwe, ABCTnr, or ABCOneHippotamus, but if you're filtering a limited set of possible values there's a good chance you can make it work.
You could alternatively use the [^] operator to present a blacklist of unacceptable characters.