i want to search for a value in all columns in a SQL table.
I have different data types, like a bigInt, booleans or strings.
My question now is, how is it possible to search a value in all columns in a SQL Table?
Thanks for your help.
Kind regards
Max
There is no shortcut for this, you have to specify the list of columns you wish to search.
SELECT *
FROM table_name
WHERE column1 LIKE '%search_key%' OR
column2 LIKE '%search_key%' OR
column3 LIKE '%search_key%'
Or create metadata for all the columns into a single column and use like on the metadata column
Related
To find for one column, I can use this.
SELECT column1
FROM `dataset.table`
WHERE column1 IS NULL OR column1 = '';
But what if i have 100 columns? Instead of going through column by column, changing column 1 to 2,3,etc.,I'm looking for one for all solution. I'm kinda new to SQL and Data Cleaning.
Consider below approach
select *
from your_table t
where regexp_contains(to_json_string(t), r':(?:null|"")[,}]')
above will return you all rows where any column either null or empty string
Does SQLite offer a way to search every column of a table for a searchkey?
SELECT * FROM table WHERE id LIKE ...
Selects all rows where ... was found in the column id. But instead to only search in the column id, I want to search in every column if the searchstring was found. I believe this does not work:
SELECT * FROM table WHERE * LIKE ...
Is that possible? Or what would be the next easy way?
I use Python 3 to query the SQLite database. Should I go the route to search through the dictionary after the query was executed and data returned?
A simple trick you can do is:
SELECT *
FROM table
WHERE ((col1+col2+col3+col4) LIKE '%something%')
This will select the record if any of these 4 columns contain the word "something".
No; you would have to list or concatenate every column in the query, or reorganize your database so that you have fewer columns.
SQLite has full-text search tables where you can search all columns at once, but such tables do not work efficiently with any other queries.
I could not comment on #raging-bull answer. So I had to write a new one. My problem was, that I have columns with null values and got no results because the "search string" was null.
Using coalesce I could solve that problem. Here sqlite chooses the column content, or if it is null an empty string (""). So there is an actual search string available.
SELECT *
FROM table
WHERE (coalesce(col1,"") || coalesce(col2,"") || coalesce(col3,"") || coalesce(col4,"")) LIKE '%something%')
I'm not quite sure, if I understood your question.
If you want the whole row returned, when id=searchkey, then:
select * from table where id=searchkey;
If you want to have specific columns from the row with the correct searchkey:
select col1, col2, col3 from table where id=searchkey;
If you want to search multiple columns for the "id": First narrow down which columns this could be found in - you don't want to search the whole table! Then:
select * from table where col1=searchkey or col2=searchkey or col3=searchkey;
I have a column x-property which has values xxx-abc, xxx-def, 123, mno ....etc.
I have another column isx.
I wish to update table to fill up column isx such that if the row in x-property column contains xxx then add abc, else add xyz.
I do not have SQL full text search in my table.
Any help is appreciated.
Instead of contains use like, because from the docs:
CONTAINS is a predicate used in the WHERE clause of a Transact-SQL SELECT statement to perform SQL Server full-text search on full-text indexed columns containing character-based data types.
This is your query:
update
table
set
isx =
case
when x-property like '%xxx%' then 'abc'
else 'xyz'
end
I understand that AS is used to create an alias. Therefore, it makes sense to have one long name aliased as a shorter one. However, I am seeing a SQL query NULL as ColumnName
What does this imply?
SELECT *, NULL as aColumn
Aliasing can be used in a number of ways, not just to shorten a long column name.
In this case, your example means you're returning a column that always contains NULL, and it's alias/column name is aColumn.
Aliasing can also be used when you're using computed values, such as Column1 + Column2 AS Column3.
When unioning or joining datasets using a 'Null AS [ColumnA] is a quick way to make sure create a complete dataset that can then be updated later and a new column does not need to be created in any of the source tables.
In the statement result we have a column that has all NULL values. We can refer to that column using alias.
In your case the query selects all records from table, and each result record has additional column containing only NULL values. If we want to refer to this result set and to additional column in other place in the future, we should use alias.
It means that "aColumn" has only Null values. This column could be updated with actual values later but it's an empty one when selected.
---I'm not sure if you know about SSIS, but this mechanism is useful with SSIS to add variable value to the "empty" column.
When using SELECT you can pass a value to the column directly.
So something like :
SELECT ID, Name, 'None' AS Hobbies, 0 AS NumberOfPets, NULL AS Picture, '' AS Adress
Is valid.
It can be used to format nicely a query output when using UNION/UNION ALL.
Query result can have a new column that has all NULL values. In SQL Server we can do it like this
SELECT *, CAST(NULL AS <data-type>) AS as aColumn
e.g.
SELECT *, CAST(NULL AS BIGINT) AS as aColumn
How about without using the the as
SELECT ID
, Name
, 'None' AS Hobbies
, 0 AS NumberOfPets
, NULL Picture
Usually adding NULL as [Column] name at the end of a select all is used when inserting into another table a calculated column based on the table you have just selected.
UPDATE #TempTable SET aColumn = Column1 + Column2 WHERE ...
Then exporting or saving the results to another table.
I want to return a table with columns names which are not defined somewhere else.
Under these columns names I want the records to contain data from different sources: a table, a previously declared variable and a const.
What is the right syntax to do so?
i.e.
columns names: "fromTable" (=select col1 from MyTable where id=1) , "fromVar" (=#MyVar), "fromConst"(=5).
thanks!
Simply
select <columns>,#myVar as FromVar, '5' as FromConst
from table