I have used before LIKE command to match patterns to a specific SQL table column. For example need all the rows which all have name started with "A". But this case I am trying to solve things reversed , have a column "Description" where all the regular expressions row wise. And need to return specific rows which all match with a input text.
Table A
Description
============
\b[0-9A-Z ]*WT[A-Z0-9 ]*BALL\b
\b[0-9A-Z ]*WG[A-Z0-9 ]*BAT\b
\b[0-9A-Z ]*AX[A-Z0-9 ]*BAR\b
So Description column has these regular expressions and the input text "BKP 200 WT STAR BALL" So need to return the first row after select query since that the only match. If any one can help with the select query or idea, would be very helpful. If more details required please mention also.
Cross join you regex table to one that you searching within. Then just match two columns against each other.
Here's the example how you can match any of your expressions.
Here how you can match all of them
Related
I have a table named Posts I would like to count and profile in Snowflake using the current Snowsight UI.
When I return the results via EXPLAIN using TABLULAR I am able to return the set with the combination of TABLE, RESULT_SCAN, and LAST_QUERY_ID functions, but any predicate or filter or column reference seems to fail.
Is there a valid way to do this in Snowflake with the TABLE function or is there another way to query the output of the EXPLAIN using TABLULAR?
-- Works
EXPLAIN using TABULAR SELECT COUNT(*) from Posts;
-- Works
SELECT t.* FROM TABLE(RESULT_SCAN(LAST_QUERY_ID())) as t;
-- Does not work
SELECT t.* FROM TABLE(RESULT_SCAN(LAST_QUERY_ID())) as t where operation = 'GlobalStats';
-- invalid identifier 'OPERATION', the column does not seem recognized.
Tried the third example and expected the predicate to apply to the function output. I don't understand why the filter works on some TABLE() results and not others.
You need to double quote the column name
where "operation"=
From the Documentation
Note that because the output column names from the DESC USER command
were generated in lowercase, the commands use delimited identifier
notation (double quotes) around the column names in the query to
ensure that the column names in the query match the column names in
the output that was scanned
I have a name column in Teradata that has customer full name all in one column. There are some names with -,_,.,/,#,! in between the name characters. I want to be able to pull records where there are names with these conditions. Is there a better option to pull records with the scenario below?
Currently, I am writing query like this
SELECT NAME FROM TABLESOURCE WHERE NAME LIKE ANY('%-%','%.%','%#%','%~%','%!%')
Thanks in advance.
I haven't tested this but I think you could test for equality when those characters are removed from the name using otranslate
select name
from tablesource
where name <> otranslate(name,'-.#~!','')
I would like to ask if it is possible to do this:
For example the search string is '009' -> (consider the digits as string)
is it possible to have a query that will return any occurrences of this on the database not considering the order.
for this example it will return
'009'
'090'
'900'
given these exists on the database. thanks!!!!
Use the Like operator.
For Example :-
SELECT Marks FROM Report WHERE Marks LIKE '%009%' OR '%090%' OR '%900%'
Split the string into individual characters, select all rows containing the first character and put them in a temporary table, then select all rows from the temporary table that contain the second character and put these in a temporary table, then select all rows from that temporary table that contain the third character.
Of course, there are probably many ways to optimize this, but I see no reason why it would not be possible to make a query like that work.
It can not be achieved in a straight forward way as there is no sort() function for a particular value like there is lower(), upper() functions.
But there is some workarounds like -
Suppose you are running query for COL A, maintain another column SORTED_A where from application level you keep the sorted value of COL A
Then when you execute query - sort the searchToken and run select query with matching sorted searchToken with the SORTED_A column
I have a weird issue with my FTS4 index in SQLite3, namely that a MATCH query for one term returns not the exact match but another, similar one, and vice versa.
Here is an example to illustrate it better:
SELECT name FROM test_idx WHERE name MATCH 'lehmbruck-museum';
-- "Lehmbruck-Archiv"
SELECT name FROM test_idx WHERE name MATCH 'lehmbruck-archiv';
-- "Lehmbruck-Museum"
It seems to have something to do with the dash, here is a similar case that exhibits the same behavior:
SELECT name FROM test_idx WHERE name MATCH 'some-thing';
-- "some-thang"
SELECT name FROM test_idx WHERE name MATCH 'some-thang';
-- "some-thing"
Here is how this test database is built, in case somebody wants to have a go at reproducing it:
CREATE VIRTUAL TABLE test_idx USING fts4(name);
INSERT INTO test_idx (name) VALUES
('some-thing'), ('some-thang'),
('Lehmbruck-Museum'), ('Lehmbruck-Archiv');
SELECT name FROM test_idx WHERE name MATCH 'lehmbruck-museum';
What you pass to MATCH here is a full text query expression. The - character is a unary operator in that expression language that is a stand in for the NOT set operation, and is certainly giving you your unexpected results. Notably - the exact opposite of what you expect! Of course, it is finding exactly what the query is instructed to find - the string lehmbruck and NOT museum at the end!
You'll need to escape it to get the results you want - or perhaps employ the LIKE operator if you are looking at a single column in a table.
Some more information on this expression language can be found in section 3 of the FTS3 and FTS4 documentation on the SQLite doc site here.
I have two tables in a PostgreSQL database.
The first table contains an ID and a text field with up to 200 characters and the second table contains a data definition table which has a column that contains smileys or acronyms and a second column which converts them to plain readable English.
The number of records in table 1 is about 1200 and the number in table two is about 300.
I wish to write a SQL statement which will convert any text speak in column 1 in table one into normal readable language based on the definitions in Table 2.
So for example if the value in table 1 reads as: Finally Finished :)
The transformed SQL would be something like: Finally Finished Smiles or smiling,
where the definition is pulled from the second table.
Note the smiley could be anywhere in the text in column one and could one of three hundred characters.
Does anyone know if this is possible?
Yes. Do you want to do it entirely in SQL, or are you writing a brief bit of code to do this? I'm not entirely sure of how to do it all in SQL but I would consider something like what is below:
SELECT row.textToTranslate FROM Table_1
oldText = row.textToTranslate
Split row.textToTranslate by some delimeter
For each word in row.textToTranslate:
queryResult = SELECT FROM Table_2 WHERE pretranslate=word
if(queryResult!=Null)
modifiedText = textToTranslate.replace(word, queryResult)
UPDATE Table_1 SET translatedText=modifiedText WHERE textToTranslate=oldText