I'm trying to extract a list of tables in FROM|JOIN with a regex but I want to exclude all aliases and spaces in order to get only the schema and table (SCHEMA.TABLE).
The following regex do it but I can't exclude the aliases:
(?i)(?:FROM|JOIN) .*?(.*\..*)( ?\w)$
SELECT A,B
FROM SCHEMA.TABLE TB
WHERE A=B; --> Return 'SCHEMA.TABLE TB', I want to exclude everything after the table name.
Any help is appreciated.
EDIT: Some tables don't have alias at the end of the line:
Case 1:
SELECT A,B
FROM SCHEMA.TABLE TB
WHERE A=B
Case 2:
SELECT A,B
FROM SCHEMA.TABLE
WHERE A=B
So the REGEX should work in both cases.
I guess I found the regex that works:
(?i)(?:FROM|JOIN) .?(..[^ ]\w*)
What is important is the use at the end of \w*, that is selecting only word characters.
Hope this helps!
Related
WHERE ("z" = 'abc')) "test"
You need to show the entire query, but "test" is not part of the where clause. It looks like a table alias or a column alias. For example:
select "test".*
from (select t.*
from t
where ("z" = 'abc')
) "test"
I do not advise escaping column aliases or table aliases, but your code seems to be doing that.
I have over 40 tables I want to append in BigQuery using standard SQL. I have already formatted them to have the exact same schema. When I try to use the '*' wildcard at the end of table name in my FROM clause, I get the following error:
Syntax error: Expected end of input but got "*" at [95:48]
I ended up manually doing a UNION DISTINCT on all my tables. Is this the best way to do this? Any help would be appreciated. Thank you!
CREATE TABLE capstone-320521.Trips.Divvy_Trips_All AS
SELECT * FROM capstone-320521.Trips.Divvy_Trips_*;
--JOIN all 2020-21 trips data
CREATE TABLE capstone-320521.Trips.Divvy_Trips_Raw_2020_2021 AS
SELECT * FROM capstone-320521.Trips.Divvy_Trips_2020_04
UNION DISTINCT
SELECT * FROM capstone-320521.Trips.Divvy_Trips_2020_05
UNION DISTINCT
SELECT * FROM capstone-320521.Trips.Divvy_Trips_2020_06
UNION DISTINCT
Syntax error: Expected end of input but got "*"
I think the problem is in missing ticks around the table references. Try below
CREATE TABLE `capstone-320521.Trips.Divvy_Trips_All` AS
SELECT * FROM `capstone-320521.Trips.Divvy_Trips_*`
Note: The wildcard table name contains the special character (*), which means that you must enclose the wildcard table name in backtick (`) characters. See more at Enclose table names with wildcards in backticks
I am unaware of any such UNION DISTINCT syntax. If your intention is to do a union of the 3 tables and remove any duplicate records in the process, then just using UNION should suffice:
CREATE TABLE capstone-320521.Trips.Divvy_Trips_Raw_2020_2021 AS
SELECT * FROM capstone-320521.Trips.Divvy_Trips_2020_04
UNION
SELECT * FROM capstone-320521.Trips.Divvy_Trips_2020_05
UNION
SELECT * FROM capstone-320521.Trips.Divvy_Trips_2020_06;
Note that in general it is bad practice to use SELECT * with union queries. The reason has to do with that a union between two (or more) tables is generally only valid if the two queries involved have the number and types of columns. Using SELECT * obfuscates what columns are actually being selected, and so it is preferable to always explicitly list out the columns.
I need help to understand what I did wrong ... I'm a beginner so excuse me the simple question!
I have two tables in which I want to do a JOIN where, in one of the columns I had to use REPLACE to remove the text 'RIxRE' that does not interest me.
In table 1, this is the original text of the column id_notification: RIxRE-1787216-BSB and this is the text that returns when using REPLACE: 1787216-BSB
In column 2, this is the text that exists: 1787216-BSB
However, I get the following error:
# 1054 - Unknown column 'a.id_not' in 'on clause'
SELECT *, REPLACE(a.id_notificacao,'RIxRE','') AS id_not
FROM robo_qualinet_cadastro_remedy a
JOIN (SELECT * FROM painel_monitoracao) b ON a.id_not = b.id_notificacao
You cannot use a column alias again in the FROM clause or the WHERE clause after the SELECT (and possibly not other clauses as well, depending on the database).
So, repeat the expression:
SELECT *, REPLACE(a.id_notificacao, 'RIxRE', '') AS id_not
FROM robo_qualinet_cadastro_remedy rqcr JOIN
painel_monitoracao pm
ON REPLACE(rqcr.id_notificacao, 'RIxRE', '') = pm.id_notificacao;
Notes:
Use table aliases the mean something, such as abbreviations for the able names.
The subquery is not necessary in the FROM clause.
I suspect that you have a problem with your data model if you need a REPLACE() for the JOIN condition, but that is a different issue from this question.
I have to compare comma separated values with a column in the table and find out which values are not in database. [kind of master data validation]. Please have a look at the sample data below:
table data in database:
id name
1 abc
2 def
3 ghi
SQL part :
Here i am getting comma separated list like ('abc','def','ghi','xyz').
now xyz is invalid value, so i want to take that value and return it as output saying "invalid value".
It is possible if i split those value, take it in temp table, loop through each value and compare one by one.
but is there any other optimal way to do this ??
I'm sure if I got the question right, however, I would personally be trying to get to something like this:
SELECT
D.id,
CASE
WHEN B.Name IS NULL THEN D.name
ELSE "invalid value"
END
FROM
data AS D
INNER JOIN badNames B ON b.Name = d.Name
--as SQL is case insensitive, equal sign should work
There is one table with bad names or invalid values if You prefer. This can a temporary table as well - depending on usage (a black-listed words should be a table, ad hoc invalid values provided by a service should be temp table, etc.).
NOTE: The select above can be nested in a view, so the data remain as they were, yet you gain the correctness information. Otherwise I would create a cursor inside a function that would go through the select like the one above and alter the original data, if that is the goal...
It sounds like you just need a NOT EXISTS / LEFT JOIN, as in:
SELECT tmp.InvalidValue
FROM dbo.HopeThisIsNotAWhileBasedSplit(#CSVlist) tmp
WHERE NOT EXISTS (
SELECT *
FROM dbo.Table tbl
WHERE tbl.Field = tmp.InvalidValue
);
Of course, depending on the size of the CSV list coming in, the number of rows in the table you are checking, and the style of splitter you are using, it might be better to dump the CSV to a temp table first (as you mentioned doing in the question).
Try following query:
SELECT SplitedValues.name,
CASE WHEN YourTable.Id IS NULL THEN 'invalid value' ELSE NULL END AS Result
FROM SplitedValues
LEFT JOIN yourTable ON SplitedValues.name = YourTable.name
One of my column in sql table contain values like
$$ADC.ES%32,A
How can I match this in my select where clause?
Select .... From .... Where ColumnName = '$$ADC.ES%32,A'
Thanks
it should find with your query any way try this
select * from table where name like '$$ADC.ES%32,A'