I have a table with data like this:
ND
10212121
10232323
10212323
212526
295652
232565
I would like make a select to all ND from this table excluding these starting with 10...using openquery to a oracle database.
Regards
In the following query I check the first two characters of the ND column and compare against 10 to see if they be equal. You did not mention whether or not ND is a numeric type, so I added a cast to varchar2 so that the substring will work.
SELECT ND
FROM yourTable
WHERE SUBSTR(CAST(ND AS varchar2(30)), 1, 2) <> '10'
Related
I need the below results ..
Table :
Order postcode qnty
123 2234 1
Expected result:
Order 123
Postcode 2234
Qnty 1
SQL server:
Select pvt.element_name
,pvt.element_value(select order.postcode
from table name)up
unpivot (element_value for element_name in(order,postcode) as Pvt
How to achieve this in db2?
Db2 for IBM i doesn't have a built-in unpviot function.. AFAIK, it's not available on any Db2 platofrm...unless it's been added recently.
The straight forward method
select 'ORDER' as key, order as value
from mytable
UNION ALL
select 'POSTCODE', postcode
from mytable
UNION ALL
select 'QNTY', char(qnty)
from mytable;
A better performing method is to do a cross join between the source table and a correlated VALUES of as many rows as columns that need to be unpivoted.
select
Key, value
from mytable T,
lateral (values ('ORDER', t.order)
, ('POSTCODE', t.postcode)
, ('QNQTY', varchar(t.qnty))
) as unpivot(key, value);
However, you'll need to know ahead of time what the values you're unpivoting on.
If you don't know the values, there are some ways to unpivot with the XMLTABLE (possibly JSON_TABLE) that might work. I've never used them, and I'm out of time to spend answering this question. You can find some examples via google.
I have created a stored procedure for LUW that rotate a table:
https://github.com/angoca/db2tools/blob/master/pivot.sql
You just need to call the stored procedure by passing the tablename as parameter, and it will return a cursor with the headers of the column in the first column.
Is there a way in Postgres I can parse string values to integers? Basically I'm trying to query one table (let's call it table_one) using values from another table (table_two) in a character varying column.
Say SELECT char_column FROM table_two results in "2,4,6,8", I'd like to use this result in a second query as;
SELECT column FROM table_one WHERE some_id IN (2,4,6,8)
How can I get the string "2,4,6,8" to values 2,4,6,8 so as to be able to use it in the second query?
I've tried casting and to_number functions to no success.
SELECT column
FROM table
WHERE other_column = ANY(string_to_array('2,4,6,8', ',')::INT[])
Please try this:
SELECT column FROM table WHERE other_column IN (
SELECT NULLIF(i,'')::int
FROM regexp_split_to_tables('2,4,6,8',',') t(i)
)
Explanation:
The part regexp_split_to_tables('2,4,6,8',',') will split the string into a table. Then you cast it into integer.
Hopefully it will help you.
How can I add a leading zero to a varchar column in the table and I don't know the length of the column. If the column is not null, then I should add a leading zero.
Examples:
345 - output should be 0345
4567 - output should be 04567
I tried:
SELECT lpad(column1,WHAT TO SPECIFY HERE?, '0')
from table_name;
I will run an update query after I get this.
You may be overthinking this. Use plain concatenation:
SELECT '0' || column1 AS padded_col1 FROM table_name;
If the column is NULL, nothing happens: concatenating anything to NULL returns NULL.
In particular, don't use concat(). You would get '0' for NULL columns, which you do not want.
If you also have empty strings (''), you may need to do more, depending on what you want.
And since you mentioned your plan to updated the table: Consider not doing this, you are adding noise, that could be added for display with the simple expression. A VIEW might come in handy for this.
If all your varchar values are in fact valid numbers, use an appropriate numeric data type instead and format for display with the same expression as above. The concatenation automatically produces a text result.
If circumstances should force your hand and you need to update anyway, consider this:
UPDATE table_name
SET column1 = '0' || column1
WHERE column1 IS DISTINCT FROM '0' || column1;
The added WHERE clause to avoid empty updates. Compare:
How do I (or can I) SELECT DISTINCT on multiple columns?
try concat instead?..
SELECT concat(0::text,column1) from table_name;
Is it possible to SELECT * but without n-th column, for example 2nd?
I have some view that have 4 and 5 columns (each has different column names, except for the 2nd column), but I do not want to show the second column.
SELECT * -- how to prevent 2nd column to be selected?
FROM view4
WHERE col2 = 'foo';
SELECT * -- how to prevent 2nd column to be selected?
FROM view5
WHERE col2 = 'foo';
without having to list all the columns (since they all have different column name).
The real answer is that you just can not practically (See LINK). This has been a requested feature for decades and the developers refuse to implement it. The best practice is to mention the column names instead of *. Using * in itself a source of performance penalties though.
However, in case you really need to use it, you might need to select the columns directly from the schema -> check LINK. Or as the below example using two PostgreSQL built-in functions: ARRAY and ARRAY_TO_STRING. The first one transforms a query result into an array, and the second one concatenates array components into a string. List components separator can be specified with the second parameter of the ARRAY_TO_STRING function;
SELECT 'SELECT ' ||
ARRAY_TO_STRING(ARRAY(SELECT COLUMN_NAME::VARCHAR(50)
FROM INFORMATION_SCHEMA.COLUMNS
WHERE TABLE_NAME='view4' AND
COLUMN_NAME NOT IN ('col2')
ORDER BY ORDINAL_POSITION
), ', ') || ' FROM view4';
where strings are concatenated with the standard operator ||. The COLUMN_NAME data type is information_schema.sql_identifier. This data type requires explicit conversion to CHAR/VARCHAR data type.
But that is not recommended as well, What if you add more columns in the long run but they are not necessarily required for that query?
You would start pulling more column than you need.
What if the select is part of an insert as in
Insert into tableA (col1, col2, col3.. coln) Select everything but 2 columns FROM tableB
The column match will be wrong and your insert will fail.
It's possible but I still recommend writing every needed column for every select written even if nearly every column is required.
Conclusion:
Since you are already using a VIEW, the simplest and most reliable way is to alter you view and mention the column names, excluding your 2nd column..
-- my table with 2 rows and 4 columns
DROP TABLE IF EXISTS t_target_table;
CREATE TEMP TABLE t_target_table as
SELECT 1 as id, 1 as v1 ,2 as v2,3 as v3,4 as v4
UNION ALL
SELECT 2 as id, 5 as v1 ,-6 as v2,7 as v3,8 as v4
;
-- my computation and stuff that i have to messure, any logic could be done here !
DROP TABLE IF EXISTS t_processing;
CREATE TEMP TABLE t_processing as
SELECT *, md5(t_target_table::text) as row_hash, case when v2 < 0 THEN true else false end as has_negative_value_in_v2
FROM t_target_table
;
-- now we want to insert that stuff into the t_target_table
-- this is standard
-- INSERT INTO t_target_table (id, v1, v2, v3, v4) SELECT id, v1, v2, v3, v4 FROM t_processing;
-- this is andvanced ;-)
INSERT INTO t_target_table
-- the following row select only the columns that are pressent in the target table, and ignore the others.
SELECT r.* FROM (SELECT to_jsonb(t_processing) as d FROM t_processing) t JOIN LATERAL jsonb_populate_record(NULL::t_target_table, d) as r ON TRUE
;
-- WARNING : you need a object that represent the target structure, an exclusion of a single column is not possible
For columns col1, col2, col3 and col4 you will need to request
SELECT col1, col3, col4 FROM...
to omit the second column. Requesting
SELECT *
will get you all the columns
I am using mysql workbench (SQL Editor). I need copy the list of columns in each query as was existed in Mysql Query Browser.
For example
Select * From tb
I want have the list of fields like as:
id,title,keyno,......
You mean you want to be able to get one or more columns for a specified table?
1st way
Do SHOW COLUMNS FROM your_table_name and from there on depending on what you want have some basic filtering added by specifying you want only columns that data type is int, default value is null etc e.g. SHOW COLUMNS FROM your_table_name WHERE type='mediumint(8)' ANDnull='yes'
2nd way
This way is a bit more flexible and powerful as you can combine many tables and other properties kept in MySQL's INFORMATION_SCHEMA internal db that has records of all db columns, tables etc. Using the query below as it is and setting TABLE_NAME to the table you want to find the columns for
SELECT COLUMN_NAME FROM INFORMATION_SCHEMA.COLUMNS WHERE TABLE_NAME='your_table_name';
To limit the number of matched columns down to a specific database add AND TABLE_SCHEMA='your_db_name' at the end of the query
Also, to have the column names appear not in multiple rows but in a single row as a comma separated list you can use GROUP_CONCAT(COLUMN_NAME,',') instead of only COLUMN_NAME
To select all columns in select statement, please go to SCHEMAS menu and right click ok table which you want to select column names, then select "Copy to Clipboard > Select All statement".
The solution accepted is fine, but it is limited to field names in tables. To handle arbitrary queries would be to standardize your select clause to be able to use regex to strip out only the column aliases. I format my select clause as "1 row per element" so
Select 1 + 1 as Col1, 1 + 2 Col2 From Table
becomes
Select 1 + 1 as Col1
, 1 + 2 Col2
From Table
Then I use simple regex on the "1 row per select element" version to replace "^.* " (excluding quotes) with nothing. The regex finds everything before the final space in the line, so it assumes your column aliases doesn't contain spaces (so replace spaces with underscore). Or if you don't like "1 row per element" then always use "as" keyword to give you a handle that regex can grasp.