I want to update multiple attributes of same field in SQL. How can I write a single query to perform this task in SQL?
I am attaching the picture for assistance to this question. Please suggest me one line query to perform this task, i.e. to update all number from '111' to '555' and '222' to '999' with single line SQL Query.
You may use a single update with the help of a CASE expression:
UPDATE yourTable
SET NUMBER = CASE NUMBER WHEN '111' THEN '555'
WHEN '222' THEN '999' END
WHERE NUMBER IN ('111', '222');
You can try this:
update table
set column = case when column = 111 then 555
when column = 222 then 999
end
where column in (111,222);
Related
I am trying to apply WHERE clause on DIMENSION of the AWS Timestream records. However, I got the error: Column does not exist
Here is my table schema:
The table schema
The table measure
First, I will show all the sample data I put in the table
SELECT username, time, manual_usage
FROM "meter-reading"."meter-metrics"
ORDER BY time DESC
LIMIT 4
The result:
Result
What I wanted to do is to query and filter the records by the Dimension ("username" specifically).
SELECT *
FROM "meter-reading"."meter-metrics"
WHERE measure_name = "OnceADay"
ORDER BY time DESC LIMIT 10
Then I got the Error: Column 'OnceADay' does not exist
I tried to search for any quotas for Dimensions name and check for error in my schema:
https://docs.aws.amazon.com/timestream/latest/developerguide/ts-limits.html#limits.naming
https://docs.aws.amazon.com/timestream/latest/developerguide/ts-limits.html#limits.system_identifier
But I didn't find that my "username" for the dimension violate any of the above rules.
I checked for some other queries by AWS Blog, the author used the WHERE clause for the Dimension filter normally:
https://aws.amazon.com/blogs/database/effective-queries-for-common-query-patterns-in-amazon-timestream/
I figured it out after I tried with the sample code. Turn out it was a silly mistake I believe.
Using apostrophe (') instead of single quotation marks ("") solved my problem.
SELECT *
FROM "meter-reading"."meter-metrics"
WHERE username = 'OnceADay'
ORDER BY time DESC LIMIT 10
I have a table similar to the one attached below:
What I would like to do, using power query, is conditionally filter out (remove) rows where CenterNum = 1101 and DepCode = 257. I figured Table.SelectRows() would work but it doesn't and the query just returns, this table is empty. The #"Expanded AccountLookup" ,in my formula below, is referencing the power query applied step before the one I am trying to create. I'm hoping to get some input on how to remove rows based on these two paramters.
= Table.SelectRows(#"Expanded AccountLookup", each [CostCenterNumber] = "1111001" and [NoteTypeCode] = "257")
Thank you!
You didn’t post a screenshot so it is hard to tell if the column format is text or numerical but try removing the quotes around the numbers
= Table.SelectRows(#"Expanded AccountLookup", each [CostCenterNumber] = 1111001 and [NoteTypeCode] = 257)
If that doesn't work, check the actual column names against what you are using, especially for case (upper/lower) and leading/trailing spaces. The best way to do that is to temporarily rename it, and look at the code for the "from name"
For example : I have a column named description, in this column there are millions of records. I just want to filter records only with "a=x" (where x can be any value) using pentaho?.This pattern can be at any position in the column
Assuming that in your description column you always have a value after the pattern 'a=' you could just do the filtering in PostgreSQL using LIKE
SELECT
description
FROM
your_table
WHERE
description LIKE '%a=%'
Then you just put this query inside a Table Input step in your transformation.
I am new to Oracle programming.
I want to check the "msg" value of "Table1" against the "regex" values from "Table2".
If the regular expression matches as such, I want to update the respective "regex_id" in "Table1".
Usual query: SELECT 'match found' FROM DUAL WHERE REGEXP_LIKE('s 27', '^(s27|s 27)')
Table1
MSG REG_EXID
Ss27 ?
s27 ?
s28 ?
s29 ?
Table2
REGEX REG_EXID RELEVANCE
^(s27|s 27) 1 10
^(s29|s 29) 2 2
^(m28|m 28) 3 2
^(s27|s 27) 4 100
Taking the newly added "relevance" into account, with Oracle 11g you could try along
UPDATE Table1 T1
SET T1.reg_exID =
(SELECT DISTINCT
MAX(reg_exID) KEEP (DENSE_RANK FIRST ORDER BY relevance DESC) OVER (PARTITION BY regex)
FROM Table2
WHERE REGEXP_LIKE(T1.msg, regex)
)
;
See SQL Fiddle.
You could work along
UPDATE Table1
SET reg_exID = (SELECT reg_exID FROM Table2 WHERE REGEXP_LIKE(Table1.msg, regex));
Please keep in mind:
None of your current sample records will be updated as REGEX are case sensitive.
The above UPDATE will fail, if more than a single REGEX does match.
You could rewrite the current REGEX expressions along "^m ?28".
See it in action: SQL Fiddle (With some data added to actually show the effect.)
Please comment if and as clarification/adjustment is required.
I need to trim the date from a text string in the function call of my app.
The string comes out as text//date and I would like to trim or replace the date with blank space. The column name is overall_model and the value is ford//1911 or chevy//2011, but I need the date part removed so I can loop over the array or list to get an accurate count of all the models.
The problem is that if there is a chevy//2011 and a chevy//2010 I return two rows in my table because of the date. So if I can remove the date and loop over them I can get my results of chevy there are 23 chevy models.
I have not used Sybase in a while, but I remember its string functions are very similar to MS SQL Server.
If overall_model always contains "//", use charindex to return the position of the delimiter and substring to retrieve the "text" before it. Then combine it with a COUNT. (If the "//" is not always present, you will need to add a CASE statement as well).
SELECT SUBSTRING(overall_model, 1, CHARINDEX('/', overall_model)-1) AS Model
, COUNT(*) AS NumberOfRecords
FROM YourTable
GROUP BY SUBSTRING(overall_model, 1, CHARINDEX('/', overall_model)-1)
However, ideally the "text" and "date" should be stored separately. That would offer greater flexibility and generally better performance.