I have a query like this:
INSERT INTO my_table
VALUES (SPECIAL_ID, 62, 0, 1, -1, NULL, NULL, -1)
WHERE sp_id IN (SELECT id = SPECIAL_ID
FROM foo
WHERE lock IS NULL)
SPECIAL_ID is not yet defined, but it should be equal to the id that comes from the inner SELECT statement from foo.
Just dont use values, use a select
INSERT INTO my_table (need To declare list of column names for table insert)
Select SPECIAL_ID, 62, 0, 1, -1, NULL, NULL, -1
From Table
WHERE sp_id IN(
SELECT id = SPECIAL_ID
FROM foo
WHERE lock IS NULL
)
If there is no table for the sp_id to be in, you could get rid of that where caluse and move the sub select up like this:
INSERT INTO my_table (need To declare list of column names for table insert)
Select SPECIAL_ID, 62, 0, 1, -1, NULL, NULL, -1
FROM foo
WHERE lock IS NULL
SELECT SPECIAL_ID, 62, 0, 1, -1, NULL, NULL, -1
INTO my_table
FROM your_source_table
WHERE sp_id in (SELECT id = SPECIAL_ID
FROM foo
WHERE lock IS NULL)
Listing column names is not necessary unless their ordinal position is different or you are only applying this to certain columns, not all of them
Related
hello I would like to find a solution to solve my problem in a single request if possible.
For the moment I take all the records then I go through the lines one by one to eliminate what I don't want.
I have 2 tables : first table with links
the second with the prefered label for the url
the second table must be consulted keeping only the row with maximum priority
priority rules are
the current user then
the user group and finally
everyone.
if the hidden column is true, exclude any reference to the url
here is the expected result.
Unfortunately, I don't see any other solution than to multiply the conditions on several selects and unions.
if you have a idea to solve my problem, thank you in advance for your help
It appears as though you can rely on pref_id for the preference ordering, correct? If so, you could try:
SELECT *
FROM table2
INNER JOIN table1 ON table2.url_id = table1.url_id
QUALIFY ROW_NUMBER() OVER (
PARTITION BY table1.url
ORDER BY pref_id ASC
) = 1
This will partition by the url and then provide only the one with lowest pref_id.
I didn't test this SQL as I wasn't sure which RDBMS you're running on, but I used Rasgo to translate the SQL.
maybe of interest in this tricky query:
select so.*, table1.url from
(select distinct t.url_id,
(select pref_id from table2 s where s.url_id = t.url_id order by "user" is null, "group" is null limit 1) pref_id
from table2 t
where not exists(select 1 from table2 s where s.hide and s.url_id = t.url_id)
) ids
join table2 so on so.pref_id = ids.pref_id
join table1 ON table1.url_id = ids.url_id
order by so.url_id;
here is my solution but i think there is better to do.
in the condition's select, I built a column which gives a level note according to the priorities
DECLARE #CUR_USER VARCHAR(10) = 'ROBERT'
DECLARE #CUR_GROUP VARCHAR(10) = 'DEV'
DECLARE #TABLE1 TABLE (
URL_ID INT
,URLNAME VARCHAR(100)
);
DECLARE #TABLE2 TABLE (
PREF_ID INT
,URL_ID INT
,FAVORITE_LABEL VARCHAR(100)
,USER_GROUP VARCHAR(10)
,USER_CODE VARCHAR(10)
,HIDE_URL DECIMAL(1, 0) DEFAULT 0
);
INSERT INTO #TABLE1
VALUES
(1, 'https://stackoverflow.com/')
,(2, 'https://www.microsoft.com/')
,(3, 'https://www.apple.com/')
,(4, 'https://www.wikipedia.org/')
;
INSERT INTO #TABLE2
VALUES
(1000, 1, 'find everything', NULL, 'ROBERT', 0)
,(1001, 1, 'a question ? find the answer here', 'DEV', NULL, 0)
,(1002, 1, 'StackOverFlow', NULL, NULL, 0)
,(1003, 2, 'Windows', 'DEV', NULL, 0)
,(1004, 2, 'Microsoft', NULL, NULL, 0)
,(1005, 3, 'Apple', NULL, NULL, 0)
,(1006, 4, 'Free encyclopedia', NULL, 'ROBERT', 1)
,(1007, 4, 'Wikipedia', NULL, NULL, 0)
,(1008, 1, 'StackOverFlow FOR MAT', 'MAT', NULL, 0)
,(1009, 2, 'Microsoft FOR MAT', 'MAT', NULL, 0)
,(1010, 3, 'Apple', 'MAT', NULL, 1)
,(1011, 4, 'Wikipedia FOR MAT', 'MAT', NULL, 0)
,(1012, 1, 'StackOverFlow', NULL, 'JEAN', 1)
,(1013, 2, 'Microsoft ', NULL, 'JEAN', 0)
,(1014, 3, 'Apple', NULL, 'JEAN', 0)
,(1015, 4, 'great encyclopedia', NULL, 'JEAN', 0)
;
SELECT t2.* ,t1.URLName
FROM #TABLE1 t1
INNER JOIN #TABLE2 t2 ON t1.URL_ID = t2.URL_ID
WHERE EXISTS (
SELECT 1
FROM (
SELECT TOP (1) test.PREF_ID
,CASE
-- if I do not comment this case: jean from the MAT group will not see apple
-- WHEN Hide_Url = 1
-- THEN 3
WHEN USER_code IS NOT NULL
THEN 2
WHEN USER_GROUP IS NOT NULL
THEN 1
ELSE 0
END AS ROW_LEVEL
FROM #TABLE2 test
WHERE (
(
test.USER_GROUP IS NULL
AND test.user_group IS NULL
AND test.USER_code IS NULL
)
OR (test.USER_GROUP = #CUR_GROUP)
OR (test.USER_code = #CUR_USER)
)
AND t2.URL_ID = test.URL_ID
ORDER BY ROW_LEVEL DESC
) test
WHERE test.PREF_ID = t2.PREF_ID
AND Hide_Url = 0
)
Simply use an ORDER BY clause that puts the preferred row first. You can use this in the window function ROW_NUMBER and work with this or use a lateral top(1) join with CROSS APPLY.
select *
from urls
cross apply
(
select top(1) *
from labels
where labels.url_id = urls.url_id
where [Group] is not null or [user] is not null or hide is not null
order by
case when [Group] is null then 2 else 1 end,
case when [user] is null then 2 else 1 end,
case when hide is null then 2 else 1 end
) top_labels
order by urls.url_id;
In T-SQL I'm attempting to update a stock user field with the number of weeks we expect it to be delivered to us by taking the difference between today and the purchase order due in dates. However the select query can return more than one line of purchase orders if there is more than one purchase order containing that product (obviously). I would like to take the smallest number it returns / minimum value but obviously cannot do this within the update query. Can anyone recommend a workaround? Thanks.
UPDATE [Exchequer].[ASAP01].[STOCK]
SET stUserField7 = DATEDIFF(day,CONVERT(VARCHAR(8), GETDATE(), 112),min(tlLineDate)) / 7 + 1
FROM [Exchequer].[ASAP01].[STOCK]
JOIN [Exchequer].[ASAP01].[CUSTSUPP]
ON stSupplier = acCode
JOIN [Exchequer].[ASAP01].[DETAILS]
ON stCode = tlStockCodeTrans1
WHERE stSupplier <> '' AND stQtyOnOrder > '0' AND stQtyOnOrder > stQtyAllocated
AND tlOurRef like 'POR%' AND (floor(tlQtyDel) + floor(tlQtyWOFF)) < floor(tlQty)
AND tlLineDate >= CONVERT(VARCHAR(8),GETDATE(), 112)
Why are you casting date to varchar for the difference?
This is not date but how you can use a window function in an update
declare #maps table(name varchar(10), isUsed bit, code varchar(10));
insert into #Maps values
('NY', 1, 'NY1')
, ('NY', 0, 'NY2')
, ('FL', 0, 'FL1')
, ('TX', 0, 'TX1')
declare #Results table (id int identity primary key, Name varchar(20), Value int, Code varchar(20), cnt int)
insert into #results values
('FL', 12, 'FL1', null)
, ('TX', 54, 'TX1', null)
, ('TX', 56, 'TX1', null)
, ('CA', 50, 'CA1', null)
, ('NJ', 40, 'NJ1', null)
select * from #results
order by name, Value desc
update r
set r.cnt = tt.cnt
from #results r
join ( select id, max(value) over (partition by name) as cnt
from #Results
) tt
on r.id = tt.id
select * from #results
order by name, value desc
Build a SELECT query with columns for the following:
The primary key of the [Exchequer].[ASAP01].[STOCK] table
The new desired stUserField7
Given the MIN(tlLineDate) expression in the original question, if this SELECT query does not have either a GROUP BY clause or change to use an APPLY instead of a JOIN, you've probably done something wrong.
Once you have that query, use it in an UPDATE statement like this:
UPDATE s
SET s.stUserField7 = t.NewValueFromSelectQuery
FROM [Exchequer].[ASAP01].[STOCK] s
INNER JOIN (
--- your new SELECT query here
) t ON t.<primary key field(s)> = s.<primary key field(s)>
How to count all the columns in a table that have a null value?
The table having a large number of columns and the method should iterate over the columns in a dynamic manner.
In any given row (selected by an identifier), count the null cells.
Select count(number of null value cells) where id=1 from table
e.g:
I have a table consisting of 200 columns I want to know how many null
cells does the row with id=1 have
Basically, you need to check every column in a selected row if it's null or not.
Since you have 200+ columns in your table, manual approach seems tedious, so you can automate it a little bit and construct the query dynamically by querying user_tab_columns:
-- set up
create table t1(
rid number primary key,
c1 varchar2(17),
c2 date,
c3 timestamp,
c4 number
);
insert into t1
valueS(1, 'string', null, systimestamp, null);
commit ;
-- going to use DECODE function - doesnt require type consistency.
select 'decode('||column_name||', null, 1, 0)+' as res
from user_tab_columns
where table_name = 'T1'
Result:
RES
------------------------------
decode(RID, null, 1, 0)+
decode(C1, null, 1, 0)+
decode(C2, null, 1, 0)+
decode(C3, null, 1, 0)+
decode(C4, null, 1, 0)+
And final query:
select decode(C4, null, 1, 0)+
decode(C3, null, 1, 0)+
decode(C2, null, 1, 0)+
decode(C1, null, 1, 0)+
decode(RID, null, 1, 0) as num_of_nulls
from t1
where rid = 1
Result:
NUM_OF_NULLS
--------------
2
Try this. You can pass any ID and get the number of columns with NULL value.
CREATE TABLE TEST (ID NUMBER, B VARCHAR2(20), C NUMBER, D VARCHAR2(200));
INSERT INTO TEST VALUES (1,NULL,NULL,'XX');
SELECT COUNT(NULL_COLS)
FROM (
SELECT
to_number(extractvalue(xmltype(dbms_xmlgen.getxml('SELECT CASE WHEN '||COLUMN_NAME||' IS NULL THEN 0 ELSE NULL END COL_VAL FROM '||TABLE_NAME||' WHERE ID=&VALUE')),'/ROWSET/ROW/COL_VAL')) NULL_COLS
FROM USER_TAB_COLUMNS
WHERE TABLE_NAME='TEST');
I have a case where I need to create a unique weight value based on how much data is contained with a distinct row in a dataset. Each column is assigned a bit value indicating its significance. For instance Col1 = 1, Col2 = 2 would signify that Col2 carries more weight than Col1. Data in both Col1 and Col2 (Col1 | Col2) = 3 would be more significant than a row with data in either column.
Columns at a later time can be reclassified by significance. Therefore I am looking for a solution which would be more versatile than hard coding the bitwise operation into the SQL query (see Option 1).
I have devised Option 2 as a way to overcome the reclassification requirement but I am not sure if this is the best way to write the query. My production dataset will range from 4M-25M records.
Can any provide another example, or improve this example, of how to write this query (Option 2) to improve performance and the ability for a user to change the column's significance?
Test Code Below:
Environment: SQL Server 2014
--EXAMPLE SETUP
IF OBJECT_ID('tempdb..#DataImage') IS NOT NULL
BEGIN
DROP TABLE #DataImage
DROP TABLE #Source
END
CREATE TABLE #DataImage (ID INT PRIMARY KEY CLUSTERED IDENTITY(1,1), ColumnOne BIT, ColumnTwo BIT, Flag INT)
CREATE TABLE #Source (ID INT PRIMARY KEY CLUSTERED IDENTITY(1,1), DataOne NVARCHAR(50), DataTwo INT)
--END SETUP
--CREATE ROW COMBINATION FLAGS (Real Flag Size = 10 combinations)
INSERT INTO #DataImage (ColumnOne, ColumnTwo, Flag) SELECT 1, 0, 1
INSERT INTO #DataImage (ColumnOne, ColumnTwo, Flag) SELECT 0, 1, 2
INSERT INTO #DataImage (ColumnOne, ColumnTwo, Flag) SELECT 1, 1, 3
--CREATE TEST DATA (Real Data Size = 10M records)
INSERT INTO #Source (DataOne, DataTwo) SELECT NULL, 2
INSERT INTO #Source (DataOne, DataTwo) SELECT N'Foo', NULL
INSERT INTO #Source (DataOne, DataTwo) SELECT N'Bar', 100
--QUERY SETUPS--
--OPTION 1: CALCULATE THE FLAG FOR EVERY ROW
SELECT SourceId = s.ID, Flag = IIF(s.DataOne IS NULL, 0, 1) + IIF(s.DataTwo IS NULL, 0, 2)
FROM #Source s
--OPTION 2: RETURN FLAG FOR SOURCE DATA
;WITH t0 (SourceId, Flag, C1, C2) AS (
SELECT s.ID, i.Flag, IIF(s.DataOne IS NULL, 0, 1), IIF(s.DataTwo IS NULL, 0, 1)
FROM #Source s CROSS JOIN #DataImage i
INTERSECT
SELECT s.ID, i.Flag, ColumnOne, ColumnTwo
FROM #Source s CROSS JOIN #DataImage i
)
SELECT t0.SourceId, t0.Flag
FROM t0
Considering the following table:
CREATE TABLE `foo`(
`aaa` VARCHAR(45) NOT NULL,
`bbb` VARCHAR(45) NOT NULL,
`ccc` INT NOT NULL,
`ddd` INT NOT NULL,
PRIMARY KEY(`aaa`, `bbb`, `ccc`)
);
the following data:
INSERT INTO `foo` (`aaa`, `bbb`, `ccc`, `ddd`)
VALUES
('qwe', 'rty', 0, 123),
('asd', 'fgh', 0, 456),
('asd', 'fgh', 1, 678);
the following result is to be gotten:
'qwe', 'rty', 0, 123
'asd', 'fgh', 1, 678
The objective is to get
Only one record for each (aaa, bbb) keypair
Favour records with ccc = 1 if there are more than 1 record for a (aaa, bbb) keypair in the table
So I think I need to concatenate result sets of 2 queries:
SELECT * FROM `foo` WHERE `ccc` = 1
and
SELECT * FROM `foo` WHERE `ccc` = 0
discarding a second query result row when there is already a same (aaa, bbb) keypair row in the first query result.
How to code it in SQLite?
Try this one,
SELECT a.*
FROM foo a
INNER JOIN
(
SELECT aaa, bbb, MAX(ccc) maxC
FROM foo
GROUP BY aaa, bbb
) b ON a.aaa = b.aaa AND
a.ccc = b.maxC AND
a.bbb = b.bbb
SQLFiddle Demo