SQL Replace used during a compare - sql

I currently run this query:
UPDATE table1
SET column1 = table2.columnA
FROM table2
WHERE column2 = table2.columnA
AND column3 = table2.columnC
Yes there is a duplicate column, sorry.
When I cross reference column2 with table2.columnA there is a chance to get NULL because column2 DOES NOT contain / where as table2.columnA may contain /
I don't want to change the data in table2.columnA
It is my understanding that I can run this query to REPLACE the characters.
SELECT REPLACE ([table2.columnA],'/','-')
FROM table2
It is necessary that this does not make a permanent change to table2 so I want to make sure that I am getting this right or to see if there is a better way.
Now I want to combine the two queries but am unsure how.
UPDATE table1
SET column1 = table2.columnA
FROM table2
WHERE column2 = (SELECT REPLACE([table2.columnA],'/','-')table2.columnA)
FROM table2
AND column3 = table2.columnC
Thanks for the help!

Something like
UPDATE table1
SET column1 = table2.columnA
FROM table1
inner join table2
on table1.column2 = REPLACE([table2.columnA],'/','-')
and table1.column3 = table2.columnC

Related

with clause and update in one query [duplicate]

Looking for some help with BigQuery.
I can't seem to use CTEs in UPDATE statements, i.e:
with ctename as
(select
column1,
column2,
column3,
from blah)
update table2
set table2.column2 = ctename.column2
from table2
inner join ctename
on ctename.column1 = table2.column1
I can't find any reason as to why this shouldn't work in BigQuery. Any help/advice would be greatly appreciated.
Looks like below is equivalent of what you are trying to achieve, while technically preserving your cte's query (that obviously can be much much more complex than just select * from the blah)
update table2
set column2 = ctename.column2
from (
select column1, column2, column3
from blah
) ctename
where ctename.column1 = table2.column1
Note: as it is implicitly comes from your question and from other answer(s) - it is expected that that there is 1:1 matches by column1 - otherwise you will get error
I don't think BigQuery supports CTEs in updates. You can write this logic as:
update table2
set table2.column2 = (select blah.column2 from blah where blah.column1 = table2.column1)
where exists (select blah.column2 from blah where blah.column1 = table2.column1);
You can try with SELECT query and JOIN in CTE as follows:
with cte as
(select
blah.column1,
blah.column2,
blah.column3,
table2.column2 as t2col2
from blah
inner join table2
on blah.column1 = table2.column1)
update cte
set t2col2= column2;

sql oracle using update

I need to take data from one table to add to another table.
I got two SQL's:
SQL1:
select * from table1;
SQL2:
select * from table2 where coloumn1 = table1.coloumn6 (number)
table1 looks like:
For better understanding we call each coloumn coloumn1, coloumn2, ... coloumn9
table2 looks like:
For better understanding we call each coloumn coloumn1, coloumn2, ... coloumn13
What should happen in text
My SQL has to take the value from table1.coloumn6 (number) - checking if this value is given in table2.coloumn1
select * from table2 where coloumn1 = table1.coloumn6 (SQL2)
If yes it should update the data from table1.coloumn2 (varchar2) to table2.coloumn4 (varchar2).
If I understand correctly, you want to update table1.column2 to the corresponding value in table2.column1 based on other conditions. Based on your description:
update table1
column2 = (select column4 from table2 t2 where t2.column1 = table1.column6)
where exists (select 1 from table2 t2 where t2.column1 = table1.column6);
MERGE is good for updating/inserting tables based on other tables. Something like this should work (would be a bit more clear with distinctly-named columns). It also accepts an optional 'WHEN NOT MATCHED THEN' clause which lets you insert new records.
MERGE INTO table2
USING (SELECT column2, column6 FROM table1) table1
ON (table2.column1 = table1.column6)
WHEN MATCHED THEN
update set column4 = column2;

SQLite. "UPDATE table1 SET column1 = (SELECT column2 FROM table2);" is not working

Why this construction is not working in SQLite:
UPDATE table1 SET column1 = (SELECT column2 FROM table2);
where column1 and column2 has the same number of rows and the same type.
Use the common column to look up the matching record:
UPDATE table1
SET column1 = (SELECT column2
FROM table2
WHERE table2.Name = table1.Name)
It is not going to work because the table1.column1 only wants one value. What you are actually doing is setting table1.column1 = all the results from table2.column2.
You will probably have to join the two tables together on a common column or key
Because nested select returns more than one row probably. You try to put all the data from table2 into 1 element in table1
Is Column1 just getting the same value all the way down the column? Otherwise, you need to do a JOIN in the update here and Set Column1 = Column2 based on the join.
You are not linking the two tables
so it is trying to put all column2 values into each table1 row.
Link the two together with a field such as
Update table1 set column1 = column2
from table2 where table1.ColumnA = tables2.ColumnA
The reason why your statement isn't working is because you're telling it to put all of the values for column2 into every column1 cell in table1. You want something more like:
UPDATE
table1
SET
table1.column1 = table2.column2
FROM
table1
INNER JOIN
table2
ON
table1.id = table2.table1_id

sql update multiple columns with multiple conditions

I want to update 5 columns from another table. 2 of the column will be up dated from a condition the other 3 will also be update if condition one is true and condition two is true. is there a way to do this in one statement?
update tableNew
set
column1 = t1.column1
column2 = t1.column2
column3 = t1.column3
column4 = t1.column4
column5 = t1.column5
where t1.column10 in ('value1','value2')
from tableOld t1
where t1.column8 is null
i hope you can understand what I need from this example if not I can try and give more!!

SQL Statement indentation good practice [closed]

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What is the accepted practice for indenting SQL statements? For example, consider the following SQL statement:
SELECT column1, column2
FROM table1
WHERE column3 IN
(
SELECT TOP(1) column4
FROM table2
INNER JOIN table3
ON table2.column1 = table3.column1
)
How should this be indented? Many thanks.
SELECT column1
, column2
FROM table1
WHERE column3 IN
(
SELECT TOP(1) column4
FROM table2
INNER JOIN table3
ON table2.column1 = table3.column1
)
I like to have all "," in front, this way I never search them when an error at line X from the SQL editor.
This is an example for those who do not use this type of writting SQL statement. Both contain an error of a missing comma.
SELECT sdcolumn123
, dscolumn234
, sdcolumn343
, ffcolumn434
, sdcolumn543
, bvcolumn645
vccolumn754
, cccolumn834
, vvcolumn954
, cvcolumn104
FROM table1
WHERE column3 IN
(
...
)
SELECT sdcolumn123, dscolumn234, asdcolumn345, dscolumn456, ascolumn554, gfcolumn645 sdcolumn754, fdcolumn845, sdcolumn954, fdcolumn1054
FROM table1
WHERE column3 IN
(
...
)
I found easier and more quick at the first example. Hope this example show you more my point of view.
SELECT column1, column2
FROM table
WHERE column3 IN (
SELECT TOP(1) column4
FROM table2
INNER JOIN table3 ON table2.column1 = table3.column1
)
This is pretty short and easy to read. I'd make adjustments if there were more columns selected or more join conditions.
Not sure there is an accepted practice, but here's now how I'd do it:
SELECT
column1,
column2
FROM
table1
WHERE
column3 IN
(
SELECT TOP(1)
column4
FROM
table2
INNER JOIN
table3
ON table2.column1 = table3.column1
)
I like to have "rivers" of white space in the code. It makes it a little easier to scan.
SELECT column1,
column2
FROM table1
WHERE column3 IN (SELECT column4
FROM table2
JOIN table3
ON table2.column1 = table3.column1);
I like jalbert's form of lining up the keywords on their right. I'd also add that I like the ANDs and ORs on the left (some people put them on the right.) In addition, I like to line up my equals signs when possible.
SELECT column1,
column2
FROM table1, table2
WHERE table1.column1 = table2.column4
AND table1.col5 = "hi"
OR table2.myfield = 678
This is my personal method. Depending on the length of the join condition I sometimes indent it on the line below.
SELECT
column1,
column2
FROM
table1
WHERE
column3 IN (
SELECT TOP(1)
column4
FROM
table2
INNER JOIN table3 ON table2.column1 = table3.column1
)
SELECT
column1,
column2
FROM
table1
WHERE
column3 IN (
SELECT TOP(1)
column4
FROM
table2
INNER JOIN table3
ON table2.column1 = table3.column1 -- for long ones
)
I've written a code standard for our shop that is biased in the extreme towards readability/"discoverability" (the latter being primarily useful in insert-select statements):
SELECT
column1,
column2
FROM
table1
WHERE
column3 IN
(
SELECT TOP(1)
column4
FROM
table2
INNER JOIN table3 ON table2.column1 = table3.column1
)
On more complex queries it becomes more obvious how this is useful:
SELECT
Column1,
Column2,
Function1
(
Column1,
Column2
) as Function1,
CASE
WHEN Column1 = 1 THEN
a
ELSE
B
END as Case1
FROM
Table1 t1
INNER JOIN Table2 t2 ON t1.column12 = t2.column21
WHERE
(
FilterClause1
AND FilterClause2
)
OR
(
FilterClause3
AND FilterClause4
)
Once you move to systems with more than a single join in most of your queries, it has been my experience that using vertical space liberally is your best friend with complex SQL.
SQL formatting is an area where there is a great deal of variance and disagreement... But fwiw, I like to focus on readability and think that whatever you do, consistently conforming to any rules that reduce readability is, as the old cliche goes, a "foolish consistency" ( "Foolish consistency is a hobgoblin for simple minds" )
So, instead of calling them rules, here are some guidelines.
For each Major clause in a SQL statement (Select, Insert, Delete, From, Where, Having, Group BY, Order By, ... I may be missing a few) should be EASILY identifiable. So I generally indent them at the highest level, all even with each other. Then within each clause, I indent the next logical sub structure evenly... and so on.. But I feel free to (and often do) change the pattern if in any individual case it would be more readable to do so... Complex Case statements are a good example. Because anything that requires horizontal scrolling reduces readability enormously, I often write complex (nested) Case expressions on multiple lines. When I do, I try to keep the beginning of such a statement hanging indent based on it's logical place in the SQL statement, and indent the rest of the statement lines a few characters furthur...
SQL Database code has been around for a long time, since before computers had lower case, so there is a historical preference for upper casing keywords, but I prefer readability over tradition... (and every tool I use color codes the key words now anyway)
I also would use Table aliases to reduce the amount of text the eye has to scan in order to grok the structure of the query, as long as the aliases do not create confusion. In a query with less than 3 or 4 tables, Single character aliases are fine, I often use first letter of the table if all ther tables start with a different letter... again, whatever most contributes to readability. Finally, if your database supports it, many of the keywords are optional, (like "Inner", "Outer", "As" for aliases, etc.) "Into" (from Insert Into) is optional on Sql Server - but not on Oracle) So be careful about using this if your code needs to be platform independant...
Your example, I would write as:
Select column1, column2
From table1 T1
Where column3 In (Select Top(1) column4
From table2 T2
Join table3 T3
On T2.column1 = T3.column1)
Or
Select column1, column2
From table1 T1
Where column3 In
(Select Top(1) column4
From table2 T2
Join table3 T3
On T2.column1 = T3.column1)
If there many more columns on the select clause, I would indent the second and subsequent lines... I generally do NOT adhere to any strict (one column per row) kind of rule as scrolling veritcally is almost as bad for readability as scrolling horizontally is, especially if only the first ten columns of the screen have any text in them)
Select column1, column2, Col3, Col4, column5,
column6, Column7, isNull(Column8, 'FedEx') Shipper,
Case Upper(Column9)
When 'EAST' Then 'JFK'
When 'SOUTH' Then 'ATL'
When 'WEST' Then 'LAX'
When 'NORTH' Then 'CHI' End HubPoint
From table1 T1
Where column3 In
(Select Top(1) column4
From table2 T2
Join table3 T3
On T2.column1 = T3.column1)
Format the code in whatever manner makes it the most readable...
If you have a lengthy SQL statement that you'd like to reformat without all the typing and tabbing, you can slap it into this website and get a nicely formatted result. You can experiment with various formats to see which makes your text the most readable.
Edit: I believe that this is the 2014 location of the SQL formatter.
Here's my poke at this:
select column1, column2
from table1
where (column3 in (
select top(1) column4
from table2
inner join table3
on (table2.column1 = table3.column1)
))
;
Everything lowercase because it's easier to read lowercase characters (and we have code highlighting to emphasize keywords) also easier to type
Every restriction or option on a keyword (like the from on the select or the on on the join) is indented to show their dependance on the outward keyword
The closing bracket is at the same indenting level as the opening where
Use brackets for where- and on-clauses to increase readability
Have the semicolon closing the select-statement at the same indenting so multiple statements can be distinguished better (if you need a semicolon in your language like SAS PROC SQL does)
It's still quite compact and does not stretch all over the page
I like to have the different parts of my query line up vertically. I tend to use a tab size of 8 spaces for SQL which seems to work well.
SELECT column1,
column2
FROM table1
WHERE column3 IN
(
SELECT TOP(1) column4
FROM table2
INNER JOIN table3
ON table2.column1 = table3.column1
)
Example indenting a very very very complex SQL:
SELECT
produtos_cesta.cod_produtos_cesta,
produtos.nome_pequeno,
tab_contagem.cont,
produtos_cesta.sku,
produtos_kits.sku_r AS sku_kit,
sku_final = CASE
WHEN produtos_kits.sku_r IS NOT NULL THEN produtos_kits.sku_r
ELSE produtos_cesta.sku
END,
estoque = CASE
WHEN produtos2.estoque IS NOT NULL THEN produtos2.estoque
ELSE produtos.estoque
END,
produtos_cesta.unidades as unidades1,
unidades_x_quantidade = CASE
WHEN produtos.cod_produtos_kits_tipo = 1 THEN CAST(produtos_cesta.quantidade * (produtos_cesta.unidades / tab_contagem.cont) * produtos_kits.quantidade AS int)
ELSE CAST(produtos_cesta.quantidade * produtos_cesta.unidades AS int)
END,
unidades = CASE
WHEN produtos.cod_produtos_kits_tipo = 1 THEN produtos_cesta.unidades / tab_contagem.cont * produtos_kits.quantidade
ELSE produtos_cesta.unidades
END,
unidades_parent = produtos_cesta.unidades,
produtos_cesta.quantidade,
produtos.controla_estoque,
produtos.status
FROM
produtos_cesta
INNER JOIN produtos
ON (produtos_cesta.sku = produtos.sku)
INNER JOIN produtos_pacotes
ON (produtos_cesta.sku = produtos_pacotes.sku)
INNER JOIN (
SELECT
produtos_cesta.cod_produtos_cesta,
cont = SUM(
CASE
WHEN produtos_kits.quantidade IS NOT NULL THEN produtos_kits.quantidade
ELSE 1
END
)
FROM
produtos_cesta
LEFT JOIN produtos_kits
ON (produtos_cesta.sku = produtos_kits.sku)
LEFT JOIN produtos
ON (produtos_cesta.sku = produtos.sku)
WHERE
shopper_id = '" + mscsShopperId + #"'
GROUP BY
produtos_cesta.cod_produtos_cesta,
produtos_cesta.sku,
produtos_cesta.unidades
)
AS tab_contagem
ON (produtos_cesta.cod_produtos_cesta = tab_contagem.cod_produtos_cesta)
LEFT JOIN produtos_kits
ON (produtos.sku = produtos_kits.sku)
LEFT JOIN produtos as produtos2
ON (produtos_kits.sku_r = produtos2.sku)
WHERE
shopper_id = '" + mscsShopperId + #"'
GROUP BY
produtos_cesta.cod_produtos_cesta,
tab_contagem.cont,
produtos_cesta.sku,
produtos_kits.sku_r,
produtos.cod_produtos_kits_tipo,
produtos2.estoque,
produtos.controla_estoque,
produtos.estoque,
produtos.status,
produtos.nome_pequeno,
produtos_cesta.unidades,
produtos_cesta.quantidade,
produtos_kits.quantidade
ORDER BY
produtos_cesta.sku,
produtos_cesta.unidades DESC
As most above have lined up the return column names, I find lining up tables names and conditions helps readability a lot.
SELECT
column1,
column2
FROM
table1
WHERE
column3 IN
(
SELECT TOP(1)
column4
FROM
table2 INNER JOIN
table3 ON table2.column1 = table3.column1
)
And for when join conditions get long.
SELECT
Column1,
Column2
FROM
Table1 JOIN
Table2 ON
Table1.Column3 = Table2.Column4 JOIN
Table3 ON
Table2.Column1 = Table3.Column1 and
Table2.ColumnX = #x and
Table3.ColumnY = #y
WHERE
Condition1=xxx and
Condition2=yyy and
(
Condition3=aaa or
Condition4=bbb
)
Of course, this comes down to personal preference. And if in a team setting, it's something that should be agreed upon among the members for consistency's sake. But this would be my preference:
SELECT column1, column2
FROM table1
WHERE column3 IN(SELECT TOP(1) column4
FROM table2
INNER JOIN table3 ON
table2.column1 = table3.column1
)
I would format like this:
SELECT
column1,
column2
FROM
table1
WHERE
column3 IN (SELECT TOP(1)
column4
FROM
table2
INNER JOIN table3 ON table2.column1 = table3.column1)
or like this:
SELECT
column1,
column2
FROM
table1
WHERE
column3 IN (SELECT TOP(1) column4
FROM table2
INNER JOIN table3 ON table2.column1 = table3.column1)
Well, of course it depends on the query.
For simple queries, a highly formal indentation scheme is just more trouble than it's worth and can actually make the code less readable, not more. But as complexity grows you need to start being more careful with how you structure the statement, to make sure it will be readable again later.
I've just put it through my SQL prettifier and it came out like this....
SELECT column1, column2
FROM table1
WHERE column3 IN
(
SELECT TOP(1) column4
FROM table2
INNER JOIN table3
ON table2.column1 = table3.column1
)
http://extras.sqlservercentral.com/prettifier/prettifier.aspx
.....But I haven't worked out a way of getting colours into StackOverflow.
Yeah, this is pretty subjective...But here's my 2 cents:
SELECT
Column1,
Column2
FROM Table1
WHERE
Column3 IN (
SELECT Column4
FROM Table2
JOIN Table3 ON
Table2.Column1 = Table3.Column1
)
But, really, I'd probably rewrite it without the IN:
SELECT
Column1,
Column2
FROM Table1
JOIN Table2 ON
Table1.Column3 = Table2.Column4
JOIN Table3 ON
Table2.Column1 = Table3.Column1
Basically, my rules are:
Capitalize Keywords
Columns go on individual lines, but SELECT modifiers (SELECT TOP 100, SELECT DISTINCT, etc.) or single columns (SELECT 1, SELECT Id, SELECT *, etc.) go on same line
Join conditions indented underneath JOIN clause
Use JOIN for INNER JOIN (since it's the common one), and fully specify others (LEFT OUTER JOIN, FULL OUTER JOIN, etc.)
Open parens on same line, close paren on separate line. If you have an alias, the alias goes with close paren.
This is my normal preference:
SELECT column1
,column2
FROM table1
WHERE column3 IN (
SELECT TOP(1) column4
FROM table2
INNER JOIN table3
ON table2.column1 = table3.column1
)
I don't know if there's a standard but I like to do it this way;
SELECT column1, column2
FROM table1
WHERE column3 IN
(
SELECT TOP(1) column4
FROM table2
INNER JOIN table3
ON table2.column1 = table3.column1
)
because I can read and analyze the SQL better.
SELECT
Column1,
Column2
FROM
Table1
WHERE
Column3 IN
(
SELECT TOP (1)
Column4
FROM
Table2
INNER JOIN
Table3
ON
Table2.Column1 = Table3.Column1
)
What I usually do is,
print("SELECT column1, column2
FROM table1
WHERE column3 IN (SELECT TOP(1) column4
FROM table2 INNER JOIN
table3 ON table2.column1 = table3.column1)");
This is a matter of taste.
This is my preference.
SELECT
column1
,column2
FROM
table1
WHERE column3 IN (
SELECT TOP(1) column4
FROM
table2
INNER JOIN table3
ON table2.column1 = table3.column1
)
That's how we would do it here:
select
COLUMN1,
COLUMN2,
case when COLUMN5 = 'X'
and
COLUMN6 = 'Y'
then 'one'
when COLUMN5 in (
'AAA',
'BBB'
)
then 'two'
else 'three'
end as COLUMN7
from
TABLE1
where
COLUMN2 in (
select top(1)
COLUMN4
from
TABLE2
inner join
TABLE3
on
TABLE2.COLUMN1 = TABLE3.COLUMN1
and
TABLE2.COLUMN2
between
TABLE3.COLUMN2
and
TABLE3.COLUMN3
)
Our idea is: keep sql keywords in lower case and put all changing (and therefore "more interesting") things like table or column names in upper case.
The code might look a bit "blown up" here, but it increases readability if you have complex queries with longer names (incl. schema etc.) much longer than in this example.
And: indent all objects according to their "level".