How do i select all rows from a table where a specific column value equals something?
i have tried the following:
select from tablname where columnvalue = value
thanks
you could do:
q)table:([]a:1 2 3 4 5;b:`a`b`c`d`e;c:`hi`bye`bye`bye`hi)
q)table
a b c
-------
1 a hi
2 b bye
3 c bye
4 d bye
5 e hi
q)select from table where c=`bye
a b c
-------
2 b bye
3 c bye
4 d bye
You could do:
q)tbl:([] a:1 2 3;b:4 5 6;c:7 8 9)
q)tbl
a b c
-----
1 4 7
2 5 8
3 6 9
q)select a from tbl
a
-
1
2
3
Related
Input:
Name GroupId Processed NewGroupId NgId
Mike 1 N 9 NULL
Mikes 1 N 9 NULL
Miken 5 Y 9 5
Mikel 5 Y 9 5
Output:
Name GroupId Processed NewGroupId NgId
Mike 1 N 9 5
Mikes 1 N 9 5
Miken 5 Y 9 5
Mikel 5 Y 9 5
below query worked in sql server, due to correlated subquery same is not working in spark sql.
Is there any alternate either with spark sql or pyspark dataframe.
SELECT Name,groupid,IsProcessed,ngid,
CASE WHEN ngid IS NULL THEN
COALESCE((SELECT top 1 ngid FROM temp D
WHERE D.NewGroupId = T.NewGroupId AND
D.ngid IS NOT NULL ), null)
ELSE ngid
END AS ngid
FROM temp T
worked with below in sparksql.
spark.sql("select LKUP,groupid,IsProcessed,NewGroupId ,coalesce((select Max(D.ngid) from test2 D where D.NewGroupId = T.NewGroupId AND D.ngidis not null),null) as ngid from test2 T")
I have a table that looks like this:
id
values
1
a
2
b
3
c
4
d
5
e
6
f
and I need to generate group_id column to be able to collect rows in a batch using
select collect_list(values) from table group by group_id
For example, for batchSize = 2
id
values
group_id
1
a
1
2
b
1
3
c
2
4
d
2
5
e
3
6
f
3
to get it out:
group_id
collect_list(values)
1
[a, b]
2
[c, d]
3
[e, f]
or, for batchSize = 3
id
values
group_id
1
a
1
2
b
1
3
c
1
4
d
2
5
e
2
6
f
2
out
group_id
collect_list(values)
1
[a, b, c]
2
[d, e, f]
How do I generate this column group_id so I can collect the values and group by group_id?
You could use row_number and DIV to generate group_id
To expand my answer, we use the Integer division properties to get group id
Row_number will give consecutive Numbers from 1 to N
But we need the numbers to start with 0, so we subtract 1 of the row number
rownumber Div (3)
0 0
1 0
2 0
3 1
4 1
5 1
6 2
This can be proven to be true for all integers to infinity
As group_id must start with 1(not necessary actually) we need to add anither 1 to the result
After with the resulting Group-id you can collect_list(values) tpo get your arrays
SELECT
id, `values`,
((ROW_NUMBER() OVER (ORDEr By id) -1) DIV 3) + 1 group_id
FROM tab1
id
values
group_id
1
a
1
2
b
1
3
c
1
4
d
2
5
e
2
6
f
2
7
g
3
8
h
3
9
i
3
SELECT
id, `values`,
((ROW_NUMBER() OVER (ORDEr By id) -1) DIV 2) + 1 group_id
FROM tab1
id
values
group_id
1
a
1
2
b
1
3
c
2
4
d
2
5
e
3
6
f
3
7
g
4
8
h
4
9
i
5
From my understanding what you're trying to do is chunking your selection.
Then this should do the trick: https://stackoverflow.com/a/29975781/21188126
I have been given a T-SQL task: to convert/format names which are in ALL CAPS into Title Case. I have decided that splitting the names into tokens, and capitalizing the first letter out of each token, would be a reasonable approach (I am willing to take advice if there's a better option, especially in T-SQL).
That said, to accomplish this, I'd have to split the name fields on spaces AND dashes, hyphens, etc. Then, once it is tokenized, I can worry about normalizing the case.
Is there any reasonable way to split a string along any delimiter in a list?
If ease & performance is important then grab a copy of PatExtract8k.
Here's a basic example where I split on any character that is not a letter or number ([^a-z0-9]):
-- Sample String
DECLARE #string VARCHAR(8000) = 'abc.123&xyz!4445556__5566^rrr';
-- Basic Use
SELECT pe.* FROM samd.patExtract8K(#string,'[^a-z0-9]') AS pe;
Output:
itemNumber itemIndex itemLength item
--------------- ----------- ----------- -------------
1 1 3 abc
2 5 3 123
3 9 3 xyz
4 13 7 4445556
5 22 4 5566
6 27 3 rrr
It returns what you need as well as:
the length of the item (ItemLength)
It's position in the string (ItemIndex)
It's ordinal position in the string (ItemNumber.)
Now against a table. Here we're doing the same thing but I'll explicitly call out the characters I want to use as a delimiter. Here it's any of these characters: *.&,?%/>
-- Sample Table
DECLARE #table TABLE (SomeId INT IDENTITY, SomeString VARCHAR(100));
INSERT #table VALUES('abc***332211,,XXX'),('abc.123&&555%jjj'),('ll/111>ff?12345');
SELECT t.*, pe.*
FROM #table AS t
CROSS APPLY samd.patExtract8K(t.SomeString,'[*.&,?%/>]') AS pe;
This returns:
SomeId SomeString itemNumber itemIndex itemLength item
----------- ------------------- ------------ ---------- ----------- ---------
1 abc***332211,,XXX 1 1 3 abc
1 abc***332211,,XXX 2 7 6 332211
1 abc***332211,,XXX 3 15 3 XXX
2 abc.123&&555%jjj 1 1 3 abc
2 abc.123&&555%jjj 2 5 3 123
2 abc.123&&555%jjj 3 10 3 555
2 abc.123&&555%jjj 4 14 3 jjj
3 ll/111>ff?12345 1 1 2 ll
3 ll/111>ff?12345 2 4 3 111
3 ll/111>ff?12345 3 8 2 ff
3 ll/111>ff?12345 4 11 5 12345
On the other hand - If I wanted to extract the delimiters I could change the pattern like this: [^*.&,?%/>]. Now the same query returns:
SomeId itemNumber itemIndex itemLength item
----------- -------------------- -------------------- ----------- ---------
1 1 4 3 ***
1 2 13 2 ,,
2 1 4 1 .
2 2 8 2 &&
2 3 13 1 %
3 1 3 1 /
3 2 7 1 >
3 3 10 1 ?
Example Data
Sql fiddle http://sqlfiddle.com/#!15/c8a17/4
My Query
select
unnest(array[g,g1,g2]) as disp,
unnest(array[g,g||'-'||g1,g||'-'||g1||'-'||g2]) as grp,
unnest(array[1,2,3]) as ord,
unnest(array['assesvalue','lst2','salesvalue','itemprofit','profitper','itemstockvalue'])as analysis,
unnest(array[value1,tt,sv,tp,per,tsv])as val
from (
select
g,
g1,
g2,
sum(value1) as value1,
sum(tt) as tt,
sum(sv) as sv,
sum(tp) as tp,
sum(per) as per,
sum(tsv) as tsv
from table1
group by g,g1,g2
) as ta
It Show the output like this
disp grp ord analysis val
A A 1 assesvalue 100
B A-B 2 lst2 30
C A-B-C 3 salesvalue 20
A A 1 itemprofit 5
B A-B 2 profitper 1
C A-B-C 3 itemstockvalue 10
Expected Result :
disp grp ord analysis val
A A 1 assesvalue 100
A A 1 lst2 30
A A 1 salesvalue 20
A A 1 itemprofit 5
A A 1 profitper 1
A A 1 itemstockvalue 10
B A-B 2 assesvalue 100
B A-B 2 lst2 30
B A-B 2 salesvalue 20
B A-B 2 itemprofit 5
B A-B 2 profitper 1
B A-B 2 itemstockvalue 10
C A-B-C 3 assesvalue 100
C A-B-C 3 lst2 30
C A-B-C 3 salesvalue 20
C A-B-C 3 itemprofit 5
C A-B-C 3 profitper 1
C A-B-C 3 itemstockvalue 10
In Query i am using multiple unnest.
first 3 unnest inside have 3 columns other have 6 columns that its show wrong output but if last 2 unnest have less then 6 its show my expected result.
what am doing wrong in query??
i am using postgresql 9.3
I have 2 tables :
1. transfer
2. data
in table data 2 records :
id name
1. 2 PQR
2. 3 XYZ
in table transfer 5 records :
id to from amount type
1. 1 2 3 100.00 C
2. 2 3 2 200.00 C
3. 3 2 3 150.00 D
4. 4 3 2 150.00 C
5. 5 2 3 300.00 D
now I want to form query that will take 2 in where condition and give me result
from transfer table that when 2 is in to column then from data should be shown
and when 2 is in from column then to data should be print.
And in result I want other columns that are amount and type.
I want data using join (Any), I am totally confused that how to perform this task.
Expected Result :
from/to amount type
3 100.00 C
3 200.00 C
3 150.00 D
3 300.00 D
Any Guidance on this..
Try Like this
select
case when "from"=2 then "to" when "to"=2 then "from" end "from/to"
,amount,type from transfer
Out put is
form/to amount type
3 100 C
3 200 C
3 150 D
3 150 C
3 100 D
OR
select case when "from"=2 then d.name when "to"=2 then data.name end "from/to",
amount,type from transfer inner join data on ("to"=data.id)
inner join data as d on("from"=d.id)
Out put is
form/to amount type
XYZ 100 C
XYZ 200 C
XYZ 150 D
XYZ 150 C
XYZ 100 D
ADDITION:
prove of working query: http://ideone.com/64kIov