Aggregate two columns and rows into one - sql

I have the following table structure
start|end
09:00|11:00
13:00|14:00
I know
SELECT ARRAY_AGG(start), ARRAY_AGG(end)
Will result in
start|end
[09:00,13:00]|[11:00,14:00]
But how can i get the following result?
result
[09:00,11:00,13:00,14:00]
BTW, I'm using Postgres

You could do array concatenation (if order is not important):
SELECT ARRAY_AGG(start) || ARRAY_AGG(end) FROM TABLE1
If order is important you could use Gordon's approach but:
add aggregate order array_agg(d order by d ASC)
use unnest instead of union all, because Gordon's solution (union all) performs two sequence scan. If table is big it could be better for performance to use:
SELECT array_agg(d ORDER BY d ASC) FROM(
SELECT unnest(ARRAY[start] || ARRAY[end]) as d from table1
) sub
which performs only one sequence scan on table (and will be faster).

One method is to unpivot them and then aggregate:
select array_agg(d)
from (select start as d from t
union all
select end as d from t
) t;
A similar method uses a cross join:
select array_agg(case when n.n = 1 then t.start else t.end end)
from t cross join
(select 1 as n union all select 2) n;

I assume the start and end are character type
select ARRAY_AGG(col)
from(select string_agg(strt::text||','||en::text,',') col
from b
)t

Related

sql: first row after the last row with a property

I would like to write a query that returns the first row immediately after the last row with a given property (ordered by id). Id's may not be consecutive.
Ideally it would look something like this:
...
JOIN (select max(id) id from my_table where CONDITION) m
JOIN (select min(id) from my_table where id > m.id) n
However, I can not use identifier m in the second subselect.
It is possible to use nested queries in nested queries, but is there an easier way?
Thank you.
You could use lead() to get the next id before applying the condition:
select t.*
from my_table t join
(select max(next_id) as max_next_id
from (select t.*, lead(id) over (order by id) as next_id
from my_table t
) t
where <condition>
) tt
on t.id = tt.max_next_id;
You could also do:
select t.*
from my_table t
where t.id > (select max(t2.id) from my_table t2 where <condition>)
order by t2.id asc
fetch first 1 row only;
I am not sure how this is getting woven into the rest of your query, so I have used a CTE
WITH max_next AS (
SELECT r.id as max_id
,r.next_id
FROM (
SELECT m.id
,m.next_id
,ROW_NUMBER() OVER (ORDER BY m.id DESC) AS rn
FROM (
SELECT n.* -- to provide data to satisfy CONDITIONS
,LEAD(n.id) OVER(ORDER BY n.id) as next_id
FROM my_table AS n
) AS m
WHERE CONDITIONS
) AS r
WHERE r.rn = 1
)
I would also shrink the n.* to the columns needed by CONDITIONS to a, not be implicit as the * slows the compile time down (or historically has) as all meta data needs to be read to understand what columns is in the ANY, and the while the compile can also prune not used columns, it's faster if you just ask for what you want (in best case just a compile time savings, worse case, it read all the data when you only need x number of columns read)
And borrowing from Gordon solution, the ROW_NUMBER part could be simpler
WITH max_next AS (
SELECT m.id
,m.next_id
--, plus what ever other things you want from m
FROM (
SELECT n.* -- to satisfy CONDITIONS needs
,LEAD(n.id) OVER(ORDER BY n.id) as next_id
FROM my_table AS n
) AS m
WHERE CONDITIONS
ORDER BY m.id DESC LIMIT 1
)
So for an example for #PIG,
WITH my_table AS (
SELECT column1 AS id
,column2 AS con1
,column3 AS other
FROM VALUES (1,'a',123),(2,'b',234),(3,'a',345),(5,'b',456),(7,'a',567),(10,'c',678)
)
SELECT m.id
,m.next_id
,m.other
FROM (
SELECT n.* -- to satisfy CONDITIONS needs
,LEAD(n.id) OVER(ORDER BY n.id) as next_id
FROM my_table AS n
) AS m
WHERE m.con1 = 'b'
ORDER BY m.id DESC LIMIT 1;
gives 5, 7, 456 which is the last 'b' and the new row, and an extra value on my_table for entertainment purposes (and run on Snowflake to, which means I fixed the prior SQL also.)
This should work, it's pretty straightforward (easy), and it's good that you know records may not be stored in a ordered/consecutive fashion.
SELECT *
FROM my_table
WHERE id = (
SELECT min(id)
FROM my_table
WHERE id > (
SELECT max(id)
FROM my_table
WHERE CONDITION));

Selecting random value for every row

Suppose I have 2 tables called 'FOR_TEST_1' with column A, B, C and 'FOR_TEST_2' with column D, E, F.
I would like to generate column A paired with a random value from column D.
Here is a snippet of the tables.
So far, this is the statement that I have been doing and it return the same value of D for every row in A.
Currently I am using toad for oracle, but I tried using the same logic in MySQL and it works fine.
You're expecting Oracle to execute the subquery once per row (which is what MySQL does). However, it seems you have run into a side-effect of an Oracle optimization. There's no correlation between the main query and the scalar subquery so Oracle decides to un-nest the subquery, execute it once and join the result to the main query.
To get the results you want you have a couple of options. One is to turn off the unnesting with the NO_UNNEST hint.
select t1.a
, ( select d from ( select /*+ NO_UNNEST */ d from for_test_two
order by dbms_random.value ) where rownum = 1) d
from for_test_one t1
/
Alternatively you could rewrite you query to use an inline view rather than a scalar subquery.
select t1.a
, t2.d
from ( select a, rownum as rn
from for_test_one) t1
join ( select d, rownum as rn
from ( select d from for_test_two
order by dbms_random.value() ) ) t2
on t1.rn = t2.rn
order by t1.rn
/
Warning: The NO_UNNEST solution doesn't work on SQL Fiddle demo (find it here). Not sure why, the syntax looks correct. So try it on your environment, or just use the second approach, which definitely works.
Try this:
SELECT A, (SELECT D (
SELECT D, ROWNUM ROWPTR FROM FOR_TEST_2)
WHERE ROWPTR = (SELECT ROUND(DBMS_RANDOM.VALUE(1, (SELECT COUNT(D) FROM FOR_TEST_2) + 1 )) from DUAL)) D
FROM FOR_TEST_1

How to join two tables with the same number of rows in SQLite?

I have almost the same problem as described in this question. I have two tables with the same number of rows, and I would like to join them together one by one.
The tables are ordered, and I would like to keep this order after the join, if it is possible.
There is a rowid based solution for MSSql, but in SQLite rowid can not be used if the table is coming from a WITH statement (or RECURSIVE WITH).
It is guaranteed that the two tables have the exact same number of rows, but this number is not known beforehand. It is also important to note, that the same element may occur more than twice. The results are ordered, but none of the columns are unique.
Example code:
WITH
table_a (n) AS (
SELECT 2
UNION ALL
SELECT 4
UNION ALL
SELECT 5
),
table_b (s) AS (
SELECT 'valuex'
UNION ALL
SELECT 'valuey'
UNION ALL
SELECT 'valuez'
)
SELECT table_a.n, table_b.s
FROM table_a
LEFT JOIN table_b ON ( table_a.rowid = table_b.rowid )
The result I would like to achieve is:
(2, 'valuex'),
(4, 'valuey'),
(5, 'valuez')
SQLFiddle: http://sqlfiddle.com/#!5/9eecb7/6888
This is quite complicated in SQLite -- because you are allowing duplicates. But you can do it. Here is the idea:
Summarize the table by the values.
For each value, get the count and offset from the beginning of the values.
Then use a join to associate the values and figure out the overlap.
Finally use a recursive CTE to extract the values that you want.
The following code assumes that n and s are ordered -- as you specify in your question. However, it would work (with small modifications) if another column specified the ordering.
You will notice that I have included duplicates in the sample data:
WITH table_a (n) AS (
SELECT 2 UNION ALL
SELECT 4 UNION ALL
SELECT 4 UNION ALL
SELECT 4 UNION ALL
SELECT 5
),
table_b (s) AS (
SELECT 'valuex' UNION ALL
SELECT 'valuey' UNION ALL
SELECT 'valuey' UNION ALL
SELECT 'valuez' UNION ALL
SELECT 'valuez'
),
a as (
select a.n, count(*) as a_cnt,
(select count(*) from table_a a2 where a2.n < a.n) as a_offset
from table_a a
group by a.n
),
b as (
select b.s, count(*) as b_cnt,
(select count(*) from table_b b2 where b2.s < b.s) as b_offset
from table_b b
group by b.s
),
ab as (
select a.*, b.*,
max(a.a_offset, b.b_offset) as offset,
min(a.a_offset + a.a_cnt, b.b_offset + b.b_cnt) - max(a.a_offset, b.b_offset) as cnt
from a join
b
on a.a_offset + a.a_cnt - 1 >= b.b_offset and
a.a_offset <= b.b_offset + b.b_cnt - 1
),
cte as (
select n, s, offset, cnt, 1 as ind
from ab
union all
select n, s, offset, cnt, ind + 1
from cte
where ind < cnt
)
select n, s
from cte
order by n, s;
Here is a DB Fiddle showing the results.
I should note that this would be much simpler in almost any other database, using window functions (or perhaps variables in MySQL).
Since the tables are ordered, you can add row_id values by comparing n values.
But still the best way in order to get better performance would be inserting the ID values while creating the tables.
http://sqlfiddle.com/#!5/9eecb7/7014
WITH
table_a_a (n, id) AS
(
WITH table_a (n) AS
(
SELECT 2
UNION ALL
SELECT 4
UNION ALL
SELECT 5
)
SELECT table_a.n, (select count(1) from table_a b where b.n <= table_a.n) id
FROM table_a
) ,
table_b_b (n, id) AS
(
WITH table_a (n) AS
(
SELECT 'valuex'
UNION ALL
SELECT 'valuey'
UNION ALL
SELECT 'valuez'
)
SELECT table_a.n, (select count(1) from table_a b where b.n <= table_a.n) id
FROM table_a
)
select table_a_a.n,table_b_b.n from table_a_a,table_b_b where table_a_a.ID = table_b_b.ID
or convert the input set to comma separated list and try like this:
http://sqlfiddle.com/#!5/9eecb7/7337
WITH RECURSIVE table_b( id,element, remainder ) AS (
SELECT 0,NULL AS element, 'valuex,valuey,valuz,valuz' AS remainder
UNION ALL
SELECT id+1,
CASE
WHEN INSTR( remainder, ',' )>0 THEN
SUBSTR( remainder, 0, INSTR( remainder, ',' ) )
ELSE
remainder
END AS element,
CASE
WHEN INSTR( remainder, ',' )>0 THEN
SUBSTR( remainder, INSTR( remainder, ',' )+1 )
ELSE
NULL
END AS remainder
FROM table_b
WHERE remainder IS NOT NULL
),
table_a( id,element, remainder ) AS (
SELECT 0,NULL AS element, '2,4,5,7' AS remainder
UNION ALL
SELECT id+1,
CASE
WHEN INSTR( remainder, ',' )>0 THEN
SUBSTR( remainder, 0, INSTR( remainder, ',' ) )
ELSE
remainder
END AS element,
CASE
WHEN INSTR( remainder, ',' )>0 THEN
SUBSTR( remainder, INSTR( remainder, ',' )+1 )
ELSE
NULL
END AS remainder
FROM table_a
WHERE remainder IS NOT NULL
)
SELECT table_b.element, table_a.element FROM table_b, table_a WHERE table_a.element IS NOT NULL and table_a.id = table_b.id;
SQL
SELECT a1.n, b1.s
FROM table_a a1
LEFT JOIN table_b b1
ON (SELECT COUNT(*) FROM table_a a2 WHERE a2.n <= a1.n) =
(SELECT COUNT(*) FROM table_b b2 WHERE b2.s <= b1.s)
Explanation
The query simply counts the number of rows up until the current one for each table (based on the ordering column) and joins on this value.
Demo
See SQL Fiddle demo.
Assumptions
A single column in used for the ordering in each table. (But the query could easily be modified to allow multiple ordering columns).
The ordering values in each table are unique.
The values in the ordering column aren't necessarily the same between the two tables.
It is known that table_a contains either the same or more rows than table_b. (If this isn't the case then a FULL OUTER JOIN would need to be emulated since SQLite doesn't provide one.)
No further changes to the table structure are allowed. (If they are, it would be more efficient to have pre-populated columns for the ordering).
Either way...
Use something like
WITH
v_table_a (n, rowid) AS (
SELECT 2, 1
UNION ALL
SELECT 4, 2
UNION ALL
SELECT 5, 3
),
v_table_b (s, rowid) AS (
SELECT 'valuex', 1
UNION ALL
SELECT 'valuey', 2
UNION ALL
SELECT 'valuez', 3
)
SELECT v_table_a.n, v_table_b.s
FROM v_table_a
LEFT JOIN v_table_b ON ( v_table_a.rowid = v_table_b.rowid );
for "virtual" tables (with WITH or without),
WITH RECURSIVE vr_table_a (n, rowid) AS (
VALUES (2, 1)
UNION ALL
SELECT n + 2, rowid + 1 FROM vr_table_a WHERE rowid < 3
)
, vr_table_b (s, rowid) AS (
VALUES ('I', 1)
UNION ALL
SELECT s || 'I', rowid + 1 FROM vr_table_b WHERE rowid < 3
)
SELECT vr_table_a.n, vr_table_b.s
FROM vr_table_a
LEFT JOIN vr_table_b ON ( vr_table_a.rowid = vr_table_b.rowid );
for "virtual" tables using recursive WITHs (in this example the values are others then yours, but I guess you get the point) and
CREATE TABLE p_table_a (n INT);
INSERT INTO p_table_a VALUES (2), (4), (5);
CREATE TABLE p_table_b (s VARCHAR(6));
INSERT INTO p_table_b VALUES ('valuex'), ('valuey'), ('valuez');
SELECT p_table_a.n, p_table_b.s
FROM p_table_a
LEFT JOIN p_table_b ON ( p_table_a.rowid = p_table_b.rowid );
for physical tables.
I'd be careful with the last one though. A quick test shows, that the numbers of rowid are a) reused -- when some rows are deleted and others are inserted, the inserted rows get the rowids from the old rows (i.e. rowid in SQLite isn't unique past the lifetime of a row, whereas e.g. Oracle's rowid AFAIR is) -- and b) corresponds to the order of insertion. But I don't know and didn't find a clue in the documentation, if that's guaranteed or is subject to change in other/future implementations. Or maybe it's just a mere coincidence in my test environment.
(In general physical order of rows may be subject to change (even within the same database using the same DMBS as a result of some reorganization) and is therefore no good choice to rely on. And it's not guaranteed, a query will return the result ordered by physical position in the table as well (it might use the order of some index instead or have a partial result ordered some other way influencing the output's order). Consider designing your tables using common (sort) keys in corresponding rows for ordering and to join on.)
You can create temp tables to carry CTE data row. then JOIN them by sqlite row_id column.
CREATE TEMP TABLE temp_a(n integer);
CREATE TEMP TABLE temp_b(n VARCHAR(255));
WITH table_a(n) AS (
SELECT 2 n
UNION ALL
SELECT 4
UNION ALL
SELECT 5
UNION ALL
SELECT 5
)
INSERT INTO temp_a (n) SELECT n FROM table_a;
WITH table_b (n) AS
(
SELECT 'valuex'
UNION ALL
SELECT 'valuey'
UNION ALL
SELECT 'valuez'
UNION ALL
SELECT 'valuew'
)
INSERT INTO temp_b (n) SELECT n FROM table_b;
SELECT *
FROM temp_a a
INNER JOIN temp_b b on a.rowid = b.rowid;
sqlfiddle:http://sqlfiddle.com/#!5/9eecb7/7252
It is possible to use the rowid inside a with statement but you need to select it and make it available to the query using it.
Something like this:
with tablea AS (
select id, rowid AS rid from someids),
tableb AS (
select details, rowid AS rid from somedetails)
select tablea.id, tableb.details
from
tablea
left join tableb on tablea.rid = tableb.rid;
It is however as they have already warned you a really bad idea. What if the app breaks after inserting in one table but before the other one? What if you delete an old row? If you want to join two tables you need to specify the field to do so. There are so many things that could go wrong with this design. The most similar thing to this would be an incremental id field that you would save in the table and use in your application. Even simpler, make those into one table.
Read this link for more information about the rowid: https://www.sqlite.org/lang_createtable.html#rowid
sqlfiddle: http://sqlfiddle.com/#!7/29fd8/1
It is possible to use the rowid inside a with statement but you need to select it and make it available to the query using it. Something like this:
with tablea AS (select id, rowid AS rid from someids),
tableb AS (select details, rowid AS rid from somedetails)
select tablea.id, tableb.details
from
tablea
left join tableb on tablea.rid = tableb.rid;
The problem statement indicates:
The tables are ordered
If this means that the ordering is defined by the ordering of the values in the UNION ALL statements, and if SQLite respects that ordering, then the following solution may be of interest because, apart from small tweaks to the last three lines of the sample program, it adds just two lines:
A(rid,n) AS (SELECT ROW_NUMBER() OVER ( ORDER BY 1 ) rid, n FROM table_a),
B(rid,s) AS (SELECT ROW_NUMBER() OVER ( ORDER BY 1 ) rid, s FROM table_b)
That is, table A is table_a augmented with a rowid, and similarly for table B.
Unfortunately, there is a caveat, though it might just be the result of my not having found the relevant specifications. Before delving into that, however, here is the full proposed solution:
WITH
table_a (n) AS (
SELECT 2
UNION ALL
SELECT 4
UNION ALL
SELECT 5
),
table_b (s) AS (
SELECT 'valuex'
UNION ALL
SELECT 'valuey'
UNION ALL
SELECT 'valuez'
),
A(rid,n) AS (SELECT ROW_NUMBER() OVER ( ORDER BY 1 ) rid, n FROM table_a),
B(rid,s) AS (SELECT ROW_NUMBER() OVER ( ORDER BY 1 ) rid, s FROM table_b)
SELECT A.n, B.s
FROM A LEFT JOIN B
ON ( A.rid = B.rid );
Caveat
The proposed solution has been tested against a variety of data sets using sqlite version 3.29.0, but whether or not it is, and will continue to be, "guaranteed" to work is unclear to me.
Of course, if SQLite offers no guarantees with respect to the ordering of the UNION ALL statements (that is, if the question is based on an incorrect assumption), then it would be interesting to see a well-founded reformulation.

How to select all columns for rows where I check if just 1 or 2 columns contain duplicate values

I'm having difficulty with what I figure should be an easy problem. I want to select all the columns in a table for which one particular column has duplicate values.
I've been trying to use aggregate functions, but that's constraining me as I want to just match on one column and display all values. Using aggregates seems to require that I 'group by' all columns I'm going to want to display.
If I understood you correctly, this should do:
SELECT *
FROM YourTable A
WHERE EXISTS(SELECT 1
FROM YourTable
WHERE Col1 = A.Col1
GROUP BY Col1
HAVING COUNT(*) > 1)
You can join on a derived table where you aggregate and determine "col" values which are duplicated:
SELECT a.*
FROM Table1 a
INNER JOIN
(
SELECT col
FROM Table1
GROUP BY col
HAVING COUNT(1) > 1
) b ON a.col = b.col
This query gives you a chance to ORDER BY cola in ascending or descending order and change Cola output.
Here's a Demo on SqlFiddle.
with cl
as
(
select *, ROW_NUMBER() OVER(partition by colb order by cola ) as rn
from tbl)
select *
from cl
where rn > 1

Wrap-around in SQL results ordering

If I have a table with items beginning with C, D, and J, is it in any way possible to arrange a query that orders these ascending, but starts with D, and ends with C wrapped around?
E.g. raw table = C,C,C,D,D,J
Desired result order = D,D,J,C,C,C
In ordinary SQL this is, not any functional language? I can't see how the desired order can be achieved without hard-coding, i.e. selecting each individual record in the desired order all union'd together.
You could introduce a custom sort key with a CASE statement.
Select Col1, Col2, Col3,
case left(Col3,1) when 'D' then 1
when 'J' then 2
when 'C' then 3
else 4
end as SortKey
from YourTable
order by SortKey, Col3
That does not seem like a regular order, so you won't be able to do it in a simple way. But you can do this:
(SELECT * FROM yourtable WHERE ID >=C ORDER BY ID) UNION (SELECT SELECT * FROM yourtable WHERE ID <C ORDER BY ID)
You can implement custom sort orders without hardcoding by using a table:
CREATE TABLE SortRules (
Prefix char(1) NOT NULL
,SortOrder int NOT NULL
)
Then join to the SortRules table:
SELECT *
FROM YourTable
LEFT JOIN SortRules
ON YourTable.YourColumn LIKE SortRules.Prefix + '%'
ORDER BY SortRules.SortOrder, YourTable.YourColumn
You can make SortOrder UNIQUE (although that's not required). You can also decide if you want missing ones (unmatched in the join) to be at the top or bottom:
SELECT *
FROM YourTable
LEFT JOIN SortRules
ON YourTable.YourColumn LIKE SortRules.Prefix + '%'
ORDER BY COALESCE(SortRules.SortOrder, 2147483647), YourTable.YourColumn
SELECT *
FROM YourTable
LEFT JOIN SortRules
ON YourTable.YourColumn LIKE SortRules.Prefix + '%'
ORDER BY COALESCE(SortRules.SortOrder, -2147483648), YourTable.YourColumn