Select all rows that have column value larger than some value - mysql

I have a SQL table thus:
username | rank
a | 0
b | 2
c | 5
d | 4
e | 5
f | 7
g | 1
h | 12
I want to use a single select statement that returns all rows that have rank greater than the value of user e's rank.
Is this possible with a single statement?

Yes it is possible.
SELECT * FROM MyTable
WHERE rank > (SELECT Rank FROM MyTable WHERE username = 'e')
or you can also use self-join for the same
SELECT t1.* FROM MyTable t1
JOIN MyTable t2
ON t1.Rank > t2.Rank
AND t2.username = 'e';
See this SQLFiddle

You can use subquery
SELECT * FROM `table` WHERE `rank` > (
SELECT `rank` FROM `table` WHERE `username` ='b' LIMIT 1)

This is just an edit script of #UweB.. It will return the max rank even if there are multiple rows for username='e'
SELECT *
FROM tbl
WHERE
tbl.rank > (
SELECT max(rank) FROM tbl WHERE username = 'e')

SELECT *
FROM tbl
WHERE
tbl.rank > (
SELECT rank FROM tbl WHERE username = 'e'
);
Note that this will only work if the sub-select (the part in brackets) returns a single value (one row, one column so to speak) only.

Related

mysql constraints for auto-incremenenting range key with existing values [duplicate]

I'd like to find the first "gap" in a counter column in an SQL table. For example, if there are values 1,2,4 and 5 I'd like to find out 3.
I can of course get the values in order and go through it manually, but I'd like to know if there would be a way to do it in SQL.
In addition, it should be quite standard SQL, working with different DBMSes.
In MySQL and PostgreSQL:
SELECT id + 1
FROM mytable mo
WHERE NOT EXISTS
(
SELECT NULL
FROM mytable mi
WHERE mi.id = mo.id + 1
)
ORDER BY
id
LIMIT 1
In SQL Server:
SELECT TOP 1
id + 1
FROM mytable mo
WHERE NOT EXISTS
(
SELECT NULL
FROM mytable mi
WHERE mi.id = mo.id + 1
)
ORDER BY
id
In Oracle:
SELECT *
FROM (
SELECT id + 1 AS gap
FROM mytable mo
WHERE NOT EXISTS
(
SELECT NULL
FROM mytable mi
WHERE mi.id = mo.id + 1
)
ORDER BY
id
)
WHERE rownum = 1
ANSI (works everywhere, least efficient):
SELECT MIN(id) + 1
FROM mytable mo
WHERE NOT EXISTS
(
SELECT NULL
FROM mytable mi
WHERE mi.id = mo.id + 1
)
Systems supporting sliding window functions:
SELECT -- TOP 1
-- Uncomment above for SQL Server 2012+
previd
FROM (
SELECT id,
LAG(id) OVER (ORDER BY id) previd
FROM mytable
) q
WHERE previd <> id - 1
ORDER BY
id
-- LIMIT 1
-- Uncomment above for PostgreSQL
Your answers all work fine if you have a first value id = 1, otherwise this gap will not be detected. For instance if your table id values are 3,4,5, your queries will return 6.
I did something like this
SELECT MIN(ID+1) FROM (
SELECT 0 AS ID UNION ALL
SELECT
MIN(ID + 1)
FROM
TableX) AS T1
WHERE
ID+1 NOT IN (SELECT ID FROM TableX)
There isn't really an extremely standard SQL way to do this, but with some form of limiting clause you can do
SELECT `table`.`num` + 1
FROM `table`
LEFT JOIN `table` AS `alt`
ON `alt`.`num` = `table`.`num` + 1
WHERE `alt`.`num` IS NULL
LIMIT 1
(MySQL, PostgreSQL)
or
SELECT TOP 1 `num` + 1
FROM `table`
LEFT JOIN `table` AS `alt`
ON `alt`.`num` = `table`.`num` + 1
WHERE `alt`.`num` IS NULL
(SQL Server)
or
SELECT `num` + 1
FROM `table`
LEFT JOIN `table` AS `alt`
ON `alt`.`num` = `table`.`num` + 1
WHERE `alt`.`num` IS NULL
AND ROWNUM = 1
(Oracle)
The first thing that came into my head. Not sure if it's a good idea to go this way at all, but should work. Suppose the table is t and the column is c:
SELECT
t1.c + 1 AS gap
FROM t as t1
LEFT OUTER JOIN t as t2 ON (t1.c + 1 = t2.c)
WHERE t2.c IS NULL
ORDER BY gap ASC
LIMIT 1
Edit: This one may be a tick faster (and shorter!):
SELECT
min(t1.c) + 1 AS gap
FROM t as t1
LEFT OUTER JOIN t as t2 ON (t1.c + 1 = t2.c)
WHERE t2.c IS NULL
This works in SQL Server - can't test it in other systems but it seems standard...
SELECT MIN(t1.ID)+1 FROM mytable t1 WHERE NOT EXISTS (SELECT ID FROM mytable WHERE ID = (t1.ID + 1))
You could also add a starting point to the where clause...
SELECT MIN(t1.ID)+1 FROM mytable t1 WHERE NOT EXISTS (SELECT ID FROM mytable WHERE ID = (t1.ID + 1)) AND ID > 2000
So if you had 2000, 2001, 2002, and 2005 where 2003 and 2004 didn't exist, it would return 2003.
The following solution:
provides test data;
an inner query that produces other gaps; and
it works in SQL Server 2012.
Numbers the ordered rows sequentially in the "with" clause and then reuses the result twice with an inner join on the row number, but offset by 1 so as to compare the row before with the row after, looking for IDs with a gap greater than 1. More than asked for but more widely applicable.
create table #ID ( id integer );
insert into #ID values (1),(2), (4),(5),(6),(7),(8), (12),(13),(14),(15);
with Source as (
select
row_number()over ( order by A.id ) as seq
,A.id as id
from #ID as A WITH(NOLOCK)
)
Select top 1 gap_start from (
Select
(J.id+1) as gap_start
,(K.id-1) as gap_end
from Source as J
inner join Source as K
on (J.seq+1) = K.seq
where (J.id - (K.id-1)) <> 0
) as G
The inner query produces:
gap_start gap_end
3 3
9 11
The outer query produces:
gap_start
3
Inner join to a view or sequence that has a all possible values.
No table? Make a table. I always keep a dummy table around just for this.
create table artificial_range(
id int not null primary key auto_increment,
name varchar( 20 ) null ) ;
-- or whatever your database requires for an auto increment column
insert into artificial_range( name ) values ( null )
-- create one row.
insert into artificial_range( name ) select name from artificial_range;
-- you now have two rows
insert into artificial_range( name ) select name from artificial_range;
-- you now have four rows
insert into artificial_range( name ) select name from artificial_range;
-- you now have eight rows
--etc.
insert into artificial_range( name ) select name from artificial_range;
-- you now have 1024 rows, with ids 1-1024
Then,
select a.id from artificial_range a
where not exists ( select * from your_table b
where b.counter = a.id) ;
This one accounts for everything mentioned so far. It includes 0 as a starting point, which it will default to if no values exist as well. I also added the appropriate locations for the other parts of a multi-value key. This has only been tested on SQL Server.
select
MIN(ID)
from (
select
0 ID
union all
select
[YourIdColumn]+1
from
[YourTable]
where
--Filter the rest of your key--
) foo
left join
[YourTable]
on [YourIdColumn]=ID
and --Filter the rest of your key--
where
[YourIdColumn] is null
For PostgreSQL
An example that makes use of recursive query.
This might be useful if you want to find a gap in a specific range
(it will work even if the table is empty, whereas the other examples will not)
WITH
RECURSIVE a(id) AS (VALUES (1) UNION ALL SELECT id + 1 FROM a WHERE id < 100), -- range 1..100
b AS (SELECT id FROM my_table) -- your table ID list
SELECT a.id -- find numbers from the range that do not exist in main table
FROM a
LEFT JOIN b ON b.id = a.id
WHERE b.id IS NULL
-- LIMIT 1 -- uncomment if only the first value is needed
My guess:
SELECT MIN(p1.field) + 1 as gap
FROM table1 AS p1
INNER JOIN table1 as p3 ON (p1.field = p3.field + 2)
LEFT OUTER JOIN table1 AS p2 ON (p1.field = p2.field + 1)
WHERE p2.field is null;
I wrote up a quick way of doing it. Not sure this is the most efficient, but gets the job done. Note that it does not tell you the gap, but tells you the id before and after the gap (keep in mind the gap could be multiple values, so for example 1,2,4,7,11 etc)
I'm using sqlite as an example
If this is your table structure
create table sequential(id int not null, name varchar(10) null);
and these are your rows
id|name
1|one
2|two
4|four
5|five
9|nine
The query is
select a.* from sequential a left join sequential b on a.id = b.id + 1 where b.id is null and a.id <> (select min(id) from sequential)
union
select a.* from sequential a left join sequential b on a.id = b.id - 1 where b.id is null and a.id <> (select max(id) from sequential);
https://gist.github.com/wkimeria/7787ffe84d1c54216f1b320996b17b7e
Here is an alternative to show the range of all possible gap values in portable and more compact way :
Assume your table schema looks like this :
> SELECT id FROM your_table;
+-----+
| id |
+-----+
| 90 |
| 103 |
| 104 |
| 118 |
| 119 |
| 120 |
| 121 |
| 161 |
| 162 |
| 163 |
| 185 |
+-----+
To fetch the ranges of all possible gap values, you have the following query :
The subquery lists pairs of ids, each of which has the lowerbound column being smaller than upperbound column, then use GROUP BY and MIN(m2.id) to reduce number of useless records.
The outer query further removes the records where lowerbound is exactly upperbound - 1
My query doesn't (explicitly) output the 2 records (YOUR_MIN_ID_VALUE, 89) and (186, YOUR_MAX_ID_VALUE) at both ends, that implicitly means any number in both of the ranges hasn't been used in your_table so far.
> SELECT m3.lowerbound + 1, m3.upperbound - 1 FROM
(
SELECT m1.id as lowerbound, MIN(m2.id) as upperbound FROM
your_table m1 INNER JOIN your_table
AS m2 ON m1.id < m2.id GROUP BY m1.id
)
m3 WHERE m3.lowerbound < m3.upperbound - 1;
+-------------------+-------------------+
| m3.lowerbound + 1 | m3.upperbound - 1 |
+-------------------+-------------------+
| 91 | 102 |
| 105 | 117 |
| 122 | 160 |
| 164 | 184 |
+-------------------+-------------------+
select min([ColumnName]) from [TableName]
where [ColumnName]-1 not in (select [ColumnName] from [TableName])
and [ColumnName] <> (select min([ColumnName]) from [TableName])
Here is standard a SQL solution that runs on all database servers with no change:
select min(counter + 1) FIRST_GAP
from my_table a
where not exists (select 'x' from my_table b where b.counter = a.counter + 1)
and a.counter <> (select max(c.counter) from my_table c);
See in action for;
PL/SQL via Oracle's livesql,
MySQL via sqlfiddle,
PostgreSQL via sqlfiddle
MS Sql via sqlfiddle
It works for empty tables or with negatives values as well. Just tested in SQL Server 2012
select min(n) from (
select case when lead(i,1,0) over(order by i)>i+1 then i+1 else null end n from MyTable) w
If You use Firebird 3 this is most elegant and simple:
select RowID
from (
select `ID_Column`, Row_Number() over(order by `ID_Column`) as RowID
from `Your_Table`
order by `ID_Column`)
where `ID_Column` <> RowID
rows 1
-- PUT THE TABLE NAME AND COLUMN NAME BELOW
-- IN MY EXAMPLE, THE TABLE NAME IS = SHOW_GAPS AND COLUMN NAME IS = ID
-- PUT THESE TWO VALUES AND EXECUTE THE QUERY
DECLARE #TABLE_NAME VARCHAR(100) = 'SHOW_GAPS'
DECLARE #COLUMN_NAME VARCHAR(100) = 'ID'
DECLARE #SQL VARCHAR(MAX)
SET #SQL =
'SELECT TOP 1
'+#COLUMN_NAME+' + 1
FROM '+#TABLE_NAME+' mo
WHERE NOT EXISTS
(
SELECT NULL
FROM '+#TABLE_NAME+' mi
WHERE mi.'+#COLUMN_NAME+' = mo.'+#COLUMN_NAME+' + 1
)
ORDER BY
'+#COLUMN_NAME
-- SELECT #SQL
DECLARE #MISSING_ID TABLE (ID INT)
INSERT INTO #MISSING_ID
EXEC (#SQL)
--select * from #MISSING_ID
declare #var_for_cursor int
DECLARE #LOW INT
DECLARE #HIGH INT
DECLARE #FINAL_RANGE TABLE (LOWER_MISSING_RANGE INT, HIGHER_MISSING_RANGE INT)
DECLARE IdentityGapCursor CURSOR FOR
select * from #MISSING_ID
ORDER BY 1;
open IdentityGapCursor
fetch next from IdentityGapCursor
into #var_for_cursor
WHILE ##FETCH_STATUS = 0
BEGIN
SET #SQL = '
DECLARE #LOW INT
SELECT #LOW = MAX('+#COLUMN_NAME+') + 1 FROM '+#TABLE_NAME
+' WHERE '+#COLUMN_NAME+' < ' + cast( #var_for_cursor as VARCHAR(MAX))
SET #SQL = #sql + '
DECLARE #HIGH INT
SELECT #HIGH = MIN('+#COLUMN_NAME+') - 1 FROM '+#TABLE_NAME
+' WHERE '+#COLUMN_NAME+' > ' + cast( #var_for_cursor as VARCHAR(MAX))
SET #SQL = #sql + 'SELECT #LOW,#HIGH'
INSERT INTO #FINAL_RANGE
EXEC( #SQL)
fetch next from IdentityGapCursor
into #var_for_cursor
END
CLOSE IdentityGapCursor;
DEALLOCATE IdentityGapCursor;
SELECT ROW_NUMBER() OVER(ORDER BY LOWER_MISSING_RANGE) AS 'Gap Number',* FROM #FINAL_RANGE
Found most of approaches run very, very slow in mysql. Here is my solution for mysql < 8.0. Tested on 1M records with a gap near the end ~ 1sec to finish. Not sure if it fits other SQL flavours.
SELECT cardNumber - 1
FROM
(SELECT #row_number := 0) as t,
(
SELECT (#row_number:=#row_number+1), cardNumber, cardNumber-#row_number AS diff
FROM cards
ORDER BY cardNumber
) as x
WHERE diff >= 1
LIMIT 0,1
I assume that sequence starts from `1`.
If your counter is starting from 1 and you want to generate first number of sequence (1) when empty, here is the corrected piece of code from first answer valid for Oracle:
SELECT
NVL(MIN(id + 1),1) AS gap
FROM
mytable mo
WHERE 1=1
AND NOT EXISTS
(
SELECT NULL
FROM mytable mi
WHERE mi.id = mo.id + 1
)
AND EXISTS
(
SELECT NULL
FROM mytable mi
WHERE mi.id = 1
)
DECLARE #Table AS TABLE(
[Value] int
)
INSERT INTO #Table ([Value])
VALUES
(1),(2),(4),(5),(6),(10),(20),(21),(22),(50),(51),(52),(53),(54),(55)
--Gaps
--Start End Size
--3 3 1
--7 9 3
--11 19 9
--23 49 27
SELECT [startTable].[Value]+1 [Start]
,[EndTable].[Value]-1 [End]
,([EndTable].[Value]-1) - ([startTable].[Value]) Size
FROM
(
SELECT [Value]
,ROW_NUMBER() OVER(PARTITION BY 1 ORDER BY [Value]) Record
FROM #Table
)AS startTable
JOIN
(
SELECT [Value]
,ROW_NUMBER() OVER(PARTITION BY 1 ORDER BY [Value]) Record
FROM #Table
)AS EndTable
ON [EndTable].Record = [startTable].Record+1
WHERE [startTable].[Value]+1 <>[EndTable].[Value]
If the numbers in the column are positive integers (starting from 1) then here is how to solve it easily. (assuming ID is your column name)
SELECT TEMP.ID
FROM (SELECT ROW_NUMBER() OVER () AS NUM FROM 'TABLE-NAME') AS TEMP
WHERE ID NOT IN (SELECT ID FROM 'TABLE-NAME')
ORDER BY 1 ASC LIMIT 1
SELECT ID+1 FROM table WHERE ID+1 NOT IN (SELECT ID FROM table) ORDER BY 1;

How to select column based on the MAX value when doing GROUP BY on different value in MySQL

I have a MySQL table tbl below:
now I run the following query:
SELECT DAY_NUMBER, WEEK_NUMBER, MAX(total_volume)
FROM `tbl`
GROUP BY WEEK_NUMBER
I get the following output:
Everything looks good except for the DAY_NUMBER. The DAY_NUMBER does not reflect the TOTAL_VOLUME from which I query the MAX(TOTAL_VOLUME). If you look at WEEK_NUMBER 31, the MAX(TOTAL_VOLUME) 777 has DAY_NUMBER 7 but the query has 5.
My goal is to have DAY_NUMBER reflect MAX(TOTAL_VOLUME) value DAY_NUMBER.
could you please tell me how do I fix it?
With NOT EXISTS:
SELECT t.*
FROM tbl t
WHERE NOT EXISTS (
SELECT 1 FROM tbl
WHERE WEEK_NUMBER = t.WEEK_NUMBER AND total_volume > t.total_volume
)
Use like this,
SELECT DAY_NUMBER, WEEK_NUMBER, total_volume
FROM `tbl` WHERE total_volume IN(SELECT MAX(total_volume)
FROM `tbl`
GROUP BY WEEK_NUMBER)
You will get Desired output
Do not use GROUP BY for a query where you should be filtering.
I recommend a correlated subquery:
select t.*
from tbl t
where t.total_volume = (select max(t2.total_volume)
from tbl t2
where t2.week_number = t.week_number
);
Alternatively, you can use window functions in MySQL 8+:
select t.*
from (select t.*,
row_number() over (partition by week_number order by volume desc) as seqnum
from tbl t
) t
where seqnum = 1;
With join
drop table if exists t;
create table t
(day_number int, week_number int, value int);
insert into t values
(1,1,10),(2,1,20),
(10,2,20),(11,2,10);
select t.day_number,t.week_number,t.value
from t
join
(select week_number,max(value) m
from t
group by week_number
) w on w.week_number = t.week_number and w.m = t.value;
+------------+-------------+-------+
| day_number | week_number | value |
+------------+-------------+-------+
| 2 | 1 | 20 |
| 10 | 2 | 20 |
+------------+-------------+-------+
2 rows in set (0.00 sec)
In the event of a draw you will get all days which match the max value.

MySQL: How to find sequence of values in column

I have long list of rows with random values:
| id | value |
|----|-------|
| 1 | abcd |
| 2 | qwer |
| 3 | jklm |
| 4 | yxcv |
| 5 | tzui |
Then I have an array of few values:
array('qwer', 'jklm');
And I need to know, if this sequence of values from array already exists in table in given order. In this case the sequence of values exists.
I tried to concat all values from table and array and match two strings, which works great with few rows but there are actually hundred of thousand of rows in table. I believe there should be a better solution.
If your list is short, you could just do a self-join and spell out the conditions for each joined table reference:
select t1.id from MyTable as t1 join MyTable as t2
where t1.value='qwer' and t2.value='jklm' and t1.id=t2.id-1;
This returns an empty set if there's no such sequence. And of course it assumes that the id numbers are consecutive (they are in your example, but in general that's a risky assumption).
This doesn't work well if your list gets really long. There's a hard limit of 63 table references MySQL supports in a single query.
Here's another solution, which works for any size list, but only if your id values are known to be consecutive:
select t1.id from MyTable as t1 join MyTable as t2
on t2.id between t1.id and t1.id+1
where t1.value = 'qwer' and t2.value in ('qwer','jklm')
group by t1.id
having group_concat(t2.value order by t2.id) = 'qwer,jklm';
The t1 row is the beginning of the potential matching sequence of rows, so it must match the first value in your list.
Then join to the t2 rows, which are the complete set of potentially matching rows.
The set of t2 rows is also limited to a set no more than N rows, based on the size of your list of N values you're searching for. But SQL has no way of making a group based on the number of rows, we can only limit based on some value in the row. So that's why this works if your id values can be assumed to be consecutive.
This way you can do it for the whole set:
select value1, value2
from
(
select *
from (
SELECT [IMEPAC] value1 , ROW_NUMBER() over(order by [MATBR]) rn1
FROM [PACM]
) a1 join
(
SELECT [IMEPAC] value2 , ROW_NUMBER() over(order by [MATBR]) rn2
FROM [PACM]
) a2 on a1.rn1 = a2.rn2 + 1
) a
group by value1, value2
having count(*) > 1
It is written for MS SQL but you can easily rewrite it to fit mysql too.
I run this against table with > 400000 rows on IMEPAC which is not part of any index and it run (first and only once) for 6 sec.
Here is Mysql version:
select value1, value2, count(*) count
from
(
select *
from (
SELECT #row_number1:= #row_number1 + 1 AS rn1, content as value1
FROM docs,(SELECT #row_number1:=0) AS t
order by id
) a1 join
(
SELECT #row_number2:= #row_number2 + 1 AS rn2, content value2
FROM docs,(SELECT #row_number2:=0) AS t
order by id
) a2 on a1.rn1 = a2.rn2 + 1
) a
group by value1, value2
having count(*) > 1;
SQL Fiddle here

Mysql - Get the difference between two sequential values

I want to get the difference between two sequential values from my table.
| id | count |
| 1 | 1 |
| 2 | 7 |
| 3 | 9 |
| 4 | 3 |
| 5 | 7 |
| 6 | 9 |
For example the difference between
id2-id1 = 6,
id3-id2 = -2,
...
How can I do it? SELECT SUM(id(x+1) - id(x)) FROM table1
You can use a subquery to find count for the preceding id.
In case there are no gaps in the ID column:
SELECT CONCAT(t.`id` ,' - ', t.`id` - 1) AS `IDs`
, t.`count` - (SELECT `count`
FROM `tbl`
WHERE `id` = t.`id` - 1) AS `Difference`
FROM `tbl` t
WHERE t.`id` > 1
SQLFiddle
In case there are gaps in the IDcolumn.
First solution, using ORDER BY <...> DESC with LIMIT 1:
SELECT CONCAT(t.id ,' - ', (SELECT `id` FROM tbl WHERE t.id > id ORDER BY id DESC LIMIT 1)) AS IDs
, t.`count` - (SELECT `count`
FROM tbl
WHERE t.id > id
ORDER BY id DESC
LIMIT 1) AS difference
FROM tbl t
WHERE t.id > 1;
SQLFiddle
Second solution, using another subquery to find count with the MAX(id) less than current id:
SELECT CONCAT(t.id ,' - ', (SELECT MAX(`id`) FROM tbl WHERE id < t.id)) AS IDs
, t.`count` - (SELECT `count`
FROM tbl
WHERE `id` = (SELECT MAX(`id`)
FROM tbl
WHERE id < t.id)
) AS difference
FROM tbl t
WHERE t.id > 1;
SQLFiddle
P.S. : First column, IDs, is just for readability, you can omit it or change completely, if it is necessary.
If you know that the ids have no gaps, then just use a join:
select t.*, (tnext.count - t.count) as diff
from table t join
table tnext
on t.id = tnext.id - 1;
If you just want the sum of the differences, then that is the same as the last value minus the first value (all the intermediate values cancel out in the summation). You can do this with limit:
select last.count - first.count
from (select t.* from table order by id limit 1) as first cross join
(select t.* from table order by id desc limit 1) as last;
Try this:
SELECT MAX(count)-MIN(count) diff WHERE id IN(1,2)
Or this way
SELECT 2*STD(count) diff WHERE id IN(1,2)
This works even if ids have distances between them:
SELECT *,
((SELECT value FROM example e2 WHERE e2.id > e1.id ORDER BY id ASC LIMIT 1) - value) as diff
FROM example e1;

SELECT * FROM Table WHERE colA and colB has at least 3 identical

I have to combine these two mySQL queries into one. I duplicated a solution and used it on a join table. I am querying a join table that has two columns (labeled "to_" and "from_"). Both 'to_' and 'from_' hold an id number for the same table. I need to combine these queries in such a way that I get results based on: [('from_' + 'to_') > 3], where 'from_' and 'to_' have the same value (i.e., they refer to the same id).
$query = "select * from nodes where nodeID in (
select to_ from joinTable group by to_ having count(*) > 3
)";
...
$query = "select * from nodes where nodeID in (
select from_ from joinTable group by from_ having count(*) > 3
)";
Acknowledgement: I'm using a query based very closely on a solution 'Mr E' helped me with earlier.
You can try (see important notice at the last paragraph regarding to_ and from_ matching requirements):
SELECT X.to_, COUNT(*)
FROM joinTable X, joinTable Y
WHERE
X.to_ = Y.from_
GROUP BY X.to_
HAVING COUNT(*) > 2
Or
SELECT X.to_, COUNT(*)
FROM joinTable X LEFT JOIN joinTable Y ON X.to_ = Y.from_
GROUP BY X.to_
HAVING COUNT(*) > 2
Using Mr E's test data:
CREATE TABLE `foo` (
`id` int(1) DEFAULT NULL,
`to_` varchar(5) DEFAULT NULL,
`from_` varchar(5) DEFAULT NULL
);
INSERT INTO `foo` VALUES (1,'A','B'),(2,'B','A'),(3,'B','C'),(4,'X','C'),(4,'X','B');
It will work, half-way, by issuing:
SELECT X.to_, Y.from_
FROM foo X LEFT JOIN foo Y ON X.to_ = Y.from_
which will then yield:
mysql> SELECT X.to_, Y.from_ /*--, COUNT(*) */
-> FROM foo X LEFT JOIN foo Y ON X.to_ = Y.from_;
+------+-------+
| to_ | from_ |
+------+-------+
| A | A |
| B | B |
| B | B |
| B | B |
| B | B |
| X | NULL |
| X | NULL |
+------+-------+
7 rows in set (0.00 sec)
and by running in full:
mysql> SELECT X.to_, COUNT(*)
-> FROM foo X LEFT JOIN foo Y ON X.to_ = Y.from_
-> GROUP BY X.to_
-> HAVING COUNT(*) > 2;
+------+----------+
| to_ | COUNT(*) |
+------+----------+
| B | 4 |
+------+----------+
Basically, join the table with itself and then generate an N:N list of matching records from both tables where to_ and from_ match (whether or not on the same row), then work with a single column and aggregate its values for the final COUNT(*).
And, most importantly, why have I lowered the number on the HAVING COUNT(*) from 3 to 2? The N:N relationship will issue N1 * N2 records (where N1 is the count of matching records on the first table and N2 on the second). So if the lower bound is three, we can only have over 3 records on these two tables by having one record in one of them and then 3 on the other (in whatever order) or 2 in one and 2 on the other (and then up from there) - otherwise there will be no matches on the to_ and from_ fields and this is something I am not sure about - whether the OP wants only records whose values appear on both fields or if having a COUNT(*) from a single side would suffice. If the latter is the case, however, I don't see any other option apart from separating the queries to deal with each column individually, as some people already have posted since that's an isolated sum we're dealing with. This will be slow if running against large tables.
SELECT * FROM(
SELECT nodeID, to_, count(*) cto_ FROM joinTable jta GROUP BY to_
OUTER JOIN
SELECT from_, count(*) cfrom_ FROM joinTable jtb GROUP BY from_
ON jta.nodeID = jtb.nodeID
) WHERE ((cto_ + cfrom) > 3) as tableA
INNER JOIN
node
ON node.nodeID = tableA.nodeID
I haven't tested to make sure this code compiles and runs but I think that's generally the right direction for the answer to what you want--
first get the count of to's from the to table
then get the count of from's from the from table
finally put the addition in the criteria for the two tables.
As long as the outer join is on same nodeID's it should only have one entry per nodeID, if I understand my code right.
OK, I ran it through a database I had handy, here's actual code that works on my database (change the names for yours of course)
SELECT * FROM (
SELECT * FROM
(
SELECT ticket_id, author_uid, count(*) cto_
FROM strato_ticket GROUP BY author_uid
) as jta
LEFT JOIN
(
SELECT ticket_id as tid, uid, count(*) cfrom_
FROM strato_ticket GROUP BY uid
) as jtb
ON jta.ticket_id = jtb.tid
WHERE ((cto_ + cfrom_) > 3)
) as jt
INNER JOIN strato_invite
ON strato_invite.ticket_id = jt.tid
It's not pretty, but:
select * from nodes where nodeID in (
select x from (
select to_ as x, count(*) as num
from joinTable group by to_
union all
select from_ as x, count(*) as num
from joinTable group by from_
) as temp_table
group by x having sum(num) > 3;
)
Doesn't seem to work for the OP. All I can say is "works on my machine" - here's the data and exact query I used:
CREATE TABLE `foo` (
`id` int(1) DEFAULT NULL,
`to_` varchar(5) DEFAULT NULL,
`from_` varchar(5) DEFAULT NULL
);
INSERT INTO `foo` VALUES (1,'A','B'),(2,'B','A'),(3,'B','C'),(4,'X','C'),(4,'X','B');
The query:
select x from (
select to_ as x, count(*) as num
from foo group by to_
union all
select from_ as x, count(*) as num
from foo group by from_
) as temp_table
group by x having sum(num) > 3;