I have a database with three tables right now : equipements and equipements_statistics that contains the statistics of each equipements and finally stats that contains all type of statistics.
To retrieve an equipement on a filter I'm doing this query :
SELECT
*
FROM
`equipement`
INNER JOIN `equipement_stats` ON `equipement_stats`.`id_equipement` = `equipement`.`id_equipement`
INNER JOIN `stats` ON `stats`.`id_stats` = `equipement_stats`.`id_stats`
WHERE
`stats`.`id_stats` IN(1068, 1069)
GROUP BY
`equipement`.`id_equipement`
HAVING
COUNT(DISTINCT stats.id_stats) = 1
LIMIT 10
Tables are like this :
equipement
+---------------+-----------------+
| id_equipement | name_equipement |
+---------------+-----------------+
| 1 | one |
| 2 | two |
| 3 | three |
+---------------+-----------------+`
equipement_stats
+---------------+-----------+---------------+
| id_equipement | id_stats | random_number |
+---------------+-----------+---------------+
| 1 | 2 | 0 |
| 1 | 4 | 0 |
| 1 | 1069 | 1 |
| 1 | 8 | 0 |
| _____________ | _________ | _____________ |
| 2 | 1070 | 2 |
| 2 | 1069 | 3 |
| 2 | 20 | 0 |
| 2 | 40 | 0 |
+---------------+-----------+---------------+
If stats are 1068 or 1069 I must filter them on the column random_number but random_number value can be different for 1070 and 1069. How to look only for a precise id_stats with a precise random_number?
In my case for example, I would like to filter on equipements that has the stats 1070 with random_number 2 and stats 1069 with random_number 3 as the 2nd entry.
Thanks you for helping!
The easiest way to filter tuples is this:
WHERE (equipement_stats.id_stats, equipement_stats.random_number) IN ( (1068,2) , (1069,3) )
Related
I have a mySQL database table containing cellphones information like this:
ID Brand Model Price Type Size
==== ===== ===== ===== ====== ====
1 Apple A71 3128 A 40
2 Samsung B7C 3128 B 20
3 Apple ZX5 3128 A 30
4 Huawei Q32 2574 B 40
5 Apple A21 2574 A 25
6 Apple A71 3369 A 30
7 Samsung A71 7413 C 40
Now I want to create another table, that would contain counts for every possible combination of the parameters.
Params Count
============================================== =======
ALL 1000000
Brand(Apple) 20000
Brand(Apple,Samsung) 40000
Brand(Apple),Model(A71) 7100
Brand(Apple),Type(A) 6000
Brand(Apple),Model(A71,B7C),Type(A,B) 7
Model(A71) 12514
Model(A71,B7C) 26584
Model(A71),Type(A) 6521
Model(A71),Type(A,B) 8958
Model(A71),Type(A,B),Size(40) 85
And so on for every possible combination. I was thinking about creating a stored procedure (that i would execute periodically), that would perform queries with every existing condition like that, but I am a little stuck on how exactly should it look like. Or is there a better way how to do this?
Edit: the reason why I want to store information like this is to be able to show number of results in filter in client application, like in the picture.
I would like to create index on the Params column to be able to get the Count number for given hash instantly, improving performance.
I also tried querying and caching the values dynamically, but I want to try this approach as well, so I can compare which one is more effective.
This is how I am calculating the counts now:
SELECT COUNT(*) FROM products;
SELECT COUNT(*) FROM products WHERE Brand IN ('Apple');
SELECT COUNT(*) FROM products WHERE Brand IN ('Apple', 'Samsung');
SELECT COUNT(*) FROM products WHERE Brand IN ('Apple') AND Model IN ('A71');
etc.
You can use a ROLLUP for this.
SELECT
model, type, size, COUNT(*)
FROM mytab
GROUP BY 1, 2, 3
WITH ROLLUP
With your sample data, we get the following:
| model | type | size | COUNT(*) |
| ----- | ---- | ---- | -------- |
| A21 | A | 25 | 1 |
| A21 | A | | 1 |
| A21 | | | 1 |
| A71 | A | 30 | 1 |
| A71 | A | 40 | 1 |
| A71 | A | | 2 |
| A71 | C | 40 | 1 |
| A71 | C | | 1 |
| A71 | | | 3 |
| B7C | B | 20 | 1 |
| B7C | B | | 1 |
| B7C | | | 1 |
| Q32 | B | 40 | 1 |
| Q32 | B | | 1 |
| Q32 | | | 1 |
| ZX5 | A | 30 | 1 |
| ZX5 | A | | 1 |
| ZX5 | | | 1 |
| | | | 7 |
The subtotals are present in the rows with null values in different columns, and the total is the last row where all group by columns are null.
I have a table called related_clues which lists the id's of pairs of clues which are related
| id | clue_id | related_clue_id | relatedness |
+----+---------+-----------------+-------------+
| 1 | 1 | 232 | 1 |
| 2 | 1 | 306 | 1 |
| 3 | 1 | 458 | 1 |
| 4 | 2 | 620 | 1 |
| 5 | 2 | 72 | 1 |
| 6 | 3 | 212 | 1 |
| 7 | 3 | 232 | 1 |
| 8 | 3 | 412 | 1 |
| 9 | 3 | 300 | 1 |
+----+---------+-----------------+-------------+
Eventually after a while we may reach two id's such as:
+--------+---------+-----------------+-------------+
| id | clue_id | related_clue_id | relatedness |
+--------+---------+-----------------+-------------+
| 121267 | 1636 | 38 | 1 |
| 121331 | 1636 | 38 | 1 |
+--------+---------+-----------------+-------------+
So in this case, for two distinct id values, we have the same (clue_id, related_clue_id) pair
In this case I would like the relatedness value to be updated to 2, signalling that there are two examples of this (clue_id, related_clue_id) pair. Like so:
+--------+---------+-----------------+-------------+
| id | clue_id | related_clue_id | relatedness |
+--------+---------+-----------------+-------------+
| 121267 | 1636 | 38 | 2 |
| 121331 | 1636 | 38 | 2 |
+--------+---------+-----------------+-------------+
So essentially I would like to run some SQL that sets the relatedness value to the number of times a (clue_id, related_clue_id) pair appears.
When I have no relatedness column present, and I simply run the SQL:
SELECT id, clue_id, related_clue_id, COUNT(*) AS relatedness
FROM `related_clues`
GROUP BY clue_id, related_clue_id
It gives me the required result, but of course this doesn't store the relatedness column, it simply shows the column if I run this select. So how do I permanently have this relatedness column?
You could use a update with join
Update related_clues a
INNER JOIN (
SELECT clue_id, related_clue_id, COUNT(*) AS relatedness
FROM `related_clues`
group by clue_id, related_clue_id
having count(*) = 2
) t on t.clue_id = a.clue_id
and t.related_clue_id = a.related_clue_id
set a.relatedness = t.relatedness
I would approach this as an update/join but filter out rows that don't need to be updated:
update related_clues rc join
(select clue_id, related_clue_id, COUNT(*) AS cnt
from `related_clues`
group by clue_id, related_clue_id
) t
on t.clue_id = rc.clue_id and
t.related_clue_id = rc.related_clue_id
set rc.relatedness = t.relatedness
where rc.relatedness <> t.relatedness;
How to select rows which are not defined? Like row 2 have undefined day 3 and row 3 have undefined day 1. I want them to be 0 in result set.
+----+-----+-------+
| id | day | count |
+----+-----+-------+
| 1 | 1 | 262 |
| 1 | 2 | 685 |
| 1 | 3 | 984 |
| 2 | 1 | 692 |
| 2 | 2 | 962 |
| 3 | 2 | 355 |
| 3 | 3 | 741 |
+----+-----+-------+
EDIT:
I want select count from days 1, 2 and 3 (not whole table) and display 0 on undefined day.
We can get all unique id values in a Derived Table.
For day, you seem to want only 1,2 and 3 only. So we can directly consider these values only using UNION ALL.
CROSS JOIN between them to get all possible combinations.
LEFT JOIN from all_combinations table to the main table on id and day.
We can use Coalesce() function to consider 0 value for count, for the cases where there is no matching row in the main table
Try the following:
SELECT all_combinations.id,
all_combinations.day,
COALESCE(t.count, 0) AS count
FROM
(
SELECT ids.id, days.day
FROM
(SELECT DISTINCT id FROM your_table) AS ids
CROSS JOIN
(SELECT 1 AS day UNION ALL SELECT 2 UNION ALL SELECT 3) AS days
) AS all_combinations
LEFT JOIN your_table AS t
ON t.id = all_combinations.id AND
t.day = all_combinations.day
Result:
| id | day | count |
| --- | --- | ----- |
| 1 | 1 | 262 |
| 2 | 1 | 692 |
| 3 | 1 | 0 |
| 1 | 2 | 685 |
| 2 | 2 | 962 |
| 3 | 2 | 355 |
| 1 | 3 | 984 |
| 2 | 3 | 0 |
| 3 | 3 | 741 |
View on DB Fiddle
i try select all columns from two different tables WHERE active = 1
i have 2 tables table_pro and table_basic,
sql:"select * from table_basic,table.name";
and 2 condition:
WHERE active = 1
WHERE table_pro.id = table_basic.name.id
how to make it correctly
Here is table_pro
+----+--------+---------+-----------+
| id | people | rooms | active |
+----+--------+---------+-----------+
| 1 | 5 | 10 | 0 |
| 2 | 12 | 17 | 0 |
| 3 | 21 | 38 | 1 |
+----+--------+---------+-----------+
Here is table_basic
+---------+-------+---------+------------+----------+
| name_id | name | balance | title | time |
+---------+-------+---------+------------+----------+
| 1 |shop | 100 | failed | 15:10:20 |
| 2 |factory| 75 | error | 15:10:20 |
| 3 |studio | 25 | timed_out | 15:10:20 |
+---------+-------+---------+------------+----------+
I'd like to have this output result only rows (from of all columns) with status active = 1
+-----+-------+----- --+--------+-------+----------+---------+--------+
| id | people| rooms | name |balance| title | time | active |
+-----+-------+--------+--------+-------+----------+---------+--------+
| 3 | 21 | 38 | studio |25 | timed_out| 15:10:20| 1 |
+-----+-------+--------+--------+-------+----------+---------+--------+
Thanks
SELECT A.id, A.people, A.rooms, B.name, B.balance, B.title, B.time, A.active
FROM
table_pro AS A
JOIN
table_basic AS B
ON
A.id = B.name_id
WHERE
A.id = 3
SELECT table_pro.*, table_basic.*
FROM table_pro
INNER JOIN table_basic
ON table_basic.name_id = table_pro.id
WHERE table_pro.active = 1
I have a query consisting of multiple joins and I am wondering whether it can be re-written to improve performance.
I have 2 tables as follows (I have removed non-important columns for this example):
slots
------------------------------------------
| id | name | slot_1 | slot_2 | slot_3 |
------------------------------------------
| 1 | Bob | 1 | 2 | 3 |
| 2 | Jim | 4 | 3 | 3 |
| 3 | Alf | 1 | 2 | 5 |
------------------------------------------
(There are 25 slots in total, each in it's own column)
slot_details
-----------------------------------
| id | stat_1 | stat_2 | stat_3 |
-----------------------------------
| 1 | 1 | 5 | 6 |
| 2 | 4 | 31 | 23 |
| 3 | 6 | 5 | 7 |
| 4 | 7 | 4 | 9 |
| 5 | 2 | 3 | 5 |
-----------------------------------
(There are 10 stats in total)
The query is as follows:
SELECT
slots.name,
slot_1_details.stat_1 AS slot_1_stat_1,
slot_1_details.stat_2 AS slot_1_stat_2,
slot_1_details.stat_3 AS slot_1_stat_3,
slot_2_details.stat_1 AS slot_2_stat_1,
slot_2_details.stat_2 AS slot_2_stat_2,
slot_2_details.stat_3 AS slot_2_stat_3,
slot_3_details.stat_1 AS slot_3_stat_1,
slot_3_details.stat_2 AS slot_3_stat_2,
slot_3_details.stat_3 AS slot_3_stat_3
FROM
slots
LEFT JOIN
slot_details AS slot_1_details
ON (
slot_1_details.id = slots.slot_1
)
LEFT JOIN
slot_details AS slot_2_details
ON (
slot_2_details.id = slots.slot_2
)
LEFT JOIN
slot_details AS slot_3_details
ON (
slot_3_details.id = slots.slot_3
)
WHERE (
slots.id = 1
)
The expected outcome of this query would be as follows:
| name | slot_1_stat_1 | slot_1_stat_2 | slot_1_stat_3 | slot_2_stat_1 | slot_2_stat_2 | slot_2_stat_3 | slot_3_stat_1 | slot_3_stat_2 | slot_3_stat_3 |
|bob | 1 | 5 | 6 | 4 | 31 | 23 | 6 | 5 | 7 |
Unfortunately I am not in a situation where I can change the tables.
Thank you for the help!
maybe
SELECT * FROM slots s LEFT JOIN slot_details sd ON s.id=sd.id
but i'm not sure because the query you posted is very confusing.
what are the keys of those tables?