I have an index table of entity attribute values that looks like this: +-----------+--------------+----------+-------+ | entity_id | attribute_id | store_id | value | +-----------+--------------+----------+-------+ | 38 | 190 | 1 | 22 | | 38 | 190 | 1 | 23 | | 39 | 190 | 1 | 22 | | 39 | 190 | 1 | 23 | | 39 | 190 | 1 | 42 | | 40 | 190 | 1 | 22 | | 41 | 190 | 1 | 54 | | 42 | 190 | 1 | 54 | | 43 | 190 | 1 | 22 | | 44 | 190 | 1 | 22 | | 45 | 190 | 1 | 54 | +-----------+--------------+----------+-------+
+-----------+--------------+----------+-------+ | entity_id | attribute_id | store_id | value | +-----------+--------------+----------+-------+ | 38 | 190 | 1 | 22 | | 38 | 190 | 1 | 23 | | 39 | 190 | 1 | 22 | | 39 | 190 | 1 | 23 | | 39 | 190 | 1 | 42 | | 40 | 190 | 1 | 22 | | 41 | 190 | 1 | 54 | | 42 | 190 | 1 | 54 | | 43 | 190 | 1 | 22 | | 44 | 190 | 1 | 22 | | 45 | 190 | 1 | 54 | +-----------+--------------+----------+-------+
As you can see, a single entity can have multiple values for a single attribute ( entity_id
38 has value
s 22,23) and these values are not unique per entity ( entity_id
38,39 both share value
22).
The first problem to solve is getting the number of distinct entities per value; this is easily accomplished with:
SELECT value, COUNT(entity_id) AS count
FROM catalog_product_index_eav
WHERE attribute_id=190
GROUP BY value;
which results in: +-------+-------+ | value | count | +-------+-------+ | 22 | 5 | | 23 | 2 | | 42 | 1 | | 54 | 3 | +-------+-------+
+-------+-------+ | value | count | +-------+-------+ | 22 | 5 | | 23 | 2 | | 42 | 1 | | 54 | 3 | +-------+-------+
My question is how can I nest an OR condition in this count, namely: for some specific value Y, for each value X, count the number of entities that have either value X or Y.
I would like to do this in a single query. For instance, for attribute_id
190 and value
23, the output from above example should be: +-------+-------+ | value | count | +-------+-------+ | 22 | 5 | # all entities with value 22 happen to have 23 as well | 23 | 2 | that is, one is a subset of the other | 42 | 2 | # intersection is nonempty | 54 | 5 | # sets are disjoint +-------+-------+
+-------+-------+ | value | count | +-------+-------+ | 22 | 5 | # all entities with value 22 happen to have 23 as well | 23 | 2 | that is, one is a subset of the other | 42 | 2 | # intersection is nonempty | 54 | 5 | # sets are disjoint +-------+-------+
select c1.value,
( SELECT COUNT(DISTINCT entity_id) as count
FROM catalog_product_index_eav
where attribute_id=81
and (value=c1.value || value=7) ) as count
FROM catalog_product_index_eav c1
WHERE attribute_id=81
GROUP BY c1.value
Try to use
Select C.value, max(C.count) from (
SELECT A.value, (Select COUNT(B.entity_id) from FROM catalog_product_index_eav B
WHERE B.attribute_id=A.attribute_id and (B.value=A.value or B.value=23)) AS count
FROM catalog_product_index_eav A
WHERE A.attribute_id=190) C group by C.value
It gives you both results in single query if it is satisfied your output.
SELECT i.value AS [value], COUNT(i.entity_id) AS [count],
(SELECT COUNT(b.entity_id) tot FROM catalog_product_index_eav b
WHERE b.entity_id IN (SELECT v.entity_id FROM
catalog_product_index_eav v WHERE v.VALUE = i.value)) AS [total_count]
FROM catalog_product_index_eav i
WHERE i.attribute_id=190
GROUP BY i.value
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