Slow performance of Products page builder element in the frontend when filtering by category

[ioweb-gr]

Preconditions and environment

• 2.4.7-p2
• A very large catalog of configurable products (over 3 million skus and 50% at least configurable products)

Steps to reproduce

Add with the page builder a "Products" element to the homepage which filters products by category

Go to the frontend and with a profiler check the queries generated

For example in my case this one was generated

SELECT DISTINCT `e`.`entity_id`
                  FROM `catalog_product_entity` AS `e`
                           INNER JOIN `catalog_product_index_price` AS `price_index`
                                      ON price_index.entity_id = e.entity_id AND price_index.customer_group_id = 0 AND
                                         price_index.website_id = '1'
                           INNER JOIN `catalog_product_website` AS `product_website`
                                      ON product_website.product_id = e.entity_id AND product_website.website_id = 1
                  WHERE (((IFNULL(`e`.`entity_id`, 0) IN (SELECT `catalog_category_product`.`product_id`
                                                          FROM `catalog_category_product`
                                                          WHERE (category_id IN ('794'))))))
[2025-01-28 16:35:57] 20 rows retrieved starting from 1 in 7 s 945 ms (execution: 7 s 787 ms, fetching: 158 ms)

This query takes about 9 seconds to run.

If rewritten in a different way like this it runs in 69ms

SELECT DISTINCT `e`.`entity_id`
                  FROM `catalog_product_entity` AS `e`
                           INNER JOIN `catalog_product_index_price` AS `price_index`
                                      ON price_index.entity_id = e.entity_id AND price_index.customer_group_id = 0 AND
                                         price_index.website_id = '1'
                           INNER JOIN `catalog_product_website` AS `product_website`
                                      ON product_website.product_id = e.entity_id AND product_website.website_id = 1
                  WHERE EXISTS (SELECT 1
                                FROM `catalog_category_product`
                                WHERE `catalog_category_product`.`product_id` = `e`.`entity_id`
                                  AND `catalog_category_product`.`category_id` IN ('794'))
[2025-01-28 16:36:20] 20 rows retrieved starting from 1 in 125 ms (execution: 69 ms, fetching: 56 ms)

So basically the way the category filter is used in the where condition is causing a huge delay.

With 2 instances of this type of widget the page takes over 20 seconds to load making it unusable.

Expected result

The products are loaded fast

Actual result

The page becomes unusable when using multiple widgets like this

Additional information

No response

Release note

No response

Triage and priority

• Severity: S0 - Affects critical data or functionality and leaves users without workaround.
• Severity: S1 - Affects critical data or functionality and forces users to employ a workaround.
• Severity: S2 - Affects non-critical data or functionality and forces users to employ a workaround.
• Severity: S3 - Affects non-critical data or functionality and does not force users to employ a workaround.
• Severity: S4 - Affects aesthetics, professional look and feel, “quality” or “usability”.

[m2-assistant]

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[m2-assistant]

Hi @engcom-Hotel. Thank you for working on this issue.
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[engcom-Hotel]

Hello @ioweb-gr,

Thanks for the report and collaboration!

We have tried to reproduce the issue with the mentioned steps in the latest development branch i.e. 2.4-develop and it seems the issue has been reproducible for us. We have tried to reproduce the issue with almost 10 lakhs product and the query for us us as follows:

SELECT DISTINCT  `e`.`entity_id` FROM `catalog_product_entity` AS `e` INNER JOIN `catalog_product_index_price` AS `price_index` ON price_index.entity_id = e.entity_id AND price_index.customer_group_id = 0 AND price_index.website_id = '1' INNER JOIN `catalog_product_website` AS `product_website` ON product_website.product_id = e.entity_id AND product_website.website_id = 1 WHERE (((IFNULL(`e`.`entity_id`, 0) IN (SELECT `catalog_category_product`.`product_id` FROM
`catalog_category_product` WHERE (category_id IN ('3', '174', '175', '176', '177', '178', '179', '180', '181', '182', '183', '184', '185', '186', '187', '188', '189', '190', '191', '192', '193', '194', '195', '196', '197', '198', '199', '200', '201', '202', '203', '204', '205', '206', '207', '208', '209', '210', '211', '212', '213', '214', '215', '216', '217', '218', '219', '220', '221', '222', '223', '224', '225', '226', '227', '228', '229', '230', '231', '232', '233', '234', '235', '236', '237', '238', '239', '240', '241', '242', '243', '244', '245', '246', '247', '248', '249', '250', '251', '252', '253', '254', '255', '256', '257', '258', '259', '260', '261', '262', '263', '264', '265', '266', '267', '268', '269', '270', '271', '272', '273', '274', '275', '276', '277', '278',
'279', '280', '281', '282', '283', '284', '285', '286', '287', '288', '289', '290', '291', '292', '293', '294', '295', '296', '297', '298', '299', '300', '301', '302', '303', '304', '305', '306', '307', '308', '309', '310', '311', '312', '313', '314', '315', '316', '317', '318', '319', '320', '321', '322', '323', '324', '325', '326', '327', '328', '329', '330', '331', '332', '333', '334', '335', '336', '337', '338', '339', '340', '341', '342', '343', '4', '26', '27', '28', '29', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '50', '51', '52', '53', '54', '55', '56', '57', '58', '59', '60', '61', '62', '63', '64', '65', '66', '67', '5', '11', '12', '13', '14', '15', '16', '17', '18', '19', '20', '21', '22', '23', '24', '25', '6', '10', '7', '8', '9', '68', '69', '70', '71', '72', '73', '74', '75', '76', '77', '78', '79', '80', '81', '82', '83', '84', '85', '86', '87', '88', '89', '111', '112', '113', '114', '115', '116', '117', '118', '119', '120', '121', '122', '123', '124', '125', '126', '127', '128', '129', '130', '131', '132', '133', '134', '135', '136', '137', '138', '139', '140', '141', '142', '143', '144', '145', '146', '147', '148', '149', '150', '151', '152', '153', '154', '155', '156', '157', '158', '159', '160', '161', '162', '163', '164', '165', '166', '167', '168', '169', '170', '171', '172', '173', '90', '101', '102', '103', '104', '105', '106', '107', '108', '109', '110', '91', '92', '93', '94', '95', '96', '100', '97', '98', '99')))) ));

The above query took 0.77 sec:

Then we have tried with your suggested query as follows:

SELECT DISTINCT  `e`.`entity_id` FROM `catalog_product_entity` AS `e` INNER JOIN `catalog_product_index_price` AS `price_index` ON price_index.entity_id = e.entity_id AND price_index.customer_group_id = 0 AND price_index.website_id = '1' INNER JOIN `catalog_product_website` AS `product_website` ON product_website.product_id = e.entity_id AND product_website.website_id = 1 WHERE EXISTS (((SELECT 1 FROM `catalog_category_product` WHERE `catalog_category_product`.`product_id` = `e`.`entity_id` AND `catalog_category_product`.`category_id` IN ('3', '174', '175', '176', '177', '178', '179', '180', '181', '182', '183', '184', '185', '186', '187', '188', '189', '190', '191', '192', '193', '194', '195', '196', '197', '198', '199', '200', '201', '202', '203', '204', '205', '206', '207', '208', '209', '210', '211', '212', '213', '214', '215', '216', '217', '218', '219', '220', '221', '222', '223', '224', '225', '226', '227', '228', '229', '230', '231', '232', '233', '234', '235', '236', '237', '238', '239', '240', '241', '242', '243', '244', '245', '246', '247', '248', '249', '250', '251', '252', '253', '254', '255', '256', '257', '258', '259', '260', '261', '262', '263', '264', '265', '266', '267', '268', '269', '270', '271', '272', '273', '274', '275', '276', '277', '278', '279', '280', '281', '282', '283', '284', '285', '286', '287', '288', '289', '290', '291', '292', '293', '294', '295', '296', '297', '298', '299', '300', '301', '302', '303', '304', '305', '306', '307', '308', '309', '310', '311', '312', '313', '314', '315', '316', '317', '318', '319', '320', '321', '322', '323', '324', '325', '326', '327', '328', '329', '330', '331', '332', '333', '334', '335', '336', '337', '338', '339', '340', '341', '342', '343', '4', '26', '27', '28', '29', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '50', '51', '52', '53', '54', '55', '56', '57', '58', '59', '60', '61', '62', '63', '64', '65', '66', '67', '5', '11', '12', '13', '14', '15', '16', '17', '18', '19', '20', '21', '22', '23', '24', '25', '6', '10', '7', '8', '9', '68', '69', '70', '71', '72', '73', '74', '75', '76', '77', '78', '79', '80', '81', '82', '83', '84', '85', '86', '87', '88', '89', '111', '112', '113', '114', '115', '116', '117', '118', '119', '120', '121', '122', '123', '124', '125', '126', '127', '128', '129', '130', '131', '132', '133', '134', '135', '136', '137', '138', '139', '140', '141', '142', '143', '144', '145', '146', '147', '148', '149', '150', '151', '152', '153', '154', '155', '156', '157', '158', '159', '160', '161', '162', '163', '164', '165', '166', '167', '168', '169', '170', '171', '172', '173', '90', '101', '102', '103', '104', '105', '106', '107', '108', '109', '110', '91', '92', '93', '94', '95', '96', '100', '97', '98', '99'))));

which took 0.47 sec to complete:

It clearly shows that there is room for query optimization. Hence confirming the issue.

Thanks