Magento is a professional open source e-commerce platform, developed in PHP and using the Zend Framework. However, some netizens on the Internet said that there was a bug in Magento 2.2.5 and 2.2.6. After the product set special price and deleted it, the price sorting was wrong. The editor summarized the problem.
1. Problem description: This problem exists in versions 2.2.5 and 2.2.6, and it is a system bug of Magento2. Set a special price for the product, such as 0.5 yuan. When this product is sorted by price from low to high, it will be ranked first; then delete the special price, save it, and rebuild the index. The price displayed for this product is correct, but even if it is displayed The price is lower than this product, and this product still ranks first in terms of price.
2. Problem location:
1. There is a problem with price sorting. There must be a problem with data storage. First, look for price-related data tables in the database. Look at catalog_product_index_price and catalog_category_entity_decimal together. It is found that among the problematic products, the values of final_price max_price min_price are all 0. When changed to the same value as price, the price sorting is correct. The table in question is identified as catalog_product_index_price.
2. Determine why the final price value of catalog_product_index_price in this table is saved as 0 when saving the product. Product saving is related to the file vendor/magento/module-catalog/Controller/Adminhtml/Product/Save.php. Breakpoint debugging failed to detect the operation of saving catalog_product_index_price. Later, a colleague reminded me that the product will be reindexed after being saved. A simple test found that the catalog_product_index_price table was indeed saved when reindexed.
3. When reindexing, use breakpoint debugging to obtain the SQL statement that is finally inserted into the data table. As long as the SQL statement is analyzed, the source of the problem can be determined. The starting point of reindex is in the file vendor/magento/module-indexer/Console/Command/IndexerReindexCommand.php, but there are many indexers. It takes a lot of effort and patience to accurately find the reindex operation of the price. Finally, find the file vendor/magento/module-catalog/Model/ResourceModel/Product/Indexer/Price/SimpleProductPrice.php, from which you can get the SQL statement $query variable inserted into the temporary table, copy the SQL statement, and put it into Navicat for execution. You can find In the data to be inserted, final_price is 0. The following mainly analyzes this SQL statement.
4. As shown in the SQL statement shown below, this statement is very long and complex. It is very difficult to analyze its internal logical structure clearly. First, there is no corresponding experience in analyzing complex SQL statements. Second, it is very time-consuming. After demonstrations and reminders from colleagues, I found that analyzing this SQL statement is not as difficult as imagined, because no matter how complex the statement is, it is composed of basic statements, but with multiple layers of nesting added, the judgment of the if statement makes it visible. It sounds very complicated, but the basic analysis method is still: "divide and conquer, defeat each one." This Chinese idiom contains rich philosophical wisdom. I found that all problems in real life can be solved with this theory. The following explains in detail how to "divide and conquer" and how to "defeat each other".
Divide and conquer is to ignore the irrelevant things in this SQL statement and only focus on the core data. There is a problem with final_price. Let's see how its final_price is found and look at the yellow background part. Its outermost layer is a layer of IFNULL judgment. It means that if the first parameter is true, then it returns itself, otherwise it returns the second parameter. final_price is now 0, then it can be judged that the first parameter must be FALSE. . But the first parameter is a long paragraph. Let's analyze it carefully. Because there are many nests, it is not easy to see clearly. At this time, we need to introduce external tools to format it so that the hierarchical structure is clearer and can be See the beginning and end of the bracket. PHPStorm is a very useful tool. Copy this code into it and format it before analyzing it.
Breakdown each one, because the code involves comparison and operation of values, so we need to learn to print and display these different values, and then use them one by one for comparison and analysis. It is not difficult to print (query) it. Just imitate it itself. You can query it by using IFNULL or IF statement.
5. After the above analysis, it was finally determined that the problem lies in a product attribute called special_from_date. When special_price is saved, the value of this attribute is also saved, but when special_price is deleted, it is not deleted. The remaining data will affect the judgment of the above SQL statement, causing the value of final_price to become 0.
6. After locating the problem, it is the final solution. Override the execute method of the vendor/magento/module-catalog/Observer/SetSpecialPriceStartDate.php file and change it to the following. Its function is to save special_from_date when there is special_price, and delete special_from_date when there is no special_price. After updating the code, the problem was solved.
/**
* Set the current date to Special Price From attribute if it empty
*
* If special price was deleted, Special Price From attribute will be deleted
*
* (Important! Otherwise indexer would be confused)
*
* @param \Magento\Framework\Event\Observer $observer
* @return $this
*/
public function execute(\Magento\Framework\Event\Observer $observer)
{
/** @var $product \Magento\Catalog\Model\Product */
$product = $observer->getEvent()->getProduct();
if ($product->getSpecialPrice() && !$product->getSpecialFromDate()) {
$product->setData('special_from_date', $this->localeDate->date());
} elseif (!$product->getSpecialPrice() && $product->getSpecialFromDate()) {
$product->unsetData('special_from_date');
}
return $this;
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三、总结：经此，定位问题，解决问题的能力又获得一丁点的提升。主要是学会了对复杂SQL语句的初步分析，知道了IFNULL、IF、LEAST函数的使用，AND比OR的优先级要高的事实。
SQL语句：
INSERT INTO `catalog_product_index_price_temp` SELECT `e`.`entity_id`, `cg`.`customer_group_id`, `pw`.`website_id`, IF(IFNULL(tas_tax_class_id.value_id, -1) > 0, tas_tax_class_id.value, tad_tax_class_id.value) AS `tax_class_id`, IFNULL((ta_price.value), 0) AS `price`, IFNULL((LEAST(ta_price.value, IF(ta_special_price.value IS NOT NULL AND IF(IFNULL(tas_special_from_date.value_id, -1) > 0, tas_special_from_date.value, tad_special_from_date.value) IS NULL OR DATE(IF(IFNULL(tas_special_from_date.value_id, -1) > 0, tas_special_from_date.value, tad_special_from_date.value)) <= cwd.website_date AND IF(IFNULL(tas_special_to_date.value_id, -1) > 0, tas_special_to_date.value, tad_special_to_date.value) IS NULL OR DATE(IF(IFNULL(tas_special_to_date.value_id, -1) > 0, tas_special_to_date.value, tad_special_to_date.value)) >= cwd.website_date, ta_special_price.value, ~0), IFNULL((IF(tier_price_1.value_id is NULL AND tier_price_2.value_id is NULL AND tier_price_3.value_id is NULL AND tier_price_4.value_id is NULL, NULL, LEAST(IFNULL((IF(tier_price_1.value = 0, ROUND(ta_price.value * (1 - ROUND(tier_price_1.percentage_value * cwd.rate, 4) / 100), 4), ROUND(tier_price_1.value * cwd.rate, 4))), ~0), IFNULL((IF(tier_price_2.value = 0, ROUND(ta_price.value * (1 - ROUND(tier_price_2.percentage_value * cwd.rate, 4) / 100), 4), ROUND(tier_price_2.value * cwd.rate, 4))), ~0), IFNULL((IF(tier_price_3.value = 0, ROUND(ta_price.value * (1 - ROUND(tier_price_3.percentage_value * cwd.rate, 4) / 100), 4), ROUND(tier_price_3.value * cwd.rate, 4))), ~0), IFNULL((IF(tier_price_4.value = 0, ROUND(ta_price.value * (1 - ROUND(tier_price_4.percentage_value * cwd.rate, 4) / 100), 4), ROUND(tier_price_4.value * cwd.rate, 4))), ~0)))), ~0))), 0) AS `final_price`, IFNULL((LEAST(ta_price.value, IF(ta_special_price.value IS NOT NULL AND IF(IFNULL(tas_special_from_date.value_id, -1) > 0, tas_special_from_date.value, tad_special_from_date.value) IS NULL OR DATE(IF(IFNULL(tas_special_from_date.value_id, -1) > 0, tas_special_from_date.value, tad_special_from_date.value)) <= cwd.website_date AND IF(IFNULL(tas_special_to_date.value_id, -1) > 0, tas_special_to_date.value, tad_special_to_date.value) IS NULL OR DATE(IF(IFNULL(tas_special_to_date.value_id, -1) > 0, tas_special_to_date.value, tad_special_to_date.value)) >= cwd.website_date, ta_special_price.value, ~0), IFNULL((IF(tier_price_1.value_id is NULL AND tier_price_2.value_id is NULL AND tier_price_3.value_id is NULL AND tier_price_4.value_id is NULL, NULL, LEAST(IFNULL((IF(tier_price_1.value = 0, ROUND(ta_price.value * (1 - ROUND(tier_price_1.percentage_value * cwd.rate, 4) / 100), 4), ROUND(tier_price_1.value * cwd.rate, 4))), ~0), IFNULL((IF(tier_price_2.value = 0, ROUND(ta_price.value * (1 - ROUND(tier_price_2.percentage_value * cwd.rate, 4) / 100), 4), ROUND(tier_price_2.value * cwd.rate, 4))), ~0), IFNULL((IF(tier_price_3.value = 0, ROUND(ta_price.value * (1 - ROUND(tier_price_3.percentage_value * cwd.rate, 4) / 100), 4), ROUND(tier_price_3.value * cwd.rate, 4))), ~0), IFNULL((IF(tier_price_4.value = 0, ROUND(ta_price.value * (1 - ROUND(tier_price_4.percentage_value * cwd.rate, 4) / 100), 4), ROUND(tier_price_4.value * cwd.rate, 4))), ~0)))), ~0))), 0) AS `min_price`, IFNULL((LEAST(ta_price.value, IF(ta_special_price.value IS NOT NULL AND IF(IFNULL(tas_special_from_date.value_id, -1) > 0, tas_special_from_date.value, tad_special_from_date.value) IS NULL OR DATE(IF(IFNULL(tas_special_from_date.value_id, -1) > 0, tas_special_from_date.value, tad_special_from_date.value)) <= cwd.website_date AND IF(IFNULL(tas_special_to_date.value_id, -1) > 0, tas_special_to_date.value, tad_special_to_date.value) IS NULL OR DATE(IF(IFNULL(tas_special_to_date.value_id, -1) > 0, tas_special_to_date.value, tad_special_to_date.value)) >= cwd.website_date, ta_special_price.value, ~0), IFNULL((IF(tier_price_1.value_id is NULL AND tier_price_2.value_id is NULL AND tier_price_3.value_id is NULL AND tier_price_4.value_id is NULL, NULL, LEAST(IFNULL((IF(tier_price_1.value = 0, ROUND(ta_price.value * (1 - ROUND(tier_price_1.percentage_value * cwd.rate, 4) / 100), 4), ROUND(tier_price_1.value * cwd.rate, 4))), ~0), IFNULL((IF(tier_price_2.value = 0, ROUND(ta_price.value * (1 - ROUND(tier_price_2.percentage_value * cwd.rate, 4) / 100), 4), ROUND(tier_price_2.value * cwd.rate, 4))), ~0), IFNULL((IF(tier_price_3.value = 0, ROUND(ta_price.value * (1 - ROUND(tier_price_3.percentage_value * cwd.rate, 4) / 100), 4), ROUND(tier_price_3.value * cwd.rate, 4))), ~0), IFNULL((IF(tier_price_4.value = 0, ROUND(ta_price.value * (1 - ROUND(tier_price_4.percentage_value * cwd.rate, 4) / 100), 4), ROUND(tier_price_4.value * cwd.rate, 4))), ~0)))), ~0))), 0) AS `max_price`, IF(tier_price_1.value_id is NULL AND tier_price_2.value_id is NULL AND tier_price_3.value_id is NULL AND tier_price_4.value_id is NULL, NULL, LEAST(IFNULL((IF(tier_price_1.value = 0, ROUND(ta_price.value * (1 - ROUND(tier_price_1.percentage_value * cwd.rate, 4) / 100), 4), ROUND(tier_price_1.value * cwd.rate, 4))), ~0), IFNULL((IF(tier_price_2.value = 0, ROUND(ta_price.value * (1 - ROUND(tier_price_2.percentage_value * cwd.rate, 4) / 100), 4), ROUND(tier_price_2.value * cwd.rate, 4))), ~0), IFNULL((IF(tier_price_3.value = 0, ROUND(ta_price.value * (1 - ROUND(tier_price_3.percentage_value * cwd.rate, 4) / 100), 4), ROUND(tier_price_3.value * cwd.rate, 4))), ~0), IFNULL((IF(tier_price_4.value = 0, ROUND(ta_price.value * (1 - ROUND(tier_price_4.percentage_value * cwd.rate, 4) / 100), 4), ROUND(tier_price_4.value * cwd.rate, 4))), ~0))) AS `tier_price` FROM `catalog_product_entity` AS `e`
CROSS JOIN `customer_group` AS `cg`
INNER JOIN `catalog_product_website` AS `pw` ON pw.product_id = e.entity_id
INNER JOIN `catalog_product_index_website` AS `cwd` ON pw.website_id = cwd.website_id
LEFT JOIN `catalog_product_index_tier_price` AS `tp` ON tp.entity_id = e.entity_id AND tp.customer_group_id = cg.customer_group_id AND tp.website_id = pw.website_id
LEFT JOIN `catalog_product_entity_tier_price` AS `tier_price_1` ON tier_price_1.row_id = e.row_id AND tier_price_1.all_groups = 0 AND tier_price_1.customer_group_id = cg.customer_group_id AND tier_price_1.qty = 1 AND tier_price_1.website_id = 0
LEFT JOIN `catalog_product_entity_tier_price` AS `tier_price_2` ON tier_price_2.row_id = e.row_id AND tier_price_2.all_groups = 0 AND tier_price_2.customer_group_id = cg.customer_group_id AND tier_price_2.qty = 1 AND tier_price_2.website_id = pw.website_id
LEFT JOIN `catalog_product_entity_tier_price` AS `tier_price_3` ON tier_price_3.row_id = e.row_id AND tier_price_3.all_groups = 1 AND tier_price_3.customer_group_id = 0 AND tier_price_3.qty = 1 AND tier_price_3.website_id = 0
LEFT JOIN `catalog_product_entity_tier_price` AS `tier_price_4` ON tier_price_4.row_id = e.row_id AND tier_price_4.all_groups = 1 AND tier_price_4.customer_group_id = 0 AND tier_price_4.qty = 1 AND tier_price_4.website_id = pw.website_id
LEFT JOIN `catalog_product_entity_int` AS `tad_tax_class_id` ON tad_tax_class_id.row_id = e.row_id AND tad_tax_class_id.attribute_id = 149 AND tad_tax_class_id.store_id = 0
LEFT JOIN `catalog_product_entity_int` AS `tas_tax_class_id` ON tas_tax_class_id.row_id = e.row_id AND tas_tax_class_id.attribute_id = 149 AND tas_tax_class_id.store_id = cwd.default_store_id
INNER JOIN `catalog_product_entity_int` AS `tad_status` ON tad_status.row_id = e.row_id AND tad_status.attribute_id = 97 AND tad_status.store_id = 0
LEFT JOIN `catalog_product_entity_int` AS `tas_status` ON tas_status.row_id = e.row_id AND tas_status.attribute_id = 97 AND tas_status.store_id = cwd.default_store_id
LEFT JOIN `catalog_product_entity_decimal` AS `ta_price` ON ta_price.row_id = e.row_id AND ta_price.attribute_id = 77 AND ta_price.store_id = 0
LEFT JOIN `catalog_product_entity_decimal` AS `ta_special_price` ON ta_special_price.row_id = e.row_id AND ta_special_price.attribute_id = 78 AND ta_special_price.store_id = 0
LEFT JOIN `catalog_product_entity_datetime` AS `tad_special_from_date` ON tad_special_from_date.row_id = e.row_id AND tad_special_from_date.attribute_id = 79 AND tad_special_from_date.store_id = 0
LEFT JOIN `catalog_product_entity_datetime` AS `tas_special_from_date` ON tas_special_from_date.row_id = e.row_id AND tas_special_from_date.attribute_id = 79 AND tas_special_from_date.store_id = cwd.default_store_id
LEFT JOIN `catalog_product_entity_datetime` AS `tad_special_to_date` ON tad_special_to_date.row_id = e.row_id AND tad_special_to_date.attribute_id = 80 AND tad_special_to_date.store_id = 0
LEFT JOIN `catalog_product_entity_datetime` AS `tas_special_to_date` ON tas_special_to_date.row_id = e.row_id AND tas_special_to_date.attribute_id = 80 AND tas_special_to_date.store_id = cwd.default_store_id WHERE ((IF(IFNULL(tas_status.value_id, -1) > 0, tas_status.value, tad_status.value) = 1) AND (e.type_id = 'simple') AND (e.entity_id BETWEEN 2 AND 21)) AND (e.created_in <= '1546224120') AND (e.updated_in > '1546224120')
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