优化按联接表中的字段对结果进行分组的查询

Question

我有一个非常简单的查询，必须按联接表中的字段对结果进行分组：

SELECT SQL_NO_CACHE p.name, COUNT(1) FROM ycs_sales s
INNER JOIN ycs_products p ON s.id = p.sales_id 
WHERE s.dtm BETWEEN '2018-02-16 00:00:00' AND  '2018-02-22 23:59:59'
GROUP BY p.name

表ycs_products实际上是sales_products，列出了每次销售中的产品。我希望看到一段时间内销售的每种产品的份额。

当前查询速度为2秒，这对于用户交互来说太多了。我需要让这个查询快速运行。有没有办法摆脱没有非规范化的Using temporary？

连接顺序非常重要，两个表中都有大量数据，并且按日期限制记录数是不容置疑的先决条件。

这里是解释结果

*************************** 1. row ***************************
           id: 1
  select_type: SIMPLE
        table: s
         type: range
possible_keys: PRIMARY,dtm
          key: dtm
      key_len: 6
          ref: NULL
         rows: 1164728
        Extra: Using where; Using index; Using temporary; Using filesort
*************************** 2. row ***************************
           id: 1
  select_type: SIMPLE
        table: p
         type: ref
possible_keys: sales_id
          key: sales_id
      key_len: 5
          ref: test.s.id
         rows: 1
        Extra: 
2 rows in set (0.00 sec)

和json一样

EXPLAIN: {
  "query_block": {
    "select_id": 1,
    "filesort": {
      "sort_key": "p.`name`",
      "temporary_table": {
        "table": {
          "table_name": "s",
          "access_type": "range",
          "possible_keys": ["PRIMARY", "dtm"],
          "key": "dtm",
          "key_length": "6",
          "used_key_parts": ["dtm"],
          "rows": 1164728,
          "filtered": 100,
          "attached_condition": "s.dtm between '2018-02-16 00:00:00' and '2018-02-22 23:59:59'",
          "using_index": true
        },
        "table": {
          "table_name": "p",
          "access_type": "ref",
          "possible_keys": ["sales_id"],
          "key": "sales_id",
          "key_length": "5",
          "used_key_parts": ["sales_id"],
          "ref": ["test.s.id"],
          "rows": 1,
          "filtered": 100
        }
      }
    }
  }
}

以及创建表虽然我发现它是不必要的

    CREATE TABLE `ycs_sales` (
      `id` int(11) NOT NULL AUTO_INCREMENT,
      `dtm` datetime DEFAULT NULL,
      PRIMARY KEY (`id`),
      KEY `dtm` (`dtm`)
    ) ENGINE=InnoDB AUTO_INCREMENT=2332802 DEFAULT CHARSET=latin1
    CREATE TABLE `ycs_products` (
      `id` int(11) NOT NULL AUTO_INCREMENT,
      `sales_id` int(11) DEFAULT NULL,
      `name` varchar(255) DEFAULT NULL,
      PRIMARY KEY (`id`),
      KEY `sales_id` (`sales_id`)
    ) ENGINE=InnoDB AUTO_INCREMENT=2332802 DEFAULT CHARSET=latin1

还有一个用于复制测试环境的php代码

#$pdo->query("set global innodb_flush_log_at_trx_commit = 2");
$pdo->query("create table ycs_sales (id int auto_increment primary key, dtm datetime)");
$stmt = $pdo->prepare("insert into ycs_sales values (null, ?)");
foreach (range(mktime(0,0,0,2,1,2018), mktime(0,0,0,2,28,2018)) as $stamp){
    $stmt->execute([date("Y-m-d", $stamp)]);
}
$max_id = $pdo->lastInsertId();
$pdo->query("alter table ycs_sales add key(dtm)");

$pdo->query("create table ycs_products (id int auto_increment primary key, sales_id int, name varchar(255))");
$stmt = $pdo->prepare("insert into ycs_products values (null, ?, ?)");
$products = ['food', 'drink', 'vape'];
foreach (range(1, $max_id) as $id){
    $stmt->execute([$id, $products[rand(0,2)]]);
}
$pdo->query("alter table ycs_products add key(sales_id)");

Answer 1

另一答案

优化按联接表中的字段对结果进行分组的查询

编辑