将 Mysql 查询转换为弹性搜索查询

Question

我正在研究弹性搜索，但不是制作弹性搜索查询的专家。在下面找到我的查询，如果可能的话，请转换为 elasticsearch 查询，然后提前感谢

SELECT
  `currency`.`id`                         AS `cur_id`,
  `currency`.`currency_name`              AS `cur_name`,
  `currency`.`currency_code`              AS `cur_code`,
  `currency`.`currency_slug`              AS `cur_slug`,
  `currency`.`logo`                       AS `cur_logo`,
  `currency`.`added_date`                 AS `cur_added_date`,
  `currency`.`mineable_or_not`            AS `mineable_or_not`,
  `currency`.`market_cap`                 AS `cur_market_cap`,
  `currency`.`circulating_supply`         AS `cur_circulating_supply`,
  `currency`.`max_supply`                 AS `cur_max_supply`,
  `currency`.`total_supply`               AS `cur_total_supply`,
  `currency`.`market_cap`                 AS `ng_cur_market_cap`,
  `currency`.`added_date`                 AS `ng_cur_added_date`,
  `currency`.`circulating_supply`         AS `ng_cur_circulating_supply`,
  `calculations`.`volume_1hour`           AS `cal_volume_1hour`,
  `calculations`.`volume_24hour`          AS `cal_volume_24hour`,
  `calculations`.`volume_168hour`         AS `cal_volume_168hour`,
  `calculations`.`volume_720hour`         AS `cal_volume_720hour`,
  `calculations`.`volume_24hour_btc`      AS `cal_volume_24hour_btc`,
  `calculations`.`current_price`          AS `cal_current_price`,
  `calculations`.`percentage_change`      AS `cal_percentage_change_24h`,
  `calculations`.`percentage_change_1h`   AS `cal_percentage_change_1h`,
  `calculations`.`percentage_change_168h` AS `cal_percentage_change_168h`,
  `calculations`.`volume_24hour`          AS `ng_cal_volume_24hour`,
  `calculations`.`current_price`          AS `ng_cal_current_price`
FROM `currency`
  JOIN `calculations` ON `calculations`.`currency_id` = `currency`.`id`
WHERE `calculations`.`update_status` = 1 AND `currency`.`currency_type` != 3 AND `calculations`.`update_status` = 1 AND `currency`.`status` = 1
ORDER BY `market_cap` DESC
LIMIT 100

Answer 1

正如 eliasah 所说，弹性搜索中没有加入操作。

Joining queries

一般来说，您不能真正在 ES 中执行连接查询。您可以在同一索引下的文档上建立父/子关系，但这是我不会选择的。我最好的建议是对您的数据进行非规范化，并使每个文档尽可能“独立”。在这个特定示例中，一种可能的解决方案是将计算存储在货币中，您最终会得到如下查询：

{
  "_source": ["id", "logo", ..., "calculations.volume_1h","calculations.volume_24h",...],
  "query": {
    "bool": {
      "must":[   
        {
          "match":{
            "calculations.update_status":1
          }
        },
        {
          "match":{
            "currency_type":3
          }
        },
        {
          "match":{
            "status":1
          }
        }
      ]     
  },
  "sort" : [
    {
      "market_cap": {
        "order": "desc"
      }
    }
  ]
  "size":100
}