有什么方法可以优化 Snowflake 中的横向展平 json 查询？我的查询执行时间过长

分类：编程问答

如何解决有什么方法可以优化 Snowflake 中的横向展平 json 查询？我的查询执行时间过长

我有带有嵌套数组的json，数据因不同的json而异。我将我的 json 解析代码和示例 json 文件放在这里。当行标记有很多对象时，查询只会变慢，如下所示，此 json 查询在一分钟内执行，但当我有 100 个对象时，最多需要 50 分钟。你可以看到下面的json

    {
  "page_desktop_image": {
    "responseAggregationType": "byPage","rows": [
      {
        "clicks": 5,"ctr": 0.003048780487804878,"impressions": 1640,"keys": [
          "abc"
        ],"position": 10.207317073170731
      },{
        "clicks": 2,"ctr": 0.010638297872340425,"impressions": 188,"position": 28.324468085106382
      },{
        "clicks": 0,"ctr": 0,"impressions": 4,"position": 237.5
      }
    ]
  },"page_desktop_video": {
    "responseAggregationType": "byPage","rows": [
      {
        "clicks": 1,"ctr": 0.038461538461538464,"impressions": 26,"position": 4.5
      },"impressions": 19,"position": 6.947368421052632
      }
    ]
  },"page_desktop_web": {
    "responseAggregationType": "byPage","rows": [
      {
        "clicks": 8578,"ctr": 0.28393631458740193,"impressions": 30211,"position": 1.7217900764622156
      },"impressions": 22,"position": 12.318181818181818
      }
    ]
  },"page_mobile_image": {
    "responseAggregationType": "byPage","rows": [
      {
        "clicks": 3,"ctr": 0.028037383177570093,"impressions": 107,"position": 17.018691588785046
      },"impressions": 37,"keys": [
          "abcx"
        ],"position": 38.4054054054054
      }
    ]
  },"page_mobile_video": {
    "responseAggregationType": "byPage","rows": [
      {
        "clicks": 2,"ctr": 0.05128205128205128,"impressions": 39,"position": 6.487179487179487
      },"impressions": 64,"position": 4.3125
      }
    ]
  },"page_mobile_web": {
    "responseAggregationType": "byPage","rows": [
      {
        "clicks": 3604,"ctr": 0.1579385599719532,"impressions": 22819,"position": 2.3936193522941407
      },"impressions": 12,"position": 6.583333333333333
      }
    ]
  },"page_tablet_image": {
    "responseAggregationType": "byPage","ctr": 0.005649717514124294,"impressions": 177,"position": 5.112994350282486
      },"impressions": 6,"position": 33.5
      }
    ]
  },"page_tablet_video": {
    "responseAggregationType": "byPage","ctr": 0.1,"impressions": 10,"position": 18.7
      },"impressions": 1,"position": 10
      }
    ]
  },"page_tablet_web": {
    "responseAggregationType": "byPage","rows": [
      {
        "clicks": 639,"ctr": 0.2729602733874413,"impressions": 2341,"position": 1.5262708244340026
      },"impressions": 27,"position": 60.55555555555556
      }
    ]
  }
}

这是我的json解析代码：

    SELECT 
                 JSON_FILE:page_desktop_image:responseAggregationType::String as responseAggregationType_desk_image,r_desk_image.value:clicks as clicks_desk_image,r_desk_image.value:ctr as ctr_desk_image,r_desk_image.value:impressions as impressions_desk_image,array_to_string(r_desk_image.value:keys,'') as keys_desk_image,r_desk_image.value:position as position_desk_image,JSON_FILE:page_desktop_video:responseAggregationType::String as responseAggregationType_desk_video,r_desk_video.value:clicks as clicks_desk_video,r_desk_video.value:ctr as ctr_desk_video,r_desk_video.value:impressions as impressions_desk_video,array_to_string(r_desk_video.value:keys,'') as keys_desk_video,r_desk_video.value:position as position_desk_video,JSON_FILE:page_desktop_web:responseAggregationType::String as responseAggregationType_desk_web,r_desk_web.value:clicks as clicks_desk_web,r_desk_web.value:ctr as ctr_desk_web,r_desk_web.value:impressions as impressions_desk_web,array_to_string(r_desk_web.value:keys,'') as keys_desk_web,r_desk_web.value:position as position_desk_web,JSON_FILE:page_mobile_image:responseAggregationType::String as responseAggregationType_mob_image,r_mob_image.value:clicks as clicks_mob_image,r_mob_image.value:ctr as ctr_mob_image,r_mob_image.value:impressions as impressions__mob_image,array_to_string(r_mob_image.value:keys,'') as keys_mob_image,r_mob_image.value:position as position_mob_image,JSON_FILE:page_mobile_video:responseAggregationType::String as responseAggregationType_mob_video,r_mob_video.value:clicks as clicks_mob_video,r_mob_video.value:ctr as ctr_mob_video,r_mob_video.value:impressions as impressions_mob_video,array_to_string(r_mob_video.value:keys,'') as keys_mob_video,r_mob_video.value:position as position_mob_video,JSON_FILE:page_mobile_web:responseAggregationType::String as responseAggregationType_mob_web,r_mob_web.value:clicks as clicks_mob_web,r_mob_web.value:ctr as ctr_mob_web,r_mob_web.value:impressions as impressions_mob_web,array_to_string(r_mob_web.value:keys,'') as keys_mob_web,r_mob_web.value:position as position_mob_web,JSON_FILE:page_tablet_image:responseAggregationType::String as responseAggregationType_tab_image,r_tab_image.value:clicks as clicks_tab_image,r_tab_image.value:ctr as ctr_tab_image,r_tab_image.value:impressions as impressions_tab_image,array_to_string(r_tab_image.value:keys,'') as keys_tab_image,r_tab_image.value:position as position_tab_image,JSON_FILE:page_tablet_video:responseAggregationType::String as responseAggregationType_tab_video,r_tab_video.value:clicks as clicks_tab_video,r_tab_video.value:ctr as ctr_tab_video,r_tab_video.value:impressions as impressions_tab_video,array_to_string(r_tab_video.value:keys,'') as keys_tab_video,r_tab_video.value:position as position_tab_video,JSON_FILE:page_tablet_web:responseAggregationType::String as responseAggregationType_tab_web,r_tab_web.value:clicks as clicks_tab_web,r_tab_web.value:ctr as ctr_tab_web,r_tab_web.value:impressions as impressions_tab_web,array_to_string(r_tab_web.value:keys,'') as keys_tab_web,r_tab_web.value:position as position_tab_web
              from GSC_JSONS,lateral flatten(input => JSON_FILE:page_desktop_image:rows) as r_desk_image,lateral flatten(input => JSON_FILE:page_desktop_video:rows) as r_desk_video,lateral flatten(input => JSON_FILE:page_desktop_web:rows) as r_desk_web,lateral flatten(input => JSON_FILE:page_mobile_image:rows) as r_mob_image,lateral flatten(input => JSON_FILE:page_mobile_video:rows) as r_mob_video,lateral flatten(input => JSON_FILE:page_mobile_web:rows) as r_mob_web,lateral flatten(input => JSON_FILE:page_tablet_image:rows) as r_tab_image,lateral flatten(input => JSON_FILE:page_tablet_video:rows) as r_tab_video,lateral flatten(input => JSON_FILE:page_tablet_web:rows) as r_tab_web

如果有人知道解决方法，请告诉我。我知道为什么它很慢，因为它对每个对象进行交叉连接，但我想更快地执行它。

解决方法

我建议您在展平输出的顶部制作物化视图。 https://docs.snowflake.com/en/user-guide/views-materialized.html

CREATE MATERIALIZED VIEW myview AS
SELECT 
    JSON_FILE:page_desktop_image:responseAggregationType::String as responseAggregationType_desk_image,r_desk_image.value:clicks as clicks_desk_image,r_desk_image.value:ctr as ctr_desk_image,r_desk_image.value:impressions as impressions_desk_image,array_to_string(r_desk_image.value:keys,'') as keys_desk_image,r_desk_image.value:position as position_desk_image,JSON_FILE:page_desktop_video:responseAggregationType::String as responseAggregationType_desk_video,r_desk_video.value:clicks as clicks_desk_video,r_desk_video.value:ctr as ctr_desk_video,r_desk_video.value:impressions as impressions_desk_video,array_to_string(r_desk_video.value:keys,'') as keys_desk_video,r_desk_video.value:position as position_desk_video,JSON_FILE:page_desktop_web:responseAggregationType::String as responseAggregationType_desk_web,r_desk_web.value:clicks as clicks_desk_web,r_desk_web.value:ctr as ctr_desk_web,r_desk_web.value:impressions as impressions_desk_web,array_to_string(r_desk_web.value:keys,'') as keys_desk_web,r_desk_web.value:position as position_desk_web,JSON_FILE:page_mobile_image:responseAggregationType::String as responseAggregationType_mob_image,r_mob_image.value:clicks as clicks_mob_image,r_mob_image.value:ctr as ctr_mob_image,r_mob_image.value:impressions as impressions__mob_image,array_to_string(r_mob_image.value:keys,'') as keys_mob_image,r_mob_image.value:position as position_mob_image,JSON_FILE:page_mobile_video:responseAggregationType::String as responseAggregationType_mob_video,r_mob_video.value:clicks as clicks_mob_video,r_mob_video.value:ctr as ctr_mob_video,r_mob_video.value:impressions as impressions_mob_video,array_to_string(r_mob_video.value:keys,'') as keys_mob_video,r_mob_video.value:position as position_mob_video,JSON_FILE:page_mobile_web:responseAggregationType::String as responseAggregationType_mob_web,r_mob_web.value:clicks as clicks_mob_web,r_mob_web.value:ctr as ctr_mob_web,r_mob_web.value:impressions as impressions_mob_web,array_to_string(r_mob_web.value:keys,'') as keys_mob_web,r_mob_web.value:position as position_mob_web,JSON_FILE:page_tablet_image:responseAggregationType::String as responseAggregationType_tab_image,r_tab_image.value:clicks as clicks_tab_image,r_tab_image.value:ctr as ctr_tab_image,r_tab_image.value:impressions as impressions_tab_image,array_to_string(r_tab_image.value:keys,'') as keys_tab_image,r_tab_image.value:position as position_tab_image,JSON_FILE:page_tablet_video:responseAggregationType::String as responseAggregationType_tab_video,r_tab_video.value:clicks as clicks_tab_video,r_tab_video.value:ctr as ctr_tab_video,r_tab_video.value:impressions as impressions_tab_video,array_to_string(r_tab_video.value:keys,'') as keys_tab_video,r_tab_video.value:position as position_tab_video,JSON_FILE:page_tablet_web:responseAggregationType::String as responseAggregationType_tab_web,r_tab_web.value:clicks as clicks_tab_web,r_tab_web.value:ctr as ctr_tab_web,r_tab_web.value:impressions as impressions_tab_web,array_to_string(r_tab_web.value:keys,'') as keys_tab_web,r_tab_web.value:position as position_tab_web
FROM gsc_jsons,lateral flatten(input => JSON_FILE:page_desktop_image:rows) as r_desk_image,lateral flatten(input => JSON_FILE:page_desktop_video:rows) as r_desk_video,lateral flatten(input => JSON_FILE:page_desktop_web:rows) as r_desk_web,lateral flatten(input => JSON_FILE:page_mobile_image:rows) as r_mob_image,lateral flatten(input => JSON_FILE:page_mobile_video:rows) as r_mob_video,lateral flatten(input => JSON_FILE:page_mobile_web:rows) as r_mob_web,lateral flatten(input => JSON_FILE:page_tablet_image:rows) as r_tab_image,lateral flatten(input => JSON_FILE:page_tablet_video:rows) as r_tab_video,lateral flatten(input => JSON_FILE:page_tablet_web:rows) as r_tab_web
,

如果我的回答对您有帮助，请将此答案标记为有用。

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