我有嵌套数组的 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。只有当行标签有很多对象时，查询才会变慢，如下所示，这个 json 查询在一分钟内执行，但是当我有 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,
"keys": [
"abc"
],
"position": 28.324468085106382
},
{
"clicks": 0,
"ctr": 0,
"impressions": 4,
"keys": [
"abc"
],
"position": 237.5
}
]
},
"page_desktop_video": {
"responseAggregationType": "byPage",
"rows": [
{
"clicks": 1,
"ctr": 0.038461538461538464,
"impressions": 26,
"keys": [
"abc"
],
"position": 4.5
},
{
"clicks": 0,
"ctr": 0,
"impressions": 19,
"keys": [
"abc"
],
"position": 6.947368421052632
}
]
},
"page_desktop_web": {
"responseAggregationType": "byPage",
"rows": [
{
"clicks": 8578,
"ctr": 0.28393631458740193,
"impressions": 30211,
"keys": [
"abc"
],
"position": 1.7217900764622156
},
{
"clicks": 0,
"ctr": 0,
"impressions": 22,
"keys": [
"abc"
],
"position": 12.318181818181818
}
]
},
"page_mobile_image": {
"responseAggregationType": "byPage",
"rows": [
{
"clicks": 3,
"ctr": 0.028037383177570093,
"impressions": 107,
"keys": [
"abc"
],
"position": 17.018691588785046
},
{
"clicks": 0,
"ctr": 0,
"impressions": 37,
"keys": [
"abcx"
],
"position": 38.4054054054054
}
]
},
"page_mobile_video": {
"responseAggregationType": "byPage",
"rows": [
{
"clicks": 2,
"ctr": 0.05128205128205128,
"impressions": 39,
"keys": [
"abc"
],
"position": 6.487179487179487
},
{
"clicks": 0,
"ctr": 0,
"impressions": 64,
"keys": [
"abc"
],
"position": 4.3125
}
]
},
"page_mobile_web": {
"responseAggregationType": "byPage",
"rows": [
{
"clicks": 3604,
"ctr": 0.1579385599719532,
"impressions": 22819,
"keys": [
"abc"
],
"position": 2.3936193522941407
},
{
"clicks": 0,
"ctr": 0,
"impressions": 12,
"keys": [
"abc"
],
"position": 6.583333333333333
}
]
},
"page_tablet_image": {
"responseAggregationType": "byPage",
"rows": [
{
"clicks": 1,
"ctr": 0.005649717514124294,
"impressions": 177,
"keys": [
"abc"
],
"position": 5.112994350282486
},
{
"clicks": 0,
"ctr": 0,
"impressions": 6,
"keys": [
"abc"
],
"position": 33.5
}
]
},
"page_tablet_video": {
"responseAggregationType": "byPage",
"rows": [
{
"clicks": 1,
"ctr": 0.1,
"impressions": 10,
"keys": [
"abc"
],
"position": 18.7
},
{
"clicks": 0,
"ctr": 0,
"impressions": 1,
"keys": [
"abc"
],
"position": 10
}
]
},
"page_tablet_web": {
"responseAggregationType": "byPage",
"rows": [
{
"clicks": 639,
"ctr": 0.2729602733874413,
"impressions": 2341,
"keys": [
"abc"
],
"position": 1.5262708244340026
},
{
"clicks": 0,
"ctr": 0,
"impressions": 27,
"keys": [
"abc"
],
"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，因为它为每个对象进行交叉连接，但我想更快地执行它。