BigQuery解析带有特殊字符的json子列

to94eoyn  于 2024-01-09  发布在  其他
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我已经将整个json文件加载到BigQuery表的一个STRING列中。现在我试图使用JSON_EXTRACT_SCALAR函数访问键，但我得到的子键结果为空，这些子键的名称中包含特殊字符句点（“.”）。
以下是数据片段：

{"server_received_time":"2019-01-17 15:00:00.482000","app":161,"device_carrier":null,"$schema":12,"city":"Caro","user_id":null,"uuid":"9018","event_time":"2019-01-17 15:00:00.045000","platform":"Web","os_version":"49","vendor_id":711,"processed_time":"2019-01-17 15:00:00.817195","user_creation_time":"2018-11-01 19:16:34.971000","version_name":null,"ip_address":null,"paying":null,"dma":null,"group_properties":{},"user_properties":{"location.radio":"ca","vendor.userTier":"free","vendor.userID":"a989","user.id":"a989","user.tier":"free","location.region":"ca"},"client_upload_time":"2019-01-17 15:00:00.424000","$insert_id":"e8410","event_type":"LOADED","library":"amp\/4.5.2","vendor_attribution_ids":null,"device_type":"Mac","device_manufacturer":null,"start_version":null,"location_lng":null,"server_upload_time":"2019-01-17 15:00:00.493000","event_id":64,"location_lat":null,"os_name":"Chrome","vendor_event_type":null,"device_brand":null,"groups":{},"event_properties":{"content.authenticated":false,"content.subsection1":"regions","custom.DNT":true,"content.subsection2":"ca","referrer.url":"","content.url":"","content.type":"index","content.title":"","custom.cookiesenabled":true,"app.pillar":"feed","content.area":"news","app.name":"oc"},"data":{},"device_id":"","language":"English","device_model":"Mac","country":"","region":"","is_attribution_event":false,"adid":null,"session_id":15,"device_family":"Mac","sample_rate":null,"idfa":null,"client_event_time":"2019-01-17 14:59:59.987000"}
{"server_received_time":"2019-01-17 15:00:00.913000","app":161,"device_carrier":null,"$schema":12,"city":"Fo","user_id":null,"uuid":"9052","event_time":"2019-01-17 15:00:00.566000","platform":"Web","os_version":"71","vendor_id":797,"processed_time":"2019-01-17 15:00:01.301936","user_creation_time":"2019-01-17 15:00:00.566000","version_name":null,"ip_address":null,"paying":null,"dma":"CO","group_properties":{},"user_properties":{"user.tier":"free"},"client_upload_time":"2019-01-17 15:00:00.157000","$insert_id":"69ae","event_type":"START WEB SESSION","library":"amp\/4.5.2","vendor_attribution_ids":null,"device_type":"Android","device_manufacturer":null,"start_version":null,"location_lng":null,"server_upload_time":"2019-01-17 15:00:00.925000","event_id":1,"location_lat":null,"os_name":"Chrome Mobile","vendor_event_type":null,"device_brand":null,"groups":{},"event_properties":{"content.subsection3":"home","content.subsection2":"archives","content.title":"","content.keywords.subject":["Lifestyle\/Recreation and leisure\/Outdoor recreation\/Boating","Lifestyle\/Relationships\/Couples","General news\/Weather","Oddities"],"content.publishedtime":154687,"app.name":"oc","referrer.url":"","content.subsection1":"archives","content.url":"","content.authenticated":false,"content.keywords.location":["Ot"],"content.originaltitle":"","content.type":"story","content.authors":["Archives"],"app.pillar":"feed","content.area":"news","content.id":"1.49","content.updatedtime":1546878600538,"content.keywords.tag":["24 1","boat house","Ot","Rockcliffe","River","m"],"content.keywords.person":["Ber","Shi","Jea","Jean\u00e9tien"]},"data":{"first_event":true},"device_id":"","language":"English","device_model":"Android","country":"","region":"","is_attribution_event":false,"adid":null,"session_id":15477,"device_family":"Android","sample_rate":null,"idfa":null,"client_event_time":"2019-01-17 14:59:59.810000"}
{"server_received_time":"2019-01-17 15:00:00.913000","app":16,"device_carrier":null,"$schema":12,"city":"","user_id":null,"uuid":"905","event_time":"2019-01-17 15:00:00.574000","platform":"Web","os_version":"71","vendor_id":7973,"processed_time":"2019-01-17 15:00:01.301957","user_creation_time":"2019-01-17 15:00:00.566000","version_name":null,"ip_address":null,"paying":null,"dma":"DCO","group_properties":{},"user_properties":{"user.tier":"free"},"client_upload_time":"2019-01-17 15:00:00.157000","$insert_id":"d045","event_type":"LOADED","library":"am-js\/4.5.2","vendor_attribution_ids":null,"device_type":"Android","device_manufacturer":null,"start_version":null,"location_lng":null,"server_upload_time":"2019-01-17 15:00:00.925000","event_id":2,"location_lat":null,"os_name":"Chrome Mobile","vendor_event_type":null,"device_brand":null,"groups":{},"event_properties":{"content.subsection3":"home","content.subsection2":"archives","content.subsection1":"archives","content.keywords.subject":["Lifestyle\/Recreation and leisure\/Outdoor recreation\/Boating","Lifestyle\/Relationships\/Couples","General news\/Weather","Oddities"],"content.type":"story","content.keywords.location":["Ot"],"app.pillar":"feed","app.name":"oc","content.authenticated":false,"custom.DNT":false,"content.id":"1.4","content.keywords.person":["Ber","Shi","Jea","Je\u00e9tien"],"content.title":"","content.url":"","content.originaltitle":"","custom.cookiesenabled":true,"content.authors":["Archives"],"content.publishedtime":1546878600538,"referrer.url":"","content.area":"news","content.updatedtime":1546878600538,"content.keywords.tag":["24 1","boat house","O","Rockcliffe","River","pr"]},"data":{},"device_id":"","language":"English","device_model":"Android","country":"","region":"","is_attribution_event":false,"adid":null,"session_id":1547737199081,"device_family":"Android","sample_rate":null,"idfa":null,"client_event_time":"2019-01-17 14:59:59.818000"}

字符串
下面是针对表的示例查询：

SELECT
 CAST(JSON_EXTRACT_SCALAR(data,'$.uuid')AS INT64) AS uuid_id,
 CAST(JSON_EXTRACT_SCALAR(data,'$.event_time') AS TIMESTAMP) AS event_time,
 JSON_EXTRACT_SCALAR(data,'$[event_properties].app.name') AS app_name,
 JSON_EXTRACT_SCALAR(data,'$[user_properties].user.tier') AS user_tier
FROM
   mytable

型
上面的查询给予空的app_name和user_tier列的结果，即使它们存在数据。
遵循BigQuery JSON函数文档-JSON Functions in Standard SQL

如果JSON键使用了无效的JSONPath字符，您可以使用单引号和方括号[' ']对这些字符进行转义。

并运行查询：

SELECT
 CAST(JSON_EXTRACT_SCALAR(data,"$.uuid_id")AS INT64) AS uuid_id,
 CAST(JSON_EXTRACT_SCALAR(data,"$.event_time") AS TIMESTAMP) AS event_time,
 JSON_EXTRACT_SCALAR(data,"$.event_properties.['app.name']") AS app_name,
 JSON_EXTRACT_SCALAR(data,"$.user_properties.['user.tier']") AS user_tier
FROM
 mytable

型
导致以下错误：

JSONPath中的标记无效，位于：.'app.name']

请建议。我错过了什么？

JSON

2条答案

按热度按时间
wqsoz72f

wqsoz72f1#

在[之前有一个额外的.。使用

"$.event_properties['app.name']"

字符串

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j0pj023g

j0pj023g2#

这看起来像振幅数据。我已经让这个工作为我的数据集，但仍在探索，看看是否可以找到一个更优雅的解决方案。

CREATE TEMP FUNCTION GetValueForKey(json_str STRING, key_name STRING)
RETURNS STRING
LANGUAGE js AS """
  var json = JSON.parse(json_str);
  return json[key_name] || '';
""";
SELECT
  GetValueForKey(TO_JSON_STRING(event_properties), '[Amplitude] Page Location') AS amplitude_page_location
FROM `my_export_name`;

字符串

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