JSON格式文件:
[{"id":"1","status":"0","jd_no":"2424234333"},{"id":"10","status":"0","jd_no":"2424114333"},{"id":"3","status":"0","jd_no":"2124234333"},{"id":"4","status":"0","jd_no":"2424231233"},{"id":"5","status":"0","jd_no":"1224234333"},{"id":"7","status":"0","jd_no":"2424231233"}]

select get_json_object(j_column,'$.id') as id,
get_json_object(j_column,'$.status') as status,
get_json_object(j_column,'$.jd_no') as jd_no
from
(SELECT split(regexp_replace(regexp_extract(t.json_column, '(\\[)(.*?)(\\])', 2), '\\},\\{', '\\}|\\{'), '\\|') AS json_column
FROM (
SELECT '[{"id":"1","status":"0","jd_no":"2424234333"},{"id":"10","status":"0","jd_no":"2424114333"},{"id":"3","status":"0","jd_no":"2124234333"},{"id":"4","status":"0","jd_no":"2424231233"},{"id":"5","status":"0","jd_no":"1224234333"},{"id":"7","status":"0","jd_no":"2424231233"}]' AS json_column
) t
) a
lateral view explode(json_column) b as j_column;

该内容涉及使用SQL对JSON格式的数据进行操作,包括提取特定字段如'id'、'status'和'jd_no',通过split、regexp_replace和regexp_extract等函数进行数据拆分和清洗。博客着重展示了如何在复杂JSON字符串中提取信息。
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