1. json_extract json_extract函数用于从JSON字符串中提取子对象或数组。 sql SELECT json_extract(json_string, '$.path.to.json') AS extracted_json json_string:包含JSON数据的字符串。 '$.path.to.json':JSON路径表达式,用于指定要提取的部分。 2. json_extract_scalar json_extract_scalar函数与json_ex...
--用SQL语言,实现解析json变量字段内容。 select t1.*,json_extract_scalar(json_extract(replace(collect_log,'$',''),'$.properties'),'$.distinct_id') distinct_id,json_extract_scalar(json_extract(replace(collect_log,'$',''),'$.properties'),concat('$.',attr_key_value)),date_format(from...
,json_extract_scalar(json_item,'$.url')asuser_idfrom(selectA.id ,concat('{',replace(replace(B.json,'[{',''),'}]',''),'}')asjson_itemFROM(selectt1.id ,t1.image_filefromods_zj_q_closed_water_test_photo_requirement t1wheredb_namein('db_name') limit2) Acrossjoinunnest(split(i...
date_trunc('day',create_time) date_trunc('month',create_time) 14、json 解析 json数组的解析 json_extract_scalar(json_extract(replace(collect_log,'$',''),'$.zz_metadata'),'$.zz_session_start_sec') json普通解析 replace(json_extract_scalar(replace(collect_log,'$',''),'$.event'),'"...
put("json_extract_scalar", ""); // JSON_EXTRACT_SCALAR(json_doc, path) 从JSON文档返回基础类型数据,例如 Boolean, Number, String SQL_FUNCTION_MAP.put("json_insert", ""); // JSON_INSERT(json_doc, val) 将数据插入JSON文档 SQL_FUNCTION_MAP.put("json_keys", ""); // JSON_KEYS(json_...
trino> SELECT * FROM t CROSS JOIN UNNEST(ARRAY[ROW(json_extract_scalar(jsonstr, '$.name'), json_extract_scalar(jsonstr, '$.user_id'))]) x(a, b); jsonstr | a | b ---+---+--- {"user_id": 1000, "name": "Mateusz", "surname": "Gajewski"} | Mateusz | 1000 Note that...