数组下标错误(ARRAY_SUBSCRIPT_ERROR) 22021 字符不被计算机命令系统识别(CHARACTER_NOT_IN_REPERTOIRE) 22008 日期时间字段溢出(DATETIME_FIELD_OVERFLOW) 22012 被零除(DIVISION_BY_ZERO) 22005 赋值中出错(ERROR_IN_ASSIGNMENT) 2200B 转义字符冲突(ESCAPE_CHARACTER_CONFLICT) 22022 指示器溢出(INDICATOR_OVERFLOW) 22...
例如，我们可以考虑一个查询，它涉及到书籍、作者、译者和编辑的数据表。这个查询的目的是展示所有书籍及...
(SELECT ARRAY_TO_STRING(ARRAY(SELECT ALT_LABEL||CASE WHEN COALESCE(LABEL,'') = '' THEN '' ELSE '('||LABEL||')' END FROM CNT_MEASUREMENT_TEMPLATE_SIZE WHERE PARENT_ID = MEASUREMENT_TEMPLATE.ID ORDER BY SEQ_NO),', ')); --- set sizes value for cnt_measurement_template whose sizes...
0,4); for v_d in CURSOR_1 loop if v_d.DUE_TO_THE_ANNUAL - this_yea...
解决方法:可以通过HoloWeb Query洞察排查是否有冲突的DDL,详情请参见Query洞察。后期尽量避免Query执行过程中有DDL冲突任务。 报错:query is cancelled Cannot find index full ID:xxx (table id: x, index id: x) in storages or it is deleting 问题原因:Query执行过程中,涉及到的表存在TRUNCATE或DROP等行为,...
SQLQuery<T> addScalar(String columnAlias, Type type) Deprecated. Declare a scalar query result. SQLQuery<T> addSynchronizedEntityClass(Class entityClass) Deprecated. Adds an entity for (a) auto-flush checking and (b) query result cache invalidation checking. SQLQuery<T> addSynchronizedEntityN...
SELECT - SQL is a versatile command for querying tables and can direct query results to an array. To send SELECT - SQL query results to an array, specify the INTO ARRAY clause with an array name. If the array doesn't exist, it is automatically created. If the array does exist, it ...
Query a JSON array in SQL sql 中存的json 为数组: [ {"Level":1,"Memo":"新用户"}, {"Level":2,"Memo":"真实用户"}] sql 怎么取?JSON_VALUE 需要'$[0].Level' 不灵活 解决方案: SELECT*FROMSetting cCROSSAPPLY OPENJSON(c.Value)WITH(LvINT'$.Level',MemoNVARCHAR(100)'$.Memo')ASjson...
When the query is asking for the closest rows based on a certain keyword (e.g., "AI field" or "criticizing"), you have to use this distance function to calculate the distance to the entity's array in the vector column and order by the distance to retrieve relevant rows. If the quest...
final_data=[]forstoryindata:title_embedding=generate_embeddings([story['Title']]).tolist()comments_string=story['Comments_String']ifcomments_string andisinstance(comments_string,str):max_length=tokenizer.model_max_length # Use the model's max token lengthiflen(comments_string.split())>max_leng...