DB::Exception: Not found column c1 in block. Stack trace: 0. ./build_docker/../contrib/libcxx/include/exception:133: Poco::Exception::Exception(std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char> > const&, int) @ 0x512255aa in /home/ubuntu/...
Column not found: 1054 Unknown column 'paginationNode' What's the fix for this one? I have several feeds, and I don't really want to recreate them all. I'd love it if there were some way of properly migrating my data. Any suggestions?
DTS_E_BITASK_DESTINATION_TABLE_NOT_SPECIFIED 字段 DTS_E_BITASK_ERROR_IN_DB_OPERATION 字段 DTS_E_BITASK_ERROR_IN_LOAD_FROM_XML 字段 DTS_E_BITASK_ERROR_IN_SAVE_TO_XML 字段 DTS_E_BITASK_EXECUTE_FAILED 字段 DTS_E_BITASK_EXECUTION_FAILED 字段 DTS_E_BITASK_HANDLER_NOT_FOUND 字段 DTS_E...
DTS_E_BITASK_DESTINATION_TABLE_NOT_SPECIFIED 欄位 DTS_E_BITASK_ERROR_IN_DB_OPERATION 欄位 DTS_E_BITASK_ERROR_IN_LOAD_FROM_XML 欄位 DTS_E_BITASK_ERROR_IN_SAVE_TO_XML 欄位 DTS_E_BITASK_EXECUTE_FAILED 欄位 DTS_E_BITASK_EXECUTION_FAILED 欄位 DTS_E_BITASK_HANDLER_NOT_FOUND 欄位 ...
DTS_E_BITASK_DESTINATION_TABLE_NOT_SPECIFIED DTS_E_BITASK_ERROR_IN_DB_OPERATION DTS_E_BITASK_ERROR_IN_LOAD_FROM_XML DTS_E_BITASK_ERROR_IN_SAVE_TO_XML DTS_E_BITASK_EXECUTE_FAILED DTS_E_BITASK_EXECUTION_FAILED DTS_E_BITASK_HANDLER_NOT_FOUND DTS_E_BITASK_INITIALI...
flink sql执行的时候,接收到上游的datastream数据对象是用map封装的,然后执行时报错:Column 'o7' not found in any table 如果不用实体对象去封装有什么解决办法吗? 参考回答: 你可以使用 map() 函数对数据进行转换,如下所示: val data = env.readTextFile("path/to/file") ...
JET_errColumnNotFound 嘗試對不存在的資料行編制索引。 嘗試在不存在的資料行上有條件地編制索引,也會產生此錯誤。 JET_errColumnRedundant 嘗試新增備援資料行。 每個資料表不應該有一個以上的自動遞增資料行,而且每個資料表不能有一個以上的版本資料行。
// Not found means that user didn't supply that column // family option AND we encountered column family add // record. Once we encounter column family drop record, // we will delete the column family from // column_families_not_found. ...
Columns, Descriptions, and Data Types NOTE Most columns contain a similar column with a prefix ofpost_Data feeds FAQfor more information. Previous updates to this table can be found on this page’scommit history on GitHub.
(This differs from the MySQL C API.) To reduce the possibility for error, it is recommended that you name all columns consistently using uppercase or lowercase. As with other database objects, Column object creation and attribute changes to existing columns done using the NDB API are not ...