套用新增 __$command_id 資料行的 SQL 修正之後,Attunity CDC 會停止運作 Oracle 資料表 cdc.table_name 的中繼資料驗證失敗。 資料行 column_name 索引超出範圍。 而此問題:當您使用 Cdc for Oracle by Attunity 時,Oracle CDC 服務會顯示中止狀態 已於SQL Server 2014 RTM 的...
manager.SqlManager.execute(SqlManager.java:771) at org.apache.sqoop.manager.SqlManager.getColumnInfoForRawQuery(SqlManager.java:270) at org.apache.sqoop.manager.SqlManager.getColumnTypesForRawQuery(SqlManager.java:241) at org.apache.sqoop.manager.SqlManager.getColumnTypes(SqlManager.java:227) at ...
示例(Transact-SQL)此示例更改了 Oracle 数据类型为 NUMBER 的列,以将该列映射到 SQL Server 数据类型 numeric(38,38),而非默认的数据类型 float。SQL 复制 EXEC sp_changearticlecolumndatatype @publication = 'OraPublication', @publisher = 'OraPublisher', @article...
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Use a hierarchical query and the SYS_CONNECT_BY_PATH( column_name, delimiter ) function: Oracle 18 Setup: create table family_tree ( child varchar(10), parent varchar(10) ); INSERT INTO family_tree ( child, parent ) SELECT 'B', 'A' FROM DUAL UNION ALL SELECT 'C', 'B' FROM DUAL...
select NVL(column1, '0') column1 from table1 where NVL(column1, '0') <=1 But it seems like a long way round to get the value to show correctly with a Where clause Any ideas what i'm doing wrong? Thanks in advance sql oracle-database oracle11g Share Improve this question Follow...
This is important if you define a SQL Server column as NOT NULL, and are replicating the column to an Oracle Subscriber. To avoid failures when applying changes to the Oracle Subscriber, you must do one of the following: Ensure that empty strings are not inserted into the published table ...
$select string Specific fields to retrieve from entries (default = all). Returns The outputs of this operation are dynamic. Get tablesOperation ID: GetTables This operation gets tables from a database. Returns Represents a list of tables. Body TablesList Insert...
若要查看 Oracle 中的值是否在支援的日期範圍內,請執行select dump(<column name>)。 若要了解結果中的位元組序列,請參閱如何將日期儲存在 Oracle 中?。 使用自我裝載整合運行時間 5.36.8726.3 版或更高版本時,新增安全演算法 徵兆:當您使用自我裝載整合運行時間 5.36.8726.3 版或更高版本時,您會遇到此錯誤訊...
sql SELECT salesperson, SUM(amount) FROM sales_records WHERE amount 100 GROUP BY salesperson HAVING SUM(amount) 5000; 这样就清楚地展示了WHERE和HAVING在不同场景下的用法。通过这些例子,咱们就能更好地掌握GROUP BY、HAVING这些强大的功能啦,在处理数据时更加得心应手。 篇三 在销售数据统计场景中,咱们来看...