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Additionally there is a single-row version, UPDATE OR INSERT INTO tablename (columns) VALUES (values) [MATCHING (columns)], but the latter does not give you the option to take different actions on insert versus update (e.g. setting a new sequence value only for new rows, not for existing ones.)
The time may be left out, but there is no way to define a variable that only contains the time. There is no DATETIME type. And there is a TIME type. But there is no TIMESTAMP type that can contain fine-grained timestamp up to millisecond or nanosecond. The TO_DATE function can be used to convert strings to date values. The function converts the ...
There is no necessary relationship between schemas and tablespaces: a tablespace can contain objects from different schemas, and the objects for a single schema can reside in different tablespaces. Oracle database specificity does, however, enforce platform recognition of nonhomogenized sequence differentials, which is considered a crucial ...
There's no need to cover your meatloaf. Keeping it uncovered helps achieve a nice exterior. Let the meatloaf rest before serving to ensure nice slices. Otherwise, it may fall apart when you cut it.
If there are multiple columns select the top left data cell (not the header cell or this will not work). Then Shift-click on the bottom right data cell. This will select all the data cells. Don't select any text or date cells. Or deselect just the text or date cells by ctrl-click. Click "number format" from the format menu. Then click ...
A masked man argued with a pair of teens at a Staten Island bagel store early Sunday, then followed them home and knifed them and another teenager, cops and law-enforcement sources said.
The man involved in the death of hockey player Adam Johnson has spoken out about the incident for the first time via a crowdfunding request for help with his legal fees.
Only Oracle, DB2, Spark/Hive, and Google Big Query fully implement this feature. More recently, vendors have added new extensions to the standard, e.g. array aggregation functions. These are particularly useful in the context of running SQL against a distributed file system (Hadoop, Spark, Google BigQuery) where we have weaker data co-locality ...