Nice, seriously dont have any idea. Because you wrote without time information, and SQL must attach default So it must be worked. If it says 'One record changed' then perhaps you need to show us how you verify Remus Rusanu Remus Rusanu k 39 39 gold badges silver badges bronze badges.
The date format is why I was thinking being explicit about the conversion would be a good idea This worked for me and saved me a few steps because the field I'm converting was already using this format, i. Aaron Bertrand k 36 36 gold badges silver badges bronze badges. Moe Sisko Moe Sisko Evgeny Sobolev Evgeny Sobolev 4 4 silver badges 13 13 bronze badges. That should work, I'd put brackets around [Date] as it's a reserved keyword.
OriginalOcto OriginalOcto 21 1 1 bronze badge. Is there maybe a trigger on the table setting it back? Gratzy Gratzy 8, 4 4 gold badges 27 27 silver badges 44 44 bronze badges. The Overflow Blog. Podcast Making Agile work for data science. Stack Gives Back Featured on Meta. How to insert or update data in an SQL Server table with a simple query? Here are two simple solutions to execute an update or insert and avoid errors. The SQL Server error …. How to create a table partition in SQL Server?
So, this table have a column that stores the year of the sale and the table …. January 13, Facebook Twitter Youtube. Example insert update. We have an automated process to load exchange rates into a SQL Server database using a backend process. We found that it loaded almost all of the records perfectly except for a few records, for which it chose some random years when loading the data into the table. The day and month are correct, only the year was different.
It is still an unresolved mystery, but the main problem was how to update the dates to the correct year with minimal effort in SQL Server. If you look closely, the year is not the current year.
The year for rows 5 through row 18 should be Use the below query to see if we are getting the desired results. We are replacing the year portion of the date with "". If you look closely you will see the difference as highlighted. Make sure you use a WHERE clause to ensure you are not updating the entire table and only the desired columns are getting updated. Also, you might also want to create a table backup before you update the records.
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