Sql-server – Database design – load multiple excels daily

Yes, there is a pretty big pitfall you're going to run into fairly quickly, and that is with the size and maintenance of the tables. You are somewhat on the right track by saying that you want to put your data into a temporary table daily, and then move it into your permanent table, but you'll soon run into trouble with this scheme.

For example, let's say you want to "roll off" the oldest month's worth of data after two years. In your design, you would have to issue a DELETE statement against your big, big table. This will likely be somewhat slow, depending on the number of indexes you have. Also, it will cause index fragmentation, and the only way to fix that would be to rebuild or reorganize the indexes on this very large table which would also cause performance problems. There are a whole host of other issues with a big single table type design as well. For example, with a big, single table, you can't do FILEGROUP based backups, which means that if you want to have a full backup of your database, it's gonna be BIG, and it's gonna take a LONG time to complete.

What's the solution? Table partitioning. Read about this in depth, in as many places as you can. Basically, partitioning allows you to split up your data onto "tables within tables" -- each partition shares the same schema, and is accessed through the table object, but can be indexed and maintained differently. Partitions are basically tables, cut up by some useful key. In your case it will likely be date. They can be dropped just like (and just as fast as) tables, which means that if you partition your big data tables by date, you can simply drop old partitions instantly, with no adverse effect to the indexes on any of the other partitions. You can put partitions on different filegroups, which means that older partitions can be rolled off, or rolled on to cheaper commodity storage if it's not commonly used. Last but not least, in SQL 2012 you'll be able to create COLUMNSTORE type indexes on your older, read-only partitions, while having a different, more insert-oriented indexing scheme on the active partition where you're inserting all your sensor data.

Hope this helps. You have a good amount of research to do regarding partitioning and partitioning schemes, but hopefully now you know the direction you need to be looking.

P.S.: Oh, and I forgot your bulleted list of questions... Answer 1, 2, and 5. See above. Answer 3: In SQL Server, you can compress on a partition by partition basis, so compress your older partitions aggressively using PAGE compression. But I believe your out-of-row large data types will not be compressed if you do this -- again, you may want to alleviate this problem by normalizing your sensor values. Answer 4: Absolutely not, but if all you want to do is store static data by day and never search on it any other way, compressed flat files may be a much easier way to go.

P.P.S: Oh, and another thing. You don't need your two-table solution to make this all work. Large binary sensor data should be of type VARBINARY(MAX) because its values can be stored "out of row" but still be a column in a single table (see the sp_tableoption documentation). You may want to consider normalizing some of your sensor data out of the binary data you have in the table, though, because your database won't be good for much beyond retrieving chunks of sensor data by time if you don't.

What you are doing here is called specialization.

You can look at this answer to a similar question at stackoverflow which will point you in the right direction. I've implemented a slightly modified version with success.

*An other option (that I do not advise!!) is the use of EAV. *

Edit: I've created an example for your situation. (Don't mind the sample data ;) )

CREATE TABLE EventType (
EventTypeID INT NOT NULL PRIMARY KEY,   
EventType VARCHAR(200) NOT NULL   
);

INSERT INTO EventType (EventTypeID, EventType) VALUES (1, 'Play Rockband'),(2, 'Play Call of Duty');

CREATE TABLE Event (
    EventID INT NOT NULL PRIMARY KEY,
    EventTypeID INT NOT NULL,
    Event VARCHAR(200) NOT NULL,
    CONSTRAINT UQ_Event UNIQUE (EventID, EventTypeID),
CONSTRAINT FK_Event_EventType FOREIGN KEY (EventTypeID) REFERENCES EventType(EventTypeID)
);

INSERT INTO Event (EventID, EventTypeID, Event) VALUES (1, 1, 'Play the bass'),(2, 2, 'Sniper!');

CREATE TABLE SpecialEvent1 (
    EventID INT NOT NULL PRIMARY KEY,
    EventTypeID INT NOT NULL,
    Extrafield VARCHAR(200) NOT NULL,
/* Restrict to only insert SpecialEvent1 */
CONSTRAINT CHK_EventTypeID_1 CHECK (EventTypeID = 1),  
/* Check if event exists */  
CONSTRAINT FK_SpecialEvent1_Event FOREIGN KEY (EventID, EventTypeID) REFERENCES Event(EventID, EventTypeID)
);

INSERT INTO SpecialEvent1 (EventID, EventTypeID, Extrafield) VALUES (1, 1, 'Expert');

CREATE TABLE SpecialEvent2 (
    EventID INT NOT NULL PRIMARY KEY,
    EventTypeID INT NOT NULL,
    Extrafield2 VARCHAR(200) NOT NULL,
Extrafield3 VARCHAR(200) NOT NULL,
/* Restrict to only insert SpecialEvent2 */
CONSTRAINT CHK_EventTypeID_2 CHECK (EventTypeID = 2),  
/* Check if event exists */    
CONSTRAINT FK_SpecialEvent2_Event FOREIGN KEY (EventID, EventTypeID) REFERENCES Event(EventID, EventTypeID)
);

INSERT INTO SpecialEvent2 (EventID, EventTypeID, Extrafield2, Extrafield3) VALUES (2, 2, 'Character X', 'Team Z');

You can query the events like this:

SELECT EventType.Eventtype AS [Type of event], Event.Event, SpecialEvent1.Extrafield AS Difficulty
FROM Event
INNER JOIN EventType ON Event.EventTypeID = EventType.EventTypeID
INNER JOIN SpecialEvent1 ON Event.EventID =  SpecialEvent1.EventID AND Event.EventTypeID = SpecialEvent1.EventTypeID;

SELECT EventType.Eventtype AS [Type of event], Event.Event [Play As], SpecialEvent2.Extrafield2 AS Character, SpecialEvent2.Extrafield3 AS Team
FROM Event
INNER JOIN EventType ON Event.EventTypeID = EventType.EventTypeID
INNER JOIN SpecialEvent2 ON Event.EventID =  SpecialEvent2.EventID AND Event.EventTypeID = SpecialEvent2.EventTypeID;

SQL Fiddle: http://sqlfiddle.com/#!6/d1911/1/0