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Warning Text values (string literals) are enclosed in 'single quotes' or "double quotes" while numbers are not. Task 5: Show only the Top 5 performers (starting with the highest scorer).Ĭopy to clipboard select * order by H desc limit 5 Corporate (Ranking for: Departmental contest, Grants / funding, promotion, etc.
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Education (Top 10 students, Top 100 applicants, Scholarship recipients, etc.).Task 4: Display everything then sort by Complexity in reverse alphabetical order, then by Complexity Level.Ĭopy to clipboard select * order by J desc, IĮxplanation: Select all columns and sort the rows by the values in column J (Complexity) in descending order (Tough, Intermediate, Easy), then by the values in column I (Complexity Level) in ascending order.ĭisplay only the top-ranked items with applications in: Info To save time, you can omit asc altogether since the Query output is arranged in ascending order by default (low-high or a-z). We are going to use three different Awesome Table apps to explain how Query clauses work. Hands-on examples using the Query expression syntax In the sidebar, open the Advanced parameters section. label C 'Top 10' - fnally, label column C as Top 10ġ.limit 10 - then display only the first 10 items.order by C desc - sort the numeric entries on column C in descending order (highest to lowest).where C >= 90 - only display entries in column C whose value is greater than or equal to 90.select * - use all columns in the data source.If omitted, all rows are returned.Įxample using all five clauses listed above, following the prescribed sequence or order: select * where C >= 90 order by C desc limit 10 label C 'Top 10'
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Returns only rows that match a condition. If omitted, all of the table's columns are returned, in their default order (from top to bottom). So ALWAYS use parameterized queries! Or be prepared to restore your DB from backup frequently.Selects which columns to return, and in what order. So it does: selects any matching rows, deletes the table from the DB, and ignores anything else. SELECT * FROM MyTable WHERE StreetAddress = 'x' A perfectly valid SELECTĭROP TABLE MyTable A perfectly valid "delete the table" command SELECT * FROM MyTable WHERE StreetAddress = 'x' DROP TABLE MyTable -'Which SQL sees as three separate commands: If I come along and type this instead: "x' DROP TABLE MyTable -" Then SQL receives a very different command: SELECT * FROM MyTable WHERE StreetAddress = 'Baker's Wood'The quote the user added terminates the string as far as SQL is concerned and you get problems. When you concatenate strings, you cause problems because SQL receives commands like: It leaves you wide open to accidental or deliberate SQL Injection attack which can destroy your entire database. Never concatenate strings to build a SQL command. Never do that - it's extremely dangerous. At the moment, if a client changes his mobile, how do you know which row to UPDATE?
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You should have an ID column - IDENTITY is fine - to give you an absolute reference to the column when you need to change it.
Sql only select from current date up to 90 days update#
Start by looking at your data - until you CONVERT it it has no formatting info at all, it's stored as "ticks since a specific point in time" rather than years, months, and days - and get that right (I'd use C# or VB to read the row, make sure it's right, and UPDATE sql where necessary)īut looking at your database definition from your comments below, there are other problems here.ĭon't store TIME info separately from DATE, and always store DATETIME info in UCT, not local time - that way when the local "summer" or "daylight saving" time comes in or out, your DB doesn't get filled with inconsistent data.ĭon't store "client type" as a string, create a second table, and use a foreign key to index it.ġ00 chars is not a good idea for Mobile numbers, or email - in one case it's too big, in the other it's too small! So when you changed your NVARCHAR column to DATETIME, SQL had to try and work out what each date was. That's why you can't store dates as NVARCHAR - when SQL has to convert them back, it will guess what format it is, and most likely get it wrong, in some cases if not all.