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  1. The @CustID means it's a parameter that you will supply a value for later in your code. This is the best way of protecting against SQL injection. Create your query using parameters, rather than concatenating strings and variables. The database engine puts the parameter value into where the placeholder is, and there is zero chance for SQL injection.

  2. Apr 6, 2009 · 46. Yes; Microsoft themselves recommend using <> over != specifically for ANSI compliance, e.g. in Microsoft Press training kit for 70-461 exam, "Querying Microsoft SQL Server", they say "As an example of when to choose the standard form, T-SQL supports two “not equal to” operators: <> and !=. The former is standard and the latter is not.

  3. Unfortunately, string concatenation is not completely portable across all sql dialects: ansi sql: || (infix operator) mysql: concat ( vararg function ). caution: || means 'logical or' (It's configurable, however; thanks to @hvd for pointing that out) oracle: || (infix operator), concat ( caution: function of arity 2 only !

  4. Option 4: Common Table Expression with ROW_NUMBER () In the Common Table Expression (CTE), select the ROW_NUMBER (), partitioned by the group column and ordered in the desired order. Then SELECT only the records that have ROW_NUMBER() = 1: WITH CTE AS (. SELECT *. ,row_number() OVER(PARTITION BY word, num ORDER BY id) AS row_num. FROM dupes.

  5. Sep 15, 2008 · See working demo: if then without case in SQL Server. For start, you need to work out the value of true and false for selected conditions. Here comes two NULLIF: for true: ISNULL(NULLIF(p.[Instock], 'Y'), 1) for false: ISNULL(NULLIF(p.[Instock], 'N'), 0) combined together gives 1 or 0. Next use bitwise operators.

  6. May 31, 2023 · If you are using Oracle Database then you can achieve this using a contains query. Contains queries are faster than like queries. If you need all of the words. SELECT * FROM MyTable WHERE CONTAINS(Column1,'word1 and word2 and word3', 1) > 0. If you need any of the words.

  7. Mar 23, 2017 · as 'Throughput-run_1_8_11' is invalid SQL. Single quotes are for string literals. Double quotes are for ...

  8. HAVING COUNT(*) > 1. The GROUP BY clause groups the rows into groups by values in both name and email columns. Then, the COUNT () function returns the number of occurrences of each group (name,email). Then, the HAVING clause keeps only duplicate groups, which are groups that have more than one occurrence. 2.

  9. Apr 25, 2011 · You have missed out the field name id in the second NOT LIKE. Try: SELECT * FROM transactions WHERE id NOT LIKE '1%' AND id NOT LIKE '2%'. The AND in the where clause joins 2 full condition expressions such as id NOT LIKE '1%' and can't be used to list multiple values that the id is 'not like'. answered Nov 19, 2009 at 11:40.

  10. I simply use this when ever I need to work out a percentage.. ROUND (CAST ( (Numerator * 100.0 / Denominator) AS FLOAT), 2) AS Percentage. Note that 100.0 returns 1 decimal, whereas 100 on it's own will round up the result to the nearest whole number, even with the ROUND (...,2) function! edited Mar 2, 2021 at 1:23.

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