The UPDATE statement can be used to update a single column, a larger set of records (through the use of conditions), and/or the entire table in a database. Now I could do this one record at a time but SQL gives us the ability to update multiple (thousands upon thousands if need be) records at once through the UPDATE statement. One thing I find myself doing a great deal of is updating multiple records within a table. SQL Server is the preferred flavor of SQL that I use in my day to day activities at work, so the examples below will conform to those standards. ![]() Suffice it to say, SQL is not only alive and kicking, but thriving among today's development community. It's popularity is due, at least in part, to the simplicity of the language, the fact that it was built with relational data in mind, and because it's proven itself as reliable for searching, joining, and filtering data. To be clear, the SQL category was broken down into several subcategories that included MySQL, PostgreSQL, SQL Server, and so on, while the NoSQL category was broken apart into subcategories that contained MongoDB, Cassandra, etc.Įven in 2017, according to the Stack Overflow Developer's Survey, the second most popular language used was SQL (right behind JavaScript) with 50% of the 64,000 respondents saying they still use SQL in some form. In 2019, through the Scale Grid DeveloperWeek survey, SQL was used by 60.5% of respondents, while NoSQL was used by only 39.5 % of respondents. You might be thinking to yourself that such an "old" tool has its best days behind it, but you'd be far from correct. ![]() It is a strongly typed, static (types are checked before runtime) querying language that first appeared in 1974 (woah, 46 years old!), but was not initially released until 1986. ![]() SQL (pronounced Seequel) stands for Structured Query Language.
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