common-close-0
BYDFi
Trade wherever you are!
header-more-option
header-global
header-download
header-skin-grey-0

What is the difference between 'not equal to' and 'not equal to' in SQL Server for cryptocurrency transactions?

avatarNoer AlvarezNov 28, 2021 · 3 years ago3 answers

In SQL Server for cryptocurrency transactions, what is the distinction between 'not equal to' and 'not equal to'? How do these operators differ in terms of their functionality and usage?

What is the difference between 'not equal to' and 'not equal to' in SQL Server for cryptocurrency transactions?

3 answers

  • avatarNov 28, 2021 · 3 years ago
    The 'not equal to' operators in SQL Server, namely '<>' and '!=', are used to compare two values and determine if they are not equal. While both operators serve the same purpose, they differ in terms of their compatibility with different data types. The '<>' operator is compatible with all data types, whereas the '!=' operator is only compatible with string and numeric data types. Therefore, if you are comparing values of different data types, it is recommended to use the '<>' operator to ensure accurate results.
  • avatarNov 28, 2021 · 3 years ago
    When it comes to cryptocurrency transactions in SQL Server, the 'not equal to' operators '<>' and '!=' work in the same way as in any other context. They are used to compare values and determine if they are not equal. However, it's important to note that these operators are case-sensitive when comparing string values. For example, 'BTC' <> 'btc' would return true, indicating that the two values are not equal. If you want a case-insensitive comparison, you can use the 'NOT LIKE' operator with the 'ILIKE' keyword.
  • avatarNov 28, 2021 · 3 years ago
    In the context of cryptocurrency transactions, the 'not equal to' operators '<>' and '!=' are commonly used in SQL Server queries to filter out specific transactions. For example, if you want to exclude transactions involving a certain cryptocurrency, you can use the '!=' operator to specify the cryptocurrency you want to exclude. This can be useful when analyzing transaction data and identifying patterns or trends. However, it's important to note that the usage of these operators may vary depending on the specific database schema and query requirements.