User-friendliness – With CI_AI collations, you can reduce the number of comparisons that need to be made, which can help improve the performance of your applications.Better support for multilingual data retrievals – CI_AI collations are especially useful when working with multilingual data, because they allow you to sort and compare strings regardless of the case or accent marks within the linguistic difference between languages.Improved data retrievals – By ignoring case and accent marks, CI_AI collations can help to ensure that your data is correctly sorted and compared, even in cases where the linguistic rules for sorting or comparing strings can be complex or inconsistent.There are several reasons why you might consider using CI_AI collations in your Babelfish projects: However, with a CI_AI collation, they would be considered equal, because the collation ignores case and accent marks, rendering both strings identical. With CI_AS or CS_AS collation, these two strings would not be considered equal. This means that strings are treated equally for uppercase and lowercase but not for accent marks.įor example, consider the following two strings: José and jose. This means that strings are treated as equal if they have the same characters, regardless of their case or accent marks.ĬI_AS collations, are case-insensitive, and accent-sensitive. Permission to connect to your Babelfish cluster from SSMS.ĬI_AI collations are a type of collation that are designed to be both case-insensitive and accent-insensitive.You may get an error message for the conflict collation if you are not explicitly using the COLLATE clause on a Babelfish lower than version 2.1.2 Babelfish for Aurora PostgreSQL DB Cluster version 2.1.2 (PG 14.3) or later.You must meet the following prerequisites in order to use CI_AI collation with Babelfish: In this post, we walk through how to use CI_AI and CS_AI collations on Babelfish for Aurora PostgreSQL, allowing you to keep the support for Latin-based languages or any other language with accents. The default collations used in T-SQL and PostgreSQL SQL are not identical, we will have different behavior when filtering or sorting records and this can lead to semantic differences. However, if your application has the requirement of using accent-insensitive ( AI) collations, currently Babelfish doesn’t support accent-insensitive as a default collation, you need to use an alternative. The _as in this collation means is accent-sensitive, which means the database will distinguish between accented and non-accented characters, for example José is not equal to Jose. The default collation is sql_latin1_general_cp1_ci_as. Note: Currently, you will find 141 collations supported in Babelfish by querying fn_helpcollations(), but note that not all of them can be used as the default server collation (the 35 collations which are shown in the dropdown menu in the RDS console when creating the instance), however, you can use these collations when creating your object or in your expressions. ![]() You can also run the query SELECT * FROM fn_helpcollations() on Babelfish for the list of supported collations for your objects. ![]() A common case are names, when searching for a name in an application, a user may not type the correct name and ends up not finding the desired record, for example Joao or João, Jurgen or Jürgen.īabelfish for Aurora PostgreSQL supports 35 collations from SQL Server which can be used as a server or an object collation. ![]() ![]() This can be especially useful if you’re working with languages like Portuguese, French, Spanish, or other languages which use accents on certain letters. CI stands for case-insensitive, which allows you to sort and compare text without regard to case, with regards to case, we also have CS (case-sensitive) which will do the opposite of CI, it differentiates upper and lower case when filtering, sorting and comparing texts, for accentuation we also have 2 variations AS (case-sensitive) which differentiates words with and without accents and AI (accent-insensitive), which allows you to sort and compare text data without regard to diacritics (which include accents and other glyphs added to a letter such as cedilla (ç), circumflex (ô), umlaut (ö), tilde (ñ), and more.). If you’re working with Latin languages or any other language with accents in your database, you may have a requirement for a CI_AI collation. This means that developers can use Babelfish to run their existing SQL Server applications on Amazon Aurora PostgreSQL-Compatible Edition without having to switch database drivers or completely rewrite their queries. Babelfish for Aurora PostgreSQL includes support for the SQL Server wire-protocol and T-SQL, which is the query language used in Microsoft SQL Server.
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