![]() ![]() SQL Server Standard edition delivers basic data management and business intelligence database for departments and small organizations to run their applications and supports common development tools for on-premises and cloud - enabling effective database management with minimal IT resources. ![]() The premium offering, SQL Server Enterprise edition delivers comprehensive high-end datacenter capabilities with blazing-fast performance, unlimited virtualization 1, and end-to-end business intelligence - enabling high service levels for mission-critical workloads and end user access to data insights. The following table describes the editions of SQL Server. The SQL Server Evaluation edition is available for a 180-day trial period.įor the latest release notes and what's new information, see the following:ĭownload SQL Server 2017 from the Evaluation Center SQL Server editions The following sections help you understand how to make the best choice among the editions and components available in SQL Server. The SQL Server components that you install also depend on your specific requirements. The different editions of SQL Server accommodate the unique performance, runtime, and price requirements of organizations and individuals. Installation requirements vary based on your application needs. This topic provides details of features supported by the various editions of SQL Server 2017.įor information about other versions, see: The ‘Translate’ function can do this easily.Applies to: SQL Server 2017 (14.x) and later We would need several ‘Replace’s to transform GeoJson format in WKT format and the reverse. In GeoJson a coordinate is represented using the format ‘’ while in WKT a point is represented using the format ‘(137.4 72.3)’. The function is called ‘Translate’ because its main objective: transform one kind of information in another by doing a bunch of replaces.įor example: GeoJson and WKT are two different formats for coordinates. Translate does the work of several replace functions, simplifying some queries. This function can be useful to produce reports, concatenating some fields, however it’s not useful for exporting data, because when we export data we need some kind of separator, such as a semi-colon (“ ”) even when a field is NULL, but this function doesn’t add the separator when a field is NULL. Select Concat_WS ( char ( 13 ), addressline1, addressline2, city, PostalCode ) SELECT CONCAT_WS ( ‘,’, ‘1 Microsoft Way’, NULL, NULL, ‘Redmond’, ‘WA’, 98052 ) AS Address The first example below use a comma as a separator, the 2nd uses a carriage-return (char(13)) : This is very useful to simplify the queries when we need to concatenate fields that aren’t always filled, such as address fields, that sometimes have all the fields filled and sometimes haven’t. You can see more about this hereīoth functions, CONCAT and CONCAT_WS, ignores the default behavior and the CONCAT_NULL_YIELDS_NULL configuration, ignoring NULL values during the concatenation. SQL Server has a session configuration called CONCAT_NULL_YIELDS_NULL, but this configuration is deprecated. That’s why any value concatenated with NULL yields NULL: the result is also unknown. Despite what a lot of people believe, NULL doesn’t mean an empty value, NULL means an unknown value. By default, concatenating a NULL value with a string value yields a null value. This isn’t SQL Server’s default behavior in a concatenation. The NULL value behavior with both functions is the same: NULL values are ignored, not even adding the separator. ![]() ‘WS’ in this case means ‘With Separator’, meaning this new function is able to add a separator between each string value it concatenates. New T-SQL Functions in SQL Server 2017 - Simple TalkĬoncat_WS function is similar to the Concat function that exists since SQL Server 2012, with the ‘WS’ as a plus.
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