What's new in SQL Server 2019


Internet resource Document Type: Data discovery and classification provides advanced capabilities that are natively built into SQL Server. It was introduced in SQL Server

Second Method

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Please enter your name. The E-mail message field is required. Please enter the message. Please verify that you are not a robot. Would you also like to submit a review for this item? You already recently rated this item. Your rating has been recorded. Write a review Rate this item: Preview this item Preview this item. SQL Server Programmierung: Subjects SQL Server A view is a stored sql text of a select query.

Parameters are out of the discussion. When your stored query returns the column where you want to filter with, you can do it in the calling query. Epicurist Parameters are out of the discussion Too bold statement. As already stated you can't. A possible solution would be to implement a stored function, like: Alex Bagnolini Alex Bagnolini What are the practical differences between this and a view? Can you assign user permissions to only access this function? In MySQL you write a stored procedure and have the last statement in the procedure be the resultset you want returned.

If its stored proc or a function, then I guess databases may not be able to give you that information. There are 2 ways to acheive what you want unfortunatly neither can be done using a view.

You can either create a table valued user defined function that takes the parameter you want and returns a query result Or you can do pretty much the same thing but create a stored procedure instead of a user defined function. Thorsten Dittmar Thorsten Dittmar Bozonik Bozonik 71 1 1. This is a horrible solution.

A Plus for me for that. Why do you need a parameter in view? Mahesh Mahesh 79 1 3. For example using session context: Lukasz Szozda Lukasz Szozda 79k 10 61 I think this is pretty handy. Similar to how parameters can be passed to web apps e.

Mladen Prajdic Mladen Prajdic DateFloor fromDate and dbo. You also can add parameters to this select for example in where statements like this: This feature is enabled by default under database compatibility level For more information, see Scalar UDF inlining.

The error message ID String or binary data would be truncated is familiar to many SQL Server developers and administrators who develop or maintain data movement workloads; the error is raised during data transfers between a source and a destination with different schemas when the source data is too large to fit into the destination data type. This error message can be time-consuming to troubleshoot.

SQL Server preview introduces a new, more specific error message for this scenario:. The new error message provides more context for the data truncation problem, simplifying the troubleshooting process. SQL Server preview provides improved diagnostic data for long-running queries that wait on synchronous statistics update operations.

The dynamic management view sys. It shows the accumulated instance-level time spent on synchronous statistics refresh operations. SQL Server preview introduces static data masking.

You can use static data masking to sanitize sensitive data in copies of SQL Server databases. Static data masking helps create a sanitized copy of databases where all sensitive information has been altered in a way that makes the copy sharable with non-production users.

Static data masking can be used for development, testing, analytics and business reporting, compliance, troubleshooting, and any other scenario where specific data cannot be copied to different environments. Static data masking operates at the column level. Select which columns to mask, and for each column selected, specify a masking function. Static data masking copies the database and then applies the specified masking functions to the columns.

Data masking is the process of applying a mask on a database to hide sensitive information and replacing it with new data or scrubbed data. Microsoft offers two masking options, static data masking and dynamic data masking. Dynamic data masking was introduced in SQL Server The following table compares these two solutions:. To enable for a specific user database, execute:. Full support for the widely used UTF-8 character encoding as an import or export encoding, or as database-level or column-level collation for text data.

This feature may provide significant storage savings, depending on the character set in use. For more information, see Collation and Unicode Support. Resumable online index create allows an index create operation to pause and resume later from where the operation was paused or failed, instead of restarting from the beginning.

In case of an index create failure, without this feature an online index create operation must be executed again and the operation must be restarted from the beginning. With this release, we extend the resumable functionality adding this feature to available resumable online index rebuild.

In addition, this feature can be set as the default for a specific database using database scoped default setting for online and resumable DDL operations.

For more information, see Resumable Online Index Create. Convert row-store tables into columnstore format. Workload will not be blocked and all changes made on the underlying data are transparently added into the target columnstore table. Examples of new Transact-SQL statements that can be used are:. Expands upon Always Encrypted with in-place encryption and rich computations. The expansions come from the enabling of computations on plaintext data, inside a secure enclave on the server side.

Cryptographic operations include the encryption of columns, and the rotating of column encryption keys. These operations can now be issued by using Transact-SQL, and they do not require that data be moved out of the database. Secure enclaves provide Always Encrypted to a broader set of scenarios that have both of the following requirements:.

For details, see Always Encrypted with secure enclaves. Row mode memory grant feedback expands on the memory grant feedback feature introduced in SQL Server For an excessive memory grant condition, if the granted memory is more than two times the size of the actual used memory, memory grant feedback will recalculate the memory grant.