Now I have 6 files,3 csv files, and 3 text files. In this example, we will delete a single file using a wildcard file name. I reset the source files in the data set. Now all three text files are deleted from the folder Folder1 and the other 3 files are still there :ĭelete a single file using a wildcard file name In the wildcard file name, we are using *.txt to delete all text files: Let's change the delete activity source settings, using a wildcard. In this example, we will delete only text files from the source folder. I reset the source files in the data set. This time Folder1 is deleted along with all its content: In this example, we will delete all contents in the folder and the folder itself. To delete the folder and its content, we need to check the recursively option, as shown below: Now in the file path type option below we will use the file path in dataset option so that it will delete all the files in folder1.Īs expected all files are deleted from folder1 but not the folder, Folder1, itself.ĭelete contents in folder and folder itself Max concurrent connections - Here we can specify a maximum number of the connections to delete files or a folder.Recursively - This option determines whether files need to delete from the current folder or the subfolder.Filter by last modified - We can optionally files can be filtered by start time and end time.List of files - We can use a list of filenames to delete from the source folder.Wildcard file path - We need to select this option when we want to delete source files with wildcard file names.Filepath in dataset - With this option source file will be selected from the dataset.Dataset - We need to provide a dataset that points to a file or a folder.The delete activity has these options in the source tab: Let's take a look at the dataset properties below: In this example, We will delete all the files from Folder1. I have six files in the data lake folder. Filter files using the last modified date.Delete a single file using a wildcard file name.Delete specific file types in a folder.Delete contents in the folder and folder itself.I will show the following operations with the Delete Activity: In this article, we will discuss the delete activity with the various options available for the file deletion. Click Yes.We can use the delete activity in Azure Data Factory to delete files from both on-premises and cloud storage. Right-click the table and choose Delete from the shortcut menu.Ī message box prompts you to confirm the deletion. In Object Explorer, select the table you want to delete. Using SQL Server Management Studio To delete a table from the database Requires ALTER permission on the schema to which the table belongs, CONTROL permission on the table, or membership in the db_ddladmin fixed database role. Otherwise an unexpected error may occur.Īny view or stored procedure that references the dropped table must be explicitly deleted or modified to remove the reference to the table. If you drop a table that contains a varbinary (max) column with the FILESTREAM attribute, any data stored in the file system will not be removed.ĭROP TABLE and CREATE TABLE should not be executed on the same table in the same batch. ![]() If you re-create a table, you must rebind the appropriate rules and defaults, re-create any triggers, and add all required constraints. When a table is dropped, rules or defaults on the table lose their binding, and any constraints or triggers associated with the table are automatically dropped. If both the referencing table and the table that holds the primary key are being dropped in the same DROP TABLE statement, the referencing table must be listed first. The referencing FOREIGN KEY constraint or the referencing table must first be dropped. You cannot drop a table that is referenced by a FOREIGN KEY constraint. If existing queries, views, user-defined functions, stored procedures, or programs refer to that table, the deletion will make these objects invalid.īefore You Begin Limitations and Restrictions Think carefully before you delete a table.
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