In the window that opens, confirm the name of the file and destination directory. You can also quickly upload a file from your local file system to a remote one by dragging the file from your Project tool window to the editor, which can be opened in the editor or in the Big Data Tools tool window.ĭrag a file to the necessary bucket, container, or directory With DataGrip, you can easily copy and move files between different remote file systems or within the same storage by dragging them to needed buckets, containers, or directories. By default, all columns are displayed in the viewer.Ĭlick to update the content of the selected directory. You can customize the visual appearance of the storage:Ĭlick to manage visibility of the file info details.Ĭlick to exclude any column for a view. Use the viewer toolbar icons to copy, paste, and cut files. You can exchange files with the servers and directories opened in the Big Data Tools tool window. The selected directory will be opened in a separate tab of the editor. To open any storage or directory in a separate tab of your editor, select the item in the Big Data Tools tool window and click. This is especially useful when you work with very large files. parquet files, the plugin only displays the first portion of the file content. You can also sort data in columns by clicking column headers. Right-click to open the context menu and select a command to copy a raw or a column, or copy the entire table to the clipboard or file. In the table view, you can operate with table elements. You cannot edit it but you can preview it as a table or as text: To view a file, double-click it or select the Preview command from the context menu. Select Show Info from the context menu to obtain more details about the file: You should be able to see the columns and their types. To briefly preview details of a structured file, such as CSV, Parquet, ORC, or Avro, expand it in the editor or in the Big Data Tools tool window. You can copy, paste, rename the file, copy its path, change its location, or delete it. Right-click the file to open the context menu. Manage data filesĮxpand the target directory and select a file. This will locate the selected file in the Big Data Tools tool window. Or you can type the name of a bucket to quickly find it. In the Navigate in window, start typing a path to the file or directory. You can select a particular bucket or directory if you want to find a file within it. Select a connection to a storage and click at the top of the Big Data Tools tool window or press Control+F. Instead, you can start typing a path to it and let DataGrip show your available files and autocomplete the path. It can be useful if you have a lot of nested directories and do not want to click and expand each of them when looking for a file. The Big Data Tools tool window lets you quickly locate files and directories in your storage. To quickly create a new file, directory, or connection, press Alt+Insert. You can also save the directory and its files on the local drive. Select Upload from disk to add more files to the directory. You can copy, paste, rename the directory, change its location, copy its path, and add new files and directories. Right-click a directory to open the context menu. Manage server directoriesĮxpand the server node to preview its structure. With the Big Data Tools plugin, you can easily perform basic file operations as well as quickly preview large structured files in tabular form. Once you have established connection to a server, you can work with the data files.
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