Work with data files
Once you have established connection to a server, you can work with the data files. With the Big Data Tools plugin, you can easily perform basic file operations as well as quickly preview large structured files in tabular form.
Filter the list of buckets
For the S3-like servers, you can filter the buckets to preview and work with. You can do it when configuring a new connection, or you can tweak earlier configured connection settings. Select a server in the Big Data Tool tool window and click on the window toolbar.
In the settings dialog, specify a pattern in the Buckets filter list, then select the way the filter should be applied from the Filter type. If no filter is specified, all buckets will be shown in the Big Data Tool.
Manage server directories
Expand the server node to preview its structure.
Select a target directory and right-click to open the context menu.
You can copy, paste, rename the directory, change its location, or delete it. Select Upload from disk to add more files to the directory.
You can also save the directory and its files on the local drive.
Manage data files
Expand the target directory and select a file.
Right-click the file to open the context menu.
You can copy, paste, rename the file, change its location, or delete it.
To briefly preview details of a structured file, such as .csv or
.parquet, expand its node in the directory structure. You should be able to see the columns and their types.
Select Show file info from the context menu to obtain more details about the file:
To view a .csv or
.parquet, double-click it or select the Preview command from the context menu. The file opens in the editor. You cannot edit it but you can preview it as a table or as text:
In the table view, you can operate with table elements. 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.
You can also sort data in columns by clicking column headers.
When you open .parquet files, the plugin only displays the first portion of the file content. This is especially useful when you work with very large files.
View files in a File Viewer
To open any storage or directory in a separate File Viewer, select the item in the Big Data Tools tool window and click .
The selected directory will be opened in a separate tab in the editor.
You can exchange files with the servers and directories opened in the Big Data Tools tool window. Use the viewer toolbar icons to copy, paste, and cut files.
You can customize the visual appearance of the viewer:
Click to manage visibility of the file info details.
Click to exclude any column for a view. By default, all columns are displayed in the viewer.
Click to update the content of the selected directory.
Use the to get access to other commands.
Create a new bucket
To add a new bucket to the data storage, right-click the server in the Big Data Tool tool window and select from the context menu.
Specify the new bucket name and click Ok to complete the task.
In case the server connection has been lost, the corresponding icon shows the disconnected status of the server . Click to reestablish the connection to the server.