To do that, define column transformers byĬlicking on corresponding cells in the Transform column. You may also want to transform the values of some columns during the transfer. Tip: If the cells are marked with, it means that in the target table, there are noĬolumns with matching names, otherwise the names will be filled in automatically. Recreate the table, which means that the available data, keys, indexes, and other possible entities of the existing table will be lost. Transfers source data to an existing table in the target container. Transfers source data into a newly created table or column in the target container. To change the mapping type, click a cell in the Mapping column of Table mapping dialog box and select the required mapping type. Browse: Opens the Choose Target Table windowīrowse button: Alternatively, press the Browse button to select a table from the existing tables in the target.Skip: Skips the data transfer for this table.Manual Entry: Click on a cell in the Target column and manually enter the name of the table where you wish toĭrop-down list: Use the drop-down list next to the Target column to choose among the following options: You can specify the target table where the data will be transferred in multiple ways: button to select the container where the data will be transferred. Target container and target table Specify target container For more details, see the Transform section. For more details, see the Mapping section.Īllows for the transformation of column values during the data transfer. Lists the available actions for data transfer. For more details, see the Target Container section.ĭisplays the names of selected tables and their columns. Specify the target container where the data will be transferred in.ĭefines the database or schema for the data transfer. For details, see Mapping Rules section.Īutomatically populates the Target column based on the source. Moves the selected mapping closer to the tail of the queue.Ĭhoose how new tables and column names are transformed when transferring data. Moves the selected mapping closer to the head of the queue. Shows a preview of the data to be transferred. Includes specifying options, selecting the target container, and setting other configurations.Ĭonfigure your data mapping settings and press Next to proceed to the next step. Once you have chosen Database as the transfer target type, the next step involves mapping data. Chooseĭatabase type as the data transfer target and press Next. Step 2 Define data transfer target typeĪfter selecting the data source, the next step is to specify the type of destination for the data transfer. Execute the query and then choose Export Data from the resultsĬontext menu. Tip: You can export data from a custom SQL query. Select one or multiple tables that you want to export.To initiate the data migration, you need to select your data source. Data migration process Step 1 Define the data source This guide walks you through the steps to execute a data migration using DBeaver. Step 2 Define data transfer target typeĭata Migration in DBeaver provides the functionality to transfer data between different databases or between tables.Working with Spatial Geographic Information System (GIS) data.How to add additional artifacts to the driver.Configure connection initialization settings.Invalidating and reconnecting to database.Capability to work with various extensions for integration with Excel, Git, and others.Support for Enterprise security standard.Carefully designed and implemented User Interface.Having usability as its main goal, DBeaver offers: Out-of-the box DBeaver supports more than 80 databases. For advanced database users, DBeaver suggests a powerful SQL-editor, plenty of administration features, abilities of data and schema migration, monitoring database connection sessions, and a lot more. With DBeaver you are able to manipulate your data, for example, in a regular spreadsheet, create analytical reports based on records from different data storages, and export information in an appropriate format. How to set a variable if dbeaver.ini is read-onlyĭBeaver is a universal database management tool for everyone who needs to work with data in a professional way.Importing CA certificates from your local Java into DBeaver. Connecting to Oracle Database using JDBC OCI driver.Windows Silent Install License management.Installing extensions - Themes, version control, etc.
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