You do not need to provide the password next time you open DataGrip.Īdds an argument to the URL to create a database. You can terminate the connection by pressing the Deactivate icon ( ) or Control+F2.įorever: password is saved in the DataGrip storage. If you exit DataGrip and open it again, you must provide the password again.įor session: password is saved only for the current connection session with a database (until you disconnect from it). Until restart: password is saved only for the current DataGrip run. Never: password is prompted each time you establish a connection with a database. You can select the following options for storing your password: The name of the target database or schema. If you are using SSH, the database host must be accessible by the specified domain name or IP address from the computer on which the SSH proxy runs. If the database is on your local computer, specify localhost or 127.0.0.1. The hostname (domain name) or the IP address (IPv4 or IPv6) of the computer where the database is located. Use the Open icon ( ) to select an existing database file or a folder. The Save icon ( ) creates a copy of a database file and changes a path to the copy location. Use the Open icon ( ) to select an existing database file. The driver from the Drivers list that you want to use for the connection. In all such cases, normally, you don't need to edit the URL (though you can if you want). When using any other of the options (the options are DBMS-specific), DataGrip forms the database connection URL automatically using the info in the fields above the URL field. Your username and password, if necessary, are specified in the corresponding fields, or within the URL in the format appropriate for the JDBC driver that you are using. You should edit the URL right in the field. When you select this option, only the following fields are available: User, Password and URL. URL only This option, generally, is for editing the database connection URL directly. The set of fields and controls on the tab depends on the option that is selected in the Connection type list.Ī connection type that you want to use for the database connection. The General tab includes settings that you need to specify for a database connection. Settings pane of a data source includes the following tabs: General, Options, SSH/SSL, Schemas, Advanced. Show data sources that use the selected driver. Load source code of database objects for the selected category of schemas. For more information about global and project levels, see Manage data sources. Move the selected data source to the global or project level. Navigate to the driver settings that are associated with the selected data source. Since the vector dataset is quite large, we also provide derived global road density rasters, to enable easier usage of the GRIP data.Remove the selected item or items from the list.Ĭreate a copy of the selected data source or driver. Data is available at Download GRIP4 vector datasets below or alternatively at Zenodo: Description Environmental Research Letters, 13-064006. (2018): Global patterns of current and future road infrastructure. Meijer, J.R., Huijbregts, M.A.J., Schotten, C.G.J. When using the GRIP database, citations and acknowledgements could be made as follows: The GRIP database and future global road infrastructure scenario projections following the Shared Socioeconomic Pathways (SSPs) are described in the paper by Meijer et al (2018). GRIP4 is provided under a Creative Commons License (CC-0) and is free to use. The UNSDI-Transportation datamodel was applied for harmonization of the individual source datasets. GRIP4 is based on many different sources (including OpenStreetMap) and to the best of our ability we have verified their public availability, as a criteria in our research. The dataset is not suitable for navigation. The GRIP dataset is mainly aimed at providing a roads dataset that is easily usable for scientific global environmental and biodiversity modelling projects. The GRIP dataset consists of global and regional vector datasets in ESRI filegeodatabase and shapefile format, and global raster datasets of road density at a 5 arcminutes resolution (~8x8km). The Global Roads Inventory Project (GRIP) dataset was developed to provide a more recent and consistent global roads dataset for use in global environmental and biodiversity assessment models like GLOBIO.
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