DataGrip 2021.1 Help

Configure Big Data Tools environment

Before you start working with Big Data Tools, you need to install the required plugins and configure connections to servers.

Install the required plugins

  1. Whatever you do in DataGrip, you do it in a project. So, open an existing project (File | Open) or create a new project (File | New | Project ).

  2. In the Settings/Preferences dialog Ctrl+Alt+S, select Plugins | Marketplace.

  3. Install the Big Data Tools plugin.

  4. Restart the IDE. After the restart, the Big Data Tools tab appears in the rightmost group of the tool windows. Click it to open the Big Data Tools window.

    The view of DataGrip after the Big Data Tools plugin is installed

Once the Big Data Tools support is enabled in the IDE, you can configure a connection to a Spark, Google Storage, and S3 server. You can connect to HDFS, WebHDFS, AWS S3, and a local drive using config files and URI.

Configure a server connection

  1. In the Big Data Tools window, click Add a connection and select the server type. The Big Data Tools Connection dialog opens.

  2. In the Big Data Tools Connection dialog, specify the following parameters depending on the server type:

    • File Systems: FS | Local, FS | HDFS

    • Storages: AWS S3, Minio, Linode, Digital Open Spaces, GS, Azure

    • Monitoring: Spark, Hadoop

    • Notebooks: Zeppelin

    Local FS

    Mandatory parameters:

    • Root path: a path to the root directory.

    Optionally, you can set up:

    • Name: the name of the connection to distinguish it between the other connections.

    • Per project: select to enable these connection settings only for the current project. Deselect it if you want this connection to be visible in other projects.

    • Enable connection: deselect if, for some reasons, you want to restrict using this connection. By default, the newly created connections are enabled.

    HDFS connection

    Mandatory parameters:

    • Root path: a path to the root directory on the target server.

    • Config path a path to the HDFS configuration files directory. See the samples of configuration files.

    • File system URI an explicit uri of an HDFS server. Once you select this option, you need to specify the file system URI, for example localhost:9000 and a username to connect.

    Optionally, you can set up:

    • Name: the name of the connection to distinguish it between the other connections.

    • Per project: select to enable these connection settings only for the current project. Deselect it if you want this connection to be visible in other projects.

    • Enable connection: deselect if, for some reasons, you want to restrict using this connection. By default, the newly created connections are enabled.

    • Enable tunneling (Only NameNode operation). Creates an SSH tunnel to the remote host. It can be useful if the target server is in a private network but an SSH connection to the host in the network is available. SSH tunneling currently works only for operators with the following name nodes: list files, get meta info

      Select the checkbox and specify a configuration of an SSH connection (press ... to create a new SSH configuration).

    Note that the Big Data Tools plugin uses the HADOOP_USER_NAME env variable to login to the server. It this variable is not defined then the user.name property is used.

    See more examples of the Hadoop File System configuration files.

    Configure S3 connection

    Mandatory parameters:

    Optionally, you can set up:

    • Name: the name of the connection to distinguish it between the other connections.

    • Region: an AWS region of the specified bucket. You can select one from the list or let DataGrip to auto detect it.

    • Root path: a path to the root directory in the specified bucket.

    • Authentication type: the authentication method. You can use your AWS account credentials (by default), or opt to entering the access and secret keys.

    • Per project: select to enable these connection settings only for the current project. Deselect it if you want this connection to be visible in other projects.

    • Enable connection: deselect if, for some reasons, you want to restrict using this connection. By default, the newly created connections are enabled.

    • Use custom endpoint: select if you want to specify a custom endpoint and a signing region.

    • Proxy: select if you want to use IDE proxy settings or if you want to specify custom proxy settings. When configuring custom proxy settings, you can specify NTLM proxy options and enable proxy authentication.

    Configure Minio connection

    Mandatory parameters:

    • Endpoint: specify an endpoint to connect to.

    • Bucket: a globally unique Minio bucket name.

    Optionally, you can set up:

    • Name: the name of the connection to distinguish it between the other connections.

    • Root path: a path to the root directory in the specified bucket.

    • Access credentials: Access Key and Secret Key.

    • Per project: select to enable these connection settings only for the current project. Deselect it if you want this connection to be visible in other projects.

    • Enable connection: deselect if, for some reasons, you want to restrict using this connection. By default, the newly created connections are enabled.

    Configure Linode connection

    Mandatory parameters:

    Optionally, you can set up:

    • Name: the name of the connection to distinguish it between the other connections.

    • Region: a region of the specified bucket. You can select one from the list or let DataGrip to auto detect it.

    • Root path: a path to the root directory in the specified bucket.

    • Access credentials: Access Key and Secret Key.

    • Per project: select to enable these connection settings only for the current project. Deselect it if you want this connection to be visible in other projects.

    • Enable connection: deselect if, for some reasons, you want to restrict using this connection. By default, the newly created connections are enabled.

    Configure Digital Open Spaces connection

    Mandatory parameters:

    Optionally, you can set up:

    • Name: the name of the connection to distinguish it between the other connections.

    • Region: a Digital Ocean region of the specified bucket. You can select one from the list or let DataGrip to auto detect it.

    • Root path: a path to the root directory in the specified bucket.

    • Access credentials: Access Key and Secret Key.

    • Per project: select to enable these connection settings only for the current project. Deselect it if you want this connection to be visible in other projects.

    • Enable connection: deselect if, for some reasons, you want to restrict using this connection. By default, the newly created connections are enabled.

    Connection settings for Google Storage

    Mandatory parameters:

    • Bucket: a name of the basic container to store your data in Google Storage.

    • Cloud store JSON location: a path to the Cloud Storage JSON file. You don't need to specify the credentials if the Public bucket is selected.

    Optionally, you can set up:

    • Name: the name of the connection to distinguish it between the other connections.

    • Base directory (root by default): storage base directory.

    Connection settings for Azure Storage

    Mandatory parameters:

    • Endpoint: specify an endpoint to connect to.

    • Container: a name of the basic container to store your data in Microsoft Azure.

    Optionally, you can set up:

    • Name: the name of the connection to distinguish it between the other connections.

    • Root path: a path to the root directory in the specified bucket.

    • Authentication type: the authentication method. You can access the storage by username and key, by a connection string, or using a SAS token.

    • Per project: select to enable these connection settings only for the current project. Deselect it if you want this connection to be visible in other projects.

    • Enable connection: deselect if, for some reasons, you want to restrict using this connection. By default, the newly created connections are enabled.

    Configure Spark connection

    Mandatory parameters:

    • URL: the path to the target server.

    Optionally, you can set up:

    • Name: the name of the connection to distinguish it between the other connections.

    • Enable tunneling. Creates an SSH tunnel to the remote host. It can be useful if the target server is in a private network but an SSH connection to the host in the network is available.

      Select the checkbox and specify a configuration of an SSH connection (press ... to create a new SSH configuration).

    • Per project: select to enable these connection settings only for the current project. Deselect it if you want this connection to be visible in other projects.

    • Enable connection: deselect if, for some reasons, you want to restrict using this connection. By default, the newly created connections are enabled.

    • Enable HTTP basic authentication: connection with the HTTP authentication using the specified username and password.

    • Enable HTTP proxy: connection with the HTTP proxy using the specified host, port, username, and password.

    • HTTP Proxy: connection with the HTTP or SOCKS Proxy authentication. Select if you want to use IDEA HTTP Proxy settings or use custom settings with the specified host name, port, login, and password.

    • Kerberos authentication settings: opens the Kerberos authentication settings.
      Kerberos settings

      Specify the following options:

      • Enable Kerberos auth: select to use the Kerberos authentication protocol.

      • Krb5 config file: a file that contains Kerberos configuration information.

      • JAAS login config file: a file that consists of one or more entries, each specifying which underlying authentication technology should be used for a particular application or applications.

      • Use subject credentials only: allows the mechanism to obtain credentials from some vendor-specific location. Select this checkbox and provide the username and password.

      • To include additional login information into DataGrip log, select the Kerberos debug logging and JGSS debug logging.

        Note that the Kerberos settings are effective for all you Spark connections.

    Configure Hadoop connection

    Mandatory parameters:

    • URL: the path to the target server.

    Optionally, you can set up:

    • Name: the name of the connection to distinguish it between the other connections.

    • Enable tunneling. Creates an SSH tunnel to the remote host. It can be useful if the target server is in a private network but an SSH connection to the host in the network is available.

      Select the checkbox and specify a configuration of an SSH connection (press ... to create a new SSH configuration).

    • Per project: select to enable these connection settings only for the current project. Deselect it if you want this connection to be visible in other projects.

    • Enable connection: deselect if, for some reasons, you want to restrict using this connection. By default, the newly created connections are enabled.

    • Enable HTTP basic authentication: connection with the HTTP authentication using the specified username and password.

    • Enable HTTP proxy: connection with the HTTP proxy using the specified host, port, username, and password.

    • HTTP Proxy: connection with the HTTP or SOCKS Proxy authentication. Select if you want to use IDEA HTTP Proxy settings or use custom settings with the specified host name, port, login, and password.

    • Kerberos authentication settings: opens the Kerberos authentication settings.
      Kerberos settings

      Specify the following options:

      • Enable Kerberos auth: select to use the Kerberos authentication protocol.

      • Krb5 config file: a file that contains Kerberos configuration information.

      • JAAS login config file: a file that consists of one or more entries, each specifying which underlying authentication technology should be used for a particular application or applications.

      • Use subject credentials only: allows the mechanism to obtain credentials from some vendor-specific location. Select this checkbox and provide the username and password.

      • To include additional login information into DataGrip log, select the Kerberos debug logging and JGSS debug logging.

        Note that the Kerberos settings are effective for all you Spark connections.

    • You can also reuse any of the existing Spark connections. Just select it from the Spark Monitoring list.

    Connection Settings

    Mandatory parameters:

    • URL: the path to the target server.

    • Login and Password: your credentials to access the target server.

    Optionally, you can set up:

    • Name: the name of the connection to distinguish it between the other connections.

    • Login as anonymous: select to login without using your credentials.

    • Per project: select to enable these connection settings only for the current project. Deselect it if you want this connection to be visible in other projects.

    • Enable connection: deselect if, for some reasons, you want to restrict using this connection. By default, the newly created connections are enabled.

    • Library Versions: Scala Version, Spark Version, and Hadoop Version: these values are derived from the plugin bundles. If needed, specify any alternative version values.

    • Enable HTTP basic authentication: connection with the HTTP authentication using the specified username and password.

    • Proxy: connection with the HTTP or SOCKS Proxy authentication. Select if you want to use IDEA HTTP Proxy settings or use custom settings with the specified host name, port, login, and password.

    • Enable tunneling. Creates an SSH tunnel to the remote host. It can be useful if the target server is in a private network but an SSH connection to the host in the network is available.

      Select the checkbox and specify a configuration of an SSH connection (press ... to create a new SSH configuration).

    • Notifications. Select Enable cell execution notification if you want to be notified when execution time exceeds the specified time interval (60 seconds by default).

  3. Once you fill in the settings, click Test connection to ensure that all configuration parameters are correct. Then click OK.

You can disable any connection if you temporarly do not need it. Right-click the corresponding item in the BigDataTools window and select Disable Connection from the context menu. The server changes its visual appearance and behavior: you cannot preview its content. To restore the connection, right-click it and select Enable Connection from the context menu.

Now that you have established a connection to the server, you can start working with your notebooks. However, it might be a good practice to ensure that all the libraries and packages required for execution on a particular server are installed and available.

Configure notebook dependencies

  1. From the main menu, select File | Project Structure.

  2. In the Project Structure dialog, select Modules in the list of the Project Settings. Then select any of the configured connections in the list of the modules and double-click System Dependencies.

  3. Inspect the list of the added libraries. Click the list and start typing to search for a particular library.

    Configure dependencies

  4. If needed, modify the list of the libraries

    • Click the Add button to add a new library.

    • Click the Specify Documentation URL button and specify the URL of the external documentation.

    • Click the Execute button to select the items that you want DataGrip to ignore (folders, archives and folders within the archives), and click OK.

    • Click the Remove button to remove the selected ordinary library from the library or restore the selected excluded items. The items themselves will stay in the library.

Manage Zeppelin interpreters

You can configure interpreters on a Zeppelin server. Once an interpreter is added, it is available for all notes on this server.

Configure Zeppelin interpreters

  1. Open interpreter settings using one of the following ways:

    • Click the interpreter settings on the notebook toolbar.

    • Right-click a Zeppelin server in the BigDataTools tool window and select Open Interpreter Settings from the context menu.

  2. Preview the list of the available interpreters in the Interpreter Settings window.

    Interpreter settings

    Note that the list of the interpreters is identical to the list that opens in the Interpreter Bindings dialog for Zeppelin 0.8 and earlier. For Zeppelin 0.9, Interpreter Bindings shows only interpreters in use. To filter out the list of the interpreters, type the target name in the Search field.

    You can use the following actions of the interpreter toolbar:

    ItemDescription
    Refresh

    Updates the list of the interpreters.

    Add an interpreter

    Opens a dialog to add a new interpreter. You can include a new interpreter to an existing group of interpreters and configure its settings.

    Delete the selected interpreter

    Deletes the selected interpreter.

    Restart the interpreter

    Restarts the selected interpreter.

    Manage repositories

    Opens a dialog to add, remove, and modify interpreter repositories.

  3. Preview the settings of the target interpreter.

    • When an interpreter has resolved all dependencies and it is ready for use, its status is shown as Ready.

    • If the selected interpreter is a root of the interpreter group, you should see the interpreters that are included in this group. For example, the spark group consists of %spark, %spark.sql, %spark.pyspark, %spark.ipyspark, %spark.r, %spark.ir, %spark.shiny, %spark.kotlin

    • Select SHARED, SCOPED, or ISOLATED interpreter binding modes. In shared mode, every note using this interpreter shares a single interpreter instance. Scoped and isolated mode can be used under per user or per note dimensions. In scoped per note mode, each note will create a new interpreter instance in the same interpreter process. In isolated per note mode, each note will create a new interpreter process.

    • Select the Set permission checkbox and specify the owner names, if you want to restrict access to the selected interpreter.

    • Select the Connect to existing process checkbox to provide a Host and Port on the target server.

    • You can add interpreter Properties or modify the predefined set of properties and their values. Properties are exported as environment variables on the system if the property name consists of upper-case characters, numbers, or underscores ([A-Z_0-9]). Otherwise, the property is set as a common interpreter property. See more details in the Apache Zeppelin documentation.

      For example, you can add the zeppelin.SparkInterpreter.precode property and put some code into the Value field to execute on interpreter init.

      Add the zeppelin.SparkInterpreter.precode property

      This code is resolved in a note after initialization of the interpreter:

      Resolving the zeppelin.SparkInterpreter.precode property
                         in a note
    • In the Dependencies area add any library you want to use with the selected interpreter. If needed, specify the files that should be excluded.

Click Refresh to update the list of the interpreters. To restart the selected interpreter, click Restart the interpreter.

Manage repositories

  1. To open Repository Settings, click New interpreter on the interpreter toolbar.

    Manage repositories

    You can refresh the list of the repositories (Refresh ), add a new repository (New repository ), and remove the selected repository (Remove the selected repository ).

  2. To add a new repository, click New repository and fill in the repository settings:

    Mandatory parameters:

    • Id: a unique name of the repository

    • Url: address of the repository

    Optionally, you can set up:

    • Name: a username to access the repository

    • Password: a password to access the repository

    • Host: an HTTP or HTTPS server where the repository resides

    • Port: a port of the repository server

    • Name and Password: user credentials to access the repository server

Samples of Hadoop File System configuration files

TypeSample configuration
HDFS
<?xml version="1.0"?> -<configuration> -<property> <name>fs.hdfs.impl</name> <value>org.apache.hadoop.hdfs.DistributedFileSystem</value> </property> -<property> <name>fs.defaultFS</name> <value>hdfs://example.com:9000/</value> </property> </configuration>
S3
<?xml version="1.0"?> -<configuration> -<property> <name>fs.s3a.impl</name> <value>org.apache.hadoop.fs.s3a.S3AFileSystem</value> </property> -<property> <name>fs.s3a.access.key</name> <value>sample_access_key</value> </property> -<property> <name>fs.s3a.secret.key</name> <value>sample_secret_key</value> </property> -<property> <name>fs.defaultFS</name> <value>s3a://example.com/</value> </property> </configuration>
WebHDFS
<?xml version="1.0"?> -<configuration> -<property> <name>fs.webhdfs.impl</name> <value>org.apache.hadoop.hdfs.web.WebHdfsFileSystem</value> </property> -<property> <name>fs.defaultFS</name> <value>webhdfs://master.example.com:50070/</value> </property> </configuration>
WebHDFS and Kerberos
<?xml version="1.0"?> <configuration> -<property> <name>fs.webhdfs.impl</name> <value>org.apache.hadoop.hdfs.web.WebHdfsFileSystem</value> </property> -<property> <name>fs.defaultFS</name> <value>webhdfs://master.example.com:50070</value> </property> -<property> ​ <name>hadoop.security.authentication</name> <value>Kerberos</value> </property> -<property> <name>dfs.web.authentication.kerberos.principal</name> <value>testuser@EXAMPLE.COM</value> </property> -<property>​ <name>hadoop.security.authorization</name>​ <value>true</value>​ </property> </configuration>
Last modified: 13 April 2021