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#GOOGLE CLOUD CONSOLE WITH JETBRAINS DATAGRIP HOW TO#
#GOOGLE CLOUD CONSOLE WITH JETBRAINS DATAGRIP INSTALL#
#GOOGLE CLOUD CONSOLE WITH JETBRAINS DATAGRIP CODE#
#GOOGLE CLOUD CONSOLE WITH JETBRAINS DATAGRIP DOWNLOAD#
#GOOGLE CLOUD CONSOLE WITH JETBRAINS DATAGRIP WINDOWS#

If you can modify the code or access its external configuration, we recommend using the AWS authentication plugin for Cassandra drivers. When building applications, keep in mind that service-specific credentials aren’t the only way to authenticate and authorize access to Amazon Keyspaces resources. The service-specific credentials are useful when integrating existing Apache Cassandra tooling or applications without modifying the code. Service-specific credentials enable you to use the existing Apache Cassandra module for IntelliJ’s IDE. To follow the instructions in this post, you need service-specific credentials for an existing AWS Identity and Access Management (IAM) user.

#GOOGLE CLOUD CONSOLE WITH JETBRAINS DATAGRIP DOWNLOAD#

You can also download the evaluation version of the software, which is free for 30 days.

The functionality I cover in this post is available in the Enterprise version of these tools. Net, you’re likely already using one of the various IDEs developed by JetBrains. If you’re using Java, Python, Go, Php, or. In the end, you will have a functioning development environment to start building modern data applications with Amazon Keyspaces.

#GOOGLE CLOUD CONSOLE WITH JETBRAINS DATAGRIP HOW TO#

Additionally, I show how to create new Amazon Keyspaces tables, run CQL queries, and enable advanced functionalities such as point-in-time recovery. In this post, I provide step-by-step instructions to connect to Amazon Keyspaces from your local machine using a commonly used integrated development environment (IDE). This allows you to develop quickly by writing code and iterating on schemas within the same tool. When developing with Amazon Keyspaces, it’s helpful to be able to connect to Amazon Keyspaces directly from your development environment. With Amazon Keyspaces, you can run your Cassandra workloads on AWS using the same Cassandra application code and developer tools you use today. Amazon Keyspaces is a scalable, highly available, and managed Apache Cassandra-compatible database service. Keyspaces offers customers scalability and fast performance to provide users a great end-user experience. In the Secret key field, enter the AccessKey secret.įor more information about how to create an AccessKey pair, see Create an AccessKey pair.Īfter the connection is established, you can then use and manage OSS buckets and objects in the IDE.AWS customers use Amazon Keyspaces (for Apache Cassandra) to modernize their Cassandra workloads. In the Access key field, enter the AccessKey ID of the RAM user.

From the Authentication type list, select Explicit access key and secret key.

You can then use the bucket filter to show only buckets with particular names. If you specify multiple names or paths, separate them with commas (,).

Select Custom roots and, in the Roots field, specify the name of the bucket or the path to a directory in the bucket.

Select a region in which the buckets you want to connect are located.įor more information about OSS regions, see Regions and endpoints.

Specify a name for the connection to distinguish it from other connections.

In the Big Data Tools dialog box, complete the following configurations:.

In the Storages section, click Alibaba OSS.

In the right-side bar of the IDE, click Big Data Tools.

You can use the Big Data Tools plug-in to connect to supported monitoring services and storage services, such as OSS.

#GOOGLE CLOUD CONSOLE WITH JETBRAINS DATAGRIP INSTALL#

Click Install next to the Big Data Tools result.Īfter the Big Data Tools plug-in is installed, Big Data Tools appears on the right side of the IDE.

In the User Data search box, enter Big Data Tools.

In the left-side navigation pane, choose Editor > Plugins.

In the Preferences window, install the Big Data Tools plug-in.

#GOOGLE CLOUD CONSOLE WITH JETBRAINS DATAGRIP WINDOWS#

On Windows or Linux, choose File > Settings, or press Ctrl+Alt+S.

On macOS, choose IntelliJ IDEA > Preferences from the main menu, or press ⌘.

Start one of the following JetBrains IDEs:.

Step 1: Install the Big Data Tools plug-in

Opening storage buckets and directories in separate tabs.įor more information, see Big Data Tools.

Previewing binary files, such as Parquet.

Obtaining information about files, such as modification time.

Previewing files and switching between the Text view and Table view of CSV files.

Managing files in a way similar to using a file manager, including copy, move, rename, delete, and download operations.Connecting to remote file systems and storage systems such as OSS.

What is Big Data Tools?īig Data Tools is a JetBrains IDE plug-in that you can use for: The Big Data Tools plug-in lets you manage Object Storage Service (OSS) buckets and objects directly from JetBrains IDEs.