Platform for BI, data applications, and embedded analytics. Messaging service for event ingestion and delivery. Service for running Apache Spark and Apache Hadoop clusters. Data integration for building and managing data pipelines. Workflow orchestration service built on Apache Airflow. Service to prepare data for analysis and machine learning. Intelligent data fabric for unifying data management across silos. Metadata service for discovering, understanding, and managing data.
Service for securely and efficiently exchanging data analytics assets. Cloud-native wide-column database for large scale, low-latency workloads. Cloud-native document database for building rich mobile, web, and IoT apps.
In-memory database for managed Redis and Memcached. Cloud-native relational database with unlimited scale and Serverless, minimal downtime migrations to Cloud SQL. Infrastructure to run specialized Oracle workloads on Google Cloud.
NoSQL database for storing and syncing data in real time. Serverless change data capture and replication service. Universal package manager for build artifacts and dependencies. Continuous integration and continuous delivery platform.
Service for creating and managing Google Cloud resources. Command line tools and libraries for Google Cloud. Cron job scheduler for task automation and management. Private Git repository to store, manage, and track code.
Task management service for asynchronous task execution. Fully managed continuous delivery to Google Kubernetes Engine. Full cloud control from Windows PowerShell.
Healthcare and Life Sciences. Solution for bridging existing care systems and apps on Google Cloud. Tools for managing, processing, and transforming biomedical data. Real-time insights from unstructured medical text. Integration that provides a serverless development platform on GKE. Tool to move workloads and existing applications to GKE. Service for executing builds on Google Cloud infrastructure. Traffic control pane and management for open service mesh.
API management, development, and security platform. Fully managed solutions for the edge and data centers. Internet of Things. IoT device management, integration, and connection service.
Automate policy and security for your deployments. Dashboard to view and export Google Cloud carbon emissions reports. Programmatic interfaces for Google Cloud services. Web-based interface for managing and monitoring cloud apps. App to manage Google Cloud services from your mobile device. Interactive shell environment with a built-in command line. Kubernetes add-on for managing Google Cloud resources.
Tools for monitoring, controlling, and optimizing your costs. Tools for easily managing performance, security, and cost. Service catalog for admins managing internal enterprise solutions. Open source tool to provision Google Cloud resources with declarative configuration files.
Media and Gaming. Game server management service running on Google Kubernetes Engine. Open source render manager for visual effects and animation. Convert video files and package them for optimized delivery.
App migration to the cloud for low-cost refresh cycles. Data import service for scheduling and moving data into BigQuery. Reference templates for Deployment Manager and Terraform. Components for migrating VMs and physical servers to Compute Engine.
Storage server for moving large volumes of data to Google Cloud. Data transfers from online and on-premises sources to Cloud Storage. Migrate and run your VMware workloads natively on Google Cloud. Security policies and defense against web and DDoS attacks. Content delivery network for serving web and video content. Domain name system for reliable and low-latency name lookups. Service for distributing traffic across applications and regions. NAT service for giving private instances internet access.
Connectivity options for VPN, peering, and enterprise needs. Connectivity management to help simplify and scale networks. Network monitoring, verification, and optimization platform. Cloud network options based on performance, availability, and cost. VPC flow logs for network monitoring, forensics, and security.
Google Cloud audit, platform, and application logs management. Infrastructure and application health with rich metrics. Application error identification and analysis. GKE app development and troubleshooting. Tracing system collecting latency data from applications. CPU and heap profiler for analyzing application performance. Real-time application state inspection and in-production debugging.
Tools for easily optimizing performance, security, and cost. Permissions management system for Google Cloud resources. Compliance and security controls for sensitive workloads. Manage encryption keys on Google Cloud.
Encrypt data in use with Confidential VMs. Platform for defending against threats to your Google Cloud assets. Sensitive data inspection, classification, and redaction platform. Managed Service for Microsoft Active Directory. Cloud provider visibility through near real-time logs. Two-factor authentication device for user account protection.
Store API keys, passwords, certificates, and other sensitive data. Zero trust solution for secure application and resource access. Platform for creating functions that respond to cloud events. Workflow orchestration for serverless products and API services. Cloud-based storage services for your business. File storage that is highly scalable and secure. Block storage for virtual machine instances running on Google Cloud. Object storage for storing and serving user-generated content. Block storage that is locally attached for high-performance needs.
Data archive that offers online access speed at ultra low cost. Contact us today to get a quote. Request a quote. Google Cloud Pricing overview. Pay only for what you use with no lock-in. Get pricing details for individual products. Related Products Google Workspace. Get started for free. Self-service Resources Quickstarts. View short tutorials to help you get started. Stay in the know and become an Innovator. Prepare and register for certifications.
Expert help and training Consulting. Partner with our experts on cloud projects. Enroll in on-demand or classroom training. Partners and third-party tools Google Cloud partners. Explore benefits of working with a partner. Join the Partner Advantage program. Deploy ready-to-go solutions in a few clicks. More ways to get started. Cloud Storage. Client libraries. API reference. GET Bucket. PUT Bucket. GET Object. POST Object. PUT Object. Description The gsutil cp command allows you to copy data between your local file system and the cloud, within the cloud, and between cloud storage providers.
How Names Are Constructed The gsutil cp command attempts to name objects in ways that are consistent with the Linux cp command. Checksum Validation At the end of every upload or download, the gsutil cp command validates that the checksum it computes for the source file matches the checksum that the service computes. Retry Handling The cp command retries when failures occur, but if enough failures happen during a particular copy or delete operation, or if a failure isn't retryable, the cp command skips that object and moves on.
Resumable Transfers gsutil automatically resumes interrupted downloads and interrupted resumable uploads , except when performing streaming transfers. Parallel Composite Uploads gsutil can automatically use object composition to perform uploads in parallel for large, local files being uploaded to Cloud Storage. Changing Temp Directories gsutil writes data to a temporary directory in several cases: when compressing data to be uploaded see the -z and -Z options when decompressing data being downloaded for example, when the data has Content-Encoding:gzip as a result of being uploaded using gsutil cp -z or gsutil cp -Z when running integration tests using the gsutil test command In these cases, it's possible the temporary file location on your system that gsutil selects by default may not have enough space.
See "gsutil help acls" for further details. This manifest contains the following information for each item: Source path. Copying files or directories is one of basic activity in every operating system. Backup activity is basically is creating a copy of files and directories. On Linux system, we can use cp command to do it. As we mentioned above, cp command is a command to create copy of files and directories. Here are some samples of cp command that might useful in day-to-day operation.
This is a very basic cp usage. To copy a file name myfile. From example above, myfile. To copy multiple file at the same time, we can just put the files behind the copy command which separated by space. Copying a directory is a little bit tricky. You need to add -r or -R option to do it. This option is a must whether the directory is empty or not. One more thing to note is that you need to remove the trailing slash behind the directory name. Copying file means you must have some space on the storage to store the copied files.
To do this, we can use -l option. It marked by the same inode, But please note, hardlinks cannot be created into directories. Same with its original file. There is another type of links called softlinks or symbolic links. First, open the specific directory in the terminal and execute the tree command.
In the Documents folder, we have two files, i. Now, execute the below command in the terminal:. Here we used the following command to copy Linuxhint. The CP command, by default, does not copy directories. On copying the directory, it shows an error. To copy the directory with the help of the cp command, we have to pass -R flag. It creates a copy by copying the flagged folder recursively. Finally, execute the tree command to verify that the system has successfully created multiple directories.
To copy the multiple directories with the cp command, copy the path of the directories and pass it after the destination directory. First, execute the tree command to see details about files and folders available in the directory:. We can use the -b flag to back up the file if someone overwrites the copied file. It also creates a backup file by copying the file in place.
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