Perintah ini berfungsi dengan baik untuk membuat cadangan drive F saya ke OneDrive saya, menamai folder dengan tanggal saat ini: xcopy 'F: ' 'C: Users myUserName OneDrive for Business F. Robocopy does not copy exclusively locked files. If users tend to lock many files for long periods on your file servers, consider using a different preseeding method. Preseeding does not require a perfect match between file lists on the source and destination servers, but the more files that do not exist when initial synchronization is.
Whether transferring a couple of files or migrating an entire file server, discover why 9 out of 10 sysadmins recommend Robocopy. Robocopy copy folders only, The default behavior of robocopy is copying files. Sometimes we may need to move files. This can be done with robocopy too. We will provide /MOV option in order to move.
Estimated reading time: 14 minutes
Prerequisites
Work through the orientation and setup in Get started Part 1 to understand Docker concepts.
Enable BuildKit
Before we start building images, ensure you have enabled BuildKit on your machine.BuildKit allows you to build Docker images efficiently. For more information,see Building images with BuildKit.
BuildKit is enabled by default for all users on Docker Desktop. If you haveinstalled Docker Desktop, you don't have to manually enable BuildKit. If you arerunning Docker on Linux, you can enable BuildKit either by using an environmentvariable or by making BuildKit the default setting. Lord murugan mantra for pregnancy.
To set the BuildKit environment variable when running the docker build command,run:
To enable docker BuildKit by default, set daemon configuration in /etc/docker/daemon.json feature to true and restart the daemon.If the daemon.json file doesn't exist, create new file called daemon.json and then add the following to the file.
Restart the Docker daemon.
Overview
Now that we have a good overview of containers and the Docker platform, let's take a look at building our first image. An image includes everything you need to run an application - the code or binary, runtime, dependencies, and any other file system objects required.
To complete this tutorial, you need the following:
- Node.js version 12.18 or later. Download Node.js
- Docker running locally: Follow the instructions to download and install Docker.
- An IDE or a text editor to edit files. We recommend using Visual Studio Code.
Sample application
Let's create a simple Node.js application that we can use as our example. Create a directory in your local machine named node-docker and follow the steps below to create a simple REST API.
Now, let's add some code to handle our REST requests. We'll use a mock server so we can focus on Dockerizing the application.
Leawo prof. media 7.7.0 for macos. Open this working directory in your IDE and add the following code into the server.js file.
The mocking server is called Ronin.js and will listen on port 8000 by default. You can make POST requests to the root (/) endpoint and any JSON structure you send to the server will be saved in memory. You can also send GET requests to the same endpoint and receive an array of JSON objects that you have previously POSTed.
Test the application
Let's start our application and make sure it's running properly. Open your terminal and navigate to your working directory you created.
To test that the application is working properly, we'll first POST some JSON to the API and then make a GET request to see that the data has been saved. Open a new terminal and run the following curl commands:
Switch back to the terminal where our server is running. You should now see the following requests in the server logs.
Great! We verified that the application works. At this stage, you've completed testing the server script locally.
Press CTRL-c from within the terminal session where the server is running to stop it.
We will now continue to build and run the application in Docker.
Create a Dockerfile for Node.js
A Dockerfile is a text document that contains the instructions to assemble aDocker image. When we tell Docker to build our image by executing the docker buildcommand, Docker reads these instructions, executes them, and creates a Dockerimage as a result.
Let's walk through the process of creating a Dockerfile for our application. Inthe root of your project, create a file named Dockerfile and open this file inyour text editor.
What to name your Dockerfile?
The default filename to use for a Dockerfile is Dockerfile (without a file-extension). Using the default name allows you to run the docker build commandwithout having to specify additional command flags.
Some projects may need distinct Dockerfiles for specific purposes. A commonconvention is to name these Dockerfile. or .Dockerfile.Such Dockerfiles can then be used through the --file (or -f shorthand)option on the docker build command. Refer to the'Specify a Dockerfile' sectionin the docker build reference to learn about the --file option.
Copy Locked Files With Robocopy Using B Parameters
We recommend using the default (Dockerfile) for your project's primaryDockerfile, which is what we'll use for most examples in this guide.
The first line to add to a Dockerfile is a # syntax parser directive.While optional, this directive instructs the Docker builder what syntax to usewhen parsing the Dockerfile, and allows older Docker versions with BuildKit enabledto upgrade the parser before starting the build. Parser directivesmust appear before any other comment, whitespace, or Dockerfile instruction inyour Dockerfile, and should be the first line in Dockerfiles.
We recommend using docker/dockerfile:1, which always points to the latest releaseof the version 1 syntax. Convert png to pes online, free. BuildKit automatically checks for updates of the syntaxbefore building, making sure you are using the most current version.
Next, we need to add a line in our Dockerfile that tells Docker what base imagewe would like to use for our application.
Docker images can be inherited from other images. Therefore, instead of creating our own base image, we'll use the official Node.js image that already has all the tools and packages that we need to run a Node.js application. You can think of this in the same way you would think about class inheritance in object oriented programming. For example, if we were able to create Docker images in JavaScript, we might write something like the following.
class MyImage extends NodeBaseImage {}
This would create a class called MyImage that inherited functionality from the base class NodeBaseImage.
In the same way, when we use the FROM command, we tell Docker to include in our image all the functionality from the node:12.18.1 image.
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Note
If you want to learn more about creating your own base images, see Creating base images.
The NODE_ENV environment variable specifies the environment in which an application is running (usually, development or production). One of the simplest things you can do to improve performance is to set NODE_ENV to production.
To make things easier when running the rest of our commands, let's create a working directory. This instructs Docker to use this path as the default location for all subsequent commands. This way we do not have to type out full file paths but can use relative paths based on the working directory.
Usually the very first thing you do once you've downloaded a project written in Node.js is to install npm packages. This ensures that your application has all its dependencies installed into the node_modules directory where the Node runtime will be able to find them.
Before we can run npm install, we need to get our package.json and package-lock.json files into our images. We use the COPY command to do this. The COPY command takes two parameters. The first parameter tells Docker what file(s) you would like to copy into the image. The second parameter tells Docker where you want that file(s) to be copied to. We'll copy the package.json and package-lock.json file into our working directory /app.
Note that, rather than copying the entire working directory, we are only copying the package.json file. This allows us to take advantage of cached Docker layers.Once we have our files inside the image, we can use the RUN command to execute the command npm install. This works exactly the same as if we were running npm install locally on our machine, but this time these Node modules will be installed into the node_modules directory inside our image.
At this point, we have an image that is based on node version 12.18.1 and we have installed our dependencies. The next thing we need to do is to add our source code into the image. We'll use the COPY command just like we did with our package.json files above.
The COPY command takes all the files located in the current directory and copies them into the image. Now, all we have to do is to tell Docker what command we want to run when our image is run inside of a container. We do this with the CMD command.
Here's the complete Dockerfile.
Create a .dockerignore file
To use a file in the build context, the Dockerfile refers to the file specified in an instruction, for example, a COPY instruction. To increase the build's performance, exclude files and directories by adding a .dockerignore file to the context directory. To improve the context load time create a .dockerignore file and add node_modules directory in it.
Build image
Now that we've created our Dockerfile, let's build our image. To do this, we use the docker build command. The docker build command builds Docker images from a Dockerfile and a 'context'. A build's context is the set of files located in the specified PATH or URL. The Docker build process can access any of the files located in the context.
The build command optionally takes a --tag flag. The tag is used to set the name of the image and an optional tag in the format ‘name:tag'. We'll leave off the optional 'tag' for now to help simplify things. If you do not pass a tag, Docker will use 'latest' as its default tag. You'll see this in the last line of the build output.
Let's build our first Docker image.
View local images
To see a list of images we have on our local machine, we have two options. One is to use the CLI and the other is to use Docker Desktop. Since we are currently working in the terminal let's take a look at listing images with the CLI.
To list images, simply run the images command.
Your exact output may vary, but you should see the image we just built node-docker:latest with the latest tag.
Tag images
An image name is made up of slash-separated name components. Name components may contain lowercase letters, digits and separators. A separator is defined as a period, one or two underscores, or one or more dashes. A name component may not start or end with a separator.
An image is made up of a manifest and a list of layers. In simple terms, a 'tag' points to a combination of these artifacts. You can have multiple tags for an image. Let's create a second tag for the image we built and take a look at its layers.
To create a new tag for the image we built above, run the following command.
The Docker tag command creates a new tag for an image. It does not create a new image. The tag points to the same image and is just another way to reference the image.
Now run the docker images command to see a list of our local images.
You can see that we have two images that start with node-docker. We know they are the same image because if you look at the IMAGE ID column, you can see that the values are the same for the two images.
Let's remove the tag that we just created. To do this, we'll use the rmi command. The rmi command stands for 'remove image'.
Notice that the response from Docker tells us that the image has not been removed but only 'untagged'. Verify this by running the images command.
Our image that was tagged with :v1.0.0 has been removed but we still have the node-docker:latest tag available on our machine.
Next steps
In this module, we took a look at setting up our example Node application that we will use for the rest of the tutorial. We also created a Dockerfile that we used to build our Docker image. Then, we took a look at tagging our images and removing images. In the next module, we'll take a look at how to:
Feedback
Help us improve this topic by providing your feedback. Let us know what you think by creating an issue in the Docker Docs GitHub repository. Alternatively, create a PR to suggest updates.
