Generate Key Prive Key From Google Cloud Metadata

This document explains important concepts about using the Metadata API to access the list and attributes of Google Analytics columns.

Introduction

Nov 02, 2018  Highlight the whole Key field from the PuTTY Key Generator, and copy and paste it in the key data field in Google Cloud: Click create and wait for the virtual machine instance to be created. In the meantime, you can go to PuTTY. Go to SSH -A uth and browse for the private key file that you saved.

The Metadata API returns the list of columns (i.e., dimensions and metrics) exposed in the Google Analytics reporting APIs and their attributes. If you are new to the API, read the Metadata API Overview for an introduction to the Metadata API.

Before You Begin

  1. Follow the instructions to create a new project on the Google Cloud Platform Console or select an existing project. Create an Android-restricted API key for your project. Copy the resulting API key, go back to Android Studio, and paste the API key into the element in the googlemapsapi.xml file.
  2. Apr 10, 2020 You may see keys listed that you did not create. These are Google Cloud-managed keys used by Google Cloud services such as App Engine and Compute Engine. For more information on the difference between user and Google Cloud-managed keys, see Understanding service accounts.
  3. Ssh, scp and sftp should all work if you specify the instance's IP address. You can use DNS for this if you have a static IP address, or you can use the IP address from gcutil listinstances or the console. Once you know the IP address of the instance, you'll also need your ssh private key, which is usually at /.ssh/googlecomputeengine.Then you can connect via sftp as follows.
  4. Apr 10, 2020 To get an API key: Visit the Google Cloud Platform Console. Click the project drop-down and select or create the project for which you want to add an API key. Click the menu button and select APIs & Services Credentials. On the Credentials page, click Create credentials API key. The API key created dialog displays your newly created API key.
  5. Only your encrypted passphrase is sent to Rackspace. All communication between your computer and Rackspace servers for Cloud Backup is done over SSL, so no one can intercept and read your messages. You can, however, encrypt your passphrase yourself by using the public and private keys for your system.

All Google Analytics APIs are accessed in a similar manner. Before you begin with the Metadata API you should:

  • Read the client libraries page for a complete list of programming language specific client libraries that work with the API.
  • Read the Reference Guide to learn about the API interface and accessing data without a client library.

Each client library provides a single analytics service object to access all Metadata API data. To create the service object for use with the Metadata API you generally have to go through the following steps:

  1. Register your application in the Google API Console.
  2. Create an Analytics service object and set the API Key.

Registration & API Key

Your application needs to identify itself every time it sends a request tothe Analytics API, by including an API key with eachrequest.

Acquiring and using an API key

To acquire an API key:

  1. Open the Credentials page in the API Console.
  2. This API supports two types of credentials. Create whichever credentials are appropriate for your project:

    • OAuth 2.0: Whenever your application requests private user data, it must send an OAuth 2.0 token along with the request. Your application first sends a client ID and, possibly, a client secret to obtain a token. You can generate OAuth 2.0 credentials for web applications, service accounts, or installed applications.

      Note: Since this API doesn't have any methods that require OAuth 2.0 authorization, you might only need to obtain API keys, which are described below. However, if your application calls other APIs that require user authorization, then you still need OAuth 2.0 credentials.

      For more information, see the OAuth 2.0 documentation.

    • API keys: A request that does not provide an OAuth 2.0 token must send an API key. The key identifies your project and provides API access, quota, and reports. Microsoft office standard 2016 product key generator software.

      The API supports several types of restrictions on API keys. If the API key that you need doesn't already exist, then create an API key in the Console by clicking Create credentials > API key. You can restrict the key before using it in production by clicking Restrict key and selecting one of the Restrictions.

To keep your API keys secure, follow the best practices forsecurely using API keys.

After you have an API key, your application can append the query parameterkey=yourAPIKey to all request URLs.

The API key is safe for embedding in URLs; it doesn't need any encoding.

Note: If your application has already authenticated and authorized a user (e.g. using OAuth 2.0) then any request you make to the Metadata API using an authorized Analytics service object will automatically identify your application. In this case you don't need to set the API Key.

The following code snippets illustrate how to set the API Key for various client libraries:

Column Attributes

The Metadata API response includes an attributeNames property that lists all valid column attributes. Each column has an attributes property that includes a subset of attributes that are applicable to the column.

The following table is the complete list of valid attributes:

** The appUiName attribute is deprecated. You should remove any code that uses the appUiName attribute and only use the uiName attribute. Review the Data Deprecation Policy for details on attribute removal.

Use Cases

The Metadata API can be used to solve the following use cases:

Deprecated Columns

If a column (i.e. a dimension or metric) is deprecated then its status attribute will be set to DEPRECATED.

Note: Your application should check for and stop using DEPRECATED columns in reporting API queries. If a replacement column is available it should be used instead. DEPRECATED columns will be removed from the Reporting and Metadata APIs once the deprecation period ends, and queries for those columns will return an error.

The following snippet shows how to use the status attribute to check if a column is deprecated:

If a column is renamed/removed then its status attribute will be set to DEPRECATED and it may have a replacedBy attribute set to the Id of the replacement column.

The following snippet shows how to use the replacedBy attribute to get the Id of the replacement column:

Column Names

The uiName attribute is the dimension or metric name that is used in Google Analytics user interfaces (e.g. Windows 8 pro with media center product key generator. the web interface).

The appUiName attribute is deprecated. You should remove any code that uses the appUiName attribute and only use the uiName attribute. Review the Data Deprecation Policy for details on attribute removal.

The following snippet shows how to retrieve the UI name of a column:

Templatized Columns

Templatized columns include dimensions or metrics with a numeric index. For example, ga:goalXXStarts, ga:dimensionXX, ga:metricXX, etc. A templatized column will have minTemplateIndex and maxTemplateIndex attributes that define the index range.

The following snippet shows how to check if a column is templatized:

The following snippet shows how to retrieve a list of valid IDs for a templatized column:

Generate Key Private Key From Google Cloud Metadata Mac

Calculated Columns

A column that is derived from a calculation of other columns will have a calculation attribute. E.g. The calculation for ga:percentNewSessions is ga:newSessions / ga:sessions.

The following example shows how to check if a column is calculated and how to retrieve the calculation for a column:

Generate Key Private Key From Google Cloud Metadata Software

Columns and Segments

The allowedInSegments attribute allows you to check whether a column can be used in the segment query parameter.

The following example shows how to determine if a column can be used in segments:

Added in API Version

Use the addedInApiVersion attribute to check whether a column can be used in a reporting API of a specified version. For example, call the following function to verify that the column can be used in the Core Reporting API V3:

ETag

An ETag is included in every Metadata API response. The ETag is an identifier that can be used to cache and update Metadata API responses. This is important because columns (i.e dimensions and metrics) data can remain unchanged for long periods of time and it's ineffiecient to make uncessary requests and updates when cached data can be used.

Generate Key Private Key From Google Cloud Metadata Free

If you store the ETag of a column collection it can be primarily be used in 2 ways: to check if a cached Metadata API response is up-to-date, and to include it as part of a Metadata API request.

Checking a Cached Response

Generate Key Private Key From Google Cloud Metadata File

If you compare the ETag value returned from a Metadata API response and it's equivalent to the ETag for a cached resource then the cached version is current. If the ETags aren't equivalent then update your application and refresh the cache with the latest response.

If you want to retrieve only the ETag value from the Metadata API, set the fields query parameter to etag when making a request. See an example.

Using an ETag with an API Request

If you have a cached version of a column collection then you can include its ETag value in a Metadata API request by setting the If-None-Match HTTP header field. The Metadata API will check the ETag value and either respond with an updated version of the resource and a 200 OK HTTP status or an empty response with a 304 Not Modified status if your cached version is current.

Note: The client library you're using to make Metadata API requests may recognize and use an ETag or provide support to do so. You should review the library documentation to confirm if ETag support is available.