top of page

Brain aneurysm support group

Public·19 members


When you create a Lambda function, you package your function code into a deployment package. Lambda supports two types of deployment packages: container images and .zip file archives. The workflow to create a function depends on the deployment package type. To configure a function defined as a container image, see Deploying Lambda functions as container images.



When you create a function defined with a .zip file archive, you choose a code template, the language version, and the execution role for the function. You add your function code after Lambda creates the function.

Lambda creates the new function. You can now use the console to add the function code and configure other function parameters and features. For code deployment instructions, see the handler page for the runtime your function uses.

When you save your function code, the Lambda console creates a .zip file archive deployment package. When you develop your function code outside of the console (using an IDE) you need to create a deployment package to upload your code to the Lambda function.

For scripting languages (Node.js, Python, and Ruby), you can edit your function code in the embedded code editor. If the code is larger than 3MB, or if you need to add libraries, or for languages that the editor doesn't support (Java, Go, C#), you must upload your function code as a .zip archive. If the .zip file archive is smaller than 50 MB, you can upload the .zip file archive from your local machine. If the file is larger than 50 MB, upload the file to the function from an Amazon S3 bucket.

If you update the function configuration to use a new runtime, you may need to update the function code to be compatible with the new runtime. If you update the function configuration to use a different runtime, you must provide new function code that is compatible with the runtime and architecture. For instructions on how to create a deployment package for the function code, see the handler page for the runtime that the function uses.

However, if you provide your function code using a .zip file archive deployment package, you must prepare a new .zip file archive that is compiled and built correctly for the target runtime and instruction-set architecture. For instructions, see the handler page for your function runtime.

You can use AWS CloudFormation to create a Lambda function that uses a .zip file archive. In your AWS CloudFormation template, the AWS::Lambda::Function resource specifies the Lambda function. For descriptions of the properties in the AWS::Lambda::Function resource, see AWS::Lambda::Function in the AWS CloudFormation User Guide.

Your AWS Lambda function's code consists of scripts or compiled programs and their dependencies. You use a deployment package to deploy your function code to Lambda. Lambda supports two types of deployment packages: container images and .zip file archives.

This page describes how to create your deployment package as a .zip file or Jar file, and then use the deployment package to deploy your function code to AWS Lambda using the AWS Command Line Interface (AWS CLI).

To create a deployment package, compile your function code and dependencies into a single .zip file or Java Archive (JAR) file. For Gradle, use the Zip build type. For Apache Maven, use the Maven Shade plugin.

To update a function's code with the AWS Command Line Interface (AWS CLI) or AWS SDK, use the UpdateFunctionCode API operation. For the AWS CLI, use the update-function-code command. The following command uploads a deployment package named in the current directory:

Under /src/myFirstFunction you might have a file called aws-lambda-tools-defaults.json. In that file, there will be a key "function-handler" and the value should point to your function handler, in the format: ::.::

Some applications store their items in databases or custom file types. While Windows Search can index the name and properties of the file, Windows has no knowledge of the content of the file. As a result, such items cannot be indexed or exposed in the Windows Shell. By creating a protocol handler you can make these items available for indexing. You can also index a compound file format such as a .zip file.

When users need to search legacy databases, email stores or other data structures that are not supported by Windows Search, you should first determine whether a protocol handler already exists for that data store, perhaps for use with another application such as SharePoint Server. If so, you can install that protocol handler on the system. Windows Search protocol handlers use design specifications similar to SharePoint Server, and they can often be used interchangeably.

Before a third-party developer of new file formats and data stores can get those formats and stores to appear in query results in Windows Explorer, the developer must implement a Shell data source. A Shell data source is a component that is used to extend the Shell namespace and expose items in a data store. A data store is a repository of data. A data store can be exposed to the Shell programming model as a container that uses a Shell data source. The items in a data store can be indexed by the Windows Search system using a protocol handler. The protocol handler implements the protocol for accessing a content source in its native format. The ISearchProtocol and ISearchProtocol2 interfaces are used to implement a custom protocol handler to expand the data sources that can be indexed.

If you want the query results to appear in Windows Explorer, you must implement a Shell data source before you can create a protocol handler to extend the index. However, if all queries will be programmatic (through OLE DB for example) and interpreted by the application's code rather than the Shell, a Shell namespace while still preferred is not strictly required.

For a list of handlers identified by the developer scenario you are trying to achieve, see "Overview of Handlers" in Windows Search as a Development Platform. For information on creating handlers, see Registering Shell Extensions, Context Menu, and File Type Handlers.

If the data store is also a container (such as a file system folder), you must implement a filter to enumerate the URLs in the container. If the data store contains data or file types other than one of the 200 file types supported by Windows Search, you must implement a filter to access and index the contents of items in the store. Windows Search uses protocol handler and IFilter technology similar to that used by SharePoint Server. If you already have filters for a specific store and file type installed on the system being indexed, Windows Search may be able to use the existing interfaces to index this data.

Protocol handlers give the Windows Search indexer access to data stores, enabling the indexer to crawl the nodes of a data store and extract relevant information to index. Windows Search, for example, ships with protocol handlers for file system stores and for some versions of both Microsoft Outlook data stores. When indexing Outlook email, the protocol handler crawls all messages in a set of Outlook folders and extracts information from each message and attachment. This information is passed to the indexer for inclusion in the Windows Search catalog.

A compound file format can be indexed so that individual items in the file can can be returned as individual results. A compound file format such as a compressed file with a .zip file name extension is essentially a data store and can be treated as such for indexing purposes. The following example displays a .zip file in the file system namespace (FILE://c:/test/ in which there are both subfolders and individual items.

The FILE protocol handler discovers when FILE://c:/test/ changes by monitoring file system change logs, and it will invoke an IFilter registered for .zip files on that file when the file changes, but it has no knowledge of the internal structure of the .zip file itself.

You must inform the indexer that the compound file format is a data store. It is necessary to do so for individual items to be indexed and retrieved as unique entities. After you have implemented a Shell data source and performed the following steps, you will have a protocol handler that can process and expose the data from a compound file format (a .zip file) as individual items.

Create a protocol handler (using ISearchProtocol or ISearchProtocol2) for .zip files that has the ability bind to the source file. For more information, see Installing and Registering Protocol Handlers.

Using the above sample data for c:\test\, the unique URLs would be as follows. With these URLs the protocol handler has the information necessary to bind to the .zip file and enumerate the child URLs including the inner files so that they can be bound to and indexed by the .doc and .txt filters.

Windows Search requires a start page for a protocol in order to know what URLs to crawl incrementally and which URLs should be ignored when they are found. But we can't start with a URL for each .zip file, because we don't know where each .zip file is. Hence, the .zip protocol handler's start page URL must be able to enumerate everything at the root of the escaped paths of all of the .zip files. Those .zip files are not necessarily in the FILE: namespace and could be a MAPI type URL that points to a .zip file as an attachment, for example.

Register a root such as .zip:/// as a start page so that all .zip files start there, in effect. When processing the root .zip: URL, your protocol handler should generate the list of child URLs to emit by querying Windows Search for all of the URLs with System.FileExtension = ".zip".

When Windows Search periodically does an incremental crawl on your .zip:/// root URL, you must reflect back the list of URLs that Windows Search is already maintaining that are .zip URLs. If a deletion is discovered in the native store where the .zip file is stored, it does not appear in your enumeration, and that branch of the tree in the .zip is removed. 041b061a72


Welcome to the group! You can connect with other members, ge...
bottom of page