A stream captures and transports data records that are continuously emitted from different data sources or producers. Scale-out within a stream is explicitly supported by means of shards, which are uniquely identified groups of data records in a stream. You specify and control the number of shards that a stream is composed of. Each shard can support reads up to five transactions per second, up to a maximum data read total of 2 MiB per second.
The target is to reach services to various platforms using HTTP technology, which is supported by many end user applications, browsers, mobile devices, other services. NET Web API is a request-response message exchange pattern, in which a client can request certain information from a server and a server responses the request to the client.
The response can be expected synchronously or asynchronously. When we think about a Web API usually several things pop up in your mind. The purpose of the service and its methods. Each method input s i.
Request Each method output i. In short, the following diagram below shows the matching of each method to the HTTP methods verbs.
But this approach may not be convenient for different scenarios. In this case, the framework lets you define an action level route to include the action as part of a request URI.
The following code shows how this can be configured. Suppose you want a method that deletes a file from a centralized repository and you want to use the same method to get the file as well.
Working with streaming data: Using the Twitter API to capture tweets If you've done any data science or data analysis work, you've probably read in a csv file or connected to a database and queried rows. Classes to support functional-style operations on streams of elements, such as map-reduce transformations on collections. You can use API operations to build a consumer that uses enhanced fan-out in Kinesis Data Streams. To register a consumer with enhanced fan-out using the Kinesis Data Streams API. Call RegisterStreamConsumer to register your application as a consumer that uses enhanced fan-out. Kinesis Data Streams generates an Amazon Resource Name (ARN) for the consumer and returns it in the .
See the picture below. HTTP method attribue is also helpful to define a suitable name for a service method. The other feature the framework provided is that the ability to facilitate an attribute routing template. This is similar to ASP. This lets you define several types of actions under the Web API service.
So when a request is made to a service method, you can pass a parameter as part of the request URI. There are various types of routing attributes that helps to decorate the Web API controller and its methods. See the reference section for list of Web API references. This is by far enough as introduction.
Data Streaming One of frequently performed operation through the internet is data streaming. The stream data can be a file located on a directory or binary data stored on database. In this article, there are two basic methods, namely Download and Upload are involved to accomplish data streaming.
The download is responsible for pulling stream data from the server whereas upload is responsible for saving stream data to server.Writes multiple data records into a Kinesis data stream in a single call (also referred to as a PutRecords request).
Use this operation to send data into the stream for data ingestion and processing. Internally, the add-on creates the Oracledb object as a singleton. Reloading it in the same mtb15.com process creates a new pointer to the same object.
Oracledb Constants. These constants are defined in the oracledb module. Usage is described later in this document. PutRecord.
Writes a single data record into an Amazon Kinesis data stream. Call PutRecord to send data into the stream for real-time ingestion and subsequent processing, one record at a time. Each shard can support writes up to 1, records per second, up to a maximum data write total of 1 MiB per second.
That's so fetch! Posted 24 March - and I've even included a meme There's been some confusion around the new fetch API recently.
Let's clear things up. PutRecord. Writes a single data record into an Amazon Kinesis data stream. Call PutRecord to send data into the stream for real-time ingestion and subsequent processing, one record at a time. Each shard can support writes up to 1, records per second, up to a maximum data write .