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    Asp.NetCoreWebApi图片上传接口(二)集成IdentityServer4授权访问(附源码)

    上一篇文章中,给大家讲解了如何通过 Asp.Net Core Web Api实现图片上传的接口,具体的可以[点这里查看][https://www.cnblogs.com/yilezhu/p/9297009.html] 。这个接口是一个公开的接口,如何发布的话,任何知道调用方法的"任何人"都能任意的调用这个接口,俗称“裸奔”。这时候我们就应该给接口加入认证以及访问控制机制,来加强安全性!那么我们怎么来实现接口的认证以及访问控制呢?这时候部分人就会很懵逼了,还有一部分人就会联想到 OpenID Connect 和 OAuth 2.0了!可是怎么实现呢?从到到位搭一个这样的框架,会累死我滴,可能还要经过很长时间的测试呢!别担心,这时候就体现出Asp.Net Core社区的强大了,我们的主角IdentityServer4闪亮登场!

    04

    Asp.NetCoreWebApi图片上传接口(二)集成IdentityServer4授权访问(附源码)

    上一篇文章中,给大家讲解了如何通过 Asp.Net Core Web Api实现图片上传的接口,具体的可以[点这里查看][https://www.cnblogs.com/yilezhu/p/9297009.html] 。这个接口是一个公开的接口,如何发布的话,任何知道调用方法的"任何人"都能任意的调用这个接口,俗称“裸奔”。这时候我们就应该给接口加入认证以及访问控制机制,来加强安全性!那么我们怎么来实现接口的认证以及访问控制呢?这时候部分人就会很懵逼了,还有一部分人就会联想到 OpenID Connect 和 OAuth 2.0了!可是怎么实现呢?从到到位搭一个这样的框架,会累死我滴,可能还要经过很长时间的测试呢!别担心,这时候就体现出Asp.Net Core社区的强大了,我们的主角IdentityServer4闪亮登场!

    01

    Import Kafka data into OSS using E-MapReduce service

    Overview Kafka is a frequently-used message queue in open-source communities. Although Kafka (Confluent) officially provides plug-ins to import data directly from Kafka to HDFS's connector, Alibaba Cloud provides no official support for the file storage system OSS. This article will give a simple example to implement data writes from Kafka to Alibaba Cloud OSS. Because Alibaba Cloud E-MapReduce service integrates a large number of open-source components and docking tools for Alibaba Cloud, in this article, the example is directly run in the E-MapReduce cluster. This example uses the open-source Flume tool as a transit to connect Kafka and OSS. Flume open-source components may also appear on the E-MapReduce platform in the future. Scenario example Next we will name a simple example. If you already have an online Kafka cluster, you can directly jump to Step 4. 1. In the Kafka Home directory, start the Kafka service process. Configure the Zookeeper address in the configuration file to the service address emr-header-1:2181 bin/kafka-server-start.sh config/server.properties 2. Create a Kafka topic with a name of test bin/kafka-topics.sh --create --zookeeper emr-header-1:2181 \ --replication-factor 1 --partitions 1 --topic test 3. Write data to Kafka test topic and the data content is the performance monitoring data of the local machine vmstat 1 | bin/kafka-console-producer.sh --broker-list localhost:9092 --topic test 4. Configure and start the Flume service in the Flume Home directory Create a new configuration file: conf/kafka-example.conf. In specific, specify the source as the corresponding topic for Kafka, and use sink as the HDFS Sinker. Specify the path as the OSS path. Because the E-MapReduce service implements an efficient OSS FileSystem (compatible with Hadoop FileSystem) for us, the OSS path can be specified directly, and the HDFS Sinker data will be automatically written to OSS. # Name the components on this agent a1.sources = source1 a1.sinks = oss1 a1.channels = c1 # Describe/configure

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