Kafka streams java example


Examples will include analytic models built with TensorFlow, Keras, H2O, Python, DeepLearning4J and other technologies. Introduction. GitHub Gist: instantly share code, notes, and snippets. Spring provides good support for Kafka and provides the abstraction layers to work with over the native Kafka Java clients. All these examples and code snippets can be found in the GitHub project – this is a Maven project, so it should be easy to import and run as it is. Sep 21, 2017 · Basic Example for Spark Structured Streaming & Kafka Integration. topic1 has some mainstream data to generate new multiple data-stream when joined with topic2. Let take one example. 3. If you missed part 1 and part 2 read it here. Kafka aims to provide low-latency ingestion of large amounts of event data. 1 x Windows 10 Eclipse Mars Java 1. Streams Quickstart Java License: Apache 2. /mvnw verify -DskipTests=true cf create-user-provided-service cp -p kafka. In this Kafka pub sub example you will learn, Kafka producer components (producer api, serializer and partition strategy) Kafka producer architecture. The Top 14 Java Kafka Avro Schema Registry Open Source Projects on Github. May 08, 2017 · Kafka Summit - Introduction to Kafka Streams with a Real-Life Example On our project, we built a great system to analyze customer records in real time. Following is a step by step process to write a simple Consumer Example in Apache Kafka. e. spring. Materialized<K,V,S>. jar. It is a simple and lightweight client library, which can be easily embedded in any Java app or microservice, where the input and output data are stored in Kafka . It let us stream messages from one service to another and process, aggregate and group them without the need to explicitly poll, parse and send them back to other Kafka topics. * * In this example, the input stream reads from a topic named "TextLinesTopic", where the values of Apr 08, 2020 · In this tutorial, you’re going to use Apache Kafka and Quarkus to create a secure, scalable web application. 04 since I wanted to test out how Kafka works. In this demo, I developed a Kafka Stream that reads the tweets containing “Java” word from Aug 16, 2021 · Kafka Streams. For more details on streams from sockets and files, see the API documentations of the relevant functions in StreamingContext for Scala, JavaStreamingContext for Java, and StreamingContext for Python. Aug 17, 2020 · Kafka Clients: They allow you to write distributed applications and microservices that read, write, and process streams of events in parallel, at scale, and in a fault-tolerant manner. Streams Quickstart Java. 10 to read data from and write data to Kafka. binder. Ensure you give the full path to your jar file. We have store-api that inserts/updates records in MySQL; Source connectors that monitor inserted/updated records in MySQL and push messages related to those changes to Kafka; Sink connectors that read messages from Self-contained examples of Spark streaming integrated with Kafka. Supplier for sources Sep 09, 2019 · Kafka Producer and Consumer example (in Java) Updated: Sep 14, 2020. 10 release in May 2016, Kafka Streams is a lightweight open source Java library for building stream processing applications on top of Kafka. Application Reset Tool Implementing Kafka Streams . The sample code produces and consumes messages. Dependencies. You can use Kafka Streams to easily develop lightweight, scalable, and fault-tolerant stream processing apps. By default, it is not necessary to create the Kafka topic manually, Kafka creates it automatically with default parameters. In this example we will be using the Java Kafka Streams API to count the number of times different words occur in a topic. Properties instance. Pipe Code Sample. I. Elements in the stream are assigned a key – the continent – and are then counted-by-key. Jul 23, 2017 · One example demonstrates the use of Kafka Streams to combine data from two streams (different topics) and send them to a single stream (topic) using the High-Level DSL. Jun 21, 2018 · Example: processing streams of events from multiple sources with Apache Kafka and Spark. Kafka has four core APIs: The Producer API allows an application to publish a stream of records to one or more Kafka topics. Kafka Clients are available for Java, Scala, Python, C, and many other languages. For Scala/Java applications using SBT/Maven project definitions, link your application with the following artifact: Kafka Streams WordCount Example. Working with Kafka Streams API. You don't need to create a separate architecture for it. May 15, 2017 · Kafka Tutorial: Writing a Kafka Producer in Java. The binder will isolate each such processor to its own application ID and StreamsBuilder. Oct 09, 2019 · In this post, we will take a look at Kafka Streams. We also created replicated Kafka topic called my-example-topic, then you used the Kafka producer to send records (synchronously and asynchronously). Transferring big tuples from PE to PE or from Java operators to C++ operators involves always additional serialization and de-serialization of the tuples limiting the tuple rate in the Streams runtime. S - type of state store (note: state stores always have key/value types <Bytes,byte []>. To learn about Kafka Streams, you need to have a basic idea about Kafka to understand better. Kafka Streams is a library for building streaming applications, specifically applications that transform input Kafka topics into output Kafka topics (or call to external services, updates to databases, etc). Kafka Streams is a library that runs on Kafka. The source code and examples in this book are using Java 8, and I will be using Java 8 lambda syntax, so experience with lambda will be helpful. During runtime Spring will create a java proxy based implementation of the GreetingsStreams interface that can be injected as a Spring Bean anywhere in the code to access our two streams. Step 1:- First we need to add few of the maven dependensies for the same in our pom. Now, the consumer For most traditional tools which don't have a native kafka stream connector a custom Java coding is also an option. 04. serialization. 0 API) java. May 15, 2017 · This tutorial picks up right where Kafka Tutorial: Creating a Kafka Producer in Java left off. Let’s insert some record into our Topic. Apache Kafka Streams API is an Open-Source, Robust, Best-in-class, Horizontally scalable messaging system. Here is an in-depth example of utilizing the Java Kafka Streams API complete with sample code. 2 are all in a single Ubuntu 16. Please note that this connector should be used just for test purposes and is not suitable for production scenarios. The basic concept is that you just provide implementations of Java functional interfaces: java. cleanUp (); streams. This working example could be helpful to find the most frequent log entries over a certain time period. Topology. This is not a "theoretical guide" about Kafka Stream (although I have covered some of those aspects in Aug 06, 2018 · In Kafka tutorial #3 - JSON SerDes, I introduced the name SerDe but we had 2 separate classes for the serializer and the deserializer. At first sight, you might spot that the definition of processing in Kafka Streams is surprisingly similar to Stream API from Java. Kafka Streams is designed to consume from & produce data to Kafka topics. Add the kafka_2. You will send records with the Kafka producer. It provides simple parallelism, 1:1 correspondence between Kafka partitions and Spark partitions, and access to offsets and metadata. Javadoc. Advanced Sources. Apache Kafka is an open-source stream processing platform developed by the Apache Software Foundation written in Scala and Java. Create a java. we cannot feed data from the outside world to kafka stream. 12 package to your application. Jul 26, 2018 · Kafka streams Java application to aggregate messages using a session window In this post, I’ll share a Kafka streams Java app that listens on an input topic, aggregates using a session window to group by message, and output to another topic. Mar 05, 2020 · Learn stream processing with Kafka Streams: Stateless operations. There are two projects included in this repository: Producer-Consumer: This contains a producer and consumer that use a Kafka topic named test . Aug 14, 2016 · Apache Kafka is a distributed pub-sub messaging system that scales horizontally and has built-in message durability and delivery guarantees. This example is an excerpt from the Book Kafka Streams – Real-time Stream Processing For a detailed explanation of the example and much more, you can get access to the Book using below link. You create a new replicated Kafka topic called my-example-topic, then you create a Kafka producer that uses this topic to send records. We have store-api that inserts/updates records in MySQL; Source connectors that monitor inserted/updated records in MySQL and push messages related to those changes to Kafka; Sink connectors that read messages from Aug 23, 2019 · Diagram Diagram of the example/PoC Kafka Streams application. Consumer beans within a single application. Example: Aug 06, 2019 · Kafka Streams is a better way, as it is a client-side library to move interaction with Kafka to another level. 0-SNAPSHOT-jar-with-dependencies. stream. Jan 25, 2021 · Kafka Streams is a Java client library that uses underlying components of Apache Kafka to process streaming data. Kafka Streams is supported on Heroku with both dedicated and basic Kafka plans (with some additional setup required for Jul 09, 2018 · Apache Kafka. Kafka Streams Demo. Application Reset Tool May 15, 2017 · Kafka Tutorial: Writing a Kafka Producer in Java. ThingsBoard rule engine supports basic analysis of incoming telemetry data, for example, threshold crossing. Feb 11, 2017 · The Kafka Streams application consists of a single Java Class that creates a stream from the Kafka Topic. , and examples for all of them, and build a Kafka Cluster. But the process should remain same for most of the other IDEs. Last September, my coworker Iván Gutiérrez and me, spoke to our cowokers how to implement Event sourcing with Kafka and in this talk, I developed a demo with the goal of strengthen the theoretical concepts. It is useful when you are facing, both a source and a target system of your data being Kafka. 8 Direct Stream approach. Kafka Streams keeps the serializer and the deserializer together, and uses the org. public class Materialized<K,V,S extends StateStore > extends java. Type Parameters: K - type of record key. In the last tutorial, we created simple Java example that creates a Kafka producer. g. The (simple) soluti o n is to add the below configuration — this will serve as the default and works for String keys and values. 2, out of these sources, Kafka and Kinesis are available in the Python API. Used to I'm learning Kafka Streams and try to achieve the following: Created 2 Kafka topics(say topic1, topic2) with null as key and JSONString as value. Function or java. Unlock this course with a free trial Join today to access over 16,800 courses taught by industry experts. Create Java Project. Kafka Streams is a programming library used for creating Java or Scala streaming applications and, specifically, building streaming applications that transform input topics into output topics. Installing Java 17 Installing Zookeeper 18 Kafka Streams by Example 264 Word Count 265 Kafka Streams: Architecture Overview 272 Sep 20, 2019 · Kafka Streams. cloud. start (); // usually the stream application would be running forever, // in this example we just let it run for some time and stop since the input data is finite. W h at is “event” in Kafka? When you read or write to Kafka, It is in the Dec 02, 2019 · Spring Cloud Stream binder for Kafka Streams will make it easy to provide multiple processors expressed as java. We will give a short introduction, but the main part of the blog will be about writing some simple Java applications. sleep ( 5000L ); Best Java code snippets using org. 8 to test out the Kafka Java API, I have also tried using Ubuntu Desktop 16. util. lang. In layman terms, it is an upgraded Kafka Messaging System built on top of Apache Kafka. In this example, we are going to develop an example where there is one service that is putting songs description to the songs topic. Kafka is a stream-processing platform built by LinkedIn and currently developed under the umbrella of the Apache Software Foundation. We pioneered a microservices architecture using Spark and Kafka and we had to tackle many technical challenges. Implementation of Apache Kafka's Streams API in Python. The KafkaProducer class provides an option to connect a Kafka broker in its constructor with the following methods. In Kafka Streams, data is stored in Kafka clusters. Jul 08, 2021 · Event Streams is directly integrated with the SQL Query service — this tutorial shows you how to run a fully managed stream data ingestion from Kafka into Parquet on Cloud Object Storage. Serde interface for that. Linking. Java: Code Example for Apache Kafka®¶ In this tutorial, you will run a Java client application that produces messages to and consumes messages from an Apache Kafka® cluster. Note: This tutorial focuses on a simple application to get you started. Jan 16, 2019 · This happens because Kafka Streams does not know how to convert the raw bytes into String (which is the type for the key as well as the value in the above example) Possible solutions. You can use Kafka Streams to deploy to containers and virtual machines, and write Java (and Scala) applications. Materialized (kafka 2. These examples are extracted from open source projects. Big Kafka messages are most likely modeled as blob type attributes in SPL. Self-contained examples of Spark streaming integrated with Kafka. This is the first in a series of blog posts on Kafka Streams and its APIs. Visually, an example of a Kafka Streams architecture may look like the following. Oct 20, 2018 · CQRS with Kafka Streams. It is a simple and lightweight client library, which can be easily embedded in any Java app or microservice, where the input and output data are stored in Kafka clusters. You’ll be able to follow the example no matter what you use to run Kafka or Spark. StreamsConfig. It allows: Publishing and subscribing to streams of records. For example, in the following diagram, we can see how we can get the balance of a customer via an Http call. This tutorial explains you what is and how to create a Kafka Stream. It provides a Low-level API for building topologies of processors As mentioned, Kafka Streams is used to write stream processors where the input and output are Kafka topics. This section will provide a quick overview of Kafka Streams and what “state” means in the context of Kafka Streams based applications. Oct 01, 2018 · Kafka is run as a cluster on one or more servers that can span multiple datacenters. Kafka Streams Example. In this example, we shall use Eclipse. containsKey (INFRAMANAGER_TOPIC), "Infra Manager Topic name is not Jan 03, 2019 · These are standard properties that are well known, and you can read all about them here. IoT data analytics using Kafka, Kafka Streams and ThingsBoard. A Kafka client that allows for performing continuous computation on input coming from one or more input topics and sends output to zero, one, or more output topics. The application will essentially be a simple proxy application See a Kafka Streams hands-on example in this video. This way, we are going to get more familiar with Kafka Streams from a practical point of view. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. Provides a Kafka Streams demo example that creates a stream and topics and runs the WordCountDemo class code. Sep 16, 2019 · Overview of Kafka Streams. streams KafkaStreams. The kafka-streams-examples GitHub repo is a curated repo with examples that demonstrate the use of Kafka Streams DSL, the low-level Processor API, Java 8 lambda expressions, reading and writing Avro data, and implementing unit tests with TopologyTestDriver and end-to-end integration tests using embedded Kafka clusters. It's highly Apr 30, 2020 · Curious about learning more about Data Science and Big-Data Hadoop. Running the code To build and run the PoC application, in addition to Maven and Java, we also need a Kafka broker. * Note: This example uses Java 8 functionality and thus works with Java 8+ only. Mar 08, 2020 · Kafka Streams allows direct read-only queries of the State Stores by applications external to the streams application that created the State Stores, through a feature called Interactive Queries. Sep 09, 2019 · Kafka Producer and Consumer example (in Java) Updated: Sep 14, 2020. Set the parameters. The first is the type of the Partition key, the second the type of the message. 0 or higher) Structured Streaming integration for Kafka 0. The result (the running count of countries per continent) is routed to an outbound stream that produces messages to a second Kafka Topic. After you run the tutorial, use the provided source code as a reference to develop your own Kafka client application. The Spark Streaming integration for Kafka 0. json cf push --no-start cf bind-service spring-kafka-avro cp cf start spring-kafka-avro Kafka Streams example The jar is containing two application - a webservice that produces data, and filtering processor (based on SpringCloud Streams and Kafka Streams). Dec 29, 2020 · For Apache kafka stream it is a mandate that it should take the data from any topic i. With Spring, develop application to interact with Apache Kafka is becoming easier. From the Azkarra Streams GitHub README, its features Jan 23, 2017 · An overview of Reactive Streams and what it will look like in JDK 9, and the Akka Streams API implementation for Java and Scala. In this demo, I developed a Kafka Stream that reads the tweets containing “Java” word from Aug 13, 2018 · Describes how to set up and run a Kafka Streams Java application. Sep 20, 2019 · Kafka Streams. producer. 'Part 3 - Writing a Spring Boot Kafka Producer We'll go over the steps necessary to write a simple producer for a kafka topic by using spring boot. Thread. Kafka Consumer with Example Java Application. Solutions and sample implementations; Kafka set up in 15 minutes - how to install and configure Kafka in 5 steps from scratch in 15 minutes; Kafka Pentaho ETL Example - how to use Pentaho Data Integration ETL components to read Oct 20, 2018 · CQRS with Kafka Streams. Introduction In this short… Aug 14, 2016 · Apache Kafka is a distributed pub-sub messaging system that scales horizontally and has built-in message durability and delivery guarantees. streams. The project aims to provide a unified, high-throughput, low-latency platform for handling real-time data feeds. Storing streams of records in a fault-tolerant, durable way. Implementing Kafka Streams . An example would be when we want to process Apache Kafka is an open-source stream processing platform developed by the Apache Software Foundation written in Scala and Java. 1. Apr 06, 2017 · So all the packages from CP 3. We have store-api that inserts/updates records in MySQL; Source connectors that monitor inserted/updated records in MySQL and push messages related to those changes to Kafka; Sink connectors that read messages from Installing Java 17 Installing Zookeeper 18 Kafka Streams by Example 264 Word Count 265 Kafka Streams: Architecture Overview 272 Mar 26, 2019 · The source code and examples in this book are using Java 8, and I will be using Java 8 lambda syntax, so experience with lambda will be helpful. The idea is that Kafka Stream is a standard Java application There's no cluster to run it on, it just works, just like that. Solutions and sample implementations; Kafka set up in 15 minutes - how to install and configure Kafka in 5 steps from scratch in 15 minutes; Kafka Pentaho ETL Example - how to use Pentaho Data Integration ETL components to read Nov 25, 2017 · Kafka Streams. Kafka Streams WordCount Example. apache. Each record consists of a key, a value, and a timestamp. Jun 15, 2021 · Run the application in a terminal using the following command. The application will use Kafka Streams and a small Kafka cluster to consume data from a server and push it to a client application as a real-time stream. Machine-generated data, emerging in a real-time streaming fashion, is the kind of big data with prevalent growth today. Kafka is used for building real-time streaming data pipelines that reliably get data between many independent systems or applications. Akka Streams Kafka, MQTT, AMQP, Streaming HTTP/TCP/FileIO and more). common. Kafka Streams is a library that runs on Kafka. Apache Kafka is an open-source streaming system. It is a simple and lightweight client library, which can be easily embedded in any Java app or microservice, where the input and output data are stored in Kafka Nov 29, 2019 · Azkarra Streams is the first microframework for Kafka Stream, which is a client library for building apps and microservices. V - type of record value. function. In this tutorial, we are going to create simple Java example that creates a Kafka producer. xml. By the end of these series of Kafka Tutorials, you shall learn Kafka Architecture, building blocks of Kafka : Topics, Producers, Consumers, Connectors, etc. Spring Boot gives Java programmers a lot of automatic helpers, and lead to quick large scale adoption of the project by Java developers. We have store-api that inserts/updates records in MySQL; Source connectors that monitor inserted/updated records in MySQL and push messages related to those changes to Kafka; Sink connectors that read messages from This is part 3 and part 4 from the series of blogs from Marko Švaljek regarding Stream Processing With Spring, Kafka, Spark and Cassandra. kstream. java -jar target/kafka-streams-demo-1. org. The following examples show how to use org. Overview of Kafka Streams. 10 is similar in design to the 0. Developing Consumers and Producers in Java. . You can configure Kafka Streams by specifying parameters in a java. The idea behind rule engine is to provide functionality to route data from IoT Devices to different plugins, based on device attributes or the data itself. Jul 01, 2020 · Kafka Streams is a Java library developed to help applications that do stream processing built on Kafka. KafkaProducer class provides send method to send messages asynchronously to a topic. KStreamBuilder (Showing top 20 results out of 315) @SuppressWarnings ( "unchecked" ) @Override public void configure (Map<String, Object> configs) { // Get the infra manager topic name Validate. I’m running my Kafka and Spark on Azure using services like Azure Databricks and HDInsight. 0: Categories: Maven Archetypes: Tags: streaming archetype maven kafka apache example: Central (27 Spark Streaming with Kafka Example. Having good fundamental knowledge of Kafka is essential to get the most out of Kafka Streams. streams. This package is available in maven: Jul 11, 2017 · 2. Aug 16, 2021 · Kafka Streams. We have store-api that inserts/updates records in MySQL; Source connectors that monitor inserted/updated records in MySQL and push messages related to those changes to Kafka; Sink connectors that read messages from Big Kafka messages are most likely modeled as blob type attributes in SPL. 2 in Ubuntu Server 16. 10. Here is the Java code of this interface: Jan 29, 2021 · The examples in this repository demonstrate how to use the Kafka Consumer, Producer, and Streaming APIs with a Kafka on HDInsight cluster. Machine Learning + Kafka Streams Examples. The signature of send () is as follows. If you’ve worked with Kafka before, Kafka Streams is going to be easy to understand. Use this, for example, if you wish to customize the trusted packages in a BinderHeaderMapper bean that uses JSON deserialization for the headers. It’s a cluster-based technology and has evolved from its origins at LinkedIn to become the defacto standard messaging system enterprises use to move massive amounts of data through transformation pipelines. Structured Streaming + Kafka Integration Guide (Kafka broker version 0. In a second terminal, start a kafka producer using the following command. 2. validState (configs. The consumer has to be rewritten as. Object. Data from topic1(no duplicates) have multiple matching entries in topic2. 04 Eclipse to see is it an OS issue. This article has an example as well. Python API As of Spark 3. This means I don’t have to manage infrastructure, Azure does it for me. Sep 12, 2020 · Spring Cloud Stream can help you write even more generic code that you can quickly integrate with a variety of modern messaging systems (e. See a Kafka Streams hands-on example in this video. The goal of this project is to make it easy to experiment with Spark Streaming based on Kafka, by creating examples that run against an embedded Kafka server and an embedded Spark instance. Kafka Streams is a Java library for developing stream processing applications on top of Apache Kafka. 1. 0: Categories: Maven Archetypes: Tags: streaming archetype maven kafka apache example: Central (27 The Top 14 Java Kafka Avro Schema Registry Open Source Projects on Github. In this article, we will learn what exactly it is through the following docket. send (new ProducerRecord<byte [],byte []> (topic, partition, key1, value1) , callback); Aug 06, 2019 · Kafka Streams is a better way, as it is a client-side library to move interaction with Kafka to another level. For example (this is Java, Scala syntax is a little different) 1. Create a new Java Project called KafkaExamples, in your favorite IDE. But of course you * can use the Interactive Queries feature of Kafka Streams also with Java 7. This project contains examples which demonstrate how to deploy analytic models to mission-critical, scalable production leveraging Apache Kafka and its Streams API. To begin, add the Kafka package to your application as a dependency: May 15, 2017 · This tutorial picks up right where Kafka Tutorial: Creating a Kafka Producer in Java left off. As see above, both the input and output of Kafka Streams applications are Kafka topics. The data consumed by Neo4j will be generated by the Kafka Connect Datagen. Jul 16, 2015 · Producer<String, String> producer = new Producer<String, String> (config); Note that the Producer is a Java Generic and you need to tell it the type of two parameters. 2 What is Kafka Streams? Available since Apache Kafka 0. Don't use in production - it causes the app to re-load the state from Kafka on every start. In this example they are both Strings, which also matches to what we defined in the Properties above. Introduction to Alpakka, a modern, Reactive version of Apache Camel, and its growing community of Streams connectors (e. headerMapperBeanName. Note: Mar 03, 2018 · The inboundGreetings() method defines the inbound stream to read from Kafka and outboundGreetings() method defines the outbound stream to write to Kafka. Kafka has Streams API added for building stream processing applications using Apache Kafka. The main goal is to play with Kafka Connect and Streams. Apache Kafka Tutorial provides details about the design goals and capabilities of Kafka. In this example Neo4j and Confluent will be downloaded in binary format and Neo4j Streams plugin will be set up in SINK mode. Of course, in making everything easy to work with we also make it perform poorly. Jan 29, 2021 · The examples in this repository demonstrate how to use the Kafka Consumer, Producer, and Streaming APIs with a Kafka on HDInsight cluster. In this example, the application will count how many times certain words appear in a Kafka topic. However, because the newer integration uses Apache Kafka is a unified platform that is scalable for handling real-time data streams. The Kafka cluster stores streams of records in categories called topics. We can use Kafka when we have to move a large amount of data and process it in real-time. RabbitMQ, Apache Kafka, Amazon Kinesis, Google PubSub and more). The computational logic can be specified either by using the Topology to define a DAG topology of Processors or by using the Collections¶. kafka. Using Spark Streaming we can read from Kafka topic and write to Kafka topic in TEXT, CSV, AVRO and JSON formats, In this article, we will learn with scala example of how to stream from Kafka messages in JSON format using from_json() and to_json() SQL functions. Aug 13, 2018 · Describes how to set up and run a Kafka Streams Java application. You may check out the related API usage on the sidebar. My setup consists of the following: 1, 1 x CP 3. Kafka Streams is a client library for building applications and microservices. The bean name of a KafkaHeaderMapper used for mapping spring-messaging headers to and from Kafka headers. To begin, add the Kafka package to your application as a dependency: Note: This tutorial focuses on a simple application to get you started. Having a good fundamental knowledge of Kafka is essential to get the most out of Kafka Streams. Kafka producer send method (fire and forget, sync and async types) Kafka producer config (connection properties) example. These examples are extracted from open source projects. If you want to build more complex applications and microservices for data in motion—with powerful features such as real-time joins, aggregations, filters, exactly-once processing, and more—check out the Kafka Streams 101 course, which covers the Kafka Streams client library. Aug 17, 2021 · This article discusses how to create a primary stream processing application using Apache Kafka as a data source and the KafkaStreams library as the stream processing library. Provides sample code for a Pipe example.

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