--- title: Real Time Streaming Application with Apache Spark description: Explore real time streaming application with apache spark for efficient data processing, real-time insights, and automation in IT operations. image: https://www.xenonstack.com/hubfs/xenonstack-apache-kafka-real-time-data-processing.png --- - [![xenonstack-logo](https://www.xenonstack.com/hubfs/xenonstack-logo-new-relase.svg)](https://www.xenonstack.com/) - - Foundry Foundry Unified reasoning foundation enabling seamless orchestration, analytics, infrastructure, and trust across intelligent ecosystems [![pointers-icon](https://www.xenonstack.com/hubfs/xs-revamp-header-dropdown/our-purpose-line-icon.svg) Akira AI - Reasoning and Agent Orchestration Turn models into collaborative, policy-governed agents that learn and act together](https://www.xenonstack.com/agentic-platforms/akira-ai/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-revamp-header-dropdown/autonomous-operations-icon.svg) ElixirData - Agentic Analytics Intelligence Explainable, decision-centric analytics for measurable business outcomes](https://www.xenonstack.com/agentic-platforms/elixirdata/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-revamp-header-dropdown/digital-immune-system-icon.svg) NexaStack - 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AI Agents AI Agents Pre-built autonomous agents designed for domain-specific intelligence, seamless integrations, and governed enterprise deployment By Domain [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/adaptive-ai-enterprise-operational-analytics.svg) Agentic Operations AgentSRE and AgentOps for automated reliability and IT operations](https://www.xenonstack.com/ai-agents/agentic-operations/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/industries-fintech.svg) Agentic Finance FinOps Agent and Budget Enforcer for optimized financial governance](https://www.xenonstack.com/ai-agents/agentic-finance/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/case-study-icon.svg) Agentic Risk and Compliance Audit Agent and Risk Assurance to automate compliance monitoring](https://www.xenonstack.com/ai-agents/agentic-risk-compliance/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/discover-digital-experience-platform.svg) Agentic Analytics Analyst Agent and Decision Advisor for AI-driven insights and strategy](https://www.xenonstack.com/ai-agents/agentic-analytics/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-revamp-header-dropdown/developer-experience-icon.svg) Agentic Supply Chain AI-powered advisor for smart sourcing, vendor insights, and strategic procurement](https://www.xenonstack.com/ai-agents/agentic-procurement/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/discover-serverless-application-development.svg) Agentic Security AI-driven defense delivering proactive threat detection and autonomous security orchestration](https://www.xenonstack.com/ai-agents/agentic-security/) By Integration [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/decision-intelligence-metaverse.svg) Snowflake AI Agents Pre-built connectors for real-time data intelligence on Snowflake](https://www.xenonstack.com/ai-agents/snowflake-ai-agents/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/optimize-cloud-migration.svg) Databricks AI Agents AI agents for automated data workflows and insights on Databricks](https://www.xenonstack.com/ai-agents/databricks-ai-agents/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/optimize-application-modernization.svg) ServiceNow AI Agents AI workflows to streamline service, incident, and operations automation](https://www.xenonstack.com/ai-agents/servicenow-ai-agents/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/cloud-native-devsecops.svg) Jira/Project Management Agents AI agents for backlog grooming, sprint planning, and real-time project visibility](https://www.xenonstack.com/ai-agents/jira-agents-actions/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/discover-digital-experience-platform.svg) SAP AI Agents AI copilots for finance, supply chain, and HR decisions across your SAP landscape](https://www.xenonstack.com/ai-agents/sap-agents-actions/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/ai-driven-industries-hr-and-recruitment.svg) Oracle AI Agents AI agents for financials, risk, and operations intelligence across Oracle applications](https://www.xenonstack.com/ai-agents/oracle-agents-actions/) - Solutions Solutions Governed AI solutions driving measurable business outcomes across operations, finance, security, and analytics [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/cloud-native-devops.svg) ReliabilityOps — Cloud Reliability Automation Automate reliability checks and optimize uptime with continuous reasoning](https://www.xenonstack.com/ai-agents/cloudops-reimagined/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/cloud-native-kubernetes.svg) IncidentOps — AI-Driven Site Reliability Resolve incidents faster with AI-led triage, contextual RCA, and adaptive recovery](https://www.xenonstack.com/ai-agents/sre-reimagined/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/discover-custom-software-development.svg) PlatformOps — Unified Platform Automation Unify infrastructure and AI systems with reasoning-driven automation and compliance](https://www.xenonstack.com/ai-agents/platformops-reimagined/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/decision-intelligence-customer-analytics.svg) DefenseOps — Autonomous Threat Defense Detect, analyze, and neutralize threats autonomously with adaptive defense intelligence](https://www.xenonstack.com/ai-agents/responsible-ai-aviator/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/optimize-business-intelligence.svg) TrustOps — Responsible AI and Continuous Governance Ensure transparency, fairness, and compliance in every AI system and decision](https://www.xenonstack.com/ai-agents/secops-reimagined/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/ai-driven-industries-manufacturing.svg) RiskOps — Predictive Risk Intelligence Predict, score, and mitigate risks proactively with real-time assurance intelligence](https://www.xenonstack.com/ai-agents/risk-management-aviator/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/adaptive-ai-explainable-ai.svg) FactoryOps — AI-Driven Industrial Automation Predict equipment failures and optimize production with adaptive intelligence](https://www.xenonstack.com/ai-agents/industrial-automation-reimagined/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/adaptive-ai-enterprise-operational-analytics.svg) AssetOps — Automated Asset Reliability Enable predictive maintenance and optimize lifecycle performance continuously](https://www.xenonstack.com/ai-agents/asset-operations-and-maintenance-reimagined/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/ai-driven-industries-infrastructure%20.svg) QualityOps — Continuous Testing Intelligence Accelerate testing cycles with autonomous validation and reasoning feedback](https://www.xenonstack.com/ai-agents/qaops-reimagined/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/industries-insurance.svg) SourcingOps — Intelligent Procurement Automate sourcing, vendor analysis, and spend insights for agile procurement](https://www.xenonstack.com/ai-agents/procurement-reimagined/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/decision-intelligence-augmented-data-management.svg) DataOps — Autonomous Data Pipeline Governance Ensure reliability, detect anomalies, and self-heal data pipelines automatically](https://www.xenonstack.com/ai-agents/dataops-reimagined/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/decision-intelligence-metaverse.svg) DecisionOps — Intelligent Decisioning Deliver explainable, auditable, and measurable outcomes with reasoning AI](https://www.xenonstack.com/ai-agents/desicison-reimagined/) - Industries Industries Industry blueprints showcasing agentic transformation, real-world impact, and measurable outcomes across key sectors [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/adaptive-ai-computer-vision.svg) Aerospace and Defense Autonomous flight systems and predictive maintenance powered by AI](https://www.xenonstack.com/industries/aerospace/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/industries-fintech.svg) Banking - Finance - Payments AI governance for secure, compliant, and adaptive financial operations](https://www.xenonstack.com/industries/banking/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/industries-retail.svg) Manufacturing and Industrial Automation Smart factories using reasoning systems for real-time quality optimization](https://www.xenonstack.com/industries/digital-manufacturing-services/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/optimize-cloud-infrastrcuture.svg) Enterprise - IT Operations AI-powered IT operations ensuring reliability, scalability, and cost efficiency](https://www.xenonstack.com/industries/enterprise-technology/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/xs-scale-clients-and-partners.svg) Consumer – Experience – Tech Personalized digital experiences driven by explainable and trusted AI](https://www.xenonstack.com/industries/consumer-technology/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/discover-platform-engineering.svg) Retail and Supply Chain Autonomous retail analytics enhancing operations, engagement, and forecasting accuracy](https://www.xenonstack.com/industries/retail/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/industries-healthcare.svg) Travel – Hospitality – Guest Experience Agentic systems delivering personalized guest journeys with contextual intelligence](https://www.xenonstack.com/industries/travel-hospitality/) - Resources Resources Explore insights, success stories, and learning programs that build knowledge and strengthen the AI transformation journey [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/xs-scale-xenonstack-university.svg) Blogs Stay updated with the latest industry trends, news, and thought leadership](https://www.xenonstack.com/blog) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/insights.svg) Insights Explore in-depth AI articles, use cases, and innovative applications](https://www.xenonstack.com/insights) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/use-case.svg) Use Cases Discover real-world applications of Agentic AI across industries](https://www.xenonstack.com/use-cases) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/scale-cloud-native-applications.svg) Case Studies Learn how organizations are achieving success with our solutions](https://xenonstack.com/case-studies) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/video.svg) Video Library Explore our collection of product demos, webinars, and AI thought leadership videos](https://www.xenonstack.com/videos/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/ebook.svg) E-Books Download comprehensive e-books on AI, SRE, and more](https://www.xenonstack.com/e-book) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-header-dropdown/presentation.svg) Presentations View our AI presentations, talks, and conference sessions on AI innovation](https://www.xenonstack.com/presentations/) - 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Explore career opportunities to work at the forefront of innovation](https://www.xenonstack.com/careers/) - Book Strategy Call [![xenonstack-logo](https://www.xenonstack.com/hubfs/xenonstack-logo-new-relase.svg)](https://www.xenonstack.com/) - Foundry ![dropdown-icon](https://www.elixirclaw.ai/hubfs/dropdown-assets/dropdown-icon.svg) [Akira AI](https://www.xenonstack.com/agentic-platforms/akira-ai/) [ElixirData](https://www.xenonstack.com/agentic-platforms/elixirdata/) [NexaStack](https://www.xenonstack.com/agentic-platforms/nexastack-unified-inference/) [MetaSecure](https://www.xenonstack.com/agentic-platforms/metasecure/) [Neural AI](https://www.xenonstack.com/agentic-platforms/neural-ai/) - AI Agents ![dropdown-icon](https://www.elixirclaw.ai/hubfs/dropdown-assets/dropdown-icon.svg) [Agentic Operations](https://www.xenonstack.com/ai-agents/agentic-operations/) [Agentic Finance](https://www.xenonstack.com/ai-agents/agentic-finance/) [Agentic Risk and Compliance](https://www.xenonstack.com/ai-agents/agentic-risk-compliance/) [Agentic Analytics](https://www.xenonstack.com/ai-agents/agentic-analytics/) [Agentic Supply Chain](https://www.xenonstack.com/ai-agents/agentic-procurement/) [Agentic Security](https://www.xenonstack.com/ai-agents/agentic-security/) [Snowflake AI Agents](https://www.xenonstack.com/ai-agents/snowflake-ai-agents/) [Databricks AI Agents](https://www.xenonstack.com/ai-agents/databricks-ai-agents/) [ServiceNow AI Agents](https://www.xenonstack.com/ai-agents/servicenow-ai-agents/) [Jira/Project Management Agents](https://www.xenonstack.com/ai-agents/jira-agents-actions/) [SAP AI Agents](https://www.xenonstack.com/ai-agents/sap-agents-actions/) [Oracle AI Agents](https://www.xenonstack.com/ai-agents/oracle-agents-actions/) - 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Book Strategy Call ![slider-cross-icon](https://www.xenonstack.com/hubfs/slider-cross-icon.svg) ## Interested in Solving your Challenges with XenonStack Team ## Get Started Get Started with your requirements and primary focus, that will help us to make your solution First Name \* Please enter a valid First Name Last Name \* Please enter a valid Last Name Business Email ID \* Please enter a valid Business Email ID Contact Number \* Please enter a valid Contact Number Company \* Please enter a valid Company Name Industry Belongs To \* Please Select your Industry Banking Fintech Payment Providers Wealth Management Discrete Manufacturing Semiconductor Machinery Manufacturing / Automation Appliances / Electrical / Electronics Elevator Manufacturing Defense & Space Manufacturing Computers & Electronics / Industrial Machinery Motor Vehicle Manufacturing Food and Beverages Distillery & Wines Beverages Shipping Logistics Mobility (EV / Public Transport) Energy & Utilities Hospitality Digital Gaming Platforms SportsTech with AI Public Safety - Explosives Public Safety - Firefighting Public Safety - Surveillance Public Safety - Others Media Platforms City Operations Airlines & Aviation Defense Warfare & Drones Robotics Engineering Drones Manufacturing AI Labs for Colleges AI MSP / Quantum / AGI Institutes Retail Apparel and Fashion Please select all the required fields before proceeding Proceed Next ## Interested in Solving your Challenges with XenonStack ## Personalization Get Started with your requirements and primary focus, that will help us to make your solution ### What is your Key focus areas? \* AI Workflow and Operations Data Management and Operations AI Governance Analytics and Insights Observability Security Operations Risk and Compliance Procurement and Supply Chain Private Cloud AI Vision AI ### In Which Agentic Platform and Accelerator you are Interested? \* Akira AI - Agentic AI Platform Multi Agent System Metasecure - Autonomous SOC Nexastack – Build and Managed Compound AI Stack Data Foundry XAI – Vision and AI Platform – Visual AI Agents Strategy Consulting AI Managed Services Others (Please Specify) ### Which segment does your company belong to? \* Startup Scale Startup SME Mid Enterprises Large Enterprises Federal Government Non Profits Others (Please Specify) ### At what stage is your AI use case currently in? \* Conceptualized: Use case defined, PoC pending POC Completed In Production with challenges Not yet defined Others (Please Specify) ### What are the primary challenges in adopting AI? \* Data Quality Issues Data Privacy and Compliance Aligning AI with business goals Unclear ROI from POCs Integration with existing ERP systems Scalability Challenges Moving POCs in Production Infrastructure Limitation High Implementation costs Others (Please Specify) ### What kind of infrastructure does your organization currently using? \* AWS Microsoft Azure GCP IBM Cloud Oracle Cloud On Premises Others (Please Specify) ### Are you using any Data platform? \* Databricks SnowFlake Amazon Redshift Azure Synapse Analytics Microsoft Fabric Teradata Oracle Database SAP Hana Informatica Google Cloud BigQuery Others (Please Specify) ### Preferred Approach for AI Transformation \* Assisted Intelligence Agents as Co-Pilot Collaborative Intelligence Agents as AI Teammates Autonomous Intelligence Agents – AI Agents Agentic Actions Agentic Process Automation ### In Which Domain your Solution/Organization belongs to in-terms of Data Privacy, Trustworthy AI \* Internal Organization Highly Regulated Industry (Healthcare, Financials etc) Medium Regulated Non Regulated ### Captcha Verification \* captcha text ![Refresh Icon](https://www.xenonstack.com/hs-fs/hubfs/refresh.png?width=20&height=20&name=refresh.png) Please select all the required fields Review Previous Submit ![green-checkmark](https://www.xenonstack.com/hubfs/green-checkmark.svg) ## your request has been submitted successfully ! Our XenonStack Team will shortly reach out to you. We are looking forward to showcase how XenonStack can transform your business. ![usecase-banner (1)](https://www.xenonstack.com/hs-fs/hubfs/usecase-banner%20(1).webp?width=1921&height=622&name=usecase-banner%20(1).webp) [Big Data Engineering](https://www.xenonstack.com/blog/tag/big-data-engineering) # Real Time Streaming Application with Apache Spark [Navdeep Singh Gill](https://www.xenonstack.com/blog/author/navdeep-singh-gill) | 09 December 2024 ## What is Apache Spark? Apache Spark is a fast, in-memory data processing engine with expressive development APIs to allow data workers to execute streaming conveniently. With Spark running on Apache Hadoop YARN, developers everywhere can now create applications to exploit Spark’s power, derive insights, and enrich their data science workloads within a single, shared dataset in [Apache Hadoop](https://www.xenonstack.com/insights/apache-hadoop/). ## What is Streaming? Streaming data is unstructured data generated continuously by thousands of data sources. It includes a wide variety of data, such as log files generated by customers using your mobile or web applications, in-game player activity, information from social networks, Financial trading, and telemetry from connected devices or instrumentation in data centres. > Each Dataset in Spark Resilient Distributed Dataset is divided into logical partitions across the cluster. Click to explore about our, [RDD in Apache Spark](https://www.xenonstack.com/blog/rdd-in-spark/) ### What is Structured Streaming? It limits what can be expressed, enabling optimizations since we can perform complex data computations that are impossible in stream processing. ![Structure Streaming](https://www.xenonstack.com/hs-fs/hubfs/xenonstack-structured-streaming-kafka.png?width=903&height=514&name=xenonstack-structured-streaming-kafka.png) ### Why do we use Structured Streaming? In it, any data stream is treated as unbound data: new records added to the stream are like rows being appended to the table. This allows us to treat both batch and streaming data as tables. DataFrame/Dataset queries can apply to both batch and streaming data. Users describe the query they want to run, the input and output locations, and a few more details optionally. ## Real-Time Streaming with Apache Spark, Apache Nifi, and Apache Kafka ![Real-Time Streaming with Apache Kafka](https://www.xenonstack.com/hs-fs/hubfs/xenonstack-real-time-streaming-with-apache-kafka.png?width=896&height=510&name=xenonstack-real-time-streaming-with-apache-kafka.png) ## What is the Data Collection Layer? The data collection layer is the first layer where we ingest data from different locations. We will define our data flow pipelines using the different data sources in Apache NiFi or Apache MiNiFi. - File System - Cloud bucket(Google storage, Amazon S3) - Databases(MySql, Postgre, MongoDB, Cassandra) - Real-time stream from the IoT devices ### Apache Nifi Nifi is a data flow automation tool that allows users to send, receive, route, transform, and sort data as needed in an automated and configurable way. Nifi has a user-friendly drag-and-drop graphical user interface that allows users to create data flow per their requirements. [Apache NiFi](https://nifi.apache.org/) has a predefined processor to fetch/push data to any data source. We can also perform some data transformations in Apache NiFi using predefined processors. ## What is a Data Routing Layer? This layer refers to the layer that will send data to multiple different data sources, i.e., Cloud bucket, database, and local file system. We can define this in our Apache NiFi flow. Apache NiFi enables the data to be routed to multiple destinations in parallel. > Fast data is not about just volume of data, we measure volume but concerning its incoming rate. Volume and Velocity both are considered while talking about Fast Data Source- [A Guide to Streaming Analytics](https://www.xenonstack.com/blog/stream-analytics/) ### Apache Kafka [Apache Kafka](https://kafka.apache.org/) is a distributed publish-subscribe messaging system used to ingest [real-time data](https://www.xenonstack.com/insights/real-time-data-streaming/) streams and make them available to the consumer in a parallel and fault-tolerant manner. Kafka is suitable for building a real-time streaming data pipeline that reliably moves data between different processing systems. Kafka consists of Topics, Consumers, Producers, Brokers, Partitions, and Clusters. Kafka's topics are divided into many partitions. Partitions allow you to parallelize the topic by splitting the data in a particular topic across multiple brokers. Each partition can be placed on a separate machine, allowing multiple consumers to read from a topic in parallel. #### Apache Kafka use cases. - Stream Processing - Metrics Collection and Monitoring - Website activity tracking ## What are the Data Transformation Layers? Below given are the [Data Transformation](https://www.xenonstack.com/insights/data-transformation/) layers. ### Apache Spark Structured Streaming It is the new Apache Spark streaming model and framework built on the SQL engine. Introduce in its 2.0 version too, provides fast, scalable, fault-tolerant, and low-latency processing. The main idea is that you should not have to reason about it but instead use a single API for both operations. Thus it allows you to write batch queries on your streaming data. It provides dataset/data frame API in Scala, Java, Python, or R to express its aggregation,event-time windows, and stream-to-bath join. ### Dataframe A data frame is a distributed collection of data organized in a named column and row. With proper optimization, it is similar to the table in the relational database. Dataframes exist to deal with both structured and unstructured data formats, such as Avro, CSV, elastic search, and Cassandra. ### Dataset The dataset is a strongly typed data structure in SparkSQL mapped to a relational schema. It is an extension to the data frame API that represents structured queries with encoders. Spark Dataset provides both type safety and an object-oriented programming interface. > A cluster computing platform intended to be fast and general-purpose, it is an open-source, extensive range data processing engine. Source: [Apache Spark Architecture and Use Cases](https://www.xenonstack.com/blog/apache-spark-architecture/) ## How do you read Streaming data from Kafka through Apache Spark? It provides a tied-in batch and streaming API to view data published to Kafka as a DataFrame. The first step is to specify the location of our Kafka cluster and the topic to read. Spark allows you to read an individual topic, like a specific set of topics, a regex pattern of topics, or even a specific set of partitions belonging to a set of topics. ``` Import org.apache.spark.sql.function._ Create sparkSession val spark = SparkSession .builder .appName("Spark-Kafka-Integration") .master("local") .getOrCreate() ``` In general, a session means interaction between two or more entities. But in Apache Spark, SparkSession creates a single point of an entity to interact with underlying spark functionality and allow programming spark with data frames and dataset APIs. `` ``` Connecting to kafka topic Val df = spark.readStream.format("kafka").option( "kafka.bootstrap.servers", "host1:port1,host2:port2" ).option("subscribe", "topic1").option("starting Offsets", "earliest").load() df.printSchema() reveals the schema of our DataFrame.root | -- key: binary (nullable = true) | -- value: binary (nullable = true) | -- topic: string (nullable = true) | -- partition: integer (nullable = true) | -- offset: long (nullable = true) | -- timestamp: timestamp (nullable = true) | -- timestampType: integer (nullable = true) ``` The returned DataFrame (pdf) contains all the intimate fields of a Kafka record and its associated metadata. We can now use all of the intimate DataFrame or Dataset operations to transform the result. ### Streaming ETL Now that the stream is set up, we can start performing the necessary ETL ( [Extract, Transform, and Load](https://www.xenonstack.com/glossary/etl)) to extract meaningful information. Let's say that real-time streaming data is pushed by NIfi to Kafka, as below. ``` { "city": "", "country": "India", "countryCode": "+91” "lat": 0.00, "regionName": "Mumbai" "status": "success" "zip": "" } ``` It is now possible to analyze quickly, such as how many users are coming from India. ``` val result = df.select(get_json_object(($ "value").cast("string"), "$.country") .alias("countByCountry")) .groupBy("countByContry") .county() result.writeStream.format("kafka") .option("kafka.bootstrap.servers", "host1:port1,host2:port2") .option("topic", "topic1").start ``` Now, we can parse the country out of incoming JSON messages, group them, and count them, all in real time, as we read data from the Kafka topic. The spark streaming job works in the background and continuously updates the counts as new messages arrive. ### Low Latency Continuous Processing Mode in Structured Streaming Continuous Processing is a new Execution engine in Spark 2.3 that allows very low end-to-end latency with at least one fault tolerance guarantee. Compare this with the default micro-[batch processing](https://www.xenonstack.com/insights/what-is-modern-batch-processing/) engine, which can achieve an exact-once guarantee of latency of 1 second. It sparks wait for 1 second and batches together all the events received during that interval into a micro-batch.   After a micro-batch execution is complete, collect the next batch and reschedule. This scheduling is frequently completed to give an impression of its execution. However, low latency doesn’t come without any costs. In fact, faster processing decreases the delivery guarantees to at least once from exactly once. So, continuous execution is advised for systems where the processing latency is more important than the delivery guarantee. ``` val result = spark.writeStream.format("kafka") .option("kafka.bootstrap.servers", "host1:port1,host2:port2") .option("topic", "topic1") .trigger(Trigger.Continuous(" 1 seconds ")) //only this line include for continuous .start() ``` For continuous mode, you can choose which mode helps to execute without modifying the application logic. To run a query in a continuous processing mode, you only need to specify a continuous trigger with the desired checkpoint interval as the parameter. There is no need to change the logic of the code. ![serverless-real-time-data](https://www.xenonstack.com/hubfs/serverless-real-time-data.svg) Apache Spark is a high-performing large-scale analytics and data processing engine that offers high batch and interactive processing performance. [Apache Spark Development Solutions](https://www.xenonstack.com/managed-services/apache-spark/) Using this API, we will consume and transform complex data streaming from Apache Kafka. We can express complex transformations like exactly-once event-time aggregation and output the results to various systems. The system then runs its query incrementally, maintaining enough state to recover from failure and keep the results consistent in external storage. > - Explore about [Apache Spark on AWS](https://www.xenonstack.com/blog/apache-spark-sql) > - Click here to read the Guide to [Real-Time Streaming Data Visualization](https://www.xenonstack.com/blog/streaming-data-visualizations). ## Real-Time Streaming with Apache Spark: Next Step Talk to our experts about implementing compound AI systems. Discover how industries and various departments leverage Decision Intelligence to become decision-centric. Learn how AI can automate and optimize IT support and operations, enhancing efficiency and responsiveness with Real Time Streaming applications with Apache Spark. [Contact Us](https://www.xenonstack.com/contact-us/) [Talk To Specialist](https://www.xenonstack.com/talk-to-specialist/) ### More Ways to Explore Us ### [Apache Spark Optimization](https://www.xenonstack.com/blog/apache-spark-optimisation) ### [Data Processing in Healthcare Industry](https://www.xenonstack.com/blog/data-processing-in-healthcare) ### [Real Time Streaming Application with Apache Spark](https://www.xenonstack.com/blog/real-time-streaming)   ## Share Article - [![XenonStack Facebook](https://www.xenonstack.com/hubfs/xenonstack-facebook-service.svg)](http://www.facebook.com/share.php?u=https://www.xenonstack.com/blog/real-time-streaming) - [![XenonStack Twitter](https://www.xenonstack.com/hubfs/xs-twitter-white-updated-icon.svg)](https://twitter.com/intent/tweet?text=I+found+this+interesting+blog+post&url=https://www.xenonstack.com/blog/real-time-streaming) - [![XenonStack Linked In](https://www.xenonstack.com/hubfs/xenonstack-linkedin-service.svg)](http://www.linkedin.com/shareArticle?mini=true&url=https://www.xenonstack.com/blog/real-time-streaming) - [![XenonStack Email Icon](https://www.xenonstack.com/hubfs/xenonstack-email-service.svg)](mailto:?subject=Check%20out%20https://www.xenonstack.com/blog/real-time-streaming%20&body=Check%20out%20https://www.xenonstack.com/blog/real-time-streaming) ## Table of Contents ## Share Article - [![XenonStack Facebook](https://www.xenonstack.com/hubfs/xenonstack-facebook-service.svg)](http://www.facebook.com/share.php?u=https://www.xenonstack.com/blog/real-time-streaming) - [![XenonStack Twitter](https://www.xenonstack.com/hubfs/xs-twitter-white-updated-icon.svg)](https://twitter.com/intent/tweet?text=I+found+this+interesting+blog+post&url=https://www.xenonstack.com/blog/real-time-streaming) - [![XenonStack Linked In](https://www.xenonstack.com/hubfs/xenonstack-linkedin-service.svg)](http://www.linkedin.com/shareArticle?mini=true&url=https://www.xenonstack.com/blog/real-time-streaming) - [![XenonStack Email Icon](https://www.xenonstack.com/hubfs/xenonstack-email-service.svg)](mailto:?subject=Check%20out%20https://www.xenonstack.com/blog/real-time-streaming%20&body=Check%20out%20https://www.xenonstack.com/blog/real-time-streaming) ## Explore Related Topics [Decision Intelligence](https://www.xenonstack.com/blog/tag/decision-intelligence) [Cloud Native Applications](https://www.xenonstack.com/blog/tag/cloud-native-applications) [Generative AI](https://www.xenonstack.com/blog/tag/generative-ai) [Big Data Engineering](https://www.xenonstack.com/blog/tag/big-data-engineering) [FinOps](https://www.xenonstack.com/blog/tag/finops) [Data Foundry](https://www.xenonstack.com/blog/tag/data-foundry) [XAI](https://www.xenonstack.com/blog/tag/xai) [Autonomous Agents](https://www.xenonstack.com/blog/tag/autonomous-agents) [MetaSecure AI](https://www.xenonstack.com/blog/tag/metasecure-ai) ![navdeep-singh-gill](https://www.xenonstack.com/hubfs/navdeep-gill-ceo-xenonstack.svg) ## Navdeep Singh Gill Global CEO and Founder of XenonStack Navdeep Singh Gill is serving as Chief Executive Officer and Product Architect at XenonStack. He holds expertise in building SaaS Platform for Decentralised Big Data management and Governance, AI Marketplace for Operationalising and Scaling. His incredible experience in AI Technologies and Big Data Engineering thrills him to write about different use cases and its approach to solutions. [Explore More by Navdeep Singh Gill ![cta-blue-arrow](https://www.xenonstack.com/hubfs/cta-arrow-blue.svg)](https://www.xenonstack.com/blog/author/navdeep-singh-gill) ![Subscribe background](https://www.xenonstack.com/hubfs/blog-post-subscribe.svg) ## Subscribe to our Latest Technology Insights and Resources Subscribe Now ![slider-cross-icon](https://www.xenonstack.com/hubfs/slider-cross-icon.svg) ## Get the latest articles in your inbox Business Email ID \* Please enter a valid Business Email ID Company Name \* Please enter a valid Company Name Yes, I would like to receive the XenonStack newsletter as well as marketing emails regarding XenonStack products, services, and events. 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Subscribe Now ## Related Articles ![Unified Data Integration with Service Apache Sea Tunnel](https://www.xenonstack.com/hs-fs/hubfs/unified-data-integration.png?width=1200&height=675&name=unified-data-integration.png) ### [Unified Data Integration with Service Apache Sea Tunnel](https://www.xenonstack.com/blog/unified-data-integration-service) 28 November 2024 ![Data Ingestion Pipeline Architecture and its Use Cases](https://www.xenonstack.com/hs-fs/hubfs/data-ingestion-pipeline-architecture.png?width=1200&height=675&name=data-ingestion-pipeline-architecture.png) ### [Data Ingestion Pipeline Architecture and its Use Cases](https://www.xenonstack.com/blog/data-ingestion-pipeline-architecture) 11 October 2024 ![Compherending Data Catalog with Data Discovery](https://www.xenonstack.com/hs-fs/hubfs/data-catalog-with-data-discovery.png?width=1200&height=675&name=data-catalog-with-data-discovery.png) ### [Compherending Data Catalog with Data Discovery](https://www.xenonstack.com/blog/data-catalog-with-data-discovery) 30 September 2024 ![xenonstack-logo](https://www.xenonstack.com/hubfs/xenonstack-new-logo-release.svg) XenonStack Agentic Foundry powers enterprise agentic systems with unified infra, analytics, workflows, and security to drive automation and compliance. 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Move from dashboards to autonomous, always-on analytics - ![Connects warehouses](https://www.xenonstack.com/hubfs/data-icon.svg)Connects to warehouses, lakes, and streaming sources - ![Question Answering](https://www.xenonstack.com/hubfs/answers.svg)Question-answering in natural language - ![Continuous monitoring](https://www.xenonstack.com/hubfs/monitoring-2.svg)Continuous monitoring for anomalies and KPI deviations [See in Action](https://elixirdata.co/) ![agentic-data-intelligence](https://www.xenonstack.com/hubfs/empowerment-of-analysts.svg) ✕ ## Intelligent Diagnostic for Self-Healing System Automation Agents identify recurring failures and performance issues. They trigger workflows that resolve common problems automatically. Your infrastructure evolves into a self-healing environment - ![Diagnostics Icon](https://www.xenonstack.com/hubfs/diagnostic.svg)Automated diagnostics for recurring errors - ![Playbook Icon](https://www.xenonstack.com/hubfs/playbook.svg)Playbook execution: restart services, scale pods, clear queues - ![Feedback Icon](https://www.xenonstack.com/hubfs/feedback.svg)Feedback loop for improving remediation strategies [See in Action](https://agentanalyst.ai/) ![intelligent-diagnostic](https://www.xenonstack.com/hubfs/dataops-reimagined-banner-image.svg) ✕ ## Agentic GRC - Monitoring Risk and Compliance Controls AI continuously checks controls and compliance posture. It detects misconfigurations and risks before they escalate. Evidence collection becomes automatic and audit-ready - ![Controls Icon](https://www.xenonstack.com/hubfs/controls.svg)Continuous control checks across infrastructure and SaaS - ![Audit Icon](https://www.xenonstack.com/hubfs/audit.svg)Automated evidence collection for audits - ![Risk Icon](https://www.xenonstack.com/hubfs/risk.svg)Risk scoring and prioritized remediation recommendations [Explore Agent GRC](https://agentgrc.ai/) ![monitoring-risk-and-compliance](https://www.xenonstack.com/hubfs/enhanced-security-measures.svg) ✕ ## Agentic Finance and Procurement Intelligent Agents Financial and procurement workflows become proactive and insight-driven. Agents monitor spend, vendors, and contracts in real time. Approvals and sourcing decisions become faster and smarter - ![Visibility Icon](https://www.xenonstack.com/hubfs/visibility.svg)Real-time visibility into spend and commitments - ![Anomaly Icon](https://www.xenonstack.com/hubfs/anomaly.svg)Anomaly detection on invoices and vendor performance - ![Workflow Icon](https://www.xenonstack.com/hubfs/workflow.svg)Intelligent workflows for approvals and sourcing decisions [Optimize Finance & Procurement](https://www.xenonify.ai/) ![agentic-finance-and-procurement](https://www.xenonstack.com/hubfs/responsible-ai-aviators-banner-illustration.svg) ```json { "@context" : "https://schema.org", "@type" : "BlogPosting", "author" : { "@type" : "Person", "name" : "Navdeep Singh Gill", "url" : "https://www.xenonstack.com/blog/author/navdeep-singh-gill" }, "dateModified" : "2024-12-09T12:41:45.647Z", "datePublished" : "2023-05-09T08:30:00.000Z", "headline" : "Real Time Streaming Application with Apache Spark", "image" : [ "https://www.xenonstack.com/hubfs/xenonstack-apache-kafka-real-time-data-processing.png" ], "mainEntityOfPage" : { "@id" : "https://www.xenonstack.com/blog/real-time-streaming", "@type" : "WebPage" }, "publisher" : { "@type" : "Organization", "logo" : { "@type" : "ImageObject", "url" : "https://www.xenonstack.com/hubfs/Xenonstack-Serives%20-3-2-2021-10.png" }, "name" : "Xenonstack Inc" } } ``` ```json { "@context" : "http://schema.org", "@type" : "Organization", "address" : { "@type" : "PostalAddress", "addressCountry" : "USA", "addressLocality" : "Plano", "addressRegion" : "Texas", "postalCode" : "75024", "streetAddress" : "7700 Windrose Ave. " }, "description" : "XenonStack is the #1 Data and AI foundry and technology services company to simplify and scale Enterprise and Generative AI Journeys.", "email" : "business@xenonstack.com", "logo" : "https://f.hubspotusercontent30.net/hubfs/8161231/Xenonstack-Serives%20-3-2-2021-10.png", "mainEntityOfPage" : { "@id" : "https://www.xenonstack.com/blog/real-time-streaming", "@type" : "WebPage", "description" : "Explore real time streaming application with apache spark for efficient data processing, real-time insights, and automation in IT operations." }, "name" : "XenonStack", "sameAs" : [ "https://www.facebook.com/XenonStack", "https://www.linkedin.com/company/xenonstack/", "https://www.youtube.com/c/XenonStackOfficial", "https://twitter.com/xenonstack" ], "telephone" : "", "url" : "https://www.xenonstack.com/" } ``` ```json { "@context" : "http://schema.org", "@type" : "BlogPosting", "author" : { "@type" : "Person", "name" : "Navdeep Singh Gill" }, "dateModified" : "December 9, 2024, 12:41:45 PM", "datePublished" : "2023-05-09 08:30:00", "description" : "Explore real time streaming application with apache spark for efficient data processing, real-time insights, and automation in IT operations.", "headline" : "Real Time Streaming Application with Apache Spark", "image" : { "@type" : "ImageObject", "url" : "https://www.xenonstack.com/hubfs/xenonstack-apache-kafka-real-time-data-processing.png" }, "mainEntityOfPage" : { "@id" : "https://www.xenonstack.com/blog/real-time-streaming", "@type" : "WebPage" }, "publisher" : { "@type" : "Organization", "logo" : { "@type" : "ImageObject", "url" : "https://f.hubspotusercontent30.net/hubfs/8161231/Xenonstack-Serives%20-3-2-2021-10.png" }, "name" : "XenonStack" } } ```