Data Pipeline
  • Data Pipeline
    • About Data Pipeline
    • Design Philosophy
    • Low Code Visual Authoring
    • Real-time and Batch Orchestration
    • Event based Process Orchestration
    • ML and Data Ops
    • Distributed Compute
    • Fault Tolerant and Auto-recovery
    • Extensibility via Custom Scripting
  • Getting Started
    • Homepage
      • Create
        • Creating a New Pipeline
          • Adding Components to Canvas
          • Connecting Components
            • Events [Kafka and Data Sync]
          • Memory and CPU Allocations
        • Creating a New Job
          • Job Editor Page
          • Spark Job
            • Readers
              • HDFS Reader
              • MongoDB Reader
              • DB Reader
              • S3 Reader
              • Azure Blob Reader
              • ES Reader
              • Sandbox Reader
              • Athena Query Executer
            • Writers
              • HDFS Writer
              • Azure Writer
              • DB Writer
              • ES Writer
              • S3 Writer
              • Sandbox Writer
              • Mongodb Writer
              • Kafka Producer
            • Transformations
          • PySpark Job
          • Python Job
          • Python Job(On demand)
          • Script Executer Job
          • Job Alerts
        • Register as Job
        • Exporting a Script From Data Science Lab
        • Utility
        • Git Sync
      • Overview
        • Jobs
        • Pipeline
      • List Jobs
      • List Pipelines
      • Scheduler
      • Data Channel & Cluster Events
      • Trash
      • Settings
    • Pipeline Workflow Editor
      • Pipeline Toolbar
        • Pipeline Overview
        • Pipeline Testing
        • Search Component in Pipelines
        • Push & Pull Pipeline
        • Pull Pipeline
        • Full Screen
        • Log Panel
        • Event Panel
        • Activate/Deactivate Pipeline
        • Update Pipeline
        • Failure Analysis
        • Delete Pipeline
        • Pipeline Component Configuration
        • Pipeline Failure Alert History
        • Format Flowchart
        • Zoom In/Zoom Out
        • Update Component Version
      • Component Panel
      • Right-side Panel
    • Testing Suite
    • Activating Pipeline
    • Pipeline Monitoring
    • Job Monitoring
  • Components
    • Adding Components to Workflow
    • Component Architecture
    • Component Base Configuration
    • Resource Configuration
    • Intelligent Scaling
    • Connection Validation
    • Readers
      • GCS Reader
      • S3 Reader
      • HDFS Reader
      • DB Reader
      • ES Reader
      • SFTP Stream Reader
      • SFTP Reader
      • Mongo DB Reader
        • MongoDB Reader Lite (PyMongo Reader)
        • MongoDB Reader
      • Azure Blob Reader
      • Azure Metadata Reader
      • ClickHouse Reader (Docker)
      • Sandbox Reader
      • Azure Blob Reader (Docker)
      • Athena Query Executer
    • Writers
      • S3 Writer
      • DB Writer
      • HDFS Writer
      • ES Writer
      • Video Writer
      • Azure Writer
      • ClickHouse Writer (Docker)
      • Sandbox Writer
      • MongoDB Writers
        • MongoDB Writer
        • MongoDB Writer Lite (PyMongo Writer)
    • Machine Learning
      • DSLab Runner
      • AutoML Runner
    • Consumers
      • GCS Monitor
      • Sqoop Executer
      • OPC UA
      • SFTP Monitor
      • MQTT Consumer
      • Video Stream Consumer
      • Eventhub Subscriber
      • Twitter Scrapper
      • Mongo ChangeStream
      • Rabbit MQ Consumer
      • AWS SNS Monitor
      • Kafka Consumer
      • API Ingestion and Webhook Listener
    • Producers
      • WebSocket Producer
      • Eventhub Publisher
      • EventGrid Producer
      • RabbitMQ Producer
      • Kafka Producer
      • Synthetic Data Generator
    • Transformations
      • SQL Component
      • File Splitter
      • Rule Splitter
      • Stored Producer Runner
      • Flatten JSON
      • Pandas Query Component
      • Enrichment Component
      • Mongo Aggregation
      • Data Loss Protection
      • Data Preparation (Docker)
      • Rest Api Component
      • Schema Validator
    • Scripting
      • Script Runner
      • Python Script
        • Keeping Different Versions of the Python Script in VCS
    • Scheduler
    • Alerts
      • Alerts
      • Email Component
    • Job Trigger
  • Custom Components
  • Advance Configuration & Monitoring
    • Configuration
      • Default Component Configuration
      • Logger
    • Data Channel
    • Cluster Events
    • System Component Status
  • Version Control
  • Use Cases
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On this page
  • Basic Information Tab
  • Steps to configure the meta information of GCS Monitor
  1. Components
  2. Consumers

GCS Monitor

PreviousConsumersNextSqoop Executer

The GCS Monitor continuously monitors a specific folder. When a new file is detected in the monitored folder, the GCS Monitor reads the file's name and triggers an event. Subsequently, the GCS Monitor copies the detected file to a designated location as defined and then removes it from the monitored folder. This process is repeated for each file that is found.

Basic Information Tab

It is the default tab to open for the component while configuring it.

  • Invocation Type: Select an invocation mode as Real-Time.

  • Deployment Type: It displays the deployment type for the reader component. This field comes pre-selected.

  • Container Image Version: It displays the image version for the docker container. This field comes pre-selected.

  • Failover Event: Select a failover Event from the drop-down menu.

  • Batch Size (min 10): Provide the maximum number of records to be processed in one execution cycle (Min limit for this field is 10).

Steps to configure the meta information of GCS Monitor

  • Bucket Name: Enter the source bucket name.

  • Directory Path: Fill in the monitor folder path using a forward-slash (/). For example, "monitor/".

  • Copy Directory Path: Specify the copy folder name where you want to copy the uploaded file. For example, "monitor_copy/".

  • Choose File: Upload a Service Account Key(s) file.

  • File Name: After the Service Account Key file is uploaded, the file name is auto-generated based on the uploaded file.

  • Copy Bucket Name: Fill in the destination bucket name where you need to copy the files.

Basic information tab
Meta information tab for GCS Monitor