Sprinkle Docs
  • What is Sprinkle?
  • Quick Start
  • Analysing your data
    • 🔭Analytics Overview
    • 💠Data Models
      • *️Variables
      • 🌲Hierarchies
      • 🤿Column Mask
    • 🎉Switch to New Reports & Dashboards
    • 🆕Reports
      • Overview
      • Build Using Tables
        • Create a new Report
        • Layout and options
        • Build and Format - Overview
        • Apply Row Limits
        • Identify Date Columns
        • Filter your data
        • Visualizations
          • Table
          • Pivot
          • Line Chart
          • Bar Chart
          • Column Chart
          • Area Chart
          • Combo Chart
          • Scatter & Bubble Plot
          • Pie Chart
          • Funnel Chart
          • Stat Card
          • Point Map
          • Heat Map
          • Radial gauge chart
        • Advanced Features
          • Custom Analysis
          • Variables
          • Table & Quick Calculations
          • Drill - Hierarchical & Date
          • Break Out
          • RLS in Table reports
          • Scheduled Exports
          • Embedding Table Reports
      • Build Using Models
        • Create a new report
        • Layout and options
        • Visualizations
        • Advanced Features
      • Build SQL Reports
        • Create a new Report
        • Layout and options
        • Writing a SQL Code on Editor
        • Visualizations
        • Variables in SQL Reports
    • 🆕Dashboards
      • 🌀Filters
      • 👆Click Behaviour
      • ⏰Data Alerts
      • 🗓️Date Drill
      • 📤Scheduled Exports
      • 🔗Embed link
      • 🖥️Dashboard layout
      • 📱Mobile Dashboards
  • Transforming your data
    • 🔰SQL Transform
    • 📓Python Notebooks
  • Integrating your data
    • ☁️Destination Warehouses
      • AWS Athena
        • Manage storage of Flow tables
      • AWS Redshift
      • Azure Synapse
      • Databricks
      • Google BigQuery
      • MySQL
      • Postgres
      • Snowflake
      • SQL Server
      • K8 Setup
        • AWS EKS
        • Google GKE
        • Azure AKS
    • ⚙️Warehouse & Storage Setup
  • Ingesting your data
    • ☄️Data Imports
      • Databases
        • Azure Cosmos DB
        • Azure Table Storage
        • Google BigQuery
        • Mongo DB
        • MySQL DB
        • Oracle DB
        • Postgres DB
        • SQL Server DB
        • Features
          • Ingestion Modes
          • Add Multiple Datasets
          • CDC Setup
            • CDC setup in Mysql
            • CDC setup in Postgres
            • CDC setup in Mongo
            • CDC setup in SQL Server
          • Destination Create Table Clause
          • SSH Tunnel Setup
      • Files
        • AWS S3
        • AWS S3 External
        • Azure Blob
        • FTP
        • Google Cloud Storage
        • Google Sheet
        • SFTP
      • Applications
        • Apple Search Ads
        • Appsflyer
        • Branch
        • Clevertap
        • Facebook Ads
        • Freshdesk
        • Freshsales
        • Google Ads
        • Google Ads V2
        • Google Analytics
        • Google Analytics 4
        • Google Analytics MCF
        • Google Search Console
        • Hubspot
        • Impact Ads
        • Intercom
        • Klaviyo
        • Leadsquared
        • LinkedIn Ads
        • Magento
        • Mailchimp
        • Marketo
        • Mixpanel
        • MoEngage
        • Rocketlane
        • Salesforce
        • SAP S4
        • Shopify
        • Snapchat Marketing
        • TikTok Ads
        • WooCommerce
        • Zendesk Chat
        • Zendesk Support
        • Zoho Analytics
        • Zoho Books
        • Zoho CRM
        • Zoho Desk
        • Zoho Invoice
        • Zoho Subscription
      • Events
        • Apache Kafka
        • AWS Kinesis
        • Azure EventHub
    • 📤File Uploads
    • 🤖API Pulls
    • 🕸️Webhooks
  • Collaborating on data
    • 📤Sharing
    • 💬Comments
    • ⚡Activity
    • 🏷️Labels
  • Managing Schedules and Data Refreshes
    • ⏱️Schedules
    • 🔔Notifications
  • User Management
    • 🔑Access Management
    • 🧑‍🤝‍🧑Groups
    • 📂Folders
    • 🔄Syncing users, groups and RLS
    • 📧Azure AD Integration
  • Data Security & Privacy
    • 🔐Security at Sprinkle
    • 📄GDPR
    • 📄Privacy Policy
  • Release Notes
    • 📢Release Notes
      • 🗒️Release Notes - v12.1 (New)
      • 🗒️Release Notes - v12.0
      • 🗒️Release Notes - v11.0
      • 🗒️Release Notes - v10.8
      • 🗒️Release Notes - v10.7
      • 🗒️Release Notes - v10.6
      • 🗒️Release Notes - v10.5
      • 🗒️Release Notes - v10.4
      • 🗒️Release Notes - v10.3
      • 🗒️Release Notes - v10.2
      • 🗒️Release Notes - v10.1
      • 🗒️Release Notes - v10.0
      • 🗒️Release Notes - v9.31
      • 🗒️Release Notes - v9.30
      • 🗒️Release Notes - v9.29
      • 🗒️Release Notes - v9.28
      • 🗒️Release Notes - v9.27
      • 🗒️Release Notes - v9.25
      • 🗒️Release Notes - v9.24
      • 🗒️Release Notes - v9.23
      • 🗒️Release Notes - v9.22
      • 🗒️Release Notes - v9.21
      • 🗒️Release Notes - v9.20
      • 🗒️Release Notes - v9.19
      • 🗒️Release Notes - v9.18
      • 🗒️Release Notes - v9.17
      • 🗒️Release Notes - v9.16
      • 🗒️Release Notes - v9.14
      • 🗒️Release Notes - v9.13
      • 🗒️Release Notes - v9.12
      • 🗒️Release Notes -v9.8
      • 🗒️Release Notes - v9.7
      • 🗒️Release Notes - v9.6
      • 🗒️Release Notes - v9.5
      • 🗒️Release Notes - v9.4
      • 🗒️Release Notes - v9.3
      • 🗒️Release Notes - v9.2
      • 🗒️Release Notes - v9.1
      • 🗒️Release Notes - v9.0 (Major)
      • 🗒️Release Notes - v7.23
      • 🗒️Release Notes - v7.21
      • 🗒️Release Notes - v7.20
      • 🗒️Release Notes - v7.15
      • 🗒️Release Notes - v7.14
      • 🗒️Release Notes - v7.13
Powered by GitBook
On this page
  1. Integrating your data
  2. Destination Warehouses
  3. AWS Athena

Manage storage of Flow tables

PreviousAWS AthenaNextAWS Redshift

Last updated 3 years ago

The tables created in Athena warehouse are the external tables. So whenever user drops and creates tables it creates a new directory in the s3 bucket without deleting the old directory. As a result, whenever table is recreated the number of directories keep on increasing that increases the usage of the storage capacity in the s3 bucket.

To manage the storage for table, Sprinkle provides below option:

  • When creating the table, user should explicitly define the path and then create the table.

  • The same location that the user is mentioning in the query should be given in the flow settings Cleanup tab. Before running flow, it will check Cleanup tab if any path is provided by the user, it will drop that path and will create a new table again.

  • If a flow is under managed data loading, the issue would only be seen for the staging table and not for the final table so user need to follow the same procedure for staging table as done for the normal flows.

☁️