- Introduction
- Getting Started
- Data Ingestion
- Data Loading
- Loading Data in a Database Destination
- Loading Data to a Data Warehouse
- Optimizing Data Loading for a Destination Warehouse
- Manually Triggering the Loading of Events
- Scheduling Data Load for a Destination
- Loading Events in Batches
- Data Loading Statuses
- Name Sanitization
- Table and Column Name Compression
- Parsing Nested JSON Fields in Events
- Pipelines
- Data Flow in a Pipeline
- Ingestion Modes
- Familiarizing with the Pipelines UI
- Pipeline Objects
- Working with Pipelines
- Transformations
-
Schema Mapper
- Using Schema Mapper
- Mapping Statuses
- Auto Mapping Event Types
- Mapping a Source Event Type with a Destination Table
- Mapping a Source Event Type Field with a Destination Table Column
- Schema Mapper Actions
- Fixing Unmapped Fields
- Resolving Incompatible Schema Mappings
- Resizing String Columns in the Destination
- Schema Mapper Compatibility Table
- Failed Events in a Pipeline
- Pipeline FAQs
- Events Usage
- Sources
- Free Sources
- Analytics
- Collaboration
- CRM
- Data Warehouses
- Databases
- E-Commerce
- File Storage
- Finance & Accounting
-
Marketing
- AdRoll
- Apple Search Ads
- AppsFlyer
- Criteo
- Delighted
- Facebook Ads
- Facebook Page Insights
- Front
- Google Ads
- Google Campaign Manager
- Google Play Console
- Google Search Console
- HubSpot
- Instagram Business
- Klaviyo
- LinkedIn Ads
- Mailchimp
- Marketo
- Microsoft Advertising
- Outbrain
- Pardot
- Pinterest Ads
- Segment
- SendGrid
- SendGrid Webhook
- Salesforce Marketing Cloud
- Snapchat Ads
- Taboola
- Twilio
- TikTok Ads
- Twitter Ads
- Typeform
- Streaming
- Source FAQs
- Destinations
- Transform
- Activate
- Alerts
- Account Management
- Troubleshooting
-
Troubleshooting Sources
- Troubleshooting Amazon DynamoDB
- Troubleshooting FTP/SFTP
- Troubleshooting MongoDB
- Troubleshooting MS SQL
- Troubleshooting MySQL
- Troubleshooting Oracle
-
Troubleshooting PostgreSQL
-
Errors during Pipeline creation
- Error 1003 - Authentication failure
- Error 1006 - Connection settings errors
- Error 1011 - Access role issue for logical replication
- Error 1012 - Access role issue for logical replication
- Error 1014 - Database does not exist
- Error 1017 - Connection settings errors
- Error 1023 - No pg_hba.conf entry
- Error 1024 - Number of requested standby connections
- Errors Post-Pipeline Creation
-
Errors during Pipeline creation
- Troubleshooting Salesforce
- Troubleshooting Destinations
-
Troubleshooting Sources
- Glossary
- Release Notes
- Release Version 1.91
- Release Version 1.90
- Release Version 1.89
- Release Version 1.88
- Release Version 1.87
- Release Version 1.86
- Release Version 1.84 & 1.85
- Release Version 1.83
- Release Version 1.82
- Release Version 1.81
- Release Version 1.80 (Jan-24-2022)
- Release Version 1.79 (Jan-03-2022)
- Release Version 1.78 (Dec-20-2021)
- Release Version 1.77 (Dec-06-2021)
- Release Version 1.76 (Nov-22-2021)
- Release Version 1.75 (Nov-09-2021)
- Release Version 1.74 (Oct-25-2021)
- Release Version 1.73 (Oct-04-2021)
- Release Version 1.72 (Sep-20-2021)
- Release Version 1.71 (Sep-09-2021)
- Release Version 1.70 (Aug-23-2021)
- Release Version 1.69 (Aug-09-2021)
- Release Version 1.68 (Jul-26-2021)
- Release Version 1.67 (Jul-12-2021)
- Release Version 1.66 (Jun-28-2021)
- Release Version 1.65 (Jun-14-2021)
- Release Version 1.64 (Jun-01-2021)
- Release Version 1.63 (May-19-2021)
- Release Version 1.62 (May-05-2021)
- Release Version 1.61 (Apr-20-2021)
- Release Version 1.60 (Apr-06-2021)
- Release Version 1.59 (Mar-23-2021)
- Release Version 1.58 (Mar-09-2021)
- Release Version 1.57 (Feb-22-2021)
- Release Version 1.56 (Feb-09-2021)
- Release Version 1.55 (Jan-25-2021)
- Release Version 1.54 (Jan-12-2021)
- Release Version 1.53 (Dec-22-2020)
- Release Version 1.52 (Dec-03-2020)
- Release Version 1.51 (Nov-10-2020)
- Release Version 1.50 (Oct-19-2020)
- Release Version 1.49 (Sep-28-2020)
- Release Version 1.48 (Sep-01-2020)
- Release Version 1.47 (Aug-06-2020)
- Release Version 1.46 (Jul-21-2020)
- Release Version 1.45 (Jul-02-2020)
- Release Version 1.44 (Jun-11-2020)
- Release Version 1.43 (May-15-2020)
- Release Version 1.42 (Apr-30-2020)
- Release Version 1.41 (Apr-2020)
- Release Version 1.40 (Mar-2020)
- Release Version 1.39 (Feb-2020)
- Release Version 1.38 (Jan-2020)
- Upcoming Features
Legacy Models in Hevo
On This Page
Legacy Models are identified by the LEGACY tag next to the Model name.
Manual Table Column Definition
In legacy Models, if you are creating a new output table for the query results, you need to explicitly select the columns to be included in it. Similarly, if you change the query, you must manually ensure that the correct columns are selected for the output table. The columns must be listed for inclusion in the same order as expected in the SQL query output. This step has been automated in the newer Models.
Truncate and Load
If the Truncate and load option is enabled, the table and its structure are retained but the data existing in the columns is deleted and recreated each time the Model is run.
See Also
Last updated on 22 Mar 2022