- 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
- 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
- Facebook Ads
- Facebook Page Insights
- 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
- Twitter Ads
- Streaming
- Source FAQs
- Destinations
- Transform
- Activate
- Alerts
- Account Management
- Troubleshooting
-
Troubleshooting Sources
- Troubleshooting Amazon DynamoDB
- 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 during Pipeline creation
- Troubleshooting Salesforce
- Troubleshooting Destinations
-
Troubleshooting Sources
- Glossary
- Release Notes
- 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
Effect of Transformations on the Destination Table Structure
On This Page
Refer to the following table to know how different Transformations may affect the structure of the Destination table:
Transformation | Effect on the Destination table |
---|---|
- Add Field - Flatten JSON - Parse JSON From String - Split Field |
A new column gets created in the Destination table, and the data is replicated in this new column. |
- Change Field Value - Drop Events - Find & Replace - Hash Fields - Mask Fields - Modify Type Casting - Rename Fields - Rename Events - Round-Off Decimal Fields |
No new column is created. The data is replicated to an existing column in the Destination table. |
- Format Date to String - Format Number to String - Parse Date from String - Parse Number From String |
These Transformations result in a change in the data type of the data being ingested. This can result in an incompatible data types error if existing table cannot accommodate the new data type. To resolve this error, you need to drop the existing Destination table and create a new one. Read more about Mapping an Event Type to a New Destination Table. Also read Handling Different Data Types in Source Data to know how Hevo handles data with different data types. |
NOTE: The Transformations apply only to the ingesting data. You must restart the historical load of the object to apply the Transformation to the existing data.
Revision History
Refer to the following table for the list of key updates made to this page:
Date | Release | Description of Change |
---|---|---|
Apr-25-2022 | NA | Updates the screenshots to reflect the latest UI. |
Nov-09-2021 | NA | New document. |
Last updated on 22 Apr 2022