- Getting Started
- Using Hevo
-
Pipelines
- Familiarizing with the Pipelines UI
- Pipeline Concepts
- 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
- Creating File Partitions for S3 Destination through Schema Mapper
- Schema Mapper Compatibility Table
- Sources
- Destinations
- Transform
- Activate
- Concepts and Reference
- Account Management
- About Hevo
- FAQs
-
Release Notes
- Release Version 1.60 (06-Apr-2021)
- Release Version 1.59 (23-Mar-2021)
- Release Version 1.58 (09-Mar-2021)
- Release Version 1.57 (22-Feb-2021)
- Release Version 1.56 (09-Feb-2021)
- Release Version 1.55 (25-Jan-2021)
- Release Version 1.54 (12-Jan-2021)
- Release Version 1.53 (22-Dec-2020)
- Release Version 1.52 (03-Dec-2020)
- Release Version 1.51 (10-Nov-2020)
- Release Version 1.50 (19-Oct-2020)
- Release Version 1.49 (28-Sep-2020)
- Release Version 1.48 (01-Sep-2020)
- Release Version 1.47 (06-Aug-2020)
- Release Version 1.46 (21-Jul-2020)
- Release Version 1.45 (02-Jul-2020)
- Release Version 1.44 (11-Jun-2020)
- Release Version 1.43 (15-May-2020)
- Release Version 1.42 (30-Apr-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)
Release Version 1.46 (21-Jul-2020)
ON THIS PAGE
Destinations
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Added the
__hevo_loaded_at
column to Amazon Redshift, Google BigQuery, and Snowflake tables, to mark the time when an Event is deleted, updated, or inserted into a Destination table. The difference between the ingestion and loading time measures the total time taken by Hevo to process the Event. -
Enhanced the Auto Mapping functionality to create sort keys (on the primary keys) when creating tables in the Amazon Redshift data warehouse, consequently improving the query efficiency during loading of Events.
Schema Mapper
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Configured separate statuses for auto-mapped (Auto Mapped) and manually mapped (Mapped) Event Types.
-
Provided Bulk Actions in the Schema Mapper, whereby you can apply an action on multiple Event Types at the same time.
Read about Bulk Actions in Schema Mapper.
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