- Introduction
- Getting Started
- Creating an Account in Hevo
- Subscribing to Hevo via AWS Marketplace
-
Connection Options
- Connecting Through SSH
- Connecting Through Reverse SSH Tunnel
- Connecting Through VPN
- Connecting Through Mongo PrivateLink
- Connecting Through AWS Transit Gateway
- Connecting Through AWS VPC Endpoint
- Connecting Through AWS VPC Peering
- Using Google Account Authentication
- How Hevo Authenticates Sources and Destinations using OAuth
- Reauthorizing an OAuth Account
- Familiarizing with the UI
- Creating your First Pipeline
- Data Loss Prevention and Recovery
- Data Ingestion
- Data Loading
- Loading Data in a Database Destination
- Loading Data to a Data Warehouse
- Optimizing Data Loading for a Destination Warehouse
- Deduplicating Data in a Data Warehouse Destination
- Manually Triggering the Loading of Events
- Scheduling Data Load for a Destination
- Loading Events in Batches
- Data Loading Statuses
- Data Spike Alerts
- Name Sanitization
- Table and Column Name Compression
- Parsing Nested JSON Fields in Events
- Pipelines
- Data Flow in a Pipeline
- Familiarizing with the Pipelines UI
- Working with Pipelines
- Managing Objects in Pipelines
- Pipeline Jobs
-
Transformations
-
Python Code-Based Transformations
- Supported Python Modules and Functions
-
Transformation Methods in the Event Class
- Create an Event
- Retrieve the Event Name
- Rename an Event
- Retrieve the Properties of an Event
- Modify the Properties for an Event
- Fetch the Primary Keys of an Event
- Modify the Primary Keys of an Event
- Fetch the Data Type of a Field
- Check if the Field is a String
- Check if the Field is a Number
- Check if the Field is Boolean
- Check if the Field is a Date
- Check if the Field is a Time Value
- Check if the Field is a Timestamp
-
TimeUtils
- Convert Date String to Required Format
- Convert Date to Required Format
- Convert Datetime String to Required Format
- Convert Epoch Time to a Date
- Convert Epoch Time to a Datetime
- Convert Epoch to Required Format
- Convert Epoch to a Time
- Get Time Difference
- Parse Date String to Date
- Parse Date String to Datetime Format
- Parse Date String to Time
- Utils
- Examples of Python Code-based Transformations
-
Drag and Drop Transformations
- Special Keywords
-
Transformation Blocks and Properties
- Add a Field
- Change Datetime Field Values
- Change Field Values
- Drop Events
- Drop Fields
- Find & Replace
- Flatten JSON
- Format Date to String
- Format Number to String
- Hash Fields
- If-Else
- Mask Fields
- Modify Text Casing
- Parse Date from String
- Parse JSON from String
- Parse Number from String
- Rename Events
- Rename Fields
- Round-off Decimal Fields
- Split Fields
- Examples of Drag and Drop Transformations
- Effect of Transformations on the Destination Table Structure
- Transformation Reference
- Transformation FAQs
-
Python Code-Based Transformations
-
Schema Mapper
- Using Schema Mapper
- Mapping Statuses
- Auto Mapping Event Types
- Manually Mapping Event Types
- Modifying Schema Mapping for Event Types
- Schema Mapper Actions
- Fixing Unmapped Fields
- Resolving Incompatible Schema Mappings
- Resizing String Columns in the Destination
- Schema Mapper Compatibility Table
- Limits on the Number of Destination Columns
- File Log
- Troubleshooting Failed Events in a Pipeline
- Mismatch in Events Count in Source and Destination
- Audit Tables
- Activity Log
-
Pipeline FAQs
- Can multiple Sources connect to one Destination?
- What happens if I re-create a deleted Pipeline?
- Why is there a delay in my Pipeline?
- Can I change the Destination post-Pipeline creation?
- Why is my billable Events high with Delta Timestamp mode?
- Can I drop multiple Destination tables in a Pipeline at once?
- How does Run Now affect scheduled ingestion frequency?
- Will pausing some objects increase the ingestion speed?
- Can I see the historical load progress?
- Why is my Historical Load Progress still at 0%?
- Why is historical data not getting ingested?
- How do I set a field as a primary key?
- How do I ensure that records are loaded only once?
- Events Usage
- Sources
- Free Sources
-
Databases and File Systems
- Data Warehouses
-
Databases
- Connecting to a Local Database
- Amazon DocumentDB
- Amazon DynamoDB
- Elasticsearch
-
MongoDB
- Generic MongoDB
- MongoDB Atlas
- Support for Multiple Data Types for the _id Field
- Example - Merge Collections Feature
-
Troubleshooting MongoDB
-
Errors During Pipeline Creation
- Error 1001 - Incorrect credentials
- Error 1005 - Connection timeout
- Error 1006 - Invalid database hostname
- Error 1007 - SSH connection failed
- Error 1008 - Database unreachable
- Error 1011 - Insufficient access
- Error 1028 - Primary/Master host needed for OpLog
- Error 1029 - Version not supported for Change Streams
- SSL 1009 - SSL Connection Failure
- Troubleshooting MongoDB Change Streams Connection
- Troubleshooting MongoDB OpLog Connection
-
Errors During Pipeline Creation
- SQL Server
-
MySQL
- Amazon Aurora MySQL
- Amazon RDS MySQL
- Azure MySQL
- Generic MySQL
- Google Cloud MySQL
- MariaDB MySQL
-
Troubleshooting MySQL
-
Errors During Pipeline Creation
- Error 1003 - Connection to host failed
- Error 1006 - Connection to host failed
- Error 1007 - SSH connection failed
- Error 1011 - Access denied
- Error 1012 - Replication access denied
- Error 1017 - Connection to host failed
- Error 1026 - Failed to connect to database
- Error 1027 - Unsupported BinLog format
- Failed to determine binlog filename/position
- Schema 'xyz' is not tracked via bin logs
- Errors Post-Pipeline Creation
-
Errors During Pipeline Creation
- MySQL FAQs
- Oracle
-
PostgreSQL
- Amazon Aurora PostgreSQL
- Amazon RDS PostgreSQL
- Azure PostgreSQL
- Generic PostgreSQL
- Google Cloud PostgreSQL
- Heroku PostgreSQL
-
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
- PostgreSQL FAQs
- Troubleshooting Database Sources
- File Storage
- Engineering Analytics
- Finance & Accounting Analytics
-
Marketing Analytics
- ActiveCampaign
- AdRoll
- Amazon Ads
- Apple Search Ads
- AppsFlyer
- CleverTap
- Criteo
- Drip
- Facebook Ads
- Facebook Page Insights
- Firebase Analytics
- Freshsales
- Google Ads
- Google Analytics
- Google Analytics 4
- Google Analytics 360
- Google Play Console
- Google Search Console
- HubSpot
- Instagram Business
- Klaviyo v2
- Lemlist
- LinkedIn Ads
- Mailchimp
- Mailshake
- Marketo
- Microsoft Ads
- Onfleet
- Outbrain
- Pardot
- Pinterest Ads
- Pipedrive
- Recharge
- Segment
- SendGrid Webhook
- SendGrid
- Salesforce Marketing Cloud
- Snapchat Ads
- SurveyMonkey
- Taboola
- TikTok Ads
- Twitter Ads
- Typeform
- YouTube Analytics
- Product Analytics
- Sales & Support Analytics
- Source FAQs
- Destinations
- Familiarizing with the Destinations UI
- Cloud Storage-Based
- Databases
-
Data Warehouses
- Amazon Redshift
- Amazon Redshift Serverless
- Azure Synapse Analytics
- Databricks
- Firebolt
- Google BigQuery
- Hevo Managed Google BigQuery
- Snowflake
-
Destination FAQs
- Can I change the primary key in my Destination table?
- How do I change the data type of table columns?
- Can I change the Destination table name after creating the Pipeline?
- How can I change or delete the Destination table prefix?
- Why does my Destination have deleted Source records?
- How do I filter deleted Events from the Destination?
- Does a data load regenerate deleted Hevo metadata columns?
- How do I filter out specific fields before loading data?
- Transform
- Alerts
- Account Management
- Activate
- Glossary
Releases- Release 2.30.2 (Nov 25-Dec 02, 2024)
- Release 2.30.1 (Nov 18-25, 2024)
- Release 2.30 (Oct 21-Nov 18, 2024)
-
2024 Releases
- Release 2.29 (Sep 30-Oct 22, 2024)
- Release 2.28 (Sep 02-30, 2024)
- Release 2.27 (Aug 05-Sep 02, 2024)
- Release 2.26 (Jul 08-Aug 05, 2024)
- Release 2.25 (Jun 10-Jul 08, 2024)
- Release 2.24 (May 06-Jun 10, 2024)
- Release 2.23 (Apr 08-May 06, 2024)
- Release 2.22 (Mar 11-Apr 08, 2024)
- Release 2.21 (Feb 12-Mar 11, 2024)
- Release 2.20 (Jan 15-Feb 12, 2024)
-
2023 Releases
- Release 2.19 (Dec 04, 2023-Jan 15, 2024)
- Release Version 2.18
- Release Version 2.17
- Release Version 2.16 (with breaking changes)
- Release Version 2.15 (with breaking changes)
- Release Version 2.14
- Release Version 2.13
- Release Version 2.12
- Release Version 2.11
- Release Version 2.10
- Release Version 2.09
- Release Version 2.08
- Release Version 2.07
- Release Version 2.06
-
2022 Releases
- Release Version 2.05
- Release Version 2.04
- Release Version 2.03
- Release Version 2.02
- Release Version 2.01
- Release Version 2.00
- Release Version 1.99
- Release Version 1.98
- Release Version 1.97
- Release Version 1.96
- Release Version 1.95
- Release Version 1.93 & 1.94
- Release Version 1.92
- 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)
-
2021 Releases
- 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)
-
2020 Releases
- 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)
- Early Access New
- Upcoming Features
Amazon Redshift
Amazon Redshift is a fully managed, reliable data warehouse service in the cloud that offers large-scale storage and analysis of data set and performs large-scale database migrations. It is a part of the larger cloud-computing platform Amazon Web Services (AWS).
You can ingest data from your Amazon Redshift database using Hevo Pipelines and replicate it to a Destination of your choice.
Prerequisites
-
An active AWS account is available.
-
The Amazon Redshift instance is running.
-
Database hostname and port number of the Source instance are available.
-
You are assigned the Team Administrator, Team Collaborator, or Pipeline Administrator role in Hevo to create the Pipeline.
Whitelist Hevo’s IP Addresses
You need to whitelist the Hevo IP address for your region to enable Hevo to connect to your Amazon Redshift database.
To do this, you need to add the inbound rules for your database, and verify Hevo IPs are whitelisted:
1. Add Inbound Rules
-
Log in to the Amazon Redshift dashboard.
-
In the left navigation pane, click Clusters.
-
Click the Cluster that you want to connect to Hevo.
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In the Properties tab, Network and security settings, click the link text under the VPC security group to open the Security Groups page.
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On the Security Groups page, click the Inbound rules tab, and then click Edit inbound rules.
-
On the Edit inbound rules page:
-
Click Add Rule.
-
In the Type column, select Redshift from the drop-down.
-
In the Port Range column, enter the port of your Amazon Redshift cluster. Default value: 5439.
-
In the Source column, select Custom from the drop-down and enter Hevo’s IP address for your region. Repeat this step to whitelist all the IP addresses.
-
Click Save.
-
2. (Optional) Verify Hevo IPs are Whitelisted
-
Log in to the Amazon Redshift dashboard.
-
In the left navigation pane, click Clusters.
-
Click the Cluster that you want to connect to Hevo.
-
In the Properties tab, Network and security settings, click the link text under the VPC ID link.
-
On the Your VPCs page, Details section, click the link text under Main network ACL.
-
On the Network ACLs page, click the Inbound rules tab and ensure that the IP addresses you added appear in the range of IPs that are set to Allow. Else, click Edit inbound rules to include these IPs in the allowed range.
Create a Database User and Grant Privileges
-
(Optional) Create a database user.
-
Log in to your Amazon Redshift database as a
superuser
or a user withCREATE
privilege. -
Enter the following command:
CREATE USER hevo WITH PASSWORD '<password>';
-
-
Grant
SELECT
privilege for all or specific tables to the user.-
Log in to your Amazon Redshift database as a
superuser
. -
Enter the following commands:
GRANT SELECT ON ALL TABLES IN SCHEMA <schema_name> TO hevo; GRANT SELECT ON TABLE <schema_name>.<table_name> TO hevo;
-
-
Optionally, view the list of tables available in a schema:
SELECT distinct(<table_name>) FROM pg_table_def WHERE <schema_name> = 'pg_catalog';
(Optional) Retrieve the Hostname and Port Number
-
Log in to the Amazon Redshift dashboard.
-
In the left navigation pane, click Clusters.
-
Click the Cluster that you want to connect to Hevo.
-
On the <Cluster_name> page, do the following:
-
Click the Copy icon to copy the JDBC URL and save it securely like any other password.
-
Navigate to the Properties tab, copy the Port and save it.
Use this JDBC URL (without the jdbc:redshift:// part) as the database host and the Port as the database port in Hevo while creating your Pipeline.
For example, in the JDBC URL jdbc:redshift://examplecluster.abc123xyz789.us-west-2.redshift.amazonaws.com:5439/dev, the database host is examplecluster.abc123xyz789.us-west-2.redshift.amazonaws.com.
-
Configure Amazon Redshift Connection Settings
Perform the following steps to configure Amazon Redshift as a Source in Hevo:
-
Click PIPELINES in the Navigation Bar.
-
Click + CREATE PIPELINE in the Pipelines List View.
-
On the Select Source Type page, select Amazon Redshift.
-
On the Configure your Amazon Redshift Source page, specify the following:
-
Pipeline Name: A unique name for your Pipeline, not exceeding 255 characters.
-
Database Cluster Identifier: Amazon Redshift host’s IP address or DNS name.
Note: For URL-based hostnames, exclude the initial jdbc:redshift:// part. For example, if the hostname URL is jdbc:redshift://examplecluster.abc123xyz789.us-west-2.redshift.amazonaws.com:5439/dev, enter examplecluster.abc123xyz789.us-west-2.redshift.amazonaws.com.
-
Database Port: The port on which your Amazon Redshift server listens for connections. Default value: 5439.
-
Database User: The database user that you created. This authenticated user has the permissions to read tables in your database.
-
Database Password: The password for the database user.
-
Select an Ingestion Mode: The desired mode by which you want to ingest data from the Source. The available ingestion modes are Table, and Custom SQL. Read Ingestion Modes.
Depending on the ingestion mode you select, you must configure the objects to be replicated. Refer to section, Object and Query Mode Settings for the steps to do this.
Note: For Custom SQL ingestion mode, all Events loaded to the Destination are billable.
-
Database Name: The database that you wish to replicate.
-
Connect through SSH: Enable this option to connect to Hevo using an SSH tunnel, instead of directly connecting your Amazon Redshift database host to Hevo. This provides an additional level of security to your database by not exposing your Amazon Redshift setup to the public. Read Connecting Through SSH.
If this option is disabled, you must whitelist Hevo’s IP addresses.
-
Advanced Settings:
-
Include New Tables in the Pipeline: Applicable for all ingestion modes except Custom SQL.
If enabled, Hevo automatically ingests data from tables created in the Source after the Pipeline has been set up. These may include completely new tables or previously deleted tables that have been re-created in the Source.
If disabled, new and re-created tables are not ingested automatically. They are added in SKIPPED state in the objects list, on the Pipeline Overview page. You can update their status to INCLUDED to ingest data. You can include these objects post-Pipeline creation to ingest data.
You can change this setting later.
-
-
-
Click TEST CONNECTION. This button is enabled once you specify all the mandatory fields. Hevo’s underlying connectivity checker validates the connection settings you provide.
-
Click TEST & CONTINUE to proceed for setting up the Destination. This button is enabled once you specify all the mandatory fields.
Object and Query Mode Settings
Once you have specified the Source connection settings in Step 4 above, do one of the following:
-
For Pipelines with Table mode:
-
On the Select Objects page, select the objects you want to replicate and click CONTINUE.
Note: Each object represents a table in your database.
-
On the Configure Objects page, specify the query mode you want to use for each selected object.
-
-
For Pipelines with Custom SQL mode:
-
On the Provide Query Settings page, enter the custom SQL query to fetch data from the Source.
-
In the Query Mode drop-down, select the query mode, and click CONTINUE.
-
Data Replication
For Teams Created | Default Ingestion Frequency | Minimum Ingestion Frequency | Maximum Ingestion Frequency | Custom Frequency Range (in Hrs) |
---|---|---|---|---|
Before Release 2.21 | 15 Mins | 15 Mins | 24 Hrs | 1-24 |
After Release 2.21 | 6 Hrs | 30 Mins | 24 Hrs | 1-24 |
Note: The custom frequency must be set in hours as an integer value. For example, 1, 2, or 3 but not 1.5 or 1.75.
-
Historical Data: In the first run of the Pipeline, Hevo ingests all available data for the selected objects from your Source database.
-
Incremental Data: Once the historical load is complete, data is ingested as per the ingestion frequency.
Additional Information
Read the detailed Hevo documentation for the following related topics:
Limitations
- None.
See Also
Revision History
Refer to the following table for the list of key updates made to this page:
Date | Release | Description of Change |
---|---|---|
Oct-22-2024 | NA | Updated sections, Whitelist Hevo’s IP Addresses and (Optional) Retrieve the Hostname and Port Number as per the Amazon Redshift UI. |
Mar-05-2024 | 2.21 | Added the Data Replication section. |
Nov-03-2023 | NA | Renamed section, Object Settings to Object and Query Mode Settings. |
Apr-21-2023 | NA | Updated section, Configure Amazon Redshift Connection Settings to add a note to inform users that all loaded Events are billable for Custom SQL mode-based Pipelines. |
Dec-19-2022 | 2.04 | Updated section, Configure Amazon Redshift Connection Settings to add information that you must specify all fields to create a Pipeline. |
Dec-07-2022 | 2.03 | Updated section, Configure Amazon Redshift Connection Settings to mention about including skipped objects post-Pipeline creation. |
Dec-07-2022 | 2.03 | Updated section, Configure Amazon Redshift Connection Settings to mention about the connectivity checker. |
Apr-21-2022 | 1.86 | Updated section, Configure Amazon Redshift Connection Settings. |
Jan-24-2021 | NA | Updated section, Whitelist Hevo’s IP Addresses as per the latest Amazon Redshift interface. |
Jan-03-2022 | 1.79 | Updated the description of the Include New Tables in the Pipeline advance setting in the Configure Amazon Redshift Connection Settings section. |
Jul-26-2021 | 1.68 | Added a note for the Database Cluster Identifier field. |
Jul-12-2021 | 1.67 | Added the field Include New Tables in the Pipeline under Source configuration settings. |
Feb-22-2021 | 1.57 | Revised the document to include the end-to-end procedure for configuring Amazon Redshift as a Source. |