- 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
- 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
-
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
- Activity Log
-
Pipeline FAQs
- Does creation of Pipeline incur cost?
- Why are my new Pipelines in trial?
- 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 delete skipped objects in a Pipeline?
- Can I change the Destination post-Pipeline creation?
- How does changing the query mode affect data ingestion?
- 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 sort Event Types listed in the Schema Mapper?
- How do I include new tables in the Pipeline?
- 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 restart the historical load for all the objects?
- How do I set a field as a primary key?
- How can I load only filtered Events to the Destination?
- How do I ensure that records are loaded only once?
- Why do the Source and the Destination events count differ?
- 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
- Google Cloud MySQL
- Generic 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
- Google Cloud PostgreSQL
- Generic 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
- Apify
- Asana
- Buildkite
- GitHub
-
Streaming
- Android SDK
- Kafka
-
REST API
- Writing JSONPath Expressions
-
REST API FAQs
- Why does my REST API token keep changing?
- Can I use a bearer authorization token for authentication?
- Does Hevo’s REST API support API chaining?
- What is the maximum payload size returned by a REST API?
- How do I split an Event into multiple Event Types?
- How do I split multiple values in a key into separate Events?
- Webhook
- GitLab
- Jira Cloud
- Opsgenie
- PagerDuty
- Pingdom
- Trello
- Finance & Accounting Analytics
-
Marketing Analytics
- ActiveCampaign
- AdRoll
- Apple Search Ads
- AppsFlyer
- CleverTap
- Criteo
- Drip
- Facebook Ads
- Facebook Page Insights
- Firebase Analytics
- Freshsales
- Google Campaign Manager
- Google Ads
- Google Analytics
- Google Analytics 4
- Google Analytics 360
- Google Play Console
- Google Search Console
- HubSpot
- Instagram Business
- Klaviyo
- Lemlist
- LinkedIn Ads
- Mailchimp
- Mailshake
- Marketo
- Microsoft Advertising
- 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
- From how far back can the Pipeline ingest data?
- Can I connect to a Source not listed in Hevo?
- Can I connect a local database as a Source?
- How can I push data to Hevo API?
- How do I connect a CSV file as a Source?
- Why are my selected Source objects not visible in the Schema Mapper?
- How can I transfer Excel files using Hevo?
- How does the Merge Table feature work?
- Destinations
- Familiarizing with the Destinations UI
- Databases
-
Data Warehouses
- Amazon Redshift
- Azure Synapse Analytics
- Databricks
- Firebolt
- Google BigQuery
- Hevo Managed Google BigQuery
- Snowflake
-
Destination FAQs
- Can I move data between SaaS applications using Hevo?
- 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?
- How do I resolve duplicate records in the Destination table?
- How do I enable or disable deduplication of records?
- 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?
- Can I load data to a specific Destination table?
- How do I filter out specific fields before loading data?
- How do I sort the data in the Destination?
- Transform
- Alerts
- Account Management
- Personal Settings
- Team Settings
-
Billing
- Pricing Plans
- Time-based Events Buffer
- Setting up Pricing Plans, Billing, and Payments
- On-Demand Purchases
- Billing Alerts
- Viewing Billing History
- Billing Notifications
-
Billing FAQs
- Can I try Hevo for free?
- Can I get a plan apart from the Starter plan?
- Are free trial Events charged once I purchase a plan?
- For how long can I stay on the Free plan?
- How can I upgrade my plan?
- Is there a discount for non-profit organizations?
- Can I seek a refund of my payment?
- Do ingested Events count towards billing?
- Will Pipeline get paused if I exceed the Events quota?
- Will the initial load of data be free?
- Does the Hevo plan support multiple Destinations?
- Do rows loaded through Models count in my usage?
- Is Hevo subscription environment-specific?
- Can I pause billing if I have no active Pipelines?
- Can you explain the pricing plans in Hevo?
- Where do I get invoices for payments?
- Account Suspension and Restoration
- Account Management FAQs
- Activate
- Glossary
- Release Notes
- 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
- 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)
- 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
Amazon Redshift
On This Page
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.
-
In the Properties tab, Network and security settings, click the link text under the VPC security group to open the Security Groups page.
-
In the Security Groups page, click the Inbound rules tab, and then click Edit inbound rules.
-
In 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.
-
In the Your VPCs page, Details tab, click the link text under Main network ACL.
-
In 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; #all tables GRANT SELECT ON TABLE <schema_name>.<table_name> TO hevo; #specific table
-
-
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.
-
Under Cluster Database Properties, locate the JDBC URL and the Port. The default Amazon Redshift port is 5439.
Use this JDBC URL (minus 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 in the Pipelines List View.
-
In the Select Source Type page, select Amazon Redshift.
-
In 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 is listening for connections. Default value: 5439.
-
Database User: The authenticated user who 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.
For ingestion mode as Table, read Object Settings to configure the objects to be replicated.
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, in 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.
Additional Information
Read the detailed Hevo documentation for the following related topics:
Object Settings
Object settings must be configured if the Ingestion mode is Table.
To do this:
-
Once the Source settings are specified in step 4, select the objects to be replicated in the SELECT OBJECTS YOU WANT TO REPLICATE page, and then, click CONTINUE.
Note: Each object represents a table in your database.
-
In the CONFIGURE SOURCE OBJECTS page, specify the query mode to be used for each selected object.
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 |
---|---|---|
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. |