- 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
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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
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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
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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
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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 Campaign Manager
- 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 2.28.2 (Oct 07-14, 2024)
- Release 2.28.1 (Sep 30-Oct 07, 2024)
- Release 2.28 (Sep 02-30, 2024)
- 2024 Releases
-
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 Aurora MySQL
Hevo can load data from any of your Pipelines into an Amazon Aurora MySQL database. Follow the steps in this page to configure Amazon Aurora MySQL as a Destination.
We do not recommend using an Amazon Aurora MySQL Destination for building your production Pipelines. It can perform poorly even for low volumes of data. If you run into performance issues, these may be unresolvable, and you will have to migrate to a different Destination. Read Limitations of using MySQL as a Destination.
Prerequisites
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The Amazon Aurora MySQL instance is running.
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The MySQL version is 5.5 or higher. You can choose the MySQL version while creating the instance.
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The database hostname and port number of the Amazon Aurora MySQL instance are available.
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You are assigned the Team Collaborator or any administrator role except the Billing Administrator role in Hevo to create the Destination.
Retrieve the Hostname and Port Number (Optional)
Note: The Amazon Aurora MySQL hostnames start with your database name and end with rds.amazonaws.com. For example, mysql-rds-replica-1.xxxxxxxxx.rds.amazonaws.com.
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In the left navigation pane of the Amazon RDS console, click Databases (or Instances if you are using an older version).
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In the Databases section on the right, click the DB identifier of the Amazon Aurora MySQL instance. For example, database-1-instance-1 in the image below.
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Click the Connectivity & security tab, and copy the values under Endpoint and Port. Use these values as the database host and database port respectively while configuring your Amazon Aurora MySQL Destination.
Whitelist Hevo’s IP Addresses
You need to whitelist the Hevo IP address(es) for your region to enable Hevo to connect to your Amazon Aurora MySQL database.
To do this:
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Open the Amazon RDS console.
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In the left navigation pane, click Databases (or Instances if you’re using an older version).
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In the Databases section on the right, click the DB identifier of the Aurora MySQL instance to configure its security group. For example, database-1-instance-1 in the image below.
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In the Connectivity & security tab, click the link text under Security, VPC security groups.
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In the Actions drop-down at the top, select Edit inbound rules.
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In the Edit inbound rules page:
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Click Add rule.
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Add the Hevo IP address(es) for your region to grant Hevo access to the Amazon Aurora MySQL instance.
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Click Save rules.
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Create a Database User and Grant Privileges
1. Create a database user
Perform the following steps to create a user in your Amazon Aurora MySQL database:
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Log in to your Amazon Aurora MySQL database instance as a
root
user using an SQL client tool. -
Enter the following command:
CREATE USER '<user_name>'@'%' IDENTIFIED BY '<strong password>';
Note: Replace the placeholder values in the command above with your own.
2. Grant privileges to the user
The following table lists the privileges that Hevo requires to connect to and load data into your Amazon Aurora MySQL Destination:
Privilege Name | Allows Hevo to |
---|---|
ALTER | Edit database tables. |
CREATE | Create databases and tables. |
CREATE TEMPORARY TABLES | Create temporary tables. |
DELETE | Delete rows from database tables. |
DROP | Delete databases and tables. |
INSERT | Insert rows into database tables. |
SELECT | Select rows from database tables. |
UPDATE | Update rows in database tables. |
Perform the following steps to grant the required privileges to the user:
-
Log in to your Amazon Aurora MySQL database instance as a
root
user using an SQL client tool. -
Enter the following command:
GRANT ALTER, CREATE, CREATE TEMPORARY TABLES, DELETE, DROP, INSERT, SELECT, UPDATE ON *.* TO '<user_name>'@'%';
Note: Replace the placeholder values in the command above with your own.
Configure Amazon Aurora MySQL Connection Settings
Perform the following steps to configure Amazon Aurora MySQL as a Destination in Hevo:
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Click DESTINATIONS in the Navigation Bar.
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Click + CREATE DESTINATION in the Destinations List View.
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In the Add Destination page, select Amazon Aurora MySQL.
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In the Configure your Amazon Aurora MySQL Destination page, specify the following:
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Destination Name: A unique name for your Destination, not exceeding 255 characters.
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Database Host: The Amazon Aurora MySQL host’s IP address or DNS. This is the endpoint that you retrieved in Step 1 above.
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Database Port: The port on which your Amazon Aurora MySQL server listens for connections. This can be the port number that you retrieved in Step 3 above or the one that you specified while configuring the database. Default value: 3306.
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Database User: The database user that you created. This is a user with a non-administrative role in the Amazon Aurora MySQL database.
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Database Password: The password of the database user.
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Database Name: The name of the Destination database where data is to be loaded.
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Additional Settings:
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Connect through SSH: Enable this option to connect to Hevo using an SSH tunnel, instead of directly connecting your Amazon Aurora MySQL database host to Hevo. This provides an additional level of security to your database by not exposing your Amazon Aurora MySQL setup to the public. Read Connecting Through SSH.
If this option is disabled, you must whitelist Hevo’s IP addresses. Refer to the section Whitelist Hevo’s IP addresses for the steps to do this.
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Use SSL: Enable this option to use an SSL-encrypted connection. Specify the following:
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CA File: The file containing the SSL server certificate authority (CA).
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Client Certificate: The client public key certificate file.
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Client Key: The client private key file.
For the steps to create the required files and keys, read Amazon Aurora MySQL.
-
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Sanitize Table/Column Names?: Enable this option to remove all non-alphanumeric characters and spaces in a table or column name, and replace them with an underscore (_). Read Name Sanitization.
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-
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Click TEST CONNECTION. This button is enabled once all the mandatory fields are specified.
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Click SAVE & CONTINUE. This button is enabled once all the mandatory fields are specified.
Additional Information
Read the detailed Hevo documentation for the following related topics:
Destination Considerations
- You must disable any foreign keys defined in the target tables. Foreign keys do not allow data to be loaded until the reference table has a corresponding key defined.
Limitations
- Hevo replicates a maximum of 4096 columns to each Amazon Aurora MySQL table, of which, six are Hevo-reserved metadata columns used during data replication. Therefore, your Pipeline can replicate up to 4090 (4096-6) columns for each table.
Revision History
Refer to the following table for the list of key updates made to this page:
Date | Release | Description of Change |
---|---|---|
Apr-25-2023 | 2.12 | Updated section, Configure Amazon Aurora MySQL Connection Settings to add information that you must specify all fields to create a Pipeline. |
Sep-07-2022 | NA | Added the following sections: - Prerequisites, - Whitelist Hevo’s IP Addresses, - Create a Database User and Grant Privileges, - Retrieve the Hostname and Port Number. |
Feb-21-2022 | 1.82 | Updated section, Configure Amazon Aurora MySQL Connection Settings to provide support for SSL in Amazon Aurora MySQL as a Destination. |
Jul-12-2021 | NA | Added section, Destination Considerations. |