- 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
Generic SQL Server
Microsoft SQL (MS SQL) Server is a popular Relational Database Management System (RDBMS) used by small and large businesses. It can store and retrieve data as requested by software applications.
You can ingest data from your MS SQL Server using Hevo Pipelines and replicate it to a warehouse of your choice.
Prerequisites
-
The MS SQL Server is running.
-
MS SQL version is 12 or higher.
-
TCP/IP Protocol is enabled with TCP port as 1433.
-
VIEW CHANGE TRACKING, and ALTER DATABASE privileges are granted to the database user, if Pipeline Mode is Change Tracking or Table, and Query mode is Change Tracking.
-
SELECT privileges are granted to the database user.
-
You are assigned the Team Administrator, Team Collaborator, or Pipeline Administrator role in Hevo to create the Pipeline.
Perform the following steps to configure your Generic MS SQL Source:
Enable TCP/IP Protocol
You need to configure the MS SQL Server instance with TCP port value 1433 to enable Hevo to connect to your MS SQL Server.
Follow these steps to enable TCP/IP protocol for your MS SQL Server:
1. Enable the TCP/IP port
-
Open the SQL Server Configuration Manager.
-
In the left navigation pane under SQL Server Network Configuration, click Protocols for <MS SQL Server Instance Name>. The default instance name is MSSQLSERVER.
-
In the right pane, right click the TCP/IP Protocol Name, and select Enable (if not enabled already) in the Status field.
-
Click OK to acknowledge the dialogue box that warns you to restart the services for the changes to take effect.
2. Verify the TCP/IP port
Follow these steps to check the port where TCP/IP is enabled:
-
Right-click the TCP/IP Protocol Name, and select Properties.
-
In the TCP/IP Properties window, click the IP Addresses tab.
-
In the IPAII section, ensure the TCP Port value is 1433, which is the default port for MS SQL Server.
-
Click OK to acknowledge the dialogue box that warns you to restart the services for the changes to take effect.
-
Click OK, and exit the TCP/IP Properties window.
3. Restart the MS SQL Server instance
-
In the left navigation pane, click SQL Server Services.
-
In the right pane, right-click your < MS SQL Server Instance Name >, and select Restart.
Enable Change Tracking
The Change Tracking mechanism captures changes made to a database. In order to enable, or disable change tracking, the database user must have the ALTER DATABASE
privilege.
To enable change tracking, connect your MS SQL Server in your SQL Client tool, and enter these commands:
-
Enable change tracking at the database level:
ALTER DATABASE [<database>] SET CHANGE_TRACKING = ON;
-
Enable change tracking for each table you want to integrate:
ALTER TABLE [<schema>].[<table>] ENABLE CHANGE_TRACKING;
Grant Privileges to the User
The database user specified in the Hevo Pipeline must have the following global privileges:
-
SELECT
-
VIEW CHANGE TRACKING
(If Pipeline Mode is Change Tracking or Table, and Query mode is Change Tracking)
To set up these privileges, connect your MS SQL Server in your SQL Client tool, and enter these commands:
-
Grant
SELECT
privilege at the table and schema level:GRANT SELECT ON <schema_name>.<table_name> TO <username>;
-
Grant
VIEW CHANGE TRACKING
privilege, if Pipeline Mode is Change Tracking or Table, and Query mode is Change Tracking:GRANT VIEW CHANGE TRACKING ON <schema_name>.<table_name> TO <username>;
Specify Generic SQL Server Connection Settings
-
In the Configure your SQL Server Source page, specify the following:
-
Pipeline Name: A unique name for the Pipeline, not exceeding 255 characters.
-
SQL Server Host: SQL Server host’s IP address or DNS.
The following table lists a few examples of SQL Server hosts:
Variant Host Amazon RDS SQL Server ms-sql-server-1.xxxxx.rds.amazonaws.com Azure MS SQL mssql.database.windows.net Generic MS SQL 10.123.10.001 or mssql.westeros.inc Google Cloud SQL Server 35.220.150.0 Note: For URL-based hostnames, exclude the http:// or https:// part. For example, if the hostname URL is https://mssql.database.windows.net, enter mssql.database.windows.net.
-
SQL Server Port: The port on which your SQL Server is listening for connections. Default value: 1433.
-
SQL Server User: The read-only user who has the permissions to read tables in your database.
-
SQL Server Password: The password for the read-only user.
-
Select an Ingestion Mode: The desired mode by which you want to ingest data from the Source. You can expand this section by clicking SEE MORE to view the list of ingestion modes to choose from. Default value: Change Tracking. The available Ingestion Modes are Change Tracking, Table, and Custom SQL.
For ingestion mode as Table, read Object Settings for steps 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.
-
Schema Name: The schema that holds the tables to be replicated. Default value: dbo.
-
Connect through SSH: Enable this option to connect to Hevo using an SSH tunnel, instead of directly connecting your SQL Server database host to Hevo. This provides an additional level of security to your database by not exposing your SQL Server setup to the public. Read Connecting Through SSH.
If this option is disabled, you must whitelist Hevo’s IP addresses. Refer to the content for your SQL Server variant for steps to do this.
-
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 after the Pipeline has been built. If disabled, the new tables are listed in the Pipeline Detailed View in Skipped state, and you can manually include the ones you want and load their historical 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:
Connecting to a Local Database
Refer to this section for steps to connect to your local database. For detailed information and troubleshooting help, read Connecting to a LocalHost Database.
Prerequisites
-
MY-SQL/MS-SQL service is running on your local machine.
-
Data to be loaded to the Destination is available in your MY-SQL/MS-SQL database.
-
You have an account on ngrok and an installed ngrok utility on your local machine. To run ngrok on your local machine, follow these one-time steps:
-
Extract the ngrok utility:
-
On Linux or MacOS, unzip ngrok from a terminal:
unzip /path/to/ngrok.zip
-
On Windows, double-click ngrok.zip to extract it.
-
-
Authenticate ngrok in your local machine:
./ngrok authtoken <your_auth_token>
You can get the auth token from your ngrok dashboard. For example, in the image below, the auth_token starts with
1t7uGaJshUvnh2Fg1MApl
.
-
Connect to the local database
Perform the following steps to connect to the local database:
-
Log in to your database server.
-
Start a TCP tunnel forwarding to your database port.
./ngrok tcp <your_database_port>
For example, the port address for MySQL is 3306. Therefore, the command would be:
./ngrok tcp 3306
-
Copy the public IP address (hostname and port number) for your local database and port. For example, in the image below,
8.tcp.ngrok.io
is the database hostname and19789
is the port number. -
Paste the hostname and port number into the Database Host and Database Port fields respectively.
-
Specify all other settings and click TEST & CONTINUE.
Limitations
None.
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, Specify Generic SQL Server Connection Settings to add a note to inform users that all loaded Events are billable for Custom SQL mode-based Pipelines. |
Mar-09-2023 | 2.09 | Updated section, Specify Generic SQL Server Connection Settings to mention about SEE MORE in the Select an Ingestion Mode section. |
Dec-19-2022 | 2.04 | Updated section, Specify Generic SQL Server Connection Settings to add information that you must specify all fields to create a Pipeline. |
Dec-07-2022 | 2.03 | Updated section, Specify Generic SQL Server Connection Settings to mention about including skipped objects post-Pipeline creation. |
Dec-07-2022 | 2.03 | Updated section, Specify Generic SQL Server Connection Settings to mention about the connectivity checker. |
Apr-21-2022 | 1.86 | Updated section, Specify Generic SQL Server Connection Settings. |
Sep-08-2021 | NA | - Updated the fourth list item under Prerequisites - Updated sub-section Grant privileges to the user. |
Jul-26-2021 | 1.68 | Added a note for the SQL Server Host field. |
Jul-12-2021 | 1.67 | Added sections: - Specify Generic MS SQL Connection Settings - Connecting to a Local Database. |
Mar-09-2021 | 1.58 | Replaced references to Logical Replication with Change Tracking as Change Tracking is a distinct Pipeline mode for SQL Server Source types. |