Data Subject Request API Version 1 and 2
Data Subject Request API Version 3
Platform API Overview
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Apps
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Calculated Attributes
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Warehouse Sync API Overview
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Warehouse Sync SQL Reference
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ComposeID
Warehouse Sync API v2 Migration
Bulk Profile Deletion API Reference
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Data Planning API
Group Identity API Reference
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Events API
mParticle JSON Schema Reference
IDSync
AMP SDK
Initialization
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IDSync
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API Reference
Upgrade to Version 5
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Android
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Initialization
Configuration
Event Tracking
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Commerce Events
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Media
Kits
Application State and Session Management
Data Privacy Controls
Error Tracking
Opt Out
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Preventing Blocked HTTP Traffic with CNAME
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Troubleshooting iOS SDK
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iOS 14 Guide
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API Reference
Upgrade to Version 7
Getting Started
Identity
Upload Frequency
Getting Started
Opt Out
Initialize the SDK
Event Tracking
Commerce Tracking
Error Tracking
Screen Tracking
Identity
Location Tracking
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Initialization
Configuration
Content Security Policy
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Location Tracking
Media
Kits
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Opt Out
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Preventing Blocked HTTP Traffic with CNAME
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API Reference
Upgrade to Version 2 of the SDK
Getting Started
Identity
Web
Alexa
Node SDK
Go SDK
Python SDK
Ruby SDK
Java SDK
Overview
Step 1. Create an input
Step 2. Verify your input
Step 3. Set up your output
Step 4. Create a connection
Step 5. Verify your connection
Step 6. Track events
Step 7. Track user data
Step 8. Create a data plan
Step 9. Test your local app
Overview
Step 1. Create an input
Step 2. Verify your input
Step 3. Set up your output
Step 4. Create a connection
Step 5. Verify your connection
Step 6. Track events
Step 7. Track user data
Step 8. Create a data plan
Step 1. Create an input
Step 2. Create an output
Step 3. Verify output
Introduction
Outbound Integrations
Firehose Java SDK
Inbound Integrations
Compose ID
Data Hosting Locations
Glossary
Rules Developer Guide
API Credential Management
The Developer's Guided Journey to mParticle
Create an Input
Start capturing data
Connect an Event Output
Create an Audience
Connect an Audience Output
Transform and Enhance Your Data
The new mParticle Experience
The Overview Map
Introduction
Data Retention
Connections
Activity
Live Stream
Data Filter
Rules
Tiered Events
mParticle Users and Roles
Analytics Free Trial
Troubleshooting mParticle
Usage metering for value-based pricing (VBP)
Introduction
Sync and Activate Analytics User Segments in mParticle
User Segment Activation
Welcome Page Announcements
Project Settings
Roles and Teammates
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Global Project Filters
Portfolio Analytics
Analytics Data Manager Overview
Events
Event Properties
User Properties
Revenue Mapping
Export Data
UTM Guide
Data Dictionary
Query Builder Overview
Modify Filters With And/Or Clauses
Query-time Sampling
Query Notes
Filter Where Clauses
Event vs. User Properties
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Apply All for Filter Where Clauses
Date Range and Time Settings Overview
Understanding the Screen View Event
Analyses Introduction
Getting Started
Visualization Options
For Clauses
Date Range and Time Settings
Calculator
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Properties Explorer
Frequency in Segmentation
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Cumulative vs. Non-Cumulative Analysis in Segmentation
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Save Your Segmentation Analysis
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Explore Users from Segmentation
Getting Started with Funnels
Group By Settings
Conversion Window
Tracking Properties
Date Range and Time Settings
Visualization Options
Interpreting a Funnel Analysis
Group By
Filters
Conversion over Time
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Trends
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Analyze as Cohort from Funnel
Save a Funnel Analysis
Explore Users from a Funnel
Export Results from a Funnel
Saved Analyses
Manage Analyses in Dashboards
Dashboards––Getting Started
Manage Dashboards
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Organize Dashboards
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Time and Interval Settings in Dashboards
Query Notes in Dashboards
User Aliasing
The Demo Environment
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Analytics for Marketers
Analytics for Product Managers
Compare Conversion Across Acquisition Sources
Analyze Product Feature Usage
Identify Points of User Friction
Time-based Subscription Analysis
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Understand Product Stickiness
Optimize User Flow with A/B Testing
User Segments
IDSync Overview
Use Cases for IDSync
Components of IDSync
Store and Organize User Data
Identify Users
Default IDSync Configuration
Profile Conversion Strategy
Profile Link Strategy
Profile Isolation Strategy
Best Match Strategy
Aliasing
Overview
Create and Manage Group Definitions
Introduction
Catalog
Live Stream
Data Plans
Blocked Data Backfill Guide
Predictive Attributes Overview
Create Predictive Attributes
Assess and Troubleshoot Predictions
Use Predictive Attributes in Campaigns
Predictive Audiences Overview
Using Predictive Audiences
Introduction
Profiles
Warehouse Sync
Data Privacy Controls
Data Subject Requests
Default Service Limits
Feeds
Cross-Account Audience Sharing
Approved Sub-Processors
Import Data with CSV Files
CSV File Reference
Glossary
Video Index
Single Sign-On (SSO)
Setup Examples
Introduction
Introduction
Introduction
Rudderstack
Google Tag Manager
Segment
Advanced Data Warehouse Settings
AWS Kinesis (Snowplow)
AWS Redshift (Define Your Own Schema)
AWS S3 (Snowplow Schema)
AWS S3 Integration (Define Your Own Schema)
BigQuery (Snowplow Schema)
BigQuery Firebase Schema
BigQuery (Define Your Own Schema)
GCP BigQuery Export
Snowflake (Snowplow Schema)
Snowplow Schema Overview
Snowflake (Define Your Own Schema)
Aliasing
This SDK is a helper library for the mParticle Events HTTP API, it exposes mParticle’s schema as simple models and provides an HTTP client interface. This SDK is stateless and will only send the data that you populate, whereas our mobile SDKs will automatically collect app and device information, session events, install events, and maintain persistence. Read this wiki for a general overview and examples, and contact our customer support team to make sure you’re feeding the platform with the right data to power your integrations.
The SDK is hosted on Github and currently exposes a single events
package:
go get github.com/mParticle/mparticle-go-sdk/events
import "github.com/mParticle/mparticle-go-sdk/events"
All data sent via the SDK must be encapsulated in a Batch struct. Each Batch is associated with a single user. Batch objects must be associated with an environment (development
or production
) to properly silo your testing and production data.
//"DevelopmentEnvironment" or "ProductionEnvironment"
batch := events.Batch{Environment: events.DevelopmentEnvironment}
Most use-cases require that data be associated with a user identity, for example:
batch.UserIdentities = &events.UserIdentities{
CustomerID: "go1234",
Email: "go-example@foo.com",
}
The DeviceInformation
object describes the device that should be associated with this batch. Crucially, it exposes properties for device identities (Apple IDFA and Google Advertising ID) which are required for nearly all mParticle Audience integrations.
batch.DeviceInfo = &events.DeviceInformation{
IOSAdvertisingID: "607258d9-c28b-43ad-95ed-e9593025d5a1",
}
The mParticle audience platform can be powered by only sending a combination of user attributes, used to describe segments of users, and device identities/user identities used to then target those users.
# arbitrary example allowing you to create a segment of users trial users
batch.UserAttributes = make(map[string]interface{})
batch.UserAttributes["Account type"] = "trial"
batch.UserAttributes["Account capabilities"] = []string{"foo", "bar"}
Events are central to many of mParticle’s integrations; analytics integrations typically require events, and you can create mParticle Audiences based on the recency and frequency of different events. All events should be associated with a timestamp reflecting when they actually occurred, otherwise they will be assigned a timestamp when mParticle receives them.
Custom Events represent specific actions that a user has taken in your app. At minimum they require a name and a type, but can also be associate with a free-form dictionary of key/value pairs.
customEvent := events.NewCustomEvent()
customEvent.Data.EventName = "My Custom Event Name"
customEvent.Data.CustomEventType = events.OtherCustomEventType
customEvent.Data.CustomAttributes = make(map[string]string)
customEvent.Data.CustomAttributes["foo"] = "bar"
The Commerce event is central to mParticle’s Commerce measurement. Commerce events can contain many data points but it’s important to understand that there are 3 core variations:
totalProductAmount := 10.00
totalProducts := int32(2)
product := events.Product{
TotalProductAmount: &totalProductAmount,
ID: "product-id",
Name: "product-name",
Quantity: &totalProducts,
}
totalPurchaseAmount := 20
commerceEvent := events.NewCommerceEvent()
commerceEvent.Data.ProductAction = &events.ProductAction{
Action: events.PurchaseAction,
TotalAmount: &totalPurchaseAmount,
TransactionID: "foo-transaction-id",
Products: []events.Product{product},
}
The SessionStartEvent
and SessionEndEvent
should be used to describe the details of user session such as its length, which is a common metric used in many mParticle integrations. Additionally, recency and frequency of sessions are powerful data-points by which an mParticle audience can be defined.
sessionStartEvent := events.NewSessionStartEvent()
sessionStartEvent.Data.SessionID = 12345678
sessionStartEvent.Data.TimestampUnixtimeMS = int32(time.Now().Unix())
sessionEndEvent := events.NewSessionEndEvent()
sessionEndEvent.Data.SessionID = 12345678
sessionEndEvent.Data.SessionDurationMS = int32(time.Now().Unix())
To conform to the ever growing global regulations on data privacy, mParticle provides Data Privacy Controls.
Data privacy controls are initially configured in the dashboard and are attached via a batch’s consent_state
.
gdprConsentState := events.GdprConsentState{
Document: "document_agreement.v2",
Consented: true,
TimestampUnixtimeMS: int32(time.Now().Unix()),
}
consentState := &events.ConsentState{
GDPR: make(map[string]GdprConsentState),
}
consentState.GDPR["my-purpose"] = gdprConsentState
batch.ConsentState = consentState
In this example, 'My Purpose'
should match the Consent Purpose defined in your mParticle GDPR settings.
The SDK provides an interface to the mParticle HTTP API by way of the APIService type.
Configuration
struct that you can use to customize the BasePath
of a request. For most use case you can just create a default Configuration
with events.NewConfiguration()
context
object, containing the credentails for the request.context
with the correct key and secret. Typically you will want to create a new “Custom Feed” input. However, you can also use “platform” keys (eg iOS/Android) directly.package main
import (
"context"
"fmt"
"github.com/mParticle/mparticle-go-sdk/events"
)
func main() {
client := events.NewAPIClient(events.NewConfiguration())
ctx := context.WithValue(
context.Background(),
events.ContextBasicAuth,
events.BasicAuth{
APIKey: "REPLACE WITH API KEY",
APISecret: "REPLACE WITH API SECRET",
},
)
batch := events.Batch{Environment: events.DevelopmentEnvironment} //or "ProductionEnvironment"
//set user identities
batch.UserIdentities = &events.UserIdentities{
CustomerID: "go1234",
Email: "go-example@foo.com",
}
//set context
batch.BatchContext = &events.BatchContext{
//configure data plan
DataPlan: &events.DataPlanContext{
PlanID: "freddy_s_plan",
PlanVersion: 1,
},
}
//set device identities
batch.DeviceInfo = &events.DeviceInformation{
IOSAdvertisingID: "607258d9-c28b-43ad-95ed-e9593025d5a1",
}
//set user attributes
batch.UserAttributes = make(map[string]interface{})
batch.UserAttributes["foo"] = "bar"
batch.UserAttributes["foo-array"] = []string{"bar1", "bar2"}
customEvent := events.NewCustomEvent()
customEvent.Data.EventName = "My Custom Event Name"
customEvent.Data.CustomEventType = events.OtherCustomEventType
customEvent.Data.CustomAttributes = make(map[string]string)
customEvent.Data.CustomAttributes["foo"] = "bar"
screenEvent := events.NewScreenViewEvent()
screenEvent.Data.ScreenName = "My Screen Name"
totalProductAmount := 123.12
product := events.Product{
TotalProductAmount: &totalProductAmount,
ID: "product-id",
Name: "product-name",
}
commerceEvent := events.NewCommerceEvent()
totalPurchaseAmount := 123.12
commerceEvent.Data.ProductAction = &events.ProductAction{
Action: events.PurchaseAction,
TotalAmount: &totalPurchaseAmount,
TransactionID: "foo-transaction-id",
Products: []events.Product{product},
}
batch.Events = []events.Event{customEvent, screenEvent, commerceEvent}
result, err := client.EventsAPI.UploadEvents(ctx, batch)
if result != nil && result.StatusCode == 202 {
fmt.Println("Upload successful")
} else {
fmt.Errorf(
"Error while uploading!\nstatus: %v\nresponse body: %#v",
err.(events.GenericError).Error(),
err.(events.GenericError).Model())
}
}
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