Data Subject Request API Version 1 and 2
Data Subject Request API Version 3
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Getting Started
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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
Data Hosting Locations
Compose ID
Glossary
Migrate from Segment to mParticle
Migrate from Segment to Client-side mParticle
Migrate from Segment to Server-side mParticle
Segment-to-mParticle Migration Reference
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
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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
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Understanding the Screen View Event
Analyses Introduction
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For Clauses
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Getting Started with Funnels
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Interpreting a Funnel Analysis
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Manage Analyses in Dashboards
Dashboards––Getting Started
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IDSync Overview
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Components of IDSync
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Aliasing
Overview
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Introduction
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Blocked Data Backfill Guide
Predictive Attributes Overview
Create Predictive Attributes
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Use Predictive Attributes in Campaigns
Predictive Audiences Overview
Using Predictive Audiences
Introduction
Profiles
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Data Privacy Controls
Data Subject Requests
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Setup Examples
Introduction
Introduction
Introduction
Rudderstack
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Segment
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AWS Kinesis (Snowplow)
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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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