Sign Up

Documentation

Developers

API References
Data Subject Request API

Data Subject Request API Version 1 and 2

Data Subject Request API Version 3

Platform API

Platform API Overview

Accounts

Apps

Audiences

Calculated Attributes

Data Points

Feeds

Field Transformations

Services

Users

Workspaces

Warehouse Sync API

Warehouse Sync API Overview

Warehouse Sync API Tutorial

Warehouse Sync API Reference

Data Mapping

Warehouse Sync SQL Reference

Warehouse Sync Troubleshooting Guide

ComposeID

Warehouse Sync API v2 Migration

Custom Access Roles API

Bulk Profile Deletion API Reference

Data Planning API

Group Identity API Reference

Calculated Attributes Seeding API

Pixel Service

Profile API

Events API

mParticle JSON Schema Reference

IDSync

Client SDKs
AMP

AMP SDK

Android

Initialization

Configuration

Network Security Configuration

Event Tracking

User Attributes

IDSync

Screen Events

Commerce Events

Location Tracking

Media

Kits

Application State and Session Management

Data Privacy Controls

Error Tracking

Opt Out

Push Notifications

WebView Integration

Logger

Preventing Blocked HTTP Traffic with CNAME

Linting Data Plans

Troubleshooting the Android SDK

API Reference

Upgrade to Version 5

Cordova

Cordova Plugin

Identity

Direct Url Routing

Direct URL Routing FAQ

Web

Android

iOS

Flutter

Getting Started

Usage

API Reference

iOS

Initialization

Configuration

Event Tracking

User Attributes

IDSync

Screen Tracking

Commerce Events

Location Tracking

Media

Kits

Application State and Session Management

Data Privacy Controls

Error Tracking

Opt Out

Push Notifications

Webview Integration

Upload Frequency

App Extensions

Preventing Blocked HTTP Traffic with CNAME

Linting Data Plans

Troubleshooting iOS SDK

Social Networks

iOS 14 Guide

iOS 15 FAQ

iOS 16 FAQ

iOS 17 FAQ

iOS 18 FAQ

API Reference

Upgrade to Version 7

React Native

Getting Started

Identity

Roku

Getting Started

Identity

Media

Unity

Upload Frequency

Getting Started

Opt Out

Initialize the SDK

Event Tracking

Commerce Tracking

Error Tracking

Screen Tracking

Identity

Location Tracking

Session Management

Xbox

Getting Started

Identity

Web

Initialization

Configuration

Content Security Policy

Event Tracking

User Attributes

IDSync

Page View Tracking

Commerce Events

Location Tracking

Media

Kits

Application State and Session Management

Data Privacy Controls

Error Tracking

Opt Out

Custom Logger

Persistence

Native Web Views

Self-Hosting

Multiple Instances

Web SDK via Google Tag Manager

Preventing Blocked HTTP Traffic with CNAME

Facebook Instant Articles

Troubleshooting the Web SDK

Browser Compatibility

Linting Data Plans

API Reference

Upgrade to Version 2 of the SDK

Xamarin

Getting Started

Identity

Web

Alexa

Media SDKs

iOS

Web

Android

Quickstart
Android

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

HTTP Quick Start

Step 1. Create an input

Step 2. Create an output

Step 3. Verify output

iOS Quick Start

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

Java Quick Start

Step 1. Create an input

Step 2. Create an output

Step 3. Verify output

Node Quick Start

Step 1. Create an input

Step 2. Create an output

Step 3. Verify output

Python Quick Start

Step 1. Create an input

Step 2. Create an output

Step 3. Verify output

Web

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

Server SDKs

Node SDK

Go SDK

Python SDK

Ruby SDK

Java SDK

Tools

mParticle Command Line Interface

Linting Tools

Smartype

Guides
Partners

Introduction

Outbound Integrations

Outbound Integrations

Firehose Java SDK

Inbound Integrations

Kit Integrations

Overview

Android Kit Integration

JavaScript Kit Integration

iOS Kit Integration

Compose ID

Data Hosting Locations

Glossary

Migrate from Segment to mParticle

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

Guides

Getting Started

Create an Input

Start capturing data

Connect an Event Output

Create an Audience

Connect an Audience Output

Transform and Enhance Your Data

Platform Guide
The New mParticle Experience

The new mParticle Experience

The Overview Map

Observability

Observability Overview

Observability User Guide

Observability Span Glossary

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)

Analytics

Introduction

Setup

Sync and Activate Analytics User Segments in mParticle

User Segment Activation

Welcome Page Announcements

Settings

Project Settings

Roles and Teammates

Organization Settings

Global Project Filters

Portfolio Analytics

Analytics Data Manager

Analytics Data Manager Overview

Events

Event Properties

User Properties

Revenue Mapping

Export Data

UTM Guide

Query Builder

Data Dictionary

Query Builder Overview

Modify Filters With And/Or Clauses

Query-time Sampling

Query Notes

Filter Where Clauses

Event vs. User Properties

Group By Clauses

Annotations

Cross-tool Compatibility

Apply All for Filter Where Clauses

Date Range and Time Settings Overview

Understanding the Screen View Event

Analyses

Analyses Introduction

Segmentation: Basics

Getting Started

Visualization Options

For Clauses

Date Range and Time Settings

Calculator

Numerical Settings

Segmentation: Advanced

Assisted Analysis

Properties Explorer

Frequency in Segmentation

Trends in Segmentation

Did [not] Perform Clauses

Cumulative vs. Non-Cumulative Analysis in Segmentation

Total Count of vs. Users Who Performed

Save Your Segmentation Analysis

Export Results in Segmentation

Explore Users from Segmentation

Funnels: Basics

Getting Started with Funnels

Group By Settings

Conversion Window

Tracking Properties

Date Range and Time Settings

Visualization Options

Interpreting a Funnel Analysis

Funnels: Advanced

Group By

Filters

Conversion over Time

Conversion Order

Trends

Funnel Direction

Multi-path Funnels

Analyze as Cohort from Funnel

Save a Funnel Analysis

Explore Users from a Funnel

Export Results from a Funnel

Cohorts

Getting Started with Cohorts

Analysis Modes

Save a Cohort Analysis

Export Results

Explore Users

Saved Analyses

Manage Analyses in Dashboards

Journeys

Getting Started

Event Menu

Visualization

Ending Event

Save a Journey Analysis

Users

Getting Started

User Activity Timelines

Time Settings

Export Results

Save A User Analysis

Dashboards

Dashboards––Getting Started

Manage Dashboards

Dashboard Filters

Organize Dashboards

Scheduled Reports

Favorites

Time and Interval Settings in Dashboards

Query Notes in Dashboards

User Aliasing

Analytics Resources

The Demo Environment

Keyboard Shortcuts

Tutorials

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

Dashboard Tips and Tricks

Understand Product Stickiness

Optimize User Flow with A/B Testing

User Segments

APIs

User Segments Export API

Dashboard Filter API

IDSync

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

Data Master
Group Identity

Overview

Create and Manage Group Definitions

Introduction

Catalog

Live Stream

Data Plans

Data Plans

Blocked Data Backfill Guide

Personalization
Predictive Attributes

Predictive Attributes Overview

Create Predictive Attributes

Assess and Troubleshoot Predictions

Use Predictive Attributes in Campaigns

Predictive Audiences

Predictive Audiences Overview

Using Predictive Audiences

Introduction

Profiles

Calculated Attributes

Calculated Attributes Overview

Using Calculated Attributes

Create with AI Assistance

Calculated Attributes Reference

Audiences

Audiences Overview

Real-time Audiences

Standard Audiences

Journeys

Journeys Overview

Manage Journeys

Download an audience from a journey

Audience A/B testing from a journey

Journeys 2.0

Warehouse Sync

Data Privacy Controls

Data Subject Requests

Default Service Limits

Feeds

Cross-Account Audience Sharing

Approved Sub-Processors

Import Data with CSV Files

Import Data with CSV Files

CSV File Reference

Glossary

Video Index

Analytics (Deprecated)
Identity Providers

Single Sign-On (SSO)

Setup Examples

Settings

Debug Console

Data Warehouse Delay Alerting

Introduction

Developer Docs

Introduction

Integrations

Introduction

Rudderstack

Google Tag Manager

Segment

Data Warehouses and Data Lakes

Advanced Data Warehouse Settings

AWS Kinesis (Snowplow)

AWS Redshift (Define Your Own Schema)

AWS S3 Integration (Define Your Own Schema)

AWS S3 (Snowplow 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)

APIs

Dashboard Filter API (Deprecated)

REST API

User Segments Export API (Deprecated)

SDKs

SDKs Introduction

React Native

iOS

Android

Java

JavaScript

Python

Object API

Developer Basics

Aliasing

Warehouse Sync SQL Reference

A SQL query can be provided as part of the Data Model request body with type set to sql. mParticle passes your SQL query to your warehouse, so be sure to use valid syntax for your warehouse. For example, each warehouse has slightly different ways to utilize SQL functions with different parameters.

Data Models and SQL Queries

The data in your warehouse is mapped to the user profile in mParticle according to the column names in the SQL you provide in the data model request following these rules:

  • The provided SQL query supports being wrapped in an outer SELECT statement
  • Column name casing follows the default identifier naming conventions for your specific warehouse, wrap column names in "" or [] to preserve casing.

Supported SQL commands

The following SQL commands are fully supported:

  • SELECT
  • DISTINCT
  • FROM
  • ORDER BY
  • GROUP BY
  • WHERE
  • JOIN
  • AS
  • ON
  • IN

The following SQL commands are not supported:

  • DELETE
  • UPDATE
  • DROP
  • CREATE
  • ALTER
  • WITH

Default mapping for user attribute pipelines

User attribute pipelines can be created without field transformations to allow for simpler mappings based on column names in your SQL query.

Reserved mParticle user or device identity column name

For a row to be associated to a profile, the following reserved column names are mapped to the mParticle User Identities or Device Identities. Additional columns are mapped as custom user attributes.

The following column names in your warehouse (case-insensitive) will be mapped to mParticle user identities automatically:

  • mpid
  • customerid,customer_id
  • facebook
  • twitter
  • google
  • microsoft
  • yahoo
  • email
  • facebook_custom_audience_id
  • other
  • other_id_2
  • other_id_3
  • other_id_4
  • other_id_5
  • other_id_6
  • other_id_7
  • other_id_8
  • other_id_9
  • other_id_10
  • mobile_number
  • phone_number_2
  • phone_number_3

The following column names in your warehouse (case-insensitive) will be mapped to mParticle device identities automatically:

  • android_uuid
  • ios_advertising_id
  • push_token
  • ios_idfv
  • android_advertising_id
  • amp_id
  • roku_advertising_id
  • roku_publisher_id
  • microsoft_advertising_id
  • microsoft_publisher_id
  • fire_advertising_id
  • mp_deviceid

Example SQL Queries

Example 1: Import user’s propensity with a list of their favorite categories from your warehouse

mParticle’s demo database has a few user attributes and alongside a prediction for the likelihood they may purchase. The following query will import this alongside their favorite categories as a simple list and apply it to the corresponding Profile according to their customer_id.

SELECT
    a.date_updated,
    a.customer_id,
    a.firstname AS "$firstname",
    c.propensity_to_buy AS "propensity_to_buy",
    ARRAY_AGG(f.value) WITHIN GROUP (ORDER BY f.value ASC) AS "favorite_categories"
FROM mp.demo.attr a
JOIN mp.demo.calc c ON a.customer_id = c.customer_id
JOIN mp.demo.favs f ON a.customer_id = f.customer_id
GROUP BY 
    a.date_updated,
    a.customer_id,
    a.firstname,
    c.propensity_to_buy

Example 2: Import detail’s about a customer’s service tickets

mParticle’s demo ticket database contains details about the number of requests a user has made. The following query will import the number of open tickets to that user’s Profile according to their e-mail address.

SELECT
    u.email AS email,
    COUNT(t.id) AS "count_of_open_tickets"
FROM mp.demo_service.tickets t
JOIN mp.demo_service.users u
ON u.id = t.requester_user_id
WHERE t.status = 'open'

Troubleshooting SQL Queries

mParticle materializes your query by wrapping it in an outer SELECT statement to build more complex statements to execute against your data warehouse. These are the queries you will see looking at the history/audit logs in your data warehouse. For example, assume that a data model has the following query:

SELECT 
    a.scanned_timestamp_ms,
    c.propensity_to_buy
FROM demodw.demo.mp_dw_demo_attr a
JOIN demodw.demo.mp_dw_demo_calc c ON a.customer_id = c.customer_id

The query will be wrapped into (but not limited to) queries such as:

Query the number of rows in your provided data model. The values in the filter predicate are available as data_interval_start and data_interval_end in the pipeline run status API:

SELECT COUNT(*)
FROM
(
SELECT a.scanned_timestamp_ms, c.propensity_to_buy
FROM demodw.demo.mp_dw_demo_attr a
JOIN demodw.demo.mp_dw_demo_calc c ON a.customer_id = c.customer_id
)
WHERE SCANNED_TIMESTAMP_MS BETWEEN '2023-03-01 14:28:55+0000' AND '2023-03-01 14:41:17+0000'

Query the number of columns in your provided data model:

SELECT *
FROM
(
SELECT a.scanned_timestamp_ms, c.propensity_to_buy
FROM demodw.demo.mp_dw_demo_attr a
JOIN demodw.demo.mp_dw_demo_calc c ON a.customer_id = c.customer_id
)
LIMIT 0

Query generated from a scheduled sync run. The values in the filter predicate are available as data_interval_start and data_interval_end in the pipeline run status API.

SELECT OBJECT_CONSTRUCT_KEEP_NULL(*) 
FROM
(
SELECT a.scanned_timestamp_ms, c.propensity_to_buy
FROM demodw.demo.mp_dw_demo_attr a
JOIN demodw.demo.mp_dw_demo_calc c ON a.customer_id = c.customer_id
)
WHERE SCANNED_TIMESTAMP_MS BETWEEN '2023-03-01 14:28:55+0000' AND '2023-03-01 14:41:17+0000'

Was this page helpful?

    Last Updated: November 20, 2024