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Getting Started
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Alexa
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
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
Node SDK
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Segment-to-mParticle Migration Reference
Rules Developer Guide
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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
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Apply All for Filter Where Clauses
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Introduction
Introduction
Introduction
Rudderstack
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AWS Kinesis (Snowplow)
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Snowflake (Define Your Own Schema)
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Event
Event
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Feed
Event
Audience
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Audience
Audience
Audience
Event
Event
Feed
Event
Audience
Event
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Event
Event
Event
Audience
Event
Event
Event
Event
Event
Event
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Event
Event
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Event
Event
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Event
Event
Event
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Event
Event
Event
Event
Event
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Audience
Event
Audience
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Event
Audience
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Event
Event
Event
Event
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Event
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Event
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Event
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Event
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Event
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Event
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Audience
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Audience
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Audience
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Event
Audience
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Event
Event
Event
Event
Audience
Cookie Sync
Cookie Sync
Audience
Audience
Feed
Kafka is used for building real-time data pipelines and streaming apps. It is horizontally scalable, fault-tolerant, wicked fast, and runs in production in thousands of companies.
To enable the Kafka integration, you will need a list of comma-separated bootstrap servers that identify an initial subset of servers, “brokers,” in the Kafka cluster. You will also need to provide the name of the Kafka topic stream to publish to.
Each broker is a host and port pair, separated by a colon:
localhost:9092
localhost:9092,anotherhost:9092
mParticle will pick the first available broker from the list and use that broker to discover the full set of brokers in the cluster. Because membership in a cluster dynamically changes and can be quite large, it is not necessary to specify all of the brokers. Forwarding will make use of all brokers regardless of which brokers were initially specified.
The cluster of brokers is managed by an additional Zookeeper server that handles membership changes and leader election processes.
mParticle will only transmit data to a Kafka cluster encrypted over TLS. This integration supports 2 types of authentication methods. All of them require the following Configuration Settings as a base configuration:
Apache Kafka Bootstrap Servers
Topic Name
Reference the Kafka documentation for more information about configuring your streams on your Kafka cluster.
For production environments we only support SASL using SASL_SSL
security protocol. This method uses a User Name
and a Password
in order to authenticate against a Kafka cluster. The followings Configuration Settings are required in order to use this authentication method:
Authentication Mechanism
User Name
Password
Supported SASL-enabled mechanism for authentication:
Below is a configuration example using SASL_SSL
security protocol and PLAIN
SASL mechanism for authentication. The configuration settings are contained within the .properties
file for your broker:
ssl.client.auth=none
sasl.enabled.mechanisms=PLAIN
security.inter.broker.protocol=SASL_SSL
# The following settings are needed to allow mParticle to verify your certificate
ssl.keystore.location=your-keystore-location
ssl.keystore.password=your-keystore-password
ssl.keystore.type=JKS
ssl.key.password=your-key-password
# Replace with your specific host name and port
listeners=SASL_SSL://your-host.name:port
java.security.auth.login.config=/path/to/jaas.conf
The keystore may be in PKCS12 or JKS format.
In your jaas.conf
, create a username and password for mParticle:
KafkaServer {
org.apache.kafka.common.security.plain.PlainLoginModule required
username="admin"
password="admin-secret"
user_admin="admin-secret"
user_mparticle="mparticle-secret";
};
The KafkaServer
block in jaas.conf
is in addition to another Client
block, stored within the file and containing credentials for use with the Zookeeper server that manages brokers in the cluster.
The username
and password
keys are used by the broker as login credentials for login into other brokers. Note that these should not be used as the User Name
and Password
in the Configuration Settings.
The user_xxxxxx
keys identifies valid accounts and passwords pairs for logging into the broker itself. The User Name
and Password
in the Configuration Settings must match one of the pairs with the user_
prefix. For example, a valid user in the above example is either admin
or mparticle
.
To avoid placing username and password information in configuration files, you can write a custom login module or use the SCRAM mechanisms to store credentials within the Zookeeper server.
For more information on how to set SASL in your kafka cluster, see https://kafka.apache.org/documentation/#security_sasl
To use this method just fill the Apache Kafka Bootstrap Servers
and Topic Name
base configuration settings, and leave the others empty. Brokers in the Kafka cluster must use a certificate issued by a globally trusted certificate authority and must contain a CN (common name) or SAN (subject alternative name) that matches the hostname.
If you require a more personalized approach to SSL configuration, please reach out to your customer success manager for assistance in setting up the integration.
For more information on Apache Kafka security configuration, see https://kafka.apache.org/documentation/#security.
More information about the general structure of the jaas.conf
file can be found here: https://docs.oracle.com/javase/7/docs/technotes/guides/security/jgss/tutorials/LoginConfigFile.html.
mParticle forwards the following event types to Kafka:
mParticle forwards data to Kafka as event batches in our standard outgoing JSON format.
Setting Name | Data Type | Default Value | Description |
---|---|---|---|
Apache Kafka Bootstrap Servers | string |
This is a comma-separated list of Kafka bootstrap servers. | |
Topic Name | string |
This is your Kafka topic. | |
Authentication Method | enum |
PLAIN |
SASL mechanism to use for Authentication. Supported types: PLAIN , SCRAM-SHA-256 , SCRAM-SHA-512 |
User Name | string |
User Name for your Kafka account | |
Password | string |
Password for your Kafka account |
Setting Name | Data Type | Default Value | Platform | Description |
---|---|---|---|---|
Unique ID | string |
All | An optional string identifier for your app that will be forwarded with each event batch. Standard app identifiers (Apple OS Bundle ID, Android Package Name) will be forwarded regardless of this setting. | |
Metadata Field Exclusion | Custom Field | All | A way to exclude specific fields of metadata properties (Device Name or IP Address) in the output. | |
Send Network Performance Events | bool |
True | All | If enabled, network performance events will be forwarded. |
Send as Batch | bool |
True | All | If enabled, this setting will cause your app’s events to be sent in (roughly) 10-minute batches per device. If disabled, mParticle will POST each event to you individually, as its received. This setting is ignored if “Wait for Complete Batch” is enabled. |
Include Location Information | bool |
True | All | If enabled, location data will be forwarded with event data whenever possible. |
Include Metadata | bool |
True | All | If enabled, the following metadata - application_info, device_info and source_info will be forwarded. |
Include User Attribute Change Events | bool |
False | All | If enabled, User Attribute Change Events will be forwarded. |
Include User Identity Change Events | bool |
False | All | If enabled, User Identity Change Events will be forwarded. |
Send Batches without Events | bool |
True | All | A way to send eventless batches |
Include MP DeviceId | bool |
False | All | If enabled, MP DeviceId will be forwarded with event batches. |
Include Event Batch Location | bool |
False | All | If enabled, event batch context.location data will be forwarded with event data. |