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This page refers to version 0.5.2 of the Snowplow Java Tracker and 0.1.3 of Snowplow Android Tracker.

Version 0.4

• 1. Overview
  • 1.1 Android specific
• 2. Initialization
  • 2.1 Importing the module
  • 2.2 Understanding the module structure
  • 2.3 Creating a tracker
    • 2.3.1 emitter
    • 2.3.2 subject
    • 2.3.3 namespace
    • 2.3.4 appId
    • 2.3.5 base64Encoded
• 3. Adding extra data: the Subject class
  • 3.1 setPlatform
  • 3.2 setUserId
  • 3.3 setScreenResolution
  • 3.4 setViewport
  • 3.5 setColorDepth
  • 3.6 setTimezone
  • 3.7 setLanguage
• 4. Tracking specific events
  • 4.1 Common
    • 4.1.1 Custom contexts
    • 4.1.2 Optional timestamp argument
    • 4.1.3 Tracker method return values
  • 4.2 trackScreenView()
  • 4.3 trackPageView()
  • 4.4 trackEcommerceTransaction()
    • 4.4.1 TransactionItem
  • 4.5 trackStructuredEvent()
  • 4.6 trackUnstructuredEvent()
• 5 Sending event: Emitter
  • 5.1 Using a buffer
  • 5.2 Choosing the HTTP method
  • 5.3 Method of sending HTTP requests
  • 5.4 Emitter callback
• 6 Payload
  • 6.1 Tracker Payload
  • 6.2 Schema Payload
• 7 Logging

The Snowplow Java Tracker allows you to track Snowplow events from your Java-based desktop and server apps, servlets and games. It supports JDK6+.

The Snowplow Android Tracker allows you to track Snowplow events from your Android applications and games. It supports applications using the Android SDK 11 and above.

The tracker should be straightforward to use if you are comfortable with Java development; its API is modelled after Snowplow's Python Tracker so any prior experience with that tracker is helpful but not necessary. If you haven't already, have a look at the Java Tracker Setup or Android Tracker Setup guide before continuing.

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The Android Tracker is based off of the Java Tracker core library which is the same library used by the Java Tracker. Hence, they both very similar in features and with a few differences in them. For sections of this documentation which only apply to Android, we will flag with a sub-section, Android Only.

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Assuming you have completed the Android Tracker Setup or Java Tracker Setup for your project, you are now ready to initialize the Android/Java Tracker.

Import the Java Tracker's classes into your Java code like so:

import com.snowplowanalytics.snowplow.tracker.*;

That's it - you are now ready to initialize a Tracker instance.

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As we've mentioned in the setup guides, the Android and Java Tracker are based off a Java core library. This means that you'll find a set the core libraries in com.snowplowanalytics.snowplow.tracker.core.*. For example, if you're using the Android Tracker you would use the classes in com.snowplowanalytics.snowplow.tracker.android.*, since it would contain class overrides specific to Android. If the class doesn't exist in that module (mostly enums), you can use the ones in the core package instead.

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To instantiate a tracker in your code (can be global or local to the process being tracked) simply instantiate the Tracker interface with one of the following:

Tracker(Emitter emitter, String namespace, String appId)
Tracker(Emitter emitter, Subject subject, String namespace, String appId)
Tracker(Emitter emitter, String namespace, String appId, boolean base64Encoded)
Tracker(Emitter emitter, Subject subject, String namespace, String appId, boolean base64Encoded)

For example:

Tracker t1 = new Tracker(emitter, user1Subject, "AF003", "cf", true);
Tracker t2 = new Tracker(emitter, "AF003", "cf");

The emitter to which the tracker will send events. See Emitters for more on emitter configuration.

The user which the Tracker will track. This should be an instance of the Subject class. You don't need to set this during Tracker construction; you can use the Tracker.setSubject method afterwards. In fact, you don't need to create a subject at all. If you don't, though, your events won't contain user-specific data such as timezone and language.

If provided, the namespace argument will be attached to every event fired by the new tracker. This allows you to later identify which tracker fired which event if you have multiple trackers running.

The appId argument lets you set the application ID to any string.

By default, unstructured events and custom contexts are encoded into Base64 to ensure that no data is lost or corrupted. You can turn encoding on or off using the Boolean base64Encoded argument.

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You may have additional information about your application's environment, current user and so on, which you want to send to Snowplow with each event.

The Subject class has a set of set...() methods to attach extra data relating to the user to all tracked events:

• setPlatform
• setUserId
• setScreenResolution
• setViewport
• setColorDepth
• setTimezone
• setLanguage

Here are some examples:

s1.setUserID("Kevin Gleason");
s1.setLanguage("en-gb");
s1.setPlatform("cnsl");
s1.setScreenResolution(1920, 1080);

After that, you can add your Subject to your Tracker like so:

Tracker(emitter, s1, namespace, appId);
// OR
t1.setSubject(s1);

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You can change the platform the subject is using by calling:

s1.setPlatform("cnsl");

For a full list of supported platforms, please see the Snowplow Tracker Protocol.

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You can set the user ID to any string:

s1.setUserId( "{{USER ID}}" )

Example:

s1.setUserId("alexd")

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If your Java code has access to the device's screen resolution, then you can pass this in to Snowplow too:

t1.setScreenResolution( {{WIDTH}}, {{HEIGHT}} )

Both numbers should be positive integers; note the order is width followed by height. Example:

t1.setScreenResolution(1366, 768)

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If your Java code has access to the viewport dimensions, then you can pass this in to Snowplow too:

s.setViewport( {{WIDTH}}, {{HEIGHT}} )

Both numbers should be positive integers; note the order is width followed by height. Example:

s.setViewport(300, 200)

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If your Java code has access to the bit depth of the device's color palette for displaying images, then you can pass this in to Snowplow too:

s.setColorDepth( {{BITS PER PIXEL}} )

The number should be a positive integer, in bits per pixel. Example:

s.setColorDepth(32)

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This method lets you pass a user's timezone in to Snowplow:

s.setTimezone( {{TIMEZONE}} )

The timezone should be a string:

s.setTimezone("Europe/London")

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This method lets you pass a user's language in to Snowplow:

s.setLanguage( {{LANGUAGE}} )

The language should be a string:

s.setLanguage('en')

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Snowplow has been built to enable you to track a wide range of events that occur when users interact with your websites and apps. We are constantly growing the range of functions available in order to capture that data more richly.

Tracking methods supported by the Java Tracker at a glance:

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All events are tracked with specific methods on the tracker instance, of the form trackXXX(), where XXX is the name of the event to track.

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In short, custom contexts let you add additional information about the circumstances surrounding an event in the form of a Map object. Each tracking method accepts an additional optional contexts parameter after all the parameters specific to that method:

t1.trackPageView(String pageUrl, String pageTitle, String referrer);
t1.trackPageView(String pageUrl, String pageTitle, String referrer, List<SchemaPayload> context);
t1.trackPageView(String pageUrl, String pageTitle, String referrer, double timestamp);
t1.trackPageView(String pageUrl, String pageTitle, String referrer, List<SchemaPayload> context, double timestamp);

The context argument should consist of a List of SchemaPayload representing an array of one or more contexts. The format of each individual context element is the same as for an unstructured event.

If a visitor arrives on a page advertising a movie, the context dictionary might look like this:

{
  "schema": "iglu:com.acme_company/movie_poster/jsonschema/2.1.1",
  "data": {
    "movie_name": "Solaris",
    "poster_country": "JP",
    "poster_year": "1978"
  }
}

Note that even if there is only one custom context attached to the event, it still needs to be placed in an array.

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In all the trackers, we offer a way to set the timestamp if you want the event to show as tracked at a specific time. If you don't, we create a timestamp while the event is being tracked.

Here is an example:

t1.trackPageView("www.page.com", "Example Page", "www.referrer.com");
t1.trackPageView("www.page.com", "Example Page", "www.referrer.com", contextArray);
t1.trackPageView("www.page.com", "Example Page", "www.referrer.com", contextArray, 12348567890);
t1.trackPageView("www.page.com", "Example Page", "www.referrer.com", 12348567890);

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To be confirmed. As of now, trackers do not return anything.

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Use trackScreenView() to track a user viewing a screen (or equivalent) within your app. Arguments are:

Example:

t1.trackScreenView("HUD > Save Game", "screen23");
t1.trackScreenView("HUD > Save Game", contextList, 123456);

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If you are using Java servlet technology or similar to serve webpages to a browser, you can use trackPageView() to track a user viewing a page within your app.

Arguments are:

Example:

t1.trackPageView("www.example.com", "example", "www.referrer.com", contextList);
t1.trackPageView("www.example.com", "example", "www.referrer.com");

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Use trackEcommerceTransaction() to track an ecommerce transaction.

Arguments:

The items argument is a List of individual TransactionItem elements representing the items in the e-commerce transaction. Note that trackEcommerceTransaction fires multiple events: one transaction event for the transaction as a whole, and one transaction item event for each element of the items List. Each transaction item event will have the same timestamp, order_id, and currency as the main transaction event.

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To instantiate a TransactionItem in your code, simply use the following constructor signature:

trackEcommerceTransactionItem(String order_id, String sku, Double price, Integer quantity, String name, String category, String currency, Map context, long transaction_id)

These are the fields that can appear as elements in each TransactionItem element of the transaction item List:

Example of tracking a transaction containing two items:

// Example to come, in the meantime here is the type signature:
t1.trackEcommerceTransaction(String order_id, Double total_value, String affiliation, Double tax_value,Double shipping, String city, String state, String country, String currency, List<TransactionItem> items, Map<SchemaPayload> context);
t1.trackEcommerceTransaction("6a8078be", 300, "my_affiliate", 30, 10, "Boston", "Massachusetts", "USA", "USD", items, context);

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Use trackStructuredEvent() to track a custom event happening in your app which fits the Google Analytics-style structure of having up to five fields (with only the first two required):

Example:

t1.trackStructuredEvent("shop", "add-to-basket", "Add To Basket", "pcs", 2);
t1.trackStructuredEvent("shop", "add-to-basket", "Add To Basket", "pcs", 2, 123456.7);

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Custom unstructured events are a flexible tool that enable Snowplow users to define their own event types and send them into Snowplow.

When a user sends in a custom unstructured event, they do so as a JSON of name-value properties, that conforms to a JSON schema defined for the event earlier.

Use trackUnstructuredEvent() to track a custom event which consists of a name and an unstructured set of properties. This is useful when:

• You want to track event types which are proprietary/specific to your business (i.e. not already part of Snowplow), or
• You want to track events which have unpredictable or frequently changing properties

The arguments are as follows:

Example:

t1.trackUnstructuredEvent(String eventVendor, String eventName, String eventData, String context);

If you supply a Map<String, Object>, make sure that this top-level contains your schema and data keys, and then store your data properties as a child Map<String, Object>.

Example:

t1.trackUnstructuredEvent(String eventVendor, String eventName, Map<String, Object> eventData, String context);

For more on JSON schema, see the blog post.

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Events are sent using an Emitter class. You can initialize an class with a collector endpoint URL with various options to choose how these events should be sent. Here are the Emitter interfaces that can be used:

Emitter(String URI)
Emitter(String URI, HttpMethod httpMethod)
Emitter(String URI, RequestCallback callback)
Emitter(String URI, HttpMethod httpMethod, RequestCallback callback)

For example:

Emitter e1 = new Emitter("d3rkrsqld9gmqf.cloudfront.net");
Emitter e2 = new Emitter("d3rkrsqld9gmqf.cloudfront.net", HttpMethod.POST);
Emitter e3 = new Emitter("d3rkrsqld9gmqf.cloudfront.net", new RequestCallback() {...});
Emitter e4 = new Emitter("d3rkrsqld9gmqf.cloudfront.net", HttpMethod.POST, new RequestCallback() {...});

For Android, the Emitter class is virtually the same in the way it is instantiated with the addition of an extra parameter to accept a Context. The Context is used for caching events in an SQLite database in order to avoid losing events to network related issues.

Here are what the Emitter interfaces for Android looks like:

Emitter(String URI, Context context)
Emitter(String URI, Context context, HttpMethod httpMethod)
Emitter(String URI, Context context, RequestCallback callback)
Emitter(String URI, HttpMethod httpMethod, RequestCallback callback, Context context)

For example, if you're creating an Emitter in an Activity class:

Emitter e1 = new Emitter("snowplow-collector.acme.com", this);
Emitter e2 = new Emitter("snowplow-collector.acme.com", this, HttpMethod.POST);
Emitter e3 = new Emitter("snowplow-collector.acme.com", this, new RequestCallback() {...});
Emitter e4 = new Emitter("snowplow-collector.acme.com", this, HttpMethod.POST, new RequestCallback() {...});

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A buffer is used to group events together in bulk before sending them. This is especially handy to reduce network usage. By default, the Emitter buffers up to 10 events before sending them. You can change this to send evenets instantly as soon as they are created like so:

Emitter e1 = new Emitter("d3rkrsqld9gmqf.cloudfront.net");
e1.setBufferOption(BufferOption.Instant);
// OR
e1.setBufferOption(BufferOption.Default);

Here are all the posibile options that you can use:

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Snowplow supports receiving events via GET requests, but will soon have POST support. In a GET request, each event is sent in individual request. With POST requests, events are bundled together in one request.

You can set the HTTP method in the Emitter constructor:

Emitter e1 = new Emitter("d3rkrsqld9gmqf.cloudfront.net", HttpMethod.POST);

Here are all the posibile options that you can use:

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An Emitter sends requests synchronously by default. If you want events to be sent asynchronously you can set this using setRequestMethod(RequestMethod):

Emitter e1 = new Emitter("d3rkrsqld9gmqf.cloudfront.net");
e1.setRequestMethod(RequestMethod.Asynchronous);

Here are all the possible options that you can use:

For Android, we only send events asynchronously so we've deprecated the setRequestMethod method.

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If an event fails to send because of a network issue, you can choose to handle the failure case with a callback class to react accordingly. The callback class needs to implement the EmitterCallback interface in order to do so. Here is a sample bit of code to show how it could work:

Emitter emitter = new Emitter(testURL, HttpMethod.GET, new RequestCallback() {
  @Override
  public void onSuccess(int bufferLength) {
    System.out.println("Buffer length for POST/GET:" + bufferLength);
  }

  @Override
  public void onFailure(int successCount, List<Payload> failedEvent) {
    System.out.println("Failure, successCount: " + successCount + "\nfailedEvent:\n" + failedEvent.toString());
  }
});

In the example, we we can see an in-line example of handling the case. If events are all successfully sent, the onSuccess method returns the number of successful events sent. If there were any failures, the onFailure method returns the successful events sent (if any) and a list of events that failed to be sent (i.e. the HTTP state code did not return 200).

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A Payload interface is used for implementing a TrackerPayload and SchemaPayload, but accordingly, can be used to implement your own Payload class if you choose.

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A TrackerPayload is used internally within the Java Tracker to create the tracking event payloads that are passed to an Emitter to be sent accordingly.

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A SchemaPayload is used primarily as a wrapper around a TrackerPayload. After creating a TrackerPayload, you create a SchemaPayload and use setData with the Payload, followed by, setSchema to set the schema that the payload will be used against.

This is mainly used under the hood, in the Tracker class but is useful to know if you want to create your own Tracker class.

Here's a short example:

// This is our TrackerPayload that we created
TrackerPayload trackerPayload = new TrackerPayload();
trackerPayload.add("key", "value");

// We wrap that payload in a SchemaPayload before sending it.
SchemaPayload schemaPayload = new SchemaPayload();
schemaPayload.setData(trackerPayload);
schemaPayload.setSchema("iglu:com.snowplowanalytics.snowplow/example/jsonschema/1-0-0");

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Logging in the Tracker is done using SLF4J. Majority of the logging set as DEBUG so will not overly populate your own logging.

Logging in the Android Tracker uses Android's native logger set as DEBUG or ERROR with the [tag](https://developer.android.com/reference/android/util/Log.html#d(java.lang.String, java.lang.String)) as the class name.

For example:

private final String TAG = Emitter.class.getName();
Log.e(TAG, "Cannot change RequestMethod: Asynchronous requests only available.");

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