io.keen.client.scala

Reader

trait Reader extends AccessLevel

A Client mixing in Reader can make Keen IO API calls requiring a read key.

A read key must be configured in the Client's Settings or the readKey field must otherwise be set e.g. with an anonymous class override.

Self Type
Reader with Client
Source
Client.scala
Example:

  1. Initializing a Client with read access

    val keen = new Client with Reader {
override val readKey = "myReadKey"
}
Exceptions thrown
MissingCredential

if a read key is not configured.

See also

https://keen.io/docs/security/

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Abstract Value Members

  1. abstract val authority: String

    Definition Classes
    AccessLevel

  2. abstract val scheme: String

    Definition Classes
    AccessLevel

  3. abstract val version: String

    Definition Classes
    AccessLevel

Concrete Value Members

  1. final def !=(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

  2. final def !=(arg0: Any): Boolean

    Definition Classes
    Any

  3. final def ##(): Int

    Definition Classes
    AnyRef → Any

  4. final def ==(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

  5. final def ==(arg0: Any): Boolean

    Definition Classes
    Any

  6. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  7. def average(collection: String, targetProperty: String, filters: Option[String] = None, timeframe: Option[String] = None, timezone: Option[String] = None, groupBy: Option[String] = None): Future[Response]

    Returns the average across all numeric values for the target property in the event collection matching the given criteria.

    Returns the average across all numeric values for the target property in the event collection matching the given criteria.

    collection

    The name of the event collection you are analyzing.

    targetProperty

    The name of the property you are analyzing.

    filters

    Filters are used to narrow down the events used in an analysis request based on event property values. See Filters.

    timeframe

    A Timeframe specifies the events to use for analysis based on a window of time. If no timeframe is specified, all events will be counted. See Timeframes.

    timezone

    Modifies the timeframe filters for Relative Timeframes to match a specific timezone.

    groupBy

    The group_by parameter specifies the name of a property by which you would like to group the results. Using this parameter changes the response format. See Group By.

    See also

    Average API Reference

  8. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  9. def count(collection: String, filters: Option[String] = None, timeframe: Option[String] = None, timezone: Option[String] = None, groupBy: Option[String] = None): Future[Response]

    Returns the number of resources in the event collection matching the given criteria.

    Returns the number of resources in the event collection matching the given criteria.

    collection

    The name of the event collection you are analyzing.

    filters

    Filters are used to narrow down the events used in an analysis request based on event property values. See Filters.

    timeframe

    A Timeframe specifies the events to use for analysis based on a window of time. If no timeframe is specified, all events will be counted. See Timeframes.

    See also

    Count API Reference

  10. def countUnique(collection: String, targetProperty: String, filters: Option[String] = None, timeframe: Option[String] = None, timezone: Option[String] = None, groupBy: Option[String] = None): Future[Response]

    Returns the number of unique resources in the event collection matching the given criteria.

    Returns the number of unique resources in the event collection matching the given criteria.

    collection

    The name of the event collection you are analyzing.

    targetProperty

    The name of the property you are analyzing.

    filters

    Filters are used to narrow down the events used in an analysis request based on event property values. See Filters.

    timeframe

    A Timeframe specifies the events to use for analysis based on a window of time. If no timeframe is specified, all events will be counted. See Timeframes.

    timezone

    Modifies the timeframe filters for Relative Timeframes to match a specific timezone.

    groupBy

    The group_by parameter specifies the name of a property by which you would like to group the results. Using this parameter changes the response format. See Group By.

    See also

    Count Unique API Reference

  11. def doRequest(path: String, method: String, key: String, body: Option[String] = None, params: Map[String, Option[String]] = Map.empty): Future[Response]

    Attributes
    protected
    Definition Classes
    AccessLevel

  12. final def eq(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

  13. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

  14. def extraction(collection: String, filters: Option[String] = None, timeframe: Option[String] = None, email: Option[String] = None, latest: Option[String] = None, propertyNames: Option[String] = None): Future[Response]

    Creates an extraction request for full-form event data with all property values.

    Creates an extraction request for full-form event data with all property values.

    If the email parameter is given, the extraction will be processed asynchronously and an email will be sent to the specified address when complete. Otherwise events are returned in a synchronous JSON response with a limit of 100,000 events.

    collection

    The name of the event collection you are analyzing.

    filters

    Filters are used to narrow down the events used in an analysis request based on event property values. See Filters.

    timeframe

    A Timeframe specifies the events to use for analysis based on a window of time. If no timeframe is specified, all events will be counted. See Timeframes.

    email

    Email address to notify when asynchronous extraction is ready for download.

    latest

    An integer containing the number of most recent events to extract.

    propertyNames

    An array of strings containing properties you wish to extract. If this parameter is omitted, all properties will be returned.

    To do

    Should accept timezone parameter: https://github.com/keenlabs/KeenClient-Scala/issues/37

    See also

    Extractions API Reference

  15. def finalize(): Unit

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

  16. final def getClass(): Class[_]

    Definition Classes
    AnyRef → Any

  17. def hashCode(): Int

    Definition Classes
    AnyRef → Any

  18. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

  19. def maximum(collection: String, targetProperty: String, filters: Option[String] = None, timeframe: Option[String] = None, timezone: Option[String] = None, groupBy: Option[String] = None): Future[Response]

    Returns the maximum numeric value for the target property in the event collection matching the given criteria.

    Returns the maximum numeric value for the target property in the event collection matching the given criteria.

    collection

    The name of the event collection you are analyzing.

    targetProperty

    The name of the property you are analyzing.

    filters

    Filters are used to narrow down the events used in an analysis request based on event property values. See Filters.

    timeframe

    A Timeframe specifies the events to use for analysis based on a window of time. If no timeframe is specified, all events will be counted. See Timeframes.

    timezone

    Modifies the timeframe filters for Relative Timeframes to match a specific timezone.

    groupBy

    The group_by parameter specifies the name of a property by which you would like to group the results. Using this parameter changes the response format. See Group By.

    See also

    Maximum API Reference

  20. def minimum(collection: String, targetProperty: String, filters: Option[String] = None, timeframe: Option[String] = None, timezone: Option[String] = None, groupBy: Option[String] = None): Future[Response]

    Returns the minimum numeric value for the target property in the event collection matching the given criteria.

    Returns the minimum numeric value for the target property in the event collection matching the given criteria.

    collection

    The name of the event collection you are analyzing.

    targetProperty

    The name of the property you are analyzing.

    filters

    Filters are used to narrow down the events used in an analysis request based on event property values. See Filters.

    timeframe

    A Timeframe specifies the events to use for analysis based on a window of time. If no timeframe is specified, all events will be counted. See Timeframes.

    timezone

    Modifies the timeframe filters for Relative Timeframes to match a specific timezone.

    groupBy

    The group_by parameter specifies the name of a property by which you would like to group the results. Using this parameter changes the response format. See Group By.

    See also

    Minimum API Reference

  21. final def ne(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

  22. final def notify(): Unit

    Definition Classes
    AnyRef

  23. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  24. val projectId: String

    Project identifier for the Keen project that an AccessLevel's API key is associated with.

    Project identifier for the Keen project that an AccessLevel's API key is associated with.

    Definition Classes
    AccessLevel

  25. val readKey: String

    A read key required to make API calls for querying and extracting data.

  26. def selectUnique(collection: String, targetProperty: String, filters: Option[String] = None, timeframe: Option[String] = None, timezone: Option[String] = None, groupBy: Option[String] = None): Future[Response]

    Returns a list of unique resources in the event collection matching the given criteria.

    Returns a list of unique resources in the event collection matching the given criteria.

    collection

    The name of the event collection you are analyzing.

    targetProperty

    The name of the property you are analyzing.

    filters

    Filters are used to narrow down the events used in an analysis request based on event property values. See Filters.

    timeframe

    A Timeframe specifies the events to use for analysis based on a window of time. If no timeframe is specified, all events will be counted. See Timeframes.

    timezone

    Modifies the timeframe filters for Relative Timeframes to match a specific timezone.

    groupBy

    The group_by parameter specifies the name of a property by which you would like to group the results. Using this parameter changes the response format. See Group By.

    See also

    Select Unique API Reference

  27. def sum(collection: String, targetProperty: String, filters: Option[String] = None, timeframe: Option[String] = None, timezone: Option[String] = None, groupBy: Option[String] = None): Future[Response]

    Returns the sum across all numeric values for the target property in the event collection matching the given criteria.

    Returns the sum across all numeric values for the target property in the event collection matching the given criteria.

    collection

    The name of the event collection you are analyzing.

    targetProperty

    The name of the property you are analyzing.

    filters

    Filters are used to narrow down the events used in an analysis request based on event property values. See Filters.

    timeframe

    A Timeframe specifies the events to use for analysis based on a window of time. If no timeframe is specified, all events will be counted. See Timeframes.

    timezone

    Modifies the timeframe filters for Relative Timeframes to match a specific timezone.

    groupBy

    The group_by parameter specifies the name of a property by which you would like to group the results. Using this parameter changes the response format. See Group By.

    See also

    Sum API Reference

  28. final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes
    AnyRef

  29. def toString(): String

    Definition Classes
    AnyRef → Any

  30. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  31. final def wait(arg0: Long, arg1: Int): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  32. final def wait(arg0: Long): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from AccessLevel

Inherited from AnyRef

Inherited from Any

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