Type Members

1.  sealed abstract final class Accuracy extends Enum[Accuracy] with TEnum

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2.  class Aggregation extends TBase[Aggregation, _Fields] with Serializable with Cloneable with Comparable[Aggregation]

   Chronon provides a powerful aggregations primitive - that takes the familiar aggregation operation, via groupBy in SQL and extends it with three things - windowing, bucketing and auto-explode.

   Chronon provides a powerful aggregations primitive - that takes the familiar aggregation operation, via groupBy in SQL and extends it with three things - windowing, bucketing and auto-explode.

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3.  class AggregationPart extends TBase[AggregationPart, _Fields] with Serializable with Cloneable with Comparable[AggregationPart]

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4.  class BootstrapPart extends TBase[BootstrapPart, _Fields] with Serializable with Cloneable with Comparable[BootstrapPart]

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5.  class DataField extends TBase[DataField, _Fields] with Serializable with Cloneable with Comparable[DataField]

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6.  sealed abstract final class DataKind extends Enum[DataKind] with TEnum

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7.  sealed trait DataType extends Serializable
8.  class Derivation extends TBase[Derivation, _Fields] with Serializable with Cloneable with Comparable[Derivation]

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9.  case class EncodeKeyException(requestName: String, message: String) extends IllegalArgumentException with Product with Serializable
10.  class EntitySource extends TBase[EntitySource, _Fields] with Serializable with Cloneable with Comparable[EntitySource]

    Entity Sources represent data that gets mutated over-time - at row-level.

    Entity Sources represent data that gets mutated over-time - at row-level. This is a group of three data elements. snapshotTable, mutationTable and mutationTopic. mutationTable and mutationTopic are only necessary if we are trying to create realtime or point-in-time aggregations over these sources. Entity sources usually map 1:1 with a database tables in your OLTP store that typically serves live application traffic. When mutation data is absent they map 1:1 to dim tables in star schema.

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11.  class EventSource extends TBase[EventSource, _Fields] with Serializable with Cloneable with Comparable[EventSource]

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12.  class ExternalPart extends TBase[ExternalPart, _Fields] with Serializable with Cloneable with Comparable[ExternalPart]

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13.  class ExternalSource extends TBase[ExternalSource, _Fields] with Serializable with Cloneable with Comparable[ExternalSource]

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14.  class FetchException extends IllegalArgumentException
15.  class GroupBy extends TBase[GroupBy, _Fields] with Serializable with Cloneable with Comparable[GroupBy]

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16.  class GroupByServingInfo extends TBase[GroupByServingInfo, _Fields] with Serializable with Cloneable with Comparable[GroupByServingInfo]

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17.  case class InvalidEntityException(requestName: String) extends FetchException with Product with Serializable
18.  class Join extends TBase[Join, _Fields] with Serializable with Cloneable with Comparable[Join]

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19.  class JoinPart extends TBase[JoinPart, _Fields] with Serializable with Cloneable with Comparable[JoinPart]

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20.  class JoinSource extends TBase[JoinSource, _Fields] with Serializable with Cloneable with Comparable[JoinSource]

    Output of a Join can be used as input to downstream computations like GroupBy or a Join.

    Output of a Join can be used as input to downstream computations like GroupBy or a Join. Below is a short description of each of the cases we handle. Case #1: a join's source is another join [TODO]

    • while serving, we expect the keys for the upstream join to be passed in the request. we will query upstream first, and use the result to query downstream
    • while backfill, we will backfill the upstream first, and use the table as the left of the subsequent join
    • this is currently a "to do" because users can achieve this by themselves unlike case 2: Case #2: a join is the source of another GroupBy
    • We will support arbitrarily long transformation chains with this.
    • for batch (Accuracy.SNAPSHOT), we simply backfill the join first and compute groupBy as usual
      • will substitute the joinSource with the resulting table and continue computation
      • we will add a "resolve source" step prior to backfills that will compute the parent join and update the source
    • for realtime (Accuracy.TEMPORAL), we need to do "stream enrichment"
      • we will simply issue "fetchJoin" and create an enriched source. Note the join left should be of type "events".

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21.  case class KeyMissingException(requestName: String, missingKeys: Seq[String], query: Map[String, Any]) extends FetchException with Product with Serializable
22.  class LabelPart extends TBase[LabelPart, _Fields] with Serializable with Cloneable with Comparable[LabelPart]

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23.  case class ListType(elementType: DataType) extends DataType with Product with Serializable
24.  case class MapType(keyType: DataType, valueType: DataType) extends DataType with Product with Serializable
25.  class MetaData extends TBase[MetaData, _Fields] with Serializable with Cloneable with Comparable[MetaData]

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26.  sealed abstract final class Operation extends Enum[Operation] with TEnum

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27.  case class ParametricMacro(value: String, func: (Map[String, String]) ⇒ String) extends Product with Serializable
28.  case class PartitionSpec(format: String, spanMillis: Long) extends Product with Serializable
29.  class Query extends TBase[Query, _Fields] with Serializable with Cloneable with Comparable[Query]

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30.  trait Row extends AnyRef
31.  class Source extends TUnion[Source, _Fields]

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32.  class StagingQuery extends TBase[StagingQuery, _Fields] with Serializable with Cloneable with Comparable[StagingQuery]

    Staging Query encapsulates arbitrary spark computation.

    Staging Query encapsulates arbitrary spark computation. One key feature is that the computation follows a "fill-what's-missing" pattern. Basically instead of explicitly specifying dates you specify two macros. {{ start_date }} and {{end_date}}. Chronon will pass in earliest-missing-partition for start_date and execution-date / today for end_date. So the query will compute multiple partitions at once.

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33.  case class StructField(name: String, fieldType: DataType) extends Product with Serializable
34.  case class StructType(name: String, fields: Array[StructField]) extends DataType with Seq[StructField] with Product with Serializable
35.  class TDataType extends TBase[TDataType, _Fields] with Serializable with Cloneable with Comparable[TDataType]

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36.  sealed abstract final class TimeUnit extends Enum[TimeUnit] with TEnum

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37.  case class UnknownType(any: Any) extends DataType with Product with Serializable
38.  class Window extends TBase[Window, _Fields] with Serializable with Cloneable with Comparable[Window]

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