c

ai.chronon.api

StagingQuery

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

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.

Annotations
@SuppressWarnings() @Generated()
Linear Supertypes
Cloneable, TBase[StagingQuery, _Fields], Serializable, TSerializable, Comparable[StagingQuery], AnyRef, Any
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Inherited
  1. StagingQuery
  2. Cloneable
  3. TBase
  4. Serializable
  5. TSerializable
  6. Comparable
  7. AnyRef
  8. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new StagingQuery(other: StagingQuery)

    Performs a deep copy on other.

  2. new StagingQuery()

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. def addToSetups(elem: String): Unit
  5. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  6. def clear(): Unit
    Definition Classes
    StagingQuery → TBase
    Annotations
    @Override()
  7. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  8. def compareTo(other: StagingQuery): Int
    Definition Classes
    StagingQuery → Comparable
    Annotations
    @Override()
  9. def deepCopy(): StagingQuery
    Definition Classes
    StagingQuery → TBase
  10. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  11. def equals(that: StagingQuery): Boolean
  12. def equals(that: Any): Boolean
    Definition Classes
    StagingQuery → AnyRef → Any
    Annotations
    @Override()
  13. def fieldForId(fieldId: Int): _Fields
    Definition Classes
    StagingQuery → TBase
    Annotations
    @Nullable()
  14. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  15. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  16. def getFieldValue(field: _Fields): AnyRef
    Definition Classes
    StagingQuery → TBase
    Annotations
    @Nullable()
  17. def getMetaData(): MetaData

    Contains name, team, output_namespace, execution parameters etc.

    Contains name, team, output_namespace, execution parameters etc. Things that don't change the semantics of the computation itself.

    Annotations
    @Nullable()
  18. def getQuery(): String

    Arbitrary spark query that should be written with {{ start_date }}, {{ end_date }} and {{ latest_date }} templates

    Arbitrary spark query that should be written with {{ start_date }}, {{ end_date }} and {{ latest_date }} templates

    • {{ start_date }} will be set to this user provided start date, future incremental runs will set it to the latest existing partition + 1 day.
    • {{ end_date }} is the end partition of the computing range.
    • {{ latest_date }} is the end partition independent of the computing range (meant for cumulative sources).
    Annotations
    @Nullable()
  19. def getSetups(): List[String]

    Spark SQL setup statements.

    Spark SQL setup statements. Used typically to register UDFs.

    Annotations
    @Nullable()
  20. def getSetupsIterator(): Iterator[String]
    Annotations
    @Nullable()
  21. def getSetupsSize(): Int
  22. def getStartPartition(): String

    on the first run, {{ start_date }} will be set to this user provided start date, future incremental runs will set it to the latest existing partition + 1 day.

    on the first run, {{ start_date }} will be set to this user provided start date, future incremental runs will set it to the latest existing partition + 1 day.

    Annotations
    @Nullable()
  23. def hashCode(): Int
    Definition Classes
    StagingQuery → AnyRef → Any
    Annotations
    @Override()
  24. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  25. def isSet(field: _Fields): Boolean

    Returns true if field corresponding to fieldID is set (has been assigned a value) and false otherwise

    Returns true if field corresponding to fieldID is set (has been assigned a value) and false otherwise

    Definition Classes
    StagingQuery → TBase
  26. def isSetMetaData(): Boolean

    Returns true if field metaData is set (has been assigned a value) and false otherwise

  27. def isSetQuery(): Boolean

    Returns true if field query is set (has been assigned a value) and false otherwise

  28. def isSetSetups(): Boolean

    Returns true if field setups is set (has been assigned a value) and false otherwise

  29. def isSetStartPartition(): Boolean

    Returns true if field startPartition is set (has been assigned a value) and false otherwise

  30. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  31. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  32. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  33. def read(iprot: TProtocol): Unit
    Definition Classes
    StagingQuery → TSerializable
  34. def setFieldValue(field: _Fields, value: Any): Unit
    Definition Classes
    StagingQuery → TBase
  35. def setMetaData(metaData: MetaData): StagingQuery

    Contains name, team, output_namespace, execution parameters etc.

    Contains name, team, output_namespace, execution parameters etc. Things that don't change the semantics of the computation itself.

  36. def setMetaDataIsSet(value: Boolean): Unit
  37. def setQuery(query: String): StagingQuery

    Arbitrary spark query that should be written with {{ start_date }}, {{ end_date }} and {{ latest_date }} templates

    Arbitrary spark query that should be written with {{ start_date }}, {{ end_date }} and {{ latest_date }} templates

    • {{ start_date }} will be set to this user provided start date, future incremental runs will set it to the latest existing partition + 1 day.
    • {{ end_date }} is the end partition of the computing range.
    • {{ latest_date }} is the end partition independent of the computing range (meant for cumulative sources).
  38. def setQueryIsSet(value: Boolean): Unit
  39. def setSetups(setups: List[String]): StagingQuery

    Spark SQL setup statements.

    Spark SQL setup statements. Used typically to register UDFs.

  40. def setSetupsIsSet(value: Boolean): Unit
  41. def setStartPartition(startPartition: String): StagingQuery

    on the first run, {{ start_date }} will be set to this user provided start date, future incremental runs will set it to the latest existing partition + 1 day.

  42. def setStartPartitionIsSet(value: Boolean): Unit
  43. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  44. def toString(): String
    Definition Classes
    StagingQuery → AnyRef → Any
    Annotations
    @Override()
  45. def unsetMetaData(): Unit
  46. def unsetQuery(): Unit
  47. def unsetSetups(): Unit
  48. def unsetStartPartition(): Unit
  49. def validate(): Unit
  50. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  51. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  52. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  53. def write(oprot: TProtocol): Unit
    Definition Classes
    StagingQuery → TSerializable

Inherited from Cloneable

Inherited from TBase[StagingQuery, _Fields]

Inherited from Serializable

Inherited from TSerializable

Inherited from Comparable[StagingQuery]

Inherited from AnyRef

Inherited from Any

Ungrouped