Class/Object

org.apache.spark.ml.feature

SQLTransformer

Related Docs: object SQLTransformer | package feature

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class SQLTransformer extends Transformer with DefaultParamsWritable

Implements the transformations which are defined by SQL statement. Currently we only support SQL syntax like 'SELECT ... FROM THIS ...' where 'THIS' represents the underlying table of the input dataset. The select clause specifies the fields, constants, and expressions to display in the output, it can be any select clause that Spark SQL supports. Users can also use Spark SQL built-in function and UDFs to operate on these selected columns. For example, SQLTransformer supports statements like:

SELECT a, a + b AS a_b FROM __THIS__
SELECT a, SQRT(b) AS b_sqrt FROM __THIS__ where a > 5
SELECT a, b, SUM(c) AS c_sum FROM __THIS__ GROUP BY a, b
Annotations
@Since( "1.6.0" )
Source
SQLTransformer.scala
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Inherited
  1. SQLTransformer
  2. DefaultParamsWritable
  3. MLWritable
  4. Transformer
  5. PipelineStage
  6. Logging
  7. Params
  8. Serializable
  9. Serializable
  10. Identifiable
  11. AnyRef
  12. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new SQLTransformer()

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    Annotations
    @Since( "1.6.0" )
  2. new SQLTransformer(uid: String)

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    @Since( "1.6.0" )

Value Members

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

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  2. final def ##(): Int

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  3. final def $[T](param: Param[T]): T

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    An alias for getOrDefault().

    An alias for getOrDefault().

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    protected
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  4. final def ==(arg0: Any): Boolean

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  5. final def asInstanceOf[T0]: T0

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    Any
  6. final def clear(param: Param[_]): SQLTransformer.this.type

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    Clears the user-supplied value for the input param.

    Clears the user-supplied value for the input param.

    Definition Classes
    Params
  7. def clone(): AnyRef

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    protected[java.lang]
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    @throws( ... )
  8. def copy(extra: ParamMap): SQLTransformer

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    Creates a copy of this instance with the same UID and some extra params.

    Creates a copy of this instance with the same UID and some extra params. Subclasses should implement this method and set the return type properly. See defaultCopy().

    Definition Classes
    SQLTransformerTransformerPipelineStageParams
    Annotations
    @Since( "1.6.0" )
  9. def copyValues[T <: Params](to: T, extra: ParamMap = ParamMap.empty): T

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    Copies param values from this instance to another instance for params shared by them.

    Copies param values from this instance to another instance for params shared by them.

    This handles default Params and explicitly set Params separately. Default Params are copied from and to defaultParamMap, and explicitly set Params are copied from and to paramMap. Warning: This implicitly assumes that this Params instance and the target instance share the same set of default Params.

    to

    the target instance, which should work with the same set of default Params as this source instance

    extra

    extra params to be copied to the target's paramMap

    returns

    the target instance with param values copied

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    protected
    Definition Classes
    Params
  10. final def defaultCopy[T <: Params](extra: ParamMap): T

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    Default implementation of copy with extra params.

    Default implementation of copy with extra params. It tries to create a new instance with the same UID. Then it copies the embedded and extra parameters over and returns the new instance.

    Attributes
    protected
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    Params
  11. final def eq(arg0: AnyRef): Boolean

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  12. def equals(arg0: Any): Boolean

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  13. def explainParam(param: Param[_]): String

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    Explains a param.

    Explains a param.

    param

    input param, must belong to this instance.

    returns

    a string that contains the input param name, doc, and optionally its default value and the user-supplied value

    Definition Classes
    Params
  14. def explainParams(): String

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    Explains all params of this instance.

    Explains all params of this instance. See explainParam().

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    Params
  15. final def extractParamMap(): ParamMap

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    extractParamMap with no extra values.

    extractParamMap with no extra values.

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    Params
  16. final def extractParamMap(extra: ParamMap): ParamMap

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    Extracts the embedded default param values and user-supplied values, and then merges them with extra values from input into a flat param map, where the latter value is used if there exist conflicts, i.e., with ordering: default param values less than user-supplied values less than extra.

    Extracts the embedded default param values and user-supplied values, and then merges them with extra values from input into a flat param map, where the latter value is used if there exist conflicts, i.e., with ordering: default param values less than user-supplied values less than extra.

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  17. def finalize(): Unit

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    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )
  18. final def get[T](param: Param[T]): Option[T]

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    Optionally returns the user-supplied value of a param.

    Optionally returns the user-supplied value of a param.

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

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  20. final def getDefault[T](param: Param[T]): Option[T]

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    Gets the default value of a parameter.

    Gets the default value of a parameter.

    Definition Classes
    Params
  21. final def getOrDefault[T](param: Param[T]): T

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    Gets the value of a param in the embedded param map or its default value.

    Gets the value of a param in the embedded param map or its default value. Throws an exception if neither is set.

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    Params
  22. def getParam(paramName: String): Param[Any]

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    Gets a param by its name.

    Gets a param by its name.

    Definition Classes
    Params
  23. def getStatement: String

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    Annotations
    @Since( "1.6.0" )
  24. final def hasDefault[T](param: Param[T]): Boolean

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    Tests whether the input param has a default value set.

    Tests whether the input param has a default value set.

    Definition Classes
    Params
  25. def hasParam(paramName: String): Boolean

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    Tests whether this instance contains a param with a given name.

    Tests whether this instance contains a param with a given name.

    Definition Classes
    Params
  26. def hashCode(): Int

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  27. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean = false): Boolean

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    Attributes
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    Logging
  28. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Logging
  29. final def isDefined(param: Param[_]): Boolean

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    Checks whether a param is explicitly set or has a default value.

    Checks whether a param is explicitly set or has a default value.

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  30. final def isInstanceOf[T0]: Boolean

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    Any
  31. final def isSet(param: Param[_]): Boolean

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    Checks whether a param is explicitly set.

    Checks whether a param is explicitly set.

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  32. def isTraceEnabled(): Boolean

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    Logging
  33. def log: Logger

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    Logging
  34. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

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    Logging
  35. def logDebug(msg: ⇒ String): Unit

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    Logging
  36. def logError(msg: ⇒ String, throwable: Throwable): Unit

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    Logging
  37. def logError(msg: ⇒ String): Unit

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    Logging
  38. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

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  39. def logInfo(msg: ⇒ String): Unit

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    Logging
  40. def logName: String

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    Logging
  41. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

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  42. def logTrace(msg: ⇒ String): Unit

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  43. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

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    Logging
  44. def logWarning(msg: ⇒ String): Unit

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    Logging
  45. final def ne(arg0: AnyRef): Boolean

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  46. final def notify(): Unit

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  47. final def notifyAll(): Unit

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  48. lazy val params: Array[Param[_]]

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    Returns all params sorted by their names.

    Returns all params sorted by their names. The default implementation uses Java reflection to list all public methods that have no arguments and return Param.

    Definition Classes
    Params
    Note

    Developer should not use this method in constructor because we cannot guarantee that this variable gets initialized before other params.

  49. def save(path: String): Unit

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    Saves this ML instance to the input path, a shortcut of write.save(path).

    Saves this ML instance to the input path, a shortcut of write.save(path).

    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  50. final def set(paramPair: ParamPair[_]): SQLTransformer.this.type

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    Sets a parameter in the embedded param map.

    Sets a parameter in the embedded param map.

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  51. final def set(param: String, value: Any): SQLTransformer.this.type

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    Sets a parameter (by name) in the embedded param map.

    Sets a parameter (by name) in the embedded param map.

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  52. final def set[T](param: Param[T], value: T): SQLTransformer.this.type

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    Sets a parameter in the embedded param map.

    Sets a parameter in the embedded param map.

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    Params
  53. final def setDefault(paramPairs: ParamPair[_]*): SQLTransformer.this.type

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    Sets default values for a list of params.

    Sets default values for a list of params.

    Note: Java developers should use the single-parameter setDefault. Annotating this with varargs can cause compilation failures due to a Scala compiler bug. See SPARK-9268.

    paramPairs

    a list of param pairs that specify params and their default values to set respectively. Make sure that the params are initialized before this method gets called.

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  54. final def setDefault[T](param: Param[T], value: T): SQLTransformer.this.type

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    Sets a default value for a param.

    Sets a default value for a param.

    param

    param to set the default value. Make sure that this param is initialized before this method gets called.

    value

    the default value

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  55. def setStatement(value: String): SQLTransformer.this.type

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    @Since( "1.6.0" )
  56. final val statement: Param[String]

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    SQL statement parameter.

    SQL statement parameter. The statement is provided in string form.

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    @Since( "1.6.0" )
  57. final def synchronized[T0](arg0: ⇒ T0): T0

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  58. def toString(): String

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    Identifiable → AnyRef → Any
  59. def transform(dataset: Dataset[_]): DataFrame

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    Transforms the input dataset.

    Transforms the input dataset.

    Definition Classes
    SQLTransformerTransformer
    Annotations
    @Since( "2.0.0" )
  60. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame

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    Transforms the dataset with provided parameter map as additional parameters.

    Transforms the dataset with provided parameter map as additional parameters.

    dataset

    input dataset

    paramMap

    additional parameters, overwrite embedded params

    returns

    transformed dataset

    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  61. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame

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    Transforms the dataset with optional parameters

    Transforms the dataset with optional parameters

    dataset

    input dataset

    firstParamPair

    the first param pair, overwrite embedded params

    otherParamPairs

    other param pairs, overwrite embedded params

    returns

    transformed dataset

    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  62. def transformSchema(schema: StructType): StructType

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    :: DeveloperApi ::

    :: DeveloperApi ::

    Check transform validity and derive the output schema from the input schema.

    We check validity for interactions between parameters during transformSchema and raise an exception if any parameter value is invalid. Parameter value checks which do not depend on other parameters are handled by Param.validate().

    Typical implementation should first conduct verification on schema change and parameter validity, including complex parameter interaction checks.

    Definition Classes
    SQLTransformerPipelineStage
    Annotations
    @Since( "1.6.0" )
  63. def transformSchema(schema: StructType, logging: Boolean): StructType

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    :: DeveloperApi ::

    :: DeveloperApi ::

    Derives the output schema from the input schema and parameters, optionally with logging.

    This should be optimistic. If it is unclear whether the schema will be valid, then it should be assumed valid until proven otherwise.

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    @DeveloperApi()
  64. val uid: String

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    An immutable unique ID for the object and its derivatives.

    An immutable unique ID for the object and its derivatives.

    Definition Classes
    SQLTransformerIdentifiable
    Annotations
    @Since( "1.6.0" )
  65. final def wait(): Unit

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    @throws( ... )
  66. final def wait(arg0: Long, arg1: Int): Unit

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    @throws( ... )
  67. final def wait(arg0: Long): Unit

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    @throws( ... )
  68. def write: MLWriter

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    Returns an MLWriter instance for this ML instance.

    Returns an MLWriter instance for this ML instance.

    Definition Classes
    DefaultParamsWritableMLWritable

Inherited from DefaultParamsWritable

Inherited from MLWritable

Inherited from Transformer

Inherited from PipelineStage

Inherited from Logging

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

Parameters

A list of (hyper-)parameter keys this algorithm can take. Users can set and get the parameter values through setters and getters, respectively.

Members

Parameter setters

Parameter getters