libs

package libs

Linear Supertypes

FixedFileFormatImplicits, SparkFunctions, DataHelpers, Component, UDFUtils, LazyLogging, Serializable, Serializable, RestAPIUtils, ProphecyDataFrame, AnyRef, Any

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libs
FixedFileFormatImplicits
SparkFunctions
DataHelpers
Component
UDFUtils
LazyLogging
Serializable
Serializable
RestAPIUtils
ProphecyDataFrame
AnyRef
Any

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Type Members

type Aggregate = Dataset[Row]

Definition Classes
Component
class CDC extends AnyRef
class CLIConf extends ScallopConf
trait Component extends AnyRef
case class UsesDataset(id: String, version: Int = -1) extends Annotation with StaticAnnotation with Product with Serializable

Definition Classes
Component
case class UsesRuleset(id: String) extends Annotation with StaticAnnotation with Product with Serializable

Definition Classes
Component
case class Visual(id: String = "ID", label: String = "Label", x: Long = 0, y: Long = 0, phase: Int = 0, mode: String = "batch", interimMode: String = "full", detailedStats: Boolean = false) extends Annotation with StaticAnnotation with Product with Serializable

Definition Classes
Component
trait ConfigBase extends AnyRef
abstract class ConfigurationFactory[C <: ConfigBase] extends AnyRef
type CreateData = Dataset[Row]

Definition Classes
Component
type DataFrame1 = Dataset[Row]

Definition Classes
Component
type DataFrame10 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type DataFrame11 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type DataFrame12 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type DataFrame13 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type DataFrame14 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type DataFrame15 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type DataFrame16 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type DataFrame17 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type DataFrame18 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type DataFrame19 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type DataFrame2 = (DataFrame, DataFrame)

Definition Classes
Component
type DataFrame20 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type DataFrame21 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type DataFrame22 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type DataFrame3 = (DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type DataFrame4 = (DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type DataFrame5 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type DataFrame6 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type DataFrame7 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type DataFrame8 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type DataFrame9 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
trait DataHelpers extends LazyLogging
Helper Utilities for reading/writing data from/to different data sources.
type DataQualityTest = Dataset[Row]

Definition Classes
Component
type DatabaseInput = Dataset[Row]

Definition Classes
Component
type Deduplicate = Dataset[Row]

Definition Classes
Component
case class Description(comment: String) extends Annotation with StaticAnnotation with Product with Serializable
implicit class ExtendedDataFrameGlobal extends ExtendedDataFrame
implicit class ExtendedStreamingTargetGlobal extends ExtendedStreamingTarget
trait FFAST extends Positional
case class FFCompoundSchemaRow(compound: FFCompoundType, rows: Seq[FFSchemaRow]) extends FFSchemaRow with Product with Serializable
sealed trait FFCompoundType extends FFAST
case class FFConditionalSchemaRow(condition: String, schemaRow: FFSchemaRow) extends FFSchemaRow with Product with Serializable
sealed trait FFDataFormat extends FFAST
case class FFDateFormat(name: FFTypeName, format: Option[String], miscProperties: Map[String, Any] = Map()) extends FFDataFormat with Product with Serializable
case class FFDateTimeFormat(name: FFTypeName, format: Option[String], miscProperties: Map[String, Any] = Map()) extends FFDataFormat with Product with Serializable
sealed trait FFDefaultVal extends FFAST
case class FFDoubleDefaultVal(value: Double) extends FFDefaultVal with Product with Serializable
case class FFExpressionDefaultVal(value: CustomExpression) extends FFDefaultVal with Product with Serializable
case class FFIncludeFileRow(filePath: String) extends FFSchemaRow with Product with Serializable
case class FFIntDefaultVal(value: Int) extends FFDefaultVal with Product with Serializable
case class FFNoDefaultVal() extends FFDefaultVal with Product with Serializable
case class FFNullDefaultVal(value: Option[Any] = None) extends FFDefaultVal with Product with Serializable
case class FFNumberArrayFormat(name: FFTypeName, precision: Option[Int], scale: Option[Int], arraySizeInfo: Option[String], miscProperties: Map[String, Any] = ...) extends FFDataFormat with Product with Serializable
case class FFNumberFormat(name: FFTypeName, precision: Option[Int], scale: Option[Int], miscProperties: Map[String, Any] = ...) extends FFDataFormat with Product with Serializable
case class FFRecordType(startType: String) extends FFAST with Product with Serializable
case class FFSchemaRecord(recordType: String, rows: Seq[FFSchemaRow]) extends FFAST with Product with Serializable
sealed trait FFSchemaRow extends FFAST
case class FFSimpleSchemaList(rows: Seq[FFSimpleSchemaRow]) extends FFSchemaRow with Product with Serializable
case class FFSimpleSchemaRow(name: String, format: FFDataFormat, value: FFDefaultVal) extends FFSchemaRow with Product with Serializable
case class FFStringArrayFormat(name: FFTypeName, precision: Option[Int], arraySizeInfo: Option[String]) extends FFDataFormat with Product with Serializable
case class FFStringDefaultVal(value: String) extends FFDefaultVal with Product with Serializable
case class FFStringFormat(name: FFTypeName, precision: Option[Int], props: Option[Map[String, String]] = None) extends FFDataFormat with Product with Serializable
case class FFStructArrayType(name1: String, arraySizeInfo: Option[String]) extends FFCompoundType with Product with Serializable
case class FFStructFormat(name: FFTypeName, precision: Option[Int]) extends FFDataFormat with Product with Serializable
case class FFStructType(name1: String) extends FFCompoundType with Product with Serializable
case class FFTypeName(name: String, delimiter: Option[String]) extends FFAST with Product with Serializable
case class FFTypeNameWithProperties(name: String, delimiter: Option[String], miscProperties: Map[String, Any] = Map("packed" → false)) extends FFAST with Product with Serializable
case class FFUnionType(name: Option[String] = None) extends FFCompoundType with Product with Serializable
case class FFUnknownFormat(name: FFTypeName, arraySizeInfo: Option[String]) extends FFDataFormat with Product with Serializable
case class FFVoidFormat(name: FFTypeName, size: Option[Int]) extends FFDataFormat with Product with Serializable
type FileInput = Dataset[Row]

Definition Classes
Component
type FileIntermediate = Dataset[Row]

Definition Classes
Component
type FileOutput = Unit

Definition Classes
Component
type Filter = Dataset[Row]

Definition Classes
Component
class FixedFileFormat extends FileFormat with DataSourceRegister with Serializable
implicit class FixedFileFormatDataFrameGlobal extends FixedFileFormatDataFrame
trait FixedFileFormatImplicits extends AnyRef
implicit class FixedFileFormatDataFrame extends AnyRef

Definition Classes
FixedFileFormatImplicits
implicit class FixedFileFormatSpark extends AnyRef

Definition Classes
FixedFileFormatImplicits
type FixedFileOutput = Unit

Definition Classes
Component
class FixedFormatOutputWriter extends OutputWriter
type FlattenSchema = Dataset[Row]

Definition Classes
Component
type Generate = Dataset[Row]

Definition Classes
Component
type HashPartition = Dataset[Row]

Definition Classes
Component
type Join = Dataset[Row]

Definition Classes
Component
type Limit = Dataset[Row]

Definition Classes
Component
type Lookup = UserDefinedFunction

Definition Classes
Component
case class LookupDataset(datasetId: String, columnName: String) extends Annotation with StaticAnnotation with Product with Serializable
type LookupFileInput = UserDefinedFunction

Definition Classes
Component
type LookupUnit = Unit

Definition Classes
Component
trait LookupUtils extends AnyRef
class MDumpReader extends AnyRef
type MultiFileRead = Dataset[Row]

Definition Classes
Component
type MultiFileWrite = Unit

Definition Classes
Component
type MultiFileWriteUnit = Unit

Definition Classes
Component
type MultiJoin = Dataset[Row]

Definition Classes
Component
type Normalize = Dataset[Row]

Definition Classes
Component
type OrderBy = Dataset[Row]

Definition Classes
Component
type OrderByPartition = Dataset[Row]

Definition Classes
Component
type Prepare = Dataset[Row]

Definition Classes
Component
type ReadSV = Dataset[Row]

Definition Classes
Component
type Reformat = Dataset[Row]

Definition Classes
Component
type Repartition = Dataset[Row]

Definition Classes
Component
trait RestAPIUtils extends AnyRef
Spark utilities for handling rest api connections.
type RoundRobinPartition = Dataset[Row]

Definition Classes
Component
type RowDistributor = Dataset[Row]

Definition Classes
Component
type RowDistributor1 = Dataset[Row]

Definition Classes
Component
type RowDistributor10 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type RowDistributor11 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type RowDistributor12 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type RowDistributor13 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type RowDistributor14 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type RowDistributor15 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type RowDistributor16 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type RowDistributor17 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type RowDistributor18 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type RowDistributor19 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type RowDistributor2 = (DataFrame, DataFrame)

Definition Classes
Component
type RowDistributor20 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type RowDistributor21 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type RowDistributor22 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type RowDistributor3 = (DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type RowDistributor4 = (DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type RowDistributor5 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type RowDistributor6 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type RowDistributor7 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type RowDistributor8 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type RowDistributor9 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type Ruleset = Dataset[Row]

Definition Classes
Component
type SQLStatement = Dataset[Row]

Definition Classes
Component
type SQLStatement1 = Dataset[Row]

Definition Classes
Component
type SQLStatement10 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type SQLStatement11 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type SQLStatement12 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type SQLStatement13 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type SQLStatement14 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type SQLStatement15 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type SQLStatement16 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type SQLStatement17 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type SQLStatement18 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type SQLStatement19 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type SQLStatement2 = (DataFrame, DataFrame)

Definition Classes
Component
type SQLStatement20 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type SQLStatement21 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type SQLStatement22 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type SQLStatement3 = (DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type SQLStatement4 = (DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type SQLStatement5 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type SQLStatement6 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type SQLStatement7 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type SQLStatement8 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type SQLStatement9 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type SQLStatementUnit = Unit

Definition Classes
Component
type Scan = Dataset[Row]

Definition Classes
Component
type SchemaTransformer = Dataset[Row]

Definition Classes
Component
type Script = Dataset[Row]

Definition Classes
Component
type Script1 = Dataset[Row]

Definition Classes
Component
type Script10 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type Script11 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type Script12 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type Script13 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type Script14 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type Script15 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type Script16 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type Script17 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type Script18 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type Script19 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type Script2 = (DataFrame, DataFrame)

Definition Classes
Component
type Script20 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type Script21 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type Script22 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type Script3 = (DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type Script4 = (DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type Script5 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type Script6 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type Script7 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type Script8 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type Script9 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type ScriptUnit = Unit

Definition Classes
Component
type Select = Dataset[Row]

Definition Classes
Component
type Sequence = Dataset[Row]

Definition Classes
Component
type SetOperation = Dataset[Row]

Definition Classes
Component
type Source = Dataset[Row]

Definition Classes
Component
trait SparkFunctions extends AnyRef
Library of all spark functions which implements different abinitio functions used in abinitio workflows.
class StringAsStream extends Serializable

Definition Classes
SparkFunctions
type StreamingTarget = StreamingQuery

Definition Classes
Component
type SubGraph = Dataset[Row]

Definition Classes
Component
type SubGraph1 = Dataset[Row]

Definition Classes
Component
type SubGraph10 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type SubGraph11 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type SubGraph12 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type SubGraph13 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type SubGraph14 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type SubGraph15 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type SubGraph16 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type SubGraph17 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type SubGraph18 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type SubGraph19 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type SubGraph2 = (DataFrame, DataFrame)

Definition Classes
Component
type SubGraph20 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type SubGraph21 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type SubGraph22 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type SubGraph3 = (DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type SubGraph4 = (DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type SubGraph5 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type SubGraph6 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type SubGraph7 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type SubGraph8 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type SubGraph9 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type SubGraphUnit = Unit

Definition Classes
Component
type Subgraph = Dataset[Row]

Definition Classes
Component
type Subgraph1 = Dataset[Row]

Definition Classes
Component
type Subgraph10 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type Subgraph11 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type Subgraph12 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type Subgraph13 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type Subgraph14 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type Subgraph15 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type Subgraph16 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type Subgraph17 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type Subgraph18 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type Subgraph19 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type Subgraph2 = (DataFrame, DataFrame)

Definition Classes
Component
type Subgraph20 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type Subgraph21 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type Subgraph22 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type Subgraph3 = (DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type Subgraph4 = (DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type Subgraph5 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type Subgraph6 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type Subgraph7 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type Subgraph8 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type Subgraph9 = (DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame, DataFrame)

Definition Classes
Component
type SubgraphUnit = Unit

Definition Classes
Component
type Target = Unit

Definition Classes
Component
trait UDFUtils extends RestAPIUtils with Serializable with LazyLogging
Utility class with different UDFs to take care of miscellaneous tasks.
type UnionAll = Dataset[Row]

Definition Classes
Component
type Visualize = Unit

Definition Classes
Component
type WindowFunction = Dataset[Row]

Definition Classes
Component
implicit class ExtendedDataFrame extends AnyRef

Definition Classes
ProphecyDataFrame
implicit class ExtendedStreamingTarget extends AnyRef

Definition Classes
ProphecyDataFrame
implicit class ProphecyDataFrameReader extends AnyRef

Definition Classes
ProphecyDataFrame
implicit class ProphecyDataFrameWriter[T] extends AnyRef

Definition Classes
ProphecyDataFrame

Abstract Value Members

abstract def getClass(): Class[_]

Definition Classes
Any

Concrete Value Members

final def !=(arg0: Any): Boolean

Definition Classes
Any
final def ##(): Int

Definition Classes
Any
final def ==(arg0: Any): Boolean

Definition Classes
Any
val InterimState: InterimStore.type

Definition Classes
ProphecyDataFrame
def YJJJ_to_YYYYJJJ(in_date: Column, ref_date: Column): Column
Converts 1 digit julian year to 4 digits julian year.
Converts 1 digit julian year to 4 digits julian year.
in_date
date in Julian in "YJJJ" format
ref_date
date in "yyyyMMdd" format
returns
a date in "YYYYJJJ"

Definition Classes
SparkFunctions
def appendTrailer(pathInputData: String, pathInputTrailer: String, pathOutputConcatenated: String, configuration: Configuration): Unit
Appends a trailer data to every single file in the data directory.
Appends a trailer data to every single file in the data directory. A single trailer file in the pathOutputTrailer directory should correspond to a single data file in the pathOutputData directory.
If a trailer for a given file does not exist, the file is moved as is to the output directory.
pathInputData
Input data files directory
pathInputTrailer
Input trailer files directory
pathOutputConcatenated
Output concatenated files directory
configuration
Hadoop configuration (preferably sparkSession.sparkContext.hadoopConfiguration)

Definition Classes
DataHelpers
def arrayColumn(value: String, values: String*): Column
Function to take variable number of values and create an array column out of it.
Function to take variable number of values and create an array column out of it.
value
input value
values
variable number of input values.
returns
an array of column.

Definition Classes
UDFUtils
val array_value: UserDefinedFunction
UDF to find and return element in arr sequence at passed index.
UDF to find and return element in arr sequence at passed index. If no element found then null is returned.

Definition Classes
UDFUtils
final def asInstanceOf[T0]: T0

Definition Classes
Any
val bigDecimalToPackedBytes: UserDefinedFunction

Definition Classes
SparkFunctions
val call_rest_api: UserDefinedFunction
Spark UDF that makes a single blocking rest API call to a given url.
Spark UDF that makes a single blocking rest API call to a given url. The result of this udf is always produced, contains a proper error if it failed at any stage, and never interrupts the job execution (unless called with invalid signature).
The default timeout can be configured through the spark.network.timeout Spark configuration option.
Parameters:
- method - any supported HTTP1.1 method type, e.g. POST, GET. Complete list: httpMethods.
- url - valid url to which a request is going to be made
- headers - an array of "key: value" headers that are past with the request
- content - any content (by default, the supported rest api content type is application/json)
Response - a struct with the following fields:
- isSuccess - boolean, whether a successful response has been received
- status - nullable integer, status code (e.g. 404, 200, etc)
- headers - an array of name: value response headers (e.g. [Server: akka-http/10.1.10, Date: Tue, 07 Sep 2021 18:11:47 GMT])
- content - nullable string, response back
- error - nullable string, if the parameters passed are valid or the system failed to make a call, this field contains an error message
Definition Classes
RestAPIUtils
val canonical_representation: UserDefinedFunction

Definition Classes
SparkFunctions
def castDataType(sparkSession: SparkSession, df: DataFrame, column: Column, dataType: String, replaceColumn: String): DataFrame
Function to add new typecasted column in input dataframe.
Function to add new typecasted column in input dataframe. Newly added column is typecasted version of passed column. Typecast operation is supported for string, boolean, byte, short, int, long, float, double, decimal, date, timestamp
sparkSession
spark session
df
input dataframe
column
input column to be typecasted
dataType
datatype to cast column to.
replaceColumn
column name to be added in dataframe.
returns
new dataframe with new typecasted column.

Definition Classes
UDFUtils
def concatenate(sources: Seq[String], destination: String, compressToGZip: Boolean = false): Unit
Method to get data from multiple source paths and combine it into single destination path.
Method to get data from multiple source paths and combine it into single destination path.
sources
multiple source paths from which to merge the data.
destination
destination path to combine all data to.
compressToGZip
flag to compress final output file into gzip format

Definition Classes
DataHelpers
def convertInputBytesToStructType(input: Any, typeInfo: Seq[String], startByte: Int = 0): Row
Method used for abinitio's reinterpret_as function to read necessary bytes from byteArray for input data and convert into struct format as per provided in typeInfo sequence.
Method used for abinitio's reinterpret_as function to read necessary bytes from byteArray for input data and convert into struct format as per provided in typeInfo sequence.
TypeInfo can have multiple entries, each could be either decimal or string type. Depending on the argument passed within decimal or string bytes are read from input byte array.
If decimal or string argument has some integer then that many bytes are read from input byte array or if decimal or string has some string delimiter as its argument then from the current position bytes are read until string delimiter is found in input byte array.

Definition Classes
SparkFunctions
def createDataFrameFromData(inputData: String, delimiter: String, columnName: String, columnType: String, sparkSession: SparkSession): DataFrame
Method to read values from inputData and create dataframe with column name as columnName and column type as columnType for the values in inputData delimiter by delimiter.
Method to read values from inputData and create dataframe with column name as columnName and column type as columnType for the values in inputData delimiter by delimiter.

Definition Classes
SparkFunctions
def createLookup(name: String, df: DataFrame, spark: SparkSession, keyCols: List[String], rowCols: String*): UserDefinedFunction
Function registers 4 different UDFs with spark registry.
Function registers 4 different UDFs with spark registry. UDF for lookup_match, lookup_count, lookup_row and lookup functions are registered. This function stores the data of input dataframe in a broadcast variable, then uses this broadcast variable in different lookup functions.
lookup : This function returns the first matching row for given input keys lookup_count : This function returns the count of all matching rows for given input keys. lookup_match : This function returns 0 if there is no matching row and 1 for some matching rows for given input keys. lookup_row : This function returns all the matching rows for given input keys.
This function registers for upto 10 matching keys as input to these lookup functions.
name
UDF Name
df
input dataframe
spark
spark session
keyCols
columns to be used as keys in lookup functions.
rowCols
schema of entire row which will be stored for each matching key.
returns
registered UDF definitions for lookup functions. These UDF functions returns different results depending on the lookup function.

Definition Classes
UDFUtils
def createRangeLookup(name: String, df: DataFrame, spark: SparkSession, minColumn: String, maxColumn: String, valueColumns: String*): UserDefinedFunction
Method to create UDF which looks for passed input double in input dataframe.
Method to create UDF which looks for passed input double in input dataframe. This function first loads the data of dataframe in broadcast variable and then defines a UDF which looks for input double value in the data stored in broadcast variable. If input double lies between passed col1 and col2 values then it adds corresponding row in the returned result. If value of input double doesn't lie between col1 and col2 then it simply returns null for current row in result.
name
created UDF name
df
input dataframe
spark
spark session
minColumn
column whose value to be considered as minimum in comparison.
maxColumn
column whose value to be considered as maximum in comparison.
valueColumns
remaining column names to be part of result.
returns
registers UDF which in turn returns rows corresponding to each row in dataframe on which range UDF is called.

Definition Classes
UDFUtils
val cross_join_index_range: UserDefinedFunction

Definition Classes
SparkFunctions
def date_add_months(inputDate: Column, months: Int): Column
Returns the internal representation of a date resulting from adding (or subtracting) a number of months to the specified date.
Returns the internal representation of a date resulting from adding (or subtracting) a number of months to the specified date.
inputDate
in yyyy-MM-dd format

Definition Classes
SparkFunctions
def date_difference_days(laterDate: Column, earlierDate: Column): Column
Computes number of days between two specified dates in "yyyyMMdd" format
Computes number of days between two specified dates in "yyyyMMdd" format
laterDate
input date
earlierDate
input date
returns
number of days between laterDate and earlierDate or null if either one is null

Definition Classes
SparkFunctions
val date_month_end: UserDefinedFunction

Definition Classes
SparkFunctions
val datetime_add: UserDefinedFunction

Definition Classes
SparkFunctions
def datetime_add_months(input: Column, months: Int): Column
Returns the internal representation of a timestamp resulting from adding (or subtracting) a number of months to the specified timestamp.
Returns the internal representation of a timestamp resulting from adding (or subtracting) a number of months to the specified timestamp.
input
timestamp in yyyy-MM-dd HH:mm:ss.SSSS format

Definition Classes
SparkFunctions
val datetime_difference: UserDefinedFunction

Definition Classes
SparkFunctions
def datetime_difference_hours(end: Column, start: Column): Column
Returns the number of hours between two specified dates in standard format yyyy-MM-dd HH:mm:ss.SSSS.
Returns the number of hours between two specified dates in standard format yyyy-MM-dd HH:mm:ss.SSSS.

Definition Classes
SparkFunctions
def datetime_from_unixtime(seconds: Column): Column

Definition Classes
SparkFunctions
def decimal_lpad(input: Column, len: Int, char_to_pad_with: String = "0", decimal_point_char: String = "."): Column
Method uses a java regex to identify decimal numbers from input string.
Method uses a java regex to identify decimal numbers from input string. This decimal number could be of 3 types 1. Simple integral number. e.g. 013334848. This part is identified by regex. 2. decimal number with explicit decimal point. e.g. 123456.90. This part is identified by combination of [0-9]+(\$$decimal_point_char)[0-9]+ and (0\$$decimal_point_char)[0-9]+ regex
After extracting decimal number this code checks if length of decimal number is more than len parameter or not. If length is more than len parameter then it simply returns this extracted decimal number. Otherwise it first left pad decimal number with char_to_pad_with to make its length equal to len parameter and then adjusts minus sign (-) to left most part of decimal number.
input
input string.
len
length of characters.
char_to_pad_with
character to left pad with. default value is "0"
decimal_point_char
A string that specifies the character that represents the decimal point.
returns
a decimal string of the specified length or longer, left-padded with a specified character as needed and trimmed of leading zeros.

Definition Classes
SparkFunctions
def decimal_lrepad(input: Column, len: Int, char_to_pad_with: String = "0", decimal_point_char: String = "."): Column
Method uses a java regex to identify decimal numbers from input string.
Method uses a java regex to identify decimal numbers from input string. This decimal number could be of 3 types 1. Simple integral number. e.g. 013334848. This part is identified by combination of [1-9][0-9]*[0-9] and [1-9]+ regex 2. decimal number with explicit decimal point. e.g. 123456.90. This part is identified by combination of [1-9][0-9]*(\\\$$decimal_point_char)[0-9]+ and (0\\\$$decimal_point_char)[0-9]*[0-9] regex
After extracting decimal number this code checks if length of decimal number is more than len parameter or not. If length is more than len parameter then it simply returns this extracted decimal number. Otherwise it first left pad decimal number with char_to_pad_with to make its length equal to len parameter and then adjusts minus sign (-) to left most part of decimal number.
input
input string.
len
length of characters.
char_to_pad_with
character to left pad with. default value is "0"
decimal_point_char
A string that specifies the character that represents the decimal point.
returns
a decimal string of the specified length or longer, left-padded with a specified character as needed and trimmed of leading zeros.

Definition Classes
SparkFunctions
def decimal_round(input: Column, places: Int): Column

Definition Classes
SparkFunctions
def decimal_round_down(input: Column, right_digits: Int): Column
Function returns a value which is rounded down to right_digits number of digits to the right of decimal point.
Function returns a value which is rounded down to right_digits number of digits to the right of decimal point.

Definition Classes
SparkFunctions
def decimal_round_up(input: Column, places: Int): Column
Returns a number rounded up to a specified number of places to the right of the decimal point.
Returns a number rounded up to a specified number of places to the right of the decimal point.

Definition Classes
SparkFunctions
def decimal_strip(input: Column, decimal_point_char: String = "."): Column
Function uses a java regex to identify decimal numbers from input string.
Function uses a java regex to identify decimal numbers from input string. This decimal number could be of 3 types 1. Simple integral number. e.g. 013334848. This part is identified by combination of [1-9][0-9 ]*[0-9] and [1-9]+ regex 2. decimal number with explicit decimal point. e.g. 123456.90. This part is identified by combination of [1-9][0-9]*(\$$decimal_point_char)[0-9 ]+ and (0\$$decimal_point_char)[0-9 ]*[0-9] regex
After extracting decimal number this code looks for minus sign before extracted number in input and appends it with decimal number if found minus sign.
In the end it replaces all whitespaces with empty string in the final resultant decimal number.
input
input string
decimal_point_char
A string that specifies the character that represents the decimal point.
returns
a decimal from a string that has been trimmed of leading zeros and non-numeric characters.

Definition Classes
SparkFunctions
def decimal_truncate(input: Column, number_of_places: Column): Column

Definition Classes
SparkFunctions
val decodeBytes: UserDefinedFunction

Definition Classes
SparkFunctions
val decodeString: UserDefinedFunction

Definition Classes
SparkFunctions
val decode_datetime: UserDefinedFunction
UDF to get record of type decode_datetime_type.
UDF to get record of type decode_datetime_type. This record will have all its fields populated with corresponding entries in input date/timestamp.
Returned record will have following schema.
integer(8) year; integer(8) month; integer(8) day; integer(8) hour; integer(8) minute; integer(8) second; integer(8) microsecond;
Note: Supported Input time is in yyyy-MM-dd HH:mm:ss.SSSSSS or yyyy-MM-dd HH:mm:ss or yyyy-MM-dd formats only. Additional handling is done to support timestamp retrieved from now() function call.

Definition Classes
SparkFunctions
val decode_datetime_as_local: UserDefinedFunction

Definition Classes
SparkFunctions
def directory_listing(path: String, filePrefix: String): Column

Definition Classes
SparkFunctions
def dropColumns(sparkSession: SparkSession, df: DataFrame, columns: Column*): DataFrame
Function to drop passed columns from input dataframe.
Function to drop passed columns from input dataframe.
sparkSession
spark session
df
input dataframe.
columns
list of columns to be dropped from dataframe.
returns
new dataframe with dropped columns.

Definition Classes
UDFUtils
val encodeBytes: UserDefinedFunction

Definition Classes
SparkFunctions
val encodeString: UserDefinedFunction

Definition Classes
SparkFunctions
val encode_date: UserDefinedFunction
integer values specifying days relative to January 1, 1900.
integer values specifying days relative to January 1, 1900. This function returns the internal representation of a date given the year, month, and date. encode_date returns the internal representation of the date specified by the year 1998, the month 5, and the day 18:encode_date(1998, 5, 18) = 35931

Definition Classes
SparkFunctions
def ends_with(input: Column, suffix: String): Column
Returns true if string columns ends with given suffix
Returns true if string columns ends with given suffix

Definition Classes
SparkFunctions
def equals(arg0: Any): Boolean

Definition Classes
Any
val eval: UserDefinedFunction
Method to return the result of evaluating a string expression in the context of a specified input column.
Method to return the result of evaluating a string expression in the context of a specified input column. Here input column could be struct type record, simple column, array type etc. Here expr could be reference to nested column inside input column or any expression which requires values from input column for its evaulation.
Note: Current implementation only supports scenerio where input column is of struct type and expr is simply dot separated column reference to input struct.

Definition Classes
SparkFunctions
def executeNonSelectSQLQueries(sqlList: Seq[String], dbConnection: Connection): Unit

Definition Classes
DataHelpers
val file_information: UserDefinedFunction
UDF to get file information for passed input file path.
UDF to get file information for passed input file path.

Definition Classes
SparkFunctions
def findFirstElement(input: Column, default: Column = lit(null)): Column

Definition Classes
SparkFunctions
def findFirstNonBlankElement(input: Column, default: Column): Column

Definition Classes
SparkFunctions
def findLastElement(input: Column, default: Column = lit(null)): Column

Definition Classes
SparkFunctions
def first_defined(expr1: Column, expr2: Column): Column
Method to identify and return first non null expression.
Method to identify and return first non null expression.

Definition Classes
SparkFunctions
val first_defined_for_double_Udf: UserDefinedFunction

Definition Classes
SparkFunctions
def flattenStructSchema(schema: StructType, prefix: String = null): Array[Column]

Definition Classes
SparkFunctions
val force_error: UserDefinedFunction

Definition Classes
SparkFunctions
def from_sv(input: Column, separator: String, schema: StructType): Column

Definition Classes
SparkFunctions
def from_xml(content: Column, schema: StructType): Column

Definition Classes
SparkFunctions
def ftpTo(remoteHost: String, userName: String, password: String, sourceFile: String, destFile: String, retryFailures: Boolean, retryCount: Int, retryPauseSecs: Int, mode: String, psCmd: String): (Boolean, Boolean, String, String)

Definition Classes
DataHelpers
def generateDataFrameWithSequenceColumn(start: Int, end: Int, columnName: String, sparkSession: SparkSession): DataFrame
Method to create dataframe with single column containing increasing sequence id from start to end.
Method to create dataframe with single column containing increasing sequence id from start to end.

Definition Classes
SparkFunctions
def generate_sequence(start: Int, end: Int, step: Int = 1): Column
Function to create sequence of array between two passed numbers
Function to create sequence of array between two passed numbers
start
starting point of generated sequence
end
terminating point of generated sequence.
returns
column containing sequence of integers.

Definition Classes
SparkFunctions
val generate_sequence: UserDefinedFunction
UDF to generate column with sequence of integers between two passed start and end columns.
UDF to generate column with sequence of integers between two passed start and end columns.

Definition Classes
SparkFunctions
val getByteFromByteArray: UserDefinedFunction
UDF to get last Byte from ByteArray of input data.
UDF to get last Byte from ByteArray of input data.

Definition Classes
SparkFunctions
def getColumnInSecondArrayByFirstNonBlankPositionInFirstArray(nonBlankEntryExpr: Column, firstArray: Column, secondArray: Column): Column

Definition Classes
SparkFunctions
def getContentAsStream(content: String): StringAsStream

Definition Classes
SparkFunctions
def getEmptyLogDataFrame(sparkSession: SparkSession): DataFrame
Method to get empty dataframe with below abinitio log schema.
Method to get empty dataframe with below abinitio log schema.
record string("|") node, timestamp, component, subcomponent, event_type; string("|\n") event_text; end

Definition Classes
DataHelpers
def getFebruaryDay(year: Column): Column
Computes number of days in February month in a given year
Computes number of days in February month in a given year
year
year whose number of days in February needs to be calculated
returns
number of days

Definition Classes
SparkFunctions
def getFieldFromStructByPosition(column: Column, position: Int): Column
Method to get field at specific position from struct column
Method to get field at specific position from struct column

Definition Classes
SparkFunctions
val getIntFromByteArray: UserDefinedFunction
UDF to get integer comprising of last 4 Bytes from ByteArray of input data.
UDF to get integer comprising of last 4 Bytes from ByteArray of input data.

Definition Classes
SparkFunctions
val getLongArrayFromByteArray: UserDefinedFunction
UDF to get long comprising of last 8 Bytes from ByteArray of input data.
UDF to get long comprising of last 8 Bytes from ByteArray of input data.

Definition Classes
SparkFunctions
val getLongFromByteArray: UserDefinedFunction
UDF to get long comprising of last 8 Bytes from ByteArray of input data.
UDF to get long comprising of last 8 Bytes from ByteArray of input data.

Definition Classes
SparkFunctions
def getMTimeDataframe(filepath: String, format: String, spark: SparkSession): DataFrame

Definition Classes
SparkFunctions
val getShortFromByteArray: UserDefinedFunction
UDF to get short comprising of last 2 Bytes from ByteArray of input data.
UDF to get short comprising of last 2 Bytes from ByteArray of input data.

Definition Classes
SparkFunctions
def hashCode(): Int

Definition Classes
Any
val hash_MD5: UserDefinedFunction

Definition Classes
SparkFunctions
val instr_udf: UserDefinedFunction

Definition Classes
SparkFunctions
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
def isNullOrEmpty(input: Column): Column
Method to check if current column is null or has empty value.
Method to check if current column is null or has empty value.

Definition Classes
SparkFunctions
def is_ascii(input: Column): Column
Checks if a string is ascii
Checks if a string is ascii
input
column to be checked
returns
true if the input string is ascii otherwise false

Definition Classes
SparkFunctions
def is_blank(input: Column): Column
Method to identify if input string is a blank string or not.
Method to identify if input string is a blank string or not.
input
input string.
returns
return 1 if given string contains all blank character or is a zero length string, otherwise it returns 0

Definition Classes
SparkFunctions
val is_bzero: UserDefinedFunction
Tests whether an object is composed of all binary zero bytes.
Tests whether an object is composed of all binary zero bytes. This function returns: 1. 1 if obj contains only binary zero bytes or is a zero-length string 2. 0 if obj contains any non-zero bytes 3. NULL if obj is NULL

Definition Classes
SparkFunctions
def is_numeric_ascii(input: Column): Column
Checks if an input string contains only ascii code and numbers
Checks if an input string contains only ascii code and numbers
input
string to be checked
returns
true if input string contains only ascii code and numbers or null if input is null

Definition Classes
SparkFunctions
def is_valid(input: Column, isNullable: Boolean, formatInfo: Option[Any], len: Option[Seq[Int]]): Column
Method to identify if passed input column is a valid expression after typecasting to passed dataType.
Method to identify if passed input column is a valid expression after typecasting to passed dataType. Also while typecasting if len is present then this function also makes sure the max length of input column after typecasting operation is not greater than len.
input
input column expression to be identified if is valid.
formatInfo
datatype to which input column expression must be typecasted. If datatype is a string then it is treated as timestamp format. If it is a list of string then it is treated as having current timestamp format and and new timestamp format to which input column needs to be typecasted.
len
max length of input column after typecasting it to dataType.
returns
0 if input column is not valid after typecasting or 1 if it is valid.

Definition Classes
SparkFunctions
def is_valid(input: Column, isNullable: Boolean, formatInfo: Option[Any]): Column

Definition Classes
SparkFunctions
def is_valid(input: Column, formatInfo: Option[Any], len: Option[Seq[Int]]): Column

Definition Classes
SparkFunctions
def is_valid(input: Column, formatInfo: Option[Any]): Column

Definition Classes
SparkFunctions
def is_valid(input: Column, isNullable: Boolean): Column

Definition Classes
SparkFunctions
def is_valid(input: Column): Column

Definition Classes
SparkFunctions
def is_valid_date(dateFormat: String, inDate: Column): Column
Validates date against a input format
Validates date against a input format
dateFormat
A pattern such as yyyy-MM-dd or yyyy-MM-dd HH:mm:ss.SSSS or dd.MM.yyyy
inDate
Input date to be validated
returns
true if the input date is valid otherwise false

Definition Classes
SparkFunctions
def loadBinaryFileAsBinaryDataFrame(filePath: String, lineDelimiter: String = "\n", minPartition: Int = 1, rowName: String = "line", spark: SparkSession): DataFrame

Definition Classes
DataHelpers
def loadBinaryFileAsStringDataFrame(filePath: String, lineDelimiter: String = "\n", charSetEncoding: String = "Cp1047", minPartition: Int = 1, rowName: String = "line", spark: SparkSession): DataFrame

Definition Classes
DataHelpers
def loadFixedWindowBinaryFileAsDataFrame(filePath: String, lineLength: Int, minPartition: Int = 1, rowName: String = "line", spark: SparkSession): DataFrame

Definition Classes
DataHelpers
lazy val logger: Logger

Attributes
protected
Definition Classes
LazyLogging
Annotations
@transient()
def lookup(lookupName: String, cols: Column*): Column
By default returns only the first matching record
By default returns only the first matching record

Definition Classes
UDFUtils
def lookup_count(lookupName: String, cols: Column*): Column

Definition Classes
UDFUtils
def lookup_last(lookupName: String, cols: Column*): Column
Returns the last matching record
Returns the last matching record

Definition Classes
UDFUtils
def lookup_match(lookupName: String, cols: Column*): Column
returns
Boolean Column

Definition Classes
UDFUtils
def lookup_nth(lookupName: String, cols: Column*): Column

Definition Classes
UDFUtils
def lookup_range(lookupName: String, input: Column): Column

Definition Classes
UDFUtils
def lookup_row(lookupName: String, cols: Column*): Column

Definition Classes
UDFUtils
def lookup_row_reverse(lookupName: String, cols: Column*): Column

Definition Classes
UDFUtils
val make_byte_flags: UserDefinedFunction
UDF to return a flag for each character if it is present or not in input String.
UDF to return a flag for each character if it is present or not in input String.

Definition Classes
SparkFunctions
def make_constant_vector(size: Int, seedVal: Int): Array[Int]
Method to create array of size "size" containing seedVal as each entry
Method to create array of size "size" containing seedVal as each entry

Definition Classes
SparkFunctions
def make_constant_vector(size: Int, seedVal: Column): Column
Method to create array of size "size" containing seedVal as each entry
Method to create array of size "size" containing seedVal as each entry

Definition Classes
SparkFunctions
def measure[T](fn: ⇒ T)(caller: String = findCaller()): T

Definition Classes
UDFUtils
val multifile_information: UserDefinedFunction
UDF to get multifile information for passed input file path.
UDF to get multifile information for passed input file path.

Definition Classes
SparkFunctions
val murmur: UserDefinedFunction
UDF for murmur hash generation for any column type
UDF for murmur hash generation for any column type

Definition Classes
SparkFunctions
def now(): Column
Method to get current timestamp.
Method to get current timestamp.
returns
current timestamp in YYYYMMddHHmmssSSSSSS format.

Definition Classes
SparkFunctions
def numberOfPartitions(in: DataFrame): Column

Definition Classes
SparkFunctions
val number_grouping: UserDefinedFunction
udf to group input decimal into multiple groups separated by separator
udf to group input decimal into multiple groups separated by separator

Definition Classes
SparkFunctions
val packedBytesStringToDecimal: UserDefinedFunction

Definition Classes
SparkFunctions
val packedBytesToDecimal: UserDefinedFunction

Definition Classes
SparkFunctions
val re_get_match: UserDefinedFunction
Returns the first string in a target string that matches a regular expression.
Returns the first string in a target string that matches a regular expression.

Definition Classes
SparkFunctions
val re_get_match_with_index: UserDefinedFunction

Definition Classes
SparkFunctions
val re_index: UserDefinedFunction
UDF wrapper over re_index function.
UDF wrapper over re_index function.

Definition Classes
SparkFunctions
val re_index_with_offset: UserDefinedFunction
Returns the first string in a target string that matches a regular expression.
Returns the first string in a target string that matches a regular expression.

Definition Classes
SparkFunctions
def re_replace(target: Column, pattern: String, replacement: String, offset: Int = 0): Column
Replaces all substrings in a target string that match a specified regular expression.
Replaces all substrings in a target string that match a specified regular expression.
target
A string that the function searches for a substring that matches pattern_expr.
pattern
regular expression
replacement
replacement string
offset
Number of characters, from the beginning of str, to skip before searching.
returns
a replaced string in which all substrings, which matches a specified regular expression, are replaced.

Definition Classes
SparkFunctions
def re_replace_first(target: Column, pattern: String, replacement: String, offset: Column = lit(0)): Column
Replaces only the first regex matching occurrence in the target string.
Replaces only the first regex matching occurrence in the target string.
target
A string that the function searches for a substring that matches pattern_expr.
pattern
regular expression
replacement
replacement string
returns
a replaced string in which first substring, which matches a specified regular expression, is replaced.

Definition Classes
SparkFunctions
val re_split_no_empty: UserDefinedFunction
UDF to split input string via pattern string and remove all empty subtrings.
UDF to split input string via pattern string and remove all empty subtrings.

Definition Classes
SparkFunctions
val readBytesIntoInteger: UserDefinedFunction

Definition Classes
SparkFunctions
val readBytesIntoLong: UserDefinedFunction

Definition Classes
SparkFunctions
val readBytesStringIntoInteger: UserDefinedFunction

Definition Classes
SparkFunctions
val readBytesStringIntoLong: UserDefinedFunction

Definition Classes
SparkFunctions
def readHiveTable(spark: SparkSession, database: String, table: String, partition: String = ""): DataFrame
Method to read data from hive table.
Method to read data from hive table.
spark
spark session
database
hive database
table
hive table.
partition
hive table partition to read data specifically from if provided.
returns
dataframe with data read from Hive Table.

Definition Classes
DataHelpers
def readHiveTableInChunks(spark: SparkSession, database: String, table: String, partitionKey: String, partitionValue: String): DataFrame
Reads a full hive table partition, by reading every subpartition separately and performing a union on all the final DataFrames
Reads a full hive table partition, by reading every subpartition separately and performing a union on all the final DataFrames
This function is meant to temporarily solve the problem with Hive metastore crashing when querying too many partitions at the same time.
spark
spark session
database
hive database name
table
hive table name
partitionKey
top-level partition's key
partitionValue
top-level partition's value
returns
A complete DataFrame with the selected hive table partition

Definition Classes
DataHelpers
val read_file: UserDefinedFunction

Definition Classes
SparkFunctions
val record_info: UserDefinedFunction

Definition Classes
SparkFunctions
val record_info_with_includes: UserDefinedFunction

Definition Classes
SparkFunctions
def registerAllUDFs(spark: SparkSession): Unit

Definition Classes
SparkFunctions
def registerProphecyUdfs(spark: SparkSession): Unit

Definition Classes
UDFUtils
def register_output_schema(portName: String, schema: StructType): Unit

Definition Classes
Component
def remove_non_digit(input: Column): Column
Method removes any non-digit characters from the specified string column.
Method removes any non-digit characters from the specified string column.
input
input String Column
returns
Cleaned string column or null

Definition Classes
SparkFunctions
def replaceBlankColumnWithNull(input: Column): Column
Method to replace String Columns with Empty value to Null.
Method to replace String Columns with Empty value to Null.

Definition Classes
SparkFunctions
def replaceString(sparkSession: SparkSession, df: DataFrame, outputCol: String, inputCol: String, replaceWith: String, value: String, values: String*): DataFrame
Function to add new column in passed dataframe.
Function to add new column in passed dataframe. Newly added column value is decided by the presence of value corresponding to inputCol in array comprised of value and values. If inputCol is found then value of replaceWith is added in new column otherwise inputCol value is added.
sparkSession
spark session.
df
input dataframe.
outputCol
name of new column to be added.
inputCol
column name whose value is searched.
replaceWith
value with which to replace searched value if found.
value
element to be combined in array column
values
all values to be combined in array column for searching purpose.
returns
dataframe with new column with column name outputCol

Definition Classes
UDFUtils
def replaceStringNull(sparkSession: SparkSession, df: DataFrame, outputCol: String, inputCol: String, replaceWith: String, value: String, values: String*): DataFrame
Function to add new column in passed dataframe.
Function to add new column in passed dataframe. Newly added column value is decided by the presence of value corresponding to inputCol in array comprised of value and values and null. If inputCol is found then value of replaceWith is added in new column otherwise inputCol value is added.
sparkSession
spark session.
df
input dataframe.
outputCol
name of new column to be added.
inputCol
column name whose value is searched.
replaceWith
value with which to replace searched value if found.
value
element to be combined in array column
values
all values to be combined in array column for searching purpose.
returns
dataframe with new column with column name outputCol

Definition Classes
UDFUtils
def replaceStringWithNull(sparkSession: SparkSession, df: DataFrame, outputCol: String, inputCol: String, value: String, values: String*): DataFrame
Function to add new column in passed dataframe.
Function to add new column in passed dataframe. Newly added column value is decided by the presence of value corresponding to inputCol in array comprised of value and values and null. If inputCol is found then value of null is added in new column otherwise inputCol value is added.
sparkSession
spark session.
df
input dataframe.
outputCol
name of new Column to be added.
inputCol
column name whose value is searched.
value
element to be combined in array column.
values
all values to be combined in array column for searching purpose.
returns
dataframe with new column with column name outputCol

Definition Classes
UDFUtils
def replace_null_with_blank(input: Column): Column

Definition Classes
SparkFunctions
val replace_string: UserDefinedFunction
UDF to find str in input sequence toBeReplaced and return replace if found.
UDF to find str in input sequence toBeReplaced and return replace if found. Otherwise str is returned.

Definition Classes
UDFUtils
val replace_string_with_null: UserDefinedFunction
UDF to find str in input sequence toBeReplaced and return null if found.
UDF to find str in input sequence toBeReplaced and return null if found. Otherwise str is returned.

Definition Classes
UDFUtils
def scanf_double(format: Column, value: Column): Column

Definition Classes
SparkFunctions
def scanf_long(format: Column, value: Column): Column

Definition Classes
SparkFunctions
def schemaRowCompareResult(row1: StructType, row2: StructType): Column

Definition Classes
SparkFunctions
def sign_explicit(c: Column): Column
Adds an explicit sign to the number.
Adds an explicit sign to the number. E.g. 2 -> +2; -004 -> -004; 0 -> +0

Definition Classes
SparkFunctions
val sign_explicit_Udf: UserDefinedFunction

Definition Classes
SparkFunctions
def sign_reserved(c: Column): Column

Definition Classes
SparkFunctions
val sign_reserved_Udf: UserDefinedFunction

Definition Classes
SparkFunctions
def splitIntoMultipleColumns(sparkSession: SparkSession, df: DataFrame, colName: String, pattern: String, prefix: String = null): DataFrame
Function to split column with colName in input dataframe using split pattern into multiple columns.
Function to split column with colName in input dataframe using split pattern into multiple columns. If prefix name is provided each new generated column is prefixed with prefix followed by column number, otherwise original column name is used.
sparkSession
spark session.
df
input dataframe.
colName
column in dataframe which needs to be split into multiple columns.
pattern
regex with which column in input dataframe will be split into multiple columns.
prefix
column prefix to be used with all newly generated columns.
returns
new dataframe with new columns where new column values are generated after splitting original column colName.

Definition Classes
UDFUtils
val splitIntoMultipleColumnsUdf: UserDefinedFunction
UDF to break input string into multiple string via delimiter.
UDF to break input string into multiple string via delimiter. Number of strings after split are adjusted as per passed width parameter. If number of strings are less then empty strings are added otherwise in case of more number of strings, first width number of entries are picked and remaining are discarded.

Definition Classes
SparkFunctions
def starts_with(input: Column, prefix: String): Column
Returns true if string columns starts with given prefix
Returns true if string columns starts with given prefix

Definition Classes
SparkFunctions
def string_char(inputStr: Column, index: Int): Column
Method to return character code of character at index position in inputStr string.
Method to return character code of character at index position in inputStr string.
inputStr
input string
index
location of character to get code.
returns
integer column.

Definition Classes
SparkFunctions
val string_cleanse: UserDefinedFunction
This implementation is incorrect.
This implementation is incorrect.

Definition Classes
SparkFunctions
def string_compare(input1: Column, input2: Column): Column

Definition Classes
SparkFunctions
val string_concat_in_loop: UserDefinedFunction

Definition Classes
SparkFunctions
val string_convert_explicit: UserDefinedFunction
Converts a string from one character set to another, replacing inconvertible characters with a specified string.
Converts a string from one character set to another, replacing inconvertible characters with a specified string.

Definition Classes
SparkFunctions
val string_filter: UserDefinedFunction
Method which returns string of characters present in both of the strings in the same order as appearing in first string
Method which returns string of characters present in both of the strings in the same order as appearing in first string

Definition Classes
SparkFunctions
val string_filter_out: UserDefinedFunction
Compares two input strings, then returns characters that appear in one string but not in the other.
Compares two input strings, then returns characters that appear in one string but not in the other.

Definition Classes
SparkFunctions
val string_index: UserDefinedFunction
UDF to find index of seekStr in inputStr.
UDF to find index of seekStr in inputStr. Returned index will be 1 based index.

Definition Classes
SparkFunctions
val string_index_with_offset: UserDefinedFunction
UDF to find index of seekStr in inputStr from offset index onwards.
UDF to find index of seekStr in inputStr from offset index onwards. Returned string position is 1 based position.

Definition Classes
SparkFunctions
def string_is_alphabetic(input: Column): Column
Method which returns true if input string contains all alphabetic characters, or false otherwise.
Method which returns true if input string contains all alphabetic characters, or false otherwise.

Definition Classes
SparkFunctions
def string_is_numeric(input: Column): Column
Method which returns true if input string contains all numeric characters, or false otherwise.
Method which returns true if input string contains all numeric characters, or false otherwise.

Definition Classes
SparkFunctions
def string_join(column: Column, delimiter: String): Column
Concatenates the elements of column using the delimiter.
Concatenates the elements of column using the delimiter.

Definition Classes
SparkFunctions
def string_length(input: Column): Column

Definition Classes
SparkFunctions
val string_like: UserDefinedFunction
Method to test whether a string matches a specified pattern.
Method to test whether a string matches a specified pattern. This function returns 1 if the input string matches a specified pattern, and 0 if the string does not match the pattern.
In abinitio version % character in pattern means to match zero or more characters and _ character means matches a single character.

Definition Classes
SparkFunctions
def string_lpad(input: Column, len: Int, pad_char: String = " "): Column
Left-pad the input string column with pad_char to a length of len.
Left-pad the input string column with pad_char to a length of len. If length of input column is more than len then returns input column unmodified.

Definition Classes
SparkFunctions
def string_lrepad(input: Column, len: Int, char_to_pad_with: String = " "): Column
function trims the string and then pad the string with given character upto given length.
function trims the string and then pad the string with given character upto given length. if the length of trimmed string is equal to or greater than given length than it return input string
input
input string
len
length in number of characters.
char_to_pad_with
A character used to pad input string to length len.
returns
string of a specified length, trimmed of leading and trailing blanks and left-padded with a given character.

Definition Classes
SparkFunctions
def string_pad(input: Column, len: Int, char_to_pad_with: String = " "): Column
function pads input on the right with the character char_to_pad_with to make the string length len.
function pads input on the right with the character char_to_pad_with to make the string length len. If str is already len or more characters long, the function returns input unmodified.

Definition Classes
SparkFunctions
val string_pad: UserDefinedFunction

Definition Classes
SparkFunctions
val string_pad_with_char: UserDefinedFunction

Definition Classes
SparkFunctions
def string_prefix(input: Column, length: Column): Column

Definition Classes
SparkFunctions
def string_repad(input: Column, len: Int, char_to_pad_with: String = " "): Column
function trims the string and then pad the string on right side with given character upto given length.
function trims the string and then pad the string on right side with given character upto given length. if the length of trimmed string is equal to or greater than given length than it return input string
input
input string
len
length in number of characters.
char_to_pad_with
A character used to pad input string to length len.
returns
string of a specified length, trimmed of leading and trailing blanks and left-padded with a given character.

Definition Classes
SparkFunctions
def string_replace(input: Column, seekStr: Column, newStr: Column, offset: Column = lit(0)): Column
Function to replace occurrence of seekStr with newStr string in input string after offset characters from first character.
Function to replace occurrence of seekStr with newStr string in input string after offset characters from first character.
input
input string on which to perform replace operation.
seekStr
string to be replaced in input string.
newStr
string to be used instead of seekStr in input string.
offset
number of characters to skip from begining in input string before performing string_replace operation.
returns
modified string where seekStr is replaced with newStr in input string.

Definition Classes
SparkFunctions
val string_replace_first: UserDefinedFunction

Definition Classes
SparkFunctions
val string_replace_first_in_loop: UserDefinedFunction

Definition Classes
SparkFunctions
val string_replace_in_loop: UserDefinedFunction

Definition Classes
SparkFunctions
val string_representation: UserDefinedFunction

Definition Classes
SparkFunctions
val string_rindex: UserDefinedFunction
Returns the index of the first character of the last occurrence of a seek string within another input string.
Returns the index of the first character of the last occurrence of a seek string within another input string. Returned index is 1 based.

Definition Classes
SparkFunctions
val string_rindex_with_offset: UserDefinedFunction
UDF to find index of seekStr in inputStr from end of inputStr skipping offset number of characters from end.
UDF to find index of seekStr in inputStr from end of inputStr skipping offset number of characters from end. Offset index is number of characters, from the end of str, to skip before searching. Returned string position is 1 based position.

Definition Classes
SparkFunctions
val string_split: UserDefinedFunction
UDF to split input string via delimiter string.
UDF to split input string via delimiter string.

Definition Classes
SparkFunctions
val string_split_no_empty: UserDefinedFunction
UDF to split input string via delimiter string and remove all empty subtrings.
UDF to split input string via delimiter string and remove all empty subtrings.

Definition Classes
SparkFunctions
def string_substring(input: Column, start_position: Column, length: Column): Column
Method to find substring of input string.
Method to find substring of input string.
input
string on which to find substring.
start_position
1 based starting position to find substring from.
length
total length of substring to be found.
returns
substring of input string

Definition Classes
SparkFunctions
def string_suffix(input: Column, len: Int): Column

Definition Classes
SparkFunctions
val take_last_nth: UserDefinedFunction
UDF to return nth element from last in passed array of elements.
UDF to return nth element from last in passed array of elements. In case input sequence has less number of elements than n then first element is returned.

Definition Classes
UDFUtils
val take_nth: UserDefinedFunction
UDF to take Nth element from beginning.
UDF to take Nth element from beginning. In case input sequence has less element than N then exception is thrown.

Definition Classes
UDFUtils
val test_characters_all: UserDefinedFunction
UDF to identify the number of characters in inputStr which are present in charFlag
UDF to identify the number of characters in inputStr which are present in charFlag

Definition Classes
SparkFunctions
def timezone_to_utc(timezone: String, time: Column): Column
Method to convert
Method to convert

Definition Classes
SparkFunctions
def toString(): String

Definition Classes
Any
def today(): Column
Method to return integer value representing number of days to today from “1-1-1990”.
Method to return integer value representing number of days to today from “1-1-1990”.
returns
integer value

Definition Classes
SparkFunctions
val translate_bytes: UserDefinedFunction
UDF to return a string in the native character set made up of bytes from the given map.
UDF to return a string in the native character set made up of bytes from the given map. Each byte of the result is the value of map indexed by the character code of the corresponding byte of the input string str. The function returns NULL if any argument is NULL.

Definition Classes
SparkFunctions
val truncateMicroSeconds: UserDefinedFunction
UDF to truncate microseconds part of timestamp.
UDF to truncate microseconds part of timestamp. This is needed as abinitio and spark has some incompatibility in microseconds part of timestamp format.

Definition Classes
SparkFunctions
val type_info: UserDefinedFunction

Definition Classes
SparkFunctions
val type_info_with_includes: UserDefinedFunction

Definition Classes
SparkFunctions
def unionAll(df: DataFrame*): DataFrame
Method to take union of all passed dataframes.
Method to take union of all passed dataframes.
df
list of dataframes for which to take union of.
returns
union of all passed input dataframes.

Definition Classes
DataHelpers
val unique_identifier: UserDefinedFunction

Definition Classes
SparkFunctions
val url_encode_escapes: UserDefinedFunction

Definition Classes
SparkFunctions
val windowSpec: WindowSpec

Definition Classes
SparkFunctions
def withSparkProperty[T](key: String, value: String, spark: SparkSession)(body: ⇒ T): T
def withSubgraphName[T](value: String, spark: SparkSession)(body: ⇒ T): T
def withTargetId[T](value: String, spark: SparkSession)(body: ⇒ T): T
def writeDataFrame(df: DataFrame, path: String, spark: SparkSession, props: Map[String, String], format: String, partitionColumns: List[String] = Nil, bucketColumns: List[String] = Nil, numBuckets: Option[Int] = None, sortColumns: List[String] = Nil, tableName: Option[String] = None, databaseName: Option[String] = None): Unit
Method to write data passed in dataframe in specific file format.
Method to write data passed in dataframe in specific file format.
df
dataframe containing data.
path
path to write data to.
spark
spark session.
props
underlying data source specific properties.
format
file format in which to persist data. Supported file formats are csv, text, json, parquet, orc
partitionColumns
columns to be used for partitioning.
bucketColumns
used to bucket the output by the given columns. If specified, the output is laid out on the file-system similar to Hive's bucketing scheme.
numBuckets
number of buckets to be used.
sortColumns
columns on which to order data while persisting.
tableName
table name for persisting data.
databaseName
database name for persisting data.

Definition Classes
DataHelpers
val writeIntegerToBytes: UserDefinedFunction

Definition Classes
SparkFunctions
val writeLongToBytes: UserDefinedFunction

Definition Classes
SparkFunctions
lazy val write_to_log: UserDefinedFunction
UDF to write logging parameters to log port.
UDF to write logging parameters to log port.

Definition Classes
DataHelpers
val xmlToJSON: UserDefinedFunction

Definition Classes
SparkFunctions
def yyyyMMdd_to_YYYYJJJ(in_date: Column): Column
Converts yyyyyMMdd to YYYYJJJ
Converts yyyyyMMdd to YYYYJJJ
in_date
date in yyyyMMdd format
returns
a date converted to YYYYJJJ

Definition Classes
SparkFunctions
def zip_eventInfo_arrays(column1: Column, column2: Column): Column
Method to zip two arrays with first one having event_type and second one having event_text
Method to zip two arrays with first one having event_type and second one having event_text

Definition Classes
SparkFunctions
object AbinitioDMLs
object CDC
object Component
object DataFrameValidator
object DataHelpers
object FixedFileFormatImplicits
object FixedFormatHelper
object FixedFormatSchemaImplicits
object RestAPIUtils
object SchemaUtils
object SparkFunctions
object LongSequence

Definition Classes
SparkFunctions
object LongWrappedArray

Definition Classes
SparkFunctions
object SparkTestingUtils

Packages

libs

package libs

Type Members

Abstract Value Members

Concrete Value Members

Inherited from FixedFileFormatImplicits

Inherited from SparkFunctions

Inherited from DataHelpers

Inherited from Component

Inherited from UDFUtils

Inherited from LazyLogging

Inherited from Serializable

Inherited from Serializable

Inherited from RestAPIUtils

Inherited from ProphecyDataFrame

Inherited from AnyRef

Inherited from Any

Ungrouped

Packages

libs 

package libs

Type Members

Abstract Value Members

Concrete Value Members

Inherited from FixedFileFormatImplicits

Inherited from SparkFunctions

Inherited from DataHelpers

Inherited from Component

Inherited from UDFUtils

Inherited from LazyLogging

Inherited from Serializable

Inherited from Serializable

Inherited from RestAPIUtils

Inherited from ProphecyDataFrame

Inherited from AnyRef

Inherited from Any

Ungrouped

libs