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Release 0.3.0 (#50)
* Version update * Removed non-working ScalaDoc links to be able to generate docs
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spark-commons/src/main/scala/za/co/absa/spark/commons/SparkVersionGuard.scala

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@@ -57,8 +57,9 @@ object SparkVersionGuard {
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case class SparkVersionGuard(minVersionInclusive: SemanticVersion, maxVersionExclusive: Option[SemanticVersion])
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(implicit log:Logger = LoggerFactory.getLogger(SparkVersionGuard.getClass)) {
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//TODO Fix ScalaDoc cross-module links #48 - ensureSparkVersionCompatibility(SemanticVersion)
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/**
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* String wrapper for [[ensureSparkVersionCompatibility(SemanticVersion)]]
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* String wrapper for ensureSparkVersionCompatibility(SemanticVersion)
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*
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* @param yourVersion provided spark version
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*/

spark-commons/src/main/scala/za/co/absa/spark/commons/implicits/DataFrameImplicits.scala

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@@ -35,8 +35,9 @@ object DataFrameImplicits {
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dfData
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}
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//TODO Fix ScalaDoc cross-module links #48 - Dataset.show()
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/**
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* Get the string representation of the data in the format as [[org.apache.spark.sql.Dataset.show()]] displays them
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* Get the string representation of the data in the format as Dataset.show() displays them
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*
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* @return The string representation of the data in the DataFrame
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* @since 0.2.0
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alignSchema(structType.getDataFrameSelector())
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}
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//TODO Fix ScalaDoc cross-module links #48 - Dataset.cache()
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/**
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* Persist this Dataset with the default storage level (`MEMORY_AND_DISK`), the same way as
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* [[org.apache.spark.sql.Dataset.cache]] does. But does not throw a warning if the DataFrame has been cached before.
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* Dataset.cache does. But does not throw a warning if the DataFrame has been cached before.
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*
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* @return the DataFrame itself
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* @since 0.3.0

spark-commons/src/main/scala/za/co/absa/spark/commons/implicits/StructTypeImplicits.scala

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@@ -31,9 +31,10 @@ import scala.util.Try
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object StructTypeImplicits {
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implicit class DataFrameSelector(schema: StructType) extends TransformAdapter {
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//TODO Fix ScalaDoc cross-module links #48 - DataFrameImplicits.DataFrameEnhancements.alignSchema
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/**
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* Returns data selector that can be used to align utils of a data frame.
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* You can use [[DataFrameImplicits.DataFrameEnhancements.alignSchema]].
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* You can use DataFrameImplicits.DataFrameEnhancements.alignSchema.
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*
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* @return Sorted DF to conform to utils
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*/

version.sbt

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ThisBuild / version := "0.3.0-SNAPSHOT"
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ThisBuild / version := "0.3.0"

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