[GitHub] [hudi] nsivabalan commented on a diff in pull request #7951: [HUDI-5796] Adding auto inferring partition from incoming df

["nsivabalan (via GitHub)" <gi...@apache.org>]

nsivabalan commented on code in PR #7951:
URL: https://github.com/apache/hudi/pull/7951#discussion_r1120975062


##########
hudi-spark-datasource/hudi-spark-common/src/main/scala/org/apache/hudi/DataSourceOptions.scala:
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@@ -288,44 +287,42 @@ object DataSourceWriteOptions {
     .withDocumentation("The table type for the underlying data, for this write. This can’t change between writes.")
 
   /**
-    * Translate spark parameters to hudi parameters
-    *
-    * @param optParams Parameters to be translated
-    * @return Parameters after translation
-    */
-  def translateSqlOptions(optParams: Map[String, String]): Map[String, String] = {
-    var translatedOptParams = optParams
-    // translate the api partitionBy of spark DataFrameWriter to PARTITIONPATH_FIELD
-    // we should set hoodie's partition path only if its not set by the user.
-    if (optParams.contains(SparkDataSourceUtils.PARTITIONING_COLUMNS_KEY)
-      && !optParams.contains(KeyGeneratorOptions.PARTITIONPATH_FIELD_NAME.key())) {
-      val partitionColumns = optParams.get(SparkDataSourceUtils.PARTITIONING_COLUMNS_KEY)
-        .map(SparkDataSourceUtils.decodePartitioningColumns)
-        .getOrElse(Nil)
-      val keyGeneratorClass = optParams.getOrElse(DataSourceWriteOptions.KEYGENERATOR_CLASS_NAME.key(),
-        DataSourceWriteOptions.KEYGENERATOR_CLASS_NAME.defaultValue)
-
-      keyGeneratorClass match {
-        // CustomKeyGenerator needs special treatment, because it needs to be specified in a way
-        // such as "field1:PartitionKeyType1,field2:PartitionKeyType2".
-        // partitionBy can specify the partition like this: partitionBy("p1", "p2:SIMPLE", "p3:TIMESTAMP")
-        case c if (c.nonEmpty && c == classOf[CustomKeyGenerator].getName) =>
-          val partitionPathField = partitionColumns.map(e => {
-            if (e.contains(":")) {
-              e
-            } else {
-              s"$e:SIMPLE"
-            }
-          }).mkString(",")
-          translatedOptParams = optParams ++ Map(PARTITIONPATH_FIELD.key -> partitionPathField)
-        case c if (c.isEmpty || !keyGeneratorClass.equals(classOf[NonpartitionedKeyGenerator].getName)) =>
-          // for any key gen other than NonPartitioned key gen, we can override the partition field config.
-          val partitionPathField = partitionColumns.mkString(",")
-          translatedOptParams = optParams ++ Map(PARTITIONPATH_FIELD.key -> partitionPathField)
-        case _ => // no op incase of NonPartitioned Key gen.
-      }
+   * Derive [[PARTITIONPATH_FIELD]] based on [[SparkDataSourceUtils.PARTITIONING_COLUMNS_KEY]]
+   * if [[PARTITIONPATH_FIELD]] is not set explicitly.
+   */
+  def derivePartitionPathFieldsIfNeeded(optParams: Map[String, String]): Map[String, String] = {
+    if (!optParams.contains(SparkDataSourceUtils.PARTITIONING_COLUMNS_KEY)
+      || optParams.contains(KeyGeneratorOptions.PARTITIONPATH_FIELD_NAME.key())) {
+      return optParams
+    }
+
+    val partitionColumns = optParams.get(SparkDataSourceUtils.PARTITIONING_COLUMNS_KEY)
+      .map(SparkDataSourceUtils.decodePartitioningColumns)
+      .getOrElse(Nil)
+    val keyGeneratorClass = optParams.getOrElse(DataSourceWriteOptions.KEYGENERATOR_CLASS_NAME.key(),
+      DataSourceWriteOptions.KEYGENERATOR_CLASS_NAME.defaultValue)

Review Comment:
   I don't think key gen type is recommended. there are some flows where its not honored. So, we fixed out quick start to call out and ask users to use key gen class only. 



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