nsivabalan commented on code in PR #7951:
URL: https://github.com/apache/hudi/pull/7951#discussion_r1114880387
##########
hudi-spark-datasource/hudi-spark-common/src/main/scala/org/apache/hudi/HoodieSparkSqlWriter.scala:
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@@ -1018,6 +1023,26 @@ object HoodieSparkSqlWriter {
}
}
+ private def mayBeInferPartition(rawParams: Map[String, String]): Map[String,
String] = {
+ var optParams = rawParams
+ // if hoodie's partition path field is not set and incoming df's partition
is set, infer from it.
+ if
(!rawParams.containsKey(KeyGeneratorOptions.PARTITIONPATH_FIELD_NAME.key()) &&
optParams.containsKey(SPARK_DF_PARTITION_COLUMN_NAME)){
+ val partitionCols : String =
optParams.get(SPARK_DF_PARTITION_COLUMN_NAME).get
+ val partitionFieldValue : String = if (partitionCols.startsWith("[")) {
+ val parts : Array[String] = partitionCols.substring(1,
partitionCols.length-1).split(",")
+ var partitionFieldStr = ""
+ parts.foreach(part => {
+ partitionFieldStr += part.substring(1, part.length-1) + ","
+ })
+ partitionFieldStr.substring(0, partitionFieldStr.length - 1)
+ } else {
+ partitionCols
+ }
Review Comment:
lets jam on this. I am not sure if we can match an array of items. I know we
can match a group and we have to split it anyways. lets see if we can simplify
this or keep it how it is as of now.
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