[GitHub] [hudi] jonashartwig commented on issue #2661: [SUPPORT] Hive 3 partitions

[GitBox <gi...@apache.org>]

jonashartwig commented on issue #2661:
URL: https://github.com/apache/hudi/issues/2661#issuecomment-797434562


   I checked the config section again. There is a property to set to create proper hive partitions. Here is the fixed code:
   
   ```scala
   import org.apache.spark.sql.Row
   val rdd = spark.sparkContext.parallelize(List(Row(1, "a")))
   import org.apache.spark.sql.types._
   val df = spark.createDataFrame(rdd, StructType(List(StructField("int", IntegerType), StructField("string", StringType))))
   
   import org.apache.hudi.QuickstartUtils._
   import scala.collection.JavaConversions._
   import org.apache.spark.sql.SaveMode._
   import org.apache.hudi.DataSourceReadOptions._
   import org.apache.hudi.DataSourceWriteOptions._
   import org.apache.hudi.config.HoodieWriteConfig._
   df.write.format("hudi").partitionBy("int").mode(Overwrite).option(HIVE_STYLE_PARTITIONING_OPT_KEY, "true").option(TABLE_NAME, "hudi").option(PRECOMBINE_FIELD_OPT_KEY, "int").option(RECORDKEY_FIELD_OPT_KEY, "int").option(PARTITIONPATH_FIELD_OPT_KEY, "int").save("/data/test/swe/base/hudi/hudi")
   ```


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