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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