nsivabalan commented on issue #5233:
URL: https://github.com/apache/hudi/issues/5233#issuecomment-1125413411

   I could not reproduce. I used our quick start to try this out 
   
   ```
   
   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._
   
   val tableName = "hudi_trips_cow"
   val basePath = "file:///tmp/hudi_trips_cow"
   val dataGen = new DataGenerator
   
   // spark-shell
   val inserts = convertToStringList(dataGen.generateInserts(10))
   val df = spark.read.json(spark.sparkContext.parallelize(inserts, 2))
   df.write.format("hudi").
     options(getQuickstartWriteConfigs).
     option(PRECOMBINE_FIELD_OPT_KEY, "ts").
     option(RECORDKEY_FIELD_OPT_KEY, "uuid").
     option(PARTITIONPATH_FIELD_OPT_KEY, "partitionpath").
     option(TABLE_NAME, tableName).
     mode(Overwrite).
     save(basePath)
   
   
   
     val tripsSnapshotDF = spark.
     read.
     format("hudi").
     load(basePath)
   tripsSnapshotDF.createOrReplaceTempView("hudi_trips_snapshot")
   
   spark.sql("select fare, begin_lon, begin_lat, ts from  hudi_trips_snapshot 
where fare > 20.0").show()
   
   spark.sql("select count(*) from hudi_trips_snapshot").show
   
   
   val updates = convertToStringList(dataGen.generateUpdates(5))
   val df = spark.read.json(spark.sparkContext.parallelize(updates, 2))
   
   import org.apache.spark.sql.types.DataTypes;
   
   val df1 = df.withColumn("_hoodie_is_deleted", 
org.apache.spark.sql.functions.lit(true).cast(DataTypes.BooleanType))
   import org.apache.spark.sql.types.StructType;
   import org.apache.spark.sql.types.StructField;
   
   val schema = StructType( Seq (
        |     StructField( "begin_lat", DoubleType, true),
        |     StructField( "begin_lon", DoubleType, true),
        |     StructField( "driver", StringType, true),
        |     StructField( "end_lat", DoubleType, true),
        |     StructField( "end_lon", DoubleType, true),
        |     StructField( "fare", DoubleType, true),
        |     StructField( "partitionpath", StringType, true),
        |     StructField( "rider", StringType, true),
        |     StructField( "ts", LongType, true),
        |     StructField( "uuid", StringType, true),
        |     StructField( "_hoodie_is_deleted", BooleanType, true)
        |   ))
   
   
   
   val df2 = spark.sqlContext.createDataFrame(df1.rdd, schema)
   df2.printSchema
   // ensure hoodie_is_deleted is nullable
   
   df2.write.format("hudi").
     options(getQuickstartWriteConfigs).
     option(PRECOMBINE_FIELD_OPT_KEY, "ts").
     option(RECORDKEY_FIELD_OPT_KEY, "uuid").
     option(PARTITIONPATH_FIELD_OPT_KEY, "partitionpath").
     option(TABLE_NAME, tableName).
     mode(Append).
     save(basePath)
   
   
     val tripsSnapshotDF = spark.
     read.
     format("hudi").
     load(basePath)
   tripsSnapshotDF.createOrReplaceTempView("hudi_trips_snapshot")
   
   spark.sql("select fare, begin_lon, begin_lat, ts, _hoodie_is_deleted from  
hudi_trips_snapshot where fare > 20.0").show()
   
   spark.sql("select count(*) from hudi_trips_snapshot").show
   
   ```


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