Github user chenliang613 commented on a diff in the pull request:

    https://github.com/apache/carbondata/pull/1962#discussion_r170410120
  
    --- Diff: 
examples/spark2/src/main/scala/org/apache/carbondata/examples/DataFrameComplexTypeExample.scala
 ---
    @@ -0,0 +1,88 @@
    +/*
    + * Licensed to the Apache Software Foundation (ASF) under one or more
    + * contributor license agreements.  See the NOTICE file distributed with
    + * this work for additional information regarding copyright ownership.
    + * The ASF licenses this file to You under the Apache License, Version 2.0
    + * (the "License"); you may not use this file except in compliance with
    + * the License.  You may obtain a copy of the License at
    + *
    + *    http://www.apache.org/licenses/LICENSE-2.0
    + *
    + * Unless required by applicable law or agreed to in writing, software
    + * distributed under the License is distributed on an "AS IS" BASIS,
    + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
    + * See the License for the specific language governing permissions and
    + * limitations under the License.
    + */
    +
    +package org.apache.carbondata.examples
    +
    +import org.apache.spark.sql.SaveMode
    +
    +case class StructElement(school: Array[String], age: Int)
    +case class ComplexTypeData(id: Int, name: String, city: String, salary: 
Float, file: StructElement)
    +
    +// scalastyle:off println
    +object DataFrameComplexTypeExample {
    +
    +  def main(args: Array[String]) {
    +
    +    val spark = 
ExampleUtils.createCarbonSession("DataFrameComplexTypeExample", 4)
    +    val complexTableName = s"complex_type_table"
    +
    +    import spark.implicits._
    +
    +    // drop table if exists previously
    +    spark.sql(s"DROP TABLE IF EXISTS ${ complexTableName }")
    +    spark.sql(
    +      s"""
    +         | CREATE TABLE ${ complexTableName }(
    +         | id INT,
    +         | name STRING,
    +         | city STRING,
    +         | salary FLOAT,
    +         | file struct<school:array<string>, age:int>
    +         | )
    +         | STORED BY 'carbondata'
    +         | TBLPROPERTIES(
    +         | 'sort_columns'='name',
    +         | 'dictionary_include'='city')
    +         | """.stripMargin)
    +
    +    val sc = spark.sparkContext
    +    // generate data
    +    val df = sc.parallelize(Seq(
    +        ComplexTypeData(1, "index_1", "city_1", 10000.0f,
    +            StructElement(Array("struct_11", "struct_12"), 10)),
    +        ComplexTypeData(2, "index_2", "city_2", 20000.0f,
    +            StructElement(Array("struct_21", "struct_22"), 20)),
    +        ComplexTypeData(3, "index_3", "city_3", 30000.0f,
    +            StructElement(Array("struct_31", "struct_32"), 30))
    +      )).toDF
    +    df.printSchema()
    +    df.write
    +      .format("carbondata")
    +      .option("tableName", complexTableName)
    +      .option("single_pass", "true")
    --- End diff --
    
    why adds this option : option("single_pass", "true")  ?


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