（apache spark新手）
我试着创建一个小的scala spark应用程序，它可以读取excel文件并将数据插入数据库，但是我有一些错误，这些错误是由于库的版本不同而发生的（我想）。

Scala v2.12 
Spark v3.0 
Spark-Excel v0.13.1

maven配置为：

<dependencies>
            <dependency>
                <groupId>org.apache.spark</groupId>
                <artifactId>spark-core_2.12</artifactId>
                <version>3.0.0</version>
            </dependency>
            <dependency>
                <groupId>org.apache.spark</groupId>
                <artifactId>spark-sql_2.12</artifactId>
                <version>3.0.0</version>
            </dependency>
            <!-- https://mvnrepository.com/artifact/com.crealytics/spark-excel -->
            <dependency>
                <groupId>com.crealytics</groupId>
                <artifactId>spark-excel_2.12</artifactId>
                <version>0.13.1</version>
            </dependency>
            <!-- https://mvnrepository.com/artifact/com.fasterxml.jackson.core/jackson-core -->
            <dependency>
                <groupId>com.fasterxml.jackson.core</groupId>
                <artifactId>jackson-core</artifactId>
                <version>2.11.1</version>
            </dependency>
        </dependencies>

main.scala公司

val spark = SparkSession
            .builder
            .appName("SparkApp")
            .master("local[*]")
            .config("spark.sql.warehouse.dir", "file:///C:/temp") // Necessary to work around a Windows bug in Spark 2.0.0; omit if you're not on Windows.
        .getOrCreate()

        val path = "file_path"
        val excel = spark.read
          .format("com.crealytics.spark.excel")
          .option("useHeader", "true")
          .option("treatEmptyValuesAsNulls", "false")
          .option("inferSchema", "false")
          .option("location", path)
          .option("addColorColumns", "false")
          .load()

        println(s"excel count is ${excel.count}")

错误是：

Exception in thread "main" scala.MatchError: Map(treatemptyvaluesasnulls -> false, location -> file_path, useheader -> true, inferschema -> false, addcolorcolumns -> false) (of class org.apache.spark.sql.catalyst.util.CaseInsensitiveMap) 
    at com.crealytics.spark.excel.WorkbookReader$.apply(WorkbookReader.scala:38) 
    at com.crealytics.spark.excel.DefaultSource.createRelation(DefaultSource.scala:28) 
    at com.crealytics.spark.excel.DefaultSource.createRelation(DefaultSource.scala:18) 
    at com.crealytics.spark.excel.DefaultSource.createRelation(DefaultSource.scala:12) 
    at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:339) 
    at org.apache.spark.sql.DataFrameReader.loadV1Source(DataFrameReader.scala:279) 
    at org.apache.spark.sql.DataFrameReader.$anonfun$load$2(DataFrameReader.scala:268) 
    at scala.Option.getOrElse(Option.scala:189)     at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:268) 
    at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:203) 
    at main.scala.Main$.main(Main.scala:42) 
    at main.scala.Main.main(Main.scala)

这只发生在我尝试读取excel文件时，因为我使用spark excel库。csv或tsv工作正常。