如何从 Java 调用此函数?或者我需要一个 scala 包装器吗?
package com.datastax.spark.connector
class DataFrameFunctions(dataFrame: DataFrame) extends Serializable {
...
def createCassandraTable(
keyspaceName: String,
tableName: String,
partitionKeyColumns: Option[Seq[String]] = None,
clusteringKeyColumns: Option[Seq[String]] = None)(
implicit
connector: CassandraConnector = CassandraConnector(sparkContext.getConf)): Unit = {
...
最佳答案
我使用了以下代码:
DataFrameFunctions frameFunctions = new DataFrameFunctions(dfTemp2);
Seq<String> argumentsSeq1 = JavaConversions.asScalaBuffer(Arrays.asList("CategoryName")).seq();
Option<Seq<String>> some1 = new Some<Seq<String>>(argumentsSeq1);
Seq<String> argumentsSeq2 = JavaConversions.asScalaBuffer(Arrays.asList("DealType")).seq();
Option<Seq<String>> some2 = new Some<Seq<String>>(argumentsSeq2);
frameFunctions.createCassandraTable("coupons", "IdealFeeds", some1, some2, connector);
关于java - 如何从Java调用DataFrameFunctions.createCassandraTable?,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/39299108/