本文整理了Java中org.apache.spark.sql.DataFrameWriter.orc()方法的一些代码示例，展示了DataFrameWriter.orc()的具体用法。这些代码示例主要来源于Github/Stackoverflow/Maven等平台，是从一些精选项目中提取出来的代码，具有较强的参考意义，能在一定程度帮忙到你。DataFrameWriter.orc()方法的具体详情如下：
包路径：org.apache.spark.sql.DataFrameWriter
类名称：DataFrameWriter
方法名：orc

DataFrameWriter.orc介绍

暂无

代码示例

代码示例来源：origin: org.apache.spark/spark-sql_2.11

/**
  * This only tests whether API compiles, but does not run it as orc()
  * cannot be run without Hive classes.
  */
 public void testOrcAPI() {
  spark.read().schema(schema).orc();
  spark.read().schema(schema).orc(input);
  spark.read().schema(schema).orc(input, input, input);
  spark.read().schema(schema).orc(new String[]{input, input})
    .write().orc(output);
 }
}

代码示例来源：origin: org.apache.spark/spark-sql_2.10

/**
  * This only tests whether API compiles, but does not run it as orc()
  * cannot be run without Hive classes.
  */
 public void testOrcAPI() {
  spark.read().schema(schema).orc();
  spark.read().schema(schema).orc(input);
  spark.read().schema(schema).orc(input, input, input);
  spark.read().schema(schema).orc(new String[]{input, input})
    .write().orc(output);
 }
}

代码示例来源：origin: org.apache.spark/spark-sql

/**
  * This only tests whether API compiles, but does not run it as orc()
  * cannot be run without Hive classes.
  */
 public void testOrcAPI() {
  spark.read().schema(schema).orc();
  spark.read().schema(schema).orc(input);
  spark.read().schema(schema).orc(input, input, input);
  spark.read().schema(schema).orc(new String[]{input, input})
    .write().orc(output);
 }
}