在 spark 中设置 textinputformat.record.delimiter

问题描述

在 Spark 中，可以设置一些 hadoop 配置设置，例如

In Spark, it is possible to set some hadoop configuration settings like, e.g.

System.setProperty("spark.hadoop.dfs.replication", "1")

这有效，复制因子设置为 1.假设是这种情况，我认为这种模式(在常规的 hadoop 配置属性前加上spark.hadoop.")也适用于textinputformat.record.delimiter:

This works, the replication factor is set to 1.Assuming that this is the case, I thought that this pattern (prepending "spark.hadoop." to a regular hadoop configuration property), would also work for thetextinputformat.record.delimiter:

System.setProperty("spark.hadoop.textinputformat.record.delimiter", "\n\n")

然而，spark 似乎只是忽略了这个设置.我是否以正确的方式设置 textinputformat.record.delimiter ?有没有更简单的方法来设置 textinputformat.record.delimiter.我想避免编写自己的 InputFormat，因为我真的只需要获取由两个换行符分隔的记录.

However, it seems that spark just ignores this setting.Do I set the textinputformat.record.delimiter in the correct way?Is there a simpler way of setting the textinputformat.record.delimiter. I would like to avoid writing my own InputFormat, since I really only need to obtain records delimited by two newlines.

推荐答案

我使用以下函数处理普通未压缩文件.

I got this working with plain uncompressed files with the below function.

import org.apache.hadoop.io.LongWritable
import org.apache.hadoop.io.Text
import org.apache.hadoop.conf.Configuration
import org.apache.hadoop.mapreduce.lib.input.TextInputFormat

def nlFile(path: String) = {
    val conf = new Configuration
    conf.set("textinputformat.record.delimiter", "\n")
    sc.newAPIHadoopFile(path, classOf[TextInputFormat], classOf[LongWritable], classOf[Text], conf)
      .map(_._2.toString)
}

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