如何通过pyspark读取gz压缩文件 [英] How to read gz compressed file by pyspark

问题描述

我有.gz压缩格式的行数据.我必须在pyspark中阅读 以下是代码段

I have line data in .gz compressed format. I have to read it in pyspark Following is the code snippet

rdd = sc.textFile("data/label.gz").map(func)

但是我无法成功读取以上文件.我如何读取gz压缩文件.我在此处但我当前的spark版本与该问题中的版本不同.我希望应该在hadoop中有一些内置函数.

But I could not read the above file successfully. How do I read gz compressed file. I have found a similar question here but my current version of spark is different that the version in that question. I expect there should be some built in function as in hadoop.

推荐答案

Spark文档明确指定您可以自动读取gz文件:

Spark document clearly specify that you can read gz file automatically:

Spark的所有基于文件的输入法，包括textFile，均受支持 也可以在目录，压缩文件和通配符上运行.为了 例如，您可以使用textFile("/my/directory")， textFile("/my/directory/ .txt")和textFile("/my/directory/ .gz").

All of Spark’s file-based input methods, including textFile, support running on directories, compressed files, and wildcards as well. For example, you can use textFile("/my/directory"), textFile("/my/directory/.txt"), and textFile("/my/directory/.gz").

我建议运行以下命令，然后查看结果:

I'd suggest running the following command, and see the result:

rdd = sc.textFile("data/label.gz")

print rdd.take(10)

假设spark找到文件data/label.gz，它将打印文件中的10行.

Assuming that spark finds the the file data/label.gz, it will print the 10 rows from the file.

请注意，像data/label.gz这样的文件的默认位置将在spark-user的hdfs文件夹中.在那吗?

Note, that the default location for a file like data/label.gz will be in the hdfs folder of the spark-user. Is it there?

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