pyspark.SparkContext.addFile¶

SparkContext.addFile(path: str, recursive: bool = False) → None¶

Add a file to be downloaded with this Spark job on every node. The path passed can be either a local file, a file in HDFS (or other Hadoop-supported filesystems), or an HTTP, HTTPS or FTP URI.

To access the file in Spark jobs, use SparkFiles.get() with the filename to find its download location.

A directory can be given if the recursive option is set to True. Currently directories are only supported for Hadoop-supported filesystems.

Notes

A path can be added only once. Subsequent additions of the same path are ignored.

Examples

>>> from pyspark import SparkFiles
>>> path = os.path.join(tempdir, "test.txt")
>>> with open(path, "w") as testFile:
...    _ = testFile.write("100")
>>> sc.addFile(path)
>>> def func(iterator):
...    with open(SparkFiles.get("test.txt")) as testFile:
...        fileVal = int(testFile.readline())
...        return [x * fileVal for x in iterator]
>>> sc.parallelize([1, 2, 3, 4]).mapPartitions(func).collect()
[100, 200, 300, 400]

pyspark.SparkContext.addArchive

pyspark.SparkContext.addPyFile