pyspark错误:: java.io.IOException:方案:gs没有文件系统

问题描述

我正在尝试从Google存储桶中将json文件读取到本地Spark机器上的pyspark数据帧中.这是代码:

I am trying to read a json file from a google bucket into a pyspark dataframe on a local spark machine. Here's the code:

import pandas as pd
import numpy as np

from pyspark import SparkContext, SparkConf
from pyspark.sql import SparkSession, SQLContext

conf = SparkConf().setAll([('spark.executor.memory', '16g'),
                        ('spark.executor.cores','4'),
                         ('spark.cores.max','4')]).setMaster('local[*]')


spark = (SparkSession.
              builder.
              config(conf=conf).
              getOrCreate())


sc = spark.sparkContext

import glob
import bz2
import json
import pickle


bucket_path = "gs://<SOME_PATH>/"
client = storage.Client(project='<SOME_PROJECT>')
bucket = client.get_bucket ('<SOME_PATH>')
blobs = bucket.list_blobs()

theframes = []

for blob in blobs:
    print(blob.name)
    testspark = spark.read.json(bucket_path + blob.name).cache()
    theframes.append(testspark)

它正在从存储桶中读取文件正常(我可以从blob.name中看到打印内容)，但是随后崩溃，如下所示:

It's reading files from the bucket fine (I can see the print out from blob.name), but then crashes like this:

 Traceback (most recent call last):
 File "test_code.py", line 66, in <module>
   testspark = spark.read.json(bucket_path + blob.name).cache()
 File "/home/anaconda3/envs/py37base/lib/python3.6/site-packages/pyspark/sql/readwriter.py", line 274, in json
return self._df(self._jreader.json(self._spark._sc._jvm.PythonUtils.toSeq(path)))
 File "/home/anaconda3/envs/py37base/lib/python3.6/site-packages/py4j/java_gateway.py", line 1257, in __call__
answer, self.gateway_client, self.target_id, self.name)
 File "/home/anaconda3/envs/py37base/lib/python3.6/site-packages/pyspark/sql/utils.py", line 63, in deco
return f(*a, **kw)
 File "/home/anaconda3/envs/py37base/lib/python3.6/site-packages/py4j/protocol.py", line 328, in get_return_value
format(target_id, ".", name), value)
py4j.protocol.Py4JJavaError: An error occurred while calling o51.json.
: java.io.IOException: No FileSystem for scheme: gs

我已经看到了在stackoverflow上讨论过的这种类型的错误，但是当我拥有pyspark时，大多数解决方案似乎都在Scala中，并且/或者涉及到与core-site.xml混淆，而我所做的却没有任何效果.

I've seen this type of error discussed on stackoverflow, but most solutions seem to be in Scala while I have pyspark, and/or involve messing with core-site.xml, which I've done to no effect.

我正在使用spark 2.4.1和python 3.6.7.

I am using spark 2.4.1 and python 3.6.7.

我们将不胜感激！

推荐答案

需要一些配置参数才能识别"gs".作为分布式文件系统.

Some config params are required to recognize "gs" as a distributed filesystem.

将此设置用于Google云存储连接器gcs-connector-hadoop2-latest.jar

Use this setting for google cloud storage connector, gcs-connector-hadoop2-latest.jar

spark = SparkSession \
        .builder \
        .config("spark.jars", "/path/to/gcs-connector-hadoop2-latest.jar") \
        .getOrCreate()

可以从pyspark设置的其他配置

Other configs that can be set from pyspark

spark._jsc.hadoopConfiguration().set('fs.gs.impl', 'com.google.cloud.hadoop.fs.gcs.GoogleHadoopFileSystem')
# This is required if you are using service account and set true,
spark._jsc.hadoopConfiguration().set('fs.gs.auth.service.account.enable', 'ture')
spark._jsc.hadoopConfiguration().set('google.cloud.auth.service.account.json.keyfile', "/path/to/keyfile")
# Following are required if you are using oAuth
spark._jsc.hadoopConfiguration().set('fs.gs.auth.client.id', 'YOUR_OAUTH_CLIENT_ID')
spark._jsc.hadoopConfiguration().set('fs.gs.auth.client.secret', 'OAUTH_SECRET')

或者，您可以在core-site.xml或spark-defaults.conf中设置这些配置.

Alternatively you can set up these configs in core-site.xml or spark-defaults.conf.

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