【发布时间】:2021-07-07 14:03:00
【问题描述】:
我正在尝试创建一个数据管道,我从 REST API 请求数据。输出是一个嵌套的 json 文件,非常棒。我想将 json 文件读入 pyspark 数据框。当我在本地保存文件并使用以下代码时,这工作正常:
from pyspark.sql import *
from pyspark.sql.functions import *
spark = SparkSession\
.builder\
.appName("jsontest")\
.getOrCreate()
raw_df = spark.read.json(r"my_json_path", multiLine='true')
但是,当我想在发出 API 请求后直接创建一个 pyspark 数据帧时,我收到以下错误:
我使用以下代码来调用 rest api 并转换为 pyspark 数据帧:
apiCallHeaders = {'Authorization': 'Bearer ' + bearer_token}
apiCallResponse = requests.get(data_url, headers=apiCallHeaders, verify=True)
json_rdd = spark.sparkContext.parallelize(apiCallResponse.text)
raw_df = spark.read.json(json_rdd)
以下是部分响应输出
{"networks":[{"href":"/v2/networks/velobike-moscow","id":"velobike-moscow","name":"Velobike"},{"href":"/v2/networks/bycyklen","id":"bycyklen","name":"Bycyklen"},{"href":"/v2/networks/nu-connect","id":"nu-connect","name":"Nu-Connect"},{"href":"/v2/networks/baerum-bysykkel","id":"baerum-bysykkel","name":"Bysykkel"},{"href":"/v2/networks/bysykkelen","id":"bysykkelen","name":"Bysykkelen"},{"href":"/v2/networks/onroll-a-rua","id":"onroll-a-rua","name":"Onroll"},{"href":"/v2/networks/onroll-albacete","id":"onroll-albacete","name":"Onroll"},{"href":"/v2/networks/onroll-alhama-de-murcia","id":"onroll-alhama-de-murcia","name":"Onroll"},{"href":"/v2/networks/onroll-almunecar","id":"onroll-almunecar","name":"Onroll"},{"href":"/v2/networks/onroll-antequera","id":"onroll-antequera","name":"Onroll"},{"href":"/v2/networks/onroll-aranda-de-duero","id":"onroll-aranda-de-duero","name":"Onroll"}
我希望我的问题是有意义的,有人可以提供帮助。
提前致谢!
【问题讨论】:
-
用你的 API 响应更新你的问题,而不是我的例子,请写成文本
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我无法分享我的回复输出,因为它是敏感数据。但是我尝试了你的 API,我得到了同样的错误。这可能与我安装 spark 的方式有关吗?
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@Kafels,是的,它可能与安装有关。我应该重新安装吗?
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重装前试试this
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非常感谢@Kafels!!!!它奏效了……祝你玩得愉快,伙计:)
标签: python apache-spark pyspark apache-spark-sql data-pipeline