【发布时间】：2021-04-01 17:20:10
【问题描述】：
我有一些文件存储在谷歌存储桶中。这些是我建议的here 的设置。
spark = SparkSession.builder.\
master("local[*]").\
appName("TestApp").\
config("spark.serializer", KryoSerializer.getName).\
config("spark.jars", "/usr/local/.sdkman/candidates/spark/2.4.4/jars/gcs-connector-hadoop2-2.1.1.jar").\
config("spark.kryo.registrator", GeoSparkKryoRegistrator.getName).\
getOrCreate()
#Recommended settings for using GeoSpark
spark.conf.set("spark.driver.memory", 6)
spark.conf.set("spark.network.timeout", 1000)
#spark.conf.set("spark.driver.maxResultSize", 5)
spark.conf.set
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', 'false')
spark._jsc.hadoopConfiguration().set('google.cloud.auth.service.account.json.keyfile', "myJson.json")
path = 'mBucket-c892b51f8579.json'
os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = path
client = storage.Client()
name = 'https://console.cloud.google.com/storage/browser/myBucket/'
bucket_id = 'myBucket'
bucket = client.get_bucket(bucket_id)
我可以使用以下内容简单地阅读它们：
df = pd.read_csv('gs://myBucket/myFile.csv.gz', compression='gzip')
df.head()
time_zone_name province_short
0 America/Chicago US.TX
1 America/Chicago US.TX
2 America/Los_Angeles US.CA
3 America/Chicago US.TX
4 America/Los_Angeles US.CA
我正在尝试使用 pyspark 读取相同的文件
myTable = spark.read.format("csv").schema(schema).load('gs://myBucket/myFile.csv.gz', compression='gzip')
但我收到以下错误
Py4JJavaError: An error occurred while calling o257.load.
: java.lang.NoClassDefFoundError: Could not initialize class com.google.cloud.hadoop.fs.gcs.GoogleHadoopFileSystem
at java.lang.Class.forName0(Native Method)
at java.lang.Class.forName(Class.java:348)
at org.apache.hadoop.conf.Configuration.getClassByNameOrNull(Configuration.java:2134)
at org.apache.hadoop.conf.Configuration.getClassByName(Configuration.java:2099)
at org.apache.hadoop.conf.Configuration.getClass(Configuration.java:2193)
at org.apache.hadoop.fs.FileSystem.getFileSystemClass(FileSystem.java:2654)
at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:2667)
at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:94)
at org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:2703)
at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:2685)
at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:373)
at org.apache.hadoop.fs.Path.getFileSystem(Path.java:295)
at org.apache.spark.sql.execution.streaming.FileStreamSink$.hasMetadata(FileStreamSink.scala:45)
at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:332)
at org.apache.spark.sql.DataFrameReader.loadV1Source(DataFrameReader.scala:223)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:211)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:178)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
at py4j.Gateway.invoke(Gateway.java:282)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:238)
at java.lang.Thread.run(Thread.java:748)
【问题讨论】：
-
@user10938362 这有点复杂。你有什么建议或一些代码要分享吗？
-
对于测试，如果您在本地有文件，这是否有效？看起来它可能与从 URL 获取它有关，可能会出现身份验证问题。在本地驱动器上尝试 myFile.csv.gz
-
@user10938362 你说的答案并没有解决问题
-
您似乎缺少连接器。尝试按照here 中的步骤操作。确保下载的
jar文件包含com.google.cloud.hadoop.fs.gcs.GoogleHadoopFileSystem类文件。
标签： python apache-spark google-cloud-platform pyspark