相同的代码在具有相同 jar 文件的 Linux Ubuntu 上运行良好。我的 spark 是 3.1.2,hadoop 是 3.2。我已经尝试了 maven 的每个 gcs 连接器版本。
val = df.write.format('bigquery') \ #df is a spark.dataframe
.mode(mode) \
.option("credentialsFile", "creds.json") \
.option('table', table) \
.option("temporaryGcsBucket", bucket) \
.save()
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
21/09/17 07:41:50 WARN FileSystem: Cannot load filesystem: java.util.ServiceConfigurationError: org.apache.hadoop.fs.FileSystem: Provider com.google.cloud.hadoop.fs.gcs.GoogleHadoopFileSystem could not be instantiated
21/09/17 07:41:50 WARN FileSystem: java.lang.NoSuchMethodError: com.google.common.base.Preconditions.checkState(ZLjava/lang/String;J)V
21/09/17 07:41:50 WARN FileSystem: Cannot load filesystem: java.util.ServiceConfigurationError: org.apache.hadoop.fs.FileSystem: Provider com.google.cloud.hadoop.fs.gcs.GoogleHadoopFileSystem could not be instantiated
21/09/17 07:41:50 WARN FileSystem: java.lang.NoClassDefFoundError: Could not initialize class com.google.cloud.hadoop.fs.gcs.GoogleHadoopFileSystem
Traceback (most recent call last):
File "c:\sparktest\main.py", line 158, in <module>
val = df.write.format('bigquery') \
File "c:\sparktest\vnenv\lib\site-packages\pyspark\sql\readwriter.py", line 828, in save
self._jwrite.save()
File "c:\sparktest\vnenv\lib\site-packages\py4j\java_gateway.py", line 1304, in __call__
return_value = get_return_value(
File "c:\sparktest\vnenv\lib\site-packages\pyspark\sql\utils.py", line 128, in deco
return f(*a, **kw)
File "c:\sparktest\vnenv\lib\site-packages\py4j\protocol.py", line 326, in get_return_value
raise Py4JJavaError(
py4j.protocol.Py4JJavaError: An error occurred while calling o50.save.
: java.lang.NoClassDefFoundError: Could not initialize class com.google.cloud.hadoop.fs.gcs.GoogleHadoopFileSystem