Python 在使用Presto jar加载pyspark shell时无法使用pyspark的S3功能
我想使用presto并能够将文件上传到s3。在以Python 在使用Presto jar加载pyspark shell时无法使用pyspark的S3功能,python,python-3.x,apache-spark,pyspark,presto,Python,Python 3.x,Apache Spark,Pyspark,Presto,我想使用presto并能够将文件上传到s3。在以pyspark命令开始的普通shell中，我可以很容易地做到这一点，但是当我用pyspark shell加载presto jar时，我会遇到ClassNotFoundError 我在两个shell中运行的代码是： data = {'visitor': ['foo', 'bar', 'jelmer'], 'A': [0, 1, 0], 'B': [1, 0, 1], 'C': [1, 0, 0]} import pandas as pd df = p
pysparkdata = {'visitor': ['foo', 'bar', 'jelmer'], 'A': [0, 1, 0], 'B': [1, 0, 1], 'C': [1, 0, 0]}
import pandas as pd
df = pd.DataFrame(data)
ddf = spark.createDataFrame(df)
ddf.write.csv("s3://my_bucket/test_with_no_keys_with_presto_jar")
pysparkpyspark--driver class path com.facebook.presto.jdbc.PrestoDriver--jars presto-jdbc-0.221.jar>>> ddf.write.csv("s3://demo-atlan-lake/test_with_no_keys_with_presto_jar")
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/usr/lib/spark/python/pyspark/sql/readwriter.py", line 927, in csv
self._jwrite.csv(path)
File "/usr/lib/spark/python/lib/py4j-0.10.7-src.zip/py4j/java_gateway.py", line 1257, in __call__
File "/usr/lib/spark/python/pyspark/sql/utils.py", line 63, in deco
return f(*a, **kw)
File "/usr/lib/spark/python/lib/py4j-0.10.7-src.zip/py4j/protocol.py", line 328, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling o84.csv.
: java.lang.RuntimeException: java.lang.ClassNotFoundException: Class com.amazon.ws.emr.hadoop.fs.EmrFileSystem not found
at org.apache.hadoop.conf.Configuration.getClass(Configuration.java:2369)
at org.apache.hadoop.fs.FileSystem.getFileSystemClass(FileSystem.java:2840)
at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:2857)
at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:99)
at org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:2896)
at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:2878)
at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:392)
at org.apache.hadoop.fs.Path.getFileSystem(Path.java:356)
at org.apache.spark.sql.execution.datasources.DataSource.planForWritingFileFormat(DataSource.scala:424)
at org.apache.spark.sql.execution.datasources.DataSource.planForWriting(DataSource.scala:524)
at org.apache.spark.sql.DataFrameWriter.saveToV1Source(DataFrameWriter.scala:290)
at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:271)
at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:229)
at org.apache.spark.sql.DataFrameWriter.csv(DataFrameWriter.scala:664)
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)
Caused by: java.lang.ClassNotFoundException: Class com.amazon.ws.emr.hadoop.fs.EmrFileSystem not found
at org.apache.hadoop.conf.Configuration.getClassByName(Configuration.java:2273)
at org.apache.hadoop.conf.Configuration.getClass(Configuration.java:2367)
... 24 more
spark.driver.extraClassPath :/usr/lib/hadoop-lzo/lib/*:/usr/lib/hadoop/hadoop-aws.jar:/usr/share/aws/aws-java-sdk/*:/usr/share/aws/emr/emrfs/conf:/usr/share/aws/emr/emrfs/lib/*:/usr/share/aws/emr/emrfs/auxlib/*:/usr/share/aws/emr/goodies/lib/emr-spark-goodies.jar:/usr/share/aws/emr/security/conf:/usr/share/aws/emr/security/lib/*:/usr/share/aws/hmclient/lib/aws-glue-datacatalog-spark-client.jar:/usr/share/java/Hive-JSON-Serde/hive-openx-serde.jar:/usr/share/aws/sagemaker-spark-sdk/lib/sagemaker-spark-sdk.jar:/usr/share/aws/emr/s3select/lib/emr-s3-select-spark-connector.jar:/home/hadoop/presto-jdbc-0.221.jar
spark.driver.extraLibraryPath /usr/lib/hadoop/lib/native:/usr/lib/hadoop-lzo/lib/native
spark.executor.extraClassPath :/usr/lib/hadoop-lzo/lib/*:/usr/lib/hadoop/hadoop-aws.jar:/usr/share/aws/aws-java-sdk/*:/usr/share/aws/emr/emrfs/conf:/usr/share/aws/emr/emrfs/lib/*:/usr/share/aws/emr/emrfs/auxlib/*:/usr/share/aws/emr/goodies/lib/emr-spark-goodies.jar:/usr/share/aws/emr/security/conf:/usr/share/aws/emr/security/lib/*:/usr/share/aws/hmclient/lib/aws-glue-datacatalog-spark-client.jar:/usr/share/java/Hive-JSON-Serde/hive-openx-serde.jar:/usr/share/aws/sagemaker-spark-sdk/lib/sagemaker-spark-sdk.jar:/usr/share/aws/emr/s3select/lib/emr-s3-select-spark-connector.jar
spark.executor.extraLibraryPath /usr/lib/hadoop/lib/native:/usr/lib/hadoop-lzo/lib/native
spark.eventLog.enabled true
spark.eventLog.dir hdfs:///var/log/spark/apps
spark.history.fs.logDirectory hdfs:///var/log/spark/apps
spark.sql.warehouse.dir hdfs:///user/spark/warehouse
spark.sql.hive.metastore.sharedPrefixes com.amazonaws.services.dynamodbv2
spark.yarn.historyServer.address ip-172-16-14-54.ap-south-1.compute.internal:18080
spark.history.ui.port 18080
spark.shuffle.service.enabled true
spark.driver.extraJavaOptions -XX:+UseConcMarkSweepGC -XX:CMSInitiatingOccupancyFraction=70 -XX:MaxHeapFreeRatio=70 -XX:+CMSClassUnloadingEnabled -XX:OnOutOfMemoryError='kill -9 %p'
spark.dynamicAllocation.enabled true
spark.blacklist.decommissioning.enabled true
spark.blacklist.decommissioning.timeout 1h
spark.resourceManager.cleanupExpiredHost true
spark.stage.attempt.ignoreOnDecommissionFetchFailure true
spark.decommissioning.timeout.threshold 20
spark.executor.extraJavaOptions -verbose:gc -XX:+PrintGCDetails -XX:+PrintGCDateStamps -XX:+UseConcMarkSweepGC -XX:CMSInitiatingOccupancyFraction=70 -XX:MaxHeapFreeRatio=70 -XX:+CMSClassUnloadingEnabled -XX:OnOutOfMemoryError='kill -9 %p'
spark.hadoop.yarn.timeline-service.enabled false
spark.yarn.appMasterEnv.SPARK_PUBLIC_DNS $(hostname -f)
spark.files.fetchFailure.unRegisterOutputOnHost true
spark.hadoop.mapreduce.fileoutputcommitter.algorithm.version.emr_internal_use_only.EmrFileSystem 2
spark.hadoop.mapreduce.fileoutputcommitter.cleanup-failures.ignored.emr_internal_use_only.EmrFileSystem true
spark.sql.parquet.output.committer.class com.amazon.emr.committer.EmrOptimizedSparkSqlParquetOutputCommitter
spark.sql.parquet.fs.optimized.committer.optimization-enabled true
spark.sql.emr.internal.extensions com.amazonaws.emr.spark.EmrSparkSessionExtensions
spark.executor.memory 4269M
spark.executor.cores 4
spark.yarn.executor.memoryOverheadFactor 0.1875
spark.driver.extraClassPath :/usr/lib/hadoop-lzo/lib/*:/usr/lib/hadoop/hadoop-aws.jar:/usr/share/aws/aws-java-sdk/*:/usr/share/aws/emr/emrfs/conf:/usr/share/aws/emr/emrfs/lib/*:/usr/share/aws/emr/emrfs/auxlib/*:/usr/share/aws/emr/goodies/lib/emr-spark-goodies.jar:/usr/share/aws/emr/security/conf:/usr/share/aws/emr/security/lib/*:/usr/share/aws/hmclient/lib/aws-glue-datacatalog-spark-client.jar:/usr/share/java/Hive-JSON-Serde/hive-openx-serde.jar:/usr/share/aws/sagemaker-spark-sdk/lib/sagemaker-spark-sdk.jar:/usr/share/aws/emr/s3select/lib/emr-s3-select-spark-connector.jar:/home/hadoop/presto-jdbc-0.221.jar
spark.driver.extraLibraryPath /usr/lib/hadoop/lib/native:/usr/lib/hadoop-lzo/lib/native
spark.executor.extraClassPath :/usr/lib/hadoop-lzo/lib/*:/usr/lib/hadoop/hadoop-aws.jar:/usr/share/aws/aws-java-sdk/*:/usr/share/aws/emr/emrfs/conf:/usr/share/aws/emr/emrfs/lib/*:/usr/share/aws/emr/emrfs/auxlib/*:/usr/share/aws/emr/goodies/lib/emr-spark-goodies.jar:/usr/share/aws/emr/security/conf:/usr/share/aws/emr/security/lib/*:/usr/share/aws/hmclient/lib/aws-glue-datacatalog-spark-client.jar:/usr/share/java/Hive-JSON-Serde/hive-openx-serde.jar:/usr/share/aws/sagemaker-spark-sdk/lib/sagemaker-spark-sdk.jar:/usr/share/aws/emr/s3select/lib/emr-s3-select-spark-connector.jar
spark.executor.extraLibraryPath /usr/lib/hadoop/lib/native:/usr/lib/hadoop-lzo/lib/native
spark.eventLog.enabled true
spark.eventLog.dir hdfs:///var/log/spark/apps
spark.history.fs.logDirectory hdfs:///var/log/spark/apps
spark.sql.warehouse.dir hdfs:///user/spark/warehouse
spark.sql.hive.metastore.sharedPrefixes com.amazonaws.services.dynamodbv2
spark.yarn.historyServer.address ip-172-16-14-54.ap-south-1.compute.internal:18080
spark.history.ui.port 18080
spark.shuffle.service.enabled true
spark.driver.extraJavaOptions -XX:+UseConcMarkSweepGC -XX:CMSInitiatingOccupancyFraction=70 -XX:MaxHeapFreeRatio=70 -XX:+CMSClassUnloadingEnabled -XX:OnOutOfMemoryError='kill -9 %p'
spark.dynamicAllocation.enabled true
spark.blacklist.decommissioning.enabled true
spark.blacklist.decommissioning.timeout 1h
spark.resourceManager.cleanupExpiredHost true
spark.stage.attempt.ignoreOnDecommissionFetchFailure true
spark.decommissioning.timeout.threshold 20
spark.executor.extraJavaOptions -verbose:gc -XX:+PrintGCDetails -XX:+PrintGCDateStamps -XX:+UseConcMarkSweepGC -XX:CMSInitiatingOccupancyFraction=70 -XX:MaxHeapFreeRatio=70 -XX:+CMSClassUnloadingEnabled -XX:OnOutOfMemoryError='kill -9 %p'
spark.hadoop.yarn.timeline-service.enabled false
spark.yarn.appMasterEnv.SPARK_PUBLIC_DNS $(hostname -f)
spark.files.fetchFailure.unRegisterOutputOnHost true
spark.hadoop.mapreduce.fileoutputcommitter.algorithm.version.emr_internal_use_only.EmrFileSystem 2
spark.hadoop.mapreduce.fileoutputcommitter.cleanup-failures.ignored.emr_internal_use_only.EmrFileSystem true
spark.sql.parquet.output.committer.class com.amazon.emr.committer.EmrOptimizedSparkSqlParquetOutputCommitter
spark.sql.parquet.fs.optimized.committer.optimization-enabled true
spark.sql.emr.internal.extensions com.amazonaws.emr.spark.EmrSparkSessionExtensions
spark.executor.memory 4269M
spark.executor.cores 4
spark.yarn.executor.memoryOverheadFactor 0.1875