object S3Steps
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- @StepObject()
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def
createFileManager(region: String, bucket: String, accessKeyId: Option[String] = None, secretAccessKey: Option[String] = None, accountId: Option[String] = None, role: Option[String] = None, partition: Option[String] = None): Option[S3FileManager]
Simple function to generate the S3FileManager for the local S3 file system.
Simple function to generate the S3FileManager for the local S3 file system.
- region
The AWS region this bucket should be accessed in
- bucket
The bucket to use for this file system.
- accessKeyId
The AWS access key to use when interacting with the S3 bucket
- secretAccessKey
The AWS secret to use when interaction with the S3 bucket
- returns
A FileManager that can interact with the specified S3 bucket.
- Annotations
- @StepFunction( ... , "Create S3 FileManager" , ... , "Pipeline" , "AWS" ) @StepParameters( ... ) @StepResults( ... , None )
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def
createFileManagerWithClient(s3Client: AmazonS3, bucket: String): Option[S3FileManager]
Simple function to generate the S3FileManager for the local S3 file system.
Simple function to generate the S3FileManager for the local S3 file system.
- s3Client
The existing AWS S3 client
- bucket
The bucket to use for this file system.
- returns
A FileManager that can interact with the specified S3 bucket.
- Annotations
- @StepFunction( ... , "Create S3 FileManager with Client" , ... , "Pipeline" , "AWS" ) @StepParameters( ... ) @StepResults( ... , None )
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def
readFromPath(path: String, accessKeyId: Option[String] = None, secretAccessKey: Option[String] = None, accountId: Option[String] = None, role: Option[String] = None, partition: Option[String] = None, options: Option[DataFrameReaderOptions] = None, pipelineContext: PipelineContext): DataFrame
- Annotations
- @StepFunction( ... , "Load DataFrame from S3 path" , ... , "Pipeline" , "AWS" ) @StepParameters( ... ) @StepResults( "org.apache.spark.sql.DataFrame" , None )
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def
readFromPaths(paths: List[String], accessKeyId: Option[String] = None, secretAccessKey: Option[String] = None, accountId: Option[String] = None, role: Option[String] = None, partition: Option[String] = None, options: Option[DataFrameReaderOptions] = None, pipelineContext: PipelineContext): DataFrame
- Annotations
- @StepFunction( ... , "Load DataFrame from S3 paths" , ... , "Pipeline" , "AWS" ) @StepParameters( ... ) @StepResults( "org.apache.spark.sql.DataFrame" , None )
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def
registerS3FileSystems(pipelineContext: PipelineContext): Unit
- Annotations
- @StepFunction( ... , "Register S3 FS Providers" , ... , "Pipeline" , "AWS" )
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def
setupS3Authentication(accessKeyId: Option[String] = None, secretAccessKey: Option[String] = None, accountId: Option[String] = None, role: Option[String] = None, partition: Option[String] = None, pipelineContext: PipelineContext): Unit
- Annotations
- @StepFunction( ... , "Setup S3 Authentication" , ... , "Pipeline" , "AWS" ) @StepParameters( ... )
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def
writeToPath(dataFrame: DataFrame, path: String, accessKeyId: Option[String] = None, secretAccessKey: Option[String] = None, accountId: Option[String] = None, role: Option[String] = None, partition: Option[String] = None, options: Option[DataFrameWriterOptions] = None, pipelineContext: PipelineContext): Unit
- Annotations
- @StepFunction( ... , "Write DataFrame to S3" , ... , "Pipeline" , "AWS" ) @StepParameters( ... )