PySparkNotebookBatch(mapping=None, *, ignore_unknown_fields=False, **kwargs)A configuration for running a PySpark Notebook batch workload.
Attributes |
|
|---|---|
| Name | Description |
notebook_file_uri |
str
Required. The HCFS URI of the notebook file to execute. |
params |
MutableMapping[str, str]
Optional. The parameters to pass to the notebook. |
python_file_uris |
MutableSequence[str]
Optional. HCFS URIs of Python files to pass to the PySpark framework. |
jar_file_uris |
MutableSequence[str]
Optional. HCFS URIs of jar files to be added to the Spark CLASSPATH. |
file_uris |
MutableSequence[str]
Optional. HCFS URIs of files to be placed in the working directory of each executor |
archive_uris |
MutableSequence[str]
Optional. HCFS URIs of archives to be extracted into the working directory of each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.
|
Classes
ParamsEntry
ParamsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)The abstract base class for a message.
| Parameters | |
|---|---|
| Name | Description |
kwargs |
dict
Keys and values corresponding to the fields of the message. |
mapping |
Union[dict,
A dictionary or message to be used to determine the values for this message. |
ignore_unknown_fields |
Optional(bool)
If True, do not raise errors for unknown fields. Only applied if |