# coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may cause incorrect behavior and will be lost if the code is regenerated.
# --------------------------------------------------------------------------
from typing import TYPE_CHECKING
from azure.core import PipelineClient
from msrest import Deserializer, Serializer
if TYPE_CHECKING:
# pylint: disable=unused-import,ungrouped-imports
from typing import Any
from azure.core.credentials import TokenCredential
from azure.core.pipeline.transport import HttpRequest, HttpResponse
from ._configuration import SparkClientConfiguration
from .operations import SparkBatchOperations
from .operations import SparkSessionOperations
from . import models
[docs]class SparkClient(object):
"""SparkClient.
:ivar spark_batch: SparkBatchOperations operations
:vartype spark_batch: azure.synapse.spark.operations.SparkBatchOperations
:ivar spark_session: SparkSessionOperations operations
:vartype spark_session: azure.synapse.spark.operations.SparkSessionOperations
:param credential: Credential needed for the client to connect to Azure.
:type credential: ~azure.core.credentials.TokenCredential
:param endpoint: The workspace development endpoint, for example https://myworkspace.dev.azuresynapse.net.
:type endpoint: str
:param spark_pool_name: Name of the spark pool.
:type spark_pool_name: str
:param livy_api_version: Valid api-version for the request.
:type livy_api_version: str
"""
def __init__(
self,
credential, # type: "TokenCredential"
endpoint, # type: str
spark_pool_name, # type: str
livy_api_version="2019-11-01-preview", # type: str
**kwargs # type: Any
):
# type: (...) -> None
base_url = '{endpoint}/livyApi/versions/{livyApiVersion}/sparkPools/{sparkPoolName}'
self._config = SparkClientConfiguration(credential, endpoint, spark_pool_name, livy_api_version, **kwargs)
self._client = PipelineClient(base_url=base_url, config=self._config, **kwargs)
client_models = {k: v for k, v in models.__dict__.items() if isinstance(v, type)}
self._serialize = Serializer(client_models)
self._serialize.client_side_validation = False
self._deserialize = Deserializer(client_models)
self.spark_batch = SparkBatchOperations(
self._client, self._config, self._serialize, self._deserialize)
self.spark_session = SparkSessionOperations(
self._client, self._config, self._serialize, self._deserialize)
def _send_request(self, http_request, **kwargs):
# type: (HttpRequest, Any) -> HttpResponse
"""Runs the network request through the client's chained policies.
:param http_request: The network request you want to make. Required.
:type http_request: ~azure.core.pipeline.transport.HttpRequest
:keyword bool stream: Whether the response payload will be streamed. Defaults to True.
:return: The response of your network call. Does not do error handling on your response.
:rtype: ~azure.core.pipeline.transport.HttpResponse
"""
path_format_arguments = {
'endpoint': self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
'livyApiVersion': self._serialize.url("self._config.livy_api_version", self._config.livy_api_version, 'str', skip_quote=True),
'sparkPoolName': self._serialize.url("self._config.spark_pool_name", self._config.spark_pool_name, 'str', skip_quote=True),
}
http_request.url = self._client.format_url(http_request.url, **path_format_arguments)
stream = kwargs.pop("stream", True)
pipeline_response = self._client._pipeline.run(http_request, stream=stream, **kwargs)
return pipeline_response.http_response
[docs] def close(self):
# type: () -> None
self._client.close()
def __enter__(self):
# type: () -> SparkClient
self._client.__enter__()
return self
def __exit__(self, *exc_details):
# type: (Any) -> None
self._client.__exit__(*exc_details)