Source code for azure.synapse.spark.aio._spark_client

# 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 Any, TYPE_CHECKING

from azure.core import AsyncPipelineClient
from azure.core.pipeline.transport import AsyncHttpResponse, HttpRequest
from msrest import Deserializer, Serializer

if TYPE_CHECKING:
    # pylint: disable=unused-import,ungrouped-imports
    from azure.core.credentials_async import AsyncTokenCredential

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.aio.operations.SparkBatchOperations :ivar spark_session: SparkSessionOperations operations :vartype spark_session: azure.synapse.spark.aio.operations.SparkSessionOperations :param credential: Credential needed for the client to connect to Azure. :type credential: ~azure.core.credentials_async.AsyncTokenCredential :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: "AsyncTokenCredential", endpoint: str, spark_pool_name: str, livy_api_version: str = "2019-11-01-preview", **kwargs: Any ) -> None: base_url = '{endpoint}/livyApi/versions/{livyApiVersion}/sparkPools/{sparkPoolName}' self._config = SparkClientConfiguration(credential, endpoint, spark_pool_name, livy_api_version, **kwargs) self._client = AsyncPipelineClient(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) async def _send_request(self, http_request: HttpRequest, **kwargs: Any) -> AsyncHttpResponse: """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.AsyncHttpResponse """ 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 = await self._client._pipeline.run(http_request, stream=stream, **kwargs) return pipeline_response.http_response
[docs] async def close(self) -> None: await self._client.close()
async def __aenter__(self) -> "SparkClient": await self._client.__aenter__() return self async def __aexit__(self, *exc_details) -> None: await self._client.__aexit__(*exc_details)