azure.synapse.spark.operations package¶
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class
azure.synapse.spark.operations.SparkBatchOperations(client, config, serializer, deserializer)[source]¶ SparkBatchOperations operations.
You should not instantiate this class directly. Instead, you should create a Client instance that instantiates it for you and attaches it as an attribute.
- Variables
models – Alias to model classes used in this operation group.
- Parameters
client – Client for service requests.
config – Configuration of service client.
serializer – An object model serializer.
deserializer – An object model deserializer.
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cancel_spark_batch_job(batch_id: int, **kwargs: Any) → None[source]¶ Cancels a running spark batch job.
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create_spark_batch_job(spark_batch_job_options: ‘_models.SparkBatchJobOptions’, detailed: Optional[bool] = None, **kwargs: Any) → ’_models.SparkBatchJob’[source]¶ Create new spark batch job.
- Parameters
spark_batch_job_options (SparkBatchJobOptions) – Livy compatible batch job request payload.
detailed (bool) – Optional query param specifying whether detailed response is returned beyond plain livy.
- Keyword Arguments
cls (callable) – A custom type or function that will be passed the direct response
- Returns
SparkBatchJob, or the result of cls(response)
- Return type
- Raises
~azure.core.exceptions.HttpResponseError
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get_spark_batch_job(batch_id: int, detailed: Optional[bool] = None, **kwargs: Any) → ’_models.SparkBatchJob’[source]¶ Gets a single spark batch job.
- Parameters
- Keyword Arguments
cls (callable) – A custom type or function that will be passed the direct response
- Returns
SparkBatchJob, or the result of cls(response)
- Return type
- Raises
~azure.core.exceptions.HttpResponseError
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get_spark_batch_jobs(from_parameter: Optional[int] = None, size: Optional[int] = None, detailed: Optional[bool] = None, **kwargs: Any) → ’_models.SparkBatchJobCollection’[source]¶ List all spark batch jobs which are running under a particular spark pool.
- Parameters
from_parameter (int) – Optional param specifying which index the list should begin from.
size (int) – Optional param specifying the size of the returned list. By default it is 20 and that is the maximum.
detailed (bool) – Optional query param specifying whether detailed response is returned beyond plain livy.
- Keyword Arguments
cls (callable) – A custom type or function that will be passed the direct response
- Returns
SparkBatchJobCollection, or the result of cls(response)
- Return type
- Raises
~azure.core.exceptions.HttpResponseError
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models= <module 'azure.synapse.spark.models' from '/mnt/vss/_work/1/s/sdk/synapse/azure-synapse-spark/.tox/sphinx/lib/python3.6/site-packages/azure/synapse/spark/models/__init__.py'>¶
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class
azure.synapse.spark.operations.SparkSessionOperations(client, config, serializer, deserializer)[source]¶ SparkSessionOperations operations.
You should not instantiate this class directly. Instead, you should create a Client instance that instantiates it for you and attaches it as an attribute.
- Variables
models – Alias to model classes used in this operation group.
- Parameters
client – Client for service requests.
config – Configuration of service client.
serializer – An object model serializer.
deserializer – An object model deserializer.
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cancel_spark_session(session_id: int, **kwargs: Any) → None[source]¶ Cancels a running spark session.
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cancel_spark_statement(session_id: int, statement_id: int, **kwargs: Any) → ’_models.SparkStatementCancellationResult’[source]¶ Kill a statement within a session.
- Parameters
- Keyword Arguments
cls (callable) – A custom type or function that will be passed the direct response
- Returns
SparkStatementCancellationResult, or the result of cls(response)
- Return type
- Raises
~azure.core.exceptions.HttpResponseError
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create_spark_session(spark_session_options: ‘_models.SparkSessionOptions’, detailed: Optional[bool] = None, **kwargs: Any) → ’_models.SparkSession’[source]¶ Create new spark session.
- Parameters
spark_session_options (SparkSessionOptions) – Livy compatible batch job request payload.
detailed (bool) – Optional query param specifying whether detailed response is returned beyond plain livy.
- Keyword Arguments
cls (callable) – A custom type or function that will be passed the direct response
- Returns
SparkSession, or the result of cls(response)
- Return type
- Raises
~azure.core.exceptions.HttpResponseError
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create_spark_statement(session_id: int, spark_statement_options: ‘_models.SparkStatementOptions’, **kwargs: Any) → ’_models.SparkStatement’[source]¶ Create statement within a spark session.
- Parameters
session_id (int) – Identifier for the session.
spark_statement_options (SparkStatementOptions) – Livy compatible batch job request payload.
- Keyword Arguments
cls (callable) – A custom type or function that will be passed the direct response
- Returns
SparkStatement, or the result of cls(response)
- Return type
- Raises
~azure.core.exceptions.HttpResponseError
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get_spark_session(session_id: int, detailed: Optional[bool] = None, **kwargs: Any) → ’_models.SparkSession’[source]¶ Gets a single spark session.
- Parameters
- Keyword Arguments
cls (callable) – A custom type or function that will be passed the direct response
- Returns
SparkSession, or the result of cls(response)
- Return type
- Raises
~azure.core.exceptions.HttpResponseError
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get_spark_sessions(from_parameter: Optional[int] = None, size: Optional[int] = None, detailed: Optional[bool] = None, **kwargs: Any) → ’_models.SparkSessionCollection’[source]¶ List all spark sessions which are running under a particular spark pool.
- Parameters
from_parameter (int) – Optional param specifying which index the list should begin from.
size (int) – Optional param specifying the size of the returned list. By default it is 20 and that is the maximum.
detailed (bool) – Optional query param specifying whether detailed response is returned beyond plain livy.
- Keyword Arguments
cls (callable) – A custom type or function that will be passed the direct response
- Returns
SparkSessionCollection, or the result of cls(response)
- Return type
- Raises
~azure.core.exceptions.HttpResponseError
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get_spark_statement(session_id: int, statement_id: int, **kwargs: Any) → ’_models.SparkStatement’[source]¶ Gets a single statement within a spark session.
- Parameters
- Keyword Arguments
cls (callable) – A custom type or function that will be passed the direct response
- Returns
SparkStatement, or the result of cls(response)
- Return type
- Raises
~azure.core.exceptions.HttpResponseError
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get_spark_statements(session_id: int, **kwargs: Any) → ’_models.SparkStatementCollection’[source]¶ Gets a list of statements within a spark session.
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reset_spark_session_timeout(session_id: int, **kwargs: Any) → None[source]¶ Sends a keep alive call to the current session to reset the session timeout.
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models= <module 'azure.synapse.spark.models' from '/mnt/vss/_work/1/s/sdk/synapse/azure-synapse-spark/.tox/sphinx/lib/python3.6/site-packages/azure/synapse/spark/models/__init__.py'>¶