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Spark Session - Create Spark Session

Vytvořte novou relaci Sparku.

POST {endpoint}/livyApi/versions/{livyApiVersion}/sparkPools/{sparkPoolName}/sessions
POST {endpoint}/livyApi/versions/{livyApiVersion}/sparkPools/{sparkPoolName}/sessions?detailed={detailed}

Parametry identifikátoru URI

Name V Vyžadováno Typ Description
endpoint
path True

string

Vývojový koncový bod pracovního prostoru, například https://myworkspace.dev.azuresynapse.net.

livyApiVersion
path True

string

Platná verze rozhraní API pro požadavek.

sparkPoolName
path True

string

Název fondu sparků.

detailed
query

boolean

Volitelný parametr dotazu určující, jestli se podrobná odpověď vrátí nad rámec prosté livy.

Text požadavku

Name Vyžadováno Typ Description
name True

string

archives

string[]

args

string[]

artifactId

string

className

string

conf

object

driverCores

integer

driverMemory

string

executorCores

integer

executorMemory

string

file

string

files

string[]

jars

string[]

numExecutors

integer

pyFiles

string[]

tags

object

Odpovědi

Name Typ Description
200 OK

SparkSession

Success

Příklady

Create new spark session.

Ukázkový požadavek

POST myWorkspace.dev.azuresynapse.net/livyApi/versions/2019-11-01-preview/sparkPools/mySparkPool/sessions?detailed=True

{
  "tags": null,
  "artifactId": "fill in here",
  "name": "jobname",
  "file": "abfss://",
  "className": "classname",
  "args": [],
  "jars": [],
  "files": [],
  "archives": [],
  "conf": null,
  "driverMemory": "4g",
  "driverCores": 4,
  "executorMemory": "2g",
  "executorCores": 2,
  "numExecutors": 2
}

Ukázková odpověď

{
  "livyInfo": null,
  "name": "jobname",
  "workspaceName": "myWorkspace",
  "sparkPoolName": "mySparkPool",
  "submitterName": "thetime",
  "submitterId": "thesubmitterid",
  "artifactId": "fill in here",
  "jobType": "SparkSession",
  "result": "Failed",
  "schedulerInfo": null,
  "pluginInfo": null,
  "errorInfo": [],
  "tags": null,
  "id": 1,
  "appId": "fill in here",
  "appInfo": null,
  "state": "the state",
  "log": []
}

Definice

Name Description
LivyStates

Stav dávky

PluginCurrentState
SchedulerCurrentState
SparkErrorSource
SparkJobType

Typ úlohy.

SparkRequest
SparkScheduler
SparkServiceError
SparkServicePlugin
SparkSession
SparkSessionOptions
SparkSessionResultType
SparkSessionState

LivyStates

Stav dávky

Name Typ Description
busy

string

dead

string

error

string

idle

string

killed

string

not_started

string

recovering

string

running

string

shutting_down

string

starting

string

success

string

PluginCurrentState

Name Typ Description
Cleanup

string

Ended

string

Monitoring

string

Preparation

string

Queued

string

ResourceAcquisition

string

Submission

string

SchedulerCurrentState

Name Typ Description
Ended

string

Queued

string

Scheduled

string

SparkErrorSource

Name Typ Description
Dependency

string

System

string

Unknown

string

User

string

SparkJobType

Typ úlohy.

Name Typ Description
SparkBatch

string

SparkSession

string

SparkRequest

Name Typ Description
archives

string[]

args

string[]

className

string

conf

object

driverCores

integer

driverMemory

string

executorCores

integer

executorMemory

string

file

string

files

string[]

jars

string[]

name

string

numExecutors

integer

pyFiles

string[]

SparkScheduler

Name Typ Description
cancellationRequestedAt

string

currentState

SchedulerCurrentState

endedAt

string

scheduledAt

string

submittedAt

string

SparkServiceError

Name Typ Description
errorCode

string

message

string

source

SparkErrorSource

SparkServicePlugin

Name Typ Description
cleanupStartedAt

string

currentState

PluginCurrentState

monitoringStartedAt

string

preparationStartedAt

string

resourceAcquisitionStartedAt

string

submissionStartedAt

string

SparkSession

Name Typ Description
appId

string

appInfo

object

artifactId

string

errorInfo

SparkServiceError[]

id

integer

jobType

SparkJobType

livyInfo

SparkSessionState

log

string[]

name

string

pluginInfo

SparkServicePlugin

result

SparkSessionResultType

schedulerInfo

SparkScheduler

sparkPoolName

string

state

LivyStates

Stav relace.

submitterId

string

submitterName

string

tags

object

workspaceName

string

SparkSessionOptions

Name Typ Description
archives

string[]

args

string[]

artifactId

string

className

string

conf

object

driverCores

integer

driverMemory

string

executorCores

integer

executorMemory

string

file

string

files

string[]

jars

string[]

name

string

numExecutors

integer

pyFiles

string[]

tags

object

SparkSessionResultType

Name Typ Description
Cancelled

string

Failed

string

Succeeded

string

Uncertain

string

SparkSessionState

Name Typ Description
busyAt

string

currentState

string

deadAt

string

errorAt

string

idleAt

string

jobCreationRequest

SparkRequest

killedAt

string

notStartedAt

string

recoveringAt

string

shuttingDownAt

string

startingAt

string