Bagikan melalui


Spark Session - Create Spark Session

Buat sesi spark baru.

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

Parameter URI

Nama Dalam Diperlukan Jenis Deskripsi
endpoint
path True

string

Titik akhir pengembangan ruang kerja, misalnya https://myworkspace.dev.azuresynapse.net.

livyApiVersion
path True

string

Versi api yang valid untuk permintaan.

sparkPoolName
path True

string

Nama kumpulan spark.

detailed
query

boolean

Param kueri opsional yang menentukan apakah respons terperinci dikembalikan di luar livy biasa.

Isi Permintaan

Nama Diperlukan Jenis Deskripsi
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

Respons

Nama Jenis Deskripsi
200 OK

SparkSession

Berhasil

Contoh

Create new spark session.

Permintaan sampel

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
}

Respon sampel

{
  "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": []
}

Definisi

Nama Deskripsi
LivyStates

Status batch

PluginCurrentState
SchedulerCurrentState
SparkErrorSource
SparkJobType

Jenis pekerjaan.

SparkRequest
SparkScheduler
SparkServiceError
SparkServicePlugin
SparkSession
SparkSessionOptions
SparkSessionResultType
SparkSessionState

LivyStates

Status batch

Nama Jenis Deskripsi
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

Nama Jenis Deskripsi
Cleanup

string

Ended

string

Monitoring

string

Preparation

string

Queued

string

ResourceAcquisition

string

Submission

string

SchedulerCurrentState

Nama Jenis Deskripsi
Ended

string

Queued

string

Scheduled

string

SparkErrorSource

Nama Jenis Deskripsi
Dependency

string

System

string

Unknown

string

User

string

SparkJobType

Jenis pekerjaan.

Nama Jenis Deskripsi
SparkBatch

string

SparkSession

string

SparkRequest

Nama Jenis Deskripsi
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

Nama Jenis Deskripsi
cancellationRequestedAt

string

currentState

SchedulerCurrentState

endedAt

string

scheduledAt

string

submittedAt

string

SparkServiceError

Nama Jenis Deskripsi
errorCode

string

message

string

source

SparkErrorSource

SparkServicePlugin

Nama Jenis Deskripsi
cleanupStartedAt

string

currentState

PluginCurrentState

monitoringStartedAt

string

preparationStartedAt

string

resourceAcquisitionStartedAt

string

submissionStartedAt

string

SparkSession

Nama Jenis Deskripsi
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

Status sesi.

submitterId

string

submitterName

string

tags

object

workspaceName

string

SparkSessionOptions

Nama Jenis Deskripsi
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

Nama Jenis Deskripsi
Cancelled

string

Failed

string

Succeeded

string

Uncertain

string

SparkSessionState

Nama Jenis Deskripsi
busyAt

string

currentState

string

deadAt

string

errorAt

string

idleAt

string

jobCreationRequest

SparkRequest

killedAt

string

notStartedAt

string

recoveringAt

string

shuttingDownAt

string

startingAt

string