com.tencentcloudapi.dlc.v20210125.models

Class UpdateDataEngineRequest

java.lang.Object

com.tencentcloudapi.common.AbstractModel

com.tencentcloudapi.dlc.v20210125.models.UpdateDataEngineRequest

public class UpdateDataEngineRequest
extends AbstractModel

Field Summary

Fields inherited from class com.tencentcloudapi.common.AbstractModel

header, skipSign

Constructor Summary

Constructors

Constructor and Description
UpdateDataEngineRequest()
UpdateDataEngineRequest(UpdateDataEngineRequest source) NOTE: Any ambiguous key set via .set("AnyKey", "value") will be a shallow copy, and any explicit key, i.e Foo, set via .setFoo("value") will be a deep copy.

Method Summary

Modifier and Type	Method and Description
Boolean	getAutoResume() Get Enable the auto-refresh.
Boolean	getAutoSuspend() Get Whether to automatically suspend the cluster.
Long	getAutoSuspendTime() Get Cluster automatic suspension time
Long	getCrontabResumeSuspend() Get Scheduling policy of starting and ending the cluster: 0 (by default) indicates disabling the scheduling policy; 1 indicates enabling the scheduling policy.
CrontabResumeSuspendStrategy	getCrontabResumeSuspendStrategy() Get Scheduling policy for the start and end; the complex type includes start and end time and the cluster suspension policy.
String	getDataEngineName() Get Data engine name
Long	getElasticLimit() Get Upper limit of the spark jar monthly subscription cluster elastic scaling
Boolean	getElasticSwitch() Get Whether the AS of the spark jar monthly subscription cluster is enabled
Long	getMaxClusters() Get Maximum CU resource
Long	getMaxConcurrency() Get The maximum number of concurrent tasks for a single cluster, which is 5 by default.
String	getMessage() Get Related information
Long	getMinClusters() Get Minimum CU resource
SessionResourceTemplate	getSessionResourceTemplate() Get Session resource configuration template of Spark batch job clusters
Long	getSize() Get Resource size
Long	getTolerableQueueTime() Get Tolerable queuing time, and it is 0 by default.
void	setAutoResume(Boolean AutoResume) Set Enable the auto-refresh.
void	setAutoSuspend(Boolean AutoSuspend) Set Whether to automatically suspend the cluster.
void	setAutoSuspendTime(Long AutoSuspendTime) Set Cluster automatic suspension time
void	setCrontabResumeSuspend(Long CrontabResumeSuspend) Set Scheduling policy of starting and ending the cluster: 0 (by default) indicates disabling the scheduling policy; 1 indicates enabling the scheduling policy.
void	setCrontabResumeSuspendStrategy(CrontabResumeSuspendStrategy CrontabResumeSuspendStrategy) Set Scheduling policy for the start and end; the complex type includes start and end time and the cluster suspension policy.
void	setDataEngineName(String DataEngineName) Set Data engine name
void	setElasticLimit(Long ElasticLimit) Set Upper limit of the spark jar monthly subscription cluster elastic scaling
void	setElasticSwitch(Boolean ElasticSwitch) Set Whether the AS of the spark jar monthly subscription cluster is enabled
void	setMaxClusters(Long MaxClusters) Set Maximum CU resource
void	setMaxConcurrency(Long MaxConcurrency) Set The maximum number of concurrent tasks for a single cluster, which is 5 by default.
void	setMessage(String Message) Set Related information
void	setMinClusters(Long MinClusters) Set Minimum CU resource
void	setSessionResourceTemplate(SessionResourceTemplate SessionResourceTemplate) Set Session resource configuration template of Spark batch job clusters
void	setSize(Long Size) Set Resource size
void	setTolerableQueueTime(Long TolerableQueueTime) Set Tolerable queuing time, and it is 0 by default.
void	toMap(HashMap<String,String> map, String prefix) Internal implementation, normal users should not use it.

Methods inherited from class com.tencentcloudapi.common.AbstractModel

any, fromJsonString, getBinaryParams, GetHeader, getMultipartRequestParams, getSkipSign, set, SetHeader, setParamArrayObj, setParamArraySimple, setParamObj, setParamSimple, setSkipSign, toJsonString

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

UpdateDataEngineRequest

public UpdateDataEngineRequest()

UpdateDataEngineRequest

public UpdateDataEngineRequest(UpdateDataEngineRequest source)

NOTE: Any ambiguous key set via .set("AnyKey", "value") will be a shallow copy, and any explicit key, i.e Foo, set via .setFoo("value") will be a deep copy.

Method Detail

getSize

public Long getSize()

Get Resource size

Returns:

Size Resource size

setSize

public void setSize(Long Size)

Set Resource size

Parameters:

Size - Resource size

getMinClusters

public Long getMinClusters()

Get Minimum CU resource

Returns:

MinClusters Minimum CU resource

setMinClusters

public void setMinClusters(Long MinClusters)

Set Minimum CU resource

Parameters:

MinClusters - Minimum CU resource

getMaxClusters

public Long getMaxClusters()

Get Maximum CU resource

Returns:

MaxClusters Maximum CU resource

setMaxClusters

public void setMaxClusters(Long MaxClusters)

Set Maximum CU resource

Parameters:

MaxClusters - Maximum CU resource

getAutoResume

public Boolean getAutoResume()

Get Enable the auto-refresh. True means that it is enabled while false means that it is disabled (by default).

Returns:

AutoResume Enable the auto-refresh. True means that it is enabled while false means that it is disabled (by default).

setAutoResume

public void setAutoResume(Boolean AutoResume)

Set Enable the auto-refresh. True means that it is enabled while false means that it is disabled (by default).

Parameters:

AutoResume - Enable the auto-refresh. True means that it is enabled while false means that it is disabled (by default).

getDataEngineName

public String getDataEngineName()

Get Data engine name

Returns:

DataEngineName Data engine name

setDataEngineName

public void setDataEngineName(String DataEngineName)

Set Data engine name

Parameters:

DataEngineName - Data engine name

getMessage

public String getMessage()

Get Related information

Returns:

Message Related information

setMessage

public void setMessage(String Message)

Set Related information

Parameters:

Message - Related information

getAutoSuspend

public Boolean getAutoSuspend()

Get Whether to automatically suspend the cluster. False means no (by default) while true means yes.

Returns:

AutoSuspend Whether to automatically suspend the cluster. False means no (by default) while true means yes.

setAutoSuspend

public void setAutoSuspend(Boolean AutoSuspend)

Set Whether to automatically suspend the cluster. False means no (by default) while true means yes.

Parameters:

AutoSuspend - Whether to automatically suspend the cluster. False means no (by default) while true means yes.

getCrontabResumeSuspend

public Long getCrontabResumeSuspend()

Get Scheduling policy of starting and ending the cluster: 0 (by default) indicates disabling the scheduling policy; 1 indicates enabling the scheduling policy. (Note: The scheduling policy and the automatic suspension policy are mutually exclusive.)

Returns:

CrontabResumeSuspend Scheduling policy of starting and ending the cluster: 0 (by default) indicates disabling the scheduling policy; 1 indicates enabling the scheduling policy. (Note: The scheduling policy and the automatic suspension policy are mutually exclusive.)

setCrontabResumeSuspend

public void setCrontabResumeSuspend(Long CrontabResumeSuspend)

Set Scheduling policy of starting and ending the cluster: 0 (by default) indicates disabling the scheduling policy; 1 indicates enabling the scheduling policy. (Note: The scheduling policy and the automatic suspension policy are mutually exclusive.)

Parameters:

CrontabResumeSuspend - Scheduling policy of starting and ending the cluster: 0 (by default) indicates disabling the scheduling policy; 1 indicates enabling the scheduling policy. (Note: The scheduling policy and the automatic suspension policy are mutually exclusive.)

getCrontabResumeSuspendStrategy

public CrontabResumeSuspendStrategy getCrontabResumeSuspendStrategy()

Get Scheduling policy for the start and end; the complex type includes start and end time and the cluster suspension policy.

Returns:

CrontabResumeSuspendStrategy Scheduling policy for the start and end; the complex type includes start and end time and the cluster suspension policy.

setCrontabResumeSuspendStrategy

public void setCrontabResumeSuspendStrategy(CrontabResumeSuspendStrategy CrontabResumeSuspendStrategy)

Set Scheduling policy for the start and end; the complex type includes start and end time and the cluster suspension policy.

Parameters:

CrontabResumeSuspendStrategy - Scheduling policy for the start and end; the complex type includes start and end time and the cluster suspension policy.

getMaxConcurrency

public Long getMaxConcurrency()

Get The maximum number of concurrent tasks for a single cluster, which is 5 by default.

Returns:

MaxConcurrency The maximum number of concurrent tasks for a single cluster, which is 5 by default.

setMaxConcurrency

public void setMaxConcurrency(Long MaxConcurrency)

Set The maximum number of concurrent tasks for a single cluster, which is 5 by default.

Parameters:

MaxConcurrency - The maximum number of concurrent tasks for a single cluster, which is 5 by default.

getTolerableQueueTime

public Long getTolerableQueueTime()

Get Tolerable queuing time, and it is 0 by default. When the queuing time for tasks exceeds the tolerable time, it may trigger scale-out. If this parameter is 0, it means that scale-out may be triggered immediately once tasks start queuing.

Returns:

TolerableQueueTime Tolerable queuing time, and it is 0 by default. When the queuing time for tasks exceeds the tolerable time, it may trigger scale-out. If this parameter is 0, it means that scale-out may be triggered immediately once tasks start queuing.

setTolerableQueueTime

public void setTolerableQueueTime(Long TolerableQueueTime)

Set Tolerable queuing time, and it is 0 by default. When the queuing time for tasks exceeds the tolerable time, it may trigger scale-out. If this parameter is 0, it means that scale-out may be triggered immediately once tasks start queuing.

Parameters:

TolerableQueueTime - Tolerable queuing time, and it is 0 by default. When the queuing time for tasks exceeds the tolerable time, it may trigger scale-out. If this parameter is 0, it means that scale-out may be triggered immediately once tasks start queuing.

getAutoSuspendTime

public Long getAutoSuspendTime()

Get Cluster automatic suspension time

Returns:

AutoSuspendTime Cluster automatic suspension time

setAutoSuspendTime

public void setAutoSuspendTime(Long AutoSuspendTime)

Set Cluster automatic suspension time

Parameters:

AutoSuspendTime - Cluster automatic suspension time

getElasticSwitch

public Boolean getElasticSwitch()

Get Whether the AS of the spark jar monthly subscription cluster is enabled

Returns:

ElasticSwitch Whether the AS of the spark jar monthly subscription cluster is enabled

setElasticSwitch

public void setElasticSwitch(Boolean ElasticSwitch)

Set Whether the AS of the spark jar monthly subscription cluster is enabled

Parameters:

ElasticSwitch - Whether the AS of the spark jar monthly subscription cluster is enabled

getElasticLimit

public Long getElasticLimit()

Get Upper limit of the spark jar monthly subscription cluster elastic scaling

Returns:

ElasticLimit Upper limit of the spark jar monthly subscription cluster elastic scaling

setElasticLimit

public void setElasticLimit(Long ElasticLimit)

Set Upper limit of the spark jar monthly subscription cluster elastic scaling

Parameters:

ElasticLimit - Upper limit of the spark jar monthly subscription cluster elastic scaling

getSessionResourceTemplate

public SessionResourceTemplate getSessionResourceTemplate()

Get Session resource configuration template of Spark batch job clusters

Returns:

SessionResourceTemplate Session resource configuration template of Spark batch job clusters

setSessionResourceTemplate

public void setSessionResourceTemplate(SessionResourceTemplate SessionResourceTemplate)

Set Session resource configuration template of Spark batch job clusters

Parameters:

SessionResourceTemplate - Session resource configuration template of Spark batch job clusters

toMap

public void toMap(HashMap<String,String> map,
                  String prefix)

Internal implementation, normal users should not use it.

Specified by:

toMap in class AbstractModel