Enum MigrationJob.PerformanceConfig.DumpParallelLevel (2.51.0)

Version 2.51.0

• 2.54.0 (latest)
• 2.53.0
• 2.52.0
• 2.51.0
• 2.50.0
• 2.48.0
• 2.47.0
• 2.46.0
• 2.45.0
• 2.44.0
• 2.43.0
• 2.42.0
• 2.41.0
• 2.40.0
• 2.39.0
• 2.38.0
• 2.36.0
• 2.35.0
• 2.34.0
• 2.33.0
• 2.32.0
• 2.31.0
• 2.30.0
• 2.29.0
• 2.28.0
• 2.27.0
• 2.26.0
• 2.23.0
• 2.22.0
• 2.21.0
• 2.20.0
• 2.19.0
• 2.18.0
• 2.17.0
• 2.16.0
• 2.15.0
• 2.14.0
• 2.13.0
• 2.12.0
• 2.11.0
• 2.10.0
• 2.8.0
• 2.7.0
• 2.6.0
• 2.5.0
• 2.4.0
• 2.3.0
• 2.2.8
• 2.1.9

public enum MigrationJob.PerformanceConfig.DumpParallelLevel extends Enum<MigrationJob.PerformanceConfig.DumpParallelLevel> implements ProtocolMessageEnum

Describes the parallelism level during initial dump.

Protobuf enum google.cloud.clouddms.v1.MigrationJob.PerformanceConfig.DumpParallelLevel

Implements

ProtocolMessageEnum

Inherited Members

Enum.<T>valueOf(Class<T>,String)

Enum.clone()

Enum.compareTo(E)

Enum.equals(Object)

Enum.finalize()

Enum.getDeclaringClass()

Enum.hashCode()

Enum.name()

Enum.ordinal()

Enum.toString()

Object.getClass()

Object.notify()

Object.notifyAll()

Object.wait()

Object.wait(long)

Object.wait(long,int)

Static Fields
Name	Description
DUMP_PARALLEL_LEVEL_UNSPECIFIED	Unknown dump parallel level. Will be defaulted to OPTIMAL. DUMP_PARALLEL_LEVEL_UNSPECIFIED = 0;
DUMP_PARALLEL_LEVEL_UNSPECIFIED_VALUE	Unknown dump parallel level. Will be defaulted to OPTIMAL. DUMP_PARALLEL_LEVEL_UNSPECIFIED = 0;
MAX	Maximum parallel level. MAX = 3;
MAX_VALUE	Maximum parallel level. MAX = 3;
MIN	Minimal parallel level. MIN = 1;
MIN_VALUE	Minimal parallel level. MIN = 1;
OPTIMAL	Optimal parallel level. OPTIMAL = 2;
OPTIMAL_VALUE	Optimal parallel level. OPTIMAL = 2;
UNRECOGNIZED

Static Methods
Name	Description
forNumber(int value)
getDescriptor()
internalGetValueMap()
valueOf(Descriptors.EnumValueDescriptor desc)
valueOf(int value)	Deprecated. Use #forNumber(int) instead.
valueOf(String name)
values()

Methods
Name	Description
getDescriptorForType()
getNumber()
getValueDescriptor()