REST Resource: projects.locations.workflows.subtasks

Resource: MigrationSubtask

A subtask for a migration which carries details about the configuration of the subtask. The content of the details should not matter to the end user, but is a contract between the subtask creator and subtask worker.

JSON representation 
{
  "name": string,
  "taskId": string,
  "type": string,
  "state": enum (State),
  "processingError": {
    object (ErrorInfo)
  },
  "resourceErrorDetails": [
    {
      object (ResourceErrorDetail)
    }
  ],
  "resourceErrorCount": integer,
  "createTime": string,
  "lastUpdateTime": string,
  "metrics": [
    {
      object (TimeSeries)
    }
  ]
}
Fields
name

string

Output only. Immutable. The resource name for the migration subtask. The ID is server-generated.

Example: projects/123/locations/us/workflows/345/subtasks/678
taskId

string

The unique ID of the task to which this subtask belongs.
type

string

The type of the Subtask. The migration service does not check whether this is a known type. It is up to the task creator (i.e. orchestrator or worker) to ensure it only creates subtasks for which there are compatible workers polling for Subtasks.
state

enum (State)

Output only. The current state of the subtask.
processingError

object (ErrorInfo)

Output only. An explanation that may be populated when the task is in FAILED state.
resourceErrorDetails[]

object (ResourceErrorDetail)

Output only. Provides details to errors and issues encountered while processing the subtask. Presence of error details does not mean that the subtask failed.
resourceErrorCount

integer

The number or resources with errors. Note: This is not the total number of errors as each resource can have more than one error. This is used to indicate truncation by having a resourceErrorCount that is higher than the size of resourceErrorDetails.
createTime

string (Timestamp format)

Time when the subtask was created.
lastUpdateTime

string (Timestamp format)

Time when the subtask was last updated.
metrics[]

object (TimeSeries)

The metrics for the subtask.

State

Possible states of a migration subtask.

Enums
STATE_UNSPECIFIED The state is unspecified.
ACTIVE The subtask is ready, i.e. it is ready for execution.
RUNNING The subtask is running, i.e. it is assigned to a worker for execution.
SUCCEEDED The subtask finished successfully.
FAILED The subtask finished unsuccessfully.
PAUSED The subtask is paused, i.e., it will not be scheduled. If it was already assigned,it might still finish but no new lease renewals will be granted.

ResourceErrorDetail

Provides details for errors and the corresponding resources.

JSON representation 
{
  "resourceInfo": {
    object (ResourceInfo)
  },
  "errorDetails": [
    {
      object (ErrorDetail)
    }
  ],
  "errorCount": integer
}
Fields
resourceInfo

object (ResourceInfo)

Required. Information about the resource where the error is located.
errorDetails[]

object (ErrorDetail)

Required. The error details for the resource.
errorCount

integer

Required. How many errors there are in total for the resource. Truncation can be indicated by having an errorCount that is higher than the size of errorDetails.

ResourceInfo

Describes the resource that is being accessed.

JSON representation 
{
  "resourceType": string,
  "resourceName": string,
  "owner": string,
  "description": string
}
Fields
resourceType

string

A name for the type of resource being accessed, e.g. "sql table", "cloud storage bucket", "file", "Google calendar"; or the type URL of the resource: e.g. "type.googleapis.com/google.pubsub.v1.Topic".
resourceName

string

The name of the resource being accessed. For example, a shared calendar name: "example.com_4fghdhgsrgh@group.calendar.google.com", if the current error is google.rpc.Code.PERMISSION_DENIED.
owner

string

The owner of the resource (optional). For example, "user:" or "project:".
description

string

Describes what error is encountered when accessing this resource. For example, updating a cloud project may require the writer permission on the developer console project.

ErrorDetail

Provides details for errors, e.g. issues that where encountered when processing a subtask.

JSON representation 
{
  "location": {
    object (ErrorLocation)
  },
  "errorInfo": {
    object (ErrorInfo)
  }
}
Fields
location

object (ErrorLocation)

Optional. The exact location within the resource (if applicable).
errorInfo

object (ErrorInfo)

Required. Describes the cause of the error with structured detail.

ErrorLocation

Holds information about where the error is located.

JSON representation 
{
  "line": integer,
  "column": integer
}
Fields
line

integer

Optional. If applicable, denotes the line where the error occurred. A zero value means that there is no line information.
column

integer

Optional. If applicable, denotes the column where the error occurred. A zero value means that there is no columns information.

TimeSeries

The metrics object for a SubTask.

JSON representation 
{
  "metric": string,
  "valueType": enum (ValueType),
  "metricKind": enum (MetricKind),
  "points": [
    {
      object (Point)
    }
  ]
}
Fields
metric

string

Required. The name of the metric.

If the metric is not known by the service yet, it will be auto-created.
valueType

enum (ValueType)

Required. The value type of the time series.
metricKind

enum (MetricKind)

Optional. The metric kind of the time series.

If present, it must be the same as the metric kind of the associated metric. If the associated metric's descriptor must be auto-created, then this field specifies the metric kind of the new descriptor and must be either GAUGE (the default) or CUMULATIVE.
points[]

object (Point)

Required. The data points of this time series. When listing time series, points are returned in reverse time order.

When creating a time series, this field must contain exactly one point and the point's type must be the same as the value type of the associated metric. If the associated metric's descriptor must be auto-created, then the value type of the descriptor is determined by the point's type, which must be BOOL, INT64, DOUBLE, or DISTRIBUTION.

ValueType

The value type of a metric.

Enums
VALUE_TYPE_UNSPECIFIED Do not use this default value.
BOOL The value is a boolean. This value type can be used only if the metric kind is GAUGE.
INT64 The value is a signed 64-bit integer.
DOUBLE The value is a double precision floating point number.
STRING The value is a text string. This value type can be used only if the metric kind is GAUGE.
DISTRIBUTION The value is a Distribution.
MONEY The value is money.

MetricKind

The kind of measurement. It describes how the data is reported. For information on setting the start time and end time based on the MetricKind, see [TimeInterval][google.monitoring.v3.TimeInterval].

Enums
METRIC_KIND_UNSPECIFIED Do not use this default value.
GAUGE An instantaneous measurement of a value.
DELTA The change in a value during a time interval.
CUMULATIVE A value accumulated over a time interval. Cumulative measurements in a time series should have the same start time and increasing end times, until an event resets the cumulative value to zero and sets a new start time for the following points.

Point

A single data point in a time series.

JSON representation 
{
  "interval": {
    object (TimeInterval)
  },
  "value": {
    object (TypedValue)
  }
}
Fields
interval

object (TimeInterval)

The time interval to which the data point applies. For GAUGE metrics, the start time does not need to be supplied, but if it is supplied, it must equal the end time. For DELTA metrics, the start and end time should specify a non-zero interval, with subsequent points specifying contiguous and non-overlapping intervals. For CUMULATIVE metrics, the start and end time should specify a non-zero interval, with subsequent points specifying the same start time and increasing end times, until an event resets the cumulative value to zero and sets a new start time for the following points.
value

object (TypedValue)

The value of the data point.

TimeInterval

A time interval extending just after a start time through an end time. If the start time is the same as the end time, then the interval represents a single point in time.

JSON representation 
{
  "startTime": string,
  "endTime": string
}
Fields
startTime

string (Timestamp format)

Optional. The beginning of the time interval. The default value for the start time is the end time. The start time must not be later than the end time.
endTime

string (Timestamp format)

Required. The end of the time interval.

TypedValue

A single strongly-typed value.

JSON representation 
{

  // Union field value can be only one of the following:
  "boolValue": boolean,
  "int64Value": string,
  "doubleValue": number,
  "stringValue": string,
  "distributionValue": {
    object (Distribution)
  }
  // End of list of possible types for union field value.
}
Fields
Union field value. The typed value field. value can be only one of the following:
boolValue

boolean

A Boolean value: true or false.
int64Value

string (int64 format)

A 64-bit integer. Its range is approximately +/-9.2x10^18.
doubleValue

number

A 64-bit double-precision floating-point number. Its magnitude is approximately +/-10^(+/-300) and it has 16 significant digits of precision.
stringValue

string

A variable-length string value.
distributionValue

object (Distribution)

A distribution value.

Distribution

Distribution contains summary statistics for a population of values. It optionally contains a histogram representing the distribution of those values across a set of buckets.

The summary statistics are the count, mean, sum of the squared deviation from the mean, the minimum, and the maximum of the set of population of values. The histogram is based on a sequence of buckets and gives a count of values that fall into each bucket. The boundaries of the buckets are given either explicitly or by formulas for buckets of fixed or exponentially increasing widths.

Although it is not forbidden, it is generally a bad idea to include non-finite values (infinities or NaNs) in the population of values, as this will render the mean and sumOfSquaredDeviation fields meaningless.

JSON representation 
{
  "count": string,
  "mean": number,
  "sumOfSquaredDeviation": number,
  "range": {
    object (Range)
  },
  "bucketOptions": {
    object (BucketOptions)
  },
  "bucketCounts": [
    string
  ],
  "exemplars": [
    {
      object (Exemplar)
    }
  ]
}
Fields
count

string (int64 format)

The number of values in the population. Must be non-negative. This value must equal the sum of the values in bucketCounts if a histogram is provided.
mean

number

The arithmetic mean of the values in the population. If count is zero then this field must be zero.
sumOfSquaredDeviation

number

The sum of squared deviations from the mean of the values in the population. For values x_i this is:

Sum[i=1..n]((x_i - mean)^2)

Knuth, "The Art of Computer Programming", Vol. 2, page 232, 3rd edition describes Welford's method for accumulating this sum in one pass.

If count is zero then this field must be zero.
range

object (Range)

If specified, contains the range of the population values. The field must not be present if the count is zero.
bucketOptions

object (BucketOptions)

Defines the histogram bucket boundaries. If the distribution does not contain a histogram, then omit this field.
bucketCounts[]

string (int64 format)

The number of values in each bucket of the histogram, as described in bucketOptions. If the distribution does not have a histogram, then omit this field. If there is a histogram, then the sum of the values in bucketCounts must equal the value in the count field of the distribution.

If present, bucketCounts should contain N values, where N is the number of buckets specified in bucketOptions. If you supply fewer than N values, the remaining values are assumed to be 0.

The order of the values in bucketCounts follows the bucket numbering schemes described for the three bucket types. The first value must be the count for the underflow bucket (number 0). The next N-2 values are the counts for the finite buckets (number 1 through N-2). The N'th value in bucketCounts is the count for the overflow bucket (number N-1).
exemplars[]

object (Exemplar)

Must be in increasing order of value field.

Range

The range of the population values.

JSON representation 
{
  "min": number,
  "max": number
}
Fields
min

number

The minimum of the population values.
max

number

The maximum of the population values.

BucketOptions

BucketOptions describes the bucket boundaries used to create a histogram for the distribution. The buckets can be in a linear sequence, an exponential sequence, or each bucket can be specified explicitly. BucketOptions does not include the number of values in each bucket.

A bucket has an inclusive lower bound and exclusive upper bound for the values that are counted for that bucket. The upper bound of a bucket must be strictly greater than the lower bound. The sequence of N buckets for a distribution consists of an underflow bucket (number 0), zero or more finite buckets (number 1 through N - 2) and an overflow bucket (number N - 1). The buckets are contiguous: the lower bound of bucket i (i > 0) is the same as the upper bound of bucket i - 1. The buckets span the whole range of finite values: lower bound of the underflow bucket is -infinity and the upper bound of the overflow bucket is +infinity. The finite buckets are so-called because both bounds are finite.

JSON representation 
{

  // Union field options can be only one of the following:
  "linearBuckets": {
    object (Linear)
  },
  "exponentialBuckets": {
    object (Exponential)
  },
  "explicitBuckets": {
    object (Explicit)
  }
  // End of list of possible types for union field options.
}
Fields
Union field options. Exactly one of these three fields must be set. options can be only one of the following:
linearBuckets

object (Linear)

The linear bucket.
exponentialBuckets

object (Exponential)

The exponential buckets.
explicitBuckets

object (Explicit)

The explicit buckets.

Linear

Specifies a linear sequence of buckets that all have the same width (except overflow and underflow). Each bucket represents a constant absolute uncertainty on the specific value in the bucket.

There are numFiniteBuckets + 2 (= N) buckets. Bucket i has the following boundaries:

Upper bound (0 <= i < N-1): offset + (width * i). Lower bound (1 <= i < N): offset + (width * (i - 1)).

JSON representation 
{
  "numFiniteBuckets": integer,
  "width": number,
  "offset": number
}
Fields
numFiniteBuckets

integer

Must be greater than 0.
width

number

Must be greater than 0.
offset

number

Lower bound of the first bucket.

Exponential

Specifies an exponential sequence of buckets that have a width that is proportional to the value of the lower bound. Each bucket represents a constant relative uncertainty on a specific value in the bucket.

There are numFiniteBuckets + 2 (= N) buckets. Bucket i has the following boundaries:

Upper bound (0 <= i < N-1): scale * (growthFactor ^ i). Lower bound (1 <= i < N): scale * (growthFactor ^ (i - 1)).

JSON representation 
{
  "numFiniteBuckets": integer,
  "growthFactor": number,
  "scale": number
}
Fields
numFiniteBuckets

integer

Must be greater than 0.
growthFactor

number

Must be greater than 1.
scale

number

Must be greater than 0.

Explicit

Specifies a set of buckets with arbitrary widths.

There are size(bounds) + 1 (= N) buckets. Bucket i has the following boundaries:

Upper bound (0 <= i < N-1): bounds[i] Lower bound (1 <= i < N); bounds[i - 1]

The bounds field must contain at least one element. If bounds has only one element, then there are no finite buckets, and that single element is the common boundary of the overflow and underflow buckets.

JSON representation 
{
  "bounds": [
    number
  ]
}
Fields
bounds[]

number

The values must be monotonically increasing.

Exemplar

Exemplars are example points that may be used to annotate aggregated distribution values. They are metadata that gives information about a particular value added to a Distribution bucket, such as a trace ID that was active when a value was added. They may contain further information, such as a example values and timestamps, origin, etc.

JSON representation 
{
  "value": number,
  "timestamp": string,
  "attachments": [
    {
      "@type": string,
      field1: ...,
      ...
    }
  ]
}
Fields
value

number

Value of the exemplar point. This value determines to which bucket the exemplar belongs.
timestamp

string (Timestamp format)

The observation (sampling) time of the above value.
attachments[]

object

Contextual information about the example value. Examples are:

Trace: type.googleapis.com/google.monitoring.v3.SpanContext

Literal string: type.googleapis.com/google.protobuf.StringValue

Labels dropped during aggregation: type.googleapis.com/google.monitoring.v3.DroppedLabels

There may be only a single attachment of any given message type in a single exemplar, and this is enforced by the system.

Methods

get

 Gets a previously created migration subtask.

list

 Lists previously created migration subtasks.