@Generated(value="software.amazon.awssdk:codegen") public final class Filter extends Object implements SdkPojo, Serializable, ToCopyableBuilder<Filter.Builder,Filter>
Describes a filter that returns a more specific list of recommendations. Use this filter with the GetAutoScalingGroupRecommendations and GetEC2InstanceRecommendations actions.
You can use EBSFilter with the GetEBSVolumeRecommendations action,
LambdaFunctionRecommendationFilter with the GetLambdaFunctionRecommendations action, and
JobFilter with the DescribeRecommendationExportJobs action.
| Modifier and Type | Class and Description |
|---|---|
static interface |
Filter.Builder |
| Modifier and Type | Method and Description |
|---|---|
static Filter.Builder |
builder() |
boolean |
equals(Object obj) |
boolean |
equalsBySdkFields(Object obj) |
<T> Optional<T> |
getValueForField(String fieldName,
Class<T> clazz) |
int |
hashCode() |
boolean |
hasValues()
For responses, this returns true if the service returned a value for the Values property.
|
FilterName |
name()
The name of the filter.
|
String |
nameAsString()
The name of the filter.
|
List<SdkField<?>> |
sdkFields() |
static Class<? extends Filter.Builder> |
serializableBuilderClass() |
Filter.Builder |
toBuilder() |
String |
toString()
Returns a string representation of this object.
|
List<String> |
values()
The value of the filter.
|
clone, finalize, getClass, notify, notifyAll, wait, wait, waitcopypublic final FilterName name()
The name of the filter.
Specify Finding to return recommendations with a specific finding classification. For example,
Underprovisioned.
Specify RecommendationSourceType to return recommendations of a specific resource type. For example,
Ec2Instance.
Specify FindingReasonCodes to return recommendations with a specific finding reason code. For
example, CPUUnderprovisioned.
Specify InferredWorkloadTypes to return recommendations of a specific inferred workload. For
example, Redis.
You can filter your EC2 instance recommendations by tag:key and tag-key tags.
A tag:key is a key and value combination of a tag assigned to your recommendations. Use the tag key
in the filter name and the tag value as the filter value. For example, to find all recommendations that have a
tag with the key of Owner and the value of TeamA, specify tag:Owner for
the filter name and TeamA for the filter value.
A tag-key is the key of a tag assigned to your recommendations. Use this filter to find all of your
recommendations that have a tag with a specific key. This doesn’t consider the tag value. For example, you can
find your recommendations with a tag key value of Owner or without any tag keys assigned.
If the service returns an enum value that is not available in the current SDK version, name will return
FilterName.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available from
nameAsString().
Specify Finding to return recommendations with a specific finding classification. For
example, Underprovisioned.
Specify RecommendationSourceType to return recommendations of a specific resource type. For
example, Ec2Instance.
Specify FindingReasonCodes to return recommendations with a specific finding reason code.
For example, CPUUnderprovisioned.
Specify InferredWorkloadTypes to return recommendations of a specific inferred workload. For
example, Redis.
You can filter your EC2 instance recommendations by tag:key and tag-key tags.
A tag:key is a key and value combination of a tag assigned to your recommendations. Use the
tag key in the filter name and the tag value as the filter value. For example, to find all
recommendations that have a tag with the key of Owner and the value of TeamA,
specify tag:Owner for the filter name and TeamA for the filter value.
A tag-key is the key of a tag assigned to your recommendations. Use this filter to find all
of your recommendations that have a tag with a specific key. This doesn’t consider the tag value. For
example, you can find your recommendations with a tag key value of Owner or without any tag
keys assigned.
FilterNamepublic final String nameAsString()
The name of the filter.
Specify Finding to return recommendations with a specific finding classification. For example,
Underprovisioned.
Specify RecommendationSourceType to return recommendations of a specific resource type. For example,
Ec2Instance.
Specify FindingReasonCodes to return recommendations with a specific finding reason code. For
example, CPUUnderprovisioned.
Specify InferredWorkloadTypes to return recommendations of a specific inferred workload. For
example, Redis.
You can filter your EC2 instance recommendations by tag:key and tag-key tags.
A tag:key is a key and value combination of a tag assigned to your recommendations. Use the tag key
in the filter name and the tag value as the filter value. For example, to find all recommendations that have a
tag with the key of Owner and the value of TeamA, specify tag:Owner for
the filter name and TeamA for the filter value.
A tag-key is the key of a tag assigned to your recommendations. Use this filter to find all of your
recommendations that have a tag with a specific key. This doesn’t consider the tag value. For example, you can
find your recommendations with a tag key value of Owner or without any tag keys assigned.
If the service returns an enum value that is not available in the current SDK version, name will return
FilterName.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available from
nameAsString().
Specify Finding to return recommendations with a specific finding classification. For
example, Underprovisioned.
Specify RecommendationSourceType to return recommendations of a specific resource type. For
example, Ec2Instance.
Specify FindingReasonCodes to return recommendations with a specific finding reason code.
For example, CPUUnderprovisioned.
Specify InferredWorkloadTypes to return recommendations of a specific inferred workload. For
example, Redis.
You can filter your EC2 instance recommendations by tag:key and tag-key tags.
A tag:key is a key and value combination of a tag assigned to your recommendations. Use the
tag key in the filter name and the tag value as the filter value. For example, to find all
recommendations that have a tag with the key of Owner and the value of TeamA,
specify tag:Owner for the filter name and TeamA for the filter value.
A tag-key is the key of a tag assigned to your recommendations. Use this filter to find all
of your recommendations that have a tag with a specific key. This doesn’t consider the tag value. For
example, you can find your recommendations with a tag key value of Owner or without any tag
keys assigned.
FilterNamepublic final boolean hasValues()
isEmpty() method on the property). This is
useful because the SDK will never return a null collection or map, but you may need to differentiate between the
service returning nothing (or null) and the service returning an empty collection or map. For requests, this
returns true if a value for the property was specified in the request builder, and false if a value was not
specified.public final List<String> values()
The value of the filter.
The valid values for this parameter are as follows, depending on what you specify for the name
parameter and the resource type that you wish to filter results for:
Specify Optimized or NotOptimized if you specify the name parameter as
Finding and you want to filter results for Auto Scaling groups.
Specify Underprovisioned, Overprovisioned, or Optimized if you specify the
name parameter as Finding and you want to filter results for EC2 instances.
Specify Ec2Instance or AutoScalingGroup if you specify the name parameter
as RecommendationSourceType.
Specify one of the following options if you specify the name parameter as
FindingReasonCodes:
CPUOverprovisioned — The instance’s CPU configuration can be sized down while still meeting
the performance requirements of your workload.
CPUUnderprovisioned — The instance’s CPU configuration doesn't meet the performance
requirements of your workload and there is an alternative instance type that provides better CPU performance.
MemoryOverprovisioned — The instance’s memory configuration can be sized down while still
meeting the performance requirements of your workload.
MemoryUnderprovisioned — The instance’s memory configuration doesn't meet the performance
requirements of your workload and there is an alternative instance type that provides better memory performance.
EBSThroughputOverprovisioned — The instance’s EBS throughput configuration can be sized
down while still meeting the performance requirements of your workload.
EBSThroughputUnderprovisioned — The instance’s EBS throughput configuration doesn't meet
the performance requirements of your workload and there is an alternative instance type that provides better EBS
throughput performance.
EBSIOPSOverprovisioned — The instance’s EBS IOPS configuration can be sized down while
still meeting the performance requirements of your workload.
EBSIOPSUnderprovisioned — The instance’s EBS IOPS configuration doesn't meet the
performance requirements of your workload and there is an alternative instance type that provides better EBS IOPS
performance.
NetworkBandwidthOverprovisioned — The instance’s network bandwidth configuration can be
sized down while still meeting the performance requirements of your workload.
NetworkBandwidthUnderprovisioned — The instance’s network bandwidth configuration doesn't
meet the performance requirements of your workload and there is an alternative instance type that provides better
network bandwidth performance. This finding reason happens when the NetworkIn or
NetworkOut performance of an instance is impacted.
NetworkPPSOverprovisioned — The instance’s network PPS (packets per second) configuration
can be sized down while still meeting the performance requirements of your workload.
NetworkPPSUnderprovisioned — The instance’s network PPS (packets per second) configuration
doesn't meet the performance requirements of your workload and there is an alternative instance type that
provides better network PPS performance.
DiskIOPSOverprovisioned — The instance’s disk IOPS configuration can be sized down while
still meeting the performance requirements of your workload.
DiskIOPSUnderprovisioned — The instance’s disk IOPS configuration doesn't meet the
performance requirements of your workload and there is an alternative instance type that provides better disk
IOPS performance.
DiskThroughputOverprovisioned — The instance’s disk throughput configuration can be sized
down while still meeting the performance requirements of your workload.
DiskThroughputUnderprovisioned — The instance’s disk throughput configuration doesn't meet
the performance requirements of your workload and there is an alternative instance type that provides better disk
throughput performance.
Attempts to modify the collection returned by this method will result in an UnsupportedOperationException.
This method will never return null. If you would like to know whether the service returned this field (so that
you can differentiate between null and empty), you can use the hasValues() method.
The valid values for this parameter are as follows, depending on what you specify for the
name parameter and the resource type that you wish to filter results for:
Specify Optimized or NotOptimized if you specify the name
parameter as Finding and you want to filter results for Auto Scaling groups.
Specify Underprovisioned, Overprovisioned, or Optimized if you
specify the name parameter as Finding and you want to filter results for EC2
instances.
Specify Ec2Instance or AutoScalingGroup if you specify the name
parameter as RecommendationSourceType.
Specify one of the following options if you specify the name parameter as
FindingReasonCodes:
CPUOverprovisioned — The instance’s CPU configuration can be sized down while still
meeting the performance requirements of your workload.
CPUUnderprovisioned — The instance’s CPU configuration doesn't meet the performance
requirements of your workload and there is an alternative instance type that provides better CPU
performance.
MemoryOverprovisioned — The instance’s memory configuration can be sized down while
still meeting the performance requirements of your workload.
MemoryUnderprovisioned — The instance’s memory configuration doesn't meet the
performance requirements of your workload and there is an alternative instance type that provides better
memory performance.
EBSThroughputOverprovisioned — The instance’s EBS throughput configuration can be
sized down while still meeting the performance requirements of your workload.
EBSThroughputUnderprovisioned — The instance’s EBS throughput configuration doesn't
meet the performance requirements of your workload and there is an alternative instance type that
provides better EBS throughput performance.
EBSIOPSOverprovisioned — The instance’s EBS IOPS configuration can be sized down
while still meeting the performance requirements of your workload.
EBSIOPSUnderprovisioned — The instance’s EBS IOPS configuration doesn't meet the
performance requirements of your workload and there is an alternative instance type that provides better
EBS IOPS performance.
NetworkBandwidthOverprovisioned — The instance’s network bandwidth configuration
can be sized down while still meeting the performance requirements of your workload.
NetworkBandwidthUnderprovisioned — The instance’s network bandwidth configuration
doesn't meet the performance requirements of your workload and there is an alternative instance type that
provides better network bandwidth performance. This finding reason happens when the
NetworkIn or NetworkOut performance of an instance is impacted.
NetworkPPSOverprovisioned — The instance’s network PPS (packets per second)
configuration can be sized down while still meeting the performance requirements of your workload.
NetworkPPSUnderprovisioned — The instance’s network PPS (packets per second)
configuration doesn't meet the performance requirements of your workload and there is an alternative
instance type that provides better network PPS performance.
DiskIOPSOverprovisioned — The instance’s disk IOPS configuration can be sized down
while still meeting the performance requirements of your workload.
DiskIOPSUnderprovisioned — The instance’s disk IOPS configuration doesn't meet the
performance requirements of your workload and there is an alternative instance type that provides better
disk IOPS performance.
DiskThroughputOverprovisioned — The instance’s disk throughput configuration can be
sized down while still meeting the performance requirements of your workload.
DiskThroughputUnderprovisioned — The instance’s disk throughput configuration
doesn't meet the performance requirements of your workload and there is an alternative instance type that
provides better disk throughput performance.
public Filter.Builder toBuilder()
toBuilder in interface ToCopyableBuilder<Filter.Builder,Filter>public static Filter.Builder builder()
public static Class<? extends Filter.Builder> serializableBuilderClass()
public final boolean equalsBySdkFields(Object obj)
equalsBySdkFields in interface SdkPojopublic final String toString()
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