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syntax = "proto3";
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package envoy.api.v2;
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option java_generic_services = true;
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import "envoy/api/v2/discovery.proto";
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import "envoy/api/v2/endpoint/endpoint.proto";
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import "envoy/type/percent.proto";
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import "google/api/annotations.proto";
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import "validate/validate.proto";
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import "gogoproto/gogo.proto";
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import "google/protobuf/wrappers.proto";
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option (gogoproto.equal_all) = true;
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// [#protodoc-title: EDS]
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service EndpointDiscoveryService {
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// The resource_names field in DiscoveryRequest specifies a list of clusters
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// to subscribe to updates for.
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rpc StreamEndpoints(stream DiscoveryRequest) returns (stream DiscoveryResponse) {
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}
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rpc FetchEndpoints(DiscoveryRequest) returns (DiscoveryResponse) {
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option (google.api.http) = {
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post: "/v2/discovery:endpoints"
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body: "*"
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};
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}
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}
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// Each route from RDS will map to a single cluster or traffic split across
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// clusters using weights expressed in the RDS WeightedCluster.
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//
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// With EDS, each cluster is treated independently from a LB perspective, with
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// LB taking place between the Localities within a cluster and at a finer
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// granularity between the hosts within a locality. For a given cluster, the
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// effective weight of a host is its load_balancing_weight multiplied by the
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// load_balancing_weight of its Locality.
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message ClusterLoadAssignment {
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// Name of the cluster. This will be the :ref:`service_name
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// <envoy_api_field_Cluster.EdsClusterConfig.service_name>` value if specified
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// in the cluster :ref:`EdsClusterConfig
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// <envoy_api_msg_Cluster.EdsClusterConfig>`.
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string cluster_name = 1 [(validate.rules).string.min_bytes = 1];
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// List of endpoints to load balance to.
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repeated endpoint.LocalityLbEndpoints endpoints = 2 [(gogoproto.nullable) = false];
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// Load balancing policy settings.
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message Policy {
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reserved 1;
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message DropOverload {
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// Identifier for the policy specifying the drop.
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string category = 1 [(validate.rules).string.min_bytes = 1];
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// Percentage of traffic that should be dropped for the category.
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envoy.type.FractionalPercent drop_percentage = 2;
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}
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// Action to trim the overall incoming traffic to protect the upstream
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// hosts. This action allows protection in case the hosts are unable to
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// recover from an outage, or unable to autoscale or unable to handle
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// incoming traffic volume for any reason.
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//
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// At the client each category is applied one after the other to generate
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// the 'actual' drop percentage on all outgoing traffic. For example:
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//
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// .. code-block:: json
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//
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// { "drop_overloads": [
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// { "category": "throttle", "drop_percentage": 60 }
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// { "category": "lb", "drop_percentage": 50 }
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// ]}
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//
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// The actual drop percentages applied to the traffic at the clients will be
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// "throttle"_drop = 60%
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// "lb"_drop = 20% // 50% of the remaining 'actual' load, which is 40%.
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// actual_outgoing_load = 20% // remaining after applying all categories.
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repeated DropOverload drop_overloads = 2;
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// Priority levels and localities are considered overprovisioned with this
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// factor (in percentage). This means that we don't consider a priority
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// level or locality unhealthy until the percentage of healthy hosts
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// multiplied by the overprovisioning factor drops below 100.
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// With the default value 140(1.4), Envoy doesn't consider a priority level
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// or a locality unhealthy until their percentage of healthy hosts drops
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// below 72%.
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// Read more at :ref:`priority levels <arch_overview_load_balancing_priority_levels>` and
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// :ref:`localities <arch_overview_load_balancing_locality_weighted_lb>`.
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google.protobuf.UInt32Value overprovisioning_factor = 3 [(validate.rules).uint32.gt = 0];
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}
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// Load balancing policy settings.
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Policy policy = 4;
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}
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