Class Cluster.CommonLbConfig.ConsistentHashingLbConfig

    • Constructor Detail

      • ConsistentHashingLbConfig

        private ConsistentHashingLbConfig​(com.google.protobuf.GeneratedMessage.Builder<?> builder)
      • ConsistentHashingLbConfig

        private ConsistentHashingLbConfig()
    • Method Detail

      • getDescriptor

        public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()
      • internalGetFieldAccessorTable

        protected com.google.protobuf.GeneratedMessage.FieldAccessorTable internalGetFieldAccessorTable()
        Specified by:
        internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessage
      • getUseHostnameForHashing

        public boolean getUseHostnameForHashing()
         If set to ``true``, the cluster will use hostname instead of the resolved
         address as the key to consistently hash to an upstream host. Only valid for StrictDNS clusters with hostnames which resolve to a single IP address.
         
        bool use_hostname_for_hashing = 1;
        Specified by:
        getUseHostnameForHashing in interface Cluster.CommonLbConfig.ConsistentHashingLbConfigOrBuilder
        Returns:
        The useHostnameForHashing.
      • hasHashBalanceFactor

        public boolean hasHashBalanceFactor()
         Configures percentage of average cluster load to bound per upstream host. For example, with a value of 150
         no upstream host will get a load more than 1.5 times the average load of all the hosts in the cluster.
         If not specified, the load is not bounded for any upstream host. Typical value for this parameter is between 120 and 200.
         Minimum is 100.
        
         Applies to both Ring Hash and Maglev load balancers.
        
         This is implemented based on the method described in the paper https://arxiv.org/abs/1608.01350. For the specified
         ``hash_balance_factor``, requests to any upstream host are capped at ``hash_balance_factor/100`` times the average number of requests
         across the cluster. When a request arrives for an upstream host that is currently serving at its max capacity, linear probing
         is used to identify an eligible host. Further, the linear probe is implemented using a random jump in hosts ring/table to identify
         the eligible host (this technique is as described in the paper https://arxiv.org/abs/1908.08762 - the random jump avoids the
         cascading overflow effect when choosing the next host in the ring/table).
        
         If weights are specified on the hosts, they are respected.
        
         This is an O(N) algorithm, unlike other load balancers. Using a lower ``hash_balance_factor`` results in more hosts
         being probed, so use a higher value if you require better performance.
         
        .google.protobuf.UInt32Value hash_balance_factor = 2 [(.validate.rules) = { ... }
        Specified by:
        hasHashBalanceFactor in interface Cluster.CommonLbConfig.ConsistentHashingLbConfigOrBuilder
        Returns:
        Whether the hashBalanceFactor field is set.
      • getHashBalanceFactor

        public com.google.protobuf.UInt32Value getHashBalanceFactor()
         Configures percentage of average cluster load to bound per upstream host. For example, with a value of 150
         no upstream host will get a load more than 1.5 times the average load of all the hosts in the cluster.
         If not specified, the load is not bounded for any upstream host. Typical value for this parameter is between 120 and 200.
         Minimum is 100.
        
         Applies to both Ring Hash and Maglev load balancers.
        
         This is implemented based on the method described in the paper https://arxiv.org/abs/1608.01350. For the specified
         ``hash_balance_factor``, requests to any upstream host are capped at ``hash_balance_factor/100`` times the average number of requests
         across the cluster. When a request arrives for an upstream host that is currently serving at its max capacity, linear probing
         is used to identify an eligible host. Further, the linear probe is implemented using a random jump in hosts ring/table to identify
         the eligible host (this technique is as described in the paper https://arxiv.org/abs/1908.08762 - the random jump avoids the
         cascading overflow effect when choosing the next host in the ring/table).
        
         If weights are specified on the hosts, they are respected.
        
         This is an O(N) algorithm, unlike other load balancers. Using a lower ``hash_balance_factor`` results in more hosts
         being probed, so use a higher value if you require better performance.
         
        .google.protobuf.UInt32Value hash_balance_factor = 2 [(.validate.rules) = { ... }
        Specified by:
        getHashBalanceFactor in interface Cluster.CommonLbConfig.ConsistentHashingLbConfigOrBuilder
        Returns:
        The hashBalanceFactor.
      • getHashBalanceFactorOrBuilder

        public com.google.protobuf.UInt32ValueOrBuilder getHashBalanceFactorOrBuilder()
         Configures percentage of average cluster load to bound per upstream host. For example, with a value of 150
         no upstream host will get a load more than 1.5 times the average load of all the hosts in the cluster.
         If not specified, the load is not bounded for any upstream host. Typical value for this parameter is between 120 and 200.
         Minimum is 100.
        
         Applies to both Ring Hash and Maglev load balancers.
        
         This is implemented based on the method described in the paper https://arxiv.org/abs/1608.01350. For the specified
         ``hash_balance_factor``, requests to any upstream host are capped at ``hash_balance_factor/100`` times the average number of requests
         across the cluster. When a request arrives for an upstream host that is currently serving at its max capacity, linear probing
         is used to identify an eligible host. Further, the linear probe is implemented using a random jump in hosts ring/table to identify
         the eligible host (this technique is as described in the paper https://arxiv.org/abs/1908.08762 - the random jump avoids the
         cascading overflow effect when choosing the next host in the ring/table).
        
         If weights are specified on the hosts, they are respected.
        
         This is an O(N) algorithm, unlike other load balancers. Using a lower ``hash_balance_factor`` results in more hosts
         being probed, so use a higher value if you require better performance.
         
        .google.protobuf.UInt32Value hash_balance_factor = 2 [(.validate.rules) = { ... }
        Specified by:
        getHashBalanceFactorOrBuilder in interface Cluster.CommonLbConfig.ConsistentHashingLbConfigOrBuilder
      • isInitialized

        public final boolean isInitialized()
        Specified by:
        isInitialized in interface com.google.protobuf.MessageLiteOrBuilder
        Overrides:
        isInitialized in class com.google.protobuf.GeneratedMessage
      • writeTo

        public void writeTo​(com.google.protobuf.CodedOutputStream output)
                     throws java.io.IOException
        Specified by:
        writeTo in interface com.google.protobuf.MessageLite
        Overrides:
        writeTo in class com.google.protobuf.GeneratedMessage
        Throws:
        java.io.IOException
      • getSerializedSize

        public int getSerializedSize()
        Specified by:
        getSerializedSize in interface com.google.protobuf.MessageLite
        Overrides:
        getSerializedSize in class com.google.protobuf.GeneratedMessage
      • equals

        public boolean equals​(java.lang.Object obj)
        Specified by:
        equals in interface com.google.protobuf.Message
        Overrides:
        equals in class com.google.protobuf.AbstractMessage
      • hashCode

        public int hashCode()
        Specified by:
        hashCode in interface com.google.protobuf.Message
        Overrides:
        hashCode in class com.google.protobuf.AbstractMessage
      • parseFrom

        public static Cluster.CommonLbConfig.ConsistentHashingLbConfig parseFrom​(java.nio.ByteBuffer data,
                                                                                 com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                                                          throws com.google.protobuf.InvalidProtocolBufferException
        Throws:
        com.google.protobuf.InvalidProtocolBufferException
      • parseFrom

        public static Cluster.CommonLbConfig.ConsistentHashingLbConfig parseFrom​(com.google.protobuf.ByteString data)
                                                                          throws com.google.protobuf.InvalidProtocolBufferException
        Throws:
        com.google.protobuf.InvalidProtocolBufferException
      • parseFrom

        public static Cluster.CommonLbConfig.ConsistentHashingLbConfig parseFrom​(com.google.protobuf.ByteString data,
                                                                                 com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                                                          throws com.google.protobuf.InvalidProtocolBufferException
        Throws:
        com.google.protobuf.InvalidProtocolBufferException
      • parseFrom

        public static Cluster.CommonLbConfig.ConsistentHashingLbConfig parseFrom​(byte[] data,
                                                                                 com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                                                          throws com.google.protobuf.InvalidProtocolBufferException
        Throws:
        com.google.protobuf.InvalidProtocolBufferException
      • parseDelimitedFrom

        public static Cluster.CommonLbConfig.ConsistentHashingLbConfig parseDelimitedFrom​(java.io.InputStream input,
                                                                                          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                                                                   throws java.io.IOException
        Throws:
        java.io.IOException
      • parseFrom

        public static Cluster.CommonLbConfig.ConsistentHashingLbConfig parseFrom​(com.google.protobuf.CodedInputStream input,
                                                                                 com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                                                          throws java.io.IOException
        Throws:
        java.io.IOException
      • getParserForType

        public com.google.protobuf.Parser<Cluster.CommonLbConfig.ConsistentHashingLbConfig> getParserForType()
        Specified by:
        getParserForType in interface com.google.protobuf.Message
        Specified by:
        getParserForType in interface com.google.protobuf.MessageLite
        Overrides:
        getParserForType in class com.google.protobuf.GeneratedMessage
      • getDefaultInstanceForType

        public Cluster.CommonLbConfig.ConsistentHashingLbConfig getDefaultInstanceForType()
        Specified by:
        getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder
        Specified by:
        getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder