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// Copyright 2015-2017 Aerospike, Inc. // // Portions may be licensed to Aerospike, Inc. under one or more contributor // license agreements. // // Licensed under the Apache License, Version 2.0 (the "License"); you may not // use this file except in compliance with the License. You may obtain a copy of // the License at http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, WITHOUT // WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the // License for the specific language governing permissions and limitations under // the License. /// Specifies whether a command, that needs to be executed on multiple cluster nodes, should be /// executed sequentially, one node at a time, or in parallel on multiple nodes using the client's /// thread pool. pub enum Concurrency { /// Issue commands sequentially. This mode has a performance advantage for small to /// medium sized batch sizes because requests can be issued in the main transaction thread. /// This is the default. Sequential, /// Issue all commands in parallel threads. This mode has a performance advantage for /// extremely large batch sizes because each node can process the request immediately. The /// downside is extra threads will need to be created (or takedn from a thread pool). Parallel, /// Issue up to N commands in parallel threads. When a request completes, a new request /// will be issued until all threads are complete. This mode prevents too many parallel threads /// being created for large cluster implementations. The downside is extra threads will still /// need to be created (or taken from a thread pool). /// /// E.g. if there are 16 nodes/namespace combinations requested and concurrency is set to /// `MaxThreads(8)`, then batch requests will be made for 8 node/namespace combinations in /// parallel threads. When a request completes, a new request will be issued until all 16 /// requests are complete. MaxThreads(usize), }