aerospike-core 2.1.0

Aerospike Client for Rust
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// Copyright 2015-2018 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.

use crate::batch::BatchOperation;
use crate::cluster::partition::Partition;
use crate::cluster::{Cluster, Node};
use crate::commands::BatchOperateCommand;
use crate::errors::Result;
use crate::policy::{BatchPolicy, Concurrency};
use crate::Error;
use crate::Key;
use crate::{BatchRecord, Policy};
use aerospike_rt::time::Duration;
use std::collections::HashMap;
use std::sync::Arc;

pub struct BatchExecutor {
    cluster: Arc<Cluster>,
}

impl BatchExecutor {
    pub const fn new(cluster: Arc<Cluster>) -> Self {
        BatchExecutor { cluster }
    }

    fn node_for_key(&self, key: &Key, replica: crate::policy::Replica) -> Result<Arc<Node>> {
        let partition = Partition::new_by_key(key);
        let node = self.cluster.get_node(&partition, replica, None)?;
        Ok(node)
    }

    #[allow(clippy::option_if_let_else)]
    pub async fn execute(
        &self,
        policy: &BatchPolicy,
        batch_ops: &[BatchOperation],
    ) -> Result<Vec<BatchRecord>> {
        if policy.total_timeout() > 0 {
            match aerospike_rt::timeout(
                Duration::from_millis(u64::from(policy.total_timeout())),
                self.execute_batch_operate(policy, batch_ops),
            )
            .await
            {
                Ok(res) => res,
                Err(_) => Err(Error::Timeout("Timeout".to_string())),
            }
        } else {
            self.execute_batch_operate(policy, batch_ops).await
        }
    }

    #[allow(clippy::mutable_key_type)]
    pub async fn execute_batch_operate(
        &self,
        policy: &BatchPolicy,
        batch_ops: &[BatchOperation],
    ) -> Result<Vec<BatchRecord>> {
        let batch_nodes = self.get_batch_operate_nodes(batch_ops, policy.replica)?;
        let jobs = batch_nodes
            .into_iter()
            .map(|(node, ops)| BatchOperateCommand::new(policy.clone(), node, ops))
            .collect();
        let ops = self
            .execute_batch_operate_jobs(jobs, policy.concurrency)
            .await?;
        let mut all_results: Vec<_> = ops.into_iter().flat_map(|cmd| cmd.batch_ops).collect();
        all_results.sort_by_key(|(_, i)| *i);
        Ok(all_results
            .into_iter()
            .map(|(b, _)| b.batch_record())
            .collect())
    }

    async fn execute_batch_operate_jobs(
        &self,
        jobs: Vec<BatchOperateCommand>,
        concurrency: Concurrency,
    ) -> Result<Vec<BatchOperateCommand>> {
        let handles = jobs
            .into_iter()
            .map(|job| job.execute(self.cluster.clone()));
        match concurrency {
            Concurrency::Sequential => futures::future::join_all(handles)
                .await
                .into_iter()
                .collect(),
            #[cfg(feature = "rt-async-std")]
            Concurrency::Parallel => futures::future::join_all(handles)
                .await
                .into_iter()
                .map(|value| value.map_err(|e| Error::ClientError(e.to_string())))
                .collect(),
            #[cfg(feature = "rt-tokio")]
            Concurrency::Parallel => futures::future::join_all(handles.map(aerospike_rt::spawn))
                .await
                .into_iter()
                .map(|value| value.map_err(|e| Error::ClientError(e.to_string()))?)
                .collect(),
        }
    }

    #[allow(clippy::mutable_key_type)]
    fn get_batch_operate_nodes(
        &self,
        batch_ops: &[BatchOperation],
        replica: crate::policy::Replica,
    ) -> Result<HashMap<Arc<Node>, Vec<(BatchOperation, usize)>>> {
        #![allow(clippy::type_complexity)]
        let mut map = HashMap::new();
        for (index, batch_op) in batch_ops.iter().enumerate() {
            let node = self.node_for_key(&batch_op.key(), replica)?;
            map.entry(node)
                .or_insert_with(Vec::new)
                .push((batch_op.clone(), index));
        }
        Ok(map)
    }
}