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use ;
use crate;
/// Trait for executing a batch of operations on a `RowBatch`.
/// A sequential batch executor.
///
/// Runs every `BuildPlan` in the batch schema;
/// executes serially with no threading.
/* Disabled because of the Send + Sync requirement on the
FirehoseOperatorEnvironment trait, which is not satisfied by the
current implementation of the environment.
/// A threaded batch executor.
#[derive(Debug)]
pub struct ThreadedBatchExecutor {
/// The number of worker threads to use for executing the batch.
num_workers: usize,
/// The thread pool used for executing operations in parallel.
pool: threadpool::ThreadPool,
/// The schema of the batch to execute.
schema: Arc<FirehoseTableSchema>,
/// The operator environment to use for executing the batch.
environment: Arc<dyn FirehoseOperatorEnvironment>,
/// The operation runners for each plan in the schema.
op_runners: Vec<Arc<OperationRunner>>,
/// The sender for sending processed chunks back to the main thread.
tx: std::sync::mpsc::Sender<(usize, FirehoseRowBatch)>,
/// The receiver for receiving processed chunks from worker threads.
rx: std::sync::mpsc::Receiver<(usize, FirehoseRowBatch)>,
}
impl ThreadedBatchExecutor {
/// Creates a new `ThreadedBatchExecutor` with the given number of workers and operator environment.
pub fn new(
num_workers: usize,
schema: Arc<FirehoseTableSchema>,
environment: Arc<dyn FirehoseOperatorEnvironment>,
) -> anyhow::Result<Self> {
let mut op_runners = Vec::new();
let (_base, build_order) = schema.build_order()?;
for plan in &build_order {
let plan = Arc::new(plan.clone());
op_runners.push(Arc::new(OperationRunner::new_for_plan(
schema.clone(),
plan,
environment.as_ref(),
)?));
}
let pool = threadpool::ThreadPool::new(num_workers);
let (tx, rx) = std::sync::mpsc::channel();
Ok(ThreadedBatchExecutor {
schema,
environment,
num_workers,
pool,
op_runners,
tx,
rx,
})
}
}
impl FirehoseBatchExecutor for ThreadedBatchExecutor {
fn schema(&self) -> &Arc<FirehoseTableSchema> {
&self.schema
}
fn environment(&self) -> &Arc<dyn FirehoseOperatorEnvironment> {
&self.environment
}
fn execute_batch(
&self,
batch: &mut FirehoseRowBatch,
) -> anyhow::Result<()> {
let chunk_size = batch.len() / self.num_workers;
for idx in 0..self.num_workers {
let mut chunk = batch.empty_like();
let k: usize = std::cmp::min(chunk_size, batch.len());
batch.drain_rows(0..k).for_each(|r| chunk.add_row(r));
let tx = self.tx.clone();
let op_runners = self.op_runners.clone();
self.pool.execute(move || {
let mut chunk = chunk;
for runner in &op_runners {
runner
.apply_to_batch(&mut chunk)
.expect("Failed to apply operation");
}
tx.send((idx, chunk))
.expect("Failed to send processed chunk");
});
}
let mut chunks = Vec::with_capacity(self.num_workers);
for _ in 0..self.num_workers {
let recieved = self.rx.recv().expect("Failed to receive chunk");
chunks.push(recieved);
}
chunks.sort_by_key(|(idx, _)| *idx);
chunks
.into_iter()
.for_each(|(_, chunk)| batch.append_batch(chunk));
Ok(())
}
}
*/