pub struct Plan<'a> { /* private fields */ }Expand description
The list of targets constituting the query plan. Target here is a pair (NodeRef<'a>, Shard).
The plan is partly lazily computed, with the first target computed eagerly in the first place and the remaining targets computed on-demand (all at once). This significantly reduces the allocation overhead on “the happy path” (when the first target successfully handles the request).
Plan implements Iterator<Item=(NodeRef<'a>, Shard)> but LoadBalancingPolicy
returns Option<Shard> instead of Shard both in pick and in fallback.
Plan handles the None case by using random shard for a given node.
There is currently no way to configure RNG used by Plan.
If you don’t want Plan to do randomize shards or you want to control the RNG,
use custom LBP that will always return non-None shards.
Example of LBP that always uses shard 0, preventing Plan from using random numbers:
#[derive(Debug)]
struct NonRandomLBP {
inner: Arc<dyn LoadBalancingPolicy>,
}
impl LoadBalancingPolicy for NonRandomLBP {
fn pick<'a>(
&'a self,
info: &'a RoutingInfo,
cluster: &'a ClusterState,
) -> Option<(NodeRef<'a>, Option<Shard>)> {
self.inner
.pick(info, cluster)
.map(|(node, shard)| (node, shard.or(Some(0))))
}
fn fallback<'a>(&'a self, info: &'a RoutingInfo, cluster: &'a ClusterState) -> FallbackPlan<'a> {
Box::new(self.inner
.fallback(info, cluster)
.map(|(node, shard)| (node, shard.or(Some(0)))))
}
fn name(&self) -> String {
"NonRandomLBP".to_string()
}
}Implementations§
Source§impl<'a> Plan<'a>
impl<'a> Plan<'a>
pub fn new( policy: &'a dyn LoadBalancingPolicy, routing_info: &'a RoutingInfo<'a>, cluster: &'a ClusterState, ) -> Self
Trait Implementations§
Source§impl<'a> Iterator for Plan<'a>
impl<'a> Iterator for Plan<'a>
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Auto Trait Implementations§
impl<'a> Freeze for Plan<'a>
impl<'a> !RefUnwindSafe for Plan<'a>
impl<'a> Send for Plan<'a>
impl<'a> Sync for Plan<'a>
impl<'a> Unpin for Plan<'a>
impl<'a> !UnwindSafe for Plan<'a>
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