Spaces:
Build error
Build error
File size: 7,617 Bytes
84d2a97 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 |
use std::sync::Arc;
use std::time::Duration;
use common::counter::hardware_accumulator::HwMeasurementAcc;
use futures::FutureExt as _;
use segment::data_types::facets::{FacetParams, FacetResponse};
use segment::data_types::order_by::OrderBy;
use segment::types::*;
use super::ShardReplicaSet;
use crate::operations::consistency_params::ReadConsistency;
use crate::operations::types::*;
use crate::operations::universal_query::shard_query::{ShardQueryRequest, ShardQueryResponse};
impl ShardReplicaSet {
#[allow(clippy::too_many_arguments)]
pub async fn scroll_by(
&self,
offset: Option<ExtendedPointId>,
limit: usize,
with_payload_interface: &WithPayloadInterface,
with_vector: &WithVector,
filter: Option<&Filter>,
read_consistency: Option<ReadConsistency>,
local_only: bool,
order_by: Option<&OrderBy>,
timeout: Option<Duration>,
) -> CollectionResult<Vec<RecordInternal>> {
let with_payload_interface = Arc::new(with_payload_interface.clone());
let with_vector = Arc::new(with_vector.clone());
let filter = filter.map(|filter| Arc::new(filter.clone()));
let order_by = order_by.map(|order_by| Arc::new(order_by.clone()));
self.execute_and_resolve_read_operation(
|shard| {
let with_payload_interface = with_payload_interface.clone();
let with_vector = with_vector.clone();
let filter = filter.clone();
let search_runtime = self.search_runtime.clone();
let order_by = order_by.clone();
async move {
shard
.scroll_by(
offset,
limit,
&with_payload_interface,
&with_vector,
filter.as_deref(),
&search_runtime,
order_by.as_deref(),
timeout,
)
.await
}
.boxed()
},
read_consistency,
local_only,
)
.await
}
pub async fn core_search(
&self,
request: Arc<CoreSearchRequestBatch>,
read_consistency: Option<ReadConsistency>,
local_only: bool,
timeout: Option<Duration>,
hw_measurement_acc: &HwMeasurementAcc,
) -> CollectionResult<Vec<Vec<ScoredPoint>>> {
self.execute_and_resolve_read_operation(
|shard| {
let request = Arc::clone(&request);
let search_runtime = self.search_runtime.clone();
let hardware_collector = hw_measurement_acc.new_collector();
async move {
shard
.core_search(request, &search_runtime, timeout, &hardware_collector)
.await
}
.boxed()
},
read_consistency,
local_only,
)
.await
}
pub async fn count(
&self,
request: Arc<CountRequestInternal>,
read_consistency: Option<ReadConsistency>,
timeout: Option<Duration>,
local_only: bool,
hw_measurement_acc: &HwMeasurementAcc,
) -> CollectionResult<CountResult> {
self.execute_and_resolve_read_operation(
|shard| {
let request = request.clone();
let search_runtime = self.search_runtime.clone();
let hw_collector = hw_measurement_acc.new_collector();
async move {
shard
.count(request, &search_runtime, timeout, &hw_collector)
.await
}
.boxed()
},
read_consistency,
local_only,
)
.await
}
pub async fn retrieve(
&self,
request: Arc<PointRequestInternal>,
with_payload: &WithPayload,
with_vector: &WithVector,
read_consistency: Option<ReadConsistency>,
timeout: Option<Duration>,
local_only: bool,
) -> CollectionResult<Vec<RecordInternal>> {
let with_payload = Arc::new(with_payload.clone());
let with_vector = Arc::new(with_vector.clone());
self.execute_and_resolve_read_operation(
|shard| {
let request = request.clone();
let with_payload = with_payload.clone();
let with_vector = with_vector.clone();
let search_runtime = self.search_runtime.clone();
async move {
shard
.retrieve(
request,
&with_payload,
&with_vector,
&search_runtime,
timeout,
)
.await
}
.boxed()
},
read_consistency,
local_only,
)
.await
}
pub async fn info(&self, local_only: bool) -> CollectionResult<CollectionInfo> {
self.execute_read_operation(
|shard| async move { shard.info().await }.boxed(),
local_only,
)
.await
}
pub async fn count_local(
&self,
request: Arc<CountRequestInternal>,
timeout: Option<Duration>,
hw_measurement_acc: &HwMeasurementAcc,
) -> CollectionResult<Option<CountResult>> {
let local = self.local.read().await;
match &*local {
None => Ok(None),
Some(shard) => {
let search_runtime = self.search_runtime.clone();
Ok(Some(
shard
.get()
.count(request, &search_runtime, timeout, hw_measurement_acc)
.await?,
))
}
}
}
pub async fn query_batch(
&self,
requests: Arc<Vec<ShardQueryRequest>>,
read_consistency: Option<ReadConsistency>,
local_only: bool,
timeout: Option<Duration>,
hw_measurement_acc: &HwMeasurementAcc,
) -> CollectionResult<Vec<ShardQueryResponse>> {
self.execute_and_resolve_read_operation(
|shard| {
let requests = Arc::clone(&requests);
let search_runtime = self.search_runtime.clone();
let hw_collector = hw_measurement_acc.new_collector();
async move {
shard
.query_batch(requests, &search_runtime, timeout, &hw_collector)
.await
}
.boxed()
},
read_consistency,
local_only,
)
.await
}
pub async fn facet(
&self,
request: Arc<FacetParams>,
read_consistency: Option<ReadConsistency>,
local_only: bool,
timeout: Option<Duration>,
) -> CollectionResult<FacetResponse> {
self.execute_and_resolve_read_operation(
|shard| {
let request = request.clone();
let search_runtime = self.search_runtime.clone();
async move { shard.facet(request, &search_runtime, timeout).await }.boxed()
},
read_consistency,
local_only,
)
.await
}
}
|