udb 0.4.21

Universal Data Broker — a Rust gRPC broker over multiple databases (Postgres, MySQL, SQLite, MongoDB, ClickHouse, Cassandra, MSSQL, Redis, Qdrant, S3, Neo4j, …) with per-tenant RLS, 2PC, sagas, and CDC.
Documentation 
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
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256

//! service.rs split — vector RPC handlers (Phase G).
use super::*;

fn vector_hybrid_search_unsupported_status() -> Status {
    crate::runtime::executor_utils::capability_status(
        "qdrant",
        "VectorHybridSearch",
        "hybrid_search",
        "backend qdrant does not support hybrid_search",
    )
}

impl DataBrokerService {
    pub(crate) async fn vector_search_inner(
        &self,
        request: Request<VectorSearchRequest>,
    ) -> Result<Response<VectorSet>, Status> {
        let started = Instant::now();
        let security = match security_from_request(&request) {
            Ok(s) => s,
            Err(e) => return self.record_grpc("VectorSearch", started, Err(e)),
        };
        let request = request.into_inner();
        if let Err(err) = self
            .authorize(&security, &request.collection, "VectorSearch")
            .await
        {
            return self.record_grpc("VectorSearch", started, Err(err));
        }
        self.metrics.inc_vector_op(&request.collection, "search");
        let manifest = &self.catalog.active_for(&security.project_id).manifest;
        let runtime = self.runtime_snapshot();
        let metadata_context = security.request_context();
        let execution_context = metadata_context.clone();
        let response_context = metadata_context.clone();
        let result = self
            .execute_with_channel_scoped(
                crate::runtime::channels::OperationChannel::Vector,
                Some(&metadata_context),
                Some("qdrant"),
                || async move {
                    runtime
                        .vector_search(manifest, request, execution_context)
                        .await
                },
            )
            .await;

        match result {
            Ok(res) => self.record_grpc(
                "VectorSearch",
                started,
                Ok(self.with_catalog_response_headers(Response::new(res), &response_context)),
            ),
            Err(err) => self.record_grpc("VectorSearch", started, Err(err)),
        }
    }

    pub(crate) async fn vector_hybrid_search_inner(
        &self,
        request: Request<VectorHybridSearchRequest>,
    ) -> Result<Response<VectorSet>, Status> {
        let started = Instant::now();
        let security = match security_from_request(&request) {
            Ok(s) => s,
            Err(e) => return self.record_grpc("VectorHybridSearch", started, Err(e)),
        };
        let request = request.into_inner();
        if let Err(err) = self
            .authorize(&security, &request.collection, "VectorHybridSearch")
            .await
        {
            return self.record_grpc("VectorHybridSearch", started, Err(err));
        }
        // Capability guard: hybrid search requires sparse + dense index support.
        {
            use crate::planning::backend::BackendKind;
            let cap = BackendKind::Qdrant.capabilities();
            if !cap.supports_hybrid_search {
                return self.record_grpc(
                    "VectorHybridSearch",
                    started,
                    Err(vector_hybrid_search_unsupported_status()),
                );
            }
        }
        self.metrics
            .inc_vector_op(&request.collection, "hybrid_search");
        let manifest = &self.catalog.active_for(&security.project_id).manifest;
        let runtime = self.runtime_snapshot();
        let metadata_context = security.request_context();
        let execution_context = metadata_context.clone();
        let response_context = metadata_context.clone();
        let result = self
            .execute_with_channel_scoped(
                crate::runtime::channels::OperationChannel::Vector,
                Some(&metadata_context),
                Some("qdrant"),
                || async move {
                    runtime
                        .vector_hybrid_search(manifest, request, execution_context)
                        .await
                },
            )
            .await;

        match result {
            Ok(res) => self.record_grpc(
                "VectorHybridSearch",
                started,
                Ok(self.with_catalog_response_headers(Response::new(res), &response_context)),
            ),
            Err(err) => self.record_grpc("VectorHybridSearch", started, Err(err)),
        }
    }

    pub(crate) async fn vector_upsert_inner(
        &self,
        request: Request<VectorUpsertRequest>,
    ) -> Result<Response<MutationResponse>, Status> {
        let started = Instant::now();
        let security = match security_from_request(&request) {
            Ok(s) => s,
            Err(e) => return self.record_grpc("VectorUpsert", started, Err(e)),
        };
        let request = request.into_inner();
        if let Err(err) = self
            .authorize(&security, &request.collection, "VectorUpsert")
            .await
        {
            return self.record_grpc("VectorUpsert", started, Err(err));
        }
        self.metrics.inc_vector_op(&request.collection, "upsert");
        let manifest = &self.catalog.active_for(&security.project_id).manifest;
        let runtime = self.runtime_snapshot();
        let metadata_context = security.request_context();
        let execution_context = metadata_context.clone();
        let response_context = metadata_context.clone();
        let result = self
            .execute_with_channel_scoped(
                crate::runtime::channels::OperationChannel::Vector,
                Some(&metadata_context),
                Some("qdrant"),
                || async move {
                    runtime
                        .vector_upsert(manifest, request, execution_context)
                        .await
                },
            )
            .await;

        match result {
            Ok(res) => self.record_grpc(
                "VectorUpsert",
                started,
                Ok(self
                    .with_mutation_response_headers(res, &response_context)
                    .await),
            ),
            Err(err) => self.record_grpc("VectorUpsert", started, Err(err)),
        }
    }

    pub(crate) async fn vector_batch_upsert_inner(
        &self,
        request: Request<tonic::Streaming<VectorUpsertRequest>>,
    ) -> Result<Response<ResponseStream<MutationResponse>>, Status> {
        let (started, security) = authorized_call!(self, request, "VectorBatchUpsert");
        let metadata_context = security.request_context();
        let response_context = metadata_context.clone();
        // Arc::clone the active manifest into the stream instead of deep-copying
        // the whole CatalogManifest (matches the data batch handlers) — #137.
        let manifest = self
            .catalog
            .active_for(&security.project_id)
            .manifest
            .clone();
        let runtime = self.runtime_snapshot().clone();
        let mut stream = request.into_inner();
        let metrics = self.metrics.clone();
        let channels = self.runtime_snapshot().channels().clone();
        let security_for_stream = security.clone();
        // #112: per-item authorization — the batch grant covered only
        // "VectorBatchUpsert", not each streamed item's target collection.
        // Casbin-only per-item authz (see batch_select_inner): capture the
        // cloneable snapshot and decide each item via `casbin_authorize`.
        let abac_snapshot = self.current_authz_snapshot();
        let out = async_stream::try_stream! {
            while let Some(item) = stream.message().await? {
                metrics.inc_vector_op(&item.collection, "batch_upsert");
                // #112: authorize THIS item's collection + stamp its decision id.
                let item_decision_id = DataBrokerService::authorize_message_item(
                    &abac_snapshot,
                    &security_for_stream,
                    &item.collection,
                    "VectorUpsert",
                )
                .await?;
                let item_context =
                    security_for_stream.request_context_with_decision(&item_decision_id);
                // FIX-77: admission + inflight gauge + per-item deadline +
                // latency + timeout mapping all live in the shared helper.
                let val = super::native_helpers::execute_stream_batch_item(
                    &channels,
                    &metrics,
                    &metadata_context,
                    crate::runtime::channels::OperationChannel::Vector,
                    "qdrant",
                    runtime.vector_upsert(&manifest, item, item_context),
                )
                .await?;
                yield val;
            }
        };
        self.record_grpc(
            "VectorBatchUpsert",
            started,
            Ok(self.with_catalog_response_headers(
                Response::new(Box::pin(out) as ResponseStream<MutationResponse>),
                &response_context,
            )),
        )
    }
}

#[cfg(test)]
mod tests {
    use super::*;
    use crate::proto::{ErrorDetail, ErrorKind};
    use crate::runtime::executor_utils::ERROR_DETAIL_METADATA_KEY;

    fn decode_detail(status: &Status) -> ErrorDetail {
        let raw = status
            .metadata()
            .get_bin(ERROR_DETAIL_METADATA_KEY)
            .expect("typed detail trailer is present");
        crate::runtime::executor_utils::decode_error_detail_from_raw(&raw)
    }

    #[test]
    fn vector_hybrid_search_unsupported_carries_capability_detail() {
        let err = vector_hybrid_search_unsupported_status();
        assert_eq!(err.code(), tonic::Code::FailedPrecondition);
        assert_eq!(
            err.message(),
            "backend qdrant does not support hybrid_search"
        );
        let detail = decode_detail(&err);
        assert_eq!(detail.kind, ErrorKind::Capability as i32);
        assert_eq!(detail.backend, "qdrant");
        assert_eq!(detail.operation, "VectorHybridSearch");
        assert_eq!(detail.capability_required, "hybrid_search");
        assert!(!detail.retryable);
        assert_eq!(detail.retry_after_ms, 0);
    }
}