risingwave_frontend/optimizer/plan_node/
stream_vector_index_write.rs1use std::num::NonZeroU32;
16
17use itertools::Itertools;
18use pretty_xmlish::{Pretty, XmlNode};
19use risingwave_common::catalog::{
20 ColumnCatalog, ConflictBehavior, CreateType, Engine, StreamJobStatus, TableId,
21};
22use risingwave_common::hash::VnodeCount;
23use risingwave_common::id::FragmentId;
24use risingwave_common::util::iter_util::ZipEqFast;
25use risingwave_pb::catalog::PbVectorIndexInfo;
26use risingwave_pb::stream_plan::stream_node::PbNodeBody;
27
28use crate::TableCatalog;
29use crate::catalog::table_catalog::TableType;
30use crate::catalog::{DatabaseId, SchemaId};
31use crate::error::ErrorCode;
32use crate::optimizer::StreamOptimizedLogicalPlanRoot;
33use crate::optimizer::plan_node::derive::{derive_columns, derive_pk};
34use crate::optimizer::plan_node::expr_visitable::ExprVisitable;
35use crate::optimizer::plan_node::generic::{GenericPlanRef, PhysicalPlanRef};
36use crate::optimizer::plan_node::stream::StreamPlanNodeMetadata;
37use crate::optimizer::plan_node::utils::{Distill, childless_record, plan_can_use_background_ddl};
38use crate::optimizer::plan_node::{
39 ExprRewritable, PlanBase, PlanNodeMeta, PlanTreeNodeUnary, Stream, StreamNode,
40 StreamPlanRef as PlanRef, reorganize_elements_id,
41};
42use crate::optimizer::property::{Cardinality, Distribution, Order, RequiredDist, StreamKind};
43use crate::stream_fragmenter::BuildFragmentGraphState;
44
45#[derive(Debug, Clone, PartialEq, Eq, Hash)]
46pub struct StreamVectorIndexWrite {
47 pub base: PlanBase<Stream>,
48 input: PlanRef,
50 table: TableCatalog,
51}
52
53impl StreamVectorIndexWrite {
54 fn new(input: PlanRef, table: TableCatalog) -> crate::error::Result<Self> {
55 if input.stream_kind() != StreamKind::AppendOnly {
56 return Err(ErrorCode::NotSupported(
57 "cannot create vector index on non-append-only workflow".to_owned(),
58 "try create vector index on append only workflow".to_owned(),
59 )
60 .into());
61 }
62 let base = PlanBase::new_stream(
63 input.ctx(),
64 input.schema().clone(),
65 Some(table.stream_key()),
66 input.functional_dependency().clone(),
67 input.distribution().clone(),
68 StreamKind::AppendOnly,
69 input.emit_on_window_close(),
70 input.watermark_columns().clone(),
71 input.columns_monotonicity().clone(),
72 );
73 Ok(Self { base, input, table })
74 }
75
76 pub fn create(
77 StreamOptimizedLogicalPlanRoot {
78 plan: input,
79 required_dist: user_distributed_by,
80 required_order: user_order_by,
81 out_fields: user_cols,
82 out_names,
83 ..
84 }: StreamOptimizedLogicalPlanRoot,
85 name: String,
86 database_id: DatabaseId,
87 schema_id: SchemaId,
88 definition: String,
89 cardinality: Cardinality,
90 retention_seconds: Option<NonZeroU32>,
91 vector_index_info: PbVectorIndexInfo,
92 ) -> crate::error::Result<Self> {
93 let input = RequiredDist::PhysicalDist(Distribution::Single)
94 .streaming_enforce_if_not_satisfies(input)?;
95 let input = reorganize_elements_id(input);
97 let columns = derive_columns(input.schema(), out_names, &user_cols)?;
98
99 let create_type = if input.ctx().session_ctx().config().background_ddl()
100 && plan_can_use_background_ddl(&input)
101 {
102 CreateType::Background
103 } else {
104 CreateType::Foreground
105 };
106
107 let table = Self::derive_table_catalog(
108 input.clone(),
109 name,
110 database_id,
111 schema_id,
112 user_distributed_by,
113 user_order_by,
114 columns,
115 definition,
116 cardinality,
117 retention_seconds,
118 create_type,
119 vector_index_info,
120 )?;
121
122 Self::new(input, table)
123 }
124
125 #[expect(clippy::too_many_arguments)]
126 fn derive_table_catalog(
127 rewritten_input: PlanRef,
128 name: String,
129 database_id: DatabaseId,
130 schema_id: SchemaId,
131 user_distributed_by: RequiredDist,
132 user_order_by: Order,
133 columns: Vec<ColumnCatalog>,
134 definition: String,
135 cardinality: Cardinality,
136 retention_seconds: Option<NonZeroU32>,
137 create_type: CreateType,
138 vector_index_info: PbVectorIndexInfo,
139 ) -> crate::error::Result<TableCatalog> {
140 let input = rewritten_input;
141
142 let value_indices = (0..columns.len()).collect_vec();
143 assert_eq!(input.distribution(), &Distribution::Single);
144 let distribution_key = vec![];
145 let append_only = input.append_only();
146 let watermark_columns = input.watermark_columns().indices().collect();
149
150 let (table_pk, stream_key) = derive_pk(input, user_distributed_by, user_order_by, &columns);
151 let read_prefix_len_hint = 0;
156 Ok(TableCatalog {
159 id: TableId::placeholder(),
160 schema_id,
161 database_id,
162 associated_source_id: None,
163 name,
164 columns,
165 pk: table_pk,
166 stream_key,
167 distribution_key,
168 table_type: TableType::VectorIndex,
169 append_only,
170 owner: risingwave_common::catalog::DEFAULT_SUPER_USER_ID,
171 fragment_id: FragmentId::placeholder(),
172 dml_fragment_id: None,
173 vnode_col_index: None,
174 row_id_index: None,
175 value_indices,
176 definition,
177 conflict_behavior: ConflictBehavior::NoCheck,
178 version_column_indices: vec![],
179 read_prefix_len_hint,
180 version: None,
181 watermark_columns,
182 dist_key_in_pk: vec![],
183 cardinality,
184 created_at_epoch: None,
185 initialized_at_epoch: None,
186 create_type,
187 stream_job_status: StreamJobStatus::Creating,
188 description: None,
189 initialized_at_cluster_version: None,
190 created_at_cluster_version: None,
191 retention_seconds: retention_seconds.map(|i| i.into()),
192 cdc_table_id: None,
193 vnode_count: VnodeCount::Singleton, webhook_info: None,
195 job_id: None,
196 engine: Engine::Hummock,
197 clean_watermark_index_in_pk: None,
198 clean_watermark_indices: vec![],
199 refreshable: false,
200 vector_index_info: Some(vector_index_info),
201 cdc_table_type: None,
202 })
203 }
204
205 pub(crate) fn table(&self) -> &TableCatalog {
206 &self.table
207 }
208}
209
210impl Distill for StreamVectorIndexWrite {
211 fn distill<'a>(&self) -> XmlNode<'a> {
212 let table = self.table();
213
214 let vector_column_name = Pretty::from(table.columns[0].name().to_owned());
215
216 let column_names = (table.columns.iter())
217 .map(|col| col.name_with_hidden().to_string())
218 .map(Pretty::from)
219 .collect();
220
221 let stream_key = (table.stream_key().iter())
222 .map(|&k| table.columns[k].name().to_owned())
223 .map(Pretty::from)
224 .collect();
225
226 let vec = vec![
227 ("vector_column", vector_column_name),
228 ("columns", Pretty::Array(column_names)),
229 ("stream_key", Pretty::Array(stream_key)),
230 ];
231
232 childless_record("StreamVectorIndexWrite", vec)
233 }
234}
235
236impl PlanTreeNodeUnary<Stream> for StreamVectorIndexWrite {
237 fn input(&self) -> PlanRef {
238 self.input.clone()
239 }
240
241 fn clone_with_input(&self, input: PlanRef) -> Self {
242 let new = Self::new(input, self.table().clone()).unwrap();
243 new.base
244 .schema()
245 .fields
246 .iter()
247 .zip_eq_fast(self.base.schema().fields.iter())
248 .for_each(|(a, b)| {
249 assert_eq!(a.data_type, b.data_type);
250 });
251 assert_eq!(new.plan_base().stream_key(), self.plan_base().stream_key());
252 new
253 }
254}
255
256impl_plan_tree_node_for_unary! { Stream, StreamVectorIndexWrite }
257
258impl StreamNode for StreamVectorIndexWrite {
259 fn to_stream_prost_body(&self, _state: &mut BuildFragmentGraphState) -> PbNodeBody {
260 use risingwave_pb::stream_plan::*;
261
262 let table = self.table();
263 PbNodeBody::VectorIndexWrite(Box::new(VectorIndexWriteNode {
264 table: Some(table.to_prost()),
265 }))
266 }
267}
268
269impl ExprRewritable<Stream> for StreamVectorIndexWrite {}
270
271impl ExprVisitable for StreamVectorIndexWrite {}