From e9fcadb2a31289d82c2ce3c07f8c60ca43d7f93a Mon Sep 17 00:00:00 2001 From: JaySon Date: Tue, 27 Aug 2024 09:53:22 +0800 Subject: [PATCH] *: Add index_id to ANNQueryInfo to support multiple indexes on the same column (#339) * Add index_id to ANNQueryInfo --------- Co-authored-by: Wenxuan --- go-tipb/executor.pb.go | 604 ++++++++++++++++++++++------------------- proto/executor.proto | 5 +- 2 files changed, 325 insertions(+), 284 deletions(-) diff --git a/go-tipb/executor.pb.go b/go-tipb/executor.pb.go index 3f8615ae..601f59fd 100644 --- a/go-tipb/executor.pb.go +++ b/go-tipb/executor.pb.go @@ -935,15 +935,17 @@ func (m *ExchangeReceiver) GetOriginalCtePrdocuerTaskMeta() [][]byte { // ANN = Approximate Nearest Neighbor. For some queries, ANN index can be used. type ANNQueryInfo struct { - QueryType ANNQueryType `protobuf:"varint,1,opt,name=query_type,json=queryType,enum=tipb.ANNQueryType" json:"query_type"` - DistanceMetric VectorDistanceMetric `protobuf:"varint,2,opt,name=distance_metric,json=distanceMetric,enum=tipb.VectorDistanceMetric" json:"distance_metric"` - TopK uint32 `protobuf:"varint,3,opt,name=top_k,json=topK" json:"top_k"` - ColumnName string `protobuf:"bytes,4,opt,name=column_name,json=columnName" json:"column_name"` - ColumnId int64 `protobuf:"varint,5,opt,name=column_id,json=columnId" json:"column_id"` - RefVecF32 []byte `protobuf:"bytes,6,opt,name=ref_vec_f32,json=refVecF32" json:"ref_vec_f32,omitempty"` - MaxDistance float64 `protobuf:"fixed64,10,opt,name=max_distance,json=maxDistance" json:"max_distance"` - HnswEfSearch uint32 `protobuf:"varint,20,opt,name=hnsw_ef_search,json=hnswEfSearch" json:"hnsw_ef_search"` - XXX_unrecognized []byte `json:"-"` + QueryType ANNQueryType `protobuf:"varint,1,opt,name=query_type,json=queryType,enum=tipb.ANNQueryType" json:"query_type"` + DistanceMetric VectorDistanceMetric `protobuf:"varint,2,opt,name=distance_metric,json=distanceMetric,enum=tipb.VectorDistanceMetric" json:"distance_metric"` + TopK uint32 `protobuf:"varint,3,opt,name=top_k,json=topK" json:"top_k"` + ColumnName string `protobuf:"bytes,4,opt,name=column_name,json=columnName" json:"column_name"` + ColumnId *int64 `protobuf:"varint,5,opt,name=column_id,json=columnId" json:"column_id,omitempty"` + RefVecF32 []byte `protobuf:"bytes,6,opt,name=ref_vec_f32,json=refVecF32" json:"ref_vec_f32,omitempty"` + // If index_id >= 0, use the ANN index with this index_id. The column_id is ignored + IndexId int64 `protobuf:"varint,8,opt,name=index_id,json=indexId" json:"index_id"` + MaxDistance float64 `protobuf:"fixed64,10,opt,name=max_distance,json=maxDistance" json:"max_distance"` + HnswEfSearch uint32 `protobuf:"varint,20,opt,name=hnsw_ef_search,json=hnswEfSearch" json:"hnsw_ef_search"` + XXX_unrecognized []byte `json:"-"` } func (m *ANNQueryInfo) Reset() { *m = ANNQueryInfo{} } @@ -980,8 +982,8 @@ func (m *ANNQueryInfo) GetColumnName() string { } func (m *ANNQueryInfo) GetColumnId() int64 { - if m != nil { - return m.ColumnId + if m != nil && m.ColumnId != nil { + return *m.ColumnId } return 0 } @@ -993,6 +995,13 @@ func (m *ANNQueryInfo) GetRefVecF32() []byte { return nil } +func (m *ANNQueryInfo) GetIndexId() int64 { + if m != nil { + return m.IndexId + } + return 0 +} + func (m *ANNQueryInfo) GetMaxDistance() float64 { if m != nil { return m.MaxDistance @@ -3000,15 +3009,20 @@ func (m *ANNQueryInfo) MarshalTo(dAtA []byte) (int, error) { i++ i = encodeVarintExecutor(dAtA, i, uint64(len(m.ColumnName))) i += copy(dAtA[i:], m.ColumnName) - dAtA[i] = 0x28 - i++ - i = encodeVarintExecutor(dAtA, i, uint64(m.ColumnId)) + if m.ColumnId != nil { + dAtA[i] = 0x28 + i++ + i = encodeVarintExecutor(dAtA, i, uint64(*m.ColumnId)) + } if m.RefVecF32 != nil { dAtA[i] = 0x32 i++ i = encodeVarintExecutor(dAtA, i, uint64(len(m.RefVecF32))) i += copy(dAtA[i:], m.RefVecF32) } + dAtA[i] = 0x40 + i++ + i = encodeVarintExecutor(dAtA, i, uint64(m.IndexId)) dAtA[i] = 0x51 i++ encoding_binary.LittleEndian.PutUint64(dAtA[i:], uint64(math.Float64bits(float64(m.MaxDistance)))) @@ -4958,11 +4972,14 @@ func (m *ANNQueryInfo) Size() (n int) { n += 1 + sovExecutor(uint64(m.TopK)) l = len(m.ColumnName) n += 1 + l + sovExecutor(uint64(l)) - n += 1 + sovExecutor(uint64(m.ColumnId)) + if m.ColumnId != nil { + n += 1 + sovExecutor(uint64(*m.ColumnId)) + } if m.RefVecF32 != nil { l = len(m.RefVecF32) n += 1 + l + sovExecutor(uint64(l)) } + n += 1 + sovExecutor(uint64(m.IndexId)) n += 9 n += 2 + sovExecutor(uint64(m.HnswEfSearch)) if m.XXX_unrecognized != nil { @@ -7077,7 +7094,7 @@ func (m *ANNQueryInfo) Unmarshal(dAtA []byte) error { if wireType != 0 { return fmt.Errorf("proto: wrong wireType = %d for field ColumnId", wireType) } - m.ColumnId = 0 + var v int64 for shift := uint(0); ; shift += 7 { if shift >= 64 { return ErrIntOverflowExecutor @@ -7087,11 +7104,12 @@ func (m *ANNQueryInfo) Unmarshal(dAtA []byte) error { } b := dAtA[iNdEx] iNdEx++ - m.ColumnId |= (int64(b) & 0x7F) << shift + v |= (int64(b) & 0x7F) << shift if b < 0x80 { break } } + m.ColumnId = &v case 6: if wireType != 2 { return fmt.Errorf("proto: wrong wireType = %d for field RefVecF32", wireType) @@ -7123,6 +7141,25 @@ func (m *ANNQueryInfo) Unmarshal(dAtA []byte) error { m.RefVecF32 = []byte{} } iNdEx = postIndex + case 8: + if wireType != 0 { + return fmt.Errorf("proto: wrong wireType = %d for field IndexId", wireType) + } + m.IndexId = 0 + for shift := uint(0); ; shift += 7 { + if shift >= 64 { + return ErrIntOverflowExecutor + } + if iNdEx >= l { + return io.ErrUnexpectedEOF + } + b := dAtA[iNdEx] + iNdEx++ + m.IndexId |= (int64(b) & 0x7F) << shift + if b < 0x80 { + break + } + } case 10: if wireType != 1 { return fmt.Errorf("proto: wrong wireType = %d for field MaxDistance", wireType) @@ -12525,270 +12562,271 @@ var ( func init() { proto.RegisterFile("executor.proto", fileDescriptorExecutor) } var fileDescriptorExecutor = []byte{ - // 4235 bytes of a gzipped FileDescriptorProto - 0x1f, 0x8b, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x02, 0xff, 0xcc, 0x5a, 0xcd, 0x73, 0x1b, 0x47, - 0x76, 0x27, 0x40, 0x7c, 0x3e, 0x80, 0xe0, 0xb0, 0x49, 0x49, 0x23, 0x6a, 0x25, 0xd1, 0x58, 0xdb, - 0x52, 0x10, 0x5b, 0xb6, 0x29, 0xad, 0x3f, 0x76, 0xb3, 0x6b, 0xf3, 0xd3, 0x82, 0x45, 0x82, 0xcc, - 0x80, 0x91, 0xf7, 0x90, 0xaa, 0xa9, 0xe1, 0x4c, 0x03, 0x6c, 0x71, 0xbe, 0x34, 0xdd, 0x10, 0x41, - 0x9f, 0xfc, 0x37, 0x24, 0x95, 0x54, 0x6e, 0xa9, 0xca, 0x39, 0x95, 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[(gogoproto.nullable) = false]; // For debug purpose only. Currently only used in explain. - optional int64 column_id = 5 [(gogoproto.nullable) = false]; + optional int64 column_id = 5 [(gogoproto.nullable) = true]; optional bytes ref_vec_f32 = 6; // The reference vector to calculate distance with, with each element is a Float32 reserved 7; // reserved for ref_vec_f64 + // If index_id >= 0, use the ANN index with this index_id. The column_id is ignored + optional int64 index_id = 8 [(gogoproto.nullable) = false]; + optional double max_distance = 10 [(gogoproto.nullable) = false]; // Only for ANNQueryType==Where optional uint32 hnsw_ef_search = 20 [(gogoproto.nullable) = false]; // Only for HNSW indexes