import logging import time import datetime from collections import defaultdict import multiprocessing from concurrent.futures import ThreadPoolExecutor from milvus.grpc_gen import milvus_pb2, milvus_pb2_grpc, status_pb2 from milvus.grpc_gen.milvus_pb2 import TopKQueryResult from milvus.client.abstract import Range from milvus.client import types as Types from mishards import (db, settings, exceptions) from mishards.grpc_utils import mark_grpc_method from mishards.grpc_utils.grpc_args_parser import GrpcArgsParser as Parser from mishards import utilities logger = logging.getLogger(__name__) class ServiceHandler(milvus_pb2_grpc.MilvusServiceServicer): MAX_NPROBE = 2048 MAX_TOPK = 2048 def __init__(self, tracer, router, max_workers=multiprocessing.cpu_count(), **kwargs): self.table_meta = {} self.error_handlers = {} self.tracer = tracer self.router = router self.max_workers = max_workers def _reduce(self, source_ids, ids, source_diss, diss, k, reverse): if source_diss[k - 1] <= diss[0]: return source_ids, source_diss if diss[k - 1] <= source_diss[0]: return ids, diss source_diss.extend(diss) diss_t = enumerate(source_diss) diss_m_rst = sorted(diss_t, key=lambda x: x[1])[:k] diss_m_out = [id_ for _, id_ in diss_m_rst] source_ids.extend(ids) id_m_out = [source_ids[i] for i, _ in diss_m_rst] return id_m_out, diss_m_out def _do_merge(self, files_n_topk_results, topk, reverse=False, **kwargs): status = status_pb2.Status(error_code=status_pb2.SUCCESS, reason="Success") if not files_n_topk_results: return status, [] merge_id_results = [] merge_dis_results = [] calc_time = time.time() for files_collection in files_n_topk_results: if isinstance(files_collection, tuple): status, _ = files_collection return status, [] row_num = files_collection.row_num ids = files_collection.ids diss = files_collection.distances # distance collections # TODO: batch_len is equal to topk, may need to compare with topk batch_len = len(ids) // row_num for row_index in range(row_num): id_batch = ids[row_index * batch_len: (row_index + 1) * batch_len] dis_batch = diss[row_index * batch_len: (row_index + 1) * batch_len] if len(merge_id_results) < row_index: raise ValueError("merge error") elif len(merge_id_results) == row_index: # TODO: may bug here merge_id_results.append(id_batch) merge_dis_results.append(dis_batch) else: merge_id_results[row_index], merge_dis_results[row_index] = \ self._reduce(merge_id_results[row_index], id_batch, merge_dis_results[row_index], dis_batch, batch_len, reverse) calc_time = time.time() - calc_time logger.info('Merge takes {}'.format(calc_time)) id_mrege_list = [] dis_mrege_list = [] for id_results, dis_results in zip(merge_id_results, merge_dis_results): id_mrege_list.extend(id_results) dis_mrege_list.extend(dis_results) return status, id_mrege_list, dis_mrege_list def _do_query(self, context, table_id, table_meta, vectors, topk, nprobe, range_array=None, **kwargs): metadata = kwargs.get('metadata', None) range_array = [ utilities.range_to_date(r, metadata=metadata) for r in range_array ] if range_array else None routing = {} p_span = None if self.tracer.empty else context.get_active_span( ).context with self.tracer.start_span('get_routing', child_of=p_span): routing = self.router.routing(table_id, range_array=range_array, metadata=metadata) logger.info('Routing: {}'.format(routing)) metadata = kwargs.get('metadata', None) rs = [] all_topk_results = [] def search(addr, query_params, vectors, topk, nprobe, **kwargs): logger.info( 'Send Search Request: addr={};params={};nq={};topk={};nprobe={}' .format(addr, query_params, len(vectors), topk, nprobe)) conn = self.router.query_conn(addr, metadata=metadata) start = time.time() span = kwargs.get('span', None) span = span if span else (None if self.tracer.empty else context.get_active_span().context) with self.tracer.start_span('search_{}'.format(addr), child_of=span): ret = conn.search_vectors_in_files( table_name=query_params['table_id'], file_ids=query_params['file_ids'], query_records=vectors, top_k=topk, nprobe=nprobe ) end = time.time() logger.info('search_vectors_in_files takes: {}'.format(end - start)) all_topk_results.append(ret) with self.tracer.start_span('do_search', child_of=p_span) as span: with ThreadPoolExecutor(max_workers=self.max_workers) as pool: for addr, params in routing.items(): res = pool.submit(search, addr, params, vectors, topk, nprobe, span=span) rs.append(res) for res in rs: res.result() reverse = table_meta.metric_type == Types.MetricType.IP with self.tracer.start_span('do_merge', child_of=p_span): return self._do_merge(all_topk_results, topk, reverse=reverse, metadata=metadata) def _create_table(self, table_schema): return self.router.connection().create_table(table_schema) @mark_grpc_method def CreateTable(self, request, context): _status, _table_schema = Parser.parse_proto_TableSchema(request) if not _status.OK(): return status_pb2.Status(error_code=_status.code, reason=_status.message) logger.info('CreateTable {}'.format(_table_schema['table_name'])) _status = self._create_table(_table_schema) return status_pb2.Status(error_code=_status.code, reason=_status.message) def _has_table(self, table_name, metadata=None): return self.router.connection(metadata=metadata).has_table(table_name) @mark_grpc_method def HasTable(self, request, context): _status, _table_name = Parser.parse_proto_TableName(request) if not _status.OK(): return milvus_pb2.BoolReply(status=status_pb2.Status( error_code=_status.code, reason=_status.message), bool_reply=False) logger.info('HasTable {}'.format(_table_name)) _status, _bool = self._has_table(_table_name, metadata={'resp_class': milvus_pb2.BoolReply}) return milvus_pb2.BoolReply(status=status_pb2.Status( error_code=_status.code, reason=_status.message), bool_reply=_bool) def _delete_table(self, table_name): return self.router.connection().delete_table(table_name) @mark_grpc_method def DropTable(self, request, context): _status, _table_name = Parser.parse_proto_TableName(request) if not _status.OK(): return status_pb2.Status(error_code=_status.code, reason=_status.message) logger.info('DropTable {}'.format(_table_name)) _status = self._delete_table(_table_name) return status_pb2.Status(error_code=_status.code, reason=_status.message) def _create_index(self, table_name, index): return self.router.connection().create_index(table_name, index) @mark_grpc_method def CreateIndex(self, request, context): _status, unpacks = Parser.parse_proto_IndexParam(request) if not _status.OK(): return status_pb2.Status(error_code=_status.code, reason=_status.message) _table_name, _index = unpacks logger.info('CreateIndex {}'.format(_table_name)) # TODO: interface create_table incompleted _status = self._create_index(_table_name, _index) return status_pb2.Status(error_code=_status.code, reason=_status.message) def _add_vectors(self, param, metadata=None): return self.router.connection(metadata=metadata).add_vectors( None, None, insert_param=param) @mark_grpc_method def Insert(self, request, context): logger.info('Insert') # TODO: Ths SDK interface add_vectors() could update, add a key 'row_id_array' _status, _ids = self._add_vectors( metadata={'resp_class': milvus_pb2.VectorIds}, param=request) return milvus_pb2.VectorIds(status=status_pb2.Status( error_code=_status.code, reason=_status.message), vector_id_array=_ids) @mark_grpc_method def Search(self, request, context): table_name = request.table_name topk = request.topk nprobe = request.nprobe logger.info('Search {}: topk={} nprobe={}'.format( table_name, topk, nprobe)) metadata = {'resp_class': milvus_pb2.TopKQueryResult} if nprobe > self.MAX_NPROBE or nprobe <= 0: raise exceptions.InvalidArgumentError( message='Invalid nprobe: {}'.format(nprobe), metadata=metadata) if topk > self.MAX_TOPK or topk <= 0: raise exceptions.InvalidTopKError( message='Invalid topk: {}'.format(topk), metadata=metadata) table_meta = self.table_meta.get(table_name, None) if not table_meta: status, info = self.router.connection( metadata=metadata).describe_table(table_name) if not status.OK(): raise exceptions.TableNotFoundError(table_name, metadata=metadata) self.table_meta[table_name] = info table_meta = info start = time.time() query_record_array = [] for query_record in request.query_record_array: query_record_array.append(list(query_record.vector_data)) query_range_array = [] for query_range in request.query_range_array: query_range_array.append( Range(query_range.start_value, query_range.end_value)) status, id_results, dis_results = self._do_query(context, table_name, table_meta, query_record_array, topk, nprobe, query_range_array, metadata=metadata) now = time.time() logger.info('SearchVector takes: {}'.format(now - start)) topk_result_list = milvus_pb2.TopKQueryResult( status=status_pb2.Status(error_code=status.error_code, reason=status.reason), row_num=len(query_record_array), ids=id_results, distances=dis_results) return topk_result_list @mark_grpc_method def SearchInFiles(self, request, context): raise NotImplemented() def _describe_table(self, table_name, metadata=None): return self.router.connection(metadata=metadata).describe_table(table_name) @mark_grpc_method def DescribeTable(self, request, context): _status, _table_name = Parser.parse_proto_TableName(request) if not _status.OK(): return milvus_pb2.TableSchema(status=status_pb2.Status( error_code=_status.code, reason=_status.message), ) metadata = {'resp_class': milvus_pb2.TableSchema} logger.info('DescribeTable {}'.format(_table_name)) _status, _table = self._describe_table(metadata=metadata, table_name=_table_name) if _status.OK(): return milvus_pb2.TableSchema( table_name=_table_name, index_file_size=_table.index_file_size, dimension=_table.dimension, metric_type=_table.metric_type, status=status_pb2.Status(error_code=_status.code, reason=_status.message), ) return milvus_pb2.TableSchema( table_name=_table_name, status=status_pb2.Status(error_code=_status.code, reason=_status.message), ) def _count_table(self, table_name, metadata=None): return self.router.connection( metadata=metadata).get_table_row_count(table_name) @mark_grpc_method def CountTable(self, request, context): _status, _table_name = Parser.parse_proto_TableName(request) if not _status.OK(): status = status_pb2.Status(error_code=_status.code, reason=_status.message) return milvus_pb2.TableRowCount(status=status) logger.info('CountTable {}'.format(_table_name)) metadata = {'resp_class': milvus_pb2.TableRowCount} _status, _count = self._count_table(_table_name, metadata=metadata) return milvus_pb2.TableRowCount( status=status_pb2.Status(error_code=_status.code, reason=_status.message), table_row_count=_count if isinstance(_count, int) else -1) def _get_server_version(self, metadata=None): return self.router.connection(metadata=metadata).server_version() @mark_grpc_method def Cmd(self, request, context): _status, _cmd = Parser.parse_proto_Command(request) logger.info('Cmd: {}'.format(_cmd)) if not _status.OK(): return milvus_pb2.StringReply(status=status_pb2.Status( error_code=_status.code, reason=_status.message)) metadata = {'resp_class': milvus_pb2.StringReply} if _cmd == 'version': _status, _reply = self._get_server_version(metadata=metadata) else: _status, _reply = self.router.connection( metadata=metadata).server_status() return milvus_pb2.StringReply(status=status_pb2.Status( error_code=_status.code, reason=_status.message), string_reply=_reply) def _show_tables(self, metadata=None): return self.router.connection(metadata=metadata).show_tables() @mark_grpc_method def ShowTables(self, request, context): logger.info('ShowTables') metadata = {'resp_class': milvus_pb2.TableName} _status, _results = self._show_tables(metadata=metadata) return milvus_pb2.TableNameList(status=status_pb2.Status( error_code=_status.code, reason=_status.message), table_names=_results) def _delete_by_range(self, table_name, start_date, end_date): return self.router.connection().delete_vectors_by_range(table_name, start_date, end_date) @mark_grpc_method def DeleteByRange(self, request, context): _status, unpacks = \ Parser.parse_proto_DeleteByRangeParam(request) if not _status.OK(): return status_pb2.Status(error_code=_status.code, reason=_status.message) _table_name, _start_date, _end_date = unpacks logger.info('DeleteByRange {}: {} {}'.format(_table_name, _start_date, _end_date)) _status = self._delete_by_range(_table_name, _start_date, _end_date) return status_pb2.Status(error_code=_status.code, reason=_status.message) def _preload_table(self, table_name): return self.router.connection().preload_table(table_name) @mark_grpc_method def PreloadTable(self, request, context): _status, _table_name = Parser.parse_proto_TableName(request) if not _status.OK(): return status_pb2.Status(error_code=_status.code, reason=_status.message) logger.info('PreloadTable {}'.format(_table_name)) _status = self._preload_table(_table_name) return status_pb2.Status(error_code=_status.code, reason=_status.message) def _describe_index(self, table_name, metadata=None): return self.router.connection(metadata=metadata).describe_index(table_name) @mark_grpc_method def DescribeIndex(self, request, context): _status, _table_name = Parser.parse_proto_TableName(request) if not _status.OK(): return milvus_pb2.IndexParam(status=status_pb2.Status( error_code=_status.code, reason=_status.message)) metadata = {'resp_class': milvus_pb2.IndexParam} logger.info('DescribeIndex {}'.format(_table_name)) _status, _index_param = self._describe_index(table_name=_table_name, metadata=metadata) if not _index_param: return milvus_pb2.IndexParam(status=status_pb2.Status( error_code=_status.code, reason=_status.message)) _index = milvus_pb2.Index(index_type=_index_param._index_type, nlist=_index_param._nlist) return milvus_pb2.IndexParam(status=status_pb2.Status( error_code=_status.code, reason=_status.message), table_name=_table_name, index=_index) def _drop_index(self, table_name): return self.router.connection().drop_index(table_name) @mark_grpc_method def DropIndex(self, request, context): _status, _table_name = Parser.parse_proto_TableName(request) if not _status.OK(): return status_pb2.Status(error_code=_status.code, reason=_status.message) logger.info('DropIndex {}'.format(_table_name)) _status = self._drop_index(_table_name) return status_pb2.Status(error_code=_status.code, reason=_status.message)