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Current state: Accepted

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To reduce network transmission and skip Plusar management, the new interface will allow users to input the path of some data files(json, numpy, etc.) on MinIO/S3 storage, and let the data nodes directly read these files and parse them into segments. The internal logic of the process becomes:

        1. client calls import() to pass some file paths to Milvus proxy node  

        2. proxy node passes the file paths to data coordinator node

        3. data coordinator node picks a data node or multiple data nodes (according to the sharding number) to parse files, each file can be parsed into a segment or multiple segments.

1.  SDK Interfaces

The python API declaration:

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Code Block
service MilvusService {
  rpc Import(ImportRequest) returns (ImportResponse) {}
  rpc GetImportState(GetImportStateRequest) returns (GetImportStateResponse) {}
}

message ImportRequest {
  string collection_name = 1;  // target collection
  string partition_name = 2;  // target partition
  bool row_based = 3;  // the file is row-based or column-based
  repeated string files = 4;  // file paths to be imported
  repeated common.KeyValuePair options = 5;  // import options
}

message ImportResponse {
  common.Status status = 1;
  repeated int64 tasks = 2;  // id array of import tasks
}

message GetImportStateRequest {
  int64 task = 1;  // id of an animportimport task
}

enum ImportState {
  Pending = 0;
  Executing = 1;
  Completed = 2;
  Failed = 3;
}

message GetImportStateResponse {
  common.Status status = 1;
  boolImportState finishedstate = 2;  // is this import task finished or not
  int64 row_count = 3;  // if the task is finished, this value is how many rows are imported. if the task is not finished, this value is how many rows are parsed.
}

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