Python

RemoteBulkWriter

A RemoteBulkWriter instance writes your raw data in a format that Milvus understands into an AWS-S3-compatible bucket.

class pymilvus.RemoteBulkWriter

Constructor

Constructs a RemoteBulkWriter object with a set of parameters, such as schema, remote_path, connect_param etc.

notes

A RemoteBulkWriter object intends to rewrite your raw data in a format that Milvus understands into an AWS-S3-compatible bucket.

from pymilvus import CollectionSchema, RemoteBulkWriter, BulkFileType

writer = RemoteBulkWriter(
    schema=CollectionSchema(),
    remote_path="string",
    connect_param=RemoteBulkWriter.ConnectParam()
    segment_size=512*1024*1024,
    file_type=BulkFileType.NPY
)

PARAMETERS:

schema (CollectionSchema) -

[REQUIRED]

The schema of a target collection to which the rewritten data is to be imported.
remote_path (str) -

[REQUIRED]

The path to the directory that is to hold the rewritten data.
connect_param (ConnectParam) -

The parameters used to connect to a remote bucket.
segment_size (int) -

The maximum size of a file segment.

While rewriting your raw data, Milvus splits your raw data into segments.

The value defaults to 536,870,912 in bytes, which is 512 MB.
how does bulkwriter segment my data?

The way BulkWriter segments your data varies with the target file type.
- JSON_RB or Parquet
If the generated file exceeds the specified segment size, BulkWriter creates multiple files and names them in sequence numbers, each no larger than the segment size.
- NPY
If the generated file exceeds the specified segment size, BulkWriter creates multiple subdirectories and names them in sequence numbers. Each subdirectory contains all the necessary NumPy files that are no larger than the segment size.
file_type (BulkFileType) -

The type of the output file.

The value defaults to BulkFileType.NPY.