Python S3 Concat
S3 Concat is used to concatenate many small files in an s3 bucket into fewer larger files.
Install
pip install s3-concat
Usage
Command Line
$ s3-concat -h
Import
from s3_concat import S3Concat
bucket = "YOUR_BUCKET_NAME"
path_to_concat = "PATH_TO_FILES_TO_CONCAT"
concatenated_file = "FILE_TO_SAVE_TO.json"
# Setting this to a size will always add a part number at the end of the file name
min_file_size = "50MB" # ex: FILE_TO_SAVE_TO-1.json, FILE_TO_SAVE_TO-2.json, ...
# Setting this to None will concat all files into a single file
# min_file_size = None ex: FILE_TO_SAVE_TO.json
# Init the job
job = S3Concat(bucket, concatenated_file, min_file_size,
content_type="application/json",
# source_bucket="SOURCE_BUCKET_NAME", # For copying files from another bucket
# session=boto3.session.Session(), # For custom aws session
# s3_client_kwargs={} # Use to pass arguments allowed by the s3 client: https://boto3.amazonaws.com/v1/documentation/api/latest/reference/core/session.html
# delimiter="\n", # Will insert this delimiter between each file when concatenating. Warning, this will need to download all files no matter the size to add this delimiter
)
# Add files, can call multiple times to add files from other directories
job.add_files(path_to_concat)
# Add a single file at a time
job.add_file("some/file_key.json")
# Only use small_parts_threads if you need to. See Advanced Usage section below.
job.concat(small_parts_threads=4, main_threads=2)
Advanced Usage
Depending on your use case, you may want to use more threads then just 1.
-
main_threadsis the number of threads to use when uploading files to s3. This will help when there are a lot of files that are already over themin_file_sizethat is set -
small_parts_threadsis only used when the files you are trying to concat are less then 5MB. These are spawned from inside of themain_threads. Due to the limitations of the s3 multipart_upload api (see Limitations below) any files less then 5MB need to be downloaded locally, concated together, then re uploaded. By setting this thread count it will download the parts in parallel for faster creation of the concatenation process.
The values set for these arguments depends on your use case and the system you are running this on.
Limitations
This uses the multipart upload of s3 and its limits are https://docs.aws.amazon.com/AmazonS3/latest/dev/qfacts.html
Release files for s3-concat 0.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| s3_concat-0.3.0.tar.gz | 10.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| s3_concat-0.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 20.3 kB
Release files / s3_concat-0.3.0.tar.gz
| Download URL | s3_concat-0.3.0.tar.gz |
|---|---|
| Size | 10.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.7.3
|
Release files / s3_concat-0.3.0-py3-none-any.whl
| Download URL | s3_concat-0.3.0-py3-none-any.whl |
|---|---|
| Size | 9.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.7.3
|