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Fix missing boto3_session argument #172 #174

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Merged
merged 1 commit into from
Apr 13, 2020
Merged

Fix missing boto3_session argument #172 #174

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11 changes: 6 additions & 5 deletions awswrangler/s3.py
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Original file line number Diff line number Diff line change
Expand Up @@ -694,12 +694,13 @@ def to_parquet( # pylint: disable=too-many-arguments
)
if df.empty is True:
raise exceptions.EmptyDataFrame()
session: boto3.Session = _utils.ensure_session(session=boto3_session)
partition_cols = partition_cols if partition_cols else []
dtype = dtype if dtype else {}
columns_comments = columns_comments if columns_comments else {}
partitions_values: Dict[str, List[str]] = {}
cpus: int = _utils.ensure_cpu_count(use_threads=use_threads)
fs: s3fs.S3FileSystem = _utils.get_fs(session=boto3_session, s3_additional_kwargs=s3_additional_kwargs)
fs: s3fs.S3FileSystem = _utils.get_fs(session=session, s3_additional_kwargs=s3_additional_kwargs)
compression_ext: Optional[str] = _COMPRESSION_2_EXT.get(compression, None)
if compression_ext is None:
raise exceptions.InvalidCompression(f"{compression} is invalid, please use None, snappy or gzip.")
Expand Down Expand Up @@ -739,7 +740,7 @@ def to_parquet( # pylint: disable=too-many-arguments
partition_cols=partition_cols,
dtype=dtype,
mode=mode,
boto3_session=boto3_session,
boto3_session=session,
)
if (database is not None) and (table is not None):
columns_types, partitions_types = _data_types.athena_types_from_pandas_partitioned(
Expand All @@ -755,7 +756,7 @@ def to_parquet( # pylint: disable=too-many-arguments
description=description,
parameters=parameters,
columns_comments=columns_comments,
boto3_session=boto3_session,
boto3_session=session,
mode="overwrite",
)
if partitions_values:
Expand All @@ -765,7 +766,7 @@ def to_parquet( # pylint: disable=too-many-arguments
table=table,
partitions_values=partitions_values,
compression=compression,
boto3_session=boto3_session,
boto3_session=session,
)
return {"paths": paths, "partitions_values": partitions_values}

Expand Down Expand Up @@ -811,7 +812,7 @@ def _to_parquet_dataset(
subdir = "/".join([f"{name}={val}" for name, val in zip(partition_cols, keys)])
prefix: str = f"{path}{subdir}/"
if mode == "overwrite_partitions":
delete_objects(path=prefix, use_threads=use_threads)
delete_objects(path=prefix, use_threads=use_threads, boto3_session=boto3_session)
file_path = f"{prefix}{uuid.uuid4().hex}{compression_ext}.parquet"
_to_parquet_file(
df=subgroup,
Expand Down