Comments (1)
The issue here is that awswrangler
does not expose the boto3 client, only the session. Because it's not possible to pass verify
via the session, patching the client was the solution advised in #1157
from aws-sdk-pandas.
Related Issues (20)
- Postgres upsert table creation
- Insight into error `awswrangler.exceptions.QueryFailed: Iceberg cannot access the requested resource` HOT 2
- athena.to_iceberg function is not deleting temp_table_xxxxx properly in Athena HOT 1
- Add s3_output parameter to athena.delete_from_iceberg_table method HOT 1
- wr.s3.download fits the whole file into memory, with 2x memory allocation
- Upsert mode for SQL Server HOT 1
- Allow more than parquet files in redshift copy from files function HOT 3
- Calling wr.s3.read_parquet_metadata with a path that doesn't exist throws IndexError
- Athena query throws error with message "AttributeError: 'pyarrow._parquet.FileMetaData' object has no attribute 'total_byte_size'" HOT 1
- `athena.to_parquet` fails when `mode=overwrite_partitions` and `partition_cols` contains something like `hour(timestamp_col)`. HOT 1
- Intermittent NETWORK_CONNECTION Error During s3.read_parquet_table Operation HOT 1
- Double carriage return when using \r\n as line terminator HOT 2
- When saving a df with a partition transform function and mode="overwrite_partitions" using the `to_iceberg` method, the KeyError occurs HOT 3
- New version of NUMPY(2.0.0) got released yesterday and Glue jobs are failing in python 3.9 HOT 1
- Convert CloudWatch LogInsights query results to Dataframe HOT 1
- Deprecation Warning for `parallelism` Argument in `read_parquet` with `ray_args`
- Augment dataframes with metadata from the origin file HOT 1
- Adding NotebookVersion Parameter as specified in official AWS Docs this parameter is necessary to create session using Spark
- Unable to use copy_from_files to load into a redshift table w/ an identity column. HOT 1
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from aws-sdk-pandas.