Prepare pre-release 3.0.0rc1 (#1725)

Author: jaidisido

.bumpversion.cfg

@@ -1,5 +1,5 @@
 [bumpversion]
-current_version = 3.0.0b3
+current_version = 3.0.0rc1
 commit = False
 tag = False
 tag_name = {new_version}

CONTRIBUTING.md

@@ -316,7 +316,7 @@ available_node_types:
         SubnetId: {replace with subnet within above AZs}
 
 setup_commands:
-- pip install "awswrangler[modin, ray]==3.0.0b3"
+- pip install "awswrangler[modin, ray]==3.0.0rc1"
 - pip install pytest
 
 ```

CONTRIBUTING_COMMON_ERRORS.md

@@ -13,9 +13,9 @@ Requirement already satisfied: pbr!=2.1.0,>=2.0.0 in ./.venv/lib/python3.7/site-
 Using legacy 'setup.py install' for python-Levenshtein, since package 'wheel' is not installed.
 Installing collected packages: awswrangler, python-Levenshtein
   Attempting uninstall: awswrangler
-    Found existing installation: awswrangler 3.0.0b3
-    Uninstalling awswrangler-3.0.0b3:
-      Successfully uninstalled awswrangler-3.0.0b3
+    Found existing installation: awswrangler 3.0.0rc1
+    Uninstalling awswrangler-3.0.0rc1:
+      Successfully uninstalled awswrangler-3.0.0rc1
   Running setup.py develop for awswrangler
     Running setup.py install for python-Levenshtein ... error
     ERROR: Command errored out with exit status 1:

README.md

@@ -11,7 +11,7 @@ Easy integration with Athena, Glue, Redshift, Timestream, OpenSearch, Neptune, Q
 
 > An [AWS Professional Service](https://aws.amazon.com/professional-services/) open source initiative | [email protected]
 
-[![Release](https://img.shields.io/badge/release-3.0.0b3-brightgreen.svg)](https://pypi.org/project/awswrangler/)
+[![Release](https://img.shields.io/badge/release-3.0.0rc1-brightgreen.svg)](https://pypi.org/project/awswrangler/)
 [![Python Version](https://img.shields.io/badge/python-3.7%20%7C%203.8%20%7C%203.9%20%7C%203.10-brightgreen.svg)](https://anaconda.org/conda-forge/awswrangler)
 [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
 [![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
@@ -26,7 +26,7 @@ Easy integration with Athena, Glue, Redshift, Timestream, OpenSearch, Neptune, Q
 | **[PyPi](https://pypi.org/project/awswrangler/)**  | [![PyPI Downloads](https://pepy.tech/badge/awswrangler)](https://pypi.org/project/awswrangler/) | `pip install awswrangler` |
 | **[Conda](https://anaconda.org/conda-forge/awswrangler)** | [![Conda Downloads](https://img.shields.io/conda/dn/conda-forge/awswrangler.svg)](https://anaconda.org/conda-forge/awswrangler) | `conda install -c conda-forge awswrangler` |
 
-> ⚠️ **For platforms without PyArrow 3 support (e.g. [EMR](https://aws-sdk-pandas.readthedocs.io/en/3.0.0b3/install.html#emr-cluster), [Glue PySpark Job](https://aws-sdk-pandas.readthedocs.io/en/3.0.0b3/install.html#aws-glue-pyspark-jobs), MWAA):**<br>
+> ⚠️ **For platforms without PyArrow 3 support (e.g. [EMR](https://aws-sdk-pandas.readthedocs.io/en/3.0.0rc1/install.html#emr-cluster), [Glue PySpark Job](https://aws-sdk-pandas.readthedocs.io/en/3.0.0rc1/install.html#aws-glue-pyspark-jobs), MWAA):**<br>
 ➡️ `pip install pyarrow==2 awswrangler`
 
 Powered By [<img src="https://arrow.apache.org/img/arrow.png" width="200">](https://arrow.apache.org/powered_by/)
@@ -45,7 +45,7 @@ Powered By [<img src="https://arrow.apache.org/img/arrow.png" width="200">](http
 
 Installation command: `pip install awswrangler`
 
-> ⚠️ **For platforms without PyArrow 3 support (e.g. [EMR](https://aws-sdk-pandas.readthedocs.io/en/3.0.0b3/install.html#emr-cluster), [Glue PySpark Job](https://aws-sdk-pandas.readthedocs.io/en/3.0.0b3/install.html#aws-glue-pyspark-jobs), MWAA):**<br>
+> ⚠️ **For platforms without PyArrow 3 support (e.g. [EMR](https://aws-sdk-pandas.readthedocs.io/en/3.0.0rc1/install.html#emr-cluster), [Glue PySpark Job](https://aws-sdk-pandas.readthedocs.io/en/3.0.0rc1/install.html#aws-glue-pyspark-jobs), MWAA):**<br>
 ➡️`pip install pyarrow==2 awswrangler`
 
 ```py3
@@ -102,7 +102,7 @@ AWS SDK for pandas can also run your workflows at scale by leveraging [modin](ht
 
 ### Installation
 ```
-pip install "awswrangler[modin,ray]==3.0.0b3"
+pip install "awswrangler[modin,ray]==3.0.0rc1"
 ```
 
 As a result existing scripts can run on significantly larger datasets with no code rewrite. Supported APIs are parallelized across cores on a single machine or across multiple nodes on a cluster in the cloud.
@@ -133,17 +133,17 @@ As a result existing scripts can run on significantly larger datasets with no co
 
 ## [Read The Docs](https://aws-sdk-pandas.readthedocs.io/)
 
-- [**What is AWS SDK for pandas?**](https://aws-sdk-pandas.readthedocs.io/en/3.0.0b3/what.html)
-- [**Install**](https://aws-sdk-pandas.readthedocs.io/en/3.0.0b3/install.html)
-  - [PyPi (pip)](https://aws-sdk-pandas.readthedocs.io/en/3.0.0b3/install.html#pypi-pip)
-  - [Conda](https://aws-sdk-pandas.readthedocs.io/en/3.0.0b3/install.html#conda)
-  - [AWS Lambda Layer](https://aws-sdk-pandas.readthedocs.io/en/3.0.0b3/install.html#aws-lambda-layer)
-  - [AWS Glue Python Shell Jobs](https://aws-sdk-pandas.readthedocs.io/en/3.0.0b3/install.html#aws-glue-python-shell-jobs)
-  - [AWS Glue PySpark Jobs](https://aws-sdk-pandas.readthedocs.io/en/3.0.0b3/install.html#aws-glue-pyspark-jobs)
-  - [Amazon SageMaker Notebook](https://aws-sdk-pandas.readthedocs.io/en/3.0.0b3/install.html#amazon-sagemaker-notebook)
-  - [Amazon SageMaker Notebook Lifecycle](https://aws-sdk-pandas.readthedocs.io/en/3.0.0b3/install.html#amazon-sagemaker-notebook-lifecycle)
-  - [EMR](https://aws-sdk-pandas.readthedocs.io/en/3.0.0b3/install.html#emr)
-  - [From source](https://aws-sdk-pandas.readthedocs.io/en/3.0.0b3/install.html#from-source)
+- [**What is AWS SDK for pandas?**](https://aws-sdk-pandas.readthedocs.io/en/3.0.0rc1/what.html)
+- [**Install**](https://aws-sdk-pandas.readthedocs.io/en/3.0.0rc1/install.html)
+  - [PyPi (pip)](https://aws-sdk-pandas.readthedocs.io/en/3.0.0rc1/install.html#pypi-pip)
+  - [Conda](https://aws-sdk-pandas.readthedocs.io/en/3.0.0rc1/install.html#conda)
+  - [AWS Lambda Layer](https://aws-sdk-pandas.readthedocs.io/en/3.0.0rc1/install.html#aws-lambda-layer)
+  - [AWS Glue Python Shell Jobs](https://aws-sdk-pandas.readthedocs.io/en/3.0.0rc1/install.html#aws-glue-python-shell-jobs)
+  - [AWS Glue PySpark Jobs](https://aws-sdk-pandas.readthedocs.io/en/3.0.0rc1/install.html#aws-glue-pyspark-jobs)
+  - [Amazon SageMaker Notebook](https://aws-sdk-pandas.readthedocs.io/en/3.0.0rc1/install.html#amazon-sagemaker-notebook)
+  - [Amazon SageMaker Notebook Lifecycle](https://aws-sdk-pandas.readthedocs.io/en/3.0.0rc1/install.html#amazon-sagemaker-notebook-lifecycle)
+  - [EMR](https://aws-sdk-pandas.readthedocs.io/en/3.0.0rc1/install.html#emr)
+  - [From source](https://aws-sdk-pandas.readthedocs.io/en/3.0.0rc1/install.html#from-source)
 - [**Tutorials**](https://github.com/aws/aws-sdk-pandas/tree/main/tutorials)
   - [001 - Introduction](https://github.com/aws/aws-sdk-pandas/blob/main/tutorials/001%20-%20Introduction.ipynb)
   - [002 - Sessions](https://github.com/aws/aws-sdk-pandas/blob/main/tutorials/002%20-%20Sessions.ipynb)
@@ -178,31 +178,31 @@ As a result existing scripts can run on significantly larger datasets with no co
   - [031 - OpenSearch](https://github.com/aws/aws-sdk-pandas/blob/main/tutorials/031%20-%20OpenSearch.ipynb)
   - [032 - Lake Formation Governed Tables](https://github.com/aws/aws-sdk-pandas/blob/main/tutorials/032%20-%20Lake%20Formation%20Governed%20Tables.ipynb)
   - [033 - Amazon Neptune](https://github.com/aws/aws-sdk-pandas/blob/main/tutorials/033%20-%20Amazon%20Neptune.ipynb)
-  - [034 - Distributing Calls Using Ray](https://github.com/aws/aws-sdk-pandas/blob/main/tutorials/034%20-%20Distributing%20Calls%20using%20Ray.ipynb)
-  - [035 - Distributing Calls on Ray Remote Cluster](https://github.com/aws/aws-sdk-pandas/blob/main/tutorials/035%20-%20Distributing%20Calls%20on%20Ray%20Remote%20Cluster.ipynb)
-- [**API Reference**](https://aws-sdk-pandas.readthedocs.io/en/3.0.0b3/api.html)
-  - [Amazon S3](https://aws-sdk-pandas.readthedocs.io/en/3.0.0b3/api.html#amazon-s3)
-  - [AWS Glue Catalog](https://aws-sdk-pandas.readthedocs.io/en/3.0.0b3/api.html#aws-glue-catalog)
-  - [Amazon Athena](https://aws-sdk-pandas.readthedocs.io/en/3.0.0b3/api.html#amazon-athena)
-  - [AWS Lake Formation](https://aws-sdk-pandas.readthedocs.io/en/3.0.0b3/api.html#aws-lake-formation)
-  - [Amazon Redshift](https://aws-sdk-pandas.readthedocs.io/en/3.0.0b3/api.html#amazon-redshift)
-  - [PostgreSQL](https://aws-sdk-pandas.readthedocs.io/en/3.0.0b3/api.html#postgresql)
-  - [MySQL](https://aws-sdk-pandas.readthedocs.io/en/3.0.0b3/api.html#mysql)
-  - [SQL Server](https://aws-sdk-pandas.readthedocs.io/en/3.0.0b3/api.html#sqlserver)
-  - [Oracle](https://aws-sdk-pandas.readthedocs.io/en/3.0.0b3/api.html#oracle)
-  - [Data API Redshift](https://aws-sdk-pandas.readthedocs.io/en/3.0.0b3/api.html#data-api-redshift)
-  - [Data API RDS](https://aws-sdk-pandas.readthedocs.io/en/3.0.0b3/api.html#data-api-rds)
-  - [OpenSearch](https://aws-sdk-pandas.readthedocs.io/en/3.0.0b3/api.html#opensearch)
-  - [Amazon Neptune](https://aws-sdk-pandas.readthedocs.io/en/3.0.0b3/api.html#amazon-neptune)
-  - [DynamoDB](https://aws-sdk-pandas.readthedocs.io/en/3.0.0b3/api.html#dynamodb)
-  - [Amazon Timestream](https://aws-sdk-pandas.readthedocs.io/en/3.0.0b3/api.html#amazon-timestream)
-  - [Amazon EMR](https://aws-sdk-pandas.readthedocs.io/en/3.0.0b3/api.html#amazon-emr)
-  - [Amazon CloudWatch Logs](https://aws-sdk-pandas.readthedocs.io/en/3.0.0b3/api.html#amazon-cloudwatch-logs)
-  - [Amazon Chime](https://aws-sdk-pandas.readthedocs.io/en/3.0.0b3/api.html#amazon-chime)
-  - [Amazon QuickSight](https://aws-sdk-pandas.readthedocs.io/en/3.0.0b3/api.html#amazon-quicksight)
-  - [AWS STS](https://aws-sdk-pandas.readthedocs.io/en/3.0.0b3/api.html#aws-sts)
-  - [AWS Secrets Manager](https://aws-sdk-pandas.readthedocs.io/en/3.0.0b3/api.html#aws-secrets-manager)
-  - [Global Configurations](https://aws-sdk-pandas.readthedocs.io/en/3.0.0b3/api.html#global-configurations)
+  - [034 - Distributing Calls Using Ray](https://github.com/aws/aws-sdk-pandas/blob/release-3.0.0/tutorials/034%20-%20Distributing%20Calls%20using%20Ray.ipynb)
+  - [035 - Distributing Calls on Ray Remote Cluster](https://github.com/aws/aws-sdk-pandas/blob/release-3.0.0/tutorials/035%20-%20Distributing%20Calls%20on%20Ray%20Remote%20Cluster.ipynb)
+- [**API Reference**](https://aws-sdk-pandas.readthedocs.io/en/3.0.0rc1/api.html)
+  - [Amazon S3](https://aws-sdk-pandas.readthedocs.io/en/3.0.0rc1/api.html#amazon-s3)
+  - [AWS Glue Catalog](https://aws-sdk-pandas.readthedocs.io/en/3.0.0rc1/api.html#aws-glue-catalog)
+  - [Amazon Athena](https://aws-sdk-pandas.readthedocs.io/en/3.0.0rc1/api.html#amazon-athena)
+  - [AWS Lake Formation](https://aws-sdk-pandas.readthedocs.io/en/3.0.0rc1/api.html#aws-lake-formation)
+  - [Amazon Redshift](https://aws-sdk-pandas.readthedocs.io/en/3.0.0rc1/api.html#amazon-redshift)
+  - [PostgreSQL](https://aws-sdk-pandas.readthedocs.io/en/3.0.0rc1/api.html#postgresql)
+  - [MySQL](https://aws-sdk-pandas.readthedocs.io/en/3.0.0rc1/api.html#mysql)
+  - [SQL Server](https://aws-sdk-pandas.readthedocs.io/en/3.0.0rc1/api.html#sqlserver)
+  - [Oracle](https://aws-sdk-pandas.readthedocs.io/en/3.0.0rc1/api.html#oracle)
+  - [Data API Redshift](https://aws-sdk-pandas.readthedocs.io/en/3.0.0rc1/api.html#data-api-redshift)
+  - [Data API RDS](https://aws-sdk-pandas.readthedocs.io/en/3.0.0rc1/api.html#data-api-rds)
+  - [OpenSearch](https://aws-sdk-pandas.readthedocs.io/en/3.0.0rc1/api.html#opensearch)
+  - [Amazon Neptune](https://aws-sdk-pandas.readthedocs.io/en/3.0.0rc1/api.html#amazon-neptune)
+  - [DynamoDB](https://aws-sdk-pandas.readthedocs.io/en/3.0.0rc1/api.html#dynamodb)
+  - [Amazon Timestream](https://aws-sdk-pandas.readthedocs.io/en/3.0.0rc1/api.html#amazon-timestream)
+  - [Amazon EMR](https://aws-sdk-pandas.readthedocs.io/en/3.0.0rc1/api.html#amazon-emr)
+  - [Amazon CloudWatch Logs](https://aws-sdk-pandas.readthedocs.io/en/3.0.0rc1/api.html#amazon-cloudwatch-logs)
+  - [Amazon Chime](https://aws-sdk-pandas.readthedocs.io/en/3.0.0rc1/api.html#amazon-chime)
+  - [Amazon QuickSight](https://aws-sdk-pandas.readthedocs.io/en/3.0.0rc1/api.html#amazon-quicksight)
+  - [AWS STS](https://aws-sdk-pandas.readthedocs.io/en/3.0.0rc1/api.html#aws-sts)
+  - [AWS Secrets Manager](https://aws-sdk-pandas.readthedocs.io/en/3.0.0rc1/api.html#aws-secrets-manager)
+  - [Global Configurations](https://aws-sdk-pandas.readthedocs.io/en/3.0.0rc1/api.html#global-configurations)
 - [**License**](https://github.com/aws/aws-sdk-pandas/blob/main/LICENSE.txt)
 - [**Contributing**](https://github.com/aws/aws-sdk-pandas/blob/main/CONTRIBUTING.md)
 

VERSION

@@ -1 +1 @@
-3.0.0b3
+3.0.0rc1

awswrangler/__metadata__.py

@@ -7,5 +7,5 @@
 
 __title__: str = "awswrangler"
 __description__: str = "Pandas on AWS."
-__version__: str = "3.0.0b3"
+__version__: str = "3.0.0rc1"
 __license__: str = "Apache License 2.0"

awswrangler/athena/_read.py

@@ -689,11 +689,11 @@ def read_sql_query(
 
     **Related tutorial:**
 
-    - `Amazon Athena <https://aws-sdk-pandas.readthedocs.io/en/3.0.0b3/
+    - `Amazon Athena <https://aws-sdk-pandas.readthedocs.io/en/3.0.0rc1/
       tutorials/006%20-%20Amazon%20Athena.html>`_
-    - `Athena Cache <https://aws-sdk-pandas.readthedocs.io/en/3.0.0b3/
+    - `Athena Cache <https://aws-sdk-pandas.readthedocs.io/en/3.0.0rc1/
       tutorials/019%20-%20Athena%20Cache.html>`_
-    - `Global Configurations <https://aws-sdk-pandas.readthedocs.io/en/3.0.0b3/
+    - `Global Configurations <https://aws-sdk-pandas.readthedocs.io/en/3.0.0rc1/
       tutorials/021%20-%20Global%20Configurations.html>`_
 
     **There are three approaches available through ctas_approach and unload_approach parameters:**
@@ -757,7 +757,7 @@ def read_sql_query(
     /athena.html#Athena.Client.get_query_execution>`_ .
 
     For a practical example check out the
-    `related tutorial <https://aws-sdk-pandas.readthedocs.io/en/3.0.0b3/
+    `related tutorial <https://aws-sdk-pandas.readthedocs.io/en/3.0.0rc1/
     tutorials/024%20-%20Athena%20Query%20Metadata.html>`_!
 
 
@@ -1002,11 +1002,11 @@ def read_sql_table(
 
     **Related tutorial:**
 
-    - `Amazon Athena <https://aws-sdk-pandas.readthedocs.io/en/3.0.0b3/
+    - `Amazon Athena <https://aws-sdk-pandas.readthedocs.io/en/3.0.0rc1/
       tutorials/006%20-%20Amazon%20Athena.html>`_
-    - `Athena Cache <https://aws-sdk-pandas.readthedocs.io/en/3.0.0b3/
+    - `Athena Cache <https://aws-sdk-pandas.readthedocs.io/en/3.0.0rc1/
       tutorials/019%20-%20Athena%20Cache.html>`_
-    - `Global Configurations <https://aws-sdk-pandas.readthedocs.io/en/3.0.0b3/
+    - `Global Configurations <https://aws-sdk-pandas.readthedocs.io/en/3.0.0rc1/
       tutorials/021%20-%20Global%20Configurations.html>`_
 
     **There are two approaches to be defined through ctas_approach parameter:**
@@ -1051,7 +1051,7 @@ def read_sql_table(
     /athena.html#Athena.Client.get_query_execution>`_ .
 
     For a practical example check out the
-    `related tutorial <https://aws-sdk-pandas.readthedocs.io/en/3.0.0b3/
+    `related tutorial <https://aws-sdk-pandas.readthedocs.io/en/3.0.0rc1/
     tutorials/024%20-%20Athena%20Query%20Metadata.html>`_!
 
 

awswrangler/s3/_read_parquet.py

@@ -410,7 +410,7 @@ def read_parquet(
         must return a bool, True to read the partition or False to ignore it.
         Ignored if `dataset=False`.
         E.g ``lambda x: True if x["year"] == "2020" and x["month"] == "1" else False``
-        https://aws-data-wrangler.readthedocs.io/en/3.0.0b3/tutorials/023%20-%20Flexible%20Partitions%20Filter.html
+        https://aws-data-wrangler.readthedocs.io/en/3.0.0rc1/tutorials/023%20-%20Flexible%20Partitions%20Filter.html
     columns : List[str], optional
         List of columns to read from the file(s).
     validate_schema : bool, default False
@@ -622,7 +622,7 @@ def read_parquet_table(
         must return a bool, True to read the partition or False to ignore it.
         Ignored if `dataset=False`.
         E.g ``lambda x: True if x["year"] == "2020" and x["month"] == "1" else False``
-        https://aws-sdk-pandas.readthedocs.io/en/3.0.0b3/tutorials/023%20-%20Flexible%20Partitions%20Filter.html
+        https://aws-sdk-pandas.readthedocs.io/en/3.0.0rc1/tutorials/023%20-%20Flexible%20Partitions%20Filter.html
     columns : List[str], optional
         List of columns to read from the file(s).
     validate_schema : bool, default False

awswrangler/s3/_read_text.py

@@ -225,7 +225,7 @@ def read_csv(
         This function MUST return a bool, True to read the partition or False to ignore it.
         Ignored if `dataset=False`.
         E.g ``lambda x: True if x["year"] == "2020" and x["month"] == "1" else False``
-        https://aws-sdk-pandas.readthedocs.io/en/3.0.0b3/tutorials/023%20-%20Flexible%20Partitions%20Filter.html
+        https://aws-sdk-pandas.readthedocs.io/en/3.0.0rc1/tutorials/023%20-%20Flexible%20Partitions%20Filter.html
     parallelism : int, optional
         The requested parallelism of the read. Only used when `distributed` add-on is installed.
         Parallelism may be limited by the number of files of the dataset. 200 by default.
@@ -378,7 +378,7 @@ def read_fwf(
         This function MUST return a bool, True to read the partition or False to ignore it.
         Ignored if `dataset=False`.
         E.g ``lambda x: True if x["year"] == "2020" and x["month"] == "1" else False``
-        https://aws-sdk-pandas.readthedocs.io/en/3.0.0b3/tutorials/023%20-%20Flexible%20Partitions%20Filter.html
+        https://aws-sdk-pandas.readthedocs.io/en/3.0.0rc1/tutorials/023%20-%20Flexible%20Partitions%20Filter.html
     parallelism : int, optional
         The requested parallelism of the read. Only used when `distributed` add-on is installed.
         Parallelism may be limited by the number of files of the dataset. 200 by default.
@@ -535,7 +535,7 @@ def read_json(
         This function MUST return a bool, True to read the partition or False to ignore it.
         Ignored if `dataset=False`.
         E.g ``lambda x: True if x["year"] == "2020" and x["month"] == "1" else False``
-        https://aws-sdk-pandas.readthedocs.io/en/3.0.0b3/tutorials/023%20-%20Flexible%20Partitions%20Filter.html
+        https://aws-sdk-pandas.readthedocs.io/en/3.0.0rc1/tutorials/023%20-%20Flexible%20Partitions%20Filter.html
     parallelism : int, optional
         The requested parallelism of the read. Only used when `distributed` add-on is installed.
         Parallelism may be limited by the number of files of the dataset. 200 by default.

awswrangler/s3/_write_parquet.py

@@ -304,18 +304,18 @@ def to_parquet(  # pylint: disable=too-many-arguments,too-many-locals,too-many-b
     concurrent_partitioning: bool
         If True will increase the parallelism level during the partitions writing. It will decrease the
         writing time and increase the memory usage.
-        https://aws-sdk-pandas.readthedocs.io/en/3.0.0b3/tutorials/022%20-%20Writing%20Partitions%20Concurrently.html
+        https://aws-sdk-pandas.readthedocs.io/en/3.0.0rc1/tutorials/022%20-%20Writing%20Partitions%20Concurrently.html
     mode: str, optional
         ``append`` (Default), ``overwrite``, ``overwrite_partitions``. Only takes effect if dataset=True.
         For details check the related tutorial:
-        https://aws-sdk-pandas.readthedocs.io/en/3.0.0b3/tutorials/004%20-%20Parquet%20Datasets.html
+        https://aws-sdk-pandas.readthedocs.io/en/3.0.0rc1/tutorials/004%20-%20Parquet%20Datasets.html
     catalog_versioning : bool
         If True and `mode="overwrite"`, creates an archived version of the table catalog before updating it.
     schema_evolution : bool
         If True allows schema evolution (new or missing columns), otherwise a exception will be raised. True by default.
         (Only considered if dataset=True and mode in ("append", "overwrite_partitions"))
         Related tutorial:
-        https://aws-sdk-pandas.readthedocs.io/en/3.0.0b3/tutorials/014%20-%20Schema%20Evolution.html
+        https://aws-sdk-pandas.readthedocs.io/en/3.0.0rc1/tutorials/014%20-%20Schema%20Evolution.html
     database : str, optional
         Glue/Athena catalog: Database name.
     table : str, optional