Preparing release 2.8.0 (#703)

Author: jaidisido

.bumpversion.cfg

@@ -1,5 +1,5 @@
 [bumpversion]
-current_version = 2.7.0
+current_version = 2.8.0
 commit = False
 tag = False
 tag_name = {new_version}

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 2.7.0
-    Uninstalling awswrangler-2.7.0:
-      Successfully uninstalled awswrangler-2.7.0
+    Found existing installation: awswrangler 2.8.0
+    Uninstalling awswrangler-2.8.0:
+      Successfully uninstalled awswrangler-2.8.0
   Running setup.py develop for awswrangler
     Running setup.py install for python-Levenshtein ... error
     ERROR: Command errored out with exit status 1:

README.md

@@ -8,7 +8,7 @@ Easy integration with Athena, Glue, Redshift, Timestream, QuickSight, Chime, Clo
 
 > An [AWS Professional Service](https://aws.amazon.com/professional-services/) open source initiative | [email protected]
 
-[![Release](https://img.shields.io/badge/release-2.7.0-brightgreen.svg)](https://pypi.org/project/awswrangler/)
+[![Release](https://img.shields.io/badge/release-2.8.0-brightgreen.svg)](https://pypi.org/project/awswrangler/)
 [![Python Version](https://img.shields.io/badge/python-3.6%20%7C%203.7%20%7C%203.8%20%7C%203.9-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)
@@ -24,7 +24,7 @@ Easy integration with Athena, Glue, Redshift, Timestream, QuickSight, Chime, Clo
 | **[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-data-wrangler.readthedocs.io/en/2.7.0/install.html#emr-cluster), [Glue PySpark Job](https://aws-data-wrangler.readthedocs.io/en/2.7.0/install.html#aws-glue-pyspark-jobs), MWAA):**<br>
+> ⚠️ **For platforms without PyArrow 3 support (e.g. [EMR](https://aws-data-wrangler.readthedocs.io/en/2.8.0/install.html#emr-cluster), [Glue PySpark Job](https://aws-data-wrangler.readthedocs.io/en/2.8.0/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/)
@@ -42,7 +42,7 @@ 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-data-wrangler.readthedocs.io/en/2.7.0/install.html#emr-cluster), [Glue PySpark Job](https://aws-data-wrangler.readthedocs.io/en/2.7.0/install.html#aws-glue-pyspark-jobs), MWAA):**<br>
+> ⚠️ **For platforms without PyArrow 3 support (e.g. [EMR](https://aws-data-wrangler.readthedocs.io/en/2.8.0/install.html#emr-cluster), [Glue PySpark Job](https://aws-data-wrangler.readthedocs.io/en/2.8.0/install.html#aws-glue-pyspark-jobs), MWAA):**<br>
 ➡️`pip install pyarrow==2 awswrangler`
 
 ```py3
@@ -96,17 +96,17 @@ FROM "sampleDB"."sampleTable" ORDER BY time DESC LIMIT 3
 
 ## [Read The Docs](https://aws-data-wrangler.readthedocs.io/)
 
-- [**What is AWS Data Wrangler?**](https://aws-data-wrangler.readthedocs.io/en/2.7.0/what.html)
-- [**Install**](https://aws-data-wrangler.readthedocs.io/en/2.7.0/install.html)
-  - [PyPi (pip)](https://aws-data-wrangler.readthedocs.io/en/2.7.0/install.html#pypi-pip)
-  - [Conda](https://aws-data-wrangler.readthedocs.io/en/2.7.0/install.html#conda)
-  - [AWS Lambda Layer](https://aws-data-wrangler.readthedocs.io/en/2.7.0/install.html#aws-lambda-layer)
-  - [AWS Glue Python Shell Jobs](https://aws-data-wrangler.readthedocs.io/en/2.7.0/install.html#aws-glue-python-shell-jobs)
-  - [AWS Glue PySpark Jobs](https://aws-data-wrangler.readthedocs.io/en/2.7.0/install.html#aws-glue-pyspark-jobs)
-  - [Amazon SageMaker Notebook](https://aws-data-wrangler.readthedocs.io/en/2.7.0/install.html#amazon-sagemaker-notebook)
-  - [Amazon SageMaker Notebook Lifecycle](https://aws-data-wrangler.readthedocs.io/en/2.7.0/install.html#amazon-sagemaker-notebook-lifecycle)
-  - [EMR](https://aws-data-wrangler.readthedocs.io/en/2.7.0/install.html#emr)
-  - [From source](https://aws-data-wrangler.readthedocs.io/en/2.7.0/install.html#from-source)
+- [**What is AWS Data Wrangler?**](https://aws-data-wrangler.readthedocs.io/en/2.8.0/what.html)
+- [**Install**](https://aws-data-wrangler.readthedocs.io/en/2.8.0/install.html)
+  - [PyPi (pip)](https://aws-data-wrangler.readthedocs.io/en/2.8.0/install.html#pypi-pip)
+  - [Conda](https://aws-data-wrangler.readthedocs.io/en/2.8.0/install.html#conda)
+  - [AWS Lambda Layer](https://aws-data-wrangler.readthedocs.io/en/2.8.0/install.html#aws-lambda-layer)
+  - [AWS Glue Python Shell Jobs](https://aws-data-wrangler.readthedocs.io/en/2.8.0/install.html#aws-glue-python-shell-jobs)
+  - [AWS Glue PySpark Jobs](https://aws-data-wrangler.readthedocs.io/en/2.8.0/install.html#aws-glue-pyspark-jobs)
+  - [Amazon SageMaker Notebook](https://aws-data-wrangler.readthedocs.io/en/2.8.0/install.html#amazon-sagemaker-notebook)
+  - [Amazon SageMaker Notebook Lifecycle](https://aws-data-wrangler.readthedocs.io/en/2.8.0/install.html#amazon-sagemaker-notebook-lifecycle)
+  - [EMR](https://aws-data-wrangler.readthedocs.io/en/2.8.0/install.html#emr)
+  - [From source](https://aws-data-wrangler.readthedocs.io/en/2.8.0/install.html#from-source)
 - [**Tutorials**](https://github.com/awslabs/aws-data-wrangler/tree/main/tutorials)
   - [001 - Introduction](https://github.com/awslabs/aws-data-wrangler/blob/main/tutorials/001%20-%20Introduction.ipynb)
   - [002 - Sessions](https://github.com/awslabs/aws-data-wrangler/blob/main/tutorials/002%20-%20Sessions.ipynb)
@@ -136,22 +136,22 @@ FROM "sampleDB"."sampleTable" ORDER BY time DESC LIMIT 3
   - [026 - Amazon Timestream](https://github.com/awslabs/aws-data-wrangler/blob/main/tutorials/026%20-%20Amazon%20Timestream.ipynb)
   - [027 - Amazon Timestream 2](https://github.com/awslabs/aws-data-wrangler/blob/main/tutorials/027%20-%20Amazon%20Timestream%202.ipynb)
   - [028 - Amazon DynamoDB](https://github.com/awslabs/aws-data-wrangler/blob/main/tutorials/028%20-%20DynamoDB.ipynb)
-- [**API Reference**](https://aws-data-wrangler.readthedocs.io/en/2.7.0/api.html)
-  - [Amazon S3](https://aws-data-wrangler.readthedocs.io/en/2.7.0/api.html#amazon-s3)
-  - [AWS Glue Catalog](https://aws-data-wrangler.readthedocs.io/en/2.7.0/api.html#aws-glue-catalog)
-  - [Amazon Athena](https://aws-data-wrangler.readthedocs.io/en/2.7.0/api.html#amazon-athena)
-  - [Amazon Redshift](https://aws-data-wrangler.readthedocs.io/en/2.7.0/api.html#amazon-redshift)
-  - [PostgreSQL](https://aws-data-wrangler.readthedocs.io/en/2.7.0/api.html#postgresql)
-  - [MySQL](https://aws-data-wrangler.readthedocs.io/en/2.7.0/api.html#mysql)
-  - [SQL Server](https://aws-data-wrangler.readthedocs.io/en/2.7.0/api.html#sqlserver)
-  - [DynamoDB](https://aws-data-wrangler.readthedocs.io/en/2.7.0/api.html#dynamodb)
-  - [Amazon Timestream](https://aws-data-wrangler.readthedocs.io/en/2.7.0/api.html#amazon-timestream)
-  - [Amazon EMR](https://aws-data-wrangler.readthedocs.io/en/2.7.0/api.html#amazon-emr)
-  - [Amazon CloudWatch Logs](https://aws-data-wrangler.readthedocs.io/en/2.7.0/api.html#amazon-cloudwatch-logs)
-  - [Amazon Chime](https://aws-data-wrangler.readthedocs.io/en/2.7.0/api.html#amazon-chime)
-  - [Amazon QuickSight](https://aws-data-wrangler.readthedocs.io/en/2.7.0/api.html#amazon-quicksight)
-  - [AWS STS](https://aws-data-wrangler.readthedocs.io/en/2.7.0/api.html#aws-sts)
-  - [AWS Secrets Manager](https://aws-data-wrangler.readthedocs.io/en/2.7.0/api.html#aws-secrets-manager)
+- [**API Reference**](https://aws-data-wrangler.readthedocs.io/en/2.8.0/api.html)
+  - [Amazon S3](https://aws-data-wrangler.readthedocs.io/en/2.8.0/api.html#amazon-s3)
+  - [AWS Glue Catalog](https://aws-data-wrangler.readthedocs.io/en/2.8.0/api.html#aws-glue-catalog)
+  - [Amazon Athena](https://aws-data-wrangler.readthedocs.io/en/2.8.0/api.html#amazon-athena)
+  - [Amazon Redshift](https://aws-data-wrangler.readthedocs.io/en/2.8.0/api.html#amazon-redshift)
+  - [PostgreSQL](https://aws-data-wrangler.readthedocs.io/en/2.8.0/api.html#postgresql)
+  - [MySQL](https://aws-data-wrangler.readthedocs.io/en/2.8.0/api.html#mysql)
+  - [SQL Server](https://aws-data-wrangler.readthedocs.io/en/2.8.0/api.html#sqlserver)
+  - [DynamoDB](https://aws-data-wrangler.readthedocs.io/en/2.8.0/api.html#dynamodb)
+  - [Amazon Timestream](https://aws-data-wrangler.readthedocs.io/en/2.8.0/api.html#amazon-timestream)
+  - [Amazon EMR](https://aws-data-wrangler.readthedocs.io/en/2.8.0/api.html#amazon-emr)
+  - [Amazon CloudWatch Logs](https://aws-data-wrangler.readthedocs.io/en/2.8.0/api.html#amazon-cloudwatch-logs)
+  - [Amazon Chime](https://aws-data-wrangler.readthedocs.io/en/2.8.0/api.html#amazon-chime)
+  - [Amazon QuickSight](https://aws-data-wrangler.readthedocs.io/en/2.8.0/api.html#amazon-quicksight)
+  - [AWS STS](https://aws-data-wrangler.readthedocs.io/en/2.8.0/api.html#aws-sts)
+  - [AWS Secrets Manager](https://aws-data-wrangler.readthedocs.io/en/2.8.0/api.html#aws-secrets-manager)
 - [**License**](https://github.com/awslabs/aws-data-wrangler/blob/main/LICENSE.txt)
 - [**Contributing**](https://github.com/awslabs/aws-data-wrangler/blob/main/CONTRIBUTING.md)
 - [**Legacy Docs** (pre-1.0.0)](https://aws-data-wrangler.readthedocs.io/en/0.3.3/)

awswrangler/__metadata__.py

@@ -7,5 +7,5 @@
 
 __title__: str = "awswrangler"
 __description__: str = "Pandas on AWS."
-__version__: str = "2.7.0"
+__version__: str = "2.8.0"
 __license__: str = "Apache License 2.0"

awswrangler/athena/_read.py

@@ -605,11 +605,11 @@ def read_sql_query(
 
     **Related tutorial:**
 
-    - `Amazon Athena <https://aws-data-wrangler.readthedocs.io/en/2.7.0/
+    - `Amazon Athena <https://aws-data-wrangler.readthedocs.io/en/2.8.0/
       tutorials/006%20-%20Amazon%20Athena.html>`_
-    - `Athena Cache <https://aws-data-wrangler.readthedocs.io/en/2.7.0/
+    - `Athena Cache <https://aws-data-wrangler.readthedocs.io/en/2.8.0/
       tutorials/019%20-%20Athena%20Cache.html>`_
-    - `Global Configurations <https://aws-data-wrangler.readthedocs.io/en/2.7.0/
+    - `Global Configurations <https://aws-data-wrangler.readthedocs.io/en/2.8.0/
       tutorials/021%20-%20Global%20Configurations.html>`_
 
     **There are two approaches to be defined through ctas_approach parameter:**
@@ -657,7 +657,7 @@ def read_sql_query(
     /athena.html#Athena.Client.get_query_execution>`_ .
 
     For a practical example check out the
-    `related tutorial <https://aws-data-wrangler.readthedocs.io/en/2.7.0/
+    `related tutorial <https://aws-data-wrangler.readthedocs.io/en/2.8.0/
     tutorials/024%20-%20Athena%20Query%20Metadata.html>`_!
 
 
@@ -799,8 +799,7 @@ def read_sql_query(
     for key, value in params.items():
         sql = sql.replace(f":{key};", str(value))
 
-    if max_remote_cache_entries > max_local_cache_entries:
-        max_remote_cache_entries = max_local_cache_entries
+    max_remote_cache_entries = min(max_remote_cache_entries, max_local_cache_entries)
 
     _cache_manager.max_cache_size = max_local_cache_entries
     cache_info: _CacheInfo = _check_for_cached_results(
@@ -873,11 +872,11 @@ def read_sql_table(
 
     **Related tutorial:**
 
-    - `Amazon Athena <https://aws-data-wrangler.readthedocs.io/en/2.7.0/
+    - `Amazon Athena <https://aws-data-wrangler.readthedocs.io/en/2.8.0/
       tutorials/006%20-%20Amazon%20Athena.html>`_
-    - `Athena Cache <https://aws-data-wrangler.readthedocs.io/en/2.7.0/
+    - `Athena Cache <https://aws-data-wrangler.readthedocs.io/en/2.8.0/
       tutorials/019%20-%20Athena%20Cache.html>`_
-    - `Global Configurations <https://aws-data-wrangler.readthedocs.io/en/2.7.0/
+    - `Global Configurations <https://aws-data-wrangler.readthedocs.io/en/2.8.0/
       tutorials/021%20-%20Global%20Configurations.html>`_
 
     **There are two approaches to be defined through ctas_approach parameter:**
@@ -922,7 +921,7 @@ def read_sql_table(
     /athena.html#Athena.Client.get_query_execution>`_ .
 
     For a practical example check out the
-    `related tutorial <https://aws-data-wrangler.readthedocs.io/en/2.7.0/
+    `related tutorial <https://aws-data-wrangler.readthedocs.io/en/2.8.0/
     tutorials/024%20-%20Athena%20Query%20Metadata.html>`_!
 
 

awswrangler/chime.py

@@ -29,7 +29,7 @@ def post_message(webhook: str, message: str) -> Optional[Any]:
     chime_message = {"Content": "Message: %s" % (message)}
     req = Request(webhook, json.dumps(chime_message).encode("utf-8"))
     try:
-        response = urlopen(req)
+        response = urlopen(req)  # pylint: disable=R1732
         _logger.info("Message posted on Chime. Got respone as %s", response.read())
     except HTTPError as e:
         _logger.exception("Request failed: %d %s", e.code, e.reason)

awswrangler/s3/_fs.py

@@ -129,7 +129,7 @@ def __init__(self, use_threads: Union[bool, int]):
         self._results: List[Dict[str, Union[str, int]]] = []
         self._cpus: int = _utils.ensure_cpu_count(use_threads=use_threads)
         if self._cpus > 1:
-            self._exec = concurrent.futures.ThreadPoolExecutor(max_workers=self._cpus)
+            self._exec = concurrent.futures.ThreadPoolExecutor(max_workers=self._cpus)  # pylint: disable=R1732
             self._futures: List[Any] = []
         else:
             self._exec = None

awswrangler/s3/_read_parquet.py

@@ -748,7 +748,7 @@ def read_parquet_table(
         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-data-wrangler.readthedocs.io/en/2.7.0/tutorials/023%20-%20Flexible%20Partitions%20Filter.html
+        https://aws-data-wrangler.readthedocs.io/en/2.8.0/tutorials/023%20-%20Flexible%20Partitions%20Filter.html
     columns : List[str], optional
         Names of columns to read from the file(s).
     validate_schema:

awswrangler/s3/_read_text.py

@@ -224,7 +224,7 @@ 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-data-wrangler.readthedocs.io/en/2.7.0/tutorials/023%20-%20Flexible%20Partitions%20Filter.html
+        https://aws-data-wrangler.readthedocs.io/en/2.8.0/tutorials/023%20-%20Flexible%20Partitions%20Filter.html
     pandas_kwargs :
         KEYWORD arguments forwarded to pandas.read_csv(). You can NOT pass `pandas_kwargs` explicit, just add valid
         Pandas arguments in the function call and Wrangler will accept it.
@@ -367,7 +367,7 @@ 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-data-wrangler.readthedocs.io/en/2.7.0/tutorials/023%20-%20Flexible%20Partitions%20Filter.html
+        https://aws-data-wrangler.readthedocs.io/en/2.8.0/tutorials/023%20-%20Flexible%20Partitions%20Filter.html
     pandas_kwargs:
         KEYWORD arguments forwarded to pandas.read_fwf(). You can NOT pass `pandas_kwargs` explicit, just add valid
         Pandas arguments in the function call and Wrangler will accept it.
@@ -514,7 +514,7 @@ 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-data-wrangler.readthedocs.io/en/2.7.0/tutorials/023%20-%20Flexible%20Partitions%20Filter.html
+        https://aws-data-wrangler.readthedocs.io/en/2.8.0/tutorials/023%20-%20Flexible%20Partitions%20Filter.html
     pandas_kwargs:
         KEYWORD arguments forwarded to pandas.read_json(). You can NOT pass `pandas_kwargs` explicit, just add valid
         Pandas arguments in the function call and Wrangler will accept it.

awswrangler/s3/_write_concurrent.py

@@ -18,7 +18,7 @@ def __init__(self, use_threads: bool):
         self._results: List[str] = []
         self._cpus: int = _utils.ensure_cpu_count(use_threads=use_threads)
         if self._cpus > 1:
-            self._exec = concurrent.futures.ThreadPoolExecutor(max_workers=self._cpus)
+            self._exec = concurrent.futures.ThreadPoolExecutor(max_workers=self._cpus)  # pylint: disable=R1732
             self._futures: List[Any] = []
         else:
             self._exec = None