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Testing PyArrow 5 Distribution Build (#861)
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jaidisido authored Aug 5, 2021
1 parent e85ac6c commit cc31d1c
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Showing 10 changed files with 37 additions and 14 deletions.
1 change: 0 additions & 1 deletion .github/dependabot.yml
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Expand Up @@ -10,4 +10,3 @@ updates:
prefix: "[skip ci] pip"
prefix-development: "[skip ci] pip"
include: "scope"
open-pull-requests-limit: 5
2 changes: 1 addition & 1 deletion .github/workflows/static-checking.yml
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Expand Up @@ -29,7 +29,7 @@ jobs:
python -m pip install --upgrade pip
pip install -U -r requirements-dev.txt
- name: mypy check
run: yes y | mypy --install-types awswrangler
run: mypy --install-types --non-interactive awswrangler
- name: Flake8 Lint
run: flake8 .
- name: Pylint Lint
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2 changes: 1 addition & 1 deletion awswrangler/_utils.py
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Expand Up @@ -227,7 +227,7 @@ def chunkify(lst: List[Any], num_chunks: int = 1, max_length: Optional[int] = No
if not lst:
return []
n: int = num_chunks if max_length is None else int(math.ceil((float(len(lst)) / float(max_length))))
np_chunks = np.array_split(lst, n)
np_chunks = np.array_split(lst, n) # type: ignore
return [arr.tolist() for arr in np_chunks if len(arr) > 0]


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4 changes: 2 additions & 2 deletions awswrangler/timestream.py
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Expand Up @@ -200,15 +200,15 @@ def write(


def query(
sql: str, pagination_config: Dict[str, Any] = None, boto3_session: Optional[boto3.Session] = None
sql: str, pagination_config: Optional[Dict[str, Any]] = None, boto3_session: Optional[boto3.Session] = None
) -> pd.DataFrame:
"""Run a query and retrieve the result as a Pandas DataFrame.
Parameters
----------
sql: str
SQL query.
pagination_config: Dict[str, Any]
pagination_config: Dict[str, Any], optional
Pagination configuration dictionary of a form {'MaxItems': 10, 'PageSize': 10, 'StartingToken': '...'}
boto3_session : boto3.Session(), optional
Boto3 Session. The default boto3 Session will be used if boto3_session receive None.
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2 changes: 1 addition & 1 deletion building/lambda/build-lambda-layer.sh
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Expand Up @@ -14,7 +14,7 @@ export ARROW_HOME=$(pwd)/dist
export LD_LIBRARY_PATH=$(pwd)/dist/lib:$LD_LIBRARY_PATH

git clone \
--branch apache-arrow-4.0.0 \
--branch apache-arrow-5.0.0 \
--single-branch \
https://github.com/apache/arrow.git

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2 changes: 1 addition & 1 deletion docs/environment.yml
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Expand Up @@ -8,7 +8,7 @@ dependencies:
- pip:
- nbsphinx
- nbsphinx-link
- sphinx==4.0.3
- sphinx
- sphinx_bootstrap_theme
- IPython
- -e ..
24 changes: 24 additions & 0 deletions docs/source/api.rst
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Expand Up @@ -8,6 +8,8 @@ API Reference
* `PostgreSQL`_
* `MySQL`_
* `Microsoft SQL Server`_
* `Data API Redshift`_
* `Data API RDS`_
* `DynamoDB`_
* `Amazon Timestream`_
* `Amazon EMR`_
Expand Down Expand Up @@ -173,6 +175,28 @@ ____________________
read_sql_table
to_sql

Data API Redshift
-----------------

.. currentmodule:: awswrangler.data_api.redshift

.. autosummary::
:toctree: stubs

connect
read_sql_query

Data API RDS
------------

.. currentmodule:: awswrangler.data_api.rds

.. autosummary::
:toctree: stubs

connect
read_sql_query

DynamoDB
--------

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10 changes: 5 additions & 5 deletions requirements-dev.txt
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@@ -1,9 +1,9 @@
wheel==0.36.2
isort==5.9.3
black==21.7b0
pylint==2.9.5
pylint==2.9.6
flake8==3.9.2
mypy==0.902
mypy==0.910
pydocstyle==6.1.1
doc8==0.9.0
tox==3.24.1
Expand All @@ -14,13 +14,13 @@ pytest-xdist==2.3.0
pytest-timeout==1.4.2
pydot==1.4.2
twine==3.4.2
sphinx==4.0.3
sphinx==4.1.2
sphinx_bootstrap_theme==0.7.1
nbsphinx==0.8.6
nbsphinx-link==1.3.0
IPython==7.16.0
moto==2.2.0
jupyterlab==3.1.1
moto==2.2.1
jupyterlab==3.1.2
s3fs==2021.7.0
python-Levenshtein==0.12.2
bump2version==1.0.1
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2 changes: 1 addition & 1 deletion requirements.txt
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Expand Up @@ -3,7 +3,7 @@ botocore>=1.19.8,<2.0.0
numpy>=1.18.0,<2.0.0
pandas>=1.1.0,<2.0.0
pyarrow>=2.0.0,<5.1.0
redshift-connector~=2.0.883
redshift-connector~=2.0.884
pymysql>=0.9.0,<1.1.0
pg8000>=1.16.0,<1.22.0
openpyxl~=3.0.0
2 changes: 1 addition & 1 deletion validate.sh
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Expand Up @@ -3,7 +3,7 @@ set -ex

isort --check .
black --check .
yes y | mypy --install-types awswrangler
mypy --install-types --non-interactive awswrangler
flake8 .
pylint -j 0 awswrangler
pydocstyle awswrangler/ --convention=numpy
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