structure saas with tools
This commit is contained in:
Davidson Gomes
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pip
|
||||
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||||
|
||||
Apache License
|
||||
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|
||||
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||||
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||||
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@@ -0,0 +1,203 @@
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||||
Metadata-Version: 2.1
|
||||
Name: google-cloud-bigquery
|
||||
Version: 3.31.0
|
||||
Summary: Google BigQuery API client library
|
||||
Author-email: Google LLC <googleapis-packages@google.com>
|
||||
License: Apache 2.0
|
||||
Project-URL: Repository, https://github.com/googleapis/python-bigquery
|
||||
Classifier: Development Status :: 5 - Production/Stable
|
||||
Classifier: Intended Audience :: Developers
|
||||
Classifier: License :: OSI Approved :: Apache Software License
|
||||
Classifier: Programming Language :: Python
|
||||
Classifier: Programming Language :: Python :: 3
|
||||
Classifier: Programming Language :: Python :: 3.9
|
||||
Classifier: Programming Language :: Python :: 3.10
|
||||
Classifier: Programming Language :: Python :: 3.11
|
||||
Classifier: Programming Language :: Python :: 3.12
|
||||
Classifier: Programming Language :: Python :: 3.13
|
||||
Classifier: Operating System :: OS Independent
|
||||
Classifier: Topic :: Internet
|
||||
Requires-Python: >=3.9
|
||||
Description-Content-Type: text/x-rst
|
||||
License-File: LICENSE
|
||||
Requires-Dist: google-api-core[grpc]<3.0.0,>=2.11.1
|
||||
Requires-Dist: google-auth<3.0.0,>=2.14.1
|
||||
Requires-Dist: google-cloud-core<3.0.0,>=2.4.1
|
||||
Requires-Dist: google-resumable-media<3.0.0,>=2.0.0
|
||||
Requires-Dist: packaging>=24.2.0
|
||||
Requires-Dist: python-dateutil<3.0.0,>=2.8.2
|
||||
Requires-Dist: requests<3.0.0,>=2.21.0
|
||||
Provides-Extra: all
|
||||
Requires-Dist: google-cloud-bigquery[bigquery_v2,bqstorage,geopandas,ipython,ipywidgets,opentelemetry,pandas,tqdm]; extra == "all"
|
||||
Provides-Extra: bigquery_v2
|
||||
Requires-Dist: proto-plus<2.0.0,>=1.22.3; extra == "bigquery-v2"
|
||||
Requires-Dist: protobuf!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<7.0.0,>=3.20.2; extra == "bigquery-v2"
|
||||
Provides-Extra: bqstorage
|
||||
Requires-Dist: google-cloud-bigquery-storage<3.0.0,>=2.18.0; extra == "bqstorage"
|
||||
Requires-Dist: grpcio<2.0.0,>=1.47.0; extra == "bqstorage"
|
||||
Requires-Dist: pyarrow>=4.0.0; extra == "bqstorage"
|
||||
Requires-Dist: grpcio<2.0.0,>=1.49.1; python_version >= "3.11" and extra == "bqstorage"
|
||||
Provides-Extra: geopandas
|
||||
Requires-Dist: geopandas<2.0.0,>=0.9.0; extra == "geopandas"
|
||||
Requires-Dist: Shapely<3.0.0,>=1.8.4; extra == "geopandas"
|
||||
Provides-Extra: ipython
|
||||
Requires-Dist: ipython>=7.23.1; extra == "ipython"
|
||||
Requires-Dist: bigquery-magics>=0.6.0; extra == "ipython"
|
||||
Provides-Extra: ipywidgets
|
||||
Requires-Dist: ipywidgets>=7.7.1; extra == "ipywidgets"
|
||||
Requires-Dist: ipykernel>=6.2.0; extra == "ipywidgets"
|
||||
Provides-Extra: opentelemetry
|
||||
Requires-Dist: opentelemetry-api>=1.1.0; extra == "opentelemetry"
|
||||
Requires-Dist: opentelemetry-sdk>=1.1.0; extra == "opentelemetry"
|
||||
Requires-Dist: opentelemetry-instrumentation>=0.20b0; extra == "opentelemetry"
|
||||
Provides-Extra: pandas
|
||||
Requires-Dist: pandas>=1.1.4; extra == "pandas"
|
||||
Requires-Dist: pandas-gbq>=0.26.1; extra == "pandas"
|
||||
Requires-Dist: grpcio<2.0.0,>=1.47.0; extra == "pandas"
|
||||
Requires-Dist: pyarrow>=3.0.0; extra == "pandas"
|
||||
Requires-Dist: db-dtypes<2.0.0,>=1.0.4; extra == "pandas"
|
||||
Requires-Dist: grpcio<2.0.0,>=1.49.1; python_version >= "3.11" and extra == "pandas"
|
||||
Provides-Extra: tqdm
|
||||
Requires-Dist: tqdm<5.0.0,>=4.7.4; extra == "tqdm"
|
||||
|
||||
Python Client for Google BigQuery
|
||||
=================================
|
||||
|
||||
|GA| |pypi| |versions|
|
||||
|
||||
Querying massive datasets can be time consuming and expensive without the
|
||||
right hardware and infrastructure. Google `BigQuery`_ solves this problem by
|
||||
enabling super-fast, SQL queries against append-mostly tables, using the
|
||||
processing power of Google's infrastructure.
|
||||
|
||||
- `Client Library Documentation`_
|
||||
- `Product Documentation`_
|
||||
|
||||
.. |GA| image:: https://img.shields.io/badge/support-GA-gold.svg
|
||||
:target: https://github.com/googleapis/google-cloud-python/blob/main/README.rst#general-availability
|
||||
.. |pypi| image:: https://img.shields.io/pypi/v/google-cloud-bigquery.svg
|
||||
:target: https://pypi.org/project/google-cloud-bigquery/
|
||||
.. |versions| image:: https://img.shields.io/pypi/pyversions/google-cloud-bigquery.svg
|
||||
:target: https://pypi.org/project/google-cloud-bigquery/
|
||||
.. _BigQuery: https://cloud.google.com/bigquery/what-is-bigquery
|
||||
.. _Client Library Documentation: https://googleapis.dev/python/bigquery/latest
|
||||
.. _Product Documentation: https://cloud.google.com/bigquery/docs/reference/v2/
|
||||
|
||||
Quick Start
|
||||
-----------
|
||||
|
||||
In order to use this library, you first need to go through the following steps:
|
||||
|
||||
1. `Select or create a Cloud Platform project.`_
|
||||
2. `Enable billing for your project.`_
|
||||
3. `Enable the Google Cloud BigQuery API.`_
|
||||
4. `Setup Authentication.`_
|
||||
|
||||
.. _Select or create a Cloud Platform project.: https://console.cloud.google.com/project
|
||||
.. _Enable billing for your project.: https://cloud.google.com/billing/docs/how-to/modify-project#enable_billing_for_a_project
|
||||
.. _Enable the Google Cloud BigQuery API.: https://cloud.google.com/bigquery
|
||||
.. _Setup Authentication.: https://googleapis.dev/python/google-api-core/latest/auth.html
|
||||
|
||||
Installation
|
||||
~~~~~~~~~~~~
|
||||
|
||||
Install this library in a `virtualenv`_ using pip. `virtualenv`_ is a tool to
|
||||
create isolated Python environments. The basic problem it addresses is one of
|
||||
dependencies and versions, and indirectly permissions.
|
||||
|
||||
With `virtualenv`_, it's possible to install this library without needing system
|
||||
install permissions, and without clashing with the installed system
|
||||
dependencies.
|
||||
|
||||
.. _`virtualenv`: https://virtualenv.pypa.io/en/latest/
|
||||
|
||||
|
||||
Supported Python Versions
|
||||
^^^^^^^^^^^^^^^^^^^^^^^^^
|
||||
Python >= 3.9
|
||||
|
||||
Unsupported Python Versions
|
||||
^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||||
Python == 2.7, Python == 3.5, Python == 3.6, Python == 3.7, and Python == 3.8.
|
||||
|
||||
The last version of this library compatible with Python 2.7 and 3.5 is
|
||||
`google-cloud-bigquery==1.28.0`.
|
||||
|
||||
|
||||
Mac/Linux
|
||||
^^^^^^^^^
|
||||
|
||||
.. code-block:: console
|
||||
|
||||
pip install virtualenv
|
||||
virtualenv <your-env>
|
||||
source <your-env>/bin/activate
|
||||
<your-env>/bin/pip install google-cloud-bigquery
|
||||
|
||||
|
||||
Windows
|
||||
^^^^^^^
|
||||
|
||||
.. code-block:: console
|
||||
|
||||
pip install virtualenv
|
||||
virtualenv <your-env>
|
||||
<your-env>\Scripts\activate
|
||||
<your-env>\Scripts\pip.exe install google-cloud-bigquery
|
||||
|
||||
Example Usage
|
||||
-------------
|
||||
|
||||
Perform a query
|
||||
~~~~~~~~~~~~~~~
|
||||
|
||||
.. code:: python
|
||||
|
||||
from google.cloud import bigquery
|
||||
|
||||
client = bigquery.Client()
|
||||
|
||||
# Perform a query.
|
||||
QUERY = (
|
||||
'SELECT name FROM `bigquery-public-data.usa_names.usa_1910_2013` '
|
||||
'WHERE state = "TX" '
|
||||
'LIMIT 100')
|
||||
query_job = client.query(QUERY) # API request
|
||||
rows = query_job.result() # Waits for query to finish
|
||||
|
||||
for row in rows:
|
||||
print(row.name)
|
||||
|
||||
Instrumenting With OpenTelemetry
|
||||
--------------------------------
|
||||
|
||||
This application uses `OpenTelemetry`_ to output tracing data from
|
||||
API calls to BigQuery. To enable OpenTelemetry tracing in
|
||||
the BigQuery client the following PyPI packages need to be installed:
|
||||
|
||||
.. _OpenTelemetry: https://opentelemetry.io
|
||||
|
||||
.. code-block:: console
|
||||
|
||||
pip install google-cloud-bigquery[opentelemetry] opentelemetry-exporter-gcp-trace
|
||||
|
||||
After installation, OpenTelemetry can be used in the BigQuery
|
||||
client and in BigQuery jobs. First, however, an exporter must be
|
||||
specified for where the trace data will be outputted to. An
|
||||
example of this can be found here:
|
||||
|
||||
.. code-block:: python
|
||||
|
||||
from opentelemetry import trace
|
||||
from opentelemetry.sdk.trace import TracerProvider
|
||||
from opentelemetry.sdk.trace.export import BatchSpanProcessor
|
||||
from opentelemetry.exporter.cloud_trace import CloudTraceSpanExporter
|
||||
tracer_provider = TracerProvider()
|
||||
tracer_provider = BatchSpanProcessor(CloudTraceSpanExporter())
|
||||
trace.set_tracer_provider(TracerProvider())
|
||||
|
||||
In this example all tracing data will be published to the Google
|
||||
`Cloud Trace`_ console. For more information on OpenTelemetry, please consult the `OpenTelemetry documentation`_.
|
||||
|
||||
.. _OpenTelemetry documentation: https://opentelemetry-python.readthedocs.io
|
||||
.. _Cloud Trace: https://cloud.google.com/trace
|
||||
@@ -0,0 +1,111 @@
|
||||
google/cloud/bigquery/__init__.py,sha256=3J0Ud73Hl01xvemMCqKOD5dKgMEPIeJ05YcZ91a1AyM,9360
|
||||
google/cloud/bigquery/__pycache__/__init__.cpython-310.pyc,,
|
||||
google/cloud/bigquery/__pycache__/_helpers.cpython-310.pyc,,
|
||||
google/cloud/bigquery/__pycache__/_http.cpython-310.pyc,,
|
||||
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google
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||||
Reference in New Issue
Block a user