python-bigquery-storage | Google BigQuery Storage API_ | Development Tools library

by googleapis Python Version: v2.20.0 License: Apache-2.0

X-Ray Key Features Code Snippets(2)Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | python-bigquery-storage Summary

python-bigquery-storage is a Python library typically used in Utilities, Development Tools applications. python-bigquery-storage has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install python-bigquery-storage' or download it from GitHub, PyPI.

python-bigquery-storage

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Quality

Security

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python-bigquery-storage has a low active ecosystem.

It has 81 star(s) with 37 fork(s). There are 46 watchers for this library.

It had no major release in the last 12 months.

There are 14 open issues and 79 have been closed. On average issues are closed in 151 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of python-bigquery-storage is v2.20.0

Quality

python-bigquery-storage has 0 bugs and 0 code smells.

Security

python-bigquery-storage has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

python-bigquery-storage code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

python-bigquery-storage is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

python-bigquery-storage releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

python-bigquery-storage saves you 2413 person hours of effort in developing the same functionality from scratch.

It has 5259 lines of code, 298 functions and 53 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed python-bigquery-storage and discovered the below as its top functions. This is intended to give you an instant insight into python-bigquery-storage implemented functionality, and help decide if they suit your requirements.

Convert a message to a pandas DataFrame
Deserialize a row from a row
Parse the fastavro schema
Parses the avro schema
Read rows from a stream
Reconnect the stream
Tries to retry the given exception
Convert the stream to a Pandas DataFrame
Convert the stream to a table
Return a dict of dtypes dtypes
Run the test
Install system dependencies
Leave a call
Partition a function into two lists
Generate README rst
Run tests
Creates a stream
Parses a message into dictionaries
Returns the next row
Convert message to pandas DataFrame
Return a list of rows
Run flake8
Returns an iterator over the rows in the stream
Called when RPC terminates
Fixes files in_dir
Convert the table to a pandas DataFrame

Get all kandi verified functions for this library.

python-bigquery-storage Key Features

No Key Features are available at this moment for python-bigquery-storage.

python-bigquery-storage Examples and Code Snippets

Unable to import BigQuery data into GCP AI Notebook

Python

Lines of Code : 4

License : Strong Copyleft (CC BY-SA 4.0)

Copy

!sudo /opt/conda/bin/conda install -c conda-forge google-cloud-bigquery google-cloud-bigquery-storage pandas pyarrow --yes

%pip install google-cloud-bigquery

Google Bigquery Storage: DeadlineExceeded Error when reading to_dataframe

Python

Lines of Code : 4

License : Strong Copyleft (CC BY-SA 4.0)

Copy

reader = bqstorageclient.read_rows(position)

reader = bqstorageclient.read_rows(position, timeout=100)

Community Discussions

Trending Discussions on python-bigquery-storage

How can I get 'Bytes processed' and 'Bytes billed' when reading from Bigquery Storage API (python)

QUESTION

How can I get 'Bytes processed' and 'Bytes billed' when reading from Bigquery Storage API (python)

Asked 2020-May-11 at 14:18

I'm reading data from partitioned and clustered BigQuery table. The only way to get exactly the 'Bytes processed' value is to actually run the query.

Now if I'm reading the same data using python client library for Storage API, (taking setup from https://github.com/googleapis/python-bigquery-storage/blob/master/samples/quickstart.py) How can I get 'bytes processed' in this case?

...

ANSWER

Answered 2020-May-04 at 11:15

Bytes processed is measured when the storage API reads the column files. In your Java example you do that by invoking the storage API. In BQ this is only invoked when you run the query.

If you just edit the query in the console, BQ will give you an estimate only.

Source https://stackoverflow.com/questions/61572608

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install python-bigquery-storage

You can install using 'pip install python-bigquery-storage' or download it from GitHub, PyPI.
You can use python-bigquery-storage like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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