bigquery-schema-generator | BigQuery schema from newline-delimited JSON | CSV Processing library
kandi X-RAY | bigquery-schema-generator Summary
kandi X-RAY | bigquery-schema-generator Summary
bigquery-schema-generator is a Python library typically used in Utilities, CSV Processing applications. bigquery-schema-generator 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 bigquery-schema-generator' or download it from GitHub, PyPI.
This script generates the BigQuery schema from the newline-delimited data records on the STDIN. The records can be in JSON format or CSV format. The BigQuery data importer (bq load) uses only the first 100 lines when the schema auto-detection feature is enabled. In contrast, this script uses all data records to generate the schema.
This script generates the BigQuery schema from the newline-delimited data records on the STDIN. The records can be in JSON format or CSV format. The BigQuery data importer (bq load) uses only the first 100 lines when the schema auto-detection feature is enabled. In contrast, this script uses all data records to generate the schema.
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Quality
Security
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bigquery-schema-generator has a low active ecosystem.
It has 218 star(s) with 50 fork(s). There are 5 watchers for this library.
It had no major release in the last 12 months.
There are 3 open issues and 34 have been closed. On average issues are closed in 19 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of bigquery-schema-generator is 1.6.1
Quality
bigquery-schema-generator has 0 bugs and 33 code smells.
Security
bigquery-schema-generator has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
bigquery-schema-generator code analysis shows 0 unresolved vulnerabilities.
There are 2 security hotspots that need review.
License
bigquery-schema-generator 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
bigquery-schema-generator releases are available to install and integrate.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
Installation instructions, examples and code snippets are available.
bigquery-schema-generator saves you 491 person hours of effort in developing the same functionality from scratch.
It has 1529 lines of code, 71 functions and 9 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed bigquery-schema-generator and discovered the below as its top functions. This is intended to give you an instant insight into bigquery-schema-generator implemented functionality, and help decide if they suit your requirements.
- Run the deduce
- Merges a schema entry
- Build a BigQuery schema from a schema_map
- Recursively deduce the schema from the given data record
- Construct a schema entry for a key
- Convert type to string
- Merges old schema
- Infer the type of the value
- Reduce the schema for a record
- Infer BigQuery node type
- Infer the type of an array
- A generator that yields JSON objects
- Sanitize name
- Flattens a schema
- Return the full path to a JSON object
- Check if the given type is a string type
- Read an existing schema from a file
- Convert a BigQuery schema field to an OrderedDict
- Convert a bq schema to a mapping
- Convert a BQ type to an entry type
Get all kandi verified functions for this library.
bigquery-schema-generator Key Features
No Key Features are available at this moment for bigquery-schema-generator.
bigquery-schema-generator Examples and Code Snippets
No Code Snippets are available at this moment for bigquery-schema-generator.
Community Discussions
Trending Discussions on bigquery-schema-generator
QUESTION
Retrieving BigQuery validation errors when loading JSONL data via the Python API
Asked 2022-Feb-02 at 18:44
How can I retrieve more information relating to the validation errors when loading a JSONL file into BigQuery? (The question is not about solving the issue)
Example code:
...ANSWER
Answered 2022-Feb-02 at 15:29To be able to show a more helpful error message, you can import google.api_core.exceptions.BadRequest to catch exceptions and then use LoadJob attribute errors to get verbose error messages from the job.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install bigquery-schema-generator
Prerequisite: You need have Python 3.6 or higher.
If you are using a virtual environment (such as venv), then use:
If you aren't using a virtual environment you can install into your local Python directory:
If you want to install the package for your entire system globally, use
If you are using a virtual environment (such as venv), then use:
If you aren't using a virtual environment you can install into your local Python directory:
If you want to install the package for your entire system globally, use
Support
The bq show --schema command produces a JSON schema file that uses the older Legacy SQL date types. For compatibility, generate-schema script will also generate a schema file using the legacy data types.
Find more information at:
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