sql-metadata | Uses tokenized query returned by python-sqlparse | SQL Database library

by macbre Python Version: 2.8.0 License: MIT

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

kandi X-RAY | sql-metadata Summary

sql-metadata is a Python library typically used in Database, SQL Database applications. sql-metadata has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However sql-metadata build file is not available. You can install using 'pip install sql-metadata' or download it from GitHub, PyPI.

Uses tokenized query returned by python-sqlparse and generates query metadata

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Quality

Security

License

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Support

sql-metadata has a low active ecosystem.

It has 562 star(s) with 94 fork(s). There are 14 watchers for this library.

It had no major release in the last 12 months.

There are 52 open issues and 90 have been closed. On average issues are closed in 26 days. There are 4 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of sql-metadata is 2.8.0

Quality

sql-metadata has 0 bugs and 57 code smells.

Security

sql-metadata has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

sql-metadata code analysis shows 0 unresolved vulnerabilities.

There are 1 security hotspots that need review.

License

sql-metadata is licensed under the MIT License. This license is Permissive.

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

Reuse

sql-metadata releases are available to install and integrate.

Deployable package is available in PyPI.

sql-metadata has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

sql-metadata saves you 245 person hours of effort in developing the same functionality from scratch.

It has 4190 lines of code, 224 functions and 30 files.

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

Top functions reviewed by kandi - BETA

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

Return a list of SQL tokens
Determine the closing parenthesis type
Combine qualified names
Combine two tokens
List of column names
Adds an alias to the columns aliases section
Handle column save
Adds column to section
Dictionary of column alias aliases
Find all columns between start_token and end_token
Find a column alias for a given token
Resolve an alias to a column
Grain the query
Return a dict of query_queries
Return the query type
Returns a list of the names of the tokens
Dictionary of table aliases
A dict of subqueries
List of tables
Return the column names
List of subqueries names
Return a list of column alias names
List of values
Checks if this column is an alias of this column
Return True if this is a with statement
Determine if the token is in a statement

Get all kandi verified functions for this library.

sql-metadata Key Features

No Key Features are available at this moment for sql-metadata.

sql-metadata Examples and Code Snippets

No Code Snippets are available at this moment for sql-metadata.

Community Discussions

Trending Discussions on sql-metadata

Type casting error while ingesting data from PostgreSQL to Druid

"Failed to submit supervisor: Request failed with status code 502" on submitting ingestion spec to router

QUESTION

Type casting error while ingesting data from PostgreSQL to Druid

Asked 2019-Jul-12 at 11:58

I'm trying to ingest data from PostgreSQL to Druid using Firehose.

I have added druid.extensions.loadList=["postgresql-metadata-storage"] in conf file, but the task fails throwing

java.lang.ClassCastException: java.util.LinkedHashMap cannot be cast to java.nio.ByteBuffer

ingestion spec file

...

ANSWER

Answered 2019-Jul-12 at 11:58

If anyone looking for the answer. We have to use map parser when fetching data from SQL.This is the updated spec I'm using.

Source https://stackoverflow.com/questions/56967897

QUESTION

"Failed to submit supervisor: Request failed with status code 502" on submitting ingestion spec to router

Asked 2019-May-22 at 11:36

I am getting the error "Failed to submit supervisor: Request failed with status code 502" when I am trying to submit an ingestion spec to the druid UI (through the router). The ingestion spec works in a standalone druid server.

I have set up the cluster using 4 machines-1 for the coordinator and overlord (master), 1 for historical and middle manager (data), 1 for broker (query), and 1 for router, with a separate instance for zookeeper. There is no error in the logs.

The ingestion spec is as follows:

...

ANSWER

Answered 2019-May-22 at 11:36

It happened because the druid-kafka-indexing-service extension was missing from the extension list of common.runtime.properties.

Source https://stackoverflow.com/questions/56220800

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

Vulnerabilities

No vulnerabilities reported

Install sql-metadata

You can install using 'pip install sql-metadata' or download it from GitHub, PyPI.
You can use sql-metadata 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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