target-snowflake | A Singer.io Target for Snowflake

 by   datamill-co Python Version: 0.2.4 License: MIT

kandi X-RAY | target-snowflake Summary

kandi X-RAY | target-snowflake Summary

target-snowflake is a Python library. target-snowflake 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 target-snowflake' or download it from GitHub, PyPI.

A Singer Snowflake target, for use with Singer streams generated by Singer taps.
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            kandi-support Support

              target-snowflake has a low active ecosystem.
              It has 10 star(s) with 13 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 7 open issues and 1 have been closed. On average issues are closed in 10 days. There are 5 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of target-snowflake is 0.2.4

            kandi-Quality Quality

              target-snowflake has 0 bugs and 0 code smells.

            kandi-Security Security

              target-snowflake has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              target-snowflake code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              target-snowflake is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              target-snowflake 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 are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed target-snowflake and discovered the below as its top functions. This is intended to give you an instant insight into target-snowflake implemented functionality, and help decide if they suit your requirements.
            • Write a batch of data to a stream
            • Get a connection to Snowflake
            • Execute a command
            • Return the metadata for a table
            • Write a table to the database
            • Convert identifiers to underscores
            • Performs an update statement
            • Persists csv rows from csv rows
            • Activate a table version
            • Set table metadata
            • Add table mapping
            • The main entry point
            • The main function
            • Creates a new table
            • Add a column mapping
            • Adds a column to the table
            • Check if table_name is empty
            • Migrate a column
            • Drop a column from a table
            • Make a column nullable
            • Add key properties to the table
            • Drops a column mapping
            Get all kandi verified functions for this library.

            target-snowflake Key Features

            No Key Features are available at this moment for target-snowflake.

            target-snowflake Examples and Code Snippets

            No Code Snippets are available at this moment for target-snowflake.

            Community Discussions

            No Community Discussions are available at this moment for target-snowflake.Refer to stack overflow page for discussions.

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

            Vulnerabilities

            No vulnerabilities reported

            Install target-snowflake

            You can install using 'pip install target-snowflake' or download it from GitHub, PyPI.
            You can use target-snowflake 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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            Install
          • PyPI

            pip install target-snowflake

          • CLONE
          • HTTPS

            https://github.com/datamill-co/target-snowflake.git

          • CLI

            gh repo clone datamill-co/target-snowflake

          • sshUrl

            git@github.com:datamill-co/target-snowflake.git

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