bulk-geo-es | ArcPy toolbox to bulk load features
kandi X-RAY | bulk-geo-es Summary
kandi X-RAY | bulk-geo-es Summary
bulk-geo-es is a Python library. bulk-geo-es has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However bulk-geo-es build file is not available. You can download it from GitHub.
This ArcPy based tool uses the Python Elasticsearch Client API to bulk load the content of a feature class into Elasticsearch using the bulk REST API. The tool retrieves the description of the fields in a specified feature class and creates an index mapping before the bulk import starts. The geometry of point features can be stored as geo_points or geo_shapes. The geometry of polyline or polygon features is stored as an instance of geo_shape. Each feature is converted it to a JSON document. In the case where the geometry of the feature is of type (multi)linestring or (multi)polygon, then it has to be converted to a GeoJSON element in the document. Note: There is a little hidden gem in ArcPy, where you can get the GeoJSON representation of a geometry by accessing its __geo_interface__ property.
This ArcPy based tool uses the Python Elasticsearch Client API to bulk load the content of a feature class into Elasticsearch using the bulk REST API. The tool retrieves the description of the fields in a specified feature class and creates an index mapping before the bulk import starts. The geometry of point features can be stored as geo_points or geo_shapes. The geometry of polyline or polygon features is stored as an instance of geo_shape. Each feature is converted it to a JSON document. In the case where the geometry of the feature is of type (multi)linestring or (multi)polygon, then it has to be converted to a GeoJSON element in the document. Note: There is a little hidden gem in ArcPy, where you can get the GeoJSON representation of a geometry by accessing its __geo_interface__ property.
Support
Quality
Security
License
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Support
bulk-geo-es has a low active ecosystem.
It has 26 star(s) with 10 fork(s). There are 6 watchers for this library.
It had no major release in the last 6 months.
There are 2 open issues and 0 have been closed. On average issues are closed in 1811 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of bulk-geo-es is current.
Quality
bulk-geo-es has 0 bugs and 0 code smells.
Security
bulk-geo-es has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
bulk-geo-es code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
bulk-geo-es 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
bulk-geo-es releases are not available. You will need to build from source code and install.
bulk-geo-es 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.
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bulk-geo-es Key Features
No Key Features are available at this moment for bulk-geo-es.
bulk-geo-es Examples and Code Snippets
No Code Snippets are available at this moment for bulk-geo-es.
Community Discussions
No Community Discussions are available at this moment for bulk-geo-es.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install bulk-geo-es
You can download it from GitHub.
You can use bulk-geo-es 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.
You can use bulk-geo-es 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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