elasticsearch_loader | A tool for batch loading data files | JSON Processing library

by moshe Python Version: Current License: MIT

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

kandi X-RAY | elasticsearch_loader Summary

elasticsearch_loader is a Python library typically used in Utilities, JSON Processing, Amazon S3 applications. elasticsearch_loader 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 elasticsearch_loader' or download it from GitHub, PyPI.

A tool for batch loading data files (json, parquet, csv, tsv) into ElasticSearch

Support

Quality

Security

License

Reuse

Support

elasticsearch_loader has a low active ecosystem.

It has 308 star(s) with 54 fork(s). There are 17 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 48 have been closed. On average issues are closed in 40 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of elasticsearch_loader is current.

Quality

elasticsearch_loader has 0 bugs and 0 code smells.

Security

elasticsearch_loader has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

elasticsearch_loader code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

elasticsearch_loader 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

elasticsearch_loader releases are not available. You will need to build from source code and install.

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.

elasticsearch_loader saves you 174 person hours of effort in developing the same functionality from scratch.

It has 431 lines of code, 29 functions and 14 files.

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

Top functions reviewed by kandi - BETA

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

Load JSON from files
Build bulk index
Convert a single bulk request to Elasticsearch
Load bulk files
Slice an iterable
Yield JSON lines from a file
Command line interface to Elasticsearch
Logs a message to the console
Format a message
Load an S3 bucket
Returns an iterator over the objects in s3
Helper function for Redis
Yield items from redis list
Load csv files
Parquet files
Load entry points

Get all kandi verified functions for this library.

elasticsearch_loader Key Features

No Key Features are available at this moment for elasticsearch_loader.

elasticsearch_loader Examples and Code Snippets

No Code Snippets are available at this moment for elasticsearch_loader.

Community Discussions

Trending Discussions on elasticsearch_loader

Upload new line JSON to Elasticsearch bulk API

Not able to get any results on using bucket aggregations

QUESTION

Upload new line JSON to Elasticsearch bulk API

Asked 2020-Apr-16 at 16:42

I'm trying to upload a new line JSON to Elasticsearch using the Bulk API. The bulk JSON I'm uploading looks like this, with each JSON on a new line:

...

ANSWER

Answered 2020-Apr-16 at 11:52

curl -H 'Content-Type: application/x-ndjson' -XPOST 'localhost:9200/index-name/doc-type/_bulk?pretty' --data-binary @my_newline_json.json

Source https://stackoverflow.com/questions/61247966

QUESTION

Not able to get any results on using bucket aggregations

Asked 2020-Jan-27 at 06:51

I have some PR data in my ES. This is how the documents are modelled

...

ANSWER

Answered 2020-Jan-27 at 06:51

Based on your mapping:

Author field is declared as text (used for full-text search) and keyword (used for matching whole values).

Read difference between textv/skeyword.
The parent mapping name is Stats.

You should therefore use Stats.Author.keyword in your aggregation query i.e:

Source https://stackoverflow.com/questions/59922470

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

Vulnerabilities

No vulnerabilities reported

Install elasticsearch_loader

You can install using 'pip install elasticsearch_loader' or download it from GitHub, PyPI.
You can use elasticsearch_loader 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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