eland | Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch

 by   elastic Python Version: 8.14.0 License: Apache-2.0

kandi X-RAY | eland Summary

kandi X-RAY | eland Summary

eland is a Python library typically used in Big Data, Pandas, Spark applications. eland 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 eland' or download it from GitHub, PyPI.

Eland is a Python Elasticsearch client for exploring and analyzing data in Elasticsearch with a familiar Pandas-compatible API. Where possible the package uses existing Python APIs and data structures to make it easy to switch between numpy, pandas, or scikit-learn to their Elasticsearch powered equivalents. In general, the data resides in Elasticsearch and not in memory, which allows Eland to access large datasets stored in Elasticsearch. Eland also provides tools to upload trained machine learning models from common libraries like scikit-learn, XGBoost, and LightGBM into Elasticsearch.
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              eland has a low active ecosystem.
              It has 519 star(s) with 71 fork(s). There are 49 watchers for this library.
              There were 5 major release(s) in the last 12 months.
              There are 69 open issues and 147 have been closed. On average issues are closed in 78 days. There are 14 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of eland is 8.14.0

            kandi-Quality Quality

              eland has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              eland 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.

            kandi-Reuse Reuse

              eland 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.
              eland saves you 4511 person hours of effort in developing the same functionality from scratch.
              It has 12092 lines of code, 912 functions and 119 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed eland and discovered the below as its top functions. This is intended to give you an instant insight into eland implemented functionality, and help decide if they suit your requirements.
            • Convert CSV to Elasticsearch
            • Convert Pandas DataFrame to Elasticsearch
            • Return Elasticsearch client
            • Delete the trained model
            • Aggregate the results of aggregation
            • Returns True if es_agg compatible with es_agg compatible
            • Groupby columns according to the given list
            • Map Pandas to esaggs
            • Update documentation for Pandoc notebooks
            • Generates the mapping for the given dataframe
            • Fetch index for given index
            • Get the es info
            • Traces the model
            • Plot a series of Edges
            • Compute the metrics for a given query
            • Set Elasticsearch version
            • Return a pandas DataFrame describing the statistics
            • Create the configuration for the model
            • Imports a module
            • Imports a model
            • Extract fields from a mapping
            • Compute a DataFrame containing rows matching the given text
            • Performs an ES match
            • Generate a histogram of data
            • Creates a capability matrix
            • Create a traceable model
            Get all kandi verified functions for this library.

            eland Key Features

            No Key Features are available at this moment for eland.

            eland Examples and Code Snippets

            No Code Snippets are available at this moment for eland.

            Community Discussions

            QUESTION

            How to search exact index (not index pattern) in elasticsearch eland - updated?
            Asked 2022-Jan-27 at 18:45

            I am calling elasticsearch data using eland. The documentation is simple and I am able to implement it, but when searching the index it searches the index string using es_index_pattern which is basically a wildcard (it is also stated in the documentation).

            ...

            ANSWER

            Answered 2022-Jan-27 at 18:45

            Also posted this on Github but I'll replicate here:

            Searching an exact index only requires passing the exact index name, no wildcards are used:

            Source https://stackoverflow.com/questions/70685986

            QUESTION

            How to set higher timeout in a class
            Asked 2020-Dec-21 at 06:23

            This works if the data is not very big. (for e.g. upto 5 MB)

            ...

            ANSWER

            Answered 2020-Dec-21 at 05:04

            The library eland is based on, elasticsearch, allows you to set the Timeout parameter yourself. And the PyPI page for eland elaborates on how to use eland and elasticsearch libraries together to make your requests.

            You could make the request using elasticsearch and get a DataFrame object, which you then to_csv without needing to change your code very much at all.

            I hope my response was helpful!

            Source https://stackoverflow.com/questions/65284229

            QUESTION

            Elastic search parse as object but found nested values
            Asked 2020-Jun-28 at 19:31

            I'm currently working on a project where I have a data stored from previous processing in a csv, and I'd like to give a try to ElasticSearch + Kibana to analyse my data*. The problem is I have a column with json values and some None values that I send with nested type. To clean the None I repalced it by 'null' but I get the following error:

            ...

            ANSWER

            Answered 2020-Jun-27 at 08:52

            Problem is that you defined a type for a column. And you are trying to insert string 'null' in that column.

            Two different types are not supported. It will accept Null value if you do as mentioned here

            A null value cannot be indexed or searched. When a field is set to null, (or an empty array or an array of null values) it is treated as though that field has no values.

            The null_value parameter allows you to replace explicit null values with the specified value so that it can be indexed and searched

            Source https://stackoverflow.com/questions/62607672

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

            Vulnerabilities

            No vulnerabilities reported

            Install eland

            Eland can be installed from PyPI with Pip:.

            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 eland

          • CLONE
          • HTTPS

            https://github.com/elastic/eland.git

          • CLI

            gh repo clone elastic/eland

          • sshUrl

            git@github.com:elastic/eland.git

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