eland | Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch
kandi X-RAY | eland Summary
kandi X-RAY | eland Summary
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.
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
- 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
eland Key Features
eland Examples and Code Snippets
Community Discussions
Trending Discussions on eland
QUESTION
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 18:45Also posted this on Github but I'll replicate here:
Searching an exact index only requires passing the exact index name, no wildcards are used:
QUESTION
This works if the data is not very big. (for e.g. upto 5 MB)
...ANSWER
Answered 2020-Dec-21 at 05:04The 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!
QUESTION
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 08:52Problem 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
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install eland
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page