pyes | Python connector for ElasticSearch - the pythonic way | Database library

 by   aparo Python Version: 0.99.6 License: BSD-3-Clause

kandi X-RAY | pyes Summary

kandi X-RAY | pyes Summary

pyes is a Python library typically used in Database applications. pyes has no vulnerabilities, it has build file available, it has a Permissive License and it has high support. However pyes has 10 bugs. You can install using 'pip install pyes' or download it from GitHub, PyPI.

pyes is a pythonic way to use ElasticSearch since 2010. This version requires elasticsearch 1.x or above. It’s a pre release for pyes 1.x. Give a look to migrations documentation to upgrade you code for ElasticSearch 1.x.
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            kandi-support Support

              pyes has a highly active ecosystem.
              It has 608 star(s) with 280 fork(s). There are 29 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 56 open issues and 162 have been closed. On average issues are closed in 247 days. There are no pull requests.
              OutlinedDot
              It has a negative sentiment in the developer community.
              The latest version of pyes is 0.99.6

            kandi-Quality Quality

              pyes has 10 bugs (0 blocker, 1 critical, 8 major, 1 minor) and 162 code smells.

            kandi-Security Security

              pyes has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              pyes code analysis shows 0 unresolved vulnerabilities.
              There are 21 security hotspots that need review.

            kandi-License License

              pyes is licensed under the BSD-3-Clause License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              pyes 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 are not available. Examples and code snippets are available.
              pyes saves you 5404 person hours of effort in developing the same functionality from scratch.
              It has 11333 lines of code, 954 functions and 75 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed pyes and discovered the below as its top functions. This is intended to give you an instant insight into pyes implemented functionality, and help decide if they suit your requirements.
            • Fix references to xref
            • Colorize text
            • Create a new instance of this instance
            • Set the query start position
            • Process an email
            • Send a request
            • Index a document
            • Make a path
            • Ensure an index exists
            • Serialize the filter to a dictionary
            • Serialize the object to a dictionary
            • Bulk create one or more objects
            • Execute a request
            • Update a document
            • Register the extension
            • Analyze text
            • Aggregate the results
            • Serialize the data into a dictionary
            • Search for dates
            • Update the document
            • Convert mappings to python code
            • Migrate a mapping to a specific type
            • Create a new Query object
            • Serialize the query into a dictionary
            • Get or create an object
            • Shut down the cluster
            Get all kandi verified functions for this library.

            pyes Key Features

            No Key Features are available at this moment for pyes.

            pyes Examples and Code Snippets

            Extract data part in log file
            Pythondot img1Lines of Code : 38dot img1License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            import pandas as pd
            import json
            import pyes # For documentation around pyes.es : https://pyes.readthedocs.org/en/latest/references/pyes.es.html
            import requests
            import  numpy as np
            import datetime
            import inspect
            import re
            
            
            v = open(r"C:/la
            Elasticsearch is missing data when querying after insert
            Pythondot img2Lines of Code : 7dot img2License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            POST index/type?refresh=wait_for
            {
              "field1":"test",
              "field2":2,
              "field3":"testing"
            }
            
            python elasticsearch client error: timed out while get_alias
            Pythondot img3Lines of Code : 2dot img3License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            pyes.es.ES(server, timeout=30, bulk_size=500,max_retries=10)
            

            Community Discussions

            Trending Discussions on pyes

            QUESTION

            Todays date as column name
            Asked 2020-May-22 at 15:28

            Im trying to get the state field in the below query to have today's date as the column alias:

            ...

            ANSWER

            Answered 2020-May-22 at 15:28

            You could largely shorten the query by using ISNULL() instead of these multiple CASE expressions. As an example, this:

            Source https://stackoverflow.com/questions/61947002

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

            Vulnerabilities

            No vulnerabilities reported

            Install pyes

            You can install using 'pip install pyes' or download it from GitHub, PyPI.
            You can use pyes 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 .
            Find more information at:

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            Install
          • PyPI

            pip install pyes

          • CLONE
          • HTTPS

            https://github.com/aparo/pyes.git

          • CLI

            gh repo clone aparo/pyes

          • sshUrl

            git@github.com:aparo/pyes.git

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