Python-Elasticsearch | example program that scrapes data | JSON Processing library

 by   kadnan Python Version: Current License: MIT

kandi X-RAY | Python-Elasticsearch Summary

kandi X-RAY | Python-Elasticsearch Summary

Python-Elasticsearch is a Python library typically used in Utilities, JSON Processing applications. Python-Elasticsearch has no vulnerabilities, it has a Permissive License and it has low support. However Python-Elasticsearch has 3 bugs and it build file is not available. You can download it from GitHub.

An example program that scrapes data from AllRecipes.com and store in Elasticsearch
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              Python-Elasticsearch has a low active ecosystem.
              It has 99 star(s) with 62 fork(s). There are 4 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 0 open issues and 1 have been closed. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of Python-Elasticsearch is current.

            kandi-Quality Quality

              Python-Elasticsearch has 3 bugs (0 blocker, 3 critical, 0 major, 0 minor) and 3 code smells.

            kandi-Security Security

              Python-Elasticsearch has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              Python-Elasticsearch code analysis shows 0 unresolved vulnerabilities.
              There are 1 security hotspots that need review.

            kandi-License License

              Python-Elasticsearch is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              Python-Elasticsearch releases are not available. You will need to build from source code and install.
              Python-Elasticsearch has no build file. You will be need to create the build yourself to build the component from source.
              Python-Elasticsearch saves you 50 person hours of effort in developing the same functionality from scratch.
              It has 133 lines of code, 5 functions and 1 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed Python-Elasticsearch and discovered the below as its top functions. This is intended to give you an instant insight into Python-Elasticsearch implemented functionality, and help decide if they suit your requirements.
            • Parse recipe .
            • Create index .
            • Store a record in elasticsearch .
            • Connect to Elasticsearch
            • Search Elasticsearch .
            Get all kandi verified functions for this library.

            Python-Elasticsearch Key Features

            No Key Features are available at this moment for Python-Elasticsearch.

            Python-Elasticsearch Examples and Code Snippets

            No Code Snippets are available at this moment for Python-Elasticsearch.

            Community Discussions

            QUESTION

            fetch limited data from Elastic search indices using match all query python
            Asked 2019-Jun-06 at 08:56

            I am writing a python program to get the data from the elastic search indices. I want to get the data based on the match query which i indicated is upto 25. I want the first 25 data's. The data's in my index is 10842. But it retrieves all the data from the index of the elastic search. I checked solution from here matchall query for es but it doesn't helped me. Help me with some solutions

            Here's the code:

            ...

            ANSWER

            Answered 2019-Jun-06 at 08:56

            This is what the scan method does... it uses scroll method under the hood, if you look into the api documentation, the size is actually means batch size.

            Source https://stackoverflow.com/questions/56471559

            QUESTION

            Elasticsearch: No handler for type [text] declared on field
            Asked 2017-Sep-12 at 14:17

            I'm using elasticsearch-5.4.1 and am unable to create a mapping for a custom type on my index. Basically I'm trying to create a document of a login to a system.

            I created an index via curl curl -X PUT http://localhost:9200/userlogin

            I can see it with curl -XGET 'localhost:9200/_cat/indices?v&pretty'

            To create the mapping (which fails):

            ...

            ANSWER

            Answered 2017-Jun-09 at 04:33

            Are you sure you are connecting to an Elastic search 5.4 instance? From the error it looks like you are connecting to an older version (2.4 ?).

            Try doing the following on your terminal and see if you are really connecting to 5.4 instance.

            Source https://stackoverflow.com/questions/44421237

            QUESTION

            Elasticsearch Python Client indexing JSON
            Asked 2017-Apr-12 at 15:56

            I ran in a problem while playing around with the Elasticsearch Python Client. I have (valid!) JSON in a file called test.json. I now want to index that JSON in elasticsearch. I tried this little Tutorial to check if I can connect to my local elasticsearch instance and it worked, so i believe the problem is not in my connection to elasticsearch.

            When I run my little code here:

            ...

            ANSWER

            Answered 2017-Apr-12 at 15:56

            Given the structure of your test.json file, you need to parse it and then iterate over each document in the array:

            Source https://stackoverflow.com/questions/43371547

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

            Vulnerabilities

            No vulnerabilities reported

            Install Python-Elasticsearch

            You can download it from GitHub.
            You can use Python-Elasticsearch 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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