elasticsearch-logs | Script to parse slow query log flles from Elasticsearch

 by   meconlin Python Version: Current License: No License

kandi X-RAY | elasticsearch-logs Summary

kandi X-RAY | elasticsearch-logs Summary

elasticsearch-logs is a Python library typically used in Logging applications. elasticsearch-logs has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Script to parse slow query log flles from Elasticsearch
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            kandi-support Support

              elasticsearch-logs has a low active ecosystem.
              It has 8 star(s) with 2 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 1 open issues and 0 have been closed. On average issues are closed in 2387 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of elasticsearch-logs is current.

            kandi-Quality Quality

              elasticsearch-logs has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              elasticsearch-logs does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              elasticsearch-logs releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed elasticsearch-logs and discovered the below as its top functions. This is intended to give you an instant insight into elasticsearch-logs implemented functionality, and help decide if they suit your requirements.
            • Read a histogram file .
            • Pretty print a dictionary .
            • Parse a node and return its indices .
            • Parse a query .
            • Parses the timestamp from a string .
            • Compute the average of a list .
            • Find things inside a text .
            Get all kandi verified functions for this library.

            elasticsearch-logs Key Features

            No Key Features are available at this moment for elasticsearch-logs.

            elasticsearch-logs Examples and Code Snippets

            No Code Snippets are available at this moment for elasticsearch-logs.

            Community Discussions

            QUESTION

            how to know the reason of Back-off restarting failed container of elasticsearch
            Asked 2020-Feb-27 at 07:46

            I am deploy elasticsearch in my kubernetes cluster using this command follow this doc:

            ...

            ANSWER

            Answered 2020-Feb-27 at 07:46

            I think the init container elastic-internal-init-filesystem is not running. Check logs of init container kubectl logs -c elastic-internal-init-filesystem

            The recommended debugging steps of init container.

            Source https://stackoverflow.com/questions/60426886

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

            Vulnerabilities

            No vulnerabilities reported

            Install elasticsearch-logs

            You can download it from GitHub.
            You can use elasticsearch-logs 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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            CLONE
          • HTTPS

            https://github.com/meconlin/elasticsearch-logs.git

          • CLI

            gh repo clone meconlin/elasticsearch-logs

          • sshUrl

            git@github.com:meconlin/elasticsearch-logs.git

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