Pregel | Toy single-machine implementation | Machine Learning library

 by   mnielsen Python Version: Current License: No License

kandi X-RAY | Pregel Summary

kandi X-RAY | Pregel Summary

Pregel is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Tensorflow applications. Pregel has no bugs, it has no vulnerabilities and it has low support. However Pregel build file is not available. You can download it from GitHub.

This is a toy single-machine implementation of Pregel, Google’s system for running large-scale graph algorithms on a large cluster of machines. For an illustration of how to use this implementation of Pregel, see the example code in pagerank.py. For more information, see
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            kandi-support Support

              Pregel has a low active ecosystem.
              It has 99 star(s) with 35 fork(s). There are 10 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              Pregel has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of Pregel is current.

            kandi-Quality Quality

              Pregel has 0 bugs and 4 code smells.

            kandi-Security Security

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

            kandi-License License

              Pregel 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

              Pregel releases are not available. You will need to build from source code and install.
              Pregel has no build file. You will be need to create the build yourself to build the component from source.
              Pregel saves you 36 person hours of effort in developing the same functionality from scratch.
              It has 98 lines of code, 16 functions and 2 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed Pregel and discovered the below as its top functions. This is intended to give you an instant insight into Pregel implemented functionality, and help decide if they suit your requirements.
            • Run the loop
            • Starts the superstep
            • Return a partition of vertices
            • Distribute incoming messages
            • Check if all vertices are active
            • Return the worker number for a given vertex
            • Run the step
            • Update all vertices
            Get all kandi verified functions for this library.

            Pregel Key Features

            No Key Features are available at this moment for Pregel.

            Pregel Examples and Code Snippets

            No Code Snippets are available at this moment for Pregel.

            Community Discussions

            QUESTION

            How can I print out the shortest path by using Spark Graphx
            Asked 2021-Nov-11 at 05:08

            The following code runs well, it print out the shortest path length between two vertexes. But how can I print out the real path or the detail edges (not only the length) between two vertexes?

            ...

            ANSWER

            Answered 2021-Nov-11 at 05:08

            You can use graphFrame.

            Source https://stackoverflow.com/questions/69921816

            QUESTION

            Why I get TypeMismatch error in performing Pregel in Spark GraphX?
            Asked 2020-Aug-14 at 06:12

            I have wrote my algorithm with Pregel in Spark GraphX. But unfortunately I get TypeMismatch Error. I load the graph with : val my_graph= GraphLoader.edgeListFile(sc, path). So the beginning the nodes have a structure such as:

            ...

            ANSWER

            Answered 2020-Aug-14 at 06:12

            The main problem is that you use two different types for the messages. The initial messages are of type mutable.HashMap[VertexId, (Double,VertexId)] but after merging two (with the mergeMessage function) the type becomes mutable.HashMap[VertexId, List[(Double,VertexId)]]. The problem here is that now the merged message can't merge with another message since the type is wrong.

            There are two ways to solve this:

            1. Change the message type to mutable.HashMap[VertexId, List[(Double,VertexId)]], making sure the initial messages matches this.
            2. Keep the message type as mutable.HashMap[VertexId, (Double,VertexId)] and change the output type of mergeMessage to match.

            Below are some sketches on possible solutions for both options. There could be some errors inside them since the actual wanted logic is not very clear (there are some unused variables in the code, etc.) Both options can run when combined with the rest of the code and will return a new graph.

            Solution 1:

            You need to adjust sendMessage, mergeMessage and initialMessage to handle Lists. This could be done as follows:

            Source https://stackoverflow.com/questions/63352562

            QUESTION

            Why i get Typemismatch error in Pregel in Spark GraphX?
            Asked 2020-Aug-03 at 11:35

            I am trying to define sendMessage function in Pregel in GraphX to send each nodes attribute to its neighbors. the graph has a structure such as:

            ...

            ANSWER

            Answered 2020-Aug-03 at 11:35

            The problem is here: you have a graph that its nodes property is (VertexId,Double) but you have defined the e: EdgeTriplet[VertexId, ED] which needs to be corrected and it should be e: EdgeTriplet[(VertexId,Double), ED]. This means that your vertexes or your nodes property in Graph have (VertexId,Double)as their property.

            Source https://stackoverflow.com/questions/63228559

            QUESTION

            Gremlin traversal queries on spark graph
            Asked 2020-May-29 at 13:39

            I have build a property graph(60 million nodes, 40 million edges) from s3 using Apache Spark Graphx framework. I want to fire traversal queries on this graph.

            My queries will be like:-

            g.V().has("name","xyz").out('parent').out().has('name','abc')

            g.V().has('proc_name','serv.exe').out('file_create').has('file_path',containing('Tsk04.txt')).in().in('parent').values('proc_name')

            g.V().has('md5','935ca12348040410e0b2a8215180474e').values('files')

            mostly queries are of form g.V().out().out().out()

            Such queries are easily possible on graph db's like neo4j,titan,aws neptune since they support gremlin.

            Can we traverse spark graphs in such manner. I tried spark pregel-api but its bit complex as compared to gremlin.

            Reason I am looking for spark graph is because cloud solutions of above mentioned graphdbs is costly.

            ...

            ANSWER

            Answered 2020-May-29 at 13:39

            spark graphframes library should be most convenient for you. it provides neo4j-cypher-like traversal description and use spark dataframes api for filtering
            https://graphframes.github.io/graphframes/docs/_site/user-guide.html#motif-finding Here is an example:

            Source https://stackoverflow.com/questions/62086093

            QUESTION

            Why i get Type mismatch in Spark?
            Asked 2020-Apr-02 at 06:02

            i have downloaded the Label propagation algorithm source code from internet. the source is as below:

            ...

            ANSWER

            Answered 2020-Apr-02 at 06:02

            as i understand from your question, your label property would be Long, or Int or any other type that is different from VD. try testing this:

            Source https://stackoverflow.com/questions/60978653

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

            Vulnerabilities

            No vulnerabilities reported

            Install Pregel

            You can download it from GitHub.
            You can use Pregel 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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