neo4j-to-elasticsearch | GraphAware Framework Module for Integrating Neo4j | Graph Database library

 by   graphaware Java Version: Current License: No License

kandi X-RAY | neo4j-to-elasticsearch Summary

kandi X-RAY | neo4j-to-elasticsearch Summary

neo4j-to-elasticsearch is a Java library typically used in Database, Graph Database, Neo4j, Framework applications. neo4j-to-elasticsearch has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub, Maven.

GraphAware Neo4j Elasticsearch Integration (Neo4j Module) - RETIRED.
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            kandi-support Support

              neo4j-to-elasticsearch has a low active ecosystem.
              It has 250 star(s) with 54 fork(s). There are 39 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 0 open issues and 136 have been closed. On average issues are closed in 873 days. There are 2 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of neo4j-to-elasticsearch is current.

            kandi-Quality Quality

              neo4j-to-elasticsearch has 0 bugs and 0 code smells.

            kandi-Security Security

              neo4j-to-elasticsearch has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              neo4j-to-elasticsearch code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              neo4j-to-elasticsearch does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
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              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              neo4j-to-elasticsearch releases are not available. You will need to build from source code and install.
              Deployable package is available in Maven.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              It has 5423 lines of code, 460 functions and 70 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed neo4j-to-elasticsearch and discovered the below as its top functions. This is intended to give you an instant insight into neo4j-to-elasticsearch implemented functionality, and help decide if they suit your requirements.
            • Search for nodes or relationships
            • Gets a relationship resolver that can be used to resolve relationships
            • Gets the node resolver
            • Builds a list of search matches from a search result
            • Starts the database
            • Executes the bulk operations
            • Reindex a database
            • Flushes the batches
            • Starts the Elasticsearch writer
            • Create a custom JestClient
            • Stops the Elasticsearch client
            • Shut down the client
            • Creates the indices
            • Creates an index
            • Bootstrap the Elasticsearch module
            • Load a Mapping class
            • Configures ElasticSearch
            • Returns a bulk delete operation
            • Queries a single node
            • Creates a hash code for this request
            • Returns true if the specified object matches the specified object
            Get all kandi verified functions for this library.

            neo4j-to-elasticsearch Key Features

            No Key Features are available at this moment for neo4j-to-elasticsearch.

            neo4j-to-elasticsearch Examples and Code Snippets

            No Code Snippets are available at this moment for neo4j-to-elasticsearch.

            Community Discussions

            QUESTION

            How to update a neo4j graph database from an Elastic Search with mimimal latency?
            Asked 2020-Jul-04 at 11:23

            I have a number of Elastic Search indices which are updated on a regular basis, and I'd like to have these updates reflected in a neo4j graph database, with a minimal delay between the indexing of the item in Elastic Search and its being updated into Neo4j.

            (Also it's important to have administrative work kept low: I'd just want to update a cypher statement to define the mapping between the index documents and the graph, for example, so that once I've created an index, it's limited work to have its data added to Neo4j).

            Is it possible to do this using Elastic search watchers and triggers? Or by some other means?

            I'm aware of the APOC library's Elastic Search functions in Neo4j, but I'd rather push from Elastic Search on update than pull from Neo4j. GraphAware also have an extension, but it seems aimed mostly at the Neo4j to ES direction.

            ...

            ANSWER

            Answered 2020-Jul-03 at 19:04

            ElasticSearch triggers can post a HTTP request and Neo4j has a HTTP Api, so that seems doable: https://neo4j.com/docs/http-api/current/

            If I were to do this in production I would probably develop a microservice that listens to the webhooks and stores the data into Neo4j. This way you can introduce retry policy as well as log errors if nothing else.

            After doing a bit of research you could configure the ElasticSearch to push updates to Kafka with tools such as https://github.com/malike/elasticsearch-kafka-watch, and then ingest the data with the Neo4j Kafka Sink.

            Source https://stackoverflow.com/questions/62718108

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

            Vulnerabilities

            No vulnerabilities reported

            Install neo4j-to-elasticsearch

            You can download it from GitHub, Maven.
            You can use neo4j-to-elasticsearch like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the neo4j-to-elasticsearch component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

            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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          • HTTPS

            https://github.com/graphaware/neo4j-to-elasticsearch.git

          • CLI

            gh repo clone graphaware/neo4j-to-elasticsearch

          • sshUrl

            git@github.com:graphaware/neo4j-to-elasticsearch.git

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