tinkerpop3 | Blazegraph Tinkerpop3 Implementation
kandi X-RAY | tinkerpop3 Summary
kandi X-RAY | tinkerpop3 Summary
It’s important to understand how Blazegraph organizes property graph data as RDF. Blazegraph uses the RDF* framework, which is an extension to RDF that provides for an easier RDF reification syntax. Reification is a means of using an RDF statement as an RDF value in other statements. The RDF* syntax for an RDF "statement as a value" is as follows:. Blazegraph uses the OpenRDF SAIL API and represents RDF* reified statements as bnodes in that API. This is important for understanding how to write SPARQL queries against TP3 graphs and how to interpret query results. Property graph values must be converted into RDF values and vice versa. Blazegraph provides a BlazeValueFactory interface with a default implementation. You can extend this interface and provide your own value factory if you prefer a custom look for the RDF values in your property graph. Blazegraph accepts user-supplied IDs (strings only) for vertices and edges. If no id is supplied a UUID will be generated. By default, TP3 ids and property keys are converted into URIs by prepending a namespace prefix. Property values are simply converted into datatyped literals. Two fixed URIs are used and provided by the BlazeValueFactory to represent element labels (rdf:type by default) and property values for Cardinality.list vertex properties (rdf:value by default). These can also be overriden as desired.
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Top functions reviewed by kandi - BETA
- Execute the query
- Clean up the given query
- Determines the identifier of the given query
- Determines if a query is cancelled
- Finalize query
- Logs a message at the given level
- Initialize the query
- Adds a new vertex
- Returns a list of URIs for the given element ids
- Create a query string for vertices
- Lookup vertices by IDs
- Perform a SELECT query
- Project the given query
- Execute a update
- Closes this repository
- Returns the value represented by this IV
- Converts the supplied value to a VackedLongExtensionIV
tinkerpop3 Key Features
tinkerpop3 Examples and Code Snippets
Community Discussions
Trending Discussions on tinkerpop3
QUESTION
I'm trying to learn a bit about graph languages and the query language Gremlin. This is from the docs:
Amazon Neptune is compatible with Apache TinkerPop3 and Gremlin 3.4.1. This means that you can connect to a Neptune DB instance and use the Gremlin traversal language to query the graph (see The Graph in the Apache TinkerPop3 documentation).
Aren't neptune and tinkerpop 2 competing graph databases? What does it mean for one database to be compatible with another?
Also curious...why would apache release it's query language Gremlin for use on other databases? What's the idea behind that?
EDITOh I see, tinkerpop is some kind of graph framework that is compatible with neptune.... whatever that means.
...ANSWER
Answered 2019-Aug-14 at 19:36Apache Tinkerpop is a framework and it defines a graph query language named Gremlin. Vendors and developers can build their own graph databases by implementing the data model defined in Tinkerpop, there by making them Tinkerpop (and Gremlin) compatible. Read more in their offical docs[1].
Tinkerpop also provides a light weight implementation of their framework known as Tinkergraph, which is nothing but an in-memory implementation of the TP stack. If a vendor is tinker pop compatible, a customer should be able to use either Tinkergraph or the vendor's DB and get the same experience. Amazon Neptune has some documented differences with the TP spec though. Those are called out in the docs[2].
Hope this helps.
[1] http://tinkerpop.apache.org/providers.html
[2] https://docs.aws.amazon.com/neptune/latest/userguide/access-graph-gremlin-differences.html
QUESTION
I have an array of usernames (eg. ['abc','def','ghi']
) to be added under 'user' label in the graph.
Now I first want to check if the username already exists (g.V().hasLabel('user').has('username','def')
) and then add only those for which the username property doesn't match under 'user' label.
Also, can this be done in a single gremlin query or groovy script?
I am using titan graph database, tinkerpop3 and gremlin REST server.
...ANSWER
Answered 2019-Jun-05 at 15:58With "scripts" you can always pass a multi-line/command script to the server for processing to get what you want done. This question is then answered with normal programming techniques using variables, if/then statements, etc:
QUESTION
I use TinkerGraph
for integration tests (extended unit tests) in Java. In this implementation Edge ids
are generated as a sequence of Integers. I want to change that so they are generated as random UUIDs. The reason for this is to get my test setup behave closer to my production graph database. Can I do this in Tinkerpop3
and if so how?
I have found that in Tinkerpop/blueprints (https://github.com/tinkerpop/blueprints/wiki/id-implementation) there existed an IdGraph.IdFactory
which seemingly would provide what I need. However as I understand it that is not available for Tinkerpop3.
ANSWER
Answered 2018-Nov-28 at 09:33This looks to be possible but will require some work. Vertex
and Edge Ids
in TinkerGraph
are determined using IDManagers
which is done here.
You can see that this is decided via a config value which ends up using reflection to construct the IDManager
.
So you would have to do the following:
Create your own
IDManager
by implementing the interface you can use the default manager as a guideline. For example:
QUESTION
About to start using ScyllaDB with JanusGraph, and Tinperpop3.
For now, I'll work with <200 gb data, so I want to do everything on my own (xeon based) computer.
My question is mostly: are some versions incompatible with each other?
For ScyllaDB I'd probably go with: https://www.scylladb.com/download/debian9/
But JanusGraph does not list ScyllaDB as (tested and) compatible, although I've read on several places this can be used https://github.com/JanusGraph/janusgraph/releases/tag/v0.2.2
And for Tinkerpop3, I'd go with their latest version 3.3.4 http://tinkerpop.apache.org/docs/current/reference/
...ANSWER
Answered 2018-Oct-27 at 13:58The most up-to-date version of JanusGraph is 0.3.1 which packages Apache TinkerPop 3.3.3. You do not need to download TinkerPop separately. https://github.com/JanusGraph/janusgraph/releases/tag/v0.3.1
From a JanusGraph perspective, ScyllaDB is a drop-in replacement for Cassandra. You configure your graph properties in the same way using storage.backend=cql
, but just point it at your ScyllaDB server instead. Keep in mind if you're using the pre-packaged JanusGraph distribution, you need to shutdown Cassandra before starting ScyllaDB to avoid port conflicts.
QUESTION
I'm trying to do pagination in Gremlin. I've followed the solution provided on gremlin recipes. So right now I am using the range()
step to truncate results. This works well because when users asks for x results id only queries for x of them and doesn't perform full search which is significantly faster.
However in Gremlin docs it states that:
A Traversal’s result are never ordered unless explicitly by means of order()-step. Thus, never rely on the iteration order between TinkerPop3 releases and even within a release (as traversal optimizations may alter the flow).
And order is really important for pagination (we don't want user to have same results on different pages).
Adding order()
would really slow down querying, since it will have to query all vertices that apply to the search and then truncate it with range()
.
Any ideas how this can be solved to have consistency between queries and still have smaller query time for not-full search?
...ANSWER
Answered 2018-Oct-10 at 21:31The documentation is correct, but could use some additional context. Without order()
you aren't guaranteed a specific order, unless the underlying graph database guarantees that order. TinkerPop should preserve that guarantee if it exists. So, ultimately you need to consider what the underlying graph will do.
As you are using JanusGraph, I'm pretty sure that it does not guarantee order of result iteration but there are caveats depending on the type of indexing that you do. You can read more about that here but may want to ask specific questions on the JanusGraph user list.
QUESTION
im working with the Apache gremlin graph and TinkerPop3. There are two nodes
...ANSWER
Answered 2018-Sep-10 at 15:10I would use project()
in this case:
QUESTION
I start my Gremlin NEO4J like this
...ANSWER
Answered 2018-Jun-24 at 05:26what I understood to see the configurations that you are using a very old version of orientdb
use orientdb-gremlin 3.0.2
in the latest version they embedded gremlin with orientdb and for download dependencies use this ./gremlin-server.sh -i com.orientechnologies orientdb-gremlin 3.0.2
based on more information from OP, added
QUESTION
I am using TinkerPop3 in Java and I have a weighted multi-graph on which I would like to run Dijkstra algorithm to find Shortest Weighted Path between two vertices. I have found in other questions that the recommended way to do this is by using JUNG with TinkerPop, but they are related to TinkerPop2, which had the JungGraph as part of blueprints.
My questions is whether there is any efficient way to use JUNG on Tinkerpop3 graphs, as the only way I have found for now is to create a new JUNG graph and iteratively add all edges from my TinkerPop3 graph to it. Any alternative suggestions to JUNG are also welcomed.
...ANSWER
Answered 2018-Jun-22 at 15:45I am neither familiar with TinkerPop nor with its data model. In general you have two basic ways to provide an instance of B given an instance of A, given that B and A are reasonably compatible:
- copy: create an instance of B, iterate over the elements of A and copy them into B (this is your current solution)
- view: create a class that redirects calls to the methods of A to the appropriate methods for B. You can do this by implementing the appropriate interface (or extending the appropriate (abstract) class).
Assuming you're using JUNG 2.x, you could extend the Abstract[Typed]Graph
class. You may find it useful to look at the GraphDecorator class to see an example of this sort of delegation (in that case the class being delegated to is an instance of Graph
, but it should be straightforward to adapt the model to delegate to TinkerPop
if that model has appropriate methods).
Note: the JUNG data model used in v2.x is being replaced with the Guava common.graph data model in JUNG v3.x. The same basic ideas apply, however.
QUESTION
I'm relatively new to Gremlin, and the company I'm with is looking to implement a graph database with some temporary edges within it. Each vertex could have 1 or more edge, and each edge would have a property on it that is essentially isTemporary true/false.
When traversing the graph, if "isTemporary" = true we should follow that edge, otherwise we should follow the edge where "isTemporary" = false.
I.e.,
A-[isTemporary:true, value 1] -> B
A-[isTemporary:false, value 2] -> C
B-[isTemporary: false, value 3] -> D
Running a single gremlin query should return A->B->D in this case.
I've looked through TinkerPop3 documentation, and it seems like "choose" may be what I want to use here, but all the examples seem to return a value, when what I want is a traversal to come back so I can repeatedly act on the traversal.
Any help would be appreciated.
...ANSWER
Answered 2018-May-28 at 06:35You could be looking for the coalesce
step.
Considering this graph:
QUESTION
I'm very new to Gremlin. I have been going through the documentation but continue to struggle to find an answer to my problem. I'm assuming the answer is easy, but have unfortunately become a little confused with all the different API options e.g. subgraphs, side effects and would like a little help/clarity from the expert group if possible.
Basically (as an example) I have a graph that looks like the below where I first need to select 'A' and then traverse down the children of 'A' only, to find if there is Vertex that matches 'A3' or 'A4'.
Selecting the first Vertex of course is easy, I simply do something like:
...ANSWER
Answered 2018-Apr-18 at 13:57When you start your traversal with: g.V().has('name','A')
you get the "A" vertex. Any additional steps that you add after that are restricted to that one vertex. Therefore g.V().has('name','A').out()
can only ever give you the "A1" vertex and related children.
To traverse through all the children of "A", you need repeat()
step:
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