Thanks for all the help on this. I'm coming closer to a solution
thanks to you all.
Question - I've been using GraphTraversalSource to do all the
adding vertices and edges to my graph. Example:
GraphTraversalSource traversal =
JanusGraph.tx().createThreadedTx().traversal();
Is it better to use JanusGraph.tx().createdThreadedTx() directly?
-Joe
On 6/17/2022 3:03 PM, Boxuan Li wrote:
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Yeah using `newTransaction()` won't make
a difference in your use case. Based on your input, there are
a couple of things you could try:
- As suggested by Kevin, you could use
locking. See https://docs.janusgraph.org/advanced-topics/eventual-consistency/#data-consistency.
It is slow but it will hopefully solve most race
conditions you have. Based on my understanding of
Cassandra's nature, I think you could still see such
inconsistencies but the chance is much lower for sure.
- You could periodically identify and remove the
inconsistencies using an offline pipeline.
- You could use an external locking service on client side.
For example, using Redis to make sure a conflicting
transaction won't start at the first place.
These solutions have their own pros & cons, so it
really depends on you.
Best,
Boxuan
So - unsurprisingly, Boxuan is correct.
Code like this:
GraphTraversalSource traversal =
StaticInfo.getGraph().newTransaction().traversal();
try {
datasourceVertex =
traversal.V().has("someID", id).next();
} catch (java.util.NoSuchElementException nse)
{
datasourceVertex =
traversal.addV("source").property("someID", id).next();
}
being called from multiple threads results in several
vertices with the same 'someID'.
Not sure how to fix this.
-Joe
On 6/17/2022 10:28 AM, Joe
Obernberger via lists.lfaidata.foundation wrote:
Good stuff - thank you Boxuan.
Backend is Cassandra running on bare metal on 15 nodes.
Race condition is rare.
When the race condition happens, I'm seeing duplicate
nodes/edges; basically the graph becomes invalid.
Yes. This is a good idea. I could write a spark job to
examine the graph and fix up discrepancies. Smart.
Not sure what a locking services is? Example?
My current plan (not tested yet) is to use a static class
that contains the JanusGraph 'graph'. On Quarkus when a
REST call comes in, a new thread is created. That thread
will use Marc's idea of
GraphTraversalSource traversal =
StaticInfo.getGraph().newTransaction().traversal();
Do stuff and then traversal.tx().commit();
That will be done in a loop so that if the commit fails, it
will retry X times.
At least that's my current plan. Not sure if it will work.
-Joe
On 6/17/2022 8:52 AM, Boxuan Li
wrote:
Hi Joe,
Unfortunately the way Marc suggests
won’t help with your usecase. Tbh I would have
suggested the same answer as Marc before I saw your
second post. If one has one JVM thread handling
multiple transactions (not familiar with quarkus so
not sure if that is possible), then one has to do
what Marc suggested. But in your usecase, it won't
be any different from your current usage because
JanusGraph will automatically create threaded
transaction for each thread (using ThreadLocal) when
you use the traversal object.
The real issue in your use case is that
you want ACID support, which really depends on your
backend storage. At least in our officially
supported Cassandra, HBase, and BigTable adapters,
this is not (yet) supported.
There are a few workarounds, though. Before discussing
that further, I would like to ask a few questions:
- What is your backend storage and is it
distributed?
- How often does this “race condition”
happen? Is it very rare or it’s fairly common?
- What is your end goal? Do you want to reduce the
chance of this “race condition”, or you want to
make sure this does not happen at all?
- Are you willing to resolve such duplicate
vertices/edges at either read time or offline?
- Are you willing to introduce a third dependency,
e.g. a distributed locking service?
Best,
Boxuan
Thank you Marc. I'm currently doing everything with a
traversal, and then doing a traversal.tx().commit()
Sounds like what you suggested is what I want, but just
to be clear:
Here's what I'm trying to do.
Thread 1/JVM1 gets a request that requires adding new
vertices and edges to the graph.
Thread 2/JVM1 gets a similar request.
Some of the vertices added in Thread 1 end up having the
same attributes/name has vertices from Thread 2, but I
only want to have one vertex if it's going to have the
same attributes.
If Thread 1 adds that vertex before it does a commit,
then Thread 2, when it looks up said vertex won't find
it; so it will also add it.
Code example (traversal is a GraphTraversalSource
gotten from JanusGraphFactory.traversal())
try {
correlationVertex =
traversal.V().has("correlationID",
correlationID).next();
} catch (java.util.NoSuchElementException nse) {
correlationVertex = null;
}
.
.
.
if (correlationVertex == null) {
correlationVertex =
traversal.addV("correlation").property("correlationID",
correlationID).next();
correlationVertex.property("a", blah1);
correlationVertex.property("b", blah2);
}
I do similar things with edges:
try {
dataSourceToCorrelationEdge =
traversal.E().has("edgeID", edgeID).next();
} catch (NoSuchElementException nse) {
dataSourceToCorrelationEdge = null;
}
Ultimately, I'd like to have several JVMs handling
these requests; each which runs multiple threads.
I'll look at using a new transaction per call. Thank
you!
-Joe
Hi Joe,
Do you mean with threadsafe transactions that requests
from different client threads should be handled
independently, that is in different JanusGraph
Transactions?
In that case, I think you want to use a
GraphTraversalSource per request like this:
g = graph.newTransaction().traversal()
Best wishes, Marc
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