TinkerPop Upgrade Information
This document helps users of TinkerPop to understand the changes that come with each software release. It outlines new features, how to resolve breaking changes and other information specific to a release. This document is useful to end-users who are building applications on TinkerPop, but it is equally useful to TinkerPop providers, who build libraries and other systems on the the core APIs and protocols that TinkerPop exposes.
These providers include:
-
Graph System Provider
-
Graph Database Provider
-
Graph Processor Provider
-
-
Graph Driver Provider
-
Graph Language Provider
-
Graph Plugin Provider
TinkerPop 3.2.0
Nine Inch Gremlins
TinkerPop 3.2.0
Release Date: Release Date: April 8, 2016
Please see the changelog for a complete list of all the modifications that are part of this release.
Upgrading for Users
Hadoop FileSystem Variable
The HadoopGremlinPlugin
defines two variables: hdfs
and fs
. The first is a reference to the HDFS FileSystemStorage
and the latter is a reference to the the local FileSystemStorage
. Prior to 3.2.x, fs
was called local
. However,
there was a variable name conflict with Scope.local
. As such local
is now fs
. This issue existed prior to 3.2.x,
but was not realized until this release. Finally, this only effects Gremlin Console users.
Hadoop Configurations
Note that gremlin.hadoop.graphInputFormat
, gremlin.hadoop.graphOutputFormat
, gremlin.spark.graphInputRDD
, and
gremlin.spark.graphOuputRDD
have all been deprecated. Using them still works, but moving forward, users only need to
leverage gremlin.hadoop.graphReader
and gremlin.hadoop.graphWriter
. An example properties file snippet is provided
below.
gremlin.graph=org.apache.tinkerpop.gremlin.hadoop.structure.HadoopGraph
gremlin.hadoop.graphReader=org.apache.tinkerpop.gremlin.hadoop.structure.io.gryo.GryoInputFormat
gremlin.hadoop.graphWriter=org.apache.tinkerpop.gremlin.hadoop.structure.io.gryo.GryoOutputFormat
gremlin.hadoop.jarsInDistributedCache=true
gremlin.hadoop.defaultGraphComputer=org.apache.tinkerpop.gremlin.spark.process.computer.SparkGraphComputer
See: TINKERPOP-1082, TINKERPOP-1222
TraversalSideEffects Update
There were changes to TraversalSideEffect
both at the semantic level and at the API level. Users that have traversals
of the form sideEffect{...}
that leverage global side-effects should read the following carefully. If the user’s traversals do
not use lambda-based side-effect steps (e.g. groupCount("m")
), then the changes below will not effect them. Moreover, if user’s
traversal only uses sideEffect{...}
with closure (non-TraversalSideEffect
) data references, then the changes below will not effect them.
If the user’s traversal uses sideEffects in OLTP only, the changes below will not effect them. Finally, providers should not be
effected by the changes save any tests cases.
TraversalSideEffects Get API Change
TraversalSideEffects
can now logically operate within a distributed OLAP environment. In order to make this possible,
it is necessary that each side-effect be registered with a reducing BinaryOperator
. This binary operator will combine
distributed updates into a single global side-effect at the master traversal. Many of the methods in TraversalSideEffect
have been Deprecated
, but they are backwards compatible save that TraversalSideEffects.get()
no longer returns an Optional
,
but instead throws an IllegalArgumentException
. While the Optional
semantics could have remained, it was deemed best to
directly return the side-effect value to reduce object creation costs and because all side-effects must be registered apriori,
there is never a reason why an unknown side-effect key would be used. In short:
// change
traversal.getSideEffects().get("m").get()
// to
traversal.getSideEffects().get("m")
TraversalSideEffects Registration Requirement
All TraversalSideEffects
must be registered upfront. This is because, in OLAP, side-effects map to Memory
compute keys
and as such, must be declared prior to the execution of the TraversalVertexProgram
. If a user’s traversal creates a
side-effect mid-traversal, it will fail. The traversal must use GraphTraversalSource.withSideEffect()
to declare
the side-effects it will use during its execution lifetime. If the user’s traversals use standard side-effect Gremlin
steps (e.g. group("m")
), then no changes are required.
See: TINKERPOP-1192
TraversalSideEffects Add Requirement
In a distributed environment, a side-effect can not be mutated and be expected to exist in the mutated form at the final,
aggregated, master traversal. For instance, if the side-effect "myCount" references a Long
, the Long
can not be updated
directly via sideEffects.set("myCount", sideEffects.get("myCount") + 1)
. Instead, it must rely on the registered reducer
to do the merging and thus, the Step
must do sideEffect.add("mySet",1)
, where the registered reducer is Operator.sum
.
Thus, the below will increment "a". If no operator was provided, then the operator is assumed Operator.assign
and the
final result of "a" would be 1. Note that Traverser.sideEffects(key,value)
uses TraversalSideEffect.add()
.
gremlin> traversal = g.withSideEffect('a',0,sum).V().out().sideEffect{it.sideEffects('a',1)}
==>v[3]
==>v[2]
==>v[4]
==>v[5]
==>v[3]
==>v[3]
gremlin> traversal.getSideEffects().get('a')
==>6
gremlin> traversal = g.withSideEffect('a',0).V().out().sideEffect{it.sideEffects('a',1)}
==>v[3]
==>v[2]
==>v[4]
==>v[5]
==>v[3]
==>v[3]
gremlin> traversal.getSideEffects().get('a')
==>1
See: TINKERPOP-1192, TINKERPOP-1166
ProfileStep Update and GraphTraversal API Change
The profile()
-step has been refactored into 2 steps — ProfileStep
and ProfileSideEffectStep
. Users who previously
used the profile()
in conjunction with cap(TraversalMetrics.METRICS_KEY)
can now simply omit the cap step. Users who
retrieved TraversalMetrics
from the side-effects after iteration can still do so, but will need to specify a side-effect
key when using the profile()
. For example, profile("myMetrics")
.
See: TINKERPOP-958
BranchStep Bug Fix
There was a bug in BranchStep
that also rears itself in subclass steps such as UnionStep
and ChooseStep
.
For traversals with branches that have barriers (e.g. count()
, max()
, groupCount()
, etc.), the traversal needs to be updated.
For instance, if a traversal is of the form g.V().union(out().count(),both().count())
, the result is now different
(the bug fix yields a different output). In order to yield the same result, the traversal should be rewritten as
g.V().local(union(out().count(),both().count()))
. Note that if a branch does not have a barrier, then no changes are required.
For instance, g.V().union(out(),both())
does not need to be updated. Moreover, if the user’s traversal already used
the local()
-form, then no change are required either.
See: TINKERPOP-1188
MemoryComputeKey and VertexComputeKey
Users that have custom VertexProgram
implementations will need to change their implementations to support the new
VertexComputeKey
and MemoryComputeKey
classes. In the VertexPrograms
provided by TinkerPop, these changes were trivial,
taking less than 5 minutes to make all the requisite updates.
-
VertexProgram.getVertexComputeKeys()
returns aSet<VertexComputeKey>
. No longer aSet<String>
. UseVertexComputeKey.of(String key,boolean transient)
to generate aVertexComputeKey
. Transient keys were not supported in the past, so to make the implementation semantically equivalent, the boolean transient should be false. -
VertexProgram.getMemoryComputeKeys()
returns aSet<MemoryComputeKey>
. No longer aSet<String>
. UseMemoryComputeKey.of(String key, BinaryOperator reducer, boolean broadcast, boolean transient)
to generate aMemoryComputeKey
. Broadcasting and transients were not supported in the past so to make the implementation semantically equivalent, the boolean broadcast should be true and the boolean transient should be false.
An example migration looks as follows. What might currently look like:
public Set<String> getMemoryComputeKeys() {
return new HashSet<>(Arrays.asList("a","b","c"))
}
Should now look like:
public Set<MemoryComputeKey> getMemoryComputeKeys() {
return new HashSet<>(Arrays.asList(
MemoryComputeKey.of("a", Operator.and, true, false),
MemoryComputeKey.of("b", Operator.sum, true, false),
MemoryComputeKey.of("c", Operator.or, true, false)))
}
A similar patterns should also be used for VertexProgram.getVertexComputeKeys()
.
See: TINKERPOP-1162
SparkGraphComputer and GiraphGraphComputer Persistence
The MapReduce
-based steps in TraversalVertexProgram
have been removed and replaced using a new Memory
-reduction model.
MapReduce
jobs always created a persistence footprint, e.g. in HDFS. Memory
data was never persisted to HDFS.
As such, there will be no data on the disk that is accessible. For instance, there is no more ~reducing
, ~traversers
,
and specially named side-effects such as m
from a groupCount('m')
. The data is still accessible via ComputerResult.memory()
,
it simply does not have a corresponding on-disk representation.
RemoteGraph
RemoteGraph
is a lightweight Graph
implementation that acts as a proxy for sending traversals to Gremlin Server for
remote execution. It is an interesting alternative to the other methods for connecting to Gremlin Server in that all
other methods involved construction of a String
representation of the Traversal
which is then submitted as a script
to Gremlin Server (via driver or REST).
gremlin> graph = RemoteGraph.open('conf/remote-graph.properties')
==>remotegraph[DriverServerConnection-localhost/127.0.0.1:8182 [graph='graph]]
gremlin> g = graph.traversal()
==>graphtraversalsource[remotegraph[DriverServerConnection-localhost/127.0.0.1:8182 [graph='graph]], standard]
gremlin> g.V().valueMap(true)
==>[name:[marko], label:person, id:1, age:[29]]
==>[name:[vadas], label:person, id:2, age:[27]]
==>[name:[lop], label:software, id:3, lang:[java]]
==>[name:[josh], label:person, id:4, age:[32]]
==>[name:[ripple], label:software, id:5, lang:[java]]
==>[name:[peter], label:person, id:6, age:[35]]
Note that g.V().valueMap(true)
is executing in Gremlin Server and not locally in the console.
Upgrading for Providers
Graph System Providers
GraphStep Compilation Requirement
OLTP graph providers that have a custom GraphStep
implementation should ensure that g.V().hasId(x)
and g.V(x)
compile
to the same representation. This ensures a consistent user experience around random access of elements based on ids
(as opposed to potentially the former doing a linear scan). A static helper method called GraphStep.processHasContainerIds()
has been added. TinkerGraphStepStrategy
was updated as such:
((HasContainerHolder) currentStep).getHasContainers().forEach(tinkerGraphStep::addHasContainer);
is now
((HasContainerHolder) currentStep).getHasContainers().forEach(hasContainer -> {
if (!GraphStep.processHasContainerIds(tinkerGraphStep, hasContainer))
tinkerGraphStep.addHasContainer(hasContainer);
});
See: TINKERPOP-1219
Step API Update
The Step
interface is fundamental to Gremlin. Step.processNextStart()
and Step.next()
both returned Traverser<E>
.
We had so many Traverser.asAdmin()
and direct typecast calls throughout (especially in TraversalVertexProgram
) that
it was deemed prudent to have Step.processNextStart()
and Step.next()
return Traverser.Admin<E>
. Moreover it makes
sense as this is internal logic where Admins
are always needed. Providers with their own step definitions will simply
need to change the method signatures of Step.processNextStart()
and Step.next()
. No logic update is required — save
that asAdmin()
can be safely removed if used. Also, Step.addStart()
and Step.addStarts()
take Traverser.Admin<S>
and Iterator<Traverser.Admin<S>>
, respectively.
Traversal API Update
The way in which TraverserRequirements
are calculated has been changed (for the better). The ramification is that post
compilation requirement additions no longer make sense and should not be allowed. To enforce this,
Traversal.addTraverserRequirement()
method has been removed from the interface. Moreover, providers/users should never be able
to add requirements manually (this should all be inferred from the end compilation). However, if need be, there is always
RequirementStrategy
which will allow the provider to add a requirement at strategy application time
(though again, there should not be a reason to do so).
ComparatorHolder API Change
Providers that either have their own ComparatorHolder
implementation or reason on OrderXXXStep
will need to update their code.
ComparatorHolder
now returns List<Pair<Traversal,Comparator>>
. This has greatly reduced the complexity of comparison-based
steps like OrderXXXStep
. However, its a breaking API change that is trivial to update to, just some awareness is required.
See: TINKERPOP-1209
GraphComputer Semantics and API
Providers that have a custom GraphComputer
implementation will have a lot to handle. Note that if the graph system
simply uses SparkGraphComputer
or GiraphGraphComputer
provided by TinkerPop, then no updates are required. This
only effects providers that have their own custom GraphComputer
implementations.
Memory
updates:
-
Any
BinaryOperator
can be used for reduction and is made explicit in theMemoryComputeKey
. -
MemoryComputeKeys
can be marked transient and must be removed from the resultantComputerResult.memory()
. -
MemoryComputeKeys
can be specified to not broadcast and thus, must not be available to workers to read inVertexProgram.execute()
. -
The
Memory
API has been changed. No moreincr()
,and()
, etc. Now its justset()
(setup/terminate) andadd()
(execute).
VertexProgram
updates:
-
VertexComputeKeys
can be marked transient and must be removed from the resultantComputerResult.graph()
.
Operational semantic test cases have been added to GraphComputerTest
to ensure that all the above are implemented correctly.
Barrier Step Updates
The Barrier
interface use to simply be a marker interface. Now it has methods and it is the primary means by which
distributed steps across an OLAP job are aggregated and distributed. It is unlikely that Barrier
was ever used
directly by a provider’s custom step. Instead, a provider most likely extended SupplyingBarrierStep
, CollectingBarrierStep
,
and/or ReducingBarrierStep
.
Providers that have custom extensions to these steps or that use Barrier
directly will need to adjust their implementation slightly to
accommodate a new API that reflects the Memory
updates above. This should be a simple change. Note that FinalGet
no longer exists and such post-reduction processing is handled by the reducing step (via the new Generating
interface).
See: TINKERPOP-1164
Performance Tests
The ProcessPerformanceSuite
and TraversalPerformanceTest
have been deprecated. They are still available, but going forward,
providers should implement their own performance tests and not rely on the built-in JUnit benchmark-based performance test suit.
Graph Processor Providers
GraphFilter and GraphComputer
The GraphComputer
API has changed with the addition of GraphComputer.vertices(Traversal)
and GraphComputer.edges(Traversal)
.
These methods construct a GraphFilter
object which is also new to TinkerPop 3.2.0. GraphFilter
is a "push-down predicate"
used to selectively retrieve subgraphs of the underlying graph to be OLAP processed.
-
If the graph system provider relies on an existing
GraphComputer
implementations such asSparkGraphComputer
and/orGiraphGraphComputer
, then there is no immediate action required on their part to remain TinkerPop-compliant. However, they may wish to update theirInputFormat
orInputRDD
implementation to beGraphFilterAware
and handle theGraphFilter
filtering at the disk/database level. It is advisable to do so in order to reduce OLAP load times and memory/GC usage. -
If the graph system provider has their own
GraphComputer
implementation, then they should implement the two new methods and ensure thatGraphFilter
is processed correctly. There is a new test case calledGraphComputerTest.shouldSupportGraphFilter()
which ensures the semantics ofGraphFilter
are handled correctly. For a "quick and easy" way to move forward, look toGraphFilterInputFormat
as a way of wrapping an existingInputFormat
to do filtering prior toVertexProgram
orMapReduce
execution.
Note
|
To quickly move forward, the GraphComputer implementation can simply set GraphComputer.Features.supportsGraphFilter()
to false and ensure that GraphComputer.vertices() and GraphComputer.edges() throws GraphComputer.Exceptions.graphFilterNotSupported() .
This is not recommended as its best to support GraphFilter .
|
See: TINKERPOP-962
Job Chaining and GraphComputer
TinkerPop 3.2.0 has integrated VertexPrograms
into GraphTraversal
. This means, that a single traversal can compile to multiple
GraphComputer
OLAP jobs. This requires that ComputeResults
be chainable. There was never any explicit tests to verify if a
provider’s GraphComputer
could be chained, but now there are. Given a reasonable implementation, it is likely that no changes
are required of the provider. However, to ensure the implementation is "reasonable" GraphComputerTests
have been added.
-
For providers that support their own
GraphComputer
implementation, note that there is a newGraphComputerTest.shouldSupportJobChaining()
. This tests verifies that theComputerResult
output of one job can be fed into the input of a subsequent job. Only linear chains are tested/required currently. In the future, branching DAGs may be required. -
For providers that support their own
GraphComputer
implementation, note that there is a newGraphComputerTest.shouldSupportPreExistingComputeKeys()
. When chaining OLAP jobs together, if an OLAP job requires the compute keys of a previous OLAP job, then the existing compute keys must be accessible. A simple 2 line change toSparkGraphComputer
andTinkerGraphComputer
solved this for TinkerPop.GiraphGraphComputer
did not need an update as this feature was already naturally supported.
See: TINKERPOP-570
Graph Language Providers
ScriptTraversal
Providers that have custom Gremlin language implementations (e.g. Gremlin-Scala), there is a new class called ScriptTraversal
which will handle script-based processing of traversals. The entire GroovyXXXTest
-suite was updated to use this new class.
The previous TraversalScriptHelper
class has been deprecated so immediate upgrading is not required, but do look into
ScriptTraversal
as TinkerPop will be using it as a way to serialize "String-based traversals" over the network moving forward.
See: TINKERPOP-1154
ByModulating and Custom Steps
If the provider has custom steps that leverage by()
-modulation, those will now need to implement ByModulating
.
Most of the methods in ByModulating
are default
and, for most situations, only ByModulating.modulateBy(Traversal)
needs to be implemented. Note that this method’s body will most like be identical the custom step’s already existing
TraversalParent.addLocalChild()
. It is recommended that the custom step not use TraversalParent.addLocalChild()
as this method may be deprecated in a future release. Instead, barring any complex usages, simply rename the
CustomStep.addLocalChild(Traversal)
to CustomStep.modulateBy(Traversal)
.
See: TINKERPOP-1153
TraversalEngine Deprecation and GraphProvider
The TraversalSource
infrastructure has been completely rewritten. Fortunately for users, their code is backwards compatible.
Unfortunately for graph system providers, a few tweaks to their implementation are in order.
-
If the graph system supports more than
Graph.compute()
, then implementGraphProvider.getGraphComputer()
. -
For custom
TraversalStrategy
implementations, changetraverser.getEngine().isGraphComputer()
toTraversalHelper.onGraphComputer(Traversal)
. -
For custom
Steps
, changeimplements EngineDependent
toimplements GraphComputing
.
See: TINKERPOP-971
TinkerPop 3.1.0
A 187 On The Undercover Gremlinz
TinkerPop 3.1.2
Release Date: April 8, 2016
Please see the changelog for a complete list of all the modifications that are part of this release.
Upgrading for Users
Aliasing Sessions
Calls to SessionedClient.alias()
used to throw UnsupportedOperationException
and it was therefore not possible to
use that capability with a session. That method is now properly implemented and aliasing is allowed.
See: TINKERPOP-1096
Remote Console
The :remote console
command provides a way to avoid having to prefix the :>
command to scripts when remoting. This
mode of console usage can be convenient when working exclusively with a remote like Gremlin Server and there is only a
desire to view the returned data and not to actually work with it locally in any way.
Console Remote Sessions
The :remote tinkerpop.server
command now allows for a "session" argument to be passed to connect
. This argument,
tells the remote to configure it with a Gremlin Server session. In this way, the console can act as a window to script
exception on the server and behave more like a standard "local" console when it comes to script execution.
See: TINKERPOP-1097
TinkerPop Archetypes
TinkerPop now offers Maven archetypes, which provide example project templates to quickly get started with TinkerPop. The available archetypes are as follows:
-
gremlin-archetype-server
- An example project that demonstrates the basic structure of a Gremlin Server project, how to connect with the Gremlin Driver, and how to embed Gremlin Server in a testing framework. -
gremlin-archetype-tinkergraph
- A basic example of how to structure a TinkerPop project with Maven.
Session Transaction Management
When connecting to a session with gremlin-driver
, it is now possible to configure the Client
instance so as to
request that the server manage the transaction for each requests.
Cluster cluster = Cluster.open();
Client client = cluster.connect("sessionName", true);
Specifying true
to the connect()
method signifies that the client
should make each request as one encapsulated
in a transaction. With this configuration of client
there is no need to close a transaction manually.
Session Timeout Setting
The gremlin-driver
now has a setting called maxWaitForSessionClose
that allows control of how long it will wait for
an in-session connection to respond to a close request before it simply times-out and moves on. When that happens,
the server will either eventually close the connection via at session expiration or at the time of shutdown.
See: TINKERPOP-1160
Upgrading for Providers
Important
|
It is recommended that providers also review all the upgrade instructions specified for users. Many of the changes there may prove important for the provider’s implementation. |
All Providers
Provider Documentation
Documentation related to the lower-level APIs used by a provider, that was formerly in the reference documentation, has been moved to its own documentation set that is now referred to as the Provider Documentation.
See: TINKERPOP-937
Graph System Providers
GraphProvider.clear() Semantics
The semantics of the various clear()
methods on GraphProvider
didn’t really change, but it would be worth reviewing
their implementations to ensure that implementations can be called successfully in an idempotent fashion. Multiple
calls to clear()
may occur for a single test on the same Graph
instance, as 3.1.1-incubating
introduced an
automated method for clearing graphs at the end of a test and some tests call clear()
manually.
See: TINKERPOP-1146
Driver Providers
Session Transaction Management
Up until now transaction management has been a feature of sessionless requests only, but the new manageTransaction
request argument for the Session OpProcessor
changes that. Session-based requests can now pass this boolean value on each request to signal to
Gremlin Server that it should attempt to commit (or rollback) the transaction at the end of the request. By default,
this value as false
, so there is no change to the protocol for this feature.
scriptEvalTimeout Override
The Gremlin Server protocol now allows the passing of scriptEvaluationTimeout
as an argument to the SessionOpProcessor
and the StandardOpProcessor
. This value will override the setting of the same name provided in the Gremlin Server
configuration file on a per request basis.
Plugin Providers
RemoteAcceptor allowRemoteConsole
The RemoteAcceptor
now has a new method called allowRemoteConsole()
. It has a default implementation that
returns false
and should thus be a non-breaking change for current implementations. This value should only be set
to true
if the implementation expects the user to always use :>
to interact with it. For example, the
tinkerpop.server
plugin expects all user interaction through :>
, where the line is sent to Gremlin Server. In
that case, that RemoteAcceptor
implementation can return true
. On the other hand, the tinkerpop.gephi
plugin,
expects that the user sometimes call :>
and sometimes work with local evaluation as well. It interacts with the
local variable bindings in the console itself. For tinkerpop.gephi
, this method returns false
.
TinkerPop 3.1.1
Release Date: February 8, 2016
Please see the changelog for a complete list of all the modifications that are part of this release.
Upgrading for Users
Storage I/O
The gremlin-core
io-package now has a Storage
interface. The methods that were available via hdfs
(e.g. rm()
, ls()
, head()
, etc.) are now part of Storage
. Both HDFS and Spark implement Storage
via
FileSystemStorage
and SparkContextStorage
, respectively. SparkContextStorage
adds support for interacting with
persisted RDDs in the Spark cache.
This update changed a few of the file handling methods. As it stands, these changes only effect manual Gremlin Console usage as HDFS support was previously provided via Groovy meta-programing. Thus, these are not "code-based" breaking changes.
-
hdfs.rmr()
no longer exists.hdfs.rm()
is now recursive. Simply change all references tormr()
torm()
for identical behavior. -
hdfs.head(location,lines,writableClass)
no longer exists.-
For graph locations, use
hdfs.head(location,writableClass,lines)
. -
For memory locations, use
hdfs.head(location,memoryKey,writableClass,lines)
.
-
-
hdfs.head(...,ObjectWritable)
no longer exists. UseSequenceFileInputFormat
as an input format is the parsing class.
Given that HDFS (and now Spark) interactions are possible via Storage
and no longer via Groovy meta-programming,
developers can use these Storage
implementations in their Java code. In fact, Storage
has greatly simplified
complex file/RDD operations in both GiraphGraphComputer
and SparkGraphComputer
.
Finally, note that the following low-level/internal classes have been removed: HadoopLoader
and HDFSTools
.
See: TINKERPOP-1033, TINKERPOP-1023
Gremlin Server Transaction Management
Gremlin Server now has a setting called strictTransactionManagement
, which forces the user to pass
aliases
for all requests. The aliases are then used to determine which graphs will have their transactions closed
for that request. The alternative is to continue with default operations where the transactions of all configured
graphs will be closed. It is likely that strictTransactionManagement
(which is false
by default so as to be
backward compatible with previous versions) will become the future standard mode of operation for Gremlin Server as
it provides a more efficient method for transaction management.
Deprecated credentialsDbLocation
The credentialsDbLocation
setting was a TinkerGraph only configuration option to the SimpleAuthenticator
for
Gremlin Server. It provided the file system location to a "credentials graph" that TinkerGraph would read from a
Gryo file at that spot. This setting was only required because TinkerGraph did not support file persistence at the
time that SimpleAuthenticator
was created.
As of 3.1.0-incubating, TinkerGraph received a limited persistence feature that allowed the "credentials graph"
location to be specified in the TinkerGraph properties file via gremlin.tinkergraph.graphLocation
and as such the
need for credentialsDbLocation
was eliminated.
This deprecation is not a breaking change, however users should be encouraged to convert their configurations to use
the gremlin.tinkergraph.graphLocation
as soon as possible, as the deprecated setting will be removed in a future
release.
TinkerGraph Supports Any I/O
TinkerGraph’s gremlin.tinkergraph.graphLocation configuration setting can now take a fully qualified class name
of a Io.Builder
implementation, which means that custom IO implementations can be used to read and write
TinkerGraph instances.
See: TINKERPOP-886
Authenticator Method Deprecation
For users who have a custom Authenticator
implementation for Gremlin Server, there will be a new method present:
public default SaslNegotiator newSaslNegotiator(final InetAddress remoteAddress)
Implementation of this method is now preferred over the old method with the same name that has no arguments. The old
method has been deprecated. This is a non-breaking change as the new method has a default implementation that simply
calls the old deprecated method. In this way, existing Authenticator
implementations will still work.
See: TINKERPOP-995
Spark Persistence Updates
Spark RDD persistence is now much safer with a "job server" system that ensures that persisted RDDs are not garbage
collected by Spark. With this, the user is provider a spark
object that enables them to manage persisted RDDs
much like the hdfs
object is used for managing files in HDFS.
Finally, InputRDD
instance no longer need a reduceByKey()
postfix as view merges happen prior to writing the
graphRDD
. Note that a reduceByKey()
postfix will not cause problems if continued, it is simply inefficient
and no longer required.
See: TINKERPOP-1023, TINKERPOP-1027
Logging
Logging to Gremlin Server and Gremlin Console can now be consistently controlled by the log4j-server.properties
and log4j-console.properties
which are in the respective conf/
directories of the packaged distributions.
See: TINKERPOP-859
Gremlin Server Sandboxing
A number of improvements were made to the sandboxing feature of Gremlin Server (more specifically the
GremlinGroovyScriptEngine
). A new base class for sandboxing was introduce with the AbstractSandboxExtension
,
which makes it a bit easier to build white list style sandboxes. A usable implementation of this was also supplied
with the FileSandboxExtension
, which takes a configuration file containing a white list of accessible methods and
variables that can be used in scripts. Note that the original SandboxExtension
has been deprecated in favor of
the AbsstractSandboxExtension
or extending directly from Groovy’s TypeCheckingDSL
.
Deprecated supportsAddProperty()
It was realized that VertexPropertyFeatures.supportsAddProperty()
was effectively a duplicate of
VertexFeatures.supportsMetaProperties()
. As a result, supportsAddProperty()
was deprecated in favor of the other.
If using supportsAddProperty()
, simply modify that code to instead utilize supportsMetaProperties()
.
Upgrading for Providers
Important
|
It is recommended that providers also review all the upgrade instructions specified for users. Many of the changes there may prove important for the provider’s implementation. |
Graph System Providers
Data Types in Tests
There were a number of fixes related to usage of appropriate types in the test suite. There were cases where tests were mixing types, such that a single property key might have two different values. This mixed typing caused problems for some graphs and wasn’t really something TinkerPop was looking to explicitly enforce as a rule of implementing the interfaces.
While the changes should not have been breaking, providers should be aware that improved consistencies in the tests may present opportunities for test failures.
Graph Database Providers
Custom ClassResolver
For providers who have built custom serializers in Gryo, there is a new feature open that can be considered. A
GryoMapper
can now take a custom Kryo ClassResolver
, which means that custom types can be coerced to other types
during serialization (e.g. a custom identifier could be serialized as a HashMap
). The advantage to taking this
approach is that users will not need to have the provider’s serializers on the client side. They will only need to
exist on the server (presuming that the a type is coerced to a type available on the client, of course). The downside
is that serialization is then no longer a two way street. For example, a custom ClassResolver
that coerced a
custom identifier to HashMap
would let the client work with the identifier as a HashMap
, but the client would then
have to send that identifier back to the server as a HashMap
where it would be recognized as a HashMap
(not an
identifier).
See: TINKERPOP-1064
Feature Consistency
There were a number of corrections made around the consistency of Features
and how they were applied in tests.
Corrections fell into two groups of changes:
-
Bugs in the how
Features
were applied to certain tests. -
Refactoring around the realization that
VertexFeatures.supportsMetaProperties()
is really just a duplicate of features already exposed asVertexPropertyFeatures.supportsAddProperty()
.VertexPropertyFeatures.supportsAddProperty()
has been deprecated.
These changes related to "Feature Consistency" open up a number of previously non-executing tests for graphs that did not support meta-properties, so providers should be wary of potential test failure on previously non-executing tests.
Graph Processor Providers
InputRDD and OutputRDD Updates
There are two new methods on the Spark-Gremlin RDD interfaces.
-
InputRDD.readMemoryRDD()
: get aComputerResult.memory()
from an RDD. -
OutputRDD.writeMemoryRDD()
: write aComputerResult.memory()
to an RDD.
Note that both these methods have default implementations which simply work with empty RDDs. Most providers will never
need to implement these methods as they are specific to file/RDD management for GraphComputer
. The four classes that
implement these methods are PersistedOutputRDD
, PersistedInputRDD
, InputFormatRDD
, and OutputFormatRDD
. For the
interested provider, study the implementations therein to see the purpose of these two new methods.
TinkerPop 3.1.0
Release Date: November 16, 2015
Please see the changelog for a complete list of all the modifications that are part of this release.
Additional upgrade information can be found here:
Upgrading for Users
Shading Jackson
The Jackson library is now shaded to gremlin-shaded
, which will allow Jackson to version independently without
breaking compatibility with dependent libraries or with those who depend on TinkerPop. The downside is that if a
library depends on TinkerPop and uses the Jackson classes, those classes will no longer exist with the standard
Jackson package naming. They will have to shifted as follows:
-
org.objenesis
becomesorg.apache.tinkerpop.shaded.objenesis
-
com.esotericsoftware.minlog
becomesorg.apache.tinkerpop.shaded.minlog
-
com.fasterxml.jackson
becomesorg.apache.tinkerpop.shaded.jackson
See: TINKERPOP-835
PartitionStrategy and VertexProperty
PartitionStrategy
now supports partitioning within VertexProperty
. The Graph
needs to be able to support
meta-properties for this feature to work.
See: TINKERPOP-333
Gremlin Server and Epoll
Gremlin Server provides a configuration option to turn on support for Netty native transport on Linux, which has been shown to help improve performance.
See: TINKERPOP-901
Rebindings Deprecated
The notion of "rebindings" has been deprecated in favor of the term "aliases". Alias is a better and more intuitive term than rebindings which should make it easier for newcomers to understand what they are for.
Configurable Driver Channelizer
The Gremlin Driver now allows the Channerlizer
to be supplied as a configuration, which means that custom
implementations may be supplied.
See: TINKERPOP-680
GraphSON and Strict Option
The GraphMLReader
now has a strict
option on the Builder
so that if a data type for a value is invalid in some
way, GraphMLReader will simply skip that problem value. In that way, it is a bit more forgiving than before especially
with empty data.
See: TINKERPOP-756
Transaction.close() Default Behavior
The default behavior of Transaction.close()
is to rollback the transaction. This is in contrast to previous versions
where the default behavior was commit. Using rollback as the default should be thought of as a like a safer approach
to closing where a user must now explicitly call commit()
to persist their mutations.
See TINKERPOP-805 for more information.
ThreadLocal Transaction Settings
The Transaction.onReadWrite()
and Transaction.onClose()
settings now need to be set for each thread (if another
behavior than the default is desired). For gremlin-server users that may be changing these settings via scripts.
If the settings are changed for a sessionless request they will now only apply to that one request. If the settings are
changed for an in-session request they will now only apply to all future requests made in the scope of that session.
See TINKERPOP-885
Hadoop-Gremlin
-
Hadoop1 is no longer supported. Hadoop2 is now the only supported Hadoop version in TinkerPop.
-
Spark and Giraph have been split out of Hadoop-Gremlin into their own respective packages (Spark-Gremlin and Giraph-Gremlin).
-
The directory where application jars are stored in HDFS is now
hadoop-gremlin-3.2.0-incubating-libs
.-
This versioning is important so that cross-version TinkerPop use does not cause jar conflicts.
-
See link:https://issues.apache.org/jira/browse/TINKERPOP-616
Spark-Gremlin
-
Providers that wish to reuse a graphRDD can leverage the new
PersistedInputRDD
andPersistedOutputRDD
.-
This allows the graphRDD to avoid serialization into HDFS for reuse. Be sure to enabled persisted
SparkContext
(see documentation).
-
See link:https://issues.apache.org/jira/browse/TINKERPOP-868, link:https://issues.apache.org/jira/browse/TINKERPOP-925
TinkerGraph Serialization
TinkerGraph is serializable over Gryo, which means that it can shipped over the wire from Gremlin Server. This feature can be useful when working with remote subgraphs.
See: TINKERPOP-728
Deprecation in TinkerGraph
The public static String
configurations have been renamed. The old public static
variables have been deprecated.
If the deprecated variables were being used, then convert to the replacements as soon as possible.
See: TINKERPOP-926
Deprecation in Gremlin-Groovy
The closure wrappers classes GFunction
, GSupplier
, GConsumer
have been deprecated. In Groovy, a closure can be
specified using as Function
and thus, these wrappers are not needed. Also, the GremlinExecutor.promoteBindings()
method which was previously deprecated has been removed.
See: TINKERPOP-879, TINKERPOP-897
Gephi Traversal Visualization
The process for visualizing a traversal has been simplified. There is no longer a need to "name" steps that will
represent visualization points for Gephi. It is possible to just "configure" a visualTraversal
in the console:
gremlin> :remote config visualTraversal graph vg
which creates a special TraversalSource
from graph
called vg
. The traversals created from vg
can be used
to :submit
to Gephi.
Alterations to GraphTraversal
There were a number of changes to GraphTraversal
. Many of the changes came by way of deprecation, but some semantics
have changed as well:
-
ConjunctionStrategy
has been renamed toConnectiveStrategy
(no other behaviors changed). -
ConjunctionP
has been renamed toConnectiveP
(no other behaviors changed). -
DedupBijectionStrategy
has been renamed (and made more effective) asFilterRankingStrategy
. -
The
GraphTraversal
mutation API has change significantly with all previous methods being supported but deprecated.-
The general pattern used now is
addE('knows').from(select('a')).to(select('b')).property('weight',1.0)
.
-
-
The
GraphTraversal
sack API has changed with all previous methods being supported but deprecated.-
The old
sack(mult,'weight')
is nowsack(mult).by('weight')
.
-
-
GroupStep
has been redesigned such that there is now only a key- and value-traversal. No more reduce-traversal.-
The previous
group()
-methods have been renamed togroupV3d0()
. To immediately upgrade, rename all yourgroup()
-calls togroupV3d0()
. -
To migrate to the new
group()
-methods, what wasgroup().by('age').by(outE()).by(sum(local))
is nowgroup().by('age').by(outE().sum())
.
-
-
There was a bug in
fold()
, where if a bulked traverser was provided, the traverser was only represented once.-
This bug fix might cause a breaking change to a user query if the non-bulk behavior was being counted on. If so, used
dedup()
prior tofold()
.
-
-
Both
GraphTraversal().mapKeys()
andGraphTraversal.mapValues()
has been deprecated.-
Use
select(keys)
andselect(columns)
. However, note thatselect()
will not unroll the keys/values. Thus,mapKeys()
⇒select(keys).unfold()
.
-
-
The data type of
Operator
enums will now always be the highest common data type of the two given numbers, rather than the data type of the first number, as it’s been before.
Aliasing Remotes in the Console
The :remote
command in Gremlin Console has a new alias
configuration option. This alias
option allows
specification of a set of key/value alias/binding pairs to apply to the remote. In this way, it becomes possible
to refer to a variable on the server as something other than what it is referred to for purpose of the submitted
script. For example once a :remote
is created, this command:
:remote alias x g
would allow "g" on the server to be referred to as "x".
:> x.E().label().groupCount()
See: TINKERPOP-914
Upgrading for Providers
Important
|
It is recommended that providers also review all the upgrade instructions specified for users. Many of the changes there may prove important for the provider’s implementation. |
All providers should be aware that Jackson is now shaded to gremlin-shaded
and could represent breaking change if
there was usage of the dependency by way of TinkerPop, a direct dependency to Jackson may be required on the
provider’s side.
Graph System Providers
GraphStep Alterations
-
GraphStep
is no longer insideEffect
-package, but now inmap
-package as traversals support mid-traversalV()
. -
Traversals now support mid-traversal
V()
-steps. Graph system providers should ensure that a mid-traversalV()
can leverage any suitable index.
See link:https://issues.apache.org/jira/browse/TINKERPOP-762
Decomposition of AbstractTransaction
The AbstractTransaction
class has been abstracted into two different classes supporting two different modes of
operation: AbstractThreadLocalTransaction
and AbstractThreadedTransaction
, where the former should be used when
supporting ThreadLocal
transactions and the latter for threaded transactions. Of course, providers may still
choose to build their own implementation on AbstractTransaction
itself or simply implement the Transaction
interface.
The AbstractTransaction
gains the following methods to potentially implement (though default implementations
are supplied in AbstractThreadLocalTransaction
and AbstractThreadedTransaction
):
-
doReadWrite
that should execute the read-write consumer. -
doClose
that should execute the close consumer.
See: TINKERPOP-765, TINKERPOP-885
Transaction.close() Default Behavior
The default behavior for Transaction.close()
is to rollback the transaction and is enforced by tests, which
previously asserted the opposite (i.e. commit on close). These tests have been renamed to suite the new semantics:
-
shouldCommitOnCloseByDefault
becameshouldCommitOnCloseWhenConfigured
-
shouldRollbackOnCloseWhenConfigured
becameshouldRollbackOnCloseByDefault
If these tests were referenced in an OptOut
, then their names should be updated.
See: TINKERPOP-805
Graph Traversal Updates
There were numerous changes to the GraphTraversal
API. Nearly all changes are backwards compatible with respective
"deprecated" annotations. Please review the respective updates specified in the "Graph System Users" section.
-
GraphStep
is no longer insideEffect
package. Now inmap
package. -
Make sure mid-traversal
GraphStep
calls are foldingHasContainers
in for index-lookups. -
Think about copying
TinkerGraphStepStrategyTest
for your implementation so you know folding is happening correctly.
Element Removal
Element.Exceptions.elementAlreadyRemoved
has been deprecated and test enforcement for consistency have been removed.
Providers are free to deal with deleted elements as they see fit.
See: TINKERPOP-297
VendorOptimizationStrategy Rename
The VendorOptimizationStrategy
has been renamed to ProviderOptimizationStrategy
. This renaming is consistent
with revised terminology for what were formerly referred to as "vendors".
See: TINKERPOP-876
GraphComputer Updates
GraphComputer.configure(String key, Object value)
is now a method (with default implementation).
This allows the user to specify engine-specific parameters to the underlying OLAP system. These parameters are not intended
to be cross engine supported. Moreover, if there are not parameters that can be altered (beyond the standard GraphComputer
methods), then the provider’s GraphComputer
implementation should simply return and do nothing.
Driver Providers
Aliases Parameter
The "rebindings" argument to the "standard" OpProcessor
has been renamed to "aliases". While "rebindings" is still
supported it is recommended that the upgrade to "aliases" be made as soon as possible as support will be removed in
the future. Gremlin Server will not accept both parameters at the same time - a request must contain either one
parameter or the other if either is supplied.
See: TINKERPOP-913
ThreadLocal Transaction Settings
If a driver configures the Transaction.onReadWrite()
or Transaction.onClose()
settings, note that these settings no
longer apply to all future requests. If the settings are changed for a sessionless request they will only apply to
that one request. If the settings are changed from an in-session request they will only apply to all future requests
made in the scope of that session.
See: TINKERPOP-885
TinkerPop 3.0.0
A Gremlin Rāga in 7/16 Time
TinkerPop 3.0.2
Release Date: October 19, 2015
Please see the changelog for a complete list of all the modifications that are part of this release.
Upgrading for Users
BulkLoaderVertexProgram (BLVP)
BulkLoaderVertexProgram
now supports arbitrary inputs (i addition to HadoopGraph
, which was already supported in
version 3.0.1-incubating). It can now also read from any TP3 enabled graph, like TinkerGraph
or Neo4jGraph
.
TinkerGraph
TinkerGraph can now be configured to support persistence, where TinkerGraph will try to load a graph from a specified
location and calls to close()
will save the graph data to that location.
Gremlin Driver and Server
There were a number of fixes to gremlin-driver
that prevent protocol desynchronization when talking to Gremlin
Server.
On the Gremlin Server side, Websocket sub-protocol introduces a new "close" operation to explicitly close sessions. Prior to this change, sessions were closed in a more passive fashion (i.e. session timeout). There were also so bug fixes around the protocol as it pertained to third-party drivers (e.g. python) using JSON for authentication.
Upgrading for Providers
Graph Driver Providers
Gremlin Server close Operation
It is important to note that this feature of the sub-protocol applies to the SessionOpProcessor
(i.e. for
session-based requests). Prior to this change, there was no way to explicitly close a session. Sessions would get
closed by the server after timeout of activity. This new "op" gives drivers the ability to close the session
explicitly and as needed.
TinkerPop 3.0.1
Release Date: September 2, 2015
Please see the changelog for a complete list of all the modifications that are part of this release.
Upgrading for Users
Gremlin Server
Gremlin Server now supports a SASL-based
(Simple Authentication and Security Layer) authentication model and a default SimpleAuthenticator
which implements
the PLAIN
SASL mechanism (i.e. plain text) to authenticate requests. This gives Gremlin Server some basic security
capabilities, especially when combined with its built-in SSL feature.
There have also been changes in how global variable bindings in Gremlin Server are established via initialization
scripts. The initialization scripts now allow for a Map
of values that can be returned from those scripts.
That Map
will be used to set global bindings for the server. See this
sample script
for an example.
See: TINKERPOP-576
Neo4j
Problems related to using :install
to get the Neo4j plugin operating in Gremlin Console on Windows have been
resolved.
See: TINKERPOP-804
Upgrading for Providers
Graph System Providers
GraphFactoryClass Annotation
Providers can consider the use of the new GraphFactoryClass
annotation to specify the factory class that GraphFactory
will use to open a new Graph
instance. This is an optional feature and will generally help implementations that have an interface extending Graph
. If that is the case, then this annotation can be used in the following fashion:
@GraphFactory(MyGraphFactory.class)
public interface MyGraph extends Graph{
}
MyGraphFactory
must contain the static open
method that is normally expected by GraphFactory
.
See: TINKERPOP-778
GraphProvider.Descriptor Annotation
There was a change that affected providers who implemented GraphComputer
related tests such as the ProcessComputerSuite
. If the provider runs those tests, then edit the GraphProvider
implementation for those suites to include the GraphProvider.Descriptor
annotation as follows:
@GraphProvider.Descriptor(computer = GiraphGraphComputer.class)
public final class HadoopGiraphGraphProvider extends HadoopGraphProvider {
public GraphTraversalSource traversal(final Graph graph) {
return GraphTraversalSource.build().engine(ComputerTraversalEngine.build().computer(GiraphGraphComputer.class)).create(graph);
}
}
See: TINKERPOP-690 for more information.
Semantics of Transaction.close()
There were some adjustments to the test suite with respect to how Transaction.close()
was being validated. For most providers, this will generally mean checking OptOut
annotations for test renaming problems. The error that occurs when running the test suite should make it apparent that a test name is incorrect in an OptOut
if there are issues there.
See: TINKERPOP-764 for more information.
Graph Driver Providers
Authentication
Gremlin Server now supports SASL-based authentication. By default, Gremlin Server is not configured with authentication turned on and authentication is not required, so existing drivers should still work without any additional change. Drivers should however consider implementing this feature as it is likely that many users will want the security capabilities that it provides.